Hurricane Sandy caused unprecedented damage across some of the most densely populated coastal areas of the northeastern United States. The costly, landscape-altering destruction left in the wake of this storm is a stark reminder of our Nation’s need to become more resilient as we inevitably face future coastal hazards.
\nAs our Nation recovers from this devastating natural disaster, it is clear that accurate scientific information is essential as we seek to identify and develop strategies to address trends in coastal landscape change and reduce our future vulnerability to major storm events. To address this need, the U.S. Geological Survey (USGS) received $43.2 million in supplemental appropriations from the Department of the Interior (DOI) to conduct the scientific research needed to guide response, recovery, and rebuilding activities and to develop effective strategies for protecting coastal communities and resources in the future.
\nThis fact sheet describes how the USGS is combining interdisciplinary science with state-of-the-art technologies to achieve a comprehensive understanding of coastal change caused by Hurricane Sandy. By assessing coastal change impacts through research and by developing tools that enhance our science capabilities, support coastal stakeholders, and facilitate effective decision making, we continue to build a greater understanding of the processes at work across our Nation’s complex coastal environment—from wetlands, estuaries, barrier islands, and nearshore marine areas to infrastructure and human communities. This improved understanding will increase our resilience as we prepare for future short-term, extreme events as well as long-term coastal change.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143062","collaboration":"Science for Safer Communities and Sustainable Resources","usgsCitation":"Simmons, D.L., Andersen, M.E., Dean, T.A., Focazio, M.J., Fulton, J.W., Haines, J.W., Mason, Tihansky, A.B., and Young, J.A., 2014, Using science to strengthen our Nation's resilience to tomorrow's challenges: understanding and preparing for coastal impacts: U.S. Geological Survey Fact Sheet 2014-3062, 6 p., https://doi.org/10.3133/fs20143062.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","costCenters":[{"id":458,"text":"Natural Hazards","active":false,"usgs":true}],"links":[{"id":293838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143062.jpg"},{"id":293836,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3062/"},{"id":293837,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3062/pdf/fs2014-3062.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5417f189e4b09adda0ac198f","contributors":{"authors":[{"text":"Simmons, Dale L. dsimmons@usgs.gov","contributorId":575,"corporation":false,"usgs":true,"family":"Simmons","given":"Dale","email":"dsimmons@usgs.gov","middleInitial":"L.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":501056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":501061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Teresa A. tdean@usgs.gov","contributorId":5694,"corporation":false,"usgs":true,"family":"Dean","given":"Teresa","email":"tdean@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":501063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":501057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":501059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":501055,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":501058,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tihansky, Ann B. tihansky@usgs.gov","contributorId":2477,"corporation":false,"usgs":true,"family":"Tihansky","given":"Ann","email":"tihansky@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":501060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":501062,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70188976,"text":"70188976 - 2014 - Seismic structure of the central US crust and upper mantle: Uniqueness of the Reelfoot Rift","interactions":[],"lastModifiedDate":"2017-06-28T15:06:57","indexId":"70188976","displayToPublicDate":"2014-09-14T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seismic structure of the central US crust and upper mantle: Uniqueness of the Reelfoot Rift","docAbstract":"Using seismic surface waves recorded with Earthscope's Transportable Array, we apply surface wave imaging to determine 3D seismic velocity in the crust and uppermost mantle. Our images span several Proterozoic and early Cambrian rift zones (Mid-Continent Rift, Rough Creek Graben—Rome trough, Birmingham trough, Southern Oklahoma Aulacogen, and Reelfoot Rift). While ancient rifts are generally associated with low crustal velocity because of the presence of thick sedimentary sequences, the Reelfoot Rift is unique in its association with low mantle seismic velocity. Its mantle low-velocity zone (LVZ) is exceptionally pronounced and extends down to at least 200 km depth. This LVZ is of variable width, being relatively narrow (
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 (
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.
\nThis 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":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":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).
\nThis 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.
\nThis 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 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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.
