{"pageNumber":"1928","pageRowStart":"48175","pageSize":"25","recordCount":184617,"records":[{"id":70046980,"text":"70046980 - 2010 - Appraising U.S. Geological Survey science records","interactions":[],"lastModifiedDate":"2018-01-02T20:15:54","indexId":"70046980","displayToPublicDate":"2010-01-01T13:18:13","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":884,"text":"Archival Issues","printIssn":"1067-4993","active":true,"publicationSubtype":{"id":10}},"title":"Appraising U.S. Geological Survey science records","docAbstract":"

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has legislative charters to preserve and make accessible land remote sensing records important to the United States. This essay explains the appraisal process developed by EROS to ensure the science records it holds and those offered to it align with those charters. The justifications behind the questions employed to weed and to complement the EROS archive are explained along with the literature reviewed supporting their inclusion. Appraisal results are listed by individual collection and include the recommendations accepted by EROS management.

","language":"English","publisher":"Midwest Archives Conference","usgsCitation":"Faundeen, J., 2010, Appraising U.S. Geological Survey science records: Archival Issues, v. 32, no. 1, p. 7-22.","productDescription":"16 p.","startPage":"7","endPage":"22","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":274880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350282,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/41102168"}],"country":"United States","volume":"32","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfd3e0e4b0d332bf22f359","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":480790,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70236424,"text":"70236424 - 2010 - Temporal variations in arsenic and 3H/3He ages of groundwater from West Bengal, and their implications","interactions":[],"lastModifiedDate":"2022-09-06T18:35:32.909723","indexId":"70236424","displayToPublicDate":"2010-01-01T13:05:20","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Temporal variations in arsenic and 3H/3He ages of groundwater from West Bengal, and their implications","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arsenic in geosphere and human diseases","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Third International Congress on Arsenic in the Environment","conferenceDate":"May 17-21, 2010","conferenceLocation":"Tainan, Taiwan","language":"English","publisher":"Taylor & Francis","doi":"10.1201/b10548-56","usgsCitation":"McArthur, J., Banerjee, D.M., Sengupta, S., Sarkar, A., Ravenscroft, P., Klump, S., Kipfer, R., and Disch, B., 2010, Temporal variations in arsenic and 3H/3He ages of groundwater from West Bengal, and their implications, 2 p., https://doi.org/10.1201/b10548-56.","productDescription":"2 p.","costCenters":[],"links":[{"id":406251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"West Bengal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": 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M.","contributorId":296230,"corporation":false,"usgs":false,"family":"Banerjee","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":850956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sengupta, S.","contributorId":296231,"corporation":false,"usgs":false,"family":"Sengupta","given":"S.","email":"","affiliations":[],"preferred":false,"id":850957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sarkar, A.","contributorId":296232,"corporation":false,"usgs":false,"family":"Sarkar","given":"A.","email":"","affiliations":[],"preferred":false,"id":850958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ravenscroft, P.","contributorId":296233,"corporation":false,"usgs":false,"family":"Ravenscroft","given":"P.","email":"","affiliations":[],"preferred":false,"id":850959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klump, S.","contributorId":296234,"corporation":false,"usgs":false,"family":"Klump","given":"S.","email":"","affiliations":[],"preferred":false,"id":850960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kipfer, R.","contributorId":296235,"corporation":false,"usgs":false,"family":"Kipfer","given":"R.","email":"","affiliations":[],"preferred":false,"id":850961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Disch, B.","contributorId":296236,"corporation":false,"usgs":false,"family":"Disch","given":"B.","email":"","affiliations":[],"preferred":false,"id":850962,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70154875,"text":"70154875 - 2010 - Survival of shovelnose sturgeon after abdominally invasive endoscopic evaluation","interactions":[],"lastModifiedDate":"2015-07-10T11:49:48","indexId":"70154875","displayToPublicDate":"2010-01-01T13:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival of shovelnose sturgeon after abdominally invasive endoscopic evaluation","docAbstract":"

The development of effective and minimally invasive techniques to determine gender and gonad developmental stage is particularly important in performing accurate fisheries assessments for use in conservation and restoration. The initial and latent survival of shovelnose sturgeon Scaphirhynchus platorynchus was assessed after exposure to a modified endoscopic technique designed to collect that biological information. Rather than inserting the endoscope through the urogenital canal or directly into the body cavity, we inserted a threaded trocar through a ventral incision and used a low-pressure air supply attached to the trocar to gently insufflate the body cavity. The initial survival of both experimental and control shovelnose sturgeon was 100%. Latent survival was 100% and 90% for the experimental and control fish, respectively. Our study suggests that incision endoscopy coupled with insufflation of the body cavity through the use of a trocar and an air supply is a safe and effective way to determine gender and examine the gonad developmental stage of shovelnose sturgeon. The short duration of the procedure and the high postprocedure survival suggest that this technique is suitable for shovelnose sturgeon and perhaps for the evaluation of other endangered fish species (e.g., pallid sturgeon S. alba) as well.

","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1577/M09-125.1","usgsCitation":"Trested, D., Goforth, R.R., Kirk, J., and Isely, J.J., 2010, Survival of shovelnose sturgeon after abdominally invasive endoscopic evaluation: North American Journal of Fisheries Management, v. 30, no. 1, p. 121-125, https://doi.org/10.1577/M09-125.1.","productDescription":"5 p.","startPage":"121","endPage":"125","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017347","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-01","publicationStatus":"PW","scienceBaseUri":"55a0ecb5e4b0183d66e4304d","contributors":{"authors":[{"text":"Trested, D.G.","contributorId":98093,"corporation":false,"usgs":true,"family":"Trested","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":564302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goforth, Reuben R.","contributorId":96169,"corporation":false,"usgs":true,"family":"Goforth","given":"Reuben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, J.P.","contributorId":99744,"corporation":false,"usgs":true,"family":"Kirk","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":564620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":564621,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70154876,"text":"70154876 - 2010 - Disease limits populations: plague and black-tailed prairie dogs","interactions":[],"lastModifiedDate":"2015-07-10T11:54:09","indexId":"70154876","displayToPublicDate":"2010-01-01T13:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Disease limits populations: plague and black-tailed prairie dogs","docAbstract":"

Plague is an exotic vector-borne disease caused by the bacterium Yersinia pestis that causes mortality rates approaching 100% in black-tailed prairie dogs (Cynomys ludovicianus). We mapped the perimeter of the active portions of black-tailed prairie dog colonies annually between 1999 and 2005 at four prairie dog colony complexes in areas with a history of plague, as well as at two complexes that were located outside the distribution of plague at the time of mapping and had therefore never been affected by the disease. We hypothesized that the presence of plague would significantly reduce overall black-tailed prairie dog colony area, reduce the sizes of colonies on these landscapes, and increase nearest-neighbor distances between colonies. Within the region historically affected by plague, individual colonies were smaller, nearest-neighbor distances were greater, and the proportion of potential habitat occupied by active prairie dog colonies was smaller than at plague-free sites. Populations that endured plague were composed of fewer large colonies (>100 ha) than populations that were historically plague free. We suggest that these differences among sites in colony size and isolation may slow recolonization after extirpation. At the same time, greater intercolony distances may also reduce intercolony transmission of pathogens. Reduced transmission among smaller and more distant colonies may ultimately enhance long-term prairie dog population persistence in areas where plague is present.

