Global Positioning System (GPS) telemetry is used extensively to study animal distribution and resource selection patterns but is susceptible to biases resulting from data omission and spatial inaccuracies. These data errors may cause misinterpretation of wildlife habitat selection or spatial use patterns. We used both stationary test collars and collared free-ranging American black bears (Ursus americanus) to quantify systemic data loss and location error of GPS telemetry in mountainous, old-growth temperate forests of Olympic National Park, Washington, USA. We developed predictive models of environmental factors that influence the probability of obtaining GPS locations and evaluated the ability of weighting factors derived from these models to mitigate data omission biases from collared bears. We also examined the effects of microhabitat on collar fix success rate and examined collar accuracy as related to elevation changes between successive fixes. The probability of collars successfully obtaining location fixes was positively associated with elevation and unobstructed satellite view and was negatively affected by the interaction of overstory canopy and satellite view. Test collars were 33% more successful at acquiring fixes than those on bears. Fix success rates of collared bears varied seasonally and diurnally. Application of weighting factors to individual collared bear fixes recouped only 6% of lost data and failed to reduce seasonal or diurnal variation in fix success, suggesting that variables not included in our model contributed to data loss. Test collars placed to mimic bear bedding sites received 16% fewer fixes than randomly placed collars, indicating that microhabitat selection may contribute to data loss for wildlife equipped with GPS collars. Horizontal collar errors of >800 m occurred when elevation changes between successive fixes were >400 m. We conclude that significant limitations remain in accounting for data loss and error inherent in using GPS telemetry in coniferous forest ecosystems and that, at present, resource selection patterns of large mammals derived from GPS telemetry should be interpreted cautiously.
","language":"English","publisher":"BioOne Complete","doi":"10.2193/2006-367","usgsCitation":"Sager-Fradkin, K.A., Jenkins, K.J., Hoffman, R.L., Happe, P., Beecham, J., and Wright, R., 2007, Fix success and accuracy of GPS radio collars in old-growth temperate coniferous forests: Journal of Wildlife Management, v. 71, no. 4, p. 1298-1308, https://doi.org/10.2193/2006-367.","productDescription":"11 p.","startPage":"1298","endPage":"1308","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":134247,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.26086425781249,\n 47.543163654317304\n ],\n [\n -122.882080078125,\n 47.543163654317304\n ],\n [\n -122.882080078125,\n 47.97153658265933\n ],\n [\n -124.26086425781249,\n 47.97153658265933\n ],\n [\n -124.26086425781249,\n 47.543163654317304\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5eeeaf","contributors":{"authors":[{"text":"Sager-Fradkin, Kimberly A.","contributorId":87103,"corporation":false,"usgs":true,"family":"Sager-Fradkin","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":324227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":324222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoffman, Robert L.","contributorId":52931,"corporation":false,"usgs":true,"family":"Hoffman","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":324226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Happe, P.","contributorId":12013,"corporation":false,"usgs":true,"family":"Happe","given":"P.","affiliations":[],"preferred":false,"id":324224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beecham, J.","contributorId":31364,"corporation":false,"usgs":true,"family":"Beecham","given":"J.","email":"","affiliations":[],"preferred":false,"id":324225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, R.G.","contributorId":9622,"corporation":false,"usgs":true,"family":"Wright","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":324223,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70180902,"text":"70180902 - 2007 - Mammal inventories for eight National Parks in the Southern Colorado Plateau Network","interactions":[],"lastModifiedDate":"2017-02-07T13:00:02","indexId":"70180902","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":54,"text":"Natural Resource Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SCPN/NRTR-2007/054","title":"Mammal inventories for eight National Parks in the Southern Colorado Plateau Network","docAbstract":"Historically, the Colorado Plateau has been the subject of many geological and biological explorations. J. W. Powell explored and mapped the canyon country of the Colorado River in 1869 (Powell 1961). C. H. Merriam, V. Bailey, M. Cary, and other employees of the Bureau of Biological Survey conducted biological explorations of the area in the late 1800s. In recent times, researchers such as S. D. Durrant (1952), Durrant and Robinson (1962), D. M. Armstrong (1972), J. S. Findley et al. (1975), D. F. Hoff meister (1986), and J. Fitzgerald et al. (1994) have made considerable contributions to our understanding of the fauna of the Colorado Plateau. Despite earlier efforts, biological details on many regions of the plateau have remained insufficiently explored.