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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":70124919,"text":"70124919 - 2014 - Pesticides in U.S. streams and rivers: occurrence and trends during 1992-2011","interactions":[],"lastModifiedDate":"2018-09-27T10:49:55","indexId":"70124919","displayToPublicDate":"2014-09-12T09:45:00","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":"Pesticides in U.S. streams and rivers: occurrence and trends during 1992-2011","docAbstract":"During the 20 years from 1992 to 2011, pesticides were found at concentrations that exceeded aquatic-life benchmarks in many rivers and streams that drain agricultural, urban, and mixed-land use watersheds. Overall, the proportions of assessed streams with one or more pesticides that exceeded an aquatic-life benchmark were very similar between the two decades for agricultural (69% during 1992−2001 compared to 61% during 2002−2011) and mixed-land-use streams (45% compared to 46%). Urban streams, in contrast, increased from 53% during 1992−2011 to 90% during 2002−2011, largely because of fipronil and dichlorvos. The potential for adverse effects on aquatic life is likely greater than these results indicate because potentially important pesticide compounds were not included in the assessment. Human-health benchmarks were much less frequently exceeded, and during 2002−2011, only one agricultural stream and no urban or mixed-land-use streams exceeded human-health benchmarks for any of the measured pesticides. Widespread trends in pesticide concentrations, some downward and some upward, occurred in response to shifts in use patterns primarily driven by regulatory changes and introductions of new pesticides.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es5025367","usgsCitation":"Stone, W.W., Gilliom, R.J., and Ryberg, K.R., 2014, Pesticides in U.S. streams and rivers: occurrence and trends during 1992-2011: Environmental Science & Technology, v. 48, no. 19, p. 11025-11030, https://doi.org/10.1021/es5025367.","productDescription":"6 p.","startPage":"11025","endPage":"11030","numberOfPages":"6","temporalStart":"1992-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-055809","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":293799,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es5025367"},{"id":293801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"48","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-09-11","publicationStatus":"PW","scienceBaseUri":"5413fd24e4b082fed288b8d1","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":500950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":500948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":500949,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70124520,"text":"70124520 - 2014 - Bird migration and avian influenza: a comparison of hydrogen stable isotopes and satellite tracking methods","interactions":[],"lastModifiedDate":"2017-07-26T17:14:45","indexId":"70124520","displayToPublicDate":"2014-09-12T08:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Bird migration and avian influenza: a comparison of hydrogen stable isotopes and satellite tracking methods","docAbstract":"Satellite-based tracking of migratory waterfowl is an important tool for understanding the potential role of wild birds in the long-distance transmission of highly pathogenic avian influenza. However, employing this technique on a continental scale is prohibitively expensive. This study explores the utility of stable isotope ratios in feathers in examining both the distances traveled by migratory birds and variation in migration behavior. We compared the satellite-derived movement data of 22 ducks from 8 species captured at wintering areas in Bangladesh, Turkey, and Hong Kong with deuterium ratios (δD) in the feathers of these and other individuals captured at the same locations. We derived likely molting locations from the satellite tracking data and generated expected isotope ratios based on an interpolated map of δD in rainwater. Although δD was correlated with the distance between wintering and molting locations, surprisingly, measured δD values were not correlated with either expected values or latitudes of molting sites. However, population-level parameters derived from the satellite-tracking data, such as mean distance between wintering and molting locations and variation in migration distance, were reflected by means and variation of the stable isotope values. Our findings call into question the relevance of the rainfall isotope map for Asia for linking feather isotopes to molting locations, and underscore the need for extensive ground truthing in the form of feather-based isoscapes. Nevertheless, stable isotopes from feathers could inform disease models by characterizing the degree to which regional breeding populations interact at common wintering locations. Feather isotopes also could aid in surveying wintering locations to determine where high-resolution tracking techniques (e.g. satellite tracking) could most effectively be employed. Moreover, intrinsic markers such as stable isotopes offer the only means of inferring movement information from birds that have died as a result of infection. In the absence of feather based-isoscapes, we recommend a combination of isotope analysis and satellite-tracking as the best means of generating aggregate movement data for informing disease models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.04.027","usgsCitation":"Bridge, E., Kelly, J., Xiao, X., Takekawa, J.Y., Hill, N., Yamage, M., Haque, E.U., Islam, M.A., Mundkur, T., Yavuz, K.E., Leader, P., Leung, C.Y., Smith, B., Spragens, K., Vandegrift, K.J., Hosseini, P.R., Saif, S., Mohsanin, S., Mikolon, A., Islam, A., George, A., Sivananinthaperumal, B., Daszak, P., and