","language":"English","publisher":"Mary Ann Liebert, Inc.","publisherLocation":"Larchmont, NY","doi":"10.1089/vbz.2009.0045","usgsCitation":"Cully, J.F., Johnson, T., Collinge, S., and Ray, C., 2010, Disease limits populations: plague and black-tailed prairie dogs: Vector-Borne and Zoonotic Diseases, v. 10, no. 1, p. 7-15, https://doi.org/10.1089/vbz.2009.0045.","productDescription":"9 p.","startPage":"7","endPage":"15","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012208","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475760,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2945311","text":"External Repository"},{"id":305657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecb0e4b0183d66e43032","contributors":{"authors":[{"text":"Cully, Jack F. Jr.","contributorId":113742,"corporation":false,"usgs":true,"family":"Cully","given":"Jack","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":564303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, T.","contributorId":45392,"corporation":false,"usgs":true,"family":"Johnson","given":"T.","email":"","affiliations":[],"preferred":false,"id":564622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collinge, S.K.","contributorId":58832,"corporation":false,"usgs":true,"family":"Collinge","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":564623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, C.","contributorId":40758,"corporation":false,"usgs":true,"family":"Ray","given":"C.","email":"","affiliations":[],"preferred":false,"id":564624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148169,"text":"70148169 - 2010 - Waterbird nest density and nest survival in rice fields of southwestern Louisiana","interactions":[],"lastModifiedDate":"2015-05-26T11:48:13","indexId":"70148169","displayToPublicDate":"2010-01-01T13:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Waterbird nest density and nest survival in rice fields of southwestern Louisiana","docAbstract":"

Rice fields in southwestern Louisiana provide breeding habitat for several waterbird species; however, little is known about nest density, nest survival and the importance of landscape context of rice fields in determining breeding activity. In 2004, 42 rice fields were searched for nests, and 40 were searched in 2005. Land uses surrounding rice fields, including irrigation canals, trees, crawfish ponds, rice, fallow and soybean fields, were examined to determine influence on nest density and survival. Nest densities were 13.5-16.0 nests/km2 for Purple Gallinules (Porphyrio martinica), 3.0-13.7 nests/km2 for Fulvous Whistling Ducks (Dendrocygna bicolor), 2.6-2.8 nests/km2 for Common Moorhens (Gallinula chloropus), 0.3-0.92 nests/km2 for Least Bitterns (Ixobrychus exilisi) and 0-0.6 nests/km2 for Mottled Ducks (Anas fulvigula). Nest survival was 52-79% for Purple Gallinules and 39-43% for Fulvous Whistling Ducks. Apparent nest success of Common Moorhens was 73-75%, 83% for Least Bitterns and 33% for Mottled Ducks. Purple Gallinule and Common Moorhen nest densities were highest in fields with a larger proportion of irrigation canals surrounding rice fields. Purple Gallinule nest densities were greater in fields devoid of trees and landscapes dominated by rice fields and pasture, rather than landscapes containing soybean fields and residential areas. Fulvous Whistling Duck nest densities were higher in agriculturally-dominated landscapes with few trees.

","language":"English","publisher":"Waterbird Society","publisherLocation":"Washington, D.C.","doi":"10.1675/063.033.0308","collaboration":"Louisiana Department of Wildlife and Fisheries; AgCenter at Louisiana State University","usgsCitation":"Pierluissi, S., King, S.L., and Kaller, M.D., 2010, Waterbird nest density and nest survival in rice fields of southwestern Louisiana: Waterbirds, v. 33, no. 3, p. 323-330, https://doi.org/10.1675/063.033.0308.","productDescription":"8 p.","startPage":"323","endPage":"330","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014228","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5565995ce4b0d9246a9eb64b","contributors":{"authors":[{"text":"Pierluissi, S.","contributorId":84197,"corporation":false,"usgs":true,"family":"Pierluissi","given":"S.","email":"","affiliations":[],"preferred":false,"id":547611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaller, Michael D.","contributorId":58005,"corporation":false,"usgs":true,"family":"Kaller","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547612,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70239738,"text":"70239738 - 2010 - The impact of hydrate saturation on the mechanical, electrical, and thermal properties of hydrate-bearing sand, silts, and clay","interactions":[],"lastModifiedDate":"2023-01-17T13:24:58.258719","indexId":"70239738","displayToPublicDate":"2010-01-01T12:58:24","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"26","title":"The impact of hydrate saturation on the mechanical, electrical, and thermal properties of hydrate-bearing sand, silts, and clay","docAbstract":"

Proper understanding of the physical properties of hydrate-bearing sediments is required for interpretation of borehole logs and exploration geophysical data, the analysis of borehole and submarine slope stability, and the formulation of reservoir simulation and production models. Yet current knowledge of geophysical and geotechnical properties of hydrate-bearing sediments is still largely derived from laboratory experiments conducted on disparate soils at different confining pressures, degrees of water saturation, and hydrate concentrations and with hydrates formed by methods unlike those that predominate in nature. We conducted a comprehensive laboratory program using sand, silts, and clay subjected to various confining effective stress levels in standardized geotechnical laboratory devices and containing carefully controlled saturations of tetrahydrofuran (THF) hydrate formed from the dissolved phase. Here, we undertake complete analysis of the trends in the measured geophysical and geotechnical properties (e.g., seismic velocities, strength, electrical conductivity and permittivity, and thermal conductivity) as a function of hydrate saturation, soil characteristics, and effective stress. Results reveal that the electrical properties of hydrate-bearing sediments are not very sensitive to the laboratory method used to form hydrate, which controls the pore-scale arrangement of hydrate and sediment grains, but are sensitive to hydrate saturation. Mechanical properties are strongly influenced by both soil properties and the hydrate formation method. Thermal conductivity depends on the complex interplay of a variety of factors, including formation history, and cannot be easily predicted by volume average formulations but will remain within physical upper and lower bounds. When hydrate forms from dissolved phase guest molecules, the resulting mathematical trends for all physical properties require that the hydrate saturation Sh in pore space, which is a quantity between 0≤ Sh ≤1.0 , be raised to a power greater than 1. This significantly reduces the impact of low-hydrate saturations on the measured physical parameters, an effect that is particularly pronounced at the hydrate saturations characteristic of many natural systems (<0.2 of pore space).

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geophysical characterization of gas hydrates","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.9781560802197.ch26","usgsCitation":"Santamarina, J., and Ruppel, C.D., 2010, The impact of hydrate saturation on the mechanical, electrical, and thermal properties of hydrate-bearing sand, silts, and clay, chap. 26 of Geophysical characterization of gas hydrates, p. 373-384, https://doi.org/10.1190/1.9781560802197.ch26.","productDescription":"12 p.","startPage":"373","endPage":"384","ipdsId":"IP-005935","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":411963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-03-21","publicationStatus":"PW","contributors":{"editors":[{"text":"Riedel, Michael","contributorId":7518,"corporation":false,"usgs":true,"family":"Riedel","given":"Michael","email":"","affiliations":[],"preferred":false,"id":861708,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Willoughby, Eleanor C.","contributorId":301001,"corporation":false,"usgs":false,"family":"Willoughby","given":"Eleanor","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":861713,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Chopra, Satinder","contributorId":301000,"corporation":false,"usgs":false,"family":"Chopra","given":"Satinder","email":"","affiliations":[],"preferred":false,"id":861714,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Santamarina, J. Carlos","contributorId":300994,"corporation":false,"usgs":false,"family":"Santamarina","given":"J. Carlos","affiliations":[{"id":27815,"text":"Georgia Tech","active":true,"usgs":false}],"preferred":false,"id":861695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":861694,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201011,"text":"70201011 - 2010 - The Mars Astrobiology Explorer-Cacher (MAX-C): A potential rover mission for 2018","interactions":[],"lastModifiedDate":"2018-11-28T12:40:31","indexId":"70201011","displayToPublicDate":"2010-01-01T12:40:21","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"The Mars Astrobiology Explorer-Cacher (MAX-C): A potential rover mission for 2018","docAbstract":"

  1. Executive Summary

  2. Introduction

  3. Scientific Priorities for a Possible Late-Decade Rover Mission

  4. Development of a Spectrum of Possible Mission Concepts

  5. Evaluation, Prioritization of Candidate Mission Concepts

  6. Strategy to Achieve Primary In Situ Objectives

  7. Relationship to a Potential Sample Return Campaign

  8. Consensus Mission Vision

  9. Considerations Related to Landing Site Selection

  10. Some Engineering Considerations Related to the Consensus Mission Vision

  11. Acknowledgments

  12. Abbreviations

  13. References

","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/ast.2010.0462","usgsCitation":"Pratt, L.M., Allen, C., Allwood, A., Anbar, A.D., Atreya, S., Carr, M., Des Marais, D., Glavin, D., Grant, J., Hamilton, V., Herkenhoff, K.E., Hipkin, V.J., McCollom, T., McEwen, A., McLennan, S., Milliken, R., Ming, D., Ori, G.G., Parnell, J., Poulet, F., Lollar, B.S., and Westall, F., 2010, The Mars Astrobiology Explorer-Cacher (MAX-C): A potential rover mission for 2018: Astrobiology, v. 10, no. 2, p. 127-163, https://doi.org/10.1089/ast.2010.0462.","productDescription":"37 p.","startPage":"127","endPage":"163","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bffb75ee4b0815414ca8e4f","contributors":{"authors":[{"text":"Pratt, Lisa M.","contributorId":210865,"corporation":false,"usgs":false,"family":"Pratt","given":"Lisa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":752549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Carl","contributorId":210866,"corporation":false,"usgs":false,"family":"Allen","given":"Carl","email":"","affiliations":[],"preferred":false,"id":752550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allwood, Abby","contributorId":210867,"corporation":false,"usgs":false,"family":"Allwood","given":"Abby","email":"","affiliations":[],"preferred":false,"id":752551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anbar, Ariel D.","contributorId":88222,"corporation":false,"usgs":true,"family":"Anbar","given":"Ariel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":752552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atreya, Sushil","contributorId":210868,"corporation":false,"usgs":false,"family":"Atreya","given":"Sushil","email":"","affiliations":[],"preferred":false,"id":752553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carr, Mike","contributorId":210869,"corporation":false,"usgs":false,"family":"Carr","given":"Mike","email":"","affiliations":[],"preferred":false,"id":752554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Des Marais, Dave","contributorId":210870,"corporation":false,"usgs":false,"family":"Des Marais","given":"Dave","email":"","affiliations":[],"preferred":false,"id":752555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glavin, Daniel","contributorId":210871,"corporation":false,"usgs":false,"family":"Glavin","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":752556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grant, John","contributorId":210872,"corporation":false,"usgs":false,"family":"Grant","given":"John","affiliations":[],"preferred":false,"id":752557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hamilton, Vicky","contributorId":210873,"corporation":false,"usgs":false,"family":"Hamilton","given":"Vicky","email":"","affiliations":[],"preferred":false,"id":752558,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":752559,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hipkin, Victoria J.","contributorId":127520,"corporation":false,"usgs":false,"family":"Hipkin","given":"Victoria","email":"","middleInitial":"J.","affiliations":[{"id":6991,"text":"Canadian Space Agency, Saint-Hubert, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":752560,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McCollom, Tom","contributorId":210874,"corporation":false,"usgs":false,"family":"McCollom","given":"Tom","email":"","affiliations":[],"preferred":false,"id":752561,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McEwen, Alfred","contributorId":59723,"corporation":false,"usgs":true,"family":"McEwen","given":"Alfred","affiliations":[],"preferred":false,"id":752575,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McLennan, Scott","contributorId":210875,"corporation":false,"usgs":false,"family":"McLennan","given":"Scott","affiliations":[],"preferred":false,"id":752562,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Milliken, Ralph","contributorId":24906,"corporation":false,"usgs":true,"family":"Milliken","given":"Ralph","affiliations":[],"preferred":false,"id":752563,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ming, Doug","contributorId":210876,"corporation":false,"usgs":false,"family":"Ming","given":"Doug","email":"","affiliations":[],"preferred":false,"id":752564,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ori, Gian Gabrielle","contributorId":210877,"corporation":false,"usgs":false,"family":"Ori","given":"Gian","email":"","middleInitial":"Gabrielle","affiliations":[],"preferred":false,"id":752565,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Parnell, John","contributorId":210878,"corporation":false,"usgs":false,"family":"Parnell","given":"John","email":"","affiliations":[],"preferred":false,"id":752566,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Poulet, Francois","contributorId":189156,"corporation":false,"usgs":false,"family":"Poulet","given":"Francois","email":"","affiliations":[],"preferred":false,"id":752567,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lollar, Barbara Sherwood","contributorId":18668,"corporation":false,"usgs":false,"family":"Lollar","given":"Barbara","email":"","middleInitial":"Sherwood","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":752568,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Westall, Frances","contributorId":210879,"corporation":false,"usgs":false,"family":"Westall","given":"Frances","email":"","affiliations":[],"preferred":false,"id":752569,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70004886,"text":"70004886 - 2010 - An Adaptive Management Approach for Summer Water Level Reductions on the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70004886","displayToPublicDate":"2010-01-01T12:39:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"An Adaptive Management Approach for Summer Water Level Reductions on the Upper Mississippi River System","docAbstract":"The primary purpose of this report is to provide an adaptive management approach for learning more about summer water level reductions (drawdowns) as a management tool, including where and how drawdowns can be applied most effectively within the Upper Mississippi River System. The report reviews previous drawdowns conducted within the system and provides specific recommendations for learning more about the lesser known effects of drawdowns and how the outcomes can be influenced by different implementation strategies and local conditions. The knowledge gained can be used by managers to determine how best to implement drawdowns in different parts of the UMRS to help achieve management goals. The information and recommendations contained in the report are derived from results of previous drawdown projects, insights from regional disciplinary experts, and the experience of the authors in experimental design, modeling, and monitoring. Modeling is a critical part of adaptive management and can involve conceptual models, simulation models, and empirical models. In this report we present conceptual models that express current understanding regarding functioning of the UMRS as related to drawdowns and highlight interactions among key ecological components of the system. The models were developed within the constraints of drawdown timing, magnitude (depth), and spatial differences in effects (longitudinal and lateral) with attention to ecological processes affected by drawdowns. With input from regional experts we focused on the responses of vegetation, fish, mussels, other invertebrates, and birds. The conceptual models reflect current understanding about relations and interactions among system components, the expected strength of those interactions, potential responses of system components to drawdowns, likelihood of the response occurring, and key uncertainties that limit our ability to make accurate predictions of effects (Table 1, Fig. 4-10). Based on this current understanding, the main questions still associated with drawdowns include (1) the effects of frequency of drawdowns (from once every few years to multiple years in succession); (2) timing of the beginning of drawdowns (follow the descending arm of the flood pulse versus always beginning in early summer); (3) long-term benefits (greater than 5-6 years), especially as compared to known short-term loses (e.g., mortality of mussels in exposed areas, loss of submersed vegetation in exposed areas, cost of advanced dredging); and (4) the effects in northern (above pool 14) versus southern pools (pool 14 and below, and the Illinois River). An adaptive management design should address these questions to reduce uncertainty in predictions of drawdown effects and help determine if different implementation strategies are needed in different parts of the system. Given that drawdowns will continue to be used as a management tool on the UMRS, we suggest that some drawdowns be conducted in an adaptive management context that helps meet management objectives, but also provides efficient learning about the questions listed above. We propose two different, but interrelated, experimental designs to address these questions. Both designs call for conducting multiple drawdowns in multiple pools (2-4 pools) to allow direct comparison of results and produce rapid learning. However, the report does not provide a detailed scope of work for carrying out the designs. If managers choose to implement one of the experimental designs, specifics of choosing appropriate pools and developing a monitoring plan will need to be determined through collaboration among managers, researchers, and statisticians. We suggest characteristics to consider in selecting treatment and reference pools (study sites) and also provide guidance for developing a monitoring plan. Some aspects of these two designs could be implemented individually, but by implementing individual elements, direct comparisons of some design features ","language":"English","publisher":"U.S. Army Corps of Engineers, Rock Island District","publisherLocation":"Rock Island, IL","usgsCitation":"Johnson, B., Barko, J., Clevenstine, R., Davis, M., Galat, D., Lubinski, S., and Nestler, J., 2010, An Adaptive Management Approach for Summer Water Level Reductions on the Upper Mississippi River System, 67 p.","productDescription":"67 p.","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":112393,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.google.com/url?sa=t&rct=j&q=an%20adaptive%20management%20approach%20for%20summer%20water%20level%20reductions%20on%20the%20upper%20mississippi%20river%20system&source=web&cd=1&ved=0CCMQFjAA&url=http%3A%2F%2Fwww2.mvr.usace.army.mil%2FUMRS%2FNESP%2FDocuments%2FWater%2520Level%2520Management%2520Report_Final%252028Oct2010.pdf&ei=e6T8Tr6sIuLf0QGOv5iHAg&usg=AFQjCNHnxNc1j1r4H9lUoPKXGhbAq3UBjw&cad=rja","linkFileType":{"id":1,"text":"pdf"}},{"id":204384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9cee4b0c8380cd48487","contributors":{"authors":[{"text":"Johnson, Barry L.","contributorId":95009,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry L.","affiliations":[],"preferred":false,"id":351594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barko, J.W.","contributorId":84705,"corporation":false,"usgs":true,"family":"Barko","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":351592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clevenstine, R.","contributorId":18894,"corporation":false,"usgs":true,"family":"Clevenstine","given":"R.","email":"","affiliations":[],"preferred":false,"id":351589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, M.","contributorId":102829,"corporation":false,"usgs":true,"family":"Davis","given":"M.","affiliations":[],"preferred":false,"id":351595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galat, D.L.","contributorId":54546,"corporation":false,"usgs":true,"family":"Galat","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":351590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lubinski, S.J.","contributorId":83063,"corporation":false,"usgs":true,"family":"Lubinski","given":"S.J.","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":351591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nestler, J.M.","contributorId":85685,"corporation":false,"usgs":true,"family":"Nestler","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":351593,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70236423,"text":"70236423 - 2010 - Historic and paleo-submarine landslide deposits imaged beneath Port Valdez, Alaska: Implications for tsunami generation in a glacial fiord","interactions":[],"lastModifiedDate":"2022-10-13T14:42:42.758189","indexId":"70236423","displayToPublicDate":"2010-01-01T12:21:13","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5696,"text":"Advances in natural and technological hazards research","active":true,"publicationSubtype":{"id":24}},"title":"Historic and paleo-submarine landslide deposits imaged beneath Port Valdez, Alaska: Implications for tsunami generation in a glacial fiord","docAbstract":"

During the 1964 M9.2 great Alaskan earthquake, submarine-slope failures resulted in the generation of highly destructive tsunamis at Port Valdez, Alaska. A high-resolution, mini-sparker reflection profiler was used to image debris lobes, which we attribute to slope failures that occurred both during and prior to the 1964 megathrust event. In these reflection profiles, debris lobe deposits are indicated by acoustically opaque units that are separated by undisturbed parallel-layered reflectors. Near-surface debris lobes attributed to the 1964 earthquake include: (1) a debris lobe over 30 m thick that emanates from the fiord-head delta in eastern Port Valdez; and (2) debris flow lobes incorporating large, intact blocks up to 40 m high in western Port Valdez, off the Shoup Glacier moraine. In addition to the near-surface debris lobes, we imaged at least five additional debris lobe deposits buried beneath the 1964 deposit. The debris lobe directly beneath the 1964 deposit has a similar thickness and spatial distribution as the 1964 deposit. However, the older, deeper, debris lobes are thinner, less extensive, and separated by thinner sequences of parallel-layered reflectors. Glacier retreat and concomitant build-up of the fiord-head delta combined with longer time intervals between megathrust events may have resulted in more extensive delta failures and thus thicker debris lobes through time.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-3071-9_34","usgsCitation":"Ryan, H.F., Lee, H.J., Haeussler, P.J., Alexander, C.R., and Kayen, R., 2010, Historic and paleo-submarine landslide deposits imaged beneath Port Valdez, Alaska: Implications for tsunami generation in a glacial fiord, chap. of Submarine mass movements and their consequences: Advances in natural and technological hazards research, v. 28, p. 411-421, https://doi.org/10.1007/978-90-481-3071-9_34.","productDescription":"11 p.","startPage":"411","endPage":"421","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":406246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Port Valdez","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -146.700439453125,\n 61.03701223240187\n ],\n [\n -146.08108520507812,\n 61.03701223240187\n ],\n [\n -146.08108520507812,\n 61.18231505813263\n ],\n [\n -146.700439453125,\n 61.18231505813263\n ],\n [\n -146.700439453125,\n 61.03701223240187\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Mosher, David C.","contributorId":66118,"corporation":false,"usgs":false,"family":"Mosher","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":854436,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shipp, R. C.","contributorId":35470,"corporation":false,"usgs":true,"family":"Shipp","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":854437,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Moscardelli, Lorena","contributorId":147083,"corporation":false,"usgs":false,"family":"Moscardelli","given":"Lorena","email":"","affiliations":[],"preferred":false,"id":854438,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":854439,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Baxter, Christopher D. P.","contributorId":147084,"corporation":false,"usgs":false,"family":"Baxter","given":"Christopher","email":"","middleInitial":"D. P.","affiliations":[],"preferred":false,"id":854440,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Lee, Homa J. hjlee@usgs.gov","contributorId":1021,"corporation":false,"usgs":true,"family":"Lee","given":"Homa J.","email":"hjlee@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":854441,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Urgeles, Roger","contributorId":147085,"corporation":false,"usgs":false,"family":"Urgeles","given":"Roger","email":"","affiliations":[],"preferred":false,"id":854442,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Ryan, H. F.","contributorId":18002,"corporation":false,"usgs":true,"family":"Ryan","given":"H.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":850950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, H. J.","contributorId":190472,"corporation":false,"usgs":true,"family":"Lee","given":"H.","email":"","middleInitial":"J.","affiliations":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"preferred":false,"id":850951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":850953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, C. R.","contributorId":72729,"corporation":false,"usgs":true,"family":"Alexander","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":850954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kayen, Robert E. 0000-0002-0356-072X","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":261195,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":850952,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203542,"text":"70203542 - 2010 - Increase in black mangrove abundance in coastal Louisiana","interactions":[],"lastModifiedDate":"2020-02-13T12:01:44","indexId":"70203542","displayToPublicDate":"2010-01-01T12:16:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5834,"text":"Louisiana Natural Resources News","active":true,"publicationSubtype":{"id":10}},"title":"Increase in black mangrove abundance in coastal Louisiana","docAbstract":"

Black mangrove (Avicennia germinans), a subtropical species, has historically occurred in saline marsh habitat along the Louisiana coast, but their distribution has always been sparse and they seldom achieved heights of greater than 1 m. The distribution of black mangrove in Louisiana has been largely limited by freezing temperatures. Weather records show a decrease in freeze frequency and duration in the coastal zone of Louisiana. At the same time, we and others have noted an apparent, but as of yet undocumented and unquantified, increase in mangrove distribution and abundance in the state. The last hard freeze in coastal Louisiana was in 1989, so mangroves have had 20 years to grow and spread. We conducted aerial surveys along fixed transects from 2000 to 2002 and again in 2009 to determine if mangroves are indeed more numerous along the coast. For each flight we surveyed about 5,000 patches of landscape, each approximately 100 m in diameter, and classified them as to vegetation characteristics. We found that the number of such patches that were vegetated with Avicennia more than doubled from October 2001 (22 patches) to August 2002 (55 patches – Figure 1). But more importantly we found about 275 mangrove patches along the same transects in 2009, a 5-fold increase in abundance over that 6.5 year period. 

