{"pageNumber":"618","pageRowStart":"15425","pageSize":"25","recordCount":46679,"records":[{"id":70039792,"text":"ofr20121162 - 2012 - Dissolved methane in New York groundwater, 1999-2011","interactions":[],"lastModifiedDate":"2012-09-11T17:16:26","indexId":"ofr20121162","displayToPublicDate":"2012-09-04T00:00:00","publicationYear":"2012","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":"2012-1162","title":"Dissolved methane in New York groundwater, 1999-2011","docAbstract":"New York State is underlain by numerous bedrock formations of Cambrian to Devonian age that produce natural gas and to a lesser extent oil. The first commercial gas well in the United States was dug in the early 1820s in Fredonia, south of Buffalo, New York, and produced methane from Devonian-age black shale. Methane naturally discharges to the land surface at some locations in New York. At Chestnut Ridge County Park in Erie County, just south of Buffalo, N.Y., several surface seeps of natural gas occur from Devonian black shale, including one behind a waterfall. Methane occurs locally in the groundwater of New York; as a result, it may be present in drinking-water wells, in the water produced from those wells, and in the associated water-supply systems (Eltschlager and others, 2001). The natural gas in low-permeability bedrock formations has not been accessible by traditional extraction techniques, which have been used to tap more permeable sandstone and carbonate bedrock reservoirs. However, newly developed techniques involving horizontal drilling and high-volume hydraulic fracturing have made it possible to extract previously inaccessible natural gas from low-permeability bedrock such as the Marcellus and Utica Shales. The use of hydraulic fracturing to release natural gas from these shale formations has raised concerns with water-well owners and water-resource managers across the Marcellus and Utica Shale region (West Virginia, Pennsylvania, New York and parts of several other adjoining States). Molofsky and others (2011) documented the widespread natural occurrence of methane in drinking-water wells in Susquehanna County, Pennsylvania. In the same county, Osborn and others (2011) identified elevated methane concentrations in selected drinking-water wells in the vicinity of Marcellus gas-development activities, although pre-development samples were not available for comparison. In order to manage water resources in areas of gas-well drilling and hydraulic fracturing in New York, the natural occurrence of methane in the State's aquifers needs to be documented. This brief report presents a compilation of data on dissolved methane concentrations in the groundwater of New York available from the U.S. Geological Survey (USGS) National Water Information System (NWIS) (http://waterdata.usgs.gov/nwis).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121162","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Kappel, W.M., and Nystrom, E.A., 2012, Dissolved methane in New York groundwater, 1999-2011: U.S. Geological Survey Open-File Report 2012-1162, 6 p., https://doi.org/10.3133/ofr20121162.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":260130,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1162.gif"},{"id":260133,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1162/pdf/ofr2012-1162_508_09072012.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260054,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1162","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.75138888888888,40.48444444444444 ], [ -79.75138888888888,45.00111111111111 ], [ -71.95055555555555,45.00111111111111 ], [ -71.95055555555555,40.48444444444444 ], [ -79.75138888888888,40.48444444444444 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0236e4b0c8380cd4ff4d","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466929,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039874,"text":"ofr20121193 - 2012 - Demographics and run timing of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2011","interactions":[],"lastModifiedDate":"2016-05-03T13:24:05","indexId":"ofr20121193","displayToPublicDate":"2012-09-03T15:56:00","publicationYear":"2012","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":"2012-1193","title":"Demographics and run timing of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2011","docAbstract":"

Executive Summary

\n

Data from a long-term capture-recapture program were used to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. In addition, beginning in 2005, individuals that had been previously PIT-tagged were re-encountered on remote underwater antennas deployed throughout sucker spawning areas. Captures and remote encounters during spring 2011 were used to describe the spawning migrations in that year and also were incorporated into capture-recapture analyses of population dynamics.

\n

Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning populations. In addition, data on the size composition of captured fish was examined to provide corroborating evidence of recruitment. Survival and recruitment estimates were used to derive estimates of changes in population size over time and to determine the status of the populations in 2010. Separate analyses were conducted for each species and also for each subpopulation of Lost River suckers (LRS). One subpopulation of LRS migrates into tributaries to spawn, similar to shortnose suckers (SNS), whereas the other subpopulation spawns at upwelling areas along the eastern shoreline of the lake.

\n

In 2011, we captured, tagged, and released 806 LRS at four lakeshore spawning areas and recaptured an additional 1,006 individuals that had been tagged in previous years. Across all four areas, the remote antennas detected 6,547 individual LRS during the spawning season. Spawning activity peaked in April and most individuals were encountered at Sucker Springs and Cinder Flats. In the Williamson River, we captured, tagged, and released 2,742 LRS and 123 SNS, and recaptured 376 LRS and 58 SNS that had been tagged in previous years. Remote PIT tag antennas in the traps at the weir on the Williamson River and remote antenna systems that spanned the river at four different locations on the Williamson and Sprague Rivers detected a total of 16,494 LRS and 5,450 SNS. Most LRS passed upstream between mid-April and mid-May when water temperatures were rising and near or greater than 10 °C. In contrast, the largest peaks in upstream passage of SNS occurred in early and mid-May when water temperatures were rising and near or greater than 12 °C. Finally, an additional 875 LRS and 1,600 SNS were captured in trammel net sampling at pre-spawn staging areas in the northeastern portion of the lake. Of these, 191of the LRS and 571 of the SNS had been PIT-tagged in previous years. For LRS, encounter histories showed that more than 90 percent of the fish captured at the staging areas were members of the subpopulation that spawns in the tributaries.

\n

Capture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for more than 10,500 individuals, and analyses for the subpopulation that spawns in the tributaries included more than 22,000 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than 0.9) between 1999 and 2009. Notably lower survival occurred for both sexes from the tributaries in 2000, for both sexes from the shoreline areas in 2002, and for males from the tributaries in 2006. Between 2001 and 2010, the abundance of males in the lakeshore spawning subpopulation decreased by 50–60 percent and the abundance of females decreased by 29–44 percent. Capture-recapture models suggested that the abundance of the river spawning subpopulation of LRS has increased substantially since 2006. The increase over this period was largely due to large estimated recruitment events in 2003, 2006, and 2008. We know that the estimate in 2006 is substantially biased in favor of recruitment due to a sampling issue. We are skeptical of the magnitude of recruitment indicated by the 2003 and 2008 estimates as well because very few small individuals that would indicate the presence of new recruits were captured in those years. If we assume that little or no recruitment has occurred, the abundance of both sexes in the river spawning subpopulation decreased by more than 40 percent between 2002 and 2010.

\n

Capture-recapture analyses for SNS included encounter histories for more than 15,500 individuals. The majority of annual survival estimates between 2001 and 2009 were high (greater than 0.8), but SNS did experience more years of low survival than either LRS subpopulation. The survival of both sexes was particularly low in both 2001 and 2004, and male survival also was somewhat low in 2002 and 2006. Capture-recapture models and size composition data indicated that recruitment of new individuals into the SNS spawning population was trivial in nearly all years between 2001 and 2009. As a result, the abundance of males decreased by 64–82 percent and the abundance of females decreased by 62–76 percent between 2001 and 2010.

\n

Despite relatively high survival in most years, both species have experienced substantial declines in the abundance of spawning fish because losses from mortality have not been balanced by recruitment of new individuals. Although capture-recapture data indicate substantial recruitment of new individuals into the adult spawning populations for SNS and river spawning LRS in some years, size data do not corroborate these estimates. In fact, fork length data indicate that all populations are largely comprised of fish that were present in the late 1990s and early 2000s. As a result, the status of the endangered sucker populations in Upper Klamath Lake remains worrisome, and the situation is most dire for shortnose suckers. Future investigations should explore the connections between sucker recruitment and survival and various environmental factors, such as water quality and disease. Our monitoring program provides a robust platform for estimating vital population parameters, evaluating the status of the populations, and assessing the effectiveness of conservation and recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121193","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B., and Harris, A., 2012, Demographics and run timing of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2011: U.S. Geological Survey Open-File Report 2012-1193, vii, 42 p., https://doi.org/10.3133/ofr20121193.","productDescription":"vii, 42 p.","numberOfPages":"52","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":261836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1193.jpg"},{"id":261832,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1193/pdf/ofr20121193.pdf","text":"Report","size":"2.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":261831,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1193/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.166666666666664 ], [ -122.16666666666667,42.666666666666664 ], [ -121.75,42.666666666666664 ], [ -121.75,42.166666666666664 ], [ -122.16666666666667,42.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe86e4b0c8380cd4ed8b","contributors":{"authors":[{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":467113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janney, Eric C. 0000-0002-0228-2174","orcid":"https://orcid.org/0000-0002-0228-2174","contributorId":83629,"corporation":false,"usgs":true,"family":"Janney","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":467115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":467114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":467112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133432,"text":"70133432 - 2012 - Ontogenetic and among-individual variation in foraging strategies of northeast Pacific white sharks based on stable isotope analysis","interactions":[],"lastModifiedDate":"2021-01-05T17:46:49.701126","indexId":"70133432","displayToPublicDate":"2012-09-01T10:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic and among-individual variation in foraging strategies of northeast Pacific white sharks based on stable isotope analysis","docAbstract":"

There is growing evidence for individuality in dietary preferences and foraging behaviors within populations of various species. This is especially important for apex predators, since they can potentially have wide dietary niches and a large impact on trophic dynamics within ecosystems. We evaluate the diet of an apex predator, the white shark (Carcharodon carcharias), by measuring the stable carbon and nitrogen isotope composition of vertebral growth bands to create lifetime records for 15 individuals from California. Isotopic variations in white shark diets can reflect within-region differences among prey (most importantly related to trophic level), as well as differences in baseline values among the regions in which sharks forage, and both prey and habitat preferences may shift with age. The magnitude of isotopic variation among sharks in our study (>5‰ for both elements) is too great to be explained solely by geographic differences, and so must reflect differences in prey choice that may vary with sex, size, age and location. Ontogenetic patterns in δ15N values vary considerably among individuals, and one third of the population fit each of these descriptions: 1) δ15N values increased throughout life, 2) δ15N values increased to a plateau at ~5 years of age, and 3) δ15N values remained roughly constant values throughout life. Isotopic data for the population span more than one trophic level, and we offer a qualitative evaluation of diet using shark-specific collagen discrimination factors estimated from a 3+ year captive feeding experiment (Δ13Cshark-diet and Δ15Nshark-diet equal 4.2‰ and 2.5‰, respectively). We assess the degree of individuality with a proportional similarity index that distinguishes specialists and generalists. The isotopic variance is partitioned among differences between-individual (48%), within-individuals (40%), and by calendar year of sub-adulthood (12%). Our data reveal substantial ontogenetic and individual dietary variation within a white shark population.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0045068","usgsCitation":"Kim, S., Tinker, M.T., Estes, J.A., and Koch, P., 2012, Ontogenetic and among-individual variation in foraging strategies of northeast Pacific white sharks based on stable isotope analysis: PLoS ONE, v. 7, no. 9, p. 1-11, https://doi.org/10.1371/journal.pone.0045068.","productDescription":"11 p.","startPage":"1","endPage":"11","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-029024","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0045068","text":"Publisher Index Page"},{"id":381881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-09-28","publicationStatus":"PW","scienceBaseUri":"546c7623e4b0f4a3478a6176","contributors":{"authors":[{"text":"Kim, S.L.","contributorId":127452,"corporation":false,"usgs":false,"family":"Kim","given":"S.L.","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":525199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":525197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Estes, J. A.","contributorId":53319,"corporation":false,"usgs":true,"family":"Estes","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koch, P.L.","contributorId":101878,"corporation":false,"usgs":true,"family":"Koch","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":525200,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040984,"text":"70040984 - 2012 - Bias from false-positive detections and strategies for their removal in studies using telemetry","interactions":[{"subject":{"id":70040984,"text":"70040984 - 2012 - Bias from false-positive detections and strategies for their removal in studies using telemetry","indexId":"70040984","publicationYear":"2012","noYear":false,"chapter":"9.5","title":"Bias from false-positive detections and strategies for their removal in studies using telemetry"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"id":1}],"isPartOf":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"lastModifiedDate":"2022-12-21T15:56:25.925847","indexId":"70040984","displayToPublicDate":"2012-09-01T09:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9.5","title":"Bias from false-positive detections and strategies for their removal in studies using telemetry","docAbstract":"

The use of radio and acoustic telemetry to study aquatic animals has flourished since the 1950s and 1960s (see Section 1). Electronic data-logging receivers are commonly used in both types of active telemetry to record the presence of transmitters in the detection field formed by one or more antennas or hydrophones. As described in Sections 5.1 and 7.1, the path of a transmitter signal to a telemetry receiver can be influenced by many factors and the received signal is not always detected or correctly assigned. It should be of no surprise to users of active telemetry systems that not all records in telemetry receivers are from tagged fish and not all tagged fish are recorded when present.

Four types of observations are possible in data from telemetry receiving systems based on the binary nature of presence and absence (Table 1). True positives and true negatives are what one ideally expects from telemetry systems, but in most studies they are accompanied by false negatives (not recorded when present) and false positives (recorded when absent). False negatives arise due to a variety of causes, including insufficient detection area relative to transmitter pulse rate and fish travel speed, collisions between transmitters in the detection area, interference from ambient noise, or a received signal too weak to be recorded (see Sections 3, 5, and 7). The probability of false negatives can be calculated as (1–detection probability) and can be estimated with proper study design and incorporated into estimates of fish presence (see Sections 7.2 and 9.2).

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.47886/9781934874264.ch22","usgsCitation":"Beeman, J.W., and Perry, R.W., 2012, Bias from false-positive detections and strategies for their removal in studies using telemetry, chap. 9.5 of Telemetry techniques: A user guide for fisheries research, https://doi.org/10.47886/9781934874264.ch22.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037562","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fcf9d4e4b0a6037df2b9b6","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625592,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625593,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625594,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625591,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040981,"text":"70040981 - 2012 - Developing a quality assurance plan for telemetry studies: A necessary management tool for an effective study","interactions":[{"subject":{"id":70040981,"text":"70040981 - 2012 - Developing a quality assurance plan for telemetry studies: A necessary management tool for an effective study","indexId":"70040981","publicationYear":"2012","noYear":false,"chapter":"9.3","title":"Developing a quality assurance plan for telemetry studies: A necessary management tool for an effective study"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"id":1}],"isPartOf":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"lastModifiedDate":"2022-12-20T17:56:33.587977","indexId":"70040981","displayToPublicDate":"2012-09-01T09:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"9.3","title":"Developing a quality assurance plan for telemetry studies: A necessary management tool for an effective study","docAbstract":"

Telemetry has been used to answer various questions associated with research, management, and monitoring programs and to monitor animal behavior and population dynamics throughout the world. Many telemetry projects have been developed to study the passage, behavior, and survival of migrating adult and juvenile salmonids at hydroelectric projects on the mainstem Columbia and Snake rivers (Skalski et al. 2001a, 2001b; Skalski et al. 2002; Keefer et al. 2004; Goniea et al. 2006; Plumb et al. 2006). Telemetry based field evaluations of the survival of salmon through hydroelectric projects are costly because of the technology (tags, telemetry systems, infrastructure, etc.) and personnel required to conduct the evaluations. Given the cost of implementing these projects, and the financial and conservation implications of the decisions made from the research results (e.g., forgone electricity production and conservation of threatened and endangered animals), ensuring quality data are collected by documenting all procedures, training, data checks, and that sound protocols and quality assurance and control procedures are in place is paramount.

Telemetry studies can pose unique data collection, processing, and analysis challenges. For instance, inferences about entire populations of animals are made from study animals that are captured, held, and tagged at disparate locations. Consequently great care must be taken to ensure that any potential biases that could arise from field procedures must be minimized (Peven et al. 2005). Interrogations of released study animals are remotely conducted by telemetry systems throughout the study area. The continuous recording of telemetry systems can result in large numbers of detections over a short time frame and the potential for false positive detections from records that are weak or erroneous. Thus, there is the potential to generate large data sets (many thousands of lines) that require significant postprocessing. Data reduction can be done using software or programming code within a software package or manually to discern noise from valid data and pull out the pertinent information for analysis. In either case, consistent well-documented procedures need to be in place to ensure quality results and allow for repeatability of study methods.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.47886/9781934874264.ch20","usgsCitation":"Hardiman, J.M., Walker, C.E., and Counihan, T.D., 2012, Developing a quality assurance plan for telemetry studies: A necessary management tool for an effective study, chap. 9.3 of Telemetry techniques: A user guide for fisheries research, https://doi.org/10.47886/9781934874264.ch20.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031751","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fcfad1e4b0a6037df2bbcb","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625665,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625666,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625667,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Christopher E.","contributorId":65938,"corporation":false,"usgs":true,"family":"Walker","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":625663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040983,"text":"70040983 - 2012 - Using mark-recapture models to estimate survival from telemetry data: Chapter 9.2","interactions":[{"subject":{"id":70040983,"text":"70040983 - 2012 - Using mark-recapture models to estimate survival from telemetry data: Chapter 9.2","indexId":"70040983","publicationYear":"2012","noYear":false,"title":"Using mark-recapture models to estimate survival from telemetry data: Chapter 9.2"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"id":1}],"isPartOf":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"lastModifiedDate":"2022-12-21T15:24:29.732869","indexId":"70040983","displayToPublicDate":"2012-09-01T09:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Using mark-recapture models to estimate survival from telemetry data: Chapter 9.2","docAbstract":"

Analyzing telemetry data within a mark–recapture framework is a powerful approach for estimating demographic parameters (e.g., survival and movement probabilities) that might otherwise be difficult to measure. Yet many studies using telemetry techniques focus on fish behavior and fail to recognize the potential of telemetry data to provide information about fish survival. The sophistication of both mark–recapture modeling and telemetry has dramatically improved since the 1980s, largely due to technological advancements in computing power (for mark–recapture models) and electronic components (for telemetry). Such advances now allow mark–recapture models to take advantage of the detailed information that telemetry techniques can provide.