Newman, S.H., 2014, Bird migration and avian influenza: a comparison of hydrogen stable isotopes and satellite tracking methods: Ecological Indicators, v. 45, p. 266-273, https://doi.org/10.1016/j.ecolind.2014.04.027.","productDescription":"8 p.","startPage":"266","endPage":"273","numberOfPages":"8","ipdsId":"IP-035731","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472764,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4097340","text":"External Repository"},{"id":293794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293780,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2014.04.027"}],"country":"Bangladesh;Hong Kong;Turkey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 30.0,10.0 ], [ 30.0,80.0 ], [ 160.0,80.0 ], [ 160.0,10.0 ], [ 30.0,10.0 ] ] ] } } ] }","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5413fd22e4b082fed288b8bf","contributors":{"authors":[{"text":"Bridge, Eli S.","contributorId":79413,"corporation":false,"usgs":true,"family":"Bridge","given":"Eli S.","affiliations":[],"preferred":false,"id":500859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Jeffrey F.","contributorId":88291,"corporation":false,"usgs":true,"family":"Kelly","given":"Jeffrey F.","affiliations":[],"preferred":false,"id":500864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":500857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Nichola J.","contributorId":30342,"corporation":false,"usgs":true,"family":"Hill","given":"Nichola J.","affiliations":[],"preferred":false,"id":500850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yamage, Mat","contributorId":54912,"corporation":false,"usgs":true,"family":"Yamage","given":"Mat","email":"","affiliations":[],"preferred":false,"id":500853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haque, Enam Ul","contributorId":63741,"corporation":false,"usgs":true,"family":"Haque","given":"Enam","email":"","middleInitial":"Ul","affiliations":[],"preferred":false,"id":500856,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Islam, Mohammad Anwarul","contributorId":16769,"corporation":false,"usgs":true,"family":"Islam","given":"Mohammad","email":"","middleInitial":"Anwarul","affiliations":[],"preferred":false,"id":500849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mundkur, Taej","contributorId":107843,"corporation":false,"usgs":true,"family":"Mundkur","given":"Taej","affiliations":[],"preferred":false,"id":500870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yavuz, Kiraz Erciyas","contributorId":50092,"corporation":false,"usgs":true,"family":"Yavuz","given":"Kiraz","email":"","middleInitial":"Erciyas","affiliations":[],"preferred":false,"id":500852,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leader, Paul","contributorId":89818,"corporation":false,"usgs":true,"family":"Leader","given":"Paul","affiliations":[],"preferred":false,"id":500865,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Leung, Connie Y.H.","contributorId":107627,"corporation":false,"usgs":true,"family":"Leung","given":"Connie","email":"","middleInitial":"Y.H.","affiliations":[],"preferred":false,"id":500869,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Bena","contributorId":72318,"corporation":false,"usgs":true,"family":"Smith","given":"Bena","affiliations":[],"preferred":false,"id":500858,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Spragens, Kyle A.","contributorId":98452,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle A.","affiliations":[],"preferred":false,"id":500867,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vandegrift, Kurt J.","contributorId":84676,"corporation":false,"usgs":true,"family":"Vandegrift","given":"Kurt","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500863,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hosseini, Parviez R.","contributorId":80208,"corporation":false,"usgs":true,"family":"Hosseini","given":"Parviez","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500860,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Saif, Samia","contributorId":12388,"corporation":false,"usgs":true,"family":"Saif","given":"Samia","email":"","affiliations":[],"preferred":false,"id":500848,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mohsanin, Samiul","contributorId":83853,"corporation":false,"usgs":true,"family":"Mohsanin","given":"Samiul","email":"","affiliations":[],"preferred":false,"id":500862,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mikolon, Andrea","contributorId":81036,"corporation":false,"usgs":true,"family":"Mikolon","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":500861,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Islam, Ausrafal","contributorId":36471,"corporation":false,"usgs":true,"family":"Islam","given":"Ausrafal","email":"","affiliations":[],"preferred":false,"id":500851,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"George, Acty","contributorId":59364,"corporation":false,"usgs":true,"family":"George","given":"Acty","email":"","affiliations":[],"preferred":false,"id":500854,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Sivananinthaperumal, Balachandran","contributorId":63518,"corporation":false,"usgs":true,"family":"Sivananinthaperumal","given":"Balachandran","email":"","affiliations":[],"preferred":false,"id":500855,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Daszak, Peter","contributorId":96130,"corporation":false,"usgs":true,"family":"Daszak","given":"Peter","affiliations":[],"preferred":false,"id":500866,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":500868,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"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.
\nThis 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).
\nThis 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.