","language":"English","publisher":"Louisiana Association of Professional Biologists","usgsCitation":"Michot, T.C., Day, R.H., and Wells, C.J., 2010, Increase in black mangrove abundance in coastal Louisiana: Louisiana Natural Resources News, p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":364048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.75732421875,\n 30.287531589298727\n ],\n [\n -93.85620117187499,\n 29.57345707301757\n ],\n [\n -91.219482421875,\n 29.008140362978157\n ],\n [\n -88.670654296875,\n 28.9023972285585\n ],\n [\n -88.96728515624999,\n 30.164126343161097\n ],\n [\n -89.53857421875,\n 30.164126343161097\n ],\n [\n -89.769287109375,\n 31.015278981711266\n ],\n [\n -93.7353515625,\n 30.968189296794247\n ],\n [\n -93.75732421875,\n 30.287531589298727\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Michot, Thomas Claud 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":215703,"corporation":false,"usgs":false,"family":"Michot","given":"Thomas","email":"","middleInitial":"Claud","affiliations":[],"preferred":false,"id":763084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wells, Christopher J. wellsc@usgs.gov","contributorId":5607,"corporation":false,"usgs":true,"family":"Wells","given":"Christopher","email":"wellsc@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":763086,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148655,"text":"70148655 - 2010 - Cover preference of the Carolina madtom (Noturus furiosus), an imperiled, indemic southeastern stream fish","interactions":[],"lastModifiedDate":"2015-07-13T10:57:44","indexId":"70148655","displayToPublicDate":"2010-01-01T12:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Cover preference of the Carolina madtom (Noturus furiosus), an imperiled, indemic southeastern stream fish","docAbstract":"

In a laboratory setting, we investigated cover preference of the Carolina madtom (Noturus furiosus), an imperiled, endemic southeastern USA stream fish. Fish were tested individually and given 24 hours to make a selection from four cover options, including rock, leaf pack, mussel shell, and an artificial cover unit. Among 30 trials, Carolina madtom preferred the artificial cover unit, selecting it 63% of the time. Rock was selected 23% of the time, and leaf pack 13%. Mussel shells were not selected during any trial.

","language":"English","publisher":"Oikos Publishers","publisherLocation":"La Crosse, WI","doi":"10.1080/02705060.2010.9664368","collaboration":"State Wildlife Grant through the North Carolina Wildlife Resources Commission; North Carolina State University; North Carolina Wildlife Resources Commission; U.S. Geological Survey; U.S. Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Midway, S., Aday, D., Kwak, T.J., and Gross, K., 2010, Cover preference of the Carolina madtom (Noturus furiosus), an imperiled, indemic southeastern stream fish: Journal of Freshwater Ecology, v. 25, no. 1, p. 151-154, https://doi.org/10.1080/02705060.2010.9664368.","productDescription":"4 p.","startPage":"151","endPage":"154","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010673","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2010.9664368","text":"Publisher Index Page"},{"id":305676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a4e134e4b0183d66e45384","contributors":{"authors":[{"text":"Midway, S.R.","contributorId":55666,"corporation":false,"usgs":true,"family":"Midway","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":564704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aday, D.D.","contributorId":75356,"corporation":false,"usgs":true,"family":"Aday","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":564705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gross, K.","contributorId":68251,"corporation":false,"usgs":true,"family":"Gross","given":"K.","email":"","affiliations":[],"preferred":false,"id":564706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148656,"text":"70148656 - 2010 - Habitat suitability of the Carolina madtom, an imperiled, endemic stream fish","interactions":[],"lastModifiedDate":"2015-07-13T10:51:58","indexId":"70148656","displayToPublicDate":"2010-01-01T12:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability of the Carolina madtom, an imperiled, endemic stream fish","docAbstract":"

The Carolina madtom Noturus furiosus is an imperiled stream ictalurid that is endemic to the Tar and Neuse River basins in North Carolina. The Carolina madtom is listed as a threatened species by the state of North Carolina, and whereas recent distribution surveys have found that the Tar River basin population occupies a range similar to its historical range, the Neuse River basin population has shown recent significant decline. Quantification of habitat requirements and availability is critical for effective management and subsequent survival of the species. We investigated six reaches (three in each basin) to (1) quantify Carolina madtom microhabitat use, availability, and suitability; (2) compare suitable microhabitat availability between the two basins; and (3) examine use of an instream artificial cover unit. Carolina madtoms were located and their habitat was quantified at four of the six survey reaches. They most frequently occupied shallow to moderate depths of swift moving water over a sand substrate and used cobble for cover. Univariate and principal components analyses both showed that Carolina madtom use of instream habitat was selective (i.e., nonrandom). Interbasin comparisons suggested that suitable microhabitats were more prevalent in the impacted Neuse River basin than in the Tar River basin. We suggest that other physical or biotic effects may be responsible for the decline in the Neuse River basin population. We designed instream artificial cover units that were occupied by Carolina madtoms (25% of the time) and occasionally by other organisms. Carolina madtom abundance among all areas treated with the artificial cover unit was statistically higher than that in the control areas, demonstrating use of artificial cover when available. Microhabitat characteristics of occupied artificial cover units closely resembled those of natural instream microhabitat used by Carolina madtoms; these units present an option for conservation and restoration if increased management is deemed necessary. Results from our study provide habitat suitability criteria and artificial cover information that can inform management and conservation of the Carolina madtom.

","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1577/T08-238.1","collaboration":"State Wildlife Grant through the NCWRC; North Carolina State University; U.S. Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Midway, S., Kwak, T.J., and Aday, D., 2010, Habitat suitability of the Carolina madtom, an imperiled, endemic stream fish: Transactions of the American Fisheries Society, v. 139, no. 2, p. 325-338, https://doi.org/10.1577/T08-238.1.","productDescription":"14 p.","startPage":"325","endPage":"338","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011020","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"55a4e13fe4b0183d66e45396","contributors":{"authors":[{"text":"Midway, S.R.","contributorId":55666,"corporation":false,"usgs":true,"family":"Midway","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":564702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aday, D.D.","contributorId":75356,"corporation":false,"usgs":true,"family":"Aday","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":564703,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236492,"text":"70236492 - 2010 - Structural changes in vegetation coincident with annual grass invasion negatively impacts sprint velocity of small vertebrates","interactions":[],"lastModifiedDate":"2022-09-08T17:17:26.530173","indexId":"70236492","displayToPublicDate":"2010-01-01T11:56:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Structural changes in vegetation coincident with annual grass invasion negatively impacts sprint velocity of small vertebrates","docAbstract":"

Sagebrush ecosystems in the intermountain west of the United States are being threatened by conversion to the non-native grass, cheatgrass (Bromus tectorum). The dramatic shift in the physical structure of vegetation coincident with cheatgrass invasion likely has negative impacts on animal communities, yet these structural impacts have not been well-studied. In a previous study, dense cheatgrass stems reduced sprint velocity for the flattened, wide-bodied desert horned lizard (Phrynosoma platyrhinos). Here, we asked if a decrease in sprint velocity due to cheatgrass impediment can be generalized to the suite of small vertebrates inhabiting the sagebrush ecosystems of western Utah. We evaluated sprint performance of the common rodent (n = 3) and lizard (n = 4) species on two raceway types, cheatgrass and no-cheatgrass, and hypothesized that body size, body shape, and form of movement are important factors influencing sprint velocity through dense cheatgrass stems. All species showed significant reductions in speed on cheatgrass versus no-cheatgrass raceways, with percent reduction greatest for larger, wider, or hopping organisms compared to smaller, more slender, or running organisms. Of concern, surveys for rodents and lizards at our study areas support a common pattern: lower abundances of small vertebrates, as well as a loss of rodent species richness, in areas infested with cheatgrass compared to intact, native sagebrush communities. By extension, we expect a negative impact on animal communities in other semi-arid regions experiencing dramatic shifts in vegetation structure upon invasion by non-native grasses that are capable of forming dense stands in the interspaces of native desert plants [e.g., Sonoran desert invaded by buffelgrass (Pennisetum ciliare)].

","language":"English","publisher":"Springer","doi":"10.1007/s10530-009-9653-7","usgsCitation":"Rieder, J.P., Newbold, T.A., and Ostoja, S.M., 2010, Structural changes in vegetation coincident with annual grass invasion negatively impacts sprint velocity of small vertebrates: Biological Invasions, v. 12, p. 2429-2439, https://doi.org/10.1007/s10530-009-9653-7.","productDescription":"11 p.","startPage":"2429","endPage":"2439","costCenters":[],"links":[{"id":406381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","county":"Box Elder County, Tooele County","otherGeospatial":"Grouse Creek Mountains, Vernon Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0435791015625,\n 41.40359574314669\n ],\n [\n -113.66455078125,\n 41.44066745847658\n ],\n [\n -113.5986328125,\n 41.50446357504803\n ],\n [\n -113.56567382812499,\n 41.644183479397455\n ],\n [\n -113.543701171875,\n 41.795888098191426\n ],\n [\n -113.24432373046875,\n 41.822501920711105\n ],\n [\n -113.1536865234375,\n 41.879786443521795\n ],\n [\n -113.13446044921875,\n 41.99828401778616\n ],\n [\n -114.04083251953124,\n 41.9942015603157\n ],\n [\n -114.0435791015625,\n 41.40359574314669\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.37022399902344,\n 40.07465624779881\n ],\n [\n -112.36473083496092,\n 40.07281723396798\n ],\n [\n -112.35408782958984,\n 40.08279985497752\n ],\n [\n -112.3513412475586,\n 40.10906291689112\n ],\n [\n -112.38533020019531,\n 40.152374807152206\n ],\n [\n -112.40386962890624,\n 40.147651214960966\n ],\n [\n -112.39253997802734,\n 40.09251836920462\n ],\n [\n -112.37022399902344,\n 40.07465624779881\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2009-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Rieder, J. P.","contributorId":296310,"corporation":false,"usgs":false,"family":"Rieder","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":851236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newbold, T. A. S.","contributorId":296311,"corporation":false,"usgs":false,"family":"Newbold","given":"T.","email":"","middleInitial":"A. S.","affiliations":[],"preferred":false,"id":851237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false}],"preferred":false,"id":851238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047448,"text":"dds49029 - 2010 - Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: 30-year average annual maximum temperature, 1971-2000","interactions":[],"lastModifiedDate":"2013-11-25T16:00:07","indexId":"dds49029","displayToPublicDate":"2010-01-01T11:56:00","publicationYear":"2010","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":"490-29","title":"Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: 30-year average annual maximum temperature, 1971-2000","docAbstract":"This data set represents the 30-year (1971-2000) average annual maximum temperature in Celsius multiplied by 100 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the United States Average Monthly or Annual Minimum Temperature, 1971 - 2000 raster dataset produced by the PRISM Group at Oregon State University. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49029","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: 30-year average annual maximum temperature, 1971-2000: U.S. Geological Survey Data Series 490-29, Dataset, https://doi.org/10.3133/dds49029.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":276119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276118,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_tmax30yr.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c1d","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118932,"text":"70118932 - 2010 - Vegetation classification and distribution mapping report: Canyon de Chelly National Monument","interactions":[],"lastModifiedDate":"2021-10-27T15:56:39.048541","indexId":"70118932","displayToPublicDate":"2010-01-01T11:53:54","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"NPS/SCPN/NRTR—2010/306","title":"Vegetation classification and distribution mapping report: Canyon de Chelly National Monument","docAbstract":"

Executive Summary: The classification and distribution mapping of the vegetation of Canyon de Chelly National Monument (CACH) and surrounding environment was accomplished through a multi-agency effort between 2003 and 2007. The National Park Service’s Southern Colorado Plateau Network facilitated the team that conducted the work, which comprised the U.S. Geological Survey’s Southwest Biological Science Center and Fort Collins Science Center, Navajo Natural Heritage Program, Northern Arizona University, and NatureServe. The project team described 48 plant communities for CACH—35 of which were described from quantitative classification based on field-relevé data collected in 2004. Five additional plant communities were based on field relevés collected in a previous study. The team derived four additional plant communities from field observations during the photointerpretation phase of the project, and field documented them during accuracy assessment. The National Vegetation Classification Standard served as a conceptual framework for assigning these plant communities to the alliance and association level. Ten of the 48 plant communities were designated “park specials”, that is, plant communities with insufficient data to describe them as new alliances or associations. The project team also developed a spatial vegetation map database representing CACH, with three different map-class schemas: base, group, and management map classes. The base map classes represented the finest level of spatial detail. Photointerpreters delineated initial polygons through manual interpretation of 2003/2004 1:12,000-scale true color aerial photography supplemented by occasional computer screen digitizing on a mosaic of digitized aerial photos. These polygons were labeled with base map classes during photointerpretation. Field visits verified interpretation concepts. The vegetation map database includes • ? 53 base map classes, which consist of associations and park specials classified with the quantitative analysis • ? additional associations noted during photointerpretation • ? non-vegetated land cover, such as infrastructure, land use, and geological land cover. The base map classes consist of 4,718 polygons in the project area. A field-based accuracy assessment of the base map classes showed the overall accuracy to be 50.8% The group map classes represent aggregations of the base map classes, approximating the group level of the National Vegetation Classification Standard, Version 2 (Federal Geographic Data Committee 2008). Terrestrial ecological systems, as described by NatureServe (Comer et al. 2003), were used as a first approximation of the group level. The project team identified 16 group map classes in this project. The overall accuracy of the group map classes was determined using the same accuracy assessment data as for the base map classes. The overall accuracy of the group representation of vegetation was 79.9%. In consultation with park staff, the team developed management map classes that consisted of park-defined groupings of base map classes and were intended to represent a balance between maintaining required accuracy and providing a focus on vegetation of particular interest or import to park managers. The 28 management map classes have an overall accuracy of 77.1%. While the main products of this project are the vegetation classification and the vegetation map database, a number of ancillary geographic information system and digital database products were also produced that can be used independently, or to augment the main products. These products include shapefiles of the location of field-collected data and relational databases of field-collected data.