The key feature of mark–recapture models is simultaneous estimation of detection and survival probabilities. With telemetry, a “capture” event consists of detecting a given tag code one or more times at a specific location or time. By contrast, in some studies interest may focus on the probability of detecting a single tag transmission (see Sections 7.2 and 9.1). Compared to conventional mark and recapture methods, telemetry methods often have greater detection probabilities due to large detection ranges, increased “effort” (i.e., continuous monitoring with autonomous receivers), and ability to simultaneously monitor multiple locations. Nonetheless, perfect detectability is rare in telemetry studies because both random (e.g., from electronic noise) and nonrandom processes (e.g., receiver loses power temporarily) can allow a fish to pass a receiver undetected. Failure to account for imperfect detection can lead to serious bias in survival estimates. When using telemetry to estimate survival, it is therefore critical to explicitly estimate detection probabilities to ensure unbiased estimates of survival (see Section 7.2). Fortunately, using telemetry techniques and mark–recapture models together yields the best of both worlds: Well-designed telemetry systems deliver high detection probabilities that result in precise estimates from small sample sizes. Mark–recapture models ensure estimates of the demographic parameters are unbiased with respect to the detection process.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.47886/9781934874264.ch19","usgsCitation":"Perry, R.W., Castro-Santos, T.R., Holbrook, C., and Sandford, B., 2012, Using mark-recapture models to estimate survival from telemetry data: Chapter 9.2, chap. of Telemetry techniques: A user guide for fisheries research, p. 453-475, https://doi.org/10.47886/9781934874264.ch19.","productDescription":"23 p.","startPage":"453","endPage":"475","numberOfPages":"518","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037563","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fd062fe4b0a6037df2d077","contributors":{"editors":[{"text":"Adams, Noah","contributorId":91604,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","affiliations":[],"preferred":false,"id":625682,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625683,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625684,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":625659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":625660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandford, Benjamin P.","contributorId":118178,"corporation":false,"usgs":true,"family":"Sandford","given":"Benjamin P.","affiliations":[],"preferred":false,"id":515037,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044110,"text":"70044110 - 2012 - Time-to-event analysis as a framework for quantifying fish passage performance","interactions":[],"lastModifiedDate":"2022-12-27T16:31:22.906306","indexId":"70044110","displayToPublicDate":"2012-09-01T09:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"9.1","title":"Time-to-event analysis as a framework for quantifying fish passage performance","docAbstract":"

Fish passage is the result of a sequence of processes, whereby fish must approach, enter, and pass a structure. Each of these processes takes time, and fishway performance is best quantified in terms of the rates at which each process is completed. Optimal performance is achieved by maximizing the rates of approach, entry, and passage through safe and desirable routes. Sometimes, however, it is necessary to reduce rates of passage through less desirable routes in order to increase proportions passing through the preferred route. Effectiveness of operational or structural modifications for achieving either of these goals is best quantified by applying time-to-event analysis, commonly known as survival analysis methods, to telemetry data. This set of techniques allows for accurate estimation of passage rates and covariate effects on those rates. Importantly, it allows researchers to quantify rates that vary over time, as well as the effects of covariates that also vary over time. Finally, these methods are able to control for competing risks, i.e., the presence of alternate passage routes, failure to pass, or other fates that remove fish from the pool of candidates available to pass through a particular route. In this chapter, we present a model simulation of telemetered fish passing a hydroelectric dam, and provide step-by-step guidance and rationales for performing time-to-event analysis on the resulting data. We demonstrate how this approach removes bias from performance estimates that can result from using methods that focus only on proportions passing each route. Time-to-event analysis, coupled with multinomial models for measuring survival, provides a comprehensive set of techniques for quantifying fish passage, and a framework from which performance among different sites can be better understood.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Castro-Santos, T.R., and Perry, R.W., 2012, Time-to-event analysis as a framework for quantifying fish passage performance, chap. 9.1 of Telemetry techniques: A user guide for fisheries research, p. 427-452.","productDescription":"26 p.","startPage":"427","endPage":"452","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032289","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319637,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319636,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55068c/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fd0587e4b0a6037df2cf7e","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625655,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625656,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625657,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":625653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043665,"text":"70043665 - 2012 - User’s guide and metada for the PICES Nonindigenous Species Information System","interactions":[],"lastModifiedDate":"2016-05-03T15:04:17","indexId":"70043665","displayToPublicDate":"2012-09-01T07:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"User’s guide and metada for the PICES Nonindigenous Species Information System","docAbstract":"

Introduction 

\n

Welcome to the PICES Nonindigenous Species Information System, a Microsoft Access database that displays the biogeographic distributions, invasion status, vectors, and key life history attributes of the approximately 740 reported nonindigenous species (NIS) in the estuarine and near-coastal habitats of the North Pacific and Hawaii. This database was developed by the U.S. Environmental Protection Agency and the U.S. Geological Survey under the auspices of Working Group 21 (Invasive Species) of the North Pacific Marine Science Organization (PCIES). The PICES database contains the data used to generate the “Atlas of Nonindigenous Marine and Estuarine Species in the North Pacific” (Lee and Reusser, 2012; herein referred to as the “Atlas”). The User’s Guide provides instructions on how to use the PICES database as well as metadata for the database and the Atlas. We note that for most users, the Atlas provides a simpler approach to accessing key information on NIS in the PICES countries than the database, though the database does provide additional information on species and sources as well as allowing users to extract information on specific taxa and/or locations (see Section 4).

\n

The PICES database also includes species reported from the PICES Rapid Assessment Surveys (RAS). PICES sponsored four rapid assessment surveys with the objective of quickly characterizing the native, non-native, and cryptogenic species present in different locations. Surveys were sponsored in Dalian, China in 2008, Jeju, Korea in 2009, Newport, Oregon, USA in 2010, and Peter the Great Bay, near Vladivostok and Nakhodka, Russia in 2011 (http://www.pices.int/publications/pices_press/volume19/v19_n1/pp_30-31_Kobe-WS_f.pdf, http://www.pices.int/publications/pices_press/volume20/v20_n1/pp_26-29_RAS-2011.pdf). The PICES database contains the RAS species that were made available in time for inclusion. Thus, the database does not capture all the species found in these surveys. In addition, much of the information on the RAS species was provided by the experts conducting the survey, and their distributions, environmental requirements, and life history attributes were not evaluated to the same level of detail by the PICES authors as the North Pacific NIS. In lieu of the more extensive review as conduced with the Atlas species, the information on the RAS species needs to be considered preliminary. Additionally, it is important to use the “Map All Distributions” option (see Section 3.6.6) when mapping their distribution or conducting a query. The general reference for the RAS surveys in the PICES database is “PICES Working Group 21, YEAR SURVEY”.

\n

The overall goal of both the database and Atlas was to simplify and standardize the dissemination of distributional, habitat, and life history characteristics of near-coastal and estuarine nonindigenous species. This database provides a means of querying these data and displaying the information in a consistent format. The specific classes of information the database captures include:

\n\n

This standardized and synthesized data in the database and the Atlas provide the basic information needed to address a number of managerial and scientific needs. Thus, users will be able to:

\n\n

The data in the Atlas of Nonindigenous Marine and Estuarine Species in the North Pacific (Lee and Reusser, 2012) are up-to-date as of June 2012. Updates to the PICES database were made in September 2012. 

","language":"English","publisher":"U.S. Environmental Protection Agengy","usgsCitation":"Lee, Reusser, D.A., Marko, K., and Ranelletti, M., 2012, User’s guide and metada for the PICES Nonindigenous Species Information System, vii, 112 p.","productDescription":"vii, 112 p.","numberOfPages":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040946","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320912,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://nepis.epa.gov/Exe/ZyNET.exe/P100FZ0R.txt?ZyActionD=ZyDocument&Client=EPA&Index=1995%20Thru%201999%7C1976%20Thru%201980%7C2006%20Thru%202010%7C1991%20Thru%201994%7CHardcopy%20Publications%7C2000%20Thru%202005%7C1986%20Thru%201990%7C2011%20Thru%202015%7C1981%20Thru%201985%7CPrior%20to%201976&Docs=&Query=User%27s%20Guide%20Metadata%20PICES%20Nonindigenous%20Species%20Information%20System%20&Time=&EndTime=&SearchMethod=2&TocRestrict=n&Toc=&TocEntry=&QField=&QFieldYear=&QFieldMonth=&QFieldDay=&UseQField=&IntQFieldOp=0&ExtQFieldOp=0&XmlQuery=&File=D%3A%5CZYFILES%5CINDEX%20DATA%5C11THRU15%5CTXT%5C00000006%5CP100FZ0R.txt&User=ANONYMOUS&Password=anonymous&SortMethod=-%7Ch&MaximumDocuments=15&FuzzyDegree=0&ImageQuality=r85g16/r85g16/x150y150g16/i500&Display=hpfr&DefSeekPage=x&SearchBack=ZyActionL&Back=ZyActionS&BackDesc=Results%20page&MaximumPages=1&ZyEntry=1&SeekPage=x"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5729cbbce4b0b13d3919a3df","contributors":{"authors":[{"text":"Lee, Henry II","contributorId":119739,"corporation":false,"usgs":true,"family":"Lee","suffix":"Henry II","affiliations":[],"preferred":false,"id":516728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marko, Katharine Katharine","contributorId":121216,"corporation":false,"usgs":true,"family":"Marko","given":"Katharine","suffix":"Katharine","email":"","affiliations":[],"preferred":false,"id":516729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ranelletti, Marla Marla","contributorId":117077,"corporation":false,"usgs":true,"family":"Ranelletti","given":"Marla","suffix":"Marla","email":"","affiliations":[],"preferred":false,"id":516727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157117,"text":"70157117 - 2012 - Use of acoustic telemetry to evaluate survival and behavior of juvenile salmonids at hydroelectric dams: A case study from Rocky Reach Dam, Columbia River, USA: Chapter 8.1","interactions":[],"lastModifiedDate":"2022-11-07T17:18:47.898501","indexId":"70157117","displayToPublicDate":"2012-09-01T07:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Use of acoustic telemetry to evaluate survival and behavior of juvenile salmonids at hydroelectric dams: A case study from Rocky Reach Dam, Columbia River, USA: Chapter 8.1","docAbstract":"