\nDo 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":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"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":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":70169082,"text":"70169082 - 2014 - Annual variation of spawning Cutthroat Trout in a small Western USA stream: A case study with implications for the conservation of potamodromous trout life history diversity","interactions":[],"lastModifiedDate":"2021-04-26T15:13:59.214378","indexId":"70169082","displayToPublicDate":"2014-09-11T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual variation of spawning Cutthroat Trout in a small Western USA stream: A case study with implications for the conservation of potamodromous trout life history diversity","docAbstract":"Little is known about the variability in the spatial and temporal distribution of spawning potamodromous trout despite decades of research directed at salmonid spawning ecology and the increased awareness that conserving life history diversity should be a focus of management. We monitored a population of fluvial–resident Bonneville Cutthroat Trout Oncorhynchus clarkii utah in a tributary to the Logan River, Utah, from 2006 to 2012 to gain insight into the distribution and timing of spawning and what factors may influence these spawning activities. We monitored Bonneville Cutthroat Trout using redd surveys with multiple observers and georeferenced redd locations. We documented an extended spawning period that lasted from late April to mid‐July. The onset, median, and end of spawning was best predicted by the mean maximum water temperature during the first 13 weeks of the year (F = 130. 4, df = 5, R2 = 0.96, P < 0.0001) with spawning beginning and ending earlier in years that had warmer water temperatures prior to spawning. The distribution of redds was clumped each year and the relative density of redds was greater in a reach dominated by dams constructed by beavers Castor canadensis. Both dam failure and construction appeared to be responsible for creating new spawning habitat that was quickly occupied, demonstrating rapid temporal response to local habitat changes. Bonneville Cutthroat Trout appeared to establish and defend a redd for up to 2 d, and spawning most often occurred between similar‐sized individuals. Spawning surveys for potamodromous trout are an underutilized tool that could be used to better understand the distribution and timing of spawning as well as determine the size and trends of the reproducing portion of populations of management concern. Without efforts to document the diversity of this important aspect of potamodromous trout life history, prioritization of conservation will be problematic.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2014.938139","usgsCitation":"Bennett, S., Al-Chokhachy, R.K., Roper, B.B., and Budy, P., 2014, Annual variation of spawning Cutthroat Trout in a small Western USA stream: A case study with implications for the conservation of potamodromous trout life history diversity: North American Journal of Fisheries Management, v. 34, no. 5, p. 1033-1046, https://doi.org/10.1080/02755947.2014.938139.","productDescription":"14 p.","startPage":"1033","endPage":"1046","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050825","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":318910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Spawn Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.77627563476562,\n 41.712904935827716\n ],\n [\n -111.77627563476562,\n 41.99318090502962\n ],\n [\n -111.41098022460938,\n 41.99318090502962\n ],\n [\n -111.41098022460938,\n 41.712904935827716\n ],\n [\n -111.77627563476562,\n 41.712904935827716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-11","publicationStatus":"PW","scienceBaseUri":"56ea83abe4b0f59b85d90cc5","contributors":{"authors":[{"text":"Bennett, Stephen","contributorId":117583,"corporation":false,"usgs":false,"family":"Bennett","given":"Stephen","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":622825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":622824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roper, Brett B.","contributorId":120701,"corporation":false,"usgs":false,"family":"Roper","given":"Brett","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":622826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":622827,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70124264,"text":"70124264 - 2014 - Evolutionary ecology of resprouting and seeding in fire-prone ecosystems","interactions":[],"lastModifiedDate":"2014-09-11T13:32:15","indexId":"70124264","displayToPublicDate":"2014-09-11T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary ecology of resprouting and seeding in fire-prone ecosystems","docAbstract":"There are two broad mechanisms by which plant populations persist under recurrent disturbances: resprouting from surviving tissues, and seedling recruitment. Species can have one of these mechanisms or both. However, a coherent framework explaining the differential evolutionary pressures driving these regeneration mechanisms is lacking. We propose a bottom-up approach in addressing this question that considers the relative survivorship of adults and juveniles in an evolutionary context, based on two assumptions. First, resprouting and seeding can be interpreted by analogy with annual versus perennial life histories; that is, if we consider disturbance cycles to be analogous to annual cycles, then resprouting species are analogous to the perennial life history with iteroparous reproduction, and obligate seeding species that survive disturbances solely through seed banks are analogous to the annual life history with semelparous reproduction. Secondly, changes in the selective regimes differentially modify the survival rates of adults and juveniles and thus the relative costs and benefits of resprouting versus seeding. Our approach provides a framework for understanding temporal and spatial variation in resprouting and seeding under crown-fire regimes. It accounts for patterns of coexistence and environmental