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Such markets are the likely introduction pathway of some, perhaps most, of the five known wild populations of Asian swamp eels present in the continental United States. This paper presents results of a pilot study intended to gather baseline data on the occurrence and abundance of internal macroparasites infecting swamp eels imported from Asia to North American retail food markets. These data are important in assessing the potential role that imported swamp eels may play as possible vectors of non-native parasites. Examination of the gastrointestinal tracts and associated tissues of 19 adult-sized swamp eels—identified as M. albus \"Clade C\"—imported from Vietnam and present in a U.S. retail food market revealed that 18 (95%) contained macroparasites. The 394 individual parasites recovered included a mix of nematodes, acanthocephalans, cestodes, digeneans, and pentastomes. The findings raise concern because of the likelihood that some parasites infecting market swamp eels imported from Asia are themselves Asian taxa, some possibly new to North America. The ecological risk is exacerbated because swamp eels sold in food markets are occasionally retained live by customers and a few reportedly released into the wild. For comparative purposes, M. albus \"Clade C\" swamp eels from a non-native population in Florida (USA) were also examined and most (84%) were found to be infected with internal macroparasites. The current level of analysis does not allow us to confirm whether these are non-native parasites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki, Finland","usgsCitation":"Nico, L.G., Sharp, P., and Collins, T.M., 2011, Imported Asian swamp eels (Synbranchidae: Monopterus) in North American live food markets: Potential vectors of non-native parasites: Aquatic Invasions, v. 6, no. 1, p. 69-76.","productDescription":"8 p.","startPage":"69","endPage":"76","temporalStart":"2003-07-28","temporalEnd":"2003-08-31","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":91762,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.aquaticinvasions.net/2011/issue1.html","linkFileType":{"id":5,"text":"html"}},{"id":203911,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fde4b07f02db5f5efb","contributors":{"authors":[{"text":"Nico, Leo G. 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":2913,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":351267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharp, Paul","contributorId":98598,"corporation":false,"usgs":true,"family":"Sharp","given":"Paul","email":"","affiliations":[],"preferred":false,"id":351269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Timothy M.","contributorId":60760,"corporation":false,"usgs":true,"family":"Collins","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005227,"text":"pp1774 - 2011 - Field evaluation of the error arising from inadequate time averaging in the standard use of depth-integrating suspended-sediment samplers","interactions":[],"lastModifiedDate":"2018-03-21T15:47:50","indexId":"pp1774","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1774","title":"Field evaluation of the error arising from inadequate time averaging in the standard use of depth-integrating suspended-sediment samplers","docAbstract":"Several common methods for measuring suspended-sediment concentration in rivers in the United States use depth-integrating samplers to collect a velocity-weighted suspended-sediment sample in a subsample of a river cross section. Because depth-integrating samplers are always moving through the water column as they collect a sample, and can collect only a limited volume of water and suspended sediment, they collect only minimally time-averaged data. Four sources of error exist in the field use of these samplers: (1) bed contamination, (2) pressure-driven inrush, (3) inadequate sampling of the cross-stream spatial structure in suspended-sediment concentration, and (4) inadequate time averaging. The first two of these errors arise from misuse of suspended-sediment samplers, and the third has been the subject of previous study using data collected in the sand-bedded Middle Loup River in Nebraska. Of these four sources of error, the least understood source of error arises from the fact that depth-integrating samplers collect only minimally time-averaged data. To evaluate this fourth source of error, we collected suspended-sediment data between 1995 and 2007 at four sites on the Colorado River in Utah and Arizona, using a P-61 suspended-sediment sampler deployed in both point- and one-way depth-integrating modes, and D-96-A1 and D-77 bag-type depth-integrating suspended-sediment samplers. These data indicate that the minimal duration of time averaging during standard field operation of depth-integrating samplers leads to an error that is comparable in magnitude to that arising from inadequate sampling of the cross-stream spatial structure in suspended-sediment concentration. This random error arising from inadequate time averaging is positively correlated with grain size and does not largely depend on flow conditions or, for a given size class of suspended sediment, on elevation above the bed. Averaging over time scales >1 minute is the likely minimum duration required to result in substantial decreases in this error. During standard two-way depth integration, a depth-integrating suspended-sediment sampler collects a sample of the water-sediment mixture during two transits at each vertical in a cross section: one transit while moving from the water surface to the bed, and another transit while moving from the bed to the water surface. As the number of transits is doubled at an individual vertical, this error is reduced by ~30 percent in each size class of suspended sediment. For a given size class of suspended sediment, the error arising from inadequate sampling of the cross-stream spatial structure in suspended-sediment concentration depends only on the number of verticals collected, whereas the error arising from inadequate time averaging depends on both the number of verticals collected and the number of transits collected at each vertical. Summing these two errors in quadrature yields a total uncertainty in an equal-discharge-increment (EDI) or equal-width-increment (EWI) measurement of the time-averaged velocity-weighted suspended-sediment concentration in a river cross section (exclusive of any laboratory-processing errors). By virtue of how the number of verticals and transits influences the two individual errors within this total uncertainty, the error arising from inadequate time averaging slightly dominates that arising from inadequate sampling of the cross-stream spatial structure in suspended-sediment concentration. Adding verticals to an EDI or EWI measurement is slightly more effective in reducing the total uncertainty than adding transits only at each vertical, because a new vertical contributes both temporal and spatial information. However, because collection of depth-integrated samples at more transits at each vertical is generally easier and faster than at more verticals, addition of a combination of verticals and transits is likely a more practical approach to reducing the total uncertainty in most field situatio","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1774","usgsCitation":"Topping, D.J., Rubin, D.M., Wright, S., and Melis, T., 2011, Field evaluation of the error arising from inadequate time averaging in the standard use of depth-integrating suspended-sediment samplers: U.S. Geological Survey Professional Paper 1774, vii, 52 p.; Appendices, https://doi.org/10.3133/pp1774.","productDescription":"vii, 52 p.; Appendices","startPage":"i","endPage":"95","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":116977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1774.gif"},{"id":91755,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1774/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,30 ], [ -120,44 ], [ -103,44 ], [ -103,30 ], [ -120,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b4e4b07f02db5caf3b","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":352103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":352102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":352101,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005213,"text":"ds620 - 2011 - Archive of digital Chirp subbottom profile data collected during USGS cruise 08CCT01, Mississippi Gulf Islands, July 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ds620","displayToPublicDate":"2011-08-18T00:00:00","publicationYear":"2011","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":"620","title":"Archive of digital Chirp subbottom profile data collected during USGS cruise 08CCT01, Mississippi Gulf Islands, July 2008","docAbstract":"In July of 2008, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on island framework from Ship Island to Horn Island, Mississippi, for the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project. Funding was provided through the Geologic Framework and Holocene Coastal Evolution of the Mississippi-Alabama Region Subtask (http://ngom.er.usgs.gov/task2_2/index.php); this project is also part of a broader USGS study on Coastal Change and Transport (CCT). This report serves as an archive of unprocessed digital Chirp seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, observer's logbook, and formal Federal Geographic Data Committee (FGDC) metadata. Gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansion of acronyms and abbreviations used in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds620","usgsCitation":"Forde, A.S., Dadisman, S.V., Flocks, J.G., and Worley, C.R., 2011, Archive of digital Chirp subbottom profile data collected during USGS cruise 08CCT01, Mississippi Gulf Islands, July 2008: U.S. Geological Survey Data Series 620, HTML Document, https://doi.org/10.3133/ds620.","productDescription":"HTML Document","temporalStart":"2008-07-01","temporalEnd":"2008-07-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_620.jpg"},{"id":91749,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/620/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Mississippi Gulf Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.66666666666667,29.5 ], [ -89.66666666666667,30.5 ], [ -87.75,30.5 ], [ -87.75,29.5 ], [ -89.66666666666667,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679bfa","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":352071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":352073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":352072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Worley, Charles R. cworley@usgs.gov","contributorId":3063,"corporation":false,"usgs":true,"family":"Worley","given":"Charles","email":"cworley@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":352074,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005217,"text":"ofr20111197 - 2011 - Probability and volume of potential postwildfire debris flows in the 2011 Horseshoe II burn area, southeastern Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ofr20111197","displayToPublicDate":"2011-08-18T00:00:00","publicationYear":"2011","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":"2011-1197","title":"Probability and volume of potential postwildfire debris flows in the 2011 Horseshoe II burn area, southeastern Arizona","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned in 2011 by the Horseshoe II wildfire in southeastern Arizona. Empirical models derived from statistical evaluation of data collected from recently burned drainage basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and debris-flows volumes for selected drainage basins. Input for the models include measures of burn severity, topographic characteristics, soil properties, and rainfall total and intensity for a (1) 2-year-recurrence, 30-minute-duration rainfall, (2) 5-year-recurrence, 30-minute-duration rainfall, and (3) 10-year-recurrence, 30-minute-duration rainfall.\r\n\r\n Estimated debris-flow probabilities in the drainage basins of interest ranged from less than 1 percent in response to the 2-year-recurrence, 30-minute-duration rainfall to a high of 100 percent in response to the 10-year-recurrence, 30-minute-duration rainfall. The high probabilities in all modeled drainage basins are likely due to the abundance of steep hillslopes and the extensive areas burned at moderate to high severities. The estimated debris-flow volumes ranged from a low of 20 cubic meters to a high of greater than 100,000 cubic meters.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111197","usgsCitation":"Ruddy, B.C., 2011, Probability and volume of potential postwildfire debris flows in the 2011 Horseshoe II burn area, southeastern Arizona: U.S. Geological Survey Open-File Report 2011-1197, iv, 10 p., https://doi.org/10.3133/ofr20111197.","productDescription":"iv, 10 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1197.jpg"},{"id":91746,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1197/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.5,31.666666666666668 ], [ -109.5,32.333333333333336 ], [ -109,32.333333333333336 ], [ -109,31.666666666666668 ], [ -109.5,31.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8be4b07f02db651750","contributors":{"authors":[{"text":"Ruddy, Barbara C. bcruddy@usgs.gov","contributorId":4163,"corporation":false,"usgs":true,"family":"Ruddy","given":"Barbara","email":"bcruddy@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":352080,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003903,"text":"70003903 - 2011 - Identifying structural elements needed for development of a predictive life-history model for pallid and shovelnose sturgeons","interactions":[],"lastModifiedDate":"2016-12-02T14:17:28","indexId":"70003903","displayToPublicDate":"2011-08-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying structural elements needed for development of a predictive life-history model for pallid and shovelnose sturgeons","docAbstract":"

Intensive management of the Missouri and Mississippi Rivers has resulted in dramatic changes to the river systems and their biota. These changes have been implicated in the decline of the pallid sturgeon (Scaphirhynchus albus), which has been listed as a United States federal endangered species. The sympatric shovelnose sturgeon (S. platorynchus) is more common and widespread but has also been in decline. The decline of pallid sturgeon is considered symptomatic of poor reproductive success and low or no recruitment. In order to organize information about these species and provide a basis for future development of a predictive model to help guide recovery efforts, we present an expert-vetted, conceptual life-history framework that incorporates the factors that affect reproduction, growth, and survival of shovelnose and pallid sturgeons.

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B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":349410,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simpkins, D.G.","contributorId":80027,"corporation":false,"usgs":true,"family":"Simpkins","given":"D.G.","affiliations":[],"preferred":false,"id":349409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Braaten, P.J.","contributorId":98857,"corporation":false,"usgs":true,"family":"Braaten","given":"P.J.","affiliations":[],"preferred":false,"id":349411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Korschgen, C. E.","contributorId":9197,"corporation":false,"usgs":true,"family":"Korschgen","given":"C.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":349404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mac, M. J.","contributorId":44492,"corporation":false,"usgs":true,"family":"Mac","given":"M. J.","affiliations":[],"preferred":false,"id":349406,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70005221,"text":"ds612 - 2011 - Geospatial Multi-Agency Coordination (GeoMAC) wildland fire perimeters, 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ds612","displayToPublicDate":"2011-08-18T00:00:00","publicationYear":"2011","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":"612","title":"Geospatial Multi-Agency Coordination (GeoMAC) wildland fire perimeters, 2008","docAbstract":"The Geospatial Multi-Agency Coordination (GeoMAC) has been collecting and storing data on wildland fire perimeters since August 2000. The dataset presented via this U.S. Geological Survey Data Series product contains the GeoMAC wildland fire perimeter data for the calendar year 2008, which are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. Wildland fire perimeter data are obtained from the incidents, evaluated for completeness and accuracy, and processed to reflect consistent field names and attributes. After a quality check, the perimeters are loaded to GeoMAC databases, which support the GeoMAC Web application for access by wildland fire managers and the public. The wildland fire perimeters are viewed through the Web application. The data are subsequently archived according to year and state and are made available for downloading through the Internet in shapefile and Keyhole Markup Language (KML) format. These wildland fire perimeter data are also retained for historical, planning, and research purposes. The datasets that pertain to this report can be found on the Rocky Mountain Geographic Science Center HTTP site at http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/. The links are also provided on the sidebar.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds612","usgsCitation":"Walters, S.P., Schneider, N.J., and Guthrie, J.D., 2011, Geospatial Multi-Agency Coordination (GeoMAC) wildland fire perimeters, 2008: U.S. Geological Survey Data Series 612, iv, 6 p.; Metadata; Readme file; DS 612 metadata, https://doi.org/10.3133/ds612.","productDescription":"iv, 6 p.; Metadata; Readme file; DS 612 metadata","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":116883,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_612.jpg"},{"id":91747,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/612/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona;California;Colorado;Idaho;Nevada;New Mexico;Oregon;Utah;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126,33.5 ], [ -126,45.25 ], [ -106.5,45.25 ], [ -106.5,33.5 ], [ -126,33.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b0d3","contributors":{"authors":[{"text":"Walters, Sandra P. spwalters@usgs.gov","contributorId":4477,"corporation":false,"usgs":true,"family":"Walters","given":"Sandra","email":"spwalters@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":352089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, Norma J. njschneider@usgs.gov","contributorId":4476,"corporation":false,"usgs":true,"family":"Schneider","given":"Norma","email":"njschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":352088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guthrie, John D. jdguthrie@usgs.gov","contributorId":2391,"corporation":false,"usgs":true,"family":"Guthrie","given":"John","email":"jdguthrie@usgs.gov","middleInitial":"D.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":352087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036139,"text":"70036139 - 2011 - Structured decision making as a proactive approach to dealing with sea level rise in Florida","interactions":[],"lastModifiedDate":"2020-12-09T17:10:07.424125","indexId":"70036139","displayToPublicDate":"2011-08-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making as a proactive approach to dealing with sea level rise in Florida","docAbstract":"