Telemetry provides a powerful and flexible tool for studying fish and other aquatic animals, and its use has become increasingly commonplace. However, telemetry is gear intensive and typically requires more specialized knowledge and training than many other field techniques. As with other scientific methods, collecting good data is dependent on an understanding of the underlying principles behind the approach, knowing how to use the equipment and techniques properly, and recognizing what to do with the data collected. This book provides a road map for using telemetry to study aquatic animals, and provides the basic information needed to plan, implement, and conduct a telemetry study under field conditions. Topics include acoustic or radio telemetry study design, tag implantation techniques, radio and acoustic telemetry principles and case studies, and data management and analysis. Chapters are written by biologists, technicians, and engineers from the private, academic, and government sectors, with decades of experience using these technologies.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Steigl, T.W., and Holbrook, C., 2012, Use of acoustic telemetry to evaluate survival and behavior of juvenile salmonids at hydroelectric dams: A case study from Rocky Reach Dam, Columbia River, USA: Chapter 8.1, chap. of Telemetry techniques: A user guide for fisheries research, p. 361-387.","productDescription":"17 p.","startPage":"361","endPage":"387","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319634,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55068c/"}],"country":"United States","state":"Washington","otherGeospatial":"Rocky Reach Dam, Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.30529313111194,\n 47.409615789837716\n ],\n [\n -120.29027424303442,\n 47.409581090031566\n ],\n [\n -120.30426911601519,\n 47.44214226124669\n ],\n [\n -120.3107545449576,\n 47.46337698997792\n ],\n [\n -120.3110958833227,\n 47.46960729382519\n ],\n [\n -120.3052931311114,\n 47.47768251454309\n ],\n [\n -120.3046104543806,\n 47.485525826469654\n ],\n [\n -120.29607699524571,\n 47.517930909705\n ],\n [\n -120.2841301524571,\n 47.536830643814284\n ],\n [\n -120.26467386563013,\n 47.53867415570781\n ],\n [\n -120.24828962409183,\n 47.54881231252412\n ],\n [\n -120.24828962409183,\n 47.5605609045754\n ],\n [\n -120.26535654236231,\n 47.561546918314605\n ],\n [\n -120.2964183336125,\n 47.54634264283669\n ],\n [\n -120.30870651476621,\n 47.52767682081111\n ],\n [\n -120.32167737265024,\n 47.480946908168164\n ],\n [\n -120.32918681668892,\n 47.46041161699853\n ],\n [\n -120.33601358399642,\n 47.460873172345885\n ],\n [\n -120.3189466657273,\n 47.43501983259577\n ],\n [\n -120.30529313111194,\n 47.409615789837716\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb718e4b058f706e53f6e","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":571720,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":571721,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":571722,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Steigl, Tracy W.","contributorId":147448,"corporation":false,"usgs":false,"family":"Steigl","given":"Tracy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":571719,"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":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":571718,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043666,"text":"70043666 - 2012 - Atlas of nonindigenous marine and estuarine species in the North Pacific","interactions":[],"lastModifiedDate":"2016-05-03T14:51:29","indexId":"70043666","displayToPublicDate":"2012-09-01T03:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Atlas of nonindigenous marine and estuarine species in the North Pacific","docAbstract":"

Executive Summary

\n

Marine and estuarine nonindigenous species (NIS) are found across the world’s oceans, and designing effective management strategies to mitigate this economic, ecological and human health threat requires a basic understanding of the existing invasion patterns at regional to global scales. However, to date, syntheses at ocean basin scales have essentially been nonexistent. To fill the gap for the North Pacific, we synthesized the distributions, invasion history, environmental tolerances, and natural history of the near-coastal nonindigenous species (NIS) reported from the member countries of the North Pacific Marine Science Organization (PICES; United States, Canada, China, Republic of Korea, Japan, and Russia). The hierarchical “Marine Ecoregions of the World” (MEOW) biogeographic schema was used as the framework for assessing species’ distributions, with the modification that we added a “region” level to differentiate eastern and western sides of oceans. The two North Pacific regions are the Northeast Pacific (NEP), which extends from the Gulf of California to the Aleutian Islands, and the Northwest Pacific (NWP), which extends from the East China Sea to the Kamchatka Shelf. To have complete coverage of the United States, we included the MEOW Hawaii Ecoregion as a separate reporting unit. To have complete coverage of Japan and China, we combined five MEOW ecoregions in southern China and Japan into the North Central-Indo Pacific (NCIP) Region. The various types of information were synthesized in a Microsoft Access database, the “PICES Nonindigenous Species Information System”, which is further described in the “User’s Guide and Metadata for the PICES Nonindigenous Species Information System” (Lee et al., 2012). The PICES database was then used to generate two-page “species profiles” that map the native and introduced distributions of each species and provide a standardized summary of its invasion history, environmental tolerances, and natural history. These species profiles form the bulk of the “Atlas of Nonindigenous Marine and Estuarine Species in the North Pacific”.

\n

A total of 747 near-coastal nonindigenous species were identified in the PICES countries, with four phyla (Arthropoda, Chordata, Mollusca, and Annelida) constituting more than 70% of these invaders. The NEP and Hawaii have similar numbers of reported nonindigenous species, 368 and 347, respectively. In comparison, the NWP has about 60% of the number of reported NIS, 208. The NCIP contains only 73 NIS, though there is limited information for these ecoregions. When evaluated at an individual MEOW ecoregion scale, the Hawaii Ecoregion was the most invaded with 347 invaders, followed by the Northern California Ecoregion, which includes the San Francisco Estuary, with 287 NIS. The most invaded ecoregion in the NWP was the Central Kuroshio Current Ecoregion, which includes Tokyo Bay, with 87 reported NIS. Eight potential reasons for this geographical discrepancy in the extent of invasion were considered. The two most important appear to be: 1) the milder temperature regimes in the NEP and Hawaii are more conducive for NWP species to invade the NEP and Hawaii than the reverse and 2) there has been a greater search effort for NIS in Hawaii and the NEP at least for certain taxonomic groups.

\n

In terms of how the NIS were transported, hull fouling was potentially the most important vector in the NEP, NWP, and Hawaii, with ballast water discharges the second most important in all three regions. Intentional stocking and aquaculture escapees were relatively more important in the NWP than the NEP or Hawaii, reflecting the extensive aquaculture in Asia. Aquaculture associated species (i.e., aquaculture hitchhikers) was relatively important in the NEP, reflecting the historical influx of invaders with the importation of Atlantic and Pacific oysters. 

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Biotelemetry has been defined as “the instrumental technique for gaining and transmitting information from a living organism and its environment to a remote observer” (Slater 1965). Biotelemetry typically utilizes wireless transmission of either an audible signal or electronic data to determine location of a tagged animal. Fisheries researchers use location information to gain a variety of insights into migration, habitat use, behavior, productivity, or survival of fish. Biotelemetry can be divided into two basic categories, acoustic or radio, based on mode of transmission, mechanical or electromagnetic energy, and operating frequency. Most acoustic systems in use today transmit at low frequency, between 30 and 300 kHz, while most radio systems transmit at very high frequency, between 30 and 300 MHz (Sisak and Lotimer 1998).

Acoustic telemetry is based on the principals of sonar (sound navigation and ranging), which was developed to detect submarines during World War I. The properties of acoustic systems favor their use in deep waters with high conductivity and low turbulence (Winter 1996). Radio telemetry is based on the principals of wireless radio communication, which were first demonstrated by Nikola Tesla in 1893. Radio systems are best suited in shallow waters with relatively low conductivity but have the added benefit of improved signal detection in turbulent conditions and with aerial antennas. Advances in both technologies have resulted in highly efficient transmitter and receiving systems.

Advancements in products used for animal telemetry over the past 50 years have generally followed those in the electronics field (Figure 1). Bell Laboratories1 ushered in the age of digital electronics with the invention of the transistor in 1947 (Mann 2000). Today transistors are common in everyday items such as radios, televisions, hearing aids, computers, cell phones and even MP3 players. Consumer demand for inexpensive small electronic devices with increased functionality has continually driven advancements in the field of electronics. These advancements have subsequently led to improvements in biotelemetry transmitters and receivers such as miniaturization of components, increased battery performance, and more powerful micro-processing.

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elemetry provides a powerful and flexible tool for studying aquatic animals, making it possible to repeatedly locate and identify individuals in remote or inaccessible settings—a task that would be difficult (if not impossible) to accomplish using other methods. The use of telemetry has increased dramatically in recent years, and its application is limited only by the capabilities of the equipment and the researcher’s imagination. In spite of these advantages, telemetry is equipment-intensive and generally requires more specialized knowledge and training than many other field techniques. The electronic equipment associated with its use can often dazzle, intimidate, and confuse those just starting out. Even experienced users are often hard-pressed to keep up with the technological advances. Answers to such basic questions as “what equipment do I need?” or “how do I get started?” are not always evident or straightforward. These are valid concerns, since the equipment and methods used can affect the success of the study and the quality of information collected.

The purpose of this book is to provide a guide for using telemetry to study aquatic animals—call it a user’s manual or Telemetry 101. Our principal intent is to provide the basic information to plan, implement, and conduct telemetry studies under field conditions. Considerations related to data collection and interpretations are also discussed. As with any scientific procedure, collecting usable information and accurately interpreting study results depends on an understanding of the underlying principles of the methods used. A wide range of telemetry equipment and field techniques are available. Clearly defined research objectives and knowledge of the various options, capabilities, and limitations of the equipment and methods is essential for developing projects that effectively address the research or management questions being asked. Telemetry is a tool, and like any tool it will only function effectively when used properly.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.47886/9781934874264.ch1","usgsCitation":"2012, Introduction, chap. 1 of Telemetry techniques: A user guide for fisheries research, https://doi.org/10.47886/9781934874264.ch1.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036198","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fcffd0e4b0a6037df2c593","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625670,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625671,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625672,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70040982,"text":"70040982 - 2012 - Preface","interactions":[],"lastModifiedDate":"2016-03-30T15:03:48","indexId":"70040982","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Preface","docAbstract":"

Telemetry provides a powerful and flexible tool for studying fish and other aquatic animals, and its use has become increasingly commonplace. However, telemetry is gear intensive and typically requires more specialized knowledge and training than many other field techniques. As with other scientific methods, collecting good data is dependent on an understanding of the underlying principles behind the approach, knowing how to use the equipment and techniques properly, and recognizing what to do with the data collected. This book provides a road map for using telemetry to study aquatic animals, and provides the basic information needed to plan, implement, and conduct a telemetry study under field conditions. Topics include acoustic or radio telemetry study design, tag implantation techniques, radio and acoustic telemetry principles and case studies, and data management and analysis.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","isbn":"978-1-934874-26-4","usgsCitation":"Beeman, J.W., 2012, Preface, chap. of Telemetry techniques: A user guide for fisheries research.","numberOfPages":"518","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036787","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319651,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55068c/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fd020ce4b0a6037df2ca06","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625678,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625679,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625680,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70155367,"text":"70155367 - 2012 - Assessing the impacts of river regulation on native bull trout (Salvelinus confluentus) and westslope cutthroat trout (Oncorhynchus clarkii lewisi) habitats in the upper Flathead River, Montana, USA","interactions":[],"lastModifiedDate":"2015-08-18T11:26:32","indexId":"70155367","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impacts of river regulation on native bull trout (Salvelinus confluentus) and westslope cutthroat trout (Oncorhynchus clarkii lewisi) habitats in the upper Flathead River, Montana, USA","docAbstract":"

Hungry Horse Dam on the South Fork Flathead River, Montana, USA, has modified the natural flow regimen for power generation, flood risk management and flow augmentation for anadromous fish recovery in the Columbia River. Concern over the detrimental effects of dam operations on native resident fishes prompted research to quantify the impacts of alternative flow management strategies on threatened bull trout (Salvelinus confluentus) and westslope cutthroat trout (Oncorhynchus clarkii lewisi) habitats. Seasonal and life‐stage specific habitat suitability criteria were combined with a two‐dimensional hydrodynamic habitat model to assess discharge effects on usable habitats. Telemetry data used to construct seasonal habitat suitability curves revealed that subadult (fish that emigrated from natal streams to the river system) bull trout move to shallow, low‐velocity shoreline areas at night, which are most sensitive to flow fluctuations. Habitat time series analyses comparing the natural flow regimen (predam, 1929–1952) with five postdam flow management strategies (1953–2008) show that the natural flow conditions optimize the critical bull trout habitats and that the current strategy best resembles the natural flow conditions of all postdam periods. Late summer flow augmentation for anadromous fish recovery, however, produces higher discharges than predam conditions, which reduces the availability of usable habitat during this critical growing season. Our results suggest that past flow management policies that created sporadic streamflow fluctuations were likely detrimental to resident salmonids and that natural flow management strategies will likely improve the chances of protecting key ecosystem processes and help to maintain and restore threatened bull trout and westslope cutthroat trout populations in the upper Columbia River Basin.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.1494","usgsCitation":"Muhlfeld, C.C., Jones, L.A., Kotter, D., Miller, W.J., Geise, D., Tohtz, J., and Marotz, B., 2012, Assessing the impacts of river regulation on native bull trout (Salvelinus confluentus) and westslope cutthroat trout (Oncorhynchus clarkii lewisi) habitats in the upper Flathead River, Montana, USA: River Research and Applications, v. 28, no. 7, p. 940-959, https://doi.org/10.1002/rra.1494.","productDescription":"10 p.","startPage":"940","endPage":"959","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020089","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.2962646484375,\n 48.06890293081563\n ],\n [\n -114.2962646484375,\n 48.47565256743914\n ],\n [\n -114.005126953125,\n 48.47565256743914\n ],\n [\n -114.005126953125,\n 48.06890293081563\n ],\n [\n -114.2962646484375,\n 48.06890293081563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-03-03","publicationStatus":"PW","scienceBaseUri":"55d4572ce4b0518e354694a7","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kotter, D.","contributorId":146607,"corporation":false,"usgs":false,"family":"Kotter","given":"D.","email":"","affiliations":[],"preferred":false,"id":568418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, William J.","contributorId":145886,"corporation":false,"usgs":false,"family":"Miller","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":16282,"text":"Miller Ecological Consultants","active":true,"usgs":false}],"preferred":false,"id":565568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geise, Doran","contributorId":145883,"corporation":false,"usgs":false,"family":"Geise","given":"Doran","email":"","affiliations":[{"id":16280,"text":"Spatial Sciences & Imaging","active":true,"usgs":false}],"preferred":false,"id":565565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tohtz, Joel","contributorId":145884,"corporation":false,"usgs":false,"family":"Tohtz","given":"Joel","email":"","affiliations":[{"id":16269,"text":"Montana Fish, Wildlife & Parks, Kalispell, Montana 59901 USA","active":true,"usgs":false}],"preferred":false,"id":565566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marotz, Brian","contributorId":145860,"corporation":false,"usgs":false,"family":"Marotz","given":"Brian","email":"","affiliations":[{"id":16269,"text":"Montana Fish, Wildlife & Parks, Kalispell, Montana 59901 USA","active":true,"usgs":false}],"preferred":false,"id":565564,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193555,"text":"70193555 - 2012 - Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA","interactions":[],"lastModifiedDate":"2017-11-02T15:05:39","indexId":"70193555","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA","docAbstract":"

Multi-temporal ALOS/PALSAR images are used to automatically investigate landslide activity over an area of ~ 200 km by ~ 350 km in northern California and southern Oregon. Interferometric synthetic aperture radar (InSAR) deformation images, InSAR coherence maps, SAR backscattering intensity images, and a DEM gradient map are combined to detect active landslides by setting individual thresholds. More than 50 active landslides covering a total of about 40 km2 area are detected. Then the short baseline subsets (SBAS) InSAR method is applied to retrieve time-series deformation patterns of individual detected landslides. Down-slope landslide motions observed from adjacent satellite tracks with slightly different radar look angles are used to verify InSAR results and measurement accuracy. Comparison of the landslide motion with the precipitation record suggests that the landslide deformation correlates with the rainfall rate, with a lag time of around 1–2 months between the precipitation peak and the maximum landslide displacement. The results will provide new insights into landslide mechanisms in the Pacific Northwest, and facilitate development of early warning systems for landslides under abnormal rainfall conditions. Additionally, this method will allow identification of active landslides in broad areas of the Pacific Northwest in an efficient and systematic manner, including remote and heavily vegetated areas difficult to inventory by traditional methods.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2012.05.025","usgsCitation":"Zhao, C., Lu, Z., Zhang, Q., and de la Fuente, J., 2012, Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA: Remote Sensing of Environment, v. 124, p. 348-359, https://doi.org/10.1016/j.rse.2012.05.025.","productDescription":"12 p.","startPage":"348","endPage":"359","ipdsId":"IP-036653","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","volume":"124","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b28008","contributors":{"authors":[{"text":"Zhao, Chaoying","contributorId":199523,"corporation":false,"usgs":false,"family":"Zhao","given":"Chaoying","email":"","affiliations":[],"preferred":false,"id":719352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":719351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Qin","contributorId":156237,"corporation":false,"usgs":false,"family":"Zhang","given":"Qin","email":"","affiliations":[{"id":20301,"text":"SMU","active":true,"usgs":false}],"preferred":false,"id":719354,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"de la Fuente, Juan","contributorId":199524,"corporation":false,"usgs":false,"family":"de la Fuente","given":"Juan","email":"","affiliations":[],"preferred":false,"id":719353,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70192479,"text":"70192479 - 2012 - Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models","interactions":[],"lastModifiedDate":"2017-10-26T14:53:40","indexId":"70192479","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2303,"text":"Journal of Geodesy","active":true,"publicationSubtype":{"id":10}},"title":"Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models","docAbstract":"

Recent studies have documented that global positioning system (GPS) time series of position estimates have temporal correlations which have been modeled as a combination of power-law and white noise processes. When estimating quantities such as a constant rate from GPS time series data, the estimated uncertainties on these quantities are more realistic when using a noise model that includes temporal correlations than simply assuming temporally uncorrelated noise. However, the choice of the specific representation of correlated noise can affect the estimate of uncertainty. For many GPS time series, the background noise can be represented by either: (1) a sum of flicker and random-walk noise or, (2) as a power-law noise model that represents an average of the flicker and random-walk noise. For instance, if the underlying noise model is a combination of flicker and random-walk noise, then incorrectly choosing the power-law model could underestimate the rate uncertainty by a factor of two. Distinguishing between the two alternate noise models is difficult since the flicker component can dominate the assessment of the noise properties because it is spread over a significant portion of the measurable frequency band. But, although not necessarily detectable, the random-walk component can be a major constituent of the estimated rate uncertainty. None the less, it is possible to determine the upper bound on the random-walk noise.

","language":"English","publisher":"Springer","doi":"10.1007/s00190-012-0556-5","usgsCitation":"Langbein, J.O., 2012, Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models: Journal of Geodesy, v. 86, no. 9, p. 775-783, https://doi.org/10.1007/s00190-012-0556-5.","productDescription":"9 p.","startPage":"775","endPage":"783","ipdsId":"IP-034632","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00190-012-0556-5","text":"Publisher Index Page"},{"id":347500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-11","publicationStatus":"PW","scienceBaseUri":"5a07f115e4b09af898c8cda9","contributors":{"authors":[{"text":"Langbein, John O. 0000-0002-7821-8101 langbein@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":3293,"corporation":false,"usgs":true,"family":"Langbein","given":"John","email":"langbein@usgs.gov","middleInitial":"O.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716047,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039766,"text":"ds702 - 2012 - Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"ds702","displayToPublicDate":"2012-08-31T08:00:00","publicationYear":"2012","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":"702","title":"Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel, California","docAbstract":"In 2010 and 2011, scientists from the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), acquired bathymetry and acoustic-backscatter data from the outer shelf region of the eastern Santa Barbara Channel, California. These surveys were conducted in cooperation with the Bureau of Ocean Energy Management (BOEM). BOEM is interested in maps of hard-bottom substrates, particularly natural outcrops that support reef communities in areas near oil and gas extraction activity. The surveys were conducted using the USGS R/V Parke Snavely, outfitted with an interferometric sidescan sonar for swath mapping and real-time kinematic navigation equipment. This report provides the bathymetry and backscatter data acquired during these surveys in several formats, a summary of the mapping mission, maps of bathymetry and backscatter, and Federal Geographic Data Committee (FGDC) metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds702","collaboration":"In cooperation with the Bureau of Ocean Energy Management","usgsCitation":"Dartnell, P., Finlayson, D.P., Ritchie, A.C., Cochrane, G.R., and Erdey, M.D., 2012, Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel, California: U.S. Geological Survey Data Series 702, ii, 6 p.; GIS Data, https://doi.org/10.3133/ds702.","productDescription":"ii, 6 p.; GIS Data","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":260036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_702.gif"},{"id":260032,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/702/","linkFileType":{"id":5,"text":"html"}},{"id":260033,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/702/ds702_report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","city":"Carpinteria;Santa Barbara;Ventura","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.5,34 ], [ -120.5,34.5 ], [ -119.16666666666667,34.5 ], [ -119.16666666666667,34 ], [ -120.5,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f015e4b0c8380cd4a5b6","contributors":{"authors":[{"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":466897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":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":466898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039765,"text":"sir20125128 - 2012 - Surface-water salinity in the Gunnison River Basin, Colorado, water years 1989 through 2007","interactions":[],"lastModifiedDate":"2012-09-01T01:01:51","indexId":"sir20125128","displayToPublicDate":"2012-08-31T00:00:00","publicationYear":"2012","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":"2012-5128","title":"Surface-water salinity in the Gunnison River Basin, Colorado, water years 1989 through 2007","docAbstract":"Elevated levels of dissolved solids in water (salinity) can result in numerous and costly issues for agricultural, industrial, and municipal water users. The Colorado River Basin Salinity Control Act of 1974 (Public Law 93-320) authorized planning and construction of salinity-control projects in the Colorado River Basin. One of the first projects was the Lower Gunnison Unit, a project to mitigate salinity in the Lower Gunnison and Uncompahgre River Basins. In cooperation with the Bureau of Reclamation (USBR), the U.S. Geological Survey conducted a study to quantify changes in salinity in the Gunnison River Basin. Trends in salinity concentration and load during the period water years (WY) 1989 through 2004 (1989-2004) were determined for 15 selected streamflow-gaging stations in the Gunnison River Basin. Additionally, trends in salinity concentration and load during the period WY1989 through 2007 (1989-2007) were determined for 5 of the 15 sites for which sufficient data were available. Trend results also were used to identify regions in the Lower Gunnison River Basin (downstream from the Gunnison Tunnel) where the largest changes in salinity loads occur. Additional sources of salinity, including residential development (urbanization), changes in land cover, and natural sources, were estimated within the context of the trend results. The trend results and salinity loads estimated from trends testing also were compared to USBR and Natural Resources Conservation Service (NRCS) estimates of off-farm and on-farm salinity reduction from salinity-control projects in the basin. Finally, salinity from six additional sites in basins that are not affected by irrigated agriculture or urbanization was monitored from WY 2008 to 2010 to quantify what portion of salinity may be from nonagricultural or natural sources. In the Upper Gunnison area, which refers to Gunnison River Basin above the site located on the Gunnison River below the Gunnison Tunnel, estimated mean annual salinity load was 110,000 tons during WY 1989-2004. Analysis of both study periods (WY 1989-2004 and WY 1989-2007) showed an initial decrease in salinity load with a minimum in 1997. The net change over either study period was only significant during WY 1989-2007. Salinity load significantly decreased at the Gunnison River near Delta by 179,000 tons during WY 1989-2004. Just downstream, the Uncompahgre River enters the Gunnison River where there also was a highly significant decrease in salinity load of 55,500 tons. The site that is located at the mouth of the study area is the Gunnison River near Grand Junction where the decrease was the largest. Salinity loads decreased by 247,000 tons during WY 1989-2004 at this site though the decrease attenuated by 2007 and the net change was a decrease of 207,000 tons. The trend results presented in this study indicate that the effect of urbanization on salinity loads is difficult to discern from the effects of irrigated agriculture and that natural sources contribute a fraction of the total salinity load for the entire basin. Based on the calculated yields and geology, 23-63 percent of the estimated annual salinity load was from natural sources at the Gunnison River near Grand Junction during WY 1989-2007. The largest changes in salinity load occurred at the Gunnison River near Grand Junction as well as the two sites located in Delta: the Gunnison River at Delta and the Uncompahgre River at Delta. Those three sites, especially the two sites at Delta, were the most affected by irrigated agriculture, which was observed in the estimated mean annual loads. Irrigated acreage, especially acreage underlain by Mancos Shale, is the target of salinity-control projects intended to decrease salinity loads. The NRCS and the USBR have done the majority of salinity control work in the Lower Gunnison area of the Gunnison River Basin, and the focus has been in the Uncompahgre River Basin and in portions of the Lower Gunnison River Basin (downstream from the Gunnison Tunnel). According to the estimates from the USBR and NRCS, salinity-control projects may be responsible for a reduction of 117,300 tons of salinity as of 2004 and 142,000 tons as of 2007 at the Gunnison River near Grand Junction, Colo. (streamflow-gaging station 09152500). USBR and NRCS estimates account for all but 130,000 tons in 2004 and 65,000 tons in 2007 of salinity load reduction. The additional reduction could be a reduction in natural salt loading to the streams because of land-cover changes during the study period. It is possible also that the USBR and NRCS have underestimated changes in salinity loads as a result of the implementation of salinity-control projects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125128","usgsCitation":"Schaffrath, K.R., 2012, Surface-water salinity in the Gunnison River Basin, Colorado, water years 1989 through 2007: U.S. Geological Survey Scientific Investigations Report 2012-5128, vi, 47 p., https://doi.org/10.3133/sir20125128.","productDescription":"vi, 47 p.","numberOfPages":"57","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":260035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012-5128.gif"},{"id":260030,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5128/","linkFileType":{"id":5,"text":"html"}},{"id":260031,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5128/SIR12-5128.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"2000000","datum":"North American Datum 1983","country":"United States","state":"Colorado","otherGeospatial":"Gunnison River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.5,37.5 ], [ -109.5,39.5 ], [ -106.5,39.5 ], [ -106.5,37.5 ], [ -109.5,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba19fe4b08c986b31f1dc","contributors":{"authors":[{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039773,"text":"70039773 - 2012 - Combining satellite-based fire observations and ground-based lightning detections to identify lightning fires across the conterminous USA","interactions":[],"lastModifiedDate":"2012-12-18T14:50:17","indexId":"70039773","displayToPublicDate":"2012-08-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Combining satellite-based fire observations and ground-based lightning detections to identify lightning fires across the conterminous USA","docAbstract":"Lightning fires are a common natural disturbance in North America, and account for the largest proportion of the area burned by wildfires each year. Yet, the spatiotemporal patterns of lightning fires in the conterminous US are not well understood due to limitations of existing fire databases. Our goal here was to develop and test an algorithm that combined MODIS fire detections with lightning detections from the National Lightning Detection Network to identify lightning fires across the conterminous US from 2000 to 2008. The algorithm searches for spatiotemporal conjunctions of MODIS fire clusters and NLDN detected lightning strikes, given a spatiotemporal lag between lightning strike and fire ignition. The algorithm revealed distinctive spatial patterns of lightning fires in the conterminous US While a sensitivity analysis revealed that the algorithm is highly sensitive to the two thresholds that are used to determine conjunction, the density of fires it detected was moderately correlated with ground based fire records. When only fires larger than 0.4 km2 were considered, correlations were higher and the root-mean-square error between datasets was less than five fires per 625 km2 for the entire study period. Our algorithm is thus suitable for detecting broad scale spatial patterns of lightning fire occurrence, and especially lightning fire hotspots, but has limited detection capability of smaller fires because these cannot be consistently detected by MODIS. These results may enhance our understanding of large scale patterns of lightning fire activity, and can be used to identify the broad scale factors controlling fire occurrence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2012.2193665","usgsCitation":"Bar-Massada, A., Hawbaker, T., Stewart, S.I., and Radeloff, V.C., 2012, Combining satellite-based fire observations and ground-based lightning detections to identify lightning fires across the conterminous USA: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 5, no. 5, p. 1438-1447, https://doi.org/10.1109/JSTARS.2012.2193665.","productDescription":"10 p.","startPage":"1438","endPage":"1447","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":260044,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2012.2193665","linkFileType":{"id":5,"text":"html"}},{"id":260045,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"5","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7e1e4b0c8380cd4cd4d","contributors":{"authors":[{"text":"Bar-Massada, A.","contributorId":7524,"corporation":false,"usgs":true,"family":"Bar-Massada","given":"A.","affiliations":[],"preferred":false,"id":466910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, T. J.","contributorId":98118,"corporation":false,"usgs":true,"family":"Hawbaker","given":"T. J.","affiliations":[],"preferred":false,"id":466912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, S. I.","contributorId":99779,"corporation":false,"usgs":false,"family":"Stewart","given":"S.