changes that contribute to the evolution of seeding from resprouting ancestors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"New Phytologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/nph.12921","usgsCitation":"Pausas, J.G., and Keeley, J.E., 2014, Evolutionary ecology of resprouting and seeding in fire-prone ecosystems: New Phytologist, v. 204, no. 1, p. 55-65, https://doi.org/10.1111/nph.12921.","productDescription":"11 p.","startPage":"55","endPage":"65","numberOfPages":"11","ipdsId":"IP-056456","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.12921","text":"Publisher Index Page"},{"id":293745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293643,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/nph.12921"}],"volume":"204","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","scienceBaseUri":"5412ab8de4b0239f1986b9e6","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":91347,"corporation":false,"usgs":true,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":500609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500608,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70124259,"text":"70124259 - 2014 - Dynamics of an introduced and unexploited Lake Whitefish population in Lake Pend Oreille, Idaho","interactions":[],"lastModifiedDate":"2016-06-01T14:06:41","indexId":"70124259","displayToPublicDate":"2014-09-11T13:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of an introduced and unexploited Lake Whitefish population in Lake Pend Oreille, Idaho","docAbstract":"To evaluate biological potential of a commercial fishery for an unexploited Lake Whitefish Coregonus clupeaformis population in Lake Pend Oreille, Idaho, we estimated population parameters related to production and yield. The length frequency based on trap-netting in autumn 2005 was normal with a mean of 448 mm TL, whereas the length frequency based on gillnetting in spring 2006 was bimodal with a mean of 390 mm TL. Sex composition was skewed toward females (0.66) during autumn trap-netting. Shape parameters β of weight–length models for females (β = 3.38) and males (β = 3.45) were similar to those of other unexploited populations. Instantaneous growth rates K for females (K = 0.144 per year) and males (K = 0.153 per year) were among the lowest for unexploited populations across the species’ range. Age at 50% maturity (females: 6.5 years; males: 6.0 years) and length at 50% maturity (females: 390 mm TL; males: 378 mm TL) were high for unexploited populations. The natural mortality rate M (0.149 per year, ages 11–36) was among the lowest observed for unexploited populations. Adult population density was lower than that of other populations based on total surface area (mean = 1.35 fish/ha; 95% confidence interval [CI] = 1.11–1.78 fish/ha) but was average based on lake area shallower than 70 m (4.07 fish/ha; 95% CI = 3.35–5.35 fish/ha). Population density of juveniles and adults averaged 84 fish/ha (95% CI = 52–143 fish/ha) over the entire surface area and 278 fish/ha (95% CI = 173–474 fish/ha) over depths shallower than 70 m. The difference between the low M of the unexploited population in Lake Pend Oreille (M = 0.149 per year; annual mortality rate A = 14%) and the high sustainable total mortality Z of exploited stocks in the Laurentian Great Lakes (Z = 1.204; A = 70%) suggests a large scope for sustainable fishing mortality F (1.055 per year; exploitation rate u = 61%) that is equivalent to a sustainable Lake Whitefish harvest of 55,000 individuals (50,000–60,000 individuals) and 49,000 kg (45,000–54,000 kg) from Lake Pend Oreille.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2014.943862","usgsCitation":"Hosack, M.A., Hansen, M.J., and Horner, N.J., 2014, Dynamics of an introduced and unexploited Lake Whitefish population in Lake Pend Oreille, Idaho: North American Journal of Fisheries Management, v. 34, no. 5, p. 1014-1027, https://doi.org/10.1080/02755947.2014.943862.","productDescription":"14 p.","startPage":"1014","endPage":"1027","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057116","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":293743,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.579841,47.948526 ], [ -116.579841,48.323412 ], [ -116.192894,48.323412 ], [ -116.192894,47.948526 ], [ -116.579841,47.948526 ] ] ] } } ] }","volume":"34","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-09-10","publicationStatus":"PW","scienceBaseUri":"5412ab8ce4b0239f1986b9dd","contributors":{"authors":[{"text":"Hosack, Michael A.","contributorId":58952,"corporation":false,"usgs":true,"family":"Hosack","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":500592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horner, Ned J.","contributorId":19488,"corporation":false,"usgs":true,"family":"Horner","given":"Ned","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500593,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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.
\nThis 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":70112900,"text":"ofr20141106 - 2014 - Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River: annual report 2011","interactions":[],"lastModifiedDate":"2014-09-11T15:06:23","indexId":"ofr20141106","displayToPublicDate":"2014-09-11T12:36:00","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":"2014-1106","title":"Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River: annual report 2011","docAbstract":"The Comprehensive Sturgeon Research Project is a multiyear, multiagency collaborative research framework developed to provide information to support pallid sturgeon recovery and Missouri River management decisions. The project strategy integrates field and laboratory studies of sturgeon reproductive ecology, early life history, habitat requirements, and physiology. The project scope of work is developed annually with cooperating research partners and in collaboration with the U.S. Army Corps of Engineers, Missouri River Recovery—Integrated Science Program. The research consists of several interdependent and complementary tasks that engage multiple disciplines.