Sea level rise (SLR) projections along the coast of Florida present an enormous challenge for management and conservation over the long term. Decision makers need to recognize and adopt strategies to adapt to the potentially detrimental effects of SLR. Structured decision making (SDM) provides a rigorous framework for the management of natural resources. The aim of SDM is to identify decisions that are optimal with respect to management objectives and knowledge of the system. Most applications of SDM have assumed that the managed systems are governed by stationary processes. However, in the context of SLR it may be necessary to acknowledge that the processes underlying managed systems may be non-stationary, such that systems will be continuously changing. Therefore, SLR brings some unique considerations to the application of decision theory for natural resource management. In particular, SLR is expected to affect each of the components of SDM. For instance, management objectives may have to be reconsidered more frequently than under more stable conditions. The set of potential actions may also have to be adapted over time as conditions change. Models have to account for the non-stationarity of the modeled system processes. Each of the important sources of uncertainty in decision processes is expected to be exacerbated by SLR. We illustrate our ideas about adaptation of natural resource management to SLR by modeling a non-stationary system using a numerical example. We provide additional examples of an SDM approach for managing species that may be affected by SLR, with a focus on the endangered Florida manatee.

","language":"English","publisher":"Springer Link","doi":"10.1007/s10584-011-0085-x","issn":"01650009","usgsCitation":"Martin, J., Fackler, P., Nichols, J.D., Lubow, B., Eaton, M.J., Runge, M.C., Stith, B., and Langtimm, C.A., 2011, Structured decision making as a proactive approach to dealing with sea level rise in Florida: Climatic Change, v. 107, no. 1, p. 185-202, https://doi.org/10.1007/s10584-011-0085-x.","productDescription":"18 p.","startPage":"185","endPage":"202","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":246392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218390,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0085-x"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":454409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubow, B. C.","contributorId":64603,"corporation":false,"usgs":false,"family":"Lubow","given":"B. C.","affiliations":[],"preferred":false,"id":454414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":454416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":454412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":454413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":454415,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035989,"text":"70035989 - 2011 - Multispecies modeling for adaptive management of horseshoe crabs and red knots in the Delaware Bay","interactions":[],"lastModifiedDate":"2021-01-22T00:11:13.006422","indexId":"70035989","displayToPublicDate":"2011-08-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Multispecies modeling for adaptive management of horseshoe crabs and red knots in the Delaware Bay","docAbstract":"

Adaptive management requires that predictive models be explicit and transparent to improve decisions by comparing management actions, directing further research and monitoring, and facilitating learning. The rufa subspecies of red knots (Calidris canutus rufa), which has recently exhibited steep population declines, relies on horseshoe crab (Limulus polyphemus) eggs as their primary food source during stopover in Delaware Bay during spring migration. We present a model with two different parameterizations for use in the adaptive management of horseshoe crab harvests in the Delaware Bay that links red knot mass gain, annual survival, and fecundity to horseshoe crab dynamics. The models reflect prevailing hypotheses regarding ecological links between these two species. When reported crab harvest from 1998 to 2008 was applied, projections corresponded to the observed red knot population abundances depending on strengths of the demographic relationship between these species. We compared different simulated horseshoe crab harvest strategies to evaluate whether, given this model, horseshoe crab harvest management can affect red knot conservation and found that restricting harvest can benefit red knot populations. Our model is the first to explicitly and quantitatively link these two species and will be used within an adaptive management framework to manage the Delaware Bay system and learn more about the specific nature of the linkage between the two species.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1939-7445.2010.00085.x","usgsCitation":"McGowan, C., Smith, D.R., Sweka, J., Martin, J., Nichols, J.D., Wong, R., Lyons, J.E., Niles, L.J., Kalasz, K., Brust, J., Klopfer, M., and Spear, B., 2011, Multispecies modeling for adaptive management of horseshoe crabs and red knots in the Delaware Bay: Natural Resource Modeling, v. 24, no. 1, p. 117-156, https://doi.org/10.1111/j.1939-7445.2010.00085.x.","productDescription":"40 p.","startPage":"117","endPage":"156","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":244317,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.662841796875,\n 39.614152077002664\n ],\n [\n -75.73974609375,\n 39.27478966170308\n ],\n [\n -75.59692382812499,\n 38.676933444637925\n ],\n [\n -74.94873046875,\n 38.60828592850559\n ],\n [\n -74.542236328125,\n 38.950865400919994\n ],\n [\n -74.8828125,\n 39.342794408952365\n ],\n [\n -75.662841796875,\n 39.614152077002664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-04","publicationStatus":"PW","scienceBaseUri":"505a60a0e4b0c8380cd715ac","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":453495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":453499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweka, J. 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The restoration project is focused on recovery of the endangered Kootenai River white sturgeon (Acipenser transmontanus) population, and simultaneously targets habitat-based recovery of other native river biota. River restoration is a complex undertaking that requires a thorough understanding of the river and floodplain landscape prior to restoration efforts. To assist in evaluating the feasibility of this endeavor, the U.S. Geological Survey developed an updated one-dimensional hydraulic model of the Kootenai River in Idaho between river miles (RMs) 105.6 and 171.9 to characterize the current hydraulic conditions. A previously calibrated model of the study area, based on channel geometry data collected during 2002 and 2003, was the basis for this updated model. New high-resolution bathymetric surveys conducted in the study reach between RMs 138 and 161.4 provided additional detail of channel morphology. A light detection and ranging (LIDAR) survey was flown in the Kootenai River valley in 2005 between RMs 105.6 and 159.5 to characterize the floodplain topography. Six temporary gaging stations installed in 2006-08 between RMs 154.1 and 161.2, combined with five permanent gaging stations in the study reach, provided discharge and water-surface elevations for model calibration and verification. Measured discharges ranging from about 4,800 to 63,000 cubic feet per second (ft3/s) were simulated for calibration events, and calibrated water-surface elevations ranged from about 1,745 to 1,820 feet (ft) throughout the extent of the model. Calibration was considered acceptable when the simulated and measured water-surface elevations at gaging stations differed by less than (+/-)0.15 ft. Model verification consisted of simulating 10 additional events with measured discharges ranging from about 4,900 to 52,000 ft3/s, and comparing simulated and measured water-surface elevations at gaging stations. Average water-surface-elevation error in the verification simulations was 0.05 ft, with the error ranging from -1.17 to 0.94 ft over the range of events and gaging stations. Additional verification included a graphical comparison of measured average velocities that range from 1.0 to 6.2 feet per second to simulated velocities at four sites within the study reach for measured discharges ranging from about 7,400 to 46,600 ft3/s. The availability of high-resolution bathymetric and LIDAR data, along with the additional gaging stations in the study reach, allowed for more detail to be added to the model and a more thorough calibration, sensitivity, and verification analysis to be conducted. Model resolution and performance is most improved between RMs 140 and 160, which includes the 18.3-mile reach of the Kootenai River white sturgeon critical habitat.