In an effort to gather valuable biological information, the National Park Service (NPS) initiated a nationwide program to inventory vascular plants and vertebrates on NPS lands (Stuart 2000). The U.S. Geological Survey, Fort Collins Science Center, Arid Lands Field Station became a cooperator on this effort in 2001, when we began mammalian inventories on five parks within the NPS Southern Colorado Plateau Network (SCPN): Aztec Ruins National Monument (AZRU), El Morro National Monument (ELMO), Petroglyph National Monument (PETR), Salinas Pueblo Missions National Monument (SAPU), and Yucca House National Monument (YUHO). Existing baseline data on mammalian occurrences in these parks varied from very sparse to moderate, with little information available for most parks. In most cases, information was insufficient to assess the status of species of local concern. A final report on inventory efforts on these five parks was submitted in February 2004 (Bogan et al. 2004).
In 2003, biologists from the Arid Lands Field Station began work on three additional parks in the SCPN: Bandelier National Monument (BAND), Chaco Culture National Historical Park (CHCU), and El Malpaís National Monument (ELMA). The primary emphasis at these three parks was on nonvolant mammals, as personnel from the Field Station had worked earlier on bats at all three parks (Bogan et al. 1998, Valdez et al. 2002a, 2002b). A final report on inventories at these three parks was submitted in April 2005.
This publication details fieldwork conducted in all eight parks from 2001–2004. The information that appears here was originally contained in two separate reports that have been combined in order to make it easier for readers to find information on SCPN mammal inventories. To remain faithful to the original reports, and because of slightly differing objectives, personnel, and emphases at the two sets of parks, we have generally presented the methods, results, and recommendations separately for the 5-park and 3-park inventories.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Bogan, M., Geluso, K., Haymond, S., and Valdez, E.W., 2007, Mammal inventories for eight National Parks in the Southern Colorado Plateau Network: Natural Resource Technical Report NPS/SCPN/NRTR-2007/054, xiv, 99 p.","productDescription":"xiv, 99 p.","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":334880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589aeab2e4b0efcedb72d245","contributors":{"authors":[{"text":"Bogan, Michael A.","contributorId":27128,"corporation":false,"usgs":true,"family":"Bogan","given":"Michael A.","affiliations":[],"preferred":false,"id":662767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geluso, Keith","contributorId":94637,"corporation":false,"usgs":true,"family":"Geluso","given":"Keith","email":"","affiliations":[],"preferred":false,"id":662768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haymond, Shauna","contributorId":179115,"corporation":false,"usgs":false,"family":"Haymond","given":"Shauna","email":"","affiliations":[],"preferred":false,"id":662769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":662770,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030863,"text":"70030863 - 2007 - Development of a murre (Uria spp.) egg control material","interactions":[],"lastModifiedDate":"2018-08-19T21:54:18","indexId":"70030863","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development of a murre (Uria spp.) egg control material","docAbstract":"The Seabird Tissue Archival and Monitoring Project (STAMP) is a collaborative Alaska-wide effort by the US Fish and Wildlife Service's Alaska Maritime National Wildlife Refuge (USFWS/AMNWR), the US Geological Survey's Biological Resources Division (USGS/BRD), the Bureau of Indian Affairs Alaska Region Subsistence Branch (BIA/ARSB), and the National Institute of Standards and Technology (NIST) to monitor long-term (decadal) trends in environmental contaminants using seabird eggs. To support this effort, a matrix- (seabird egg) and concentration-specific control material was needed to ensure quality during analytical work. Although a herring gull egg quality assurance (HGQA) material is available from Environment Canada (EC), contaminant concentrations in this material tended to be higher than those observed in Alaskan murre (Uria spp.) eggs. Therefore, to prepare a more appropriate control material, a total of 12 common murre (U. aalge) and thick-billed murre (U. lomvia) eggs from four Bering Sea and Gulf of Alaska nesting locations were cryohomogenized to create 190 aliquots each containing approximately 6 g. This new control material was analyzed by different methods at NIST and EC facilities for the determination of concentrations and value assignment of 63 polychlorinated biphenyl (PCB) congeners, 20 organochlorine pesticides, and 11 polybrominated diphenyl ether (PBDE) congeners. The total PCB concentration is approximately 58 ng g -1 wet mass. Results obtained for analytes not listed on the certificates of analysis of the previously used control materials, HGQA and NIST's Standard Reference Material (SRM) 1946 Lake Superior Fish Tissue, are also presented. [Figure not available: see fulltext.]