{"pageNumber":"509","pageRowStart":"12700","pageSize":"25","recordCount":46666,"records":[{"id":70132473,"text":"70132473 - 2014 - Estimates of annual survival, growth, and recruitment of a white-tailed ptarmigan population in Colorado over 43 years","interactions":[],"lastModifiedDate":"2020-12-31T20:36:58.905875","indexId":"70132473","displayToPublicDate":"2014-09-13T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of annual survival, growth, and recruitment of a white-tailed ptarmigan population in Colorado over 43 years","docAbstract":"

Long-term datasets for high-elevation species are rare, and considerable uncertainty exists in understanding how high-elevation populations have responded to recent climate warming. We present estimates of demographic vital rates from a 43-year population study of white-tailed ptarmigan (Lagopus leucura), a species endemic to alpine habitats in western North America. We used capture-recapture models to estimate annual rates of apparent survival, population growth, and recruitment for breeding-age ptarmigan, and we fit winter weather covariates to models in an attempt to explain annual variation. There were no trends in survival over the study period but there was strong support for age and sex effects. The average rate of annual growth suggests a relatively stable breeding-age population (λ¯\">λ¯ = 1.036), but there was considerable variation between years for both population growth and recruitment rates. Winter weather covariates only explained a small amount of variation in female survival and were not an important predictor of male survival. Cumulative winter precipitation was found to have a quadratic effect on female survival, with survival being highest during years of average precipitation. Cumulative winter precipitation was positively correlated with population growth and recruitment rates, although this covariate only explained a small amount of annual variation in these rates and there was considerable uncertainty among the models tested. Our results provide evidence for an alpine-endemic population that has not experienced extirpation or drastic declines. However, more information is needed to understand risks and vulnerabilities of warming effects on juveniles as our analysis was confined to determination of vital rates for breeding-age birds.

","language":"English","publisher":"Society of Population Ecology","publisherLocation":"Tokyo, Japan","usgsCitation":"Wann, G.T., Aldridge, C.L., and Braun, C., 2014, Estimates of annual survival, growth, and recruitment of a white-tailed ptarmigan population in Colorado over 43 years: Population Ecology, v. 56, no. 4, p. 555-567.","productDescription":"13 p.","startPage":"555","endPage":"567","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052229","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":296075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295827,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10144-014-0452-3"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.1162109375,\n 37.00255267215955\n ],\n [\n -101.97509765625,\n 37.00255267215955\n ],\n [\n -101.97509765625,\n 41.02964338716638\n ],\n [\n -109.1162109375,\n 41.02964338716638\n ],\n [\n -109.1162109375,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d632e4b04d4b7dbd65d0","contributors":{"authors":[{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":523251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":523252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braun, Clait E.","contributorId":97169,"corporation":false,"usgs":true,"family":"Braun","given":"Clait E.","affiliations":[],"preferred":false,"id":523253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70104548,"text":"ds850 - 2014 - Sediment data collected in 2012 from the northern Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2014-09-12T16:57:17","indexId":"ds850","displayToPublicDate":"2014-09-12T16:48:00","publicationYear":"2014","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":"850","title":"Sediment data collected in 2012 from the northern Chandeleur Islands, Louisiana","docAbstract":"

As part of the Barrier Island Evolution Research project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center collected sediment samples from the northern Chandeleur Islands in March and September 2012. The overall objective of this project, which integrates geophysical (bathymetric, seismic, and topographic) and sedimentologic data, is to better understand the depositional and erosional processes that drive the morphologic evolution of barrier islands over annual to interannual timescales (1 to 5 years). Between June 2010 and April 2011, in response to the Deepwater Horizon oil spill, the State of Louisiana constructed a sand berm extending more than 14 kilometers along the northern Chandeleur Islands platform. The construction of the berm provided a unique opportunity to investigate how this new sediment source will interact with and affect the morphologic evolution of the barrier-island system. Data collected from this study will be used to describe differences in the physical characteristics and spatial distribution of sediments both along the axis of the berm and also along transects across the berm and onto the adjacent barrier island. Comparison of these data with data from subsequent sampling efforts will provide information about sediment interactions and movement between the berm and the natural island platform, improving our understanding of short-term morphologic change and processes in this barrier-island system.

\n
\n

This data series serves as an archive of sediment data collected in March and September 2012 from the Chandeleur Islands sand berm and adjacent barrier-island environments. Data products include descriptive core logs, core photographs and x-radiographs, results of sediment grain-size analyses, sample location maps, and Geographic Information System data files with accompanying formal Federal Geographic Data Committee metadata.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds850","usgsCitation":"Bernier, J., Kelso, K.W., Buster, N.A., Flocks, J.G., Miselis, J.L., and DeWitt, N.T., 2014, Sediment data collected in 2012 from the northern Chandeleur Islands, Louisiana: U.S. Geological Survey Data Series 850, HTML Document, https://doi.org/10.3133/ds850.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-052880","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491686,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KRKA4","text":"USGS data release","linkHelpText":"Sediment Data From Surface Samples and Sand Augers Collected in 2023 From the Northern Chandeleur Islands, Louisiana"},{"id":293861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds850.GIF"},{"id":293857,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0850/"},{"id":293860,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0850/html/d850_abstract.html"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.95,29.866667 ], [ -88.95,30.033333 ], [ -88.766667,30.033333 ], [ -88.766667,29.866667 ], [ -88.95,29.866667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5413fd25e4b082fed288b8db","contributors":{"authors":[{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493731,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":493732,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70103894,"text":"ds848 - 2014 - Coastal bathymetry data collected in 2011 from the Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2015-07-22T09:47:00","indexId":"ds848","displayToPublicDate":"2014-09-12T16:26:00","publicationYear":"2014","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":"848","title":"Coastal bathymetry data collected in 2011 from the Chandeleur Islands, Louisiana","docAbstract":"

As part of the Barrier Island Evolution Research project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2011. The overall objectives of the study are to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1-5 years). Collection of geophysical data will allow us to identify relationships between the geologic history of the island and its present day morphology and sediment distribution. This mapping effort was the first in a series of three planned surveys in this area. High resolution geophysical data collected in each of three consecutive years along this rapidly changing barrier-island system will provide a unique time-series dataset that will significantly further the analyses and geomorphological interpretations of this and other coastal systems, improving our understanding of coastal response and evolution over short time scales (1-5 years).

\n

This data series includes the bathymetric data that were collected during two cruises (USGS Field Activity Numbers 11BIM01 and 11BIM02) aboard the Research Vessel (R/V) SurveyCat and the R/V TwinVee along the northern portion of the Chandeleur Islands,Breton National Wildlife Refuge, Louisiana. Data were acquired with the following equipment: a Systems Engineering and Assessment, Ltd., SWATHplus interferometric sonar (234 kilohertz), an EdgeTech 424 (4-24 kHz) chirp sub-bottom profiling system, and a Marimatech E-SEA Sound 206 (200 kHz) echosounder.

\n

This report serves as an archive of processed interferometric swath and single-beam bathymetry data. Geographic Iinformation System data products include a 50-meter cell-size interpolated bathymetry grid surface, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds848","usgsCitation":"DeWitt, N.T., Pfeiffer, W.R., Bernier, J., Buster, N.A., Miselis, J.L., Flocks, J.G., Reynolds, B.J., Wiese, D.S., and Kelso, K.W., 2014, Coastal bathymetry data collected in 2011 from the Chandeleur Islands, Louisiana (Version 1.0:originally posted September 12, 2014; Version 2.0: July 21, 2015): U.S. Geological Survey Data Series 848, HTML Document, https://doi.org/10.3133/ds848.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049117","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds848.GIF"},{"id":293856,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0848/"},{"id":293858,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0848/html/ds848_abstract.html","text":"Report","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton National Wildlife Refuge;Chandeleur Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.95,29.8 ], [ -88.95,30.083333 ], [ -88.766667,30.083333 ], [ -88.766667,29.8 ], [ -88.95,29.8 ] ] ] } } ] }","edition":"Version 1.0:originally posted September 12, 2014; Version 2.0: July 21, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5413fd22e4b082fed288b8c5","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":493528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":493525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reynolds, Billy J. 0000-0002-3232-8022 breynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-8022","contributorId":4272,"corporation":false,"usgs":true,"family":"Reynolds","given":"Billy","email":"breynolds@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493523,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493530,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70123850,"text":"ofr20141193 - 2014 - An analysis of the potential for Glen Canyon Dam releases to inundate archaeological sites in the Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2014-09-12T15:46:48","indexId":"ofr20141193","displayToPublicDate":"2014-09-12T15:43:00","publicationYear":"2014","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":"2014-1193","title":"An analysis of the potential for Glen Canyon Dam releases to inundate archaeological sites in the Grand Canyon, Arizona","docAbstract":"The development of a one-dimensional flow-routing model for the Colorado River between Lees Ferry and Diamond Creek, Arizona in 2008 provided a potentially useful tool for assessing the degree to which varying discharges from Glen Canyon Dam may inundate terrestrial environments and potentially affect resources located within the zone of inundation. Using outputs from the model, a geographic information system analysis was completed to evaluate the degree to which flows from Glen Canyon Dam might inundate archaeological sites located along the Colorado River in the Grand Canyon. The analysis indicates that between 4 and 19 sites could be partially inundated by flows released from Glen Canyon Dam under current (2014) operating guidelines, and as many as 82 archaeological sites may have been inundated to varying degrees by uncontrolled high flows released in June 1983. Additionally, the analysis indicates that more of the sites currently (2014) proposed for active management by the National Park Service are located at low elevations and, therefore, tend to be more susceptible to potential inundation effects than sites not currently (2014) targeted for management actions, although the potential for inundation occurs in both groups of sites. Because of several potential sources of error and uncertainty associated with the model and with limitations of the archaeological data used in this analysis, the results are not unequivocal. These caveats, along with the fact that dam-related impacts can involve more than surface-inundation effects, suggest that the results of this analysis should be used with caution to infer potential effects of Glen Canyon Dam on archaeological sites in the Grand Canyon.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141193","usgsCitation":"Sondossi, H.A., and Fairley, H., 2014, An analysis of the potential for Glen Canyon Dam releases to inundate archaeological sites in the Grand Canyon, Arizona: U.S. Geological Survey Open-File Report 2014-1193, iv, 26 p., https://doi.org/10.3133/ofr20141193.","productDescription":"iv, 26 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-021731","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":293855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141193.jpg"},{"id":293853,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1193/"},{"id":293854,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1193/pdf/ofr2014-1193.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.0,35.0 ], [ -115.0,37.0 ], [ -111.0,37.0 ], [ -111.0,35.0 ], [ -115.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5413fd20e4b082fed288b8ba","contributors":{"authors":[{"text":"Sondossi, Hoda A.","contributorId":97594,"corporation":false,"usgs":true,"family":"Sondossi","given":"Hoda","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fairley, Helen C.","contributorId":10506,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen C.","affiliations":[],"preferred":false,"id":500395,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70122730,"text":"fs20143086 - 2014 - The 3D Elevation Program: summary for Illinois","interactions":[],"lastModifiedDate":"2016-08-17T15:24:27","indexId":"fs20143086","displayToPublicDate":"2014-09-12T14:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3086","title":"The 3D Elevation Program: summary for Illinois","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Illinois, elevation data are critical for flood risk management, water supply and quality, infrastructure and construction management, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.