","language":"English","publisher":"National Park Service, U.S. Department of the Interior","publisherLocation":"Washington, D.C.","usgsCitation":"Thomas, K., McTeague, M., Ogden, L., Schulz, K., Fancher, T.S., Waltermire, R., and Cully, A., 2010, Vegetation classification and distribution mapping report: Canyon de Chelly National Monument, 338 p.","productDescription":"338 p.","numberOfPages":"338","costCenters":[],"links":[{"id":291488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db584be4b0fba533fa35c3","contributors":{"authors":[{"text":"Thomas, K.A.","contributorId":100934,"corporation":false,"usgs":true,"family":"Thomas","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":497528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McTeague, M.L.","contributorId":22263,"corporation":false,"usgs":true,"family":"McTeague","given":"M.L.","affiliations":[],"preferred":false,"id":497525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogden, Lindsay","contributorId":54131,"corporation":false,"usgs":true,"family":"Ogden","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":497526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, K.","contributorId":98544,"corporation":false,"usgs":true,"family":"Schulz","given":"K.","affiliations":[],"preferred":false,"id":497527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waltermire, Robert","contributorId":18644,"corporation":false,"usgs":true,"family":"Waltermire","given":"Robert","affiliations":[],"preferred":false,"id":497524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cully, A.","contributorId":101577,"corporation":false,"usgs":true,"family":"Cully","given":"A.","email":"","affiliations":[],"preferred":false,"id":497529,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70074342,"text":"70074342 - 2010 - Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington","interactions":[],"lastModifiedDate":"2019-10-23T17:20:09","indexId":"70074342","displayToPublicDate":"2010-01-01T11:50:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington","docAbstract":"

We explored the use of continuous waterborne electrical imaging (CWEI), in conjunction with fiber‐optic distributed temperature sensor (FO‐DTS) monitoring, to improve the conceptual model for uranium transport within the Columbia River corridor at the Hanford 300 Area, Washington. We first inverted resistivity and induced polarization CWEI data sets for distributions of electrical resistivity and polarizability, from which the spatial complexity of the primary hydrogeologic units was reconstructed. Variations in the depth to the interface between the overlying coarse‐grained, high‐permeability Hanford Formation and the underlying finer‐grained, less permeable Ringold Formation, an important contact that limits vertical migration of contaminants, were resolved along ∼3 km of the river corridor centered on the 300 Area. Polarizability images were translated into lithologic images using established relationships between polarizability and surface area normalized to pore volume (Spor). The FO‐DTS data recorded along 1.5 km of cable with a 1 m spatial resolution and 5 min sampling interval revealed subreaches showing (1) temperature anomalies (relatively warm in winter and cool in summer) and (2) a strong correlation between temperature and river stage (negative in winter and positive in summer), both indicative of reaches of enhanced surface water–groundwater exchange. The FO‐DTS data sets confirm the hydrologic significance of the variability identified in the CWEI and reveal a pattern of highly focused exchange, concentrated at springs where the Hanford Formation is thickest. Our findings illustrate how the combination of CWEI and FO‐DTS technologies can characterize surface water–groundwater exchange in a complex, coupled river‐aquifer system.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009110","usgsCitation":"Slater, L.D., Ntarlagiannis, D., Day-Lewis, F.D., Mwakanyamale, K., Versteeg, R.J., Ward, A., Strickland, C., Johnson, C.D., and Lane, J.W., 2010, Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington: Water Resources Research, v. 46, no. 10, W10533; 3 p., https://doi.org/10.1029/2010WR009110.","productDescription":"W10533; 3 p.","onlineOnly":"N","ipdsId":"IP-019421","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009110","text":"Publisher Index Page"},{"id":281654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Hanford 300 Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.28319931030273,\n 46.35699885440808\n ],\n [\n -119.26620483398438,\n 46.35699885440808\n ],\n [\n -119.26620483398438,\n 46.37547772047758\n ],\n [\n -119.28319931030273,\n 46.37547772047758\n ],\n [\n -119.28319931030273,\n 46.35699885440808\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-10-21","publicationStatus":"PW","scienceBaseUri":"53cd7a93e4b0b2908510d92c","contributors":{"authors":[{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":489531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":489527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Versteeg, Roelof J.","contributorId":73501,"corporation":false,"usgs":true,"family":"Versteeg","given":"Roelof","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":489532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ward, Andy","contributorId":7184,"corporation":false,"usgs":true,"family":"Ward","given":"Andy","email":"","affiliations":[],"preferred":false,"id":489530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strickland, Christopher","contributorId":101991,"corporation":false,"usgs":true,"family":"Strickland","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":489535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":489528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70217739,"text":"70217739 - 2010 - Estimating structural dip from gravity and magnetic profile data","interactions":[],"lastModifiedDate":"2021-01-29T17:50:24.41689","indexId":"70217739","displayToPublicDate":"2010-01-01T11:43:17","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating structural dip from gravity and magnetic profile data","docAbstract":"

The anomalies of ideal sources, dipping magnetic contacts and dipping density sheets, provide the theoretical basis for estimating structural dip from gravity and magnetic profile data. The dip is always related to the local phase angle of a complex analytic signal evaluated directly over the source. For magnetic sheets, the complex analytic signal is constructed from the anomaly and its Hilbert transform. For magnetic contacts or density sheets, it is constructed from the first‐order horizontal and vertical derivatives of the anomaly. Dip estimation is implemented as an integral part of source‐location algorithms. The analytic signal and local wavenumber methods require interpolation of the local phase from sampled anomaly or derivative values. In the case of extended Euler deconvolution and multiple‐source Werner deconvolution the dip is derived as part of the least squares solution.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEG technical program expanded abstracts 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEG International Exposition and 80th Annual Meeting","conferenceDate":"Oct 17-22, 2010","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3513060","usgsCitation":"Phillips, J., 2010, Estimating structural dip from gravity and magnetic profile data, in SEG technical program expanded abstracts 2010, Denver, CO, Oct 17-22, 2010, p. 1202-1206, https://doi.org/10.1190/1.3513060.","productDescription":"5 p.","startPage":"1202","endPage":"1206","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":382818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809433,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047446,"text":"dds49028 - 2010 - Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002","interactions":[],"lastModifiedDate":"2013-11-25T15:59:40","indexId":"dds49028","displayToPublicDate":"2010-01-01T11:38:00","publicationYear":"2010","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":"490-28","title":"Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002","docAbstract":"This data set represents the average monthly maximum temperature in Celsius multiplied by 100 for 2002 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for the Conterminous United States for 2002 raster dataset produced by the Spatial Climate Analysis Service at Oregon State University. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49028","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002: U.S. Geological Survey Data Series 490-28, Dataset, https://doi.org/10.3133/dds49028.","productDescription":"Dataset","costCenters":[],"links":[{"id":276116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c21","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154839,"text":"70154839 - 2010 - Estimation and modeling of electrofishing capture efficiency for fishes in wadeable warmwater streams","interactions":[],"lastModifiedDate":"2015-08-10T10:27:39","indexId":"70154839","displayToPublicDate":"2010-01-01T11:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimation and modeling of electrofishing capture efficiency for fishes in wadeable warmwater streams","docAbstract":"

Stream fish managers often use fish sample data to inform management decisions affecting fish populations. Fish sample data, however, can be biased by the same factors affecting fish populations. To minimize the effect of sample biases on decision making, biologists need information on the effectiveness of fish sampling methods. We evaluated single-pass backpack electrofishing and seining combined with electrofishing by following a dual-gear, mark–recapture approach in 61 blocknetted sample units within first- to third-order streams. We also estimated fish movement out of unblocked units during sampling. Capture efficiency and fish abundances were modeled for 50 fish species by use of conditional multinomial capture–recapture models. The best-approximating models indicated that capture efficiencies were generally low and differed among species groups based on family or genus. Efficiencies of single-pass electrofishing and seining combined with electrofishing were greatest for Catostomidae and lowest for Ictaluridae. Fish body length and stream habitat characteristics (mean cross-sectional area, wood density, mean current velocity, and turbidity) also were related to capture efficiency of both methods, but the effects differed among species groups. We estimated that, on average, 23% of fish left the unblocked sample units, but net movement varied among species. Our results suggest that (1) common warmwater stream fish sampling methods have low capture efficiency and (2) failure to adjust for incomplete capture may bias estimates of fish abundance. We suggest that managers minimize bias from incomplete capture by adjusting data for site- and species-specific capture efficiency and by choosing sampling gear that provide estimates with minimal bias and variance. Furthermore, if block nets are not used, we recommend that managers adjust the data based on unconditional capture efficiency.

","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1577/M09-122.1","usgsCitation":"Price, A., and Peterson, J., 2010, Estimation and modeling of electrofishing capture efficiency for fishes in wadeable warmwater streams: North American Journal of Fisheries Management, v. 30, no. 2, p. 481-498, https://doi.org/10.1577/M09-122.1.","productDescription":"18 p.","startPage":"481","endPage":"498","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015960","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-04-01","publicationStatus":"PW","scienceBaseUri":"55c9cb33e4b08400b1fdb708","contributors":{"authors":[{"text":"Price, A.","contributorId":78850,"corporation":false,"usgs":true,"family":"Price","given":"A.","email":"","affiliations":[],"preferred":false,"id":567604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":564253,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148704,"text":"70148704 - 2010 - Verification of otolith identity used by fisheries scientists for aging channel catfish","interactions":[],"lastModifiedDate":"2015-06-22T10:22:08","indexId":"70148704","displayToPublicDate":"2010-01-01T11:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Verification of otolith identity used by fisheries scientists for aging channel catfish","docAbstract":"

Previously published studies of the age estimation of channel catfish Ictalurus punctatus based on otoliths have reported using the sagittae, whereas it is likely they were actually using the lapilli. This confusion may have resulted because in catfishes (ostariophyseans) the lapilli are the largest of the three otoliths, whereas in nonostariophysean fish the sagittae are the largest. Based on (1) scanning electron microscope microphotographs of channel catfish otoliths, (2) X-ray computed tomography scans of a channel catfish head, (3) descriptions of techniques used to removed otoliths from channel catfish reported in the literature, and (4) a sample of channel catfish otoliths received from fisheries biologists from around the country, it is clear that lapilli are most often used for channel catfish aging studies, not sagittae, as has been previously reported. Fisheries scientists who obtain otoliths from channel catfish can use the information in this paper to correctly identify otolith age.

","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1577/T10-102.1","collaboration":"Oklahoma Department of Wildlife Conservation; Oklahoma State Univ.;","usgsCitation":"Long, J.M., and Stewart, D., 2010, Verification of otolith identity used by fisheries scientists for aging channel catfish: Transactions of the American Fisheries Society, v. 139, no. 6, p. 1775-1779, https://doi.org/10.1577/T10-102.1.","productDescription":"5 p.","startPage":"1775","endPage":"1779","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022343","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-02-15","publicationStatus":"PW","scienceBaseUri":"558931dce4b0b6d21dd61c22","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":549421,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168546,"text":"70168546 - 2010 - Genetic analysis of individual origins supports isolation of grizzly bears in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2016-02-19T10:37:01","indexId":"70168546","displayToPublicDate":"2010-01-01T11:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of individual origins supports isolation of grizzly bears in the Greater Yellowstone Ecosystem","docAbstract":"

The Greater Yellowstone Ecosystem (GYE) supports the southernmost of the 2 largest remaining grizzly bear (Ursus arctos) populations in the contiguous United States. Since the mid-1980s, this population has increased in numbers and expanded in range. However, concerns for its long-term genetic health remain because of its presumed continued isolation. To test the power of genetic methods for detecting immigrants, we generated 16-locus microsatellite genotypes for 424 individual grizzly bears sampled in the GYE during 1983–2007. Genotyping success was high (90%) and varied by sample type, with poorest success (40%) for hair collected from mortalities found ≥1 day after death. Years of storage did not affect genotyping success. Observed heterozygosity was 0.60, with a mean of 5.2 alleles/marker. We used factorial correspondence analysis (Program GENETIX) and Bayesian clustering (Program STRUCTURE) to compare 424 GYE genotypes with 601 existing genotypes from grizzly bears sampled in the Northern Continental Divide Ecosystem (NCDE) (FST  =  0.096 between GYE and NCDE). These methods correctly classified all sampled individuals to their population of origin, providing no evidence of natural movement between the GYE and NCDE. Analysis of 500 simulated first-generation crosses suggested that over 95% of such bears would also be detectable using our 16-locus data set. Our approach provides a practical method for detecting immigration in the GYE grizzly population. We discuss estimates for the proportion of the GYE population sampled and prospects for natural immigration into the GYE.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The International Association for Bear Research and Management","publisherLocation":"New York","doi":"10.2192/09GR022.1","usgsCitation":"Haroldson, M.A., Schwartz, C., Kendall, K.C., Gunther, K.A., Moody, D., Frey, K.L., and Paetkau, D., 2010, Genetic analysis of individual origins supports isolation of grizzly bears in the Greater Yellowstone Ecosystem: Ursus, v. 21, no. 1, p. 1-13, https://doi.org/10.2192/09GR022.1.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014839","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":318169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, 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Using data from the High Resolution Imaging Science Experiment (HiRISE) aboard the Mars Reconnaissance Orbiter, we reassess the methods by which layers within the north polar layered deposits (NPLD) can be delineated and their thicknesses measured. Apparent brightness and morphology alone are insufficient for this task; high resolution topographic data are necessary. From these analyses, we find that the visible appearance of layers depends to a large degree on the distribution of younger, mantling deposits (which in turn is partially influenced by inherent layer properties) and on the shape and location of the particular outcrop. This younger mantle partially obscures layer morphology and brightness and is likely a cause of the gradational contacts between individual layers at this scale. High resolution images reveal that there are several layers similar in appearance to the well-known marker bed discovered by Malin, M., Edgett, K., 2001. J. Geophys. Res. 106, 23429–23570. The morphology, thicknesses (4-8&#xB1;2m)\">(4-8±2m), and separation distances (5-32&#xB1;2m)\">(5-32±2m) of these marker beds, as gleaned from a high resolution stereo digital elevation model, lend insight into the connection between stratigraphy and climate.

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I examined the numerical, biomass, and diet responses of a common predator, dragonfly larvae, to experimental reduction of terrestrial arthropod input into ponds. I distributed paired enclosures (n  =  7), one with a screen between the land and water (reduced subsidy) and one without a screen (ambient subsidy), near the shoreline of 2 small fishless ponds and sampled each month during the growing season in the southern Appalachian Mountains, Virginia (USA). Screens between water and land reduced the number of terrestrial arthropods that fell into screened enclosures relative to the number that fell into unscreened enclosures and open reference plots by 36%. The δ13C isotopic signatures of dragonfly larvae shifted towards those of aquatic prey in reduced-subsidy enclosures, a result suggesting that dragonflies consumed fewer terrestrial prey when fewer were available (ambient subsidy: 30%, reduced subsidy: 19% of diet). 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