. ?? Springer-Verlag 2007.","largerWorkTitle":"Analytical and Bioanalytical Chemistry","language":"English","doi":"10.1007/s00216-006-0887-2","issn":"16182642","usgsCitation":"Vander Pol, S.S., Ellisor, M., Pugh, R.S., Becker, P., Poster, D., Schantz, M., Leigh, S., Wakeford, B., Roseneau, D.G., and Simac, K.S., 2007, Development of a murre (Uria spp.) egg control material, in Analytical and Bioanalytical Chemistry, v. 387, no. 7, p. 2357-2363, https://doi.org/10.1007/s00216-006-0887-2.","startPage":"2357","endPage":"2363","numberOfPages":"7","costCenters":[],"links":[{"id":238699,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211414,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00216-006-0887-2"}],"volume":"387","issue":"7","noUsgsAuthors":false,"publicationDate":"2006-11-14","publicationStatus":"PW","scienceBaseUri":"505a003ee4b0c8380cd4f674","contributors":{"authors":[{"text":"Vander Pol, Stacy S.","contributorId":38776,"corporation":false,"usgs":false,"family":"Vander Pol","given":"Stacy","email":"","middleInitial":"S.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":428996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellisor, M.B.","contributorId":24166,"corporation":false,"usgs":true,"family":"Ellisor","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":428993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pugh, Rebecca S.","contributorId":11826,"corporation":false,"usgs":false,"family":"Pugh","given":"Rebecca","email":"","middleInitial":"S.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":428992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becker, P.R.","contributorId":101035,"corporation":false,"usgs":true,"family":"Becker","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":429000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poster, D.L.","contributorId":10613,"corporation":false,"usgs":true,"family":"Poster","given":"D.L.","affiliations":[],"preferred":false,"id":428991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schantz, M.M.","contributorId":83733,"corporation":false,"usgs":true,"family":"Schantz","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":428999,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leigh, S.D.","contributorId":45510,"corporation":false,"usgs":true,"family":"Leigh","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":428997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wakeford, B.J.","contributorId":35537,"corporation":false,"usgs":true,"family":"Wakeford","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":428995,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roseneau, David G.","contributorId":73394,"corporation":false,"usgs":false,"family":"Roseneau","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":428998,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":428994,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70180901,"text":"70180901 - 2007 - Qualitative evaluation of rock weir field performance and failure mechanisms","interactions":[],"lastModifiedDate":"2017-02-07T12:51:51","indexId":"70180901","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Qualitative evaluation of rock weir field performance and failure mechanisms","docAbstract":"River spanning loose-rock structures provide sufficient head for irrigation diversion, permit fish passage over barriers, protect banks, stabilize degrading channels, activate side channels, reconnect floodplains, and create in-channel habitat. These structures are called by a variety of names including rock weirs, alphabet (U-, A-, V-, W-) weirs, Jhooks, and rock ramps. These structures share the common characteristics of:
[No abstract available]