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":466913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Radeloff, V. C.","contributorId":58467,"corporation":false,"usgs":false,"family":"Radeloff","given":"V.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70039734,"text":"70039734 - 2012 - Survival, growth and reproduction of non-native Nile tilapia II: Fundamental niche projections and invasion potential in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2022-02-04T15:09:37.905035","indexId":"70039734","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Survival, growth and reproduction of non-native Nile tilapia II: Fundamental niche projections and invasion potential in the northern Gulf of Mexico","docAbstract":"Understanding the fundamental niche of invasive species facilitates our ability to predict both dispersal patterns and invasion success and therefore provides the basis for better-informed conservation and management policies. Here we focus on Nile tilapia (Oreochromis niloticus Linnaeus, 1758), one of the most widely cultured fish worldwide and a species that has escaped local aquaculture facilities to become established in a coastal-draining river in Mississippi (northern Gulf of Mexico). Using empirical physiological data, logistic regression models were developed to predict the probabilities of Nile tilapia survival, growth, and reproduction at different combinations of temperature (14 and 30°C) and salinity (0–60, by increments of 10). These predictive models were combined with kriged seasonal salinity data derived from multiple long-term data sets to project the species' fundamental niche in Mississippi coastal waters during normal salinity years (averaged across all years) and salinity patterns in extremely wet and dry years (which might emerge more frequently under scenarios of climate change). The derived fundamental niche projections showed that during the summer, Nile tilapia is capable of surviving throughout Mississippi's coastal waters but growth and reproduction were limited to river mouths (or upriver). Overwinter survival was also limited to river mouths. The areas where Nile tilapia could survive, grow, and reproduce increased during extremely wet years (2–368%) and decreased during extremely dry years (86–92%) in the summer with a similar pattern holding for overwinter survival. These results indicate that Nile tilapia is capable of 1) using saline waters to gain access to other watersheds throughout the region and 2) establishing populations in nearshore, low-salinity waters, particularly in the western portion of coastal Mississippi.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0041580","usgsCitation":"Lowe, M.R., Wu, W., Peterson, M.S., Brown-Peterson, N.J., Slack, W.T., and Schofield, P., 2012, Survival, growth and reproduction of non-native Nile tilapia II: Fundamental niche projections and invasion potential in the northern Gulf of Mexico: PLoS ONE, v. 7, no. 7, e41580, 10 p., https://doi.org/10.1371/journal.pone.0041580.","productDescription":"e41580, 10 p.","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474374,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0041580","text":"Publisher Index Page"},{"id":260000,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.8516845703125,\n 30.021543509740027\n ],\n [\n -87.484130859375,\n 30.021543509740027\n ],\n [\n -87.484130859375,\n 30.755998458321667\n ],\n [\n -89.8516845703125,\n 30.755998458321667\n ],\n [\n -89.8516845703125,\n 30.021543509740027\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-07-27","publicationStatus":"PW","scienceBaseUri":"53cd7619e4b0b2908510aaf2","contributors":{"authors":[{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":466846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Wei","contributorId":15061,"corporation":false,"usgs":true,"family":"Wu","given":"Wei","email":"","affiliations":[],"preferred":false,"id":466847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Mark S.","contributorId":8979,"corporation":false,"usgs":true,"family":"Peterson","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown-Peterson, Nancy J.","contributorId":53937,"corporation":false,"usgs":true,"family":"Brown-Peterson","given":"Nancy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slack, William T.","contributorId":47512,"corporation":false,"usgs":true,"family":"Slack","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":466848,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70039717,"text":"70039717 - 2012 - Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039717","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA","docAbstract":"Stratigraphic analyses and radiocarbon geochronology of alluvial deposits exposed along the Roaring River, Colorado, lead to three principal conclusions: (1) the opinion that stream channels in the higher parts of the Front Range are relics of the Pleistocene and nonalluvial under the present climate, as argued in a water-rights trial USA v. Colorado, is untenable, (2) beds of clast-supported gravel alternate in vertical succession with beds of fine-grained sediment (sand, mud, and peat) in response to centennial-scale changes in snowmelt-driven peak discharges, and (3) alluvial strata provide information about Holocene climate history that complements the history provided by cirque moraines, periglacial deposits, and paleontological data. Most alluvial strata are of late Holocene age and record, among other things, that: (1) the largest peak flows since the end of the Pleistocene occurred during the late Holocene; (2) the occurrence of a mid- to late Holocene interval (~2450–1630(?) cal yr BP) of warmer climate, which is not clearly identified in palynological records; and (3) the Little Ice Age climate seems to have had little impact on stream channels, except perhaps for minor (~1 m) incision. Published","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.yqres.2012.05.005","usgsCitation":"Madole, R.F., 2012, Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA: Quaternary Research, v. 78, no. 2, p. 197-208, https://doi.org/10.1016/j.yqres.2012.05.005.","productDescription":"12 p.","startPage":"197","endPage":"208","numberOfPages":"11","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":259999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259987,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2012.05.005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Front Range;Roaring River Valley","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-03","publicationStatus":"PW","scienceBaseUri":"505a31d2e4b0c8380cd5e25b","contributors":{"authors":[{"text":"Madole, Richard F. 0000-0002-9081-570X madole@usgs.gov","orcid":"https://orcid.org/0000-0002-9081-570X","contributorId":1340,"corporation":false,"usgs":true,"family":"Madole","given":"Richard","email":"madole@usgs.gov","middleInitial":"F.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039735,"text":"70039735 - 2012 - Organic carbon burial rates in mangrove sediments: strengthening the global budget","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039735","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Organic carbon burial rates in mangrove sediments: strengthening the global budget","docAbstract":"Mangrove wetlands exist in the transition zone between terrestrial and marine environments and as such were historically overlooked in discussions of terrestrial and marine carbon cycling. In recent decades, mangroves have increasingly been credited with producing and burying large quantities of organic carbon (OC). The amount of available data regarding OC burial in mangrove soils has more than doubled since the last primary literature review (2003). This includes data from some of the largest, most developed mangrove forests in the world, providing an opportunity to strengthen the global estimate. First-time representation is now included for mangroves in Brazil, Colombia, Malaysia, Indonesia, China, Japan, Vietnam, and Thailand, along with additional data from Mexico and the United States. Our objective is to recalculate the centennial-scale burial rate of OC at both the local and global scales. Quantification of this rate enables better understanding of the current carbon sink capacity of mangroves as well as helps to quantify and/or validate the other aspects of the mangrove carbon budget such as import, export, and remineralization. Statistical analysis of the data supports use of the geometric mean as the most reliable central tendency measurement. Our estimate is that mangrove systems bury 163 (+40; -31) g OC m-2 yr-1 (95% C.I.). Globally, the 95% confidence interval for the annual burial rate is 26.1 (+6.3; -5.1) Tg OC. This equates to a burial fraction that is 42% larger than that of the most recent mangrove carbon budget (2008), and represents 10–15% of estimated annual mangrove production. This global rate supports previous conclusions that, on a centennial time scale, 8–15% of all OC burial in marine settings occurs in mangrove systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GB004375","usgsCitation":"Breithaupt, J., Smoak, J.M., Smith, T.J., Sanders, C.J., and Hoare, A., 2012, Organic carbon burial rates in mangrove sediments: strengthening the global budget: Global Biogeochemical Cycles, v. 26, 11 p.; GB3011, https://doi.org/10.1029/2012GB004375.","productDescription":"11 p.; GB3011","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474375,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gb004375","text":"Publisher Index Page"},{"id":260001,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259989,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GB004375","linkFileType":{"id":5,"text":"html"}}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2012-08-04","publicationStatus":"PW","scienceBaseUri":"505a6f92e4b0c8380cd75b75","contributors":{"authors":[{"text":"Breithaupt, J.","contributorId":56905,"corporation":false,"usgs":true,"family":"Breithaupt","given":"J.","email":"","affiliations":[],"preferred":false,"id":466854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoak, Joseph M.","contributorId":32392,"corporation":false,"usgs":true,"family":"Smoak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":466851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, Christian J.","contributorId":90584,"corporation":false,"usgs":true,"family":"Sanders","given":"Christian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoare, Armando","contributorId":44029,"corporation":false,"usgs":true,"family":"Hoare","given":"Armando","email":"","affiliations":[],"preferred":false,"id":466853,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039752,"text":"ofr20121188 - 2012 - Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"ofr20121188","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","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":"2012-1188","title":"Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico","docAbstract":"In May and June 2012, the Whitewater-Baldy Fire burned approximately 1,200 square kilometers (300,000 acres) of the Gila National Forest, in southwestern New Mexico. The burned landscape is now at risk of damage from postwildfire erosion, such as that caused by debris flows and flash floods. This report presents a preliminary hazard assessment of the debris-flow potential from 128 basins burned by the Whitewater-Baldy Fire. A pair of empirical hazard-assessment models developed by using data from recently burned basins throughout the intermountain Western United States was used to estimate the probability of debris-flow occurrence and volume of debris flows along the burned area drainage network and for selected drainage basins within the burned area. The models incorporate measures of areal burned extent and severity, topography, soils, and storm rainfall intensity to estimate the probability and volume of debris flows following the fire. In response to the 2-year-recurrence, 30-minute-duration rainfall, modeling indicated that four basins have high probabilities of debris-flow occurrence (greater than or equal to 80 percent). For the 10-year-recurrence, 30-minute-duration rainfall, an additional 14 basins are included, and for the 25-year-recurrence, 30-minute-duration rainfall, an additional eight basins, 20 percent of the total, have high probabilities of debris-flow occurrence. In addition, probability analysis along the stream segments can identify specific reaches of greatest concern for debris flows within a basin. Basins with a high probability of debris-flow occurrence were concentrated in the west and central parts of the burned area, including tributaries to Whitewater Creek, Mineral Creek, and Willow Creek. Estimated debris-flow volumes ranged from about 3,000-4,000 cubic meters (m3) to greater than 500,000 m3 for all design storms modeled. Drainage basins with estimated volumes greater than 500,000 m3 included tributaries to Whitewater Creek, Willow Creek, Iron Creek, and West Fork Mogollon Creek. Drainage basins with estimated debris-flow volumes greater than 100,000 m3 for the 25-year-recurrence event, 24 percent of the basins modeled, also include tributaries to Deep Creek, Mineral Creek, Gilita Creek, West Fork Gila River, Mogollon Creek, and Turkey Creek, among others. Basins with the highest combined probability and volume relative hazard rankings for the 25-year-recurrence rainfall include tributaries to Whitewater Creek, Mineral Creek, Willow Creek, West Fork Gila River, West Fork Mogollon Creek, and Turkey Creek. Debris flows from Whitewater, Mineral, and Willow Creeks could affect the southwestern New Mexico communities of Glenwood, Alma, and Willow Creek. The maps presented herein may be used to prioritize areas where emergency erosion mitigation or other protective measures may be necessary within a 2- to 3-year period of vulnerability following the Whitewater-Baldy Fire. This work is preliminary and is subject to revision. It is being provided because of the need for timely \"best science\" information. The assessment herein is provided on the condition that neither the U.S. Geological Survey nor the U.S. Government may be held liable for any damages resulting from the authorized or unauthorized use of the assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121188","collaboration":"Prepared in cooperation with U.S. Department of Agriculture Forest Service, Gila National Forest","usgsCitation":"Tillery, A.C., Matherne, A.M., and Verdin, K.L., 2012, Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico: U.S. Geological Survey Open-File Report 2012-1188, Report: iv, 11 p.; Plate 1: 32.92 inches x 21.34 inches, Plate 2: 32.89 inches x 21.31 inches, Plate 3: 32.89 inches x 21.31 inches, https://doi.org/10.3133/ofr20121188.","productDescription":"Report: iv, 11 p.; Plate 1: 32.92 inches x 21.34 inches, Plate 2: 32.89 inches x 21.31 inches, Plate 3: 32.89 inches x 21.31 inches","onlineOnly":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":259977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1188.gif"},{"id":259975,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259972,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1188/","linkFileType":{"id":5,"text":"html"}},{"id":259973,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259974,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259971,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator coordinate system Zone 12 North","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","county":"Catron;Grant","otherGeospatial":"Gila National Forest;Mogollon Mountains;Whitewater Baldy","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.08333333333333,33.083333333333336 ], [ -109.08333333333333,33.583333333333336 ], [ -108.16666666666667,33.583333333333336 ], [ -108.16666666666667,33.083333333333336 ], [ -109.08333333333333,33.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0a9fe4b0c8380cd523f5","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466874,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039756,"text":"sir20125169 - 2012 - Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"sir20125169","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","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":"2012-5169","title":"Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, analyzed water-quality data collected from 67 aquifer wells and 7 surface-water sites at the Idaho National Laboratory (INL) from 1949 through 2009. The data analyzed included major cations, anions, nutrients, trace elements, and total organic carbon. The analyses were performed to examine water-quality trends that might inform future management decisions about the number of wells to sample at the INL and the type of constituents to monitor. Water-quality trends were determined using (1) the nonparametric Kendall's tau correlation coefficient, p-value, Theil-Sen slope estimator, and summary statistics for uncensored data; and (2) the Kaplan-Meier method for calculating summary statistics, Kendall's tau correlation coefficient, p-value, and Akritas-Theil-Sen slope estimator for robust linear regression for censored data. Statistical analyses for chloride concentrations indicate that groundwater influenced by Big Lost River seepage has decreasing chloride trends or, in some cases, has variable chloride concentration changes that correlate with above-average and below-average periods of recharge. Analyses of trends for chloride in water samples from four sites located along the Big Lost River indicate a decreasing trend or no trend for chloride, and chloride concentrations generally are much lower at these four sites than those in the aquifer. Above-average and below-average periods of recharge also affect concentration trends for sodium, sulfate, nitrate, and a few trace elements in several wells. Analyses of trends for constituents in water from several of the wells that is mostly regionally derived groundwater generally indicate increasing trends for chloride, sodium, sulfate, and nitrate concentrations. These increases are attributed to agricultural or other anthropogenic influences on the aquifer upgradient of the INL. Statistical trends of chemical constituents from several wells near the Naval Reactors Facility may be influenced by wastewater disposal at the facility or by anthropogenic influence from the Little Lost River basin. Groundwater samples from three wells downgradient of the Power Burst Facility area show increasing trends for chloride, nitrate, sodium, and sulfate concentrations. The increases could be caused by wastewater disposal in the Power Burst Facility area. Some groundwater samples in the southwestern part of the INL and southwest of the INL show concentration trends for chloride and sodium that may be influenced by wastewater disposal. Some of the groundwater samples have decreasing trends that could be attributed to the decreasing concentrations in the wastewater from the late 1970s to 2009. The young fraction of groundwater in many of the wells is more than 20 years old, so samples collected in the early 1990s are more representative of groundwater discharged in the 1960s and 1970s, when concentrations in wastewater were much higher. Groundwater sampled in 2009 would be representative of the lower concentrations of chloride and sodium in wastewater discharged in the late 1980s. Analyses of trends for sodium in several groundwater samples from the central and southern part of the eastern Snake River aquifer show increasing trends. In most cases, however, the sodium concentrations are less than background concentrations measured in the aquifer. Many of the wells are open to larger mixed sections of the aquifer, and the increasing trends may indicate that the long history of wastewater disposal in the central part of the INL is increasing sodium concentrations in the groundwater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125169","collaboration":"Prepared in cooperation with the U.S. Department of Energy, DOE/ID-22219","usgsCitation":"Bartholomay, R.C., Davis, L.C., Fisher, J.C., Tucker, B.J., and Raben, F.A., 2012, Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009: U.S. Geological Survey Scientific Investigations Report 2012-5169, Report: vi, 68 p.; Appendices A-E PDF, https://doi.org/10.3133/sir20125169.","productDescription":"Report: vi, 68 p.; Appendices A-E PDF","onlineOnly":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":260004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5169.jpg"},{"id":259993,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259994,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppA.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259995,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppB.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259998,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppE.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259992,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5169/","linkFileType":{"id":5,"text":"html"}},{"id":259996,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppC.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259997,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppD.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 12","datum":"North American Datum of 1927","country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.233333333333334 ], [ -112.25,44.233333333333334 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcdd8e4b08c986b32e102","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Betty J.","contributorId":27885,"corporation":false,"usgs":true,"family":"Tucker","given":"Betty","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raben, Flint A.","contributorId":79345,"corporation":false,"usgs":true,"family":"Raben","given":"Flint","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466880,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039758,"text":"sim3221 - 2012 - Flood-inundation maps for the Saddle River from Rochelle Park to Lodi, New Jersey, 2012","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"sim3221","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3221","title":"Flood-inundation maps for the Saddle River from Rochelle Park to Lodi, New Jersey, 2012","docAbstract":"Digital flood-inundation maps for a 2.75-mile reach of the Saddle River from 0.2 mile upstream from the Interstate 80 bridge in Rochelle Park to 1.5 miles downstream from the U.S. Route 46 bridge in Lodi, New Jersey, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Saddle River at Lodi, New Jersey (station 01391500). Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/nwis/uv?site_no=01391500. The National Weather Service (NWS) forecasts flood hydrographs at many places that are often collocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at the Saddle River at Lodi, New Jersey streamgage and documented high-water marks from recent floods. The hydraulic model was then used to determine 11 water-surface profiles for flood stages at the Saddle River streamgage at 1-ft intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from bankfull, 0.5 ft below NWS Action Stage, to the extent of the stage-discharge rating, which is approximately 1 ft higher than the highest recorded water level at the streamgage. Action Stage is the stage which when reached by a rising stream the NWS or a partner needs to take some type of mitigation action in preparation for possible significant hydrologic activity. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84-ft) digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3221","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Hoppe, H.L., and Watson, K.M., 2012, Flood-inundation maps for the Saddle River from Rochelle Park to Lodi, New Jersey, 2012: U.S. Geological Survey Scientific Investigations Map 3221, Pamphlet: vi, 7 p.; Sheets 1-11: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3221.","productDescription":"Pamphlet: vi, 7 p.; Sheets 1-11: 17 x 22 inches; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":260020,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3221.png"},{"id":260012,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle08ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260013,"rank":406,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle09ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260016,"rank":409,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle14ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260017,"rank":410,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle15ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260007,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle10ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260008,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260009,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle05ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260010,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle06ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260011,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle07ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260014,"rank":407,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle11ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260015,"rank":408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle12ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260005,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle13ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3221/","linkFileType":{"id":5,"text":"html"}}],"scale":"12000","datum":"North American Datum of 1988","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.1,40.86666666666667 ], [ -74.1,40.9 ], [ -74.06666666666666,40.9 ], [ -74.06666666666666,40.86666666666667 ], [ -74.1,40.86666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1167e4b0c8380cd53faa","contributors":{"authors":[{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":466887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}