\nThe research tasks in the 2011 scope of work emphasized understanding of reproductive migrations and spawning of adult sturgeon, and hatch and drift of larvae. These tasks were addressed in three hydrologically and geomorphologically distinct parts of the Missouri River Basin: the Lower Missouri River downstream from Gavins Point Dam, the Upper Missouri River downstream from Fort Peck Dam and including downstream reaches of the Milk River, and the Lower Yellowstone River. The research is designed to inform management decisions related to channel re-engineering, flow modification, and pallid sturgeon population augmentation on the Missouri River, and throughout the range of the species. Research and progress made through this project are reported to the U.S. Army Corps of Engineers annually. This annual report details the research effort and progress made by the Comprehensive Sturgeon Research Project during 2011.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141106","collaboration":"Prepared in cooperation with the Missouri River Recovery–Integrated Science Program, U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Jacobson, R.B., Chojnacki, K.A., Annis, M., Braaten, P., Elliott, C.M., Fuller, D.B., Haas, J.D., Haddix, T.M., Ladd, H.L., McElroy, B.J., Mestl, G.E., Papoulias, D.M., Rhoten, J.C., and Wildhaber, M.L., 2014, Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River: annual report 2011: U.S. Geological Survey Open-File Report 2014-1106, xi, 96 p., https://doi.org/10.3133/ofr20141106.","productDescription":"xi, 96 p.","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-043483","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":293715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141106.jpg"},{"id":293714,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1106/pdf/ofr14-1106.pdf"},{"id":293713,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1106/"}],"scale":"2000000","projection":"Albers Equal Area projection","country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.00,35.00 ], [ -115.00,49.00 ], [ -90.00,49.00 ], [ -90.00,35.00 ], [ -115.00,35.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8ce4b0239f1986b9e1","contributors":{"authors":[{"text":"DeLonay, Aaron J.","contributorId":53360,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Annis, Mandy L.","contributorId":41575,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy L.","affiliations":[],"preferred":false,"id":494889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braaten, P. 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Urban growth and development can have substantial effects on water quality, and streams in Johnson County are affected by nonpoint-source pollutants from stormwater runoff and point-source discharges such as municipal wastewater effluent. Understanding of current (2014) water-quality conditions and the effects of urbanization is critical for the protection and remediation of aquatic resources in Johnson County, Kansas and downstream reaches located elsewhere. The Indian Creek Basin is 194 square kilometers and includes parts of Johnson County, Kansas and Jackson County, Missouri. Approximately 86 percent of the Indian Creek Basin is located in Johnson County, Kansas. The U.S. Geological Survey, in cooperation with Johnson County Wastewater, operated a series of six continuous real-time water-quality monitoring stations in the Indian Creek Basin during June 2011 through May 2013; one of these sites has been operating since February 2004. Five monitoring sites were located on Indian Creek and one site was located on Tomahawk Creek. The purpose of this report is to document regression models that establish relations between continuously measured water-quality properties and discretely collected water-quality constituents. Continuously measured water-quality properties include streamflow, specific conductance, pH, water temperature, dissolved oxygen, turbidity, and nitrate. Discrete water-quality samples were collected during June 2011 through May 2013 at five new sites and June 2004 through May 2013 at a long-term site and analyzed for sediment, nutrients, bacteria, and other water-quality constituents. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to estimate concentrations of those constituents of interest that are not easily measured in real time because of limitations in sensor technology and fiscal constraints. Regression models for 28 water-quality constituents were developed and documented. The water-quality information in this report is important to Johnson County Wastewater because it allows the concentrations of many potential pollutants of interest, including nutrients and sediment, to be estimated in real time and characterized during conditions and time scales that would not be possible otherwise.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141170","collaboration":"Prepared in cooperation with Johnson County Wastewater","usgsCitation":"Stone, M.L., and Graham, J.L., 2014, Model documentation for relations between continuous real-time and discrete water-quality constituents in Indian Creek, Johnson County, Kansas, June 2004 through May 2013: U.S. Geological Survey Open-File Report 2014-1170, Report: xcviii, 71 p.; Downloads Directory, https://doi.org/10.3133/ofr20141170.","productDescription":"Report: xcviii, 71 p.; Downloads Directory","numberOfPages":"169","onlineOnly":"Y","temporalStart":"2004-06-01","temporalEnd":"2013-05-31","ipdsId":"IP-054302","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":293709,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1170/pdf/ofr2014-1170.pdf"},{"id":293710,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1170/downloads/"},{"id":293711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141170.jpg"},{"id":293708,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1170/"}],"scale":"24000","projection":"Albers Conic Equal-Area projection","country":"United States","state":"Kansas","county":"Johnson County","otherGeospatial":"Indian Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.75,38.833333 ], [ -94.75,39.0 ], [ -94.583333,39.0 ], [ -94.583333,38.833333 ], [ -94.75,38.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8de4b0239f1986b9e9","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70124267,"text":"70124267 - 2014 - Abrupt climate-independent fire regime changes","interactions":[],"lastModifiedDate":"2014-09-11T11:33:06","indexId":"70124267","displayToPublicDate":"2014-09-11T11:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Abrupt climate-independent fire regime changes","docAbstract":"Wildfires have played a determining role in distribution, composition and structure of many ecosystems worldwide and climatic changes are widely considered to be a major driver of future fire regime changes. However, forecasting future climatic change induced impacts on fire regimes will require a clearer understanding of other drivers of abrupt fire regime changes. Here, we focus on evidence from different environmental and temporal settings of fire regimes changes that are not directly attributed to climatic changes. We review key cases of these abrupt fire regime changes at different spatial and temporal scales, including those directly driven (i) by fauna, (ii) by invasive plant species, and (iii) by socio-economic and policy changes. All these drivers might generate non-linear effects of landscape changes in fuel structure; that is, they generate fuel changes that can cross thresholds of landscape continuity, and thus drastically change fire activity. Although climatic changes might contribute to some of these changes, there are also many instances that are not primarily linked to climatic shifts. Understanding the mechanism driving fire regime changes should contribute to our ability to better assess future fire regimes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer US","doi":"10.1007/s10021-014-9773-5","usgsCitation":"Pausas, J.G., and Keeley, J.E., 2014, Abrupt climate-independent fire regime changes: Ecosystems, v. 17, no. 6, p. 1109-1120, https://doi.org/10.1007/s10021-014-9773-5.","productDescription":"12 p.","startPage":"1109","endPage":"1120","numberOfPages":"12","ipdsId":"IP-056195","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293647,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-014-9773-5"}],"volume":"17","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-05-15","publicationStatus":"PW","scienceBaseUri":"5412ab88e4b0239f1986b9c7","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":91347,"corporation":false,"usgs":true,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":500616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500615,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70140337,"text":"70140337 - 2014 - The 2013 eruption of Pavlof Volcano, Alaska: a spatter eruption at an ice- and snow-clad volcano","interactions":[],"lastModifiedDate":"2019-03-14T16:43:01","indexId":"70140337","displayToPublicDate":"2014-09-11T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The 2013 eruption of Pavlof Volcano, Alaska: a spatter eruption at an ice- and snow-clad volcano","docAbstract":"The 2013 eruption of Pavlof Volcano, Alaska began on 13 May and ended 49 days later on 1 July. The eruption was characterized by persistent lava fountaining from a vent just north of the summit, intermittent strombolian explosions, and ash, gas, and aerosol plumes that reached as high as 8 km above sea level and on several occasions extended as much as 500 km downwind of the volcano. During the first several days of the eruption, accumulations of spatter near the vent periodically collapsed to form small pyroclastic avalanches that eroded and melted snow and ice to form lahars on the lower north flank of the volcano. Continued lava fountaining led to the production of agglutinate lava flows that extended to the base of the volcano, about 3–4 km beyond the vent. The generation of fountain-fed lava flows was a dominant process during the 2013 eruption; however, episodic collapse of spatter accumulations and formation of hot spatter-rich granular avalanches was a more efficient process for melting snow and ice and initiating lahars. The lahars and ash plumes generated during the eruption did not pose any serious hazards for the area. However, numerous local airline flights were cancelled or rerouted, and trace amounts of ash fall occurred at all of the local communities surrounding the volcano, including Cold Bay, Nelson Lagoon, Sand Point, and King Cove.
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We evaluated stock composition and exploitation of Atlantic salmon in a subsistence fishery in coastal Labrador, Canada using genetic mixture analysis and individual assignment with a microsatellite baseline (15 loci, 11 829 individuals, 12 regional groups) encompassing the species western Atlantic range. Bayesian and maximum likelihood mixture analyses of fishery samples over six years (2006-2011; 1 772 individuals) indicate contributions of adjacent stocks of 96-97%. Estimates of fishery associated exploitation were highest for Labrador salmon (4.2-10.6% per year) and generally < 1% for other regions. Individual assignment of fishery samples indicated non-local contributions to the fishery (e.g., Quebec, Newfoundland) were rare and primarily in southern Labrador, consistent with migration pathways utilizing the Strait of Belle Isle. This work illustrates how genetic analysis of mixed stock Atlantic salmon fisheries in the northwest Atlantic using this new baseline can disentangle exploitation and reveal complex migratory behaviours.
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From 2010 to 2014, a key study area for the USGS CAE initiative has been the Arctic Coastal Plain of northern Alaska. This region has experienced rapid warming during the past 30 years, leading to the thawing of permafrost and changes to lake and river systems. These changes, and projections of continued change, have raised questions about effects on wildlife populations that rely on northern lake ecosystems, such as loons. Loons rely on freshwater lakes for nesting habitat and the fish and invertebrates inhabiting the lakes for food. Loons live within the National Petroleum Reserve-Alaska (NPR-A) on Alaska’s northern coast, where oil and gas development is expected to increase. Research by the USGS examines how breeding loons use the Arctic lake ecosystem and the capacity of loons to adapt to future landscape change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143093","usgsCitation":"Uher-Koch, B.D., Schmutz, J.A., Whalen, M.E., and Pearce, J.M., 2014, Changing Arctic ecosystems: ecology of loons in a changing Arctic: U.S. Geological Survey Fact Sheet 2014-3093, 2 p., https://doi.org/10.3133/fs20143093.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-057819","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":293638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143093.JPG"},{"id":293637,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3093/pdf/fs2014-3093.pdf"},{"id":293628,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3093/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.44,51.21 ], [ 172.44,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.44,51.21 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8ae4b0239f1986b9d1","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":499987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":499989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":499988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":499986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70122769,"text":"fs20143088 - 2014 - Changing Arctic ecosystems: sea ice decline, permafrost thaw, and benefits for geese","interactions":[],"lastModifiedDate":"2018-07-14T13:43:28","indexId":"fs20143088","displayToPublicDate":"2014-09-11T08:47:00","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":"2014-3088","title":"Changing Arctic ecosystems: sea ice decline, permafrost thaw, and benefits for geese","docAbstract":"Through the Changing Arctic Ecosystems (CAE) initiative, the U.S. Geological Survey (USGS) strives to inform resource management decisions for Arctic Alaska by providing scientific information on current and future ecosystem response to a warming climate. 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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. 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Perennial species are poorly adapted to fire in this system, and post-fire shifts in species composition have been substantial but variable across community types. To generalize across a range of conditions, we investigated whether simple life-history traits could predict how species responded to fire. Further, we classified species into plant functional types (PFTs) based on combinations of life-history traits and evaluated whether these groups exhibited a consistent fire-response. Six life-history traits varied significantly between burned and unburned areas in short (up to 4 years) or long-term (up to 52 years) post-fire datasets, including growth form, lifespan, seed size, seed dispersal, height, and leaf longevity. Forbs and grasses consistently increased in abundance after fire, while cacti were reduced and woody species exhibited a variable response. Woody species were classified into three PFTs based on combinations of life-history traits. Species in Group 1 increased in abundance after fire and were characterized by short lifespans, small, wind-dispersed seeds, low height, and deciduous leaves. Species in Group 2 were reduced by fire and distinguished from Group 1 by longer lifespans and evergreen leaves. Group 3 species, which also decreased after fire, were characterized by long lifespans, large non-wind dispersed seeds, and taller heights. Our results show that PFTs based on life-history traits can reliably predict the responses of most species to fire in the Mojave Desert. Dominant, long-lived species of this region possess a combination of traits limiting their ability to recover, presenting a clear example of how a novel disturbance regime may shift selective environmental pressures to favor alternative life-history strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley-Blackwell","doi":"10.1002/ece3.1159","usgsCitation":"Shryock, D.F., DeFalco, L., and Esque, T., 2014, Life-history traits predict perennial species response to fire in a desert ecosystem: Ecology and Evolution, v. 4, no. 15, p. 3046-3059, https://doi.org/10.1002/ece3.1159.","productDescription":"14 p.","startPage":"3046","endPage":"3059","ipdsId":"IP-042561","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472768,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.1159","text":"External Repository"},{"id":293624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293619,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.1159"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9789,34.1607 ], [ -117.9789,37.5219 ], [ -114.7254,37.5219 ], [ -114.7254,34.1607 ], [ -117.9789,34.1607 ] ] ] } } ] }","volume":"4","issue":"15","noUsgsAuthors":false,"publicationDate":"2014-07-10","publicationStatus":"PW","scienceBaseUri":"541157b4e4b0fe7e184a553f","contributors":{"authors":[{"text":"Shryock, Daniel F. dshryock@usgs.gov","contributorId":5139,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel","email":"dshryock@usgs.gov","middleInitial":"F.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeFalco, Lesley A.","contributorId":42270,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[],"preferred":false,"id":500574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":3221,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}