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Long-Term Ecological Change in the Northern Gulf of Alaska","language":"English","publisher":"Elsevier","publisherLocation":"Burlington","isbn":"9780444529602","usgsCitation":"Piatt, J.F., and Harding, A., 2007, Population ecology of seabirds in Cook Inlet: Chapter 8, chap. 4 of Long-Term Ecological Change in the Northern Gulf of Alaska, p. 335-352.","productDescription":"18 p.","startPage":"335","endPage":"352","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":324483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57724e33e4b07657d1a819c0","contributors":{"editors":[{"text":"Spies, Robert B.","contributorId":146523,"corporation":false,"usgs":false,"family":"Spies","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":640910,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":640908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harding, Ann","contributorId":172489,"corporation":false,"usgs":false,"family":"Harding","given":"Ann","email":"","affiliations":[],"preferred":false,"id":640909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174851,"text":"70174851 - 2007 - Climate matching as a tool for predicting potential North American spread of Brown Treesnakes","interactions":[],"lastModifiedDate":"2016-07-18T16:40:33","indexId":"70174851","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Climate matching as a tool for predicting potential North American spread of Brown Treesnakes","docAbstract":"Climate matching identifies extralimital destinations that could be colonized by a potential invasive species on the basis of similarity to climates found in the species’ native range. Climate is a proxy for the factors that determine whether a population will reproduce enough to offset mortality. Previous climate matching models (e.g., Genetic Algorithm for Rule-set Prediction [GARP]) for brown treesnakes (Boiga irregularis) were unsatisfactory, perhaps because the models failed to allow different combinations of climate attributes to influence a species’ range limits in different parts of the range. Therefore, we explored the climate space described by bivariate parameters of native range temperature and rainfall, allowing up to two months of aestivation in the warmer portions of the range, or four months of hibernation in temperate climes. We found colonization area to be minimally sensitive to assumptions regarding hibernation temperature thresholds. Although brown treesnakes appear to be limited by dry weather in the interior of Australia, aridity rarely limits potential distribution in most of the world. Potential colonization area in North America is limited primarily by cold. Climatically suitable portions of the United States (US) mainland include the Central Valley of California, mesic patches in the Southwest, and the southeastern coastal plain from Texas to Virginia.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing Vertebrate Invasive Species – Proceedings of a Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"USDA/APHIS/WS, National Wildlife Research Center","usgsCitation":"Rodda, G.H., Reed, R., and Jarnevich, C.S., 2007, Climate matching as a tool for predicting potential North American spread of Brown Treesnakes, in Managing Vertebrate Invasive Species – Proceedings of a Symposium, p. 138-145.","productDescription":"8 p.","startPage":"138","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325405,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.aphis.usda.gov/wildlife_damage/nwrc/symposia/invasive_symposium/content/Rodda138_145_MVIS.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdaee4b0f1bea0e0f81b","contributors":{"editors":[{"text":"Witmer, G.W.","contributorId":35429,"corporation":false,"usgs":true,"family":"Witmer","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":642805,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pitt, W. 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This sharing facilitates the research of other governmental agencies, universities, and those interested in the study of wetlands.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073028","usgsCitation":"Broussard, L., 2007, Welcome to the National Wetlands Research Center Library: Not Just Another Library-A Special Library (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3028, 2 p., https://doi.org/10.3133/fs20073028.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":121007,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3028.jpg"},{"id":9519,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3028/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48c4e4b07f02db53f09a","contributors":{"authors":[{"text":"Broussard, Linda broussardl@usgs.gov","contributorId":2426,"corporation":false,"usgs":true,"family":"Broussard","given":"Linda","email":"broussardl@usgs.gov","affiliations":[],"preferred":true,"id":290930,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70174300,"text":"70174300 - 2007 - Adjusting for telemetry bias in behavior data","interactions":[],"lastModifiedDate":"2018-06-16T17:50:34","indexId":"70174300","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Adjusting for telemetry bias in behavior data","docAbstract":"No abstract available.