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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5413fd26e4b082fed288b8e7","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":499673,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70099803,"text":"ds835 - 2014 - Archive of single-beam bathymetry data collected from select areas in Weeks Bay and Weeks Bayou, southwest Louisiana, January 2013","interactions":[],"lastModifiedDate":"2025-05-13T17:01:02.517649","indexId":"ds835","displayToPublicDate":"2014-09-11T16:31:00","publicationYear":"2014","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":"835","title":"Archive of single-beam bathymetry data collected from select areas in Weeks Bay and Weeks Bayou, southwest Louisiana, January 2013","docAbstract":"

A team of scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, collected 92 line-kilometers of dual-frequency single-beam bathymetry data in the tidal creeks, bayous, and coastal areas near Weeks Bay, southwest Louisiana. Limited bathymetry data exist for these tidally and meteorologically influenced shallow-water estuarine environments. In order to reduce the present knowledge gap, the objectives of this study were to (1) develop methods for regional inland bathymetry mapping and monitoring, (2) test inland bathymetry mapping system in pilot locations for integrating multiple elevation (aerial and terrestrial lidar) and bathymetry datasets, (3) implement inland bathymetry mapping and monitoring in highly focused sites, and (4) evaluate changes in bathymetry and channel-fill sediment storage using these methods.

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This report contains single-beam bathymetric data collected between January 14 and 18, 2013. Data were collected from the RV Mako (5-meter vessel) in water depths that ranged from <1 meter to 7.7 meters. Locations of data collection ranged from open-bay systems to narrow inland tidal creeks (U.S. Geological Survey Field Activity Number 13CCT01).

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This report serves as an archive of processed bathymetry data. Geographic information system data provided in this document include a 10-meter cell-size interpolated gridded bathymetry surface, and trackline maps. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.

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Do not use these data for navigational purposes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds835","usgsCitation":"DeWitt, N.T., Reich, C.D., Smith, C.G., and Reynolds, B.J., 2014, Archive of single-beam bathymetry data collected from select areas in Weeks Bay and Weeks Bayou, southwest Louisiana, January 2013: U.S. Geological Survey Data Series 835, Report: HTML Document; Downloads Directory, https://doi.org/10.3133/ds835.","productDescription":"Report: HTML Document; Downloads Directory","onlineOnly":"Y","ipdsId":"IP-051955","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293785,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds835.png"},{"id":293782,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0835/"},{"id":293783,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0835/ds835_Abstract.html"},{"id":293784,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0835/ds835_Data_Downloads.html"}],"country":"United States","state":"Louisiana","otherGeospatial":"Weeks Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.00,29.50 ], [ -92.00,30.00 ], [ -91.50,30.00 ], [ -91.50,29.50 ], [ -92.00,29.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab88e4b0239f1986b9ca","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Billy J. 0000-0002-3232-8022 breynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-8022","contributorId":4272,"corporation":false,"usgs":true,"family":"Reynolds","given":"Billy","email":"breynolds@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70124283,"text":"sim3295 - 2014 - Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island","interactions":[],"lastModifiedDate":"2022-09-23T14:48:02.426484","indexId":"sim3295","displayToPublicDate":"2014-09-11T12:46:00","publicationYear":"2014","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":"3295","title":"Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island","docAbstract":"

The bedrock geology of the 7.5-minute Uxbridge quadrangle consists of Neoproterozoic metamorphic and igneous rocks of the Avalon zone. In this area, rocks of the Avalon zone lie within the core of the Milford antiform, south and east of the terrane-bounding Bloody Bluff fault zone. Permian pegmatite dikes and quartz veins occur throughout the quadrangle. The oldest metasedimentary rocks include the Blackstone Group, which represents a Neoproterozoic peri-Gondwanan marginal shelf sequence. The metasedimentary rocks are intruded by Neoproterozoic arc-related plutonic rocks of the Rhode Island batholith.

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This report presents mapping by G.J. Walsh. The complete report consists of a map, text pamphlet, and GIS database. The map and text pamphlet are available only as downloadable files (see frame at right). The GIS database is available for download in ESRI™ shapefile and Google Earth™ formats, and includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, geochemical data, and photographs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3295","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Massachusetts Geological Survey","usgsCitation":"Walsh, G.J., 2014, Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island: U.S. Geological Survey Scientific Investigations Map 3295, Pamphlet: iv, 36 p.; 1 Plate: 54.0 x 36.0 inches; Downloads Directory, https://doi.org/10.3133/sim3295.","productDescription":"Pamphlet: iv, 36 p.; 1 Plate: 54.0 x 36.0 inches; Downloads Directory","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-024090","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":293725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3295.jpg"},{"id":293723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3295/pdf/sim3295_pamphlet.pdf"},{"id":293724,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3295/downloads"},{"id":293721,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3295/"},{"id":293722,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3295/pdf/sim3295_uxbridge-geolmap.pdf"},{"id":398967,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100752.htm"}],"scale":"24000","projection":"Polyconic projection","datum":"North American Datum of 1927","country":"United States","state":"Massachusetts, Rhode Island","county":"Providence County, Worcester County","otherGeospatial":"Uxbridge quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.75,42.0 ], [ -71.75,42.125 ], [ -71.625,42.125 ], [ -71.625,42.0 ], [ -71.75,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab89e4b0239f1986b9ce","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":500647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70104683,"text":"sir20145074 - 2014 - Three-dimensional model of the hydrostratigraphy and structure of the area in and around the U.S. Army-Camp Stanley Storage Activity Area, northern Bexar County, Texas","interactions":[],"lastModifiedDate":"2014-09-11T08:44:46","indexId":"sir20145074","displayToPublicDate":"2014-09-11T08:37:00","publicationYear":"2014","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":"2014-5074","title":"Three-dimensional model of the hydrostratigraphy and structure of the area in and around the U.S. Army-Camp Stanley Storage Activity Area, northern Bexar County, Texas","docAbstract":"A three-dimensional model of the Camp Stanley Storage Activity area defines and illustrates the surface and subsurface hydrostratigraphic architecture of the military base and adjacent areas to the south and west using EarthVision software. The Camp Stanley model contains 11 hydrostratigraphic units in descending order: 1 model layer representing the Edwards aquifer; 1 model layer representing the upper Trinity aquifer; 6 model layers representing the informal hydrostratigraphic units that make up the upper part of the middle Trinity aquifer; and 3 model layers representing each, the Bexar, Cow Creek, and the top of the Hammett of the lower part of the middle Trinity aquifer. The Camp Stanley three-dimensional model includes 14 fault structures that generally trend northeast/southwest. The top of Hammett hydrostratigraphic unit was used to propagate and validate all fault structures and to confirm most of the drill-hole data. Differences between modeled and previously mapped surface geology reflect interpretation of fault relations at depth, fault relations to hydrostratigraphic contacts, and surface digital elevation model simplification to fit the scale of the model. In addition, changes based on recently obtained drill-hole data and field reconnaissance done during the construction of the model. The three-dimensional modeling process revealed previously undetected horst and graben structures in the northeastern and southern parts of the study area. This is atypical, as most faults in the area are en echelon that step down southeasterly to the Gulf Coast. The graben structures may increase the potential for controlling or altering local groundwater flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145074","collaboration":"Prepared in cooperation with the Camp Stanley Storage Activity Environmental Management Office and the Parsons Corporation","usgsCitation":"Pantea, M.P., Blome, C.D., and Clark, A.K., 2014, Three-dimensional model of the hydrostratigraphy and structure of the area in and around the U.S. Army-Camp Stanley Storage Activity Area, northern Bexar County, Texas: U.S. Geological Survey Scientific Investigations Report 2014-5074, Report: iii, 13 p.; 3D Model; Downloads Directory, https://doi.org/10.3133/sir20145074.","productDescription":"Report: iii, 13 p.; 3D Model; Downloads Directory","numberOfPages":"21","ipdsId":"IP-050575","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":293632,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5074/downloads/Video/SIR_2014_5074_ppt.wmv"},{"id":293633,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5074/downloads/"},{"id":293634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145074.jpg"},{"id":293631,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5074/downloads/Report/SIR_2014-5074.pdf"},{"id":293626,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5074/"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.883333,29.35 ], [ -98.883333,30.125 ], [ -98.108333,30.125 ], [ -98.108333,29.35 ], [ -98.883333,29.35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8ee4b0239f1986b9ed","contributors":{"authors":[{"text":"Pantea, Michael P. mpantea@usgs.gov","contributorId":1549,"corporation":false,"usgs":true,"family":"Pantea","given":"Michael","email":"mpantea@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":493787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493786,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70124051,"text":"70124051 - 2014 - Estimating the spatial distribution of wintering little brown bat populations in the eastern United States","interactions":[],"lastModifiedDate":"2016-01-26T15:45:48","indexId":"70124051","displayToPublicDate":"2014-09-10T15:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the spatial distribution of wintering little brown bat populations in the eastern United States","docAbstract":"

Depicting the spatial distribution of wildlife species is an important first step in developing management and conservation programs for particular species. Accurate representation of a species distribution is important for predicting the effects of climate change, land-use change, management activities, disease, and other landscape-level processes on wildlife populations. We developed models to estimate the spatial distribution of little brown bat (Myotis lucifugus) wintering populations in the United States east of the 100th meridian, based on known hibernacula locations. From this data, we developed several scenarios of wintering population counts per county that incorporated uncertainty in the spatial distribution of the hibernacula as well as uncertainty in the size of the current little brown bat population. We assessed the variability in our results resulting from effects of uncertainty. Despite considerable uncertainty in the known locations of overwintering little brown bats in the eastern United States, we believe that models accurately depicting the effects of the uncertainty are useful for making management decisions as these models are a coherent organization of the best available information.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1215","usgsCitation":"Russell, R.E., Tinsley, K., Erickson, R.A., Thogmartin, W.E., and Szymanski, J.A., 2014, Estimating the spatial distribution of wintering little brown bat populations in the eastern United States: Ecology and Evolution, v. 4, no. 19, p. 3746-3754, https://doi.org/10.1002/ece3.1215.","productDescription":"9 p.","startPage":"3746","endPage":"3754","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056690","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472766,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.1215","text":"External Repository"},{"id":306624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.986328125,\n 25.958044673317843\n ],\n [\n -100.986328125,\n 49.03786794532644\n ],\n [\n -67.060546875,\n 49.03786794532644\n ],\n [\n -67.060546875,\n 25.958044673317843\n ],\n [\n -100.986328125,\n 25.958044673317843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-09-08","publicationStatus":"PW","scienceBaseUri":"541157b3e4b0fe7e184a553b","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":500581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinsley, Karl","contributorId":23457,"corporation":false,"usgs":false,"family":"Tinsley","given":"Karl","email":"","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":500583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":500584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":500580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szymanski, Jennifer A.","contributorId":127486,"corporation":false,"usgs":false,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":500582,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70123861,"text":"70123861 - 2014 - Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park","interactions":[],"lastModifiedDate":"2014-09-10T11:13:48","indexId":"70123861","displayToPublicDate":"2014-09-10T11:07:00","publicationYear":"2014","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":"Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park","docAbstract":"Mosaics of tree clumps and openings are characteristic of forests dominated by frequent, low- and moderate-severity fires. When restoring these fire-suppressed forests, managers often try to reproduce these structures to increase ecosystem resilience. We examined unburned and burned forest structures for 1937 0.81 ha sample areas in Yosemite National Park, USA. We estimated severity for fires from 1984 to 2010 using the Landsat-derived Relativized differenced Normalized Burn Ratio (RdNBR) and measured openings and canopy clumps in five height strata using airborne LiDAR data. Because our study area lacked concurrent field data, we identified methods to allow structural analysis using LiDAR data alone. We found three spatial structures, canopy-gap, clump-open, and open, that differed in spatial arrangement and proportion of canopy and openings. As fire severity increased, the total area in canopy decreased while the number of clumps increased, creating a patchwork of openings and multistory tree clumps. The presence of openings > 0.3 ha, an approximate minimum gap size needed to favor shade-intolerant pine regeneration, increased rapidly with loss of canopy area. The range and variation of structures for a given fire severity were specific to each forest type. Low- to moderate-severity fires best replicated the historic clump-opening patterns that were common in forests with frequent fire regimes. Our results suggest that managers consider the following goals for their forest restoration: 1) reduce total canopy cover by breaking up large contiguous areas into variable-sized tree clumps and scattered large individual trees; 2) create a range of opening sizes and shapes, including ~ 50% of the open area in gaps > 0.3 ha; 3) create multistory clumps in addition to single story clumps; 4) retain historic densities of large trees; and 5) vary treatments to include canopy-gap, clump-open, and open mosaics across project areas to mimic the range of patterns found for each forest type in our study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.07.041","usgsCitation":"Kane, V., North, M.P., Lutz, J.A., Churchill, D.J., Roberts, S.L., Smith, D.F., McGaughey, R.J., Kane, J.T., and Brooks, M.L., 2014, Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park: Remote Sensing of Environment, v. 151, p. 89-101, https://doi.org/10.1016/j.rse.2013.07.041.","productDescription":"13 p.","startPage":"89","endPage":"101","ipdsId":"IP-045760","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293599,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.07.041"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.886496,37.494762 ], [ -119.886496,38.185228 ], [ -119.195416,38.185228 ], [ -119.195416,37.494762 ], [ -119.886496,37.494762 ] ] ] } } ] }","volume":"151","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541157b1e4b0fe7e184a5531","contributors":{"authors":[{"text":"Kane, Van R.","contributorId":25873,"corporation":false,"usgs":true,"family":"Kane","given":"Van R.","affiliations":[],"preferred":false,"id":500417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"North, Malcolm P.","contributorId":9975,"corporation":false,"usgs":true,"family":"North","given":"Malcolm","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":500414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, James A.","contributorId":61350,"corporation":false,"usgs":true,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Churchill, Derek J.","contributorId":16763,"corporation":false,"usgs":true,"family":"Churchill","given":"Derek","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Susan L.","contributorId":85312,"corporation":false,"usgs":true,"family":"Roberts","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Douglas F.","contributorId":76235,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":500420,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGaughey, Robert J.","contributorId":36865,"corporation":false,"usgs":true,"family":"McGaughey","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500418,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kane, Jonathan T.","contributorId":16329,"corporation":false,"usgs":true,"family":"Kane","given":"Jonathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":500415,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500413,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70117082,"text":"tm11C9 - 2014 - The Pedestrian Evacuation Analyst: geographic information systems software for modeling hazard evacuation potential","interactions":[],"lastModifiedDate":"2014-09-10T10:15:53","indexId":"tm11C9","displayToPublicDate":"2014-09-10T09:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-C9","title":"The Pedestrian Evacuation Analyst: geographic information systems software for modeling hazard evacuation potential","docAbstract":"

Recent disasters such as the 2011 Tohoku, Japan, earthquake and tsunami; the 2013 Colorado floods; and the 2014 Oso, Washington, mudslide have raised awareness of catastrophic, sudden-onset hazards that arrive within minutes of the events that trigger them, such as local earthquakes or landslides. Due to the limited amount of time between generation and arrival of sudden-onset hazards, evacuations are typically self-initiated, on foot, and across the landscape (Wood and Schmidtlein, 2012). Although evacuation to naturally occurring high ground may be feasible in some vulnerable communities, evacuation modeling has demonstrated that other communities may require vertical-evacuation structures within a hazard zone, such as berms or buildings, if at-risk individuals are to survive some types of sudden-onset hazards (Wood and Schmidtlein, 2013).

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Researchers use both static least-cost-distance (LCD) and dynamic agent-based models to assess the pedestrian evacuation potential of vulnerable communities. Although both types of models help to understand the evacuation landscape, LCD models provide a more general overview that is independent of population distributions, which may be difficult to quantify given the dynamic spatial and temporal nature of populations (Wood and Schmidtlein, 2012). Recent LCD efforts related to local tsunami threats have focused on an anisotropic (directionally dependent) path distance modeling approach that incorporates travel directionality, multiple travel speed assumptions, and cost surfaces that reflect variations in slope and land cover (Wood and Schmidtlein, 2012, 2013).

\n
\n

The Pedestrian Evacuation Analyst software implements this anisotropic path-distance approach for pedestrian evacuation from sudden-onset hazards, with a particular focus at this time on local tsunami threats. The model estimates evacuation potential based on elevation, direction of movement, land cover, and travel speed and creates a map showing travel times to safety (a time map) throughout a hazard zone. Model results provide a general, static view of the evacuation landscape at different pedestrian travel speeds and can be used to identify areas outside the reach of naturally occurring high ground. In addition, data on the size and location of different populations within the hazard zone can be integrated with travel-time maps to create tables and graphs of at-risk population counts as a function of travel time to safety. As a decision-support tool, the Pedestrian Evacuation Analyst provides the capability to evaluate the effectiveness of various vertical-evacuation structures within a study area, both through time maps of the modeled travel-time landscape with a potential structure in place and through comparisons of population counts within reach of safety.

\n
\n

The Pedestrian Evacuation Analyst is designed for use by researchers examining the pedestrian-evacuation potential of an at-risk community. In communities where modeled evacuation times exceed the event (for example, tsunami wave) arrival time, researchers can use the software with emergency managers to assess the area and population served by potential vertical-evacuation options. By automating and managing the modeling process, the software allows researchers to concentrate efforts on providing crucial and timely information on community vulnerability to sudden-onset hazards.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Geographic Information Systems tools and applications in Book 11 Collection and Delineation of Spatial Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C9","collaboration":"This report is Chapter 9 of Section C: Geographic Information Systems tools and applications in Book 11 Collection and Delineation of Spatial Data","usgsCitation":"Jones, J.M., Ng, P., and Wood, N.J., 2014, The Pedestrian Evacuation Analyst: geographic information systems software for modeling hazard evacuation potential: U.S. Geological Survey Techniques and Methods 11-C9, vi, 25 p., https://doi.org/10.3133/tm11C9.","productDescription":"vi, 25 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-052578","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":293581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm11C9.jpg"},{"id":293580,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/c09/pdf/tm11-c9.pdf"},{"id":293576,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/c09"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541157b6e4b0fe7e184a5549","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":495927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":495925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":495926,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70123460,"text":"ofr20141189 - 2014 - Waterbird egg mercury concentrations in response to wetland restoration in south San Francisco Bay, California","interactions":[],"lastModifiedDate":"2017-10-30T11:21:09","indexId":"ofr20141189","displayToPublicDate":"2014-09-10T09:02:00","publicationYear":"2014","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":"2014-1189","title":"Waterbird egg mercury concentrations in response to wetland restoration in south San Francisco Bay, California","docAbstract":"

The conversion of 50–90 percent of 15,100 acres of former salt evaporation ponds to tidal marsh habitat in the south San Francisco Bay, California, is planned as part of the South Bay Salt Pond Restoration Project. This large-scale habitat restoration may change the bioavailability of methylmercury. The South Bay already is known to have high methylmercury concentrations, with methylmercury concentrations in several waterbirds species more than known toxicity thresholds where avian reproduction is impaired.

\n
\n

In this 2013 study, we continued monitoring bird egg mercury concentrations in response to the restoration of the Pond A8/A7/A5 Complex to a potential tidal marsh in the future. The restoration of the Pond A8/A7/A5 Complex began in autumn 2010, and the Pond A8 Notch was opened 5 feet (one of eight gates) to muted tidal action on June 1, 2011, and then closed in the winter. In autumn 2010, internal levees between Ponds A8, A7, and A5 were breached and water depths were substantially increased by flooding the Pond A8/A7/A5 Complex in February 2011. In June 2012, 15 feet (three of eight gates) of the Pond A8 Notch was opened, and then closed in December 2012. In June 2013, 15 feet of the Pond A8 Notch again was opened, and the Pond A8/A7/A5 Complex was a relatively deep and large pond with muted tidal action in the summer.

\n
\n

This report synthesizes waterbird data from the 2013 breeding season, and combines it with our prior study’s data from 2010 and 2011.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141189","usgsCitation":"Ackerman, J., Herzog, M., Hartman, C.A., Watts, T.C., and Barr, J.R., 2014, Waterbird egg mercury concentrations in response to wetland restoration in south San Francisco Bay, California: U.S. Geological Survey Open-File Report 2014-1189, iv, 22 p., https://doi.org/10.3133/ofr20141189.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-057717","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141189.jpg"},{"id":293574,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1189/"},{"id":293579,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1189/pdf/ofr2014-1189.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.6325,36.8942 ], [ -123.6325,38.8642 ], [ -121.2082,38.8642 ], [ -121.2082,36.8942 ], [ -123.6325,36.8942 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541157b7e4b0fe7e184a554d","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, Christopher A. chartman@usgs.gov","contributorId":5242,"corporation":false,"usgs":true,"family":"Hartman","given":"Christopher","email":"chartman@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Trevor C. twatts@usgs.gov","contributorId":5698,"corporation":false,"usgs":true,"family":"Watts","given":"Trevor","email":"twatts@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":500143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barr, Jarred R. jrbarr@usgs.gov","contributorId":5699,"corporation":false,"usgs":true,"family":"Barr","given":"Jarred","email":"jrbarr@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":500144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70122729,"text":"fs20143085 - 2014 - The 3D Elevation Program: summary for Arizona","interactions":[],"lastModifiedDate":"2016-08-17T15:25:43","indexId":"fs20143085","displayToPublicDate":"2014-09-09T16:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3085","title":"The 3D Elevation Program: summary for Arizona","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Arizona, elevation data are critical for infrastructure and construction management, natural resources conservation, flood risk management, geologic resource assessment and hazard mitigation, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.

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William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":499672,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059134,"text":"70059134 - 2014 - Identifying sources of aeolian mineral dust: Present and past","interactions":[],"lastModifiedDate":"2015-11-13T14:42:44","indexId":"70059134","displayToPublicDate":"2014-09-09T15:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Identifying sources of aeolian mineral dust: Present and past","docAbstract":"

Aeolian mineral dust is an important component of the Earth’s environmental systems, playing roles in the planetary radiation balance, as a source of fertilizer for biota in both terrestrial and marine realms and as an archive for understanding atmospheric circulation and paleoclimate in the geologic past. Crucial to understanding all of these roles of dust is the identification of dust sources. Here we review the methods used to identify dust sources active at present and in the past. Contemporary dust sources, produced by both glaciogenic and non-glaciogenic processes, can be readily identified by the use of Earth-orbiting satellites. These data show that present dust sources are concentrated in a global dust belt that encompasses large topographic basins in low-latitude arid and semiarid regions. Geomorphic studies indicate that specific point sources for dust in this zone include dry or ephemeral lakes, intermittent stream courses, dune fields, and some bedrock surfaces. Back-trajectory analyses are also used to identify dust sources, through modeling of wind fields and the movement of air parcels over periods of several days. Identification of dust sources from the past requires novel approaches that are part of the geologic toolbox of provenance studies. Identification of most dust sources of the past requires the use of physical, mineralogical, geochemical, and isotopic analyses of dust deposits. Physical properties include systematic spatial changes in dust deposit thickness and particle size away from a source. Mineralogy and geochemistry can pinpoint dust sources by clay mineral ratios and Sc-Th-La abundances, respectively. The most commonly used isotopic methods utilize isotopes of Nd, Sr, and Pb and have been applied extensively in dust archives of deep-sea cores, ice cores, and loess. All these methods have shown that dust sources have changed over time, with far more abundant dust supplies existing during glacial periods. Greater dust supplies in glacial periods are likely due to greater production of glaciogenic dust particles from expanded ice sheets and mountain glaciers, but could also include dust inputs from exposed continental and insular shelves now submerged. Future dust sources are difficult to assess, but will likely differ from those of the present because of global warming. Global warming could bring about shifts in dust sources by changes in degree or type of vegetation cover, changes in wind strength, and increases or decreases in the size of water bodies. A major uncertainty in assessing dust sources of the future is related to changes inhuman land use, which could affect land surface cover, particularly due to increased agricultural endeavors and water usage.

","largerWorkType":{"id":5,"text":"Book chapter"},"largerWorkTitle":"Mineral dust: A key player in the earth system","largerWorkSubtype":{"id":24,"text":"Book Chapter"},"language":"English","publisher":"Springer","publisherLocation":"Dordrecht","doi":"10.1007/978-94-017-8978-3","usgsCitation":"Muhs, D.R., Prospero, J., Baddock, M.C., and Gill, T., 2014, Identifying sources of aeolian mineral dust: Present and past, chap. of Mineral dust: A key player in the earth system, p. 51-74, https://doi.org/10.1007/978-94-017-8978-3.","productDescription":"14 p.","startPage":"51","endPage":"74","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045657","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":311316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Global","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564717cbe4b0e2669b313114","contributors":{"authors":[{"text":"Muhs, Daniel R","contributorId":118290,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":518428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prospero, Joseph M","contributorId":118520,"corporation":false,"usgs":true,"family":"Prospero","given":"Joseph M","affiliations":[],"preferred":false,"id":518429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baddock, Matthew C","contributorId":117410,"corporation":false,"usgs":true,"family":"Baddock","given":"Matthew","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":518427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Thomas E","contributorId":119945,"corporation":false,"usgs":true,"family":"Gill","given":"Thomas E","affiliations":[],"preferred":false,"id":518430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70120245,"text":"ofr20141173 - 2014 - Water-chemistry data collected in and near Kaloko-Honokohau National Historical Park, Hawaii, 2012–2014","interactions":[],"lastModifiedDate":"2014-09-09T16:13:46","indexId":"ofr20141173","displayToPublicDate":"2014-09-09T08:53:00","publicationYear":"2014","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":"2014-1173","title":"Water-chemistry data collected in and near Kaloko-Honokohau National Historical Park, Hawaii, 2012–2014","docAbstract":"Kaloko-Honokōhau National Historical Park (KAHO) on western Hawaiʻi was established in 1978 to preserve, interpret, and perpetuate traditional Native Hawaiian culture and activities, including the preservation of a variety of culturally and ecologically significant water resources that are vital to this mission. KAHO water bodies provide habitat for 1 threatened, 11 endangered, and 3 candidate threatened or endangered species. These habitats are sustained by, and in the case of ʻAimakapā Fishpond and the anchialine pools, entirely dependent on, groundwater from the Keauhou aquifer system. Development of inland impounded groundwater in the Keauhou aquifer system may affect the coastal freshwater-lens system on which KAHO depends, if the inland impounded-groundwater and coastal freshwater-lens systems are hydrologically connected. This report documents water-chemistry results from a U.S. Geological Survey study that collected and analyzed water samples from 2012 to 2014 from 25 sites in and near KAHO to investigate potential geochemical indicators in water that might indicate the presence or absence of a hydrologic connection between the inland impounded-groundwater and coastal freshwater-lens systems in the area. Samples were collected under high-tide and low-tide conditions for KAHO sites, and in dry-season and wet-season conditions for all sites. Samples were collected from two ocean sites, two fishponds, three anchialine pools, and three monitoring wells within KAHO. Two additional nearshore wells were sampled on property adjacent to and north of KAHO. Additional samples from the freshwater-lens system were collected from six inland wells located upslope from KAHO, including three production wells. Seven production wells in the inland impounded-groundwater system also were sampled. Water samples were analyzed for major ions, selected trace elements, rare-earth elements, strontium-isotope ratio, and stable isotopes of water. Precipitation samples from five sites were collected roughly along a transect upslope from KAHO. All precipitation samples were analyzed for stable isotopes of water and some precipitation samples were analyzed for rare-earth and selected trace elements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141173","collaboration":"Prepared in cooperation with the Hawaiʻi Commission on Water Resource Management and the National Park Service","usgsCitation":"Tillman, F., Oki, D.S., and Johnson, A.G., 2014, Water-chemistry data collected in and near Kaloko-Honokohau National Historical Park, Hawaii, 2012–2014: U.S. Geological Survey Open-File Report 2014-1173, Report: v, 14 p.; Tables, https://doi.org/10.3133/ofr20141173.","productDescription":"Report: v, 14 p.; Tables","numberOfPages":"24","onlineOnly":"Y","temporalStart":"2012-01-01","temporalEnd":"2014-09-01","ipdsId":"IP-057290","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":293481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141173.jpg"},{"id":293477,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1173/pdf/ofr2014-1173.pdf"},{"id":293478,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1173/downloads/ofr2014-1173_tables.xlsx"},{"id":293469,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1173/"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kaloko-honokohau National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.045925,19.665068 ], [ -156.045925,19.693891 ], [ -156.016629,19.693891 ], [ -156.016629,19.665068 ], [ -156.045925,19.665068 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54100634e4b07ab1cd980825","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":498048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116961,"text":"sir20145135 - 2014 - Pesticide trends in major rivers of the United States, 1992-2010","interactions":[],"lastModifiedDate":"2017-10-12T20:11:39","indexId":"sir20145135","displayToPublicDate":"2014-09-09T08:42:00","publicationYear":"2014","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":"2014-5135","title":"Pesticide trends in major rivers of the United States, 1992-2010","docAbstract":"

This report is part of a series of pesticide trend assessments led by the National Water-Quality Assessment Program of the U.S. Geological Survey. This assessment focuses on major rivers of various sizes throughout the United States that have large watersheds with a range of land uses, changes in pesticide use, changes in management practices, and natural influences typical of the regions being drained.

\n
\n

Trends were assessed at 59 sites for 40 pesticides and pesticide degradates during each of three overlapping periods: 1992–2001, 1997–2006, and 2001–10. In addition to trends in concentration, trends in agricultural-use intensity (agricultural use) were also assessed at 57 of the sites for 35 parent compounds with agricultural uses during the same three periods. The SEAWAVE-Q model was used to analyze trends in concentration, and parametric survival regression for interval-censored data was used to assess trends in agricultural use. All trends are provided in downloadable electronic files.

\n
\n

A subset of 39 sites was chosen to represent non-nested, generally independent basins for a national analysis of pesticide and agricultural-use trends for the most prevalent pesticides (15 pesticides and 2 degradation products). Graphical and numerical results are presented to provide a national overview of concentration and use trends. As another perspective on understanding pesticide concentration trends in large rivers in relation to multiple tributary watersheds, this report also presents a detailed assessment of concentration and use trends for simazine, metolachlor, atrazine, deethylatrazine, and diazinon for a set of 17 nested sites in the Mississippi River Basin (including the Ohio and Missouri River Basins), for the second and third trend periods.

\n
\n

Pesticides strongly dominated by agricultural use—cyanazine, metolachlor, atrazine, and alachlor—had widespread agreement between concentration trends and agricultural-use trends. Pesticides with substantial use in agricultural and urban applications—simazine, tebuthiuron, Dacthal, pendimethalin, chlorpyrifos, malathion, diazinon, fipronil, carbofuran, and carbaryl—had concentration trends that were mostly explained by a combination of agricultural-use trends and concentration trends in urban streams that were evaluated in a separate companion study. The importance of the urban stream trends for explaining concentration trends in major rivers indicates the significance of nonagricultural uses of some pesticides to concentrations in major rivers despite the much smaller area of urban land use compared to agriculture. Deethylatrazine, a degradate of atrazine, was the only pesticide compound assessed that had frequent occurrences during 1997–2006 and 2001–10 of concentration trends in the opposite direction of use trends (atrazine use). The nested analysis for the Mississippi River indicates that most trends observed in the largest rivers—multiple Mississippi River sites, the Ohio River, and the Missouri River—are consistent with streamflow contributions and concentration trends observed at tributary sites.

\n
\n

Streamflow (incorporated into the trend model and shown in the nested basin analysis), trends in agricultural use of pesticides (quantified in this report), and urban use of pesticides (represented by concentration trends in a companion study of urban streams) are all important influences on pesticide concentrations in streams and rivers. Consideration of these influences is vital to understanding trends in pesticide concentrations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145135","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Ryberg, K.R., Vecchia, A.V., Gilliom, R.J., and Martin, J.D., 2014, Pesticide trends in major rivers of the United States, 1992-2010: U.S. Geological Survey Scientific Investigations Report 2014-5135, Report: vi, 63 p.; 2 Tables, https://doi.org/10.3133/sir20145135.","productDescription":"Report: vi, 63 p.; 2 Tables","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-052669","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":293476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145135.jpg"},{"id":293472,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5135/"},{"id":293473,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5135/pdf/sir2014-5135.pdf"},{"id":293474,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5135/downloads/table06.xlsx"},{"id":293475,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5135/downloads/table05.xlsx"}],"projection":"Albers Equal-Area Conic projection","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.15,24.86 ], [ -125.15,48.99 ], [ -66.95,48.99 ], [ -66.95,24.86 ], [ -125.15,24.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54100631e4b07ab1cd9807fd","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":495907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":495904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70123617,"text":"70123617 - 2014 - Metamorphosis alters contaminants and chemical tracers in insects: implications for food webs","interactions":[],"lastModifiedDate":"2018-09-18T16:05:05","indexId":"70123617","displayToPublicDate":"2014-09-08T10:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Metamorphosis alters contaminants and chemical tracers in insects: implications for food webs","docAbstract":"Insects are integral to most freshwater and terrestrial food webs, but due to their accumulation of environmental pollutants they are also contaminant vectors that threaten reproduction, development, and survival of consumers. Metamorphosis from larvae to adult can cause large chemical changes in insects, altering contaminant concentrations and fractionation of chemical tracers used to establish contaminant biomagnification in food webs, but no framework exists for predicting and managing these effects. We analyzed data from 39 studies of 68 analytes (stable isotopes and contaminants), and found that metamorphosis effects varied greatly. δ15N, widely used to estimate relative trophic position in biomagnification studies, was enriched by 1‰ during metamorphosis, while δ13C used to estimate diet, was similar in larvae and adults. Metals and polycyclic aromatic hydrocarbons (PAHs) were predominantly lost during metamorphosis leading to 2 to 125-fold higher larval concentrations and higher exposure risks for predators of larvae compared to predators of adults. In contrast, manufactured organic contaminants (such as polychlorinated biphenyls) were retained and concentrated in adults, causing up to 3-fold higher adult concentrations and higher exposure risks to predators of adult insects. Both food web studies and contaminant management and mitigation strategies need to consider how metamorphosis affects the movement of materials between habitats and ecosystems, with special regard for aquatic-terrestrial linkages.","language":"English","publisher":"ACS Publications","doi":"10.1021/es502970b","usgsCitation":"Kraus, J.M., Walters, D., Wesner, J.S., Stricker, C.A., Schmidt, T., and Zuellig, R.E., 2014, Metamorphosis alters contaminants and chemical tracers in insects: implications for food webs: Environmental Science & Technology, v. 48, no. 18, p. 10957-10965, https://doi.org/10.1021/es502970b.","productDescription":"9 p.","startPage":"10957","endPage":"10965","ipdsId":"IP-053497","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es502970b","text":"Publisher Index Page"},{"id":293471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293468,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es502970b"}],"volume":"48","issue":"18","noUsgsAuthors":false,"publicationDate":"2014-09-02","publicationStatus":"PW","scienceBaseUri":"540eb4b1e4b0ba75dc8d7b18","chorus":{"doi":"10.1021/es502970b","url":"http://dx.doi.org/10.1021/es502970b","publisher":"American Chemical Society (ACS)","authors":"Kraus Johanna M., Walters David M., Wesner Jeff S., Stricker Craig A., Schmidt Travis S., Zuellig Robert E.","journalName":"Environmental Science & Technology","publicationDate":"9/16/2014","auditedOn":"3/4/2016","publiclyAccessibleDate":"9/2/2014"},"contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":500195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":500194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesner, Jeff S.","contributorId":6754,"corporation":false,"usgs":true,"family":"Wesner","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":500196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":500191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":500192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500193,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70123761,"text":"70123761 - 2014 - Remote sensing analysis of riparian vegetation response to desert marsh restoration in the Mexican Highlands","interactions":[],"lastModifiedDate":"2014-09-09T09:05:26","indexId":"70123761","displayToPublicDate":"2014-09-08T09:03:22","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing analysis of riparian vegetation response to desert marsh restoration in the Mexican Highlands","docAbstract":"Desert marshes, or cienegas, are extremely biodiverse habitats imperiled by anthropogenic demands for water and changing climates. Given their widespread loss and increased recognition, remarkably little is known about restoration techniques. In this study, we examine the effects of gabions (wire baskets filled with rocks used as dams) on vegetation in the Cienega San Bernardino, in the Arizona, Sonora portion of the US-Mexico border, using a remote-sensing analysis coupled with field data. The Normalized Difference Vegetation Index (NDVI), used here as a proxy for plant biomass, is compared at gabion and control sites over a 27-year period during the driest months (May/June). Over this period, green-up occurred at most sites where there were gabions and at a few of the control sites where gabions had not been constructed. When we statistically controlled for differences among sites in source area, stream order, elevation, and interannual winter rainfall, as well as comparisons of before and after the initiation of gabion construction, vegetation increased around gabions yet did not change (or decreased) where there were no gabions. We found that NDVI does not vary with precipitation inputs prior to construction of gabions but demonstrates a strong response to precipitation after the gabions are built. Field data describing plant cover, species richness, and species composition document increases from 2000 to 2012 and corroborate reestablished biomass at gabions. Our findings validate that gabions can be used to restore riparian vegetation and potentially ameliorate drought conditions in a desert cienega.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.ecoleng.2014.05.012","usgsCitation":"Norman, L.M., Villarreal, M.L., Pulliam, H.R., Minckley, R.L., Gass, L., Tolle, C., and Coe, M., 2014, Remote sensing analysis of riparian vegetation response to desert marsh restoration in the Mexican Highlands: Ecological Engineering, v. 70, p. 241-254, https://doi.org/10.1016/j.ecoleng.2014.05.012.","productDescription":"14 p.","startPage":"241","endPage":"254","numberOfPages":"14","ipdsId":"IP-053328","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472774,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2014.05.012","text":"Publisher Index Page"},{"id":293486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293485,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2014.05.012"}],"country":"Mexico;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.00,30.00 ], [ -112.00,34.00 ], [ -108.00,34.00 ], [ -108.00,30.00 ], [ -112.00,30.00 ] ] ] } } ] }","volume":"70","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54101478e4b07ab1cd980aed","chorus":{"doi":"10.1016/j.ecoleng.2014.05.012","url":"http://dx.doi.org/10.1016/j.ecoleng.2014.05.012","publisher":"Elsevier BV","authors":"Norman Laura, Villarreal Miguel, Pulliam H. Ronald, Minckley Robert, Gass Leila, Tolle Cindy, Coe Michelle","journalName":"Ecological Engineering","publicationDate":"9/2014","auditedOn":"7/24/2015","publiclyAccessibleDate":"5/28/2014"},"contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":500229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":500230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulliam, H. Ronald","contributorId":75453,"corporation":false,"usgs":true,"family":"Pulliam","given":"H.","email":"","middleInitial":"Ronald","affiliations":[],"preferred":false,"id":500233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minckley, Robert L.","contributorId":86652,"corporation":false,"usgs":true,"family":"Minckley","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":500231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tolle, Cindy","contributorId":18684,"corporation":false,"usgs":true,"family":"Tolle","given":"Cindy","email":"","affiliations":[],"preferred":false,"id":500232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coe, Michelle","contributorId":92974,"corporation":false,"usgs":true,"family":"Coe","given":"Michelle","affiliations":[],"preferred":false,"id":500235,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70124495,"text":"70124495 - 2014 - Two low coverage bird genomes and a comparison of reference-guided versus de novo genome assemblies","interactions":[],"lastModifiedDate":"2014-09-12T15:28:11","indexId":"70124495","displayToPublicDate":"2014-09-05T15:25:00","publicationYear":"2014","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":"Two low coverage bird genomes and a comparison of reference-guided versus de novo genome assemblies","docAbstract":"As a greater number and diversity of high-quality vertebrate reference genomes become available, it is increasingly feasible to use these references to guide new draft assemblies for related species. Reference-guided assembly approaches may substantially increase the contiguity and completeness of a new genome using only low levels of genome coverage that might otherwise be insufficient for de novo genome assembly. We used low-coverage (~3.5–5.5x) Illumina paired-end sequencing to assemble draft genomes of two bird species (the Gunnison Sage-Grouse, Centrocercus minimus, and the Clark's Nutcracker, Nucifraga columbiana). We used these data to estimate de novo genome assemblies and reference-guided assemblies, and compared the information content and completeness of these assemblies by comparing CEGMA gene set representation, repeat element content, simple sequence repeat content, and GC isochore structure among assemblies. Our results demonstrate that even lower-coverage genome sequencing projects are capable of producing informative and useful genomic resources, particularly through the use of reference-guided assemblies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0106649","usgsCitation":"Card, D., Schield, D., Reyes-Velasco, J., Fujita, M.K., Andrew, A., Oyler-McCance, S.J., Fike, J., Tomback, D.F., Ruggiero, R.P., and Castoe, T.A., 2014, Two low coverage bird genomes and a comparison of reference-guided versus de novo genome assemblies: PLoS ONE, v. 9, no. 9, e106649; 13 p., https://doi.org/10.1371/journal.pone.0106649.","productDescription":"e106649; 13 p.","numberOfPages":"13","ipdsId":"IP-055003","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0106649","text":"Publisher Index Page"},{"id":293851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293777,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0106649"}],"volume":"9","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-09-05","publicationStatus":"PW","scienceBaseUri":"54140b2de4b082fed288b9c0","contributors":{"authors":[{"text":"Card, Daren C.","contributorId":89072,"corporation":false,"usgs":true,"family":"Card","given":"Daren C.","affiliations":[],"preferred":false,"id":500846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schield, Drew R.","contributorId":24709,"corporation":false,"usgs":true,"family":"Schield","given":"Drew R.","affiliations":[],"preferred":false,"id":500840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reyes-Velasco, Jacobo","contributorId":57387,"corporation":false,"usgs":true,"family":"Reyes-Velasco","given":"Jacobo","email":"","affiliations":[],"preferred":false,"id":500843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujita, Matthre K.","contributorId":18291,"corporation":false,"usgs":true,"family":"Fujita","given":"Matthre","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":500838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrew, Audra L.","contributorId":51670,"corporation":false,"usgs":true,"family":"Andrew","given":"Audra L.","affiliations":[],"preferred":false,"id":500841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":500837,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fike, Jennifer A.","contributorId":54468,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[],"preferred":false,"id":500842,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tomback, Diana F.","contributorId":69427,"corporation":false,"usgs":true,"family":"Tomback","given":"Diana","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":500844,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruggiero, Robert P.","contributorId":73127,"corporation":false,"usgs":true,"family":"Ruggiero","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":500845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Castoe, Todd A.","contributorId":23819,"corporation":false,"usgs":true,"family":"Castoe","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500839,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70101015,"text":"sir20145065 - 2014 - Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2018-06-08T13:31:38","indexId":"sir20145065","displayToPublicDate":"2014-09-05T12:18:00","publicationYear":"2014","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":"2014-5065","title":"Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project","docAbstract":"

Groundwater quality in the Klamath Mountains (KLAM) study unit was investigated as part of the Priority Basin Project of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in Del Norte, Humboldt, Shasta, Siskiyou, Tehama, and Trinity Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory.

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The GAMA Priority Basin Project was designed to provide a spatially unbiased, statistically robust assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality data and explanatory factors for groundwater samples collected in 2010 by the USGS from 39 sites and on water-quality data from the California Department of Public Health (CDPH) water-quality database. The primary aquifer system was defined by the depth intervals of the wells listed in the CDPH water-quality database for the KLAM study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.

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This study included two types of assessments: (1) a status assessment, which characterized the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds, pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements, and (2) an understanding assessment, which evaluated the natural and human factors potentially affecting the groundwater quality. The assessments were intended to characterize the quality of groundwater resources in the primary aquifer system of the KLAM study unit, not the quality of treated drinking water delivered to consumers by water purveyors.

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Relative-concentrations (sample concentrations divided by the health- or aesthetic-based benchmark concentrations) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than (>) 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to (≤) 1.0 indicates a concentration less than or equal to a benchmark. Relative-concentrations of organic constituents were classified as “high” (relative-concentration > 1.0), “moderate” (0.1 < relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.1). For inorganic constituents, the boundary between low and moderate relative-concentration was set at 0.5.

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Aquifer-scale proportion was used in the status assessment as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents; percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentages of the primary aquifer system with moderate and low relative-concentrations, respectively.

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The KLAM study unit includes more than 8,800 square miles (mi2), but only those areas near the sampling sites, about 920 mi2, are included in the areal assessment of the study unit. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. To confirm this methodology, 90 percent confidence intervals were calculated for the grid-based high aquifer-scale proportions and were compared to the spatially weighted results, which were found to be within these confidence intervals in all cases. Grid-based results were selected for use in the status assessment unless, as was observed in a few cases, a grid-based result was zero and the spatially weighted result was not zero, in which case, the spatially weighted result was used.

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The status assessment showed that inorganic constituents with human-health benchmarks were detected at high relative-concentrations in 2.6 percent of the primary aquifer system and at moderate relative-concentrations in 10 percent of the system. The high aquifer-scale proportion for inorganic constituents mainly reflected the high aquifer-scale proportions of boron. Inorganic constituents with secondary maximum contaminant levels were detected at high relative-concentrations in 13 percent of the primary aquifer system and at moderate relative-concentrations in 10 percent of the system. The constituents present at high relative-concentrations included iron and manganese.

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Organic constituents with human-health benchmarks were not detected at high relative-concentrations, but were detected at moderate relative-concentrations in 1.9 percent of the primary aquifer system. The 1.9 percent reflected a spatially weighted moderate aquifer-scale proportion for the gasoline additive methyl tert-butyl ether. Of the 148 organic constituents analyzed, 14 constituents were detected. Only one organic constituent had a detection frequency of greater than 10 percent—the trihalomethane, chloroform.

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The second component of this study, the understanding assessment, identified the natural and human factors that may have affected the groundwater quality in the KLAM study unit by evaluating statistical correlations between water-quality constituents and potential explanatory factors. The potential explanatory factors evaluated were aquifer lithology, land use, hydrologic conditions, depth, groundwater age, and geochemical conditions. Results of the statistical evaluations were used to explain the occurrence and distribution of constituents in the KLAM study unit.

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Groundwater age distribution (modern, mixed, or pre-modern), redox class (oxic, mixed, or anoxic), and dissolved oxygen concentration were the explanatory factors that best explained occurrence patterns of the inorganic constituents. High concentrations of boron were found to be associated with groundwater classified as mixed or pre-modern with respect to groundwater age. Boron was also negatively correlated to dissolved oxygen and positively correlated to specific conductance. Iron and manganese concentrations were strongly associated with low dissolved oxygen concentrations, anoxic and mixed redox classifications, and pre-modern groundwater. Specific conductance concentrations were found to be related to pre-modern groundwater, low dissolved oxygen concentrations, and high pH.

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Chloroform was selected for additional evaluation in the understanding assessment because it was detected in more than 10 percent of wells sampled in the KLAM study unit. Septic tank density was the only explanatory factor that was found to relate to chloroform concentrations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145065","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L., Fram, M.S., and Belitz, K., 2014, Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5065, viii, 58 p., https://doi.org/10.3133/sir20145065.","productDescription":"viii, 58 p.","numberOfPages":"70","ipdsId":"IP-043179","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":293462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145065.jpg"},{"id":293460,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5065/"},{"id":293461,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5065/pdf/sir2014-5065.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Klamath Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.00,32.00 ], [ -125.00,42.00 ], [ -114.00,42.00 ], [ -114.00,32.00 ], [ -125.00,32.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac032e4b023c1f29d587d","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":492541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70123288,"text":"ofr20141186 - 2014 - Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012","interactions":[],"lastModifiedDate":"2014-09-05T10:44:47","indexId":"ofr20141186","displayToPublicDate":"2014-09-05T10:39:00","publicationYear":"2014","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":"2014-1186","title":"Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012","docAbstract":"

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 2012 were used to describe the spawning migrations in that year and also were incorporated into capture-recapture analyses of population dynamics.

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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 were examined to provide corroborating evidence of recruitment. Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations in 2011. Separate analyses were conducted for each species and also for each subpopulation of Lost River suckers (LRS). Shortnose suckers (SNS) and one subpopulation of LRS migrate into tributary rivers to spawn, whereas the other LRS subpopulation spawns at groundwater upwelling areas along the eastern shoreline of the lake.

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In 2012, we captured, tagged, and released 749 LRS at four lakeshore spawning areas and recaptured an additional 969 individuals that had been tagged in previous years. Across all four areas, the remote antennas detected 6,578 individual LRS during the spawning season. Spawning activity peaked in April and most individuals were encountered at Cinder Flats and Sucker Springs. In the Williamson River, we captured, tagged, and released 3,376 LRS and 299 SNS, and recaptured 551 LRS and 125 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 19,321 LRS and 6,124 SNS. Most LRS passed upstream between late April and mid-May when water temperatures were increasing and greater than 10 °C. In contrast, most upstream passage for SNS occurred in early and mid-May when water temperatures were increasing and near or greater than 12 °C. Finally, an additional 1,188 LRS and 1,665 SNS were captured in trammel net sampling at pre-spawn staging areas in the northeastern part of the lake. Of these, 291 of the LRS and 653 of the SNS had been PIT-tagged in previous years. For LRS captured at the staging areas that had encounter histories that were informative about their spawning location, over 90 percent of the fish were members of the subpopulation that spawns in the rivers.

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Capture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for more than 12,150 individuals, and analyses for the subpopulation that spawns in the rivers included more than 29,500 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than 0.9) between 1999 and 2010. Notably lower survival occurred for both sexes from the rivers in 2000, for both sexes from the shoreline areas in 2002, and for males from the rivers in 2006. Between 2001 and 2011, the abundance of males in the lakeshore spawning subpopulation decreased by 53–65 percent and the abundance of females decreased by 36–48 percent. Capture-recapture models suggested that the abundance of both sexes in the river spawning subpopulation of LRS had increased substantially since 2006; increases were due to large estimated recruitment events in 2006 and 2008. We know that the estimates in 2006 are substantially biased in favor of recruitment because of a sampling issue. We are skeptical of the magnitude of recruitment indicated by the 2008 estimates as well because (1) few small individuals that would indicate the presence of new recruits were captured in that year, and (2) recapture probabilities in recruitment models based on just physical recaptures were lower than desired for robust inferences from capture-recapture models. If we assume that little or no recruitment occurred in 2006 or 2008, the abundance of both sexes in the river spawning subpopulation likely has decreased at rates similar to the rates for the lakeshore spawning subpopulation between 2002 and 2011.

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Capture-recapture analyses for SNS included encounter histories for more than 17,700 individuals. Most annual survival estimates between 2001 and 2010 were high (greater than 0.8), but SNS experienced more years of low survival than either LRS subpopulation. Annual survival of both sexes was particularly low in 2001, 2004, and 2010. In addition, male survival was somewhat low in 2002. Capture-recapture models and size composition data indicate that recruitment of new individuals into the SNS spawning population was trivial between 2001 and 2005. Models indicate substantial recruitment of new individuals into the SNS spawning population in 2006, 2008, and 2009. As a result, capture-recapture modeling suggests that the abundance of adult spawning SNS was relatively stable between 2006 and 2010. We are skeptical of the estimated recruitment in 2006, 2008, and 2009 because few small individuals that would indicate the presence of new recruits were captured in any of those years, and recapture probabilities in recruitment models were low. The best-case scenario for SNS, based on capture-recapture recruitment modeling, indicates that the abundance of males in the spawning population decreased by 71 percent and the abundance of females decreased by 69 percent between 2001 and 2011. The worst-case scenario, which assumes no recruitment and seems more likely, suggests an 86 percent decrease for males and an 81 percent decrease for females.

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Despite relatively high survival in most years, we conclude that 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 especially 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/ofr20141186","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B., and Harris, A., 2014, Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012: U.S. Geological Survey Open-File Report 2014-1186, vi, 44 p., https://doi.org/10.3133/ofr20141186.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-056892","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":293448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141186.PNG"},{"id":293447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1186/pdf/ofr2014-1186.pdf"},{"id":293446,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1186/"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.105786,42.233567 ], [ -122.105786,42.598638 ], [ -121.801545,42.598638 ], [ -121.801545,42.233567 ], [ -122.105786,42.233567 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac02fe4b023c1f29d584d","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":499963,"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":499965,"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":499964,"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":499962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70123519,"text":"ofr20141160 - 2014 - Sea-floor morphology and sedimentary environments of western Block Island Sound, northeast of Gardiners Island, New York","interactions":[],"lastModifiedDate":"2014-09-05T10:07:05","indexId":"ofr20141160","displayToPublicDate":"2014-09-05T10:01:00","publicationYear":"2014","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":"2014-1160","title":"Sea-floor morphology and sedimentary environments of western Block Island Sound, northeast of Gardiners Island, New York","docAbstract":"Multibeam-echosounder data, collected during survey H12299 by the National Oceanic and Atmospheric Administration in a 162-square-kilometer area of Block Island Sound, northeast of Gardiners Island, New York, are used along with sediment samples and bottom photography, collected at 37 stations in this area by the U.S. Geological Survey during cruise 2013-005-FA, to interpret sea-floor features and sedimentary environments. These data and interpretations provide important base maps for future studies of the sea floor, focused, for example, on benthic ecology and resource management. The features and sedimentary environments on the sea floor are products of the glacial history and modern tidal regime. Features include bedforms such as sand waves and megaripples, boulders, a large current-scoured depression, exposed glaciolacustrine sediments, and areas of modern marine sediment. Sand covers much of the study area and is often in the form of sand waves and megaripples, which indicate environments characterized by coarse-grained bedload transport. Boulders and gravelly lag deposits, which indicate environments of erosion or nondeposition, are found off the coast of Gardiners Island and on bathymetric highs, probably marking areas where deposits associated with recessional ice-front positions, the northern flank of the terminal moraine, or coastal-plain sediments covered with basal till are exposed. Bottom photographs and video of boulders show that they are commonly covered with sessile fauna. Strong tidal currents have produced the deep scour depression along the northwestern edge of the study area. The eastern side of this depression is armored with a gravel lag. Sea-floor areas characterized by modern marine sediments appear featureless at the 2-meter resolution of the bathymetry and flat to current rippled in the photography. These modern environments are indicative of sediment sorting and reworking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141160","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"McMullen, K.Y., Poppe, L., Danforth, W.W., Blackwood, D.S., Clos, A.R., and Parker, C., 2014, Sea-floor morphology and sedimentary environments of western Block Island Sound, northeast of Gardiners Island, New York: U.S. Geological Survey Open-File Report 2014-1160, HTML Document, https://doi.org/10.3133/ofr20141160.","productDescription":"HTML Document","onlineOnly":"N","ipdsId":"IP-056276","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141160.GIF"},{"id":293435,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1160/ofr2014-1160-title_page.html"},{"id":293431,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1160/"}],"country":"United States","state":"New York","otherGeospatial":"Block Island Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.5,39.833333 ], [ -72.5,41.5 ], [ -71.5,41.5 ], [ -71.5,39.833333 ], [ -72.5,39.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac032e4b023c1f29d5871","contributors":{"authors":[{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":24036,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[],"preferred":false,"id":500151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":500148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":500150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":500149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clos, Andrew R.","contributorId":101987,"corporation":false,"usgs":true,"family":"Clos","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Castle E.","contributorId":61754,"corporation":false,"usgs":false,"family":"Parker","given":"Castle E.","affiliations":[],"preferred":false,"id":500152,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70115049,"text":"sim3306 - 2014 - California State Waters Map Series — Offshore of San Gregorio, California","interactions":[],"lastModifiedDate":"2022-04-18T19:14:54.096311","indexId":"sim3306","displayToPublicDate":"2014-09-04T12:59:00","publicationYear":"2014","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":"3306","title":"California State Waters Map Series — Offshore of San Gregorio, California","docAbstract":"

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.

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The Offshore of San Gregorio map area is located in northern California, on the Pacific coast of the San Francisco Peninsula about 50 kilometers south of the Golden Gate. The map area lies offshore of the Santa Cruz Mountains, part of the northwest-trending Coast Ranges that run roughly parallel to the San Andreas Fault Zone. The Santa Cruz Mountains lie between the San Andreas Fault Zone and the San Gregorio Fault system.

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The nearest significant onshore cultural centers in the map area are San Gregorio and Pescadero, both unincorporated communities with populations well under 1,000. Both communities are situated inland of state beaches that share their names. No harbor facilities are within the Offshore of San Gregorio map area. The hilly coastal area is virtually undeveloped grazing land for sheep and cattle.

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The coastal geomorphology is controlled by late Pleistocene and Holocene slip in the San Gregorio Fault system. A westward bend in the San Andreas Fault Zone, southeast of the map area, coupled with right-lateral movement along the San Gregorio Fault system have caused regional folding and uplift. The coastal area consists of high coastal bluffs and vertical sea cliffs. Coastal promontories in the northern and southern parts of the map area are the result of right-lateral motion on strands of the San Gregorio Fault system. In the south, headlands near Pescadero Point have been uplifted by motion along the west strand of the San Gregorio Fault (also called the Frijoles Fault), which separates rocks of the Pigeon Point Formation south of the fault from rocks of the Purisima Formation north of the fault. The regional uplift in this map area has caused relatively shallow water depths within California's State Waters and, thus, little accommodation space for sediment accumulation. Sediment is observed offshore in the central part of the map area, in the shelter of the headlands north of the east strand of the San Gregorio Fault (also called the Coastways Fault) around Miramontes Point (about 5 km north of the map area) and also on the outer half of the California's State Waters shelf in the south where depths exceed 40 m. Sediment in the outer shelf of California's State Waters is rippled, indicating some mobility.

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The Offshore of San Gregorio map area lies within the cold-temperate biogeographic zone that is called either the \"Oregonian province\" or the \"northern California ecoregion.\" This biogeographic province is maintained by the long-term stability of the southward-flowing California Current, an eastern limb of the North Pacific subtropical gyre that flows from Oregon to Baja California. At its midpoint off central California, the California Current transports subarctic surface (0–500 m deep) waters southward, about 150 to 1,300 km from shore. Seasonal northwesterly winds that are, in part, responsible for the California Current, generate coastal upwelling. The south end of the Oregonian province is at Point Conception (about 350 km south of the map area), although its associated phylogeographic group of marine fauna may extend beyond to the area offshore of Los Angeles in southern California. The ocean off of central California has experienced a warming over the last 50 years that is driving an ecosystem shift away from the productive subarctic regime towards a depopulated subtropical environment.

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Seafloor habitats in the Offshore of San Gregorio map area, which lies within the Shelf (continental shelf) megahabitat, range from significant rocky outcrops that support kelp-forest communities nearshore to rocky-reef communities in deep water. Biological productivity resulting from coastal upwelling supports diverse populations of sea birds such as Sooty Shearwater, Western Gull, Common Murre, Cassin's Auklet, and many other less populous bird species. In addition, an observable recovery of Humpback and Blue Whales has occurred in the area; both species are dependent on coastal upwelling to provide nutrients. The large extent of exposed inner shelf bedrock supports large forests of \"bull kelp,\" which is well adapted for high wave-energy environments. Common fish species found in the kelp beds and rocky reefs include lingcod and various species of rockfish and greenling.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3306","usgsCitation":"Cochrane, G.R., Dartnell, P., Greene, H., Watt, J., Golden, N., Endris, C.A., Phillips, E., Hartwell, S., Johnson, S.Y., Kvitek, R.G., Erdey, M.D., Bretz, C.K., Manson, M.W., Sliter, R.W., Ross, S.L., Dieter, B., Chin, J., and Cochran, S., 2014, California State Waters Map Series — Offshore of San Gregorio, California: U.S. Geological Survey Scientific Investigations Map 3306, Pamphlet: iv, 38 p.; 10 Plates: 50.0 x 36.0 inches or smaller, https://doi.org/10.3133/sim3306.","productDescription":"Pamphlet: iv, 38 p.; 10 Plates: 50.0 x 36.0 inches or smaller","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051117","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3306.jpg"},{"id":293409,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet1.pdf"},{"id":293410,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet2.pdf"},{"id":293412,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet4.pdf"},{"id":293411,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet3.pdf"},{"id":293413,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet5.pdf"},{"id":293414,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet6.pdf"},{"id":293415,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet7.pdf"},{"id":293416,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet8.pdf"},{"id":293417,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet9.pdf"},{"id":293418,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet10.pdf"},{"id":293408,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3306/"},{"id":293420,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_pamphlet.pdf"},{"id":398962,"rank":14,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100686.htm"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 10N","country":"United States","state":"California","city":"San Gregorio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.55,37.216667 ], [ -122.55,37.4 ], [ -122.333333,37.4 ], [ -122.333333,37.216667 ], [ -122.55,37.216667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54096eafe4b03a5cfcdfafb2","contributors":{"editors":[{"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":509912,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":509913,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":495498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, H. Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":495509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Nadine E.","contributorId":58356,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","affiliations":[],"preferred":false,"id":495507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Endris, Charles A.","contributorId":87824,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Eleyne L.","contributorId":104289,"corporation":false,"usgs":true,"family":"Phillips","given":"Eleyne L.","affiliations":[],"preferred":false,"id":495511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartwell, Stephen R.","contributorId":31669,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen R.","affiliations":[],"preferred":false,"id":495505,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495497,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495512,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":495500,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bretz, Carrie K.","contributorId":25472,"corporation":false,"usgs":true,"family":"Bretz","given":"Carrie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495503,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Manson, Michael W.","contributorId":50447,"corporation":false,"usgs":true,"family":"Manson","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495506,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495496,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ross, Stephanie L. 0000-0003-1389-4405 sross@usgs.gov","orcid":"https://orcid.org/0000-0003-1389-4405","contributorId":1024,"corporation":false,"usgs":true,"family":"Ross","given":"Stephanie","email":"sross@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495495,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Dieter, Bryan E.","contributorId":21859,"corporation":false,"usgs":true,"family":"Dieter","given":"Bryan E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495502,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chin, John L.","contributorId":98291,"corporation":false,"usgs":true,"family":"Chin","given":"John L.","affiliations":[],"preferred":false,"id":495510,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":495504,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70117443,"text":"ds871 - 2014 - Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, July 2013","interactions":[],"lastModifiedDate":"2014-09-03T14:20:15","indexId":"ds871","displayToPublicDate":"2014-09-03T14:09:00","publicationYear":"2014","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":"871","title":"Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, July 2013","docAbstract":"

Previous investigations indicate that concentrations of chlorinated volatile organic compounds (CVOCs) are substantial in groundwater beneath the 9-acre former landfill at Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington. The U.S. Geological Survey has continued to monitor groundwater geochemistry to ensure that conditions remain favorable for contaminant biodegradation as specified in the Record of Decision for the site.

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This report presents groundwater geochemical and selected CVOC data collected at Operable Unit 1 by the U.S. Geological Survey during July 9–18, 2013, in support of longterm monitoring for natural attenuation. Groundwater samples were collected from 13 wells and 9 piezometers, as well as from 10 shallow groundwater passive-diffusion sampling sites in the nearby marsh. Samples from all wells and piezometers were analyzed for oxidation-reduction (redox) sensitive constituents and dissolved gases. Samples from all piezometers and four wells also were analyzed for CVOCs, as were all samples from the passive-diffusion sampling sites.

\n
\n

In 2013, concentrations of redox-sensitive constituents measured at all wells and piezometers were consistent with those measured in previous years, with dissolved oxygen concentrations at all except an upgradient well 0.2 milligrams per liter or less; little to no detectable nitrate; abundant dissolved manganese, iron, and methane; and commonly detected sulfide. In the upper aquifer of the northern plantation in 2013, CVOC concentrations at all piezometers were similar to those measured in previous years, and concentrations of the reductive dechlorination byproducts ethane and ethene were slightly lower or the same as concentrations measured in 2012. In the upper aquifer of the southern plantation, CVOC concentrations measured in piezometers during 2013 continued to be variable as in previous years, and often very high, and reductive dechlorination byproducts were detected in two of the three wells and in all but one piezometer. Beneath the marsh adjacent to the southern plantation, chloroethene concentrations measured in 2013 continued to vary spatially and temporaly, and also were very high. Total CVOC concentrations, at what have been historically the most contaminated passive-diffusion sampler sites (S-4, S-4B, S-5, and S-5B) remained elevated. For the intermediate aquifer in 2013, concentrations of reductive dechlorination byproducts ethane and ethene and CVOCs were consistent with those measured in previous years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds871","collaboration":"Prepared in cooperation with Department of the Navy, Naval Facilities Engineering Command, Northwest","usgsCitation":"Huffman, R.L., 2014, Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, July 2013: U.S. Geological Survey Data Series 871, iv, 45 p., https://doi.org/10.3133/ds871.","productDescription":"iv, 45 p.","numberOfPages":"54","onlineOnly":"Y","temporalStart":"2013-07-09","temporalEnd":"2013-07-18","ipdsId":"IP-054013","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":293338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds871.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":293336,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/871/"},{"id":293337,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/871/pdf/ds871.pdf"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.06,47.24 ], [ -123.06,48.14 ], [ -121.75,48.14 ], [ -121.75,47.24 ], [ -123.06,47.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54081d30e4b03a4d430775c1","contributors":{"authors":[{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495993,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70117821,"text":"ds873 - 2014 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2013","interactions":[],"lastModifiedDate":"2021-08-26T14:12:58.688485","indexId":"ds873","displayToPublicDate":"2014-09-03T11:06:00","publicationYear":"2014","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":"873","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2013","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2013","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when treatment and distribution of surface water from the Rio Grande began. A population increase of about 20 percent in the basin from 1990 to 2000 and a 22-percent increase from 2000 to 2010 resulted in an increased demand for water. An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the basin. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2013), the network consists of 123 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the Albuquerque Bernalillo County Water Utility Authority, currently (2013) measures and reports water levels from the 123 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 123 sites through water year 2013.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds873","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2014, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2013 (ver. 1.1, August 2021): U.S. Geological Survey Data Series 873, 40 p., https://doi.org/10.3133/ds873.","productDescription":"iii, 40 p.","numberOfPages":"47","onlineOnly":"Y","temporalStart":"2012-10-01","temporalEnd":"2013-09-30","ipdsId":"IP-056615","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":388352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/873/coverthb.jpg"},{"id":388353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/873/ds873.pdf","text":"Report","size":"6.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 873"},{"id":388354,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/873/versionHist.txt","text":"Version History","size":"536 B","linkFileType":{"id":2,"text":"txt"},"description":"DS 873 Version History"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.52,33.99 ], [ -107.52,35.97 ], [ -106.27,35.97 ], [ -106.27,33.99 ], [ -107.52,33.99 ] ] ] } } ] }","edition":"Version 1.1: August 2021","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2014-09-03","revisedDate":"2021-08-25","noUsgsAuthors":false,"publicationDate":"2014-09-03","publicationStatus":"PW","scienceBaseUri":"54081d31e4b03a4d430775cc","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496109,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}