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115128","collaboration":"Prepared in cooperation with the Kootenai Tribe of Idaho and the Bonneville Power Administration","usgsCitation":"Czuba, C.R., and Barton, G., 2011, Updated one-dimensional hydraulic model of the Kootenai River, Idaho: A supplement to Scientific Investigations Report 2005-5110: U.S. Geological Survey Scientific Investigations Report 2011-5128, vi, 36 p., https://doi.org/10.3133/sir20115128.","productDescription":"vi, 36 p.","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":410515,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95415.htm","linkFileType":{"id":5,"text":"html"}},{"id":91756,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5128/","linkFileType":{"id":5,"text":"html"}},{"id":126232,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5128.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.0453,\n 48.7264\n ],\n [\n -116.2,\n 48.7264\n ],\n [\n -116.2,\n 48.61\n ],\n [\n -116.0453,\n 48.61\n ],\n [\n -116.0453,\n 48.7264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a25e4b07f02db60eb21","contributors":{"authors":[{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":352070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Gary J. gbarton@usgs.gov","contributorId":1147,"corporation":false,"usgs":true,"family":"Barton","given":"Gary J.","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352069,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005161,"text":"ds623 - 2011 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ds623","displayToPublicDate":"2011-08-17T00:00:00","publicationYear":"2011","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":"623","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2010","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25-40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when surface water from the Rio Grande began being treated and integrated into the system. An increase of about 20 percent in the basin human population from 1990 to 2000 and about a 22 percent increase from 2000 to 2010 also resulted in an increased demand for water. A network of wells was established by the U.S. Geological Survey in cooperation with the City of Albuquerque to monitor changes in groundwater levels throughout the basin from April 1982 through September 1983. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2010), the network consists of 124 wells and piezometers (a piezometer is a small-diameter subwell usually nested within a larger well). To better help the Albuquerque Bernalillo County Water Utility Authority manage water use, this report presents water-level data collected by U.S. Geological Survey personnel at those 124 sites through water year 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds623","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2011, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2010: U.S. Geological Survey Data Series 623, vi, 28 p., https://doi.org/10.3133/ds623.","productDescription":"vi, 28 p.","additionalOnlineFiles":"N","temporalEnd":"2010-09-30","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":126231,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_623.jpg"},{"id":91744,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/623/","linkFileType":{"id":5,"text":"html"}}],"state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,34 ], [ -107.5,30.75 ], [ -106,30.75 ], [ -106,34 ], [ -107.5,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e744f","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352030,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034304,"text":"70034304 - 2011 - Estimating age from recapture data: Integrating incremental growth measures with ancillary data to infer age-at-length","interactions":[],"lastModifiedDate":"2021-03-25T20:05:36.36788","indexId":"70034304","displayToPublicDate":"2011-08-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age from recapture data: Integrating incremental growth measures with ancillary data to infer age-at-length","docAbstract":"

Estimating the age of individuals in wild populations can be of fundamental importance for answering ecological questions, modeling population demographics, and managing exploited or threatened species. Significant effort has been devoted to determining age through the use of growth annuli, secondary physical characteristics related to age, and growth models. Many species, however, either do not exhibit physical characteristics useful for independent age validation or are too rare to justify sacrificing a large number of individuals to establish the relationship between size and age. Length‐at‐age models are well represented in the fisheries and other wildlife management literature. Many of these models overlook variation in growth rates of individuals and consider growth parameters as population parameters. More recent models have taken advantage of hierarchical structuring of parameters and Bayesian inference methods to allow for variation among individuals as functions of environmental covariates or individual‐specific random effects. Here, we describe hierarchical models in which growth curves vary as individual‐specific stochastic processes, and we show how these models can be fit using capture–recapture data for animals of unknown age along with data for animals of known age. We combine these independent data sources in a Bayesian analysis, distinguishing natural variation (among and within individuals) from measurement error. We illustrate using data for African dwarf crocodiles, comparing von Bertalanffy and logistic growth models. The analysis provides the means of predicting crocodile age, given a single measurement of head length. The von Bertalanffy was much better supported than the logistic growth model and predicted that dwarf crocodiles grow from 19.4 cm total length at birth to 32.9 cm in the first year and 45.3 cm by the end of their second year. Based on the minimum size of females observed with hatchlings, reproductive maturity was estimated to be at nine years. These size benchmarks are believed to represent thresholds for important demographic parameters; improved estimates of age, therefore, will increase the precision of population projection models. The modeling approach that we present can be applied to other species and offers significant advantages when multiple sources of data are available and traditional aging techniques are not practical.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-0626.1","usgsCitation":"Eaton, M.J., and Link, W.A., 2011, Estimating age from recapture data: Integrating incremental growth measures with ancillary data to infer age-at-length: Ecological Applications, v. 21, no. 7, p. 2487-2497, https://doi.org/10.1890/10-0626.1.","productDescription":"11 p.","startPage":"2487","endPage":"2497","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":244879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Republic of Gabon","otherGeospatial":"Loango National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 9.8382568359375,\n -3.019841106168974\n ],\n [\n 10.5413818359375,\n -2.729070029832631\n ],\n [\n 9.766845703125,\n -1.5653569866197157\n ],\n [\n 9.0692138671875,\n -1.8947961320582758\n ],\n [\n 9.2010498046875,\n -2.1363456335598716\n ],\n [\n 9.8382568359375,\n -3.019841106168974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b09e4b0c8380cd5252c","contributors":{"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":445159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":445158,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036906,"text":"70036906 - 2011 - Analysis of the North American Breeding Bird Survey using hierarchical models","interactions":[],"lastModifiedDate":"2020-12-09T16:44:23.327141","indexId":"70036906","displayToPublicDate":"2011-08-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the North American Breeding Bird Survey using hierarchical models","docAbstract":"

We analyzed population change for 420 bird species from the North American Breeding Bird Survey (BBS) using a hierarchical log-linear model and compared the results with those obtained through route-regression analysis. Survey-wide trend estimates based on the hierarchical model were generally more precise than estimates from the earlier analysis. No consistent pattern of differences existed in the magnitude of trends between the analysis methods. Survey-wide trend estimates changed substantially for 15 species between route-regression and hierarchical-model analyses. We compared regional estimates for states, provinces, and Bird Conservation Regions; differences observed in these regional analyses are likely a consequence of the route-regression procedure's inadequate accommodation of temporal differences in survey effort. We used species-specific hierarchical-model results to estimate composite change for groups of birds associated with major habitats and migration types. Grassland, aridland, and eastern-forest-obligate bird species declined, whereas urban—suburban species increased over the interval 1968–2008. No migration status group experienced significant changes, although Nearctic—Neotropical migrant species showed intervals of decline and permanent resident species increased almost 20% during the interval. Hierarchical-model results better portrayed patterns of population change over time than route-regression results. We recommend use of hierarchical models for BBS analyses.

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Land managers, research scientists, and resource specialists identified common concerns regarding the potential effects of climate change on public lands and natural resources in the Great Basin and Mojave Desert and developed recommendations for mitigation, adaptation, and research needs. Water and, conversely, the effects of drought emerged as a common theme in all breakout sessions on terrestrial and aquatic species at risk, managing across boundaries, monitoring, and ecosystem services. Climate change models for the southwestern deserts predict general warming and drying with increasing precipitation variability year to year. Scientists noted that under these changing conditions the past may no longer be a guide to the future in which managers envision increasing conflicts between human water uses and sustaining ecosystems. Increasing environmental stress also is expected as a consequence of shifting ecosystem boundaries and species distributions, expansion of non-native species, and decoupling of biotic mutualisms, leading to increasingly unstable biologic communities. Managers uniformly expressed a desire to work across management and agency boundaries at a landscape scale but conceded that conflicting agency missions and budgetary constraints often impede collaboration. More and better science is needed to cope with the effects of climate change but, perhaps even more important is the application of science to management issues using the methods of adaptive management based on long-term monitoring to assess the merits of management actions. Access to data is essential for science-based land management. Basic inventories, spatial databases, baseline condition assessments, data quality assurance, and data sharing were identified as top information priorities by all participants at this workshop. 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Implanted transmitters help map the endangered pallid sturgeon","interactions":[],"lastModifiedDate":"2012-02-02T00:15:53","indexId":"70004005","displayToPublicDate":"2011-08-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1748,"text":"GeoWorld","active":true,"publicationSubtype":{"id":10}},"title":"Fish and chips? Implanted transmitters help map the endangered pallid sturgeon","docAbstract":"With a flattened snout, long slender tail and rows of bony plates lining its body, the pallid sturgeon (Scaphirhynchus albus) has a unique, almost pre-historic, appearance. 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April, p. 14-17.","productDescription":"4 p.","startPage":"14","endPage":"17","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":203867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":91739,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.geoplace.com/ME2/dirmod.asp?sid=&nm=&type=MultiPublishing&mod=PublishingTitles&mid=2F0B36C074B04B3DAACB3F3733414366&tier=4&id=A6F854CD565D4550B21250ADECBE1C2C","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Missouri River","issue":"April","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f46ec","contributors":{"authors":[{"text":"Chojnacki, Kimberly","contributorId":96400,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","affiliations":[],"preferred":false,"id":350112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLonay, Aaron","contributorId":49914,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","affiliations":[],"preferred":false,"id":350111,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005189,"text":"ofr20111180 - 2011 - Groundwater quality in the Lake Champlain Basin, New York, 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ofr20111180","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2011","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":"2011-1180","title":"Groundwater quality in the Lake Champlain Basin, New York, 2009","docAbstract":"Water was sampled from 20 production and domestic wells from August through November 2009 to characterize groundwater quality in the Lake Champlain Basin in New York. Of the 20 wells sampled, 8 were completed in sand and gravel, and 12 were completed in bedrock. The samples were collected and processed by standard U.S. Geological Survey procedures and were analyzed for 147 physiochemical properties and constituents, including major ions, nutrients, trace elements, pesticides, volatile organic compounds (VOCs), radionuclides, and indicator bacteria.\n\n Water quality in the study area is generally good, but concentrations of some constituents equaled or exceeded current or proposed Federal or New York State drinking-water standards; these were color (1 sample), pH (3 samples), sodium (3 samples), total dissolved solids (4 samples), iron (4 samples), manganese (3 samples), gross alpha radioactivity (1 sample), radon-222 (10 samples), and bacteria (5 samples). The pH of all samples was typically neutral or slightly basic (median 7.1); the median water temperature was 9.7°C. The ions with the highest median concentrations were bicarbonate [median 158 milligrams per liter (mg/L)] and calcium (median 45.5 mg/L). Groundwater in the study area is soft to very hard, but more samples were hard or very hard (121 mg/L or more as CaCO3) than were moderately hard or soft (120 mg/L or less as CaCO3); the median hardness was 180 mg/L as CaCO3. The maximum concentration of nitrate plus nitrite was 3.79 mg/L as nitrogen, which did not exceed established drinking-water standards for nitrate plus nitrite (10 mg/L as nitrogen). The trace elements with the highest median concentrations were strontium (median 202 micrograms per liter [μg/L]), and iron (median 55 μg/L in unfiltered water). Six pesticides and pesticide degradates, including atrazine, fipronil, disulfoton, prometon, and two pesticide degradates, CIAT and desulfinylfipronil, were detected among five samples at concentrations of 0.02 μg/L or less; they included herbicides, herbicide degradates, insecticides, and insecticide degradates. Six VOCs were detected among six samples; these included a solvent, the gasoline additive methyl tert-butyl ether (MTBE), and four trihalomethanes. The highest radon-222 activities were in samples from crystalline bedrock wells (maximum 4,100 picocuries per liter [pCi/L]); half of all samples exceeded a proposed U.S. Environmental Protection Agency (USEPA) drinking-water standard of 300 pCi/L. Total coliform bacteria were detected in five samples, fecal coliform bacteria were detected in one sample, and Escherichia coli (E. coli) were not detected in any sample.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111180","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Nystrom, E.A., 2011, Groundwater quality in the Lake Champlain Basin, New York, 2009: U.S. Geological Survey Open-File Report 2011-1180, vi, 21 p.; Appendices, https://doi.org/10.3133/ofr20111180.","productDescription":"vi, 21 p.; Appendices","onlineOnly":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116873,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1180.JPG"},{"id":24577,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1180/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator","country":"United States","state":"New York","county":"Clinton;Essex;Franklin;Warren;Washington","otherGeospatial":"Lake Champlain Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.5,43 ], [ -74.5,45 ], [ -73,45 ], [ -73,43 ], [ -74.5,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a95e4b07f02db659f5a","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352054,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003980,"text":"70003980 - 2011 - Fire and vegetation shifts in the Americas at the vanguard of Paleoindian migration","interactions":[],"lastModifiedDate":"2021-05-20T21:59:53.553036","indexId":"70003980","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Fire and vegetation shifts in the Americas at the vanguard of Paleoindian migration","docAbstract":"Across North and South America, the final millennia of the Pleistocene saw dramatic changes in climate, vegetation, fauna, fire regime, and other local and regional paleo-environmental characteristics. Rapid climate shifts following the Last Glacial Maximum (LGM) exerted a first-order influence, but abrupt postglacial shifts in vegetation composition, vegetation structure, and fire regime also coincided with human arrival and transformative faunal extinctions in the Americas. We propose a model of post-glacial vegetation change in response to climatic drivers, punctuated by local fire regime shifts in response to megaherbivore-driven fuel changes and anthropogenic ignitions. The abrupt appearance of humans, disappearance of megaherbivores, and resulting changes in New World fire systems were transformative events that should not be dismissed in favor of climate-only interpretations of post-glacial paleo-environmental shifts in the Americas. Fire is a mechanism by which small human populations can have broad impacts, and growing evidence suggests that early anthropogenic influences on regional, even global, paleo-environments should be tested alongside other potential causal mechanisms.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.quascirev.2010.12.010","usgsCitation":"Pinter, N., Fiedel, S., and Keeley, J.E., 2011, Fire and vegetation shifts in the Americas at the vanguard of Paleoindian migration: Quaternary Science Reviews, v. 30, no. 3-4, p. 269-272, https://doi.org/10.1016/j.quascirev.2010.12.010.","productDescription":"4 p.","startPage":"269","endPage":"272","numberOfPages":"4","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":156990,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f1e4b07f02db5ee8ef","contributors":{"authors":[{"text":"Pinter, N.","contributorId":73721,"corporation":false,"usgs":true,"family":"Pinter","given":"N.","email":"","affiliations":[],"preferred":false,"id":350015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiedel, S.","contributorId":20614,"corporation":false,"usgs":true,"family":"Fiedel","given":"S.","email":"","affiliations":[],"preferred":false,"id":350013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":350014,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003790,"text":"70003790 - 2011 - Field Reconnaissance Geologic Mapping of the Columbia Hills, Mars: Results from MER Spirit and MRO HiRISE Observations","interactions":[],"lastModifiedDate":"2013-02-23T22:17:21","indexId":"70003790","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Field Reconnaissance Geologic Mapping of the Columbia Hills, Mars: Results from MER Spirit and MRO HiRISE Observations","docAbstract":"Chemical, mineralogic, and lithologic ground truth was acquired for the first time on Mars in terrain units mapped using orbital Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (MRO HiRISE) image data. Examination of several dozen outcrops shows that Mars is geologically complex at meter length scales, the record of its geologic history is well exposed, stratigraphic units may be identified and correlated across significant areas on the ground, and outcrops and geologic relationships between materials may be analyzed with techniques commonly employed in terrestrial field geology. Despite their burial during the course of Martian geologic time by widespread epiclastic materials, mobile fines, and fall deposits, the selective exhumation of deep and well-preserved geologic units has exposed undisturbed outcrops, stratigraphic sections, and structural information much as they are preserved and exposed on Earth. A rich geologic record awaits skilled future field investigators on Mars. The correlation of ground observations and orbital images enables construction of a corresponding geologic reconnaissance map. Most of the outcrops visited are interpreted to be pyroclastic, impactite, and epiclastic deposits overlying an unexposed substrate, probably related to a modified Gusev crater central peak. Fluids have altered chemistry and mineralogy of these protoliths in degrees that vary substantially within the same map unit. Examination of the rocks exposed above and below the major unconformity between the plains lavas and the Columbia Hills directly confirms the general conclusion from remote sensing in previous studies over past years that the early history of Mars was a time of more intense deposition and modification of the surface. Although the availability of fluids and the chemical and mineral activity declined from this early period, significant later volcanism and fluid convection enabled additional, if localized, chemical activity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JE003749","usgsCitation":"Crumpler, L., Arvidson, R., Squyres, S.W., McCoy, T., Yingst, A., Ruff, S., Farrand, W., McSween, Y., Powell, M., Ming, D.W., Morris, R., Bell, J., Grant, J., Greeley, R., DesMarais, D., Schmidt, M., Cabrol, N., Haldemann, A., Lewis, K.W., Wang, A., Schroder, C., Blaney, D., Cohen, B., Yen, A., Farmer, J., Gellert, R., Guinness, E., Herkenhoff, K.E., Johnson, J.R., Klingelhofer, G., McEwen, A., Rice, J.W., Rice, M., deSouza, P., and Hurowitz, J., 2011, Field Reconnaissance Geologic Mapping of the Columbia Hills, Mars: Results from MER Spirit and MRO HiRISE Observations: Journal of Geophysical Research E: Planets, v. 116, no. E7, p. E00F24-E00F24, https://doi.org/10.1029/2010JE003749.","productDescription":"55 p.","startPage":"E00F24","endPage":"E00F24","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":474934,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1893/17121","text":"External Repository"},{"id":268071,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003749"},{"id":203947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"116","issue":"E7","noUsgsAuthors":false,"publicationDate":"2011-07-06","publicationStatus":"PW","scienceBaseUri":"4f4e49fce4b07f02db5f5b4a","contributors":{"authors":[{"text":"Crumpler, L.S.","contributorId":81575,"corporation":false,"usgs":true,"family":"Crumpler","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":348877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":348864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, T.","contributorId":56776,"corporation":false,"usgs":true,"family":"McCoy","given":"T.","email":"","affiliations":[],"preferred":false,"id":348867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yingst, A.","contributorId":37049,"corporation":false,"usgs":true,"family":"Yingst","given":"A.","email":"","affiliations":[],"preferred":false,"id":348858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruff, S.","contributorId":104610,"corporation":false,"usgs":true,"family":"Ruff","given":"S.","affiliations":[],"preferred":false,"id":348882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farrand, W.","contributorId":32661,"corporation":false,"usgs":true,"family":"Farrand","given":"W.","affiliations":[],"preferred":false,"id":348856,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McSween, Y.","contributorId":40716,"corporation":false,"usgs":true,"family":"McSween","given":"Y.","email":"","affiliations":[],"preferred":false,"id":348860,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powell, M.","contributorId":32282,"corporation":false,"usgs":true,"family":"Powell","given":"M.","email":"","affiliations":[],"preferred":false,"id":348854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ming, D. W.","contributorId":96811,"corporation":false,"usgs":true,"family":"Ming","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348879,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morris, R.V.","contributorId":6978,"corporation":false,"usgs":true,"family":"Morris","given":"R.V.","affiliations":[],"preferred":false,"id":348849,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":348881,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grant, J.","contributorId":53929,"corporation":false,"usgs":true,"family":"Grant","given":"J.","affiliations":[],"preferred":false,"id":348866,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Greeley, R.","contributorId":6538,"corporation":false,"usgs":true,"family":"Greeley","given":"R.","email":"","affiliations":[],"preferred":false,"id":348848,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"DesMarais, D.","contributorId":96814,"corporation":false,"usgs":true,"family":"DesMarais","given":"D.","email":"","affiliations":[],"preferred":false,"id":348880,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schmidt, M.","contributorId":11746,"corporation":false,"usgs":true,"family":"Schmidt","given":"M.","affiliations":[],"preferred":false,"id":348850,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cabrol, N.A.","contributorId":65208,"corporation":false,"usgs":true,"family":"Cabrol","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":348871,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Haldemann, A.","contributorId":96401,"corporation":false,"usgs":true,"family":"Haldemann","given":"A.","affiliations":[],"preferred":false,"id":348878,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lewis, Kevin W.","contributorId":42337,"corporation":false,"usgs":true,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348863,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wang, A.E.","contributorId":62730,"corporation":false,"usgs":true,"family":"Wang","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":348870,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Schroder, C.","contributorId":67201,"corporation":false,"usgs":true,"family":"Schroder","given":"C.","affiliations":[],"preferred":false,"id":348872,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Blaney, D.","contributorId":72513,"corporation":false,"usgs":true,"family":"Blaney","given":"D.","email":"","affiliations":[],"preferred":false,"id":348874,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Cohen, B.","contributorId":41954,"corporation":false,"usgs":true,"family":"Cohen","given":"B.","affiliations":[],"preferred":false,"id":348862,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Yen, A.","contributorId":76054,"corporation":false,"usgs":true,"family":"Yen","given":"A.","affiliations":[],"preferred":false,"id":348875,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Farmer, J.","contributorId":26419,"corporation":false,"usgs":true,"family":"Farmer","given":"J.","email":"","affiliations":[],"preferred":false,"id":348852,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":348857,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Guinness, E.A.","contributorId":78070,"corporation":false,"usgs":true,"family":"Guinness","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":348876,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Herkenhoff, K. E.","contributorId":57959,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":348869,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348873,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Klingelhofer, G.","contributorId":57195,"corporation":false,"usgs":true,"family":"Klingelhofer","given":"G.","email":"","affiliations":[],"preferred":false,"id":348868,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"McEwen, A.","contributorId":39105,"corporation":false,"usgs":true,"family":"McEwen","given":"A.","affiliations":[],"preferred":false,"id":348859,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Rice, J. W. Jr.","contributorId":53040,"corporation":false,"usgs":true,"family":"Rice","given":"J.","suffix":"Jr.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348865,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Rice, M.","contributorId":32283,"corporation":false,"usgs":true,"family":"Rice","given":"M.","affiliations":[],"preferred":false,"id":348855,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"deSouza, P.","contributorId":41126,"corporation":false,"usgs":true,"family":"deSouza","given":"P.","email":"","affiliations":[],"preferred":false,"id":348861,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Hurowitz, J.","contributorId":17742,"corporation":false,"usgs":true,"family":"Hurowitz","given":"J.","email":"","affiliations":[],"preferred":false,"id":348851,"contributorType":{"id":1,"text":"Authors"},"rank":35}]}} ,{"id":70157328,"text":"70157328 - 2011 - Timing constraints on remote sensing of wildland fire burned area in the southeastern US","interactions":[],"lastModifiedDate":"2017-04-25T16:35:32","indexId":"70157328","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Timing constraints on remote sensing of wildland fire burned area in the southeastern US","docAbstract":"

Remote sensing using Landsat Thematic Mapper (TM) satellite imagery is increasingly used for mapping wildland fire burned area and burn severity, owing to its frequency of collection, relatively high resolution, and availability free of charge. However, rapid response of vegetation following fire and frequent cloud cover pose challenges to this approach in the southeastern US. We assessed these timing constraints by using a series of Landsat TM images to determine how rapidly the remotely sensed burn scar signature fades following prescribed burns in wet flatwoods and depression swamp community types in the Apalachicola National Forest, Florida, USA during 2006. We used both the Normalized Burn Ratio (NBR) of reflectance bands sensitive to vegetation and exposed soil cover, as well as the change in NBR from before to after fire (dNBR), to estimate burned area. We also determined the average and maximum amount of time following fire required to obtain a cloud-free image for burns in each month of the year, as well as the predicted effect of this time lag on percent accuracy of burn scar estimates. Using both NBR and dNBR, the detectable area decreased linearly 9% per month on average over the first four months following fire. Our findings suggest that the NBR and dNBR methods for monitoring burned area in common southeastern US vegetation community types are limited to an average of 78–90% accuracy among months of the year, with individual burns having values as low as 38%, if restricted to use of Landsat 5 TM imagery. However, the majority of burns can still be mapped at accuracies similar to those in other regions of the US, and access to additional sources of satellite imagery would improve overall accuracy.

","language":"English","publisher":"MDPI","doi":"10.3390/rs3081680","usgsCitation":"Picotte, J.J., and Robertson, K., 2011, Timing constraints on remote sensing of wildland fire burned area in the southeastern US: Remote Sensing, v. 3, no. 8, p. 1680-1690, https://doi.org/10.3390/rs3081680.","productDescription":"11 p.","startPage":"1680","endPage":"1690","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029374","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs3081680","text":"Publisher Index Page"},{"id":308290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-08-15","publicationStatus":"PW","scienceBaseUri":"55fd35c1e4b05d6c4e502c85","contributors":{"authors":[{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":572701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Kevin","contributorId":147774,"corporation":false,"usgs":false,"family":"Robertson","given":"Kevin","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":572702,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005188,"text":"sir20115076 - 2011 - Developmental rate and behavior of early life stages of bighead carp and silver carp","interactions":[],"lastModifiedDate":"2016-11-10T16:27:33","indexId":"sir20115076","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5076","title":"Developmental rate and behavior of early life stages of bighead carp and silver carp","docAbstract":"The early life stages of Asian carp are well described by Yi and others (1988), but since these descriptions are represented by line drawings based only on live individuals and lacked temperature controls, further information on developmental time and stages is of use to expand understanding of early life stages of these species. Bighead carp and silver carp were cultured under two different temperature treatments to the one-chamber gas bladder stage, and a photographic guide is provided for bighead carp and silver carp embryonic and larval development, including notes about egg morphology and larval swimming behavior. Preliminary information on developmental time and hourly thermal units for each stage is also provided. Both carp species developed faster under warmer conditions. Developmental stages and behaviors are generally consistent with earlier works with the exception that strong vertical swimming immediately after hatching was documented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115076","usgsCitation":"Chapman, D., and George, A.E., 2011, Developmental rate and behavior of early life stages of bighead carp and silver carp: U.S. Geological Survey Scientific Investigations Report 2011-5076, Report: vi, 10 p.; Appendices, https://doi.org/10.3133/sir20115076.","productDescription":"Report: vi, 10 p.; Appendices","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":116083,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5076.jpg"},{"id":24576,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5076/","linkFileType":{"id":5,"text":"html"}},{"id":330957,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5076/pdf/SIR11-5076_full_report.pdf","text":"Full Report","size":"8.49 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":330958,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5076/pdf/sir11-5076_body-only.pdf","text":"Report text only","size":"809 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":330959,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5076/pdf/Appendix_2.pdf","text":"Appendix 2","size":"3.56 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":330960,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5076/pdf/Appendix_1.pdf","text":"Appendix 1","size":"3.69 KB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65dd2e","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":352052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352053,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005168,"text":"70005168 - 2011 - Critical tissue residue approach linking accumulated metals in aquatic insects to population and community-level effects","interactions":[],"lastModifiedDate":"2021-02-23T15:54:50.021691","indexId":"70005168","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2011","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":"Critical tissue residue approach linking accumulated metals in aquatic insects to population and community-level effects","docAbstract":"

Whole body Zn concentrations in individuals (n = 825) from three aquatic insect taxa (mayflies Rhithrogena spp. and Drunella spp. and the caddisfly Arctopsyche grandis) were used to predict effects on populations and communities (n = 149 samples). Both mayflies accumulated significantly more Zn than the caddisfly. The presence/absence of Drunella spp. most reliably distinguished sites with low and high Zn concentrations; however, population densities of mayflies were more sensitive to increases in accumulated Zn. Critical tissue residues (634 μg/g Zn for Drunella spp. and 267 μg/g Zn for Rhithrogena spp.) caused a 20% reduction in maximum (90th quantile) mayfly densities. These critical tissue residues were associated with exposure to 7.0 and 3.9 μg/L dissolved Zn for Drunella spp. and Rhithrogena spp., respectively. A threshold in a measure of taxonomic completeness (observed/expected) was observed at 5.4 μg/L dissolved Zn. Dissolved Zn concentrations associated with critical tissue residues in mayflies were also associated with adverse effects in the aquatic community as a whole. These effects on populations and communities occurred at Zn concentrations below the U.S. EPA hardness-adjusted continuous chronic criterion.

","language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, D.C.","doi":"10.1021/es200215s","usgsCitation":"Schmidt, T., Clements, W.H., Zuellig, R.E., Mitchell, K.A., Church, S.E., Wanty, R.B., San Juan, C.A., Adams, M., and Lamothe, P.J., 2011, Critical tissue residue approach linking accumulated metals in aquatic insects to population and community-level effects: Environmental Science & Technology, v. 45, no. 16, p. 7004-7010, https://doi.org/10.1021/es200215s.","productDescription":"7 p.","startPage":"7004","endPage":"7010","numberOfPages":"7","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203948,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"16","noUsgsAuthors":false,"publicationDate":"2011-07-27","publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db6808b9","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":352041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":352043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Katharine A.","contributorId":59546,"corporation":false,"usgs":true,"family":"Mitchell","given":"Katharine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":352044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":352037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":352036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":352038,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":352039,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":352040,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70209191,"text":"70209191 - 2011 - Rotational motions for teleseismic surface waves","interactions":[],"lastModifiedDate":"2020-03-23T09:40:15","indexId":"70209191","displayToPublicDate":"2011-08-11T09:37:05","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rotational motions for teleseismic surface waves","docAbstract":"

[1] We report the findings for the first teleseismic six degree‐of‐freedom (6‐DOF) measurements including three components of rotational motions recorded by a sensitive rotation‐rate sensor (model R‐1, made by eentec) and three components of translational motions recorded by a traditional seismometer (STS‐2) at the NACB station in Taiwan. The consistent observations in waveforms of rotational motions and translational motions in sections of Rayleigh and Love waves are presented in reference to the analytical solution for these waves in a half space of Poisson solid. We show that additional information (e.g., Rayleigh wave phase velocity, shear wave velocity of the surface layer) might be exploited from six degree‐of‐freedom recordings of teleseismic events at only one station. We also find significant errors in the translational records of these teleseismic surface waves due to the sensitivity of inertial translation sensors (seismometers) to rotational motions. The result suggests that the effects of such errors need to be counted in surface wave inversions commonly used to derive earthquake source parameters and Earth structure.

","language":"English","publisher":"Wiley","doi":"10.1029/2011GL047959","usgsCitation":"Lin, C., Huang, H., Pham, N.D., Liu, C., Chi, W., and Lee, W., 2011, Rotational motions for teleseismic surface waves: Geophysical Research Letters, v. 38, no. 15, 5 p., https://doi.org/10.1029/2011GL047959.","productDescription":"5 p.","costCenters":[],"links":[{"id":474938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl047959","text":"Publisher Index Page"},{"id":373436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"15","noUsgsAuthors":false,"publicationDate":"2011-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lin, Chin-Jen","contributorId":199136,"corporation":false,"usgs":false,"family":"Lin","given":"Chin-Jen","email":"","affiliations":[],"preferred":false,"id":785306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, H.","contributorId":18571,"corporation":false,"usgs":true,"family":"Huang","given":"H.","email":"","affiliations":[],"preferred":false,"id":785307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pham, Nguyen Dinh","contributorId":223517,"corporation":false,"usgs":false,"family":"Pham","given":"Nguyen","email":"","middleInitial":"Dinh","affiliations":[],"preferred":false,"id":785308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Chun-Chi","contributorId":75240,"corporation":false,"usgs":true,"family":"Liu","given":"Chun-Chi","email":"","affiliations":[],"preferred":false,"id":785309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chi, Wu-Cheng","contributorId":26148,"corporation":false,"usgs":true,"family":"Chi","given":"Wu-Cheng","email":"","affiliations":[],"preferred":false,"id":785310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, W.H.K.","contributorId":35303,"corporation":false,"usgs":true,"family":"Lee","given":"W.H.K.","affiliations":[],"preferred":false,"id":785311,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70005891,"text":"70005891 - 2011 - Cornus sericea (redosier dogwood)","interactions":[],"lastModifiedDate":"2021-08-11T12:53:39.97144","indexId":"70005891","displayToPublicDate":"2011-08-11T07:52:39","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Cornus sericea (redosier dogwood)","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Invasive Species Compendium","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"C.A.B. International","usgsCitation":"Middleton, B.A., 2011, Cornus sericea (redosier dogwood), chap. of Invasive Species Compendium, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-016731","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":387843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387842,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.cabi.org/isc/datasheet/16312"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":821045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}