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S. Geological Survey’s Alaska Science Center conducted an inventory of birds in montane regions of Katmai and Lake Clark National Parks and Preserves during 2004–2006. We used a stratified random survey design to allocate samples by ecological subsection. To survey for birds, we conducted counts at 468 points across 29, 10-km x 10-km (6.2-mi x 6.2-mi) sample plots in Katmai and 417 points across 25, 10-km x 10-km sample plots in Lake Clark. We detected 92 and 104 species in Katmai and Lake Clark, respectively, including 40 species of conservation concern. We detected three species not previously recorded in Katmai (Ring-necked Duck [Aythya collaris], Lesser Scaup [Aythya affinis], and White-tailed Ptarmigan [Lagopus leucurus]) and two species not previously recorded in Lake Clark (Northern Flicker [Colaptes auratus ] and Olive-sided Flycatcher [Contopus cooperi]). The most commonly detected species in both parks was Golden-crowned Sparrow (Zonotrichia atricapilla); Fox Sparrow (Passerella iliaca) and American Pipit (Anthus rubescens) were abundant and widely-distributed as well. We defined sites as low (100–350 m), middle (351–600 m), or high (601–1,620 m) elevation based on the distribution of vegetation cover, and similarly categorized the 34 most-commonly detected species based on the mean elevation of sample points at which they were detected. High elevation (i.e., alpine) sites were characterized by high percent cover of dwarf shrub and bare ground habitat and supported species like Rock Ptarmigan (L. mutus), American Golden-Plover (Pluvialis dominica), Wandering Tattler (Tringa incana), Surfbird (Aphriza virgata), and Snow Bunting (Plectrophenax nivalis), all species of conservation concern. This inventory represents the first systematic survey of birds nesting in montane regions of both parks. 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","largerWorkType":{"id":18,"text":"Report"},"publisher":"USGS Alaska Science Center","publisherLocation":"Anchorage, AK","usgsCitation":"Ruthrauff, D.R., Tibbitts, T.L., Gill, R., and Handel, C.M., 2007, Inventory of montane-nesting birds in Katmai and Lake Clark national parks and preserves, 101 p.","productDescription":"101 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":325373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":363289,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://ecos.fws.gov/ServCat/DownloadFile/134915?Reference=89454"}],"country":"United States","state":"Alaska","publicComments":"Report Number: NPS/AKRSWAN/NRTR-2007/02","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdb3e4b0f1bea0e0f877","contributors":{"authors":[{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":642735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbitts, T. 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Additionally, the spatial and temporal distribution of contamination in the Estuary is highly variable, and levels of contamination covary with other environmental factors, such as freshwater inflow or sediment-type. Federal and State regulatory agencies desire to develop biological criteria to protect the Estuary's biological resources. Future studies of biological effects in San Francisco Estuary should focus on the development of meaningful indicators of biological effects, and on key organism and contaminants of concern in long-term, multifaceted studies that include laboratory and field experiments to determine cause and effect to adequately inform management and regulatory decisions.
The Brown-headed Cowbird (Molothrus ater) reaches its highest abundance in the northern Great Plains, but much of our understanding of cowbird ecology and host-parasite interactions comes from areas outside of this region. We examine cowbird brood parasitism and densities during two studies of breeding birds in the northern Great Plains during 1990–2006. We found 2649 active nests of 75 species, including 746 nonpasserine nests and 1902 passerine nests. Overall, <1% of nonpasserine nests and 25% of passerine nests were parasitized by Brown-headed Cowbirds. Although the overall frequency of cowbird parasitism in passerine nests in these two studies is considered moderate, the frequency of multiple parasitism among parasitized nests was heavy (nearly 50%). The mean number of cowbird eggs per parasitized passerine nest was 1.9 ± 1.2 (SD; range = 1–8 cowbird eggs). The parasitism rates were 9.5% for passerines that typically nest in habitats characterized by woody vegetation, 16.4% for grassland-nesting passerines, 4.7% for passerines known to consistently eject cowbird eggs, and 28.2% for passerines that usually accept cowbird eggs. The Red-winged Blackbird (Agelaius phoeniceus) was the most commonly parasitized species (43.1% parasitism, 49.6% multiple parasitism, 71.2% of all cases of parasitism). Passerine nests found within areas of higher female cowbird abundance experienced higher frequencies of cowbird parasitism than those found in areas of lower female cowbird abundance. Densities of female cowbirds were positively related to densities and richness of other birds in the breeding bird community.
","language":"English","publisher":"PKP Publishing Services Network","doi":"10.22621/cfn.v121i3.471","issn":"00083","usgsCitation":"Igl, L., and Johnson, D.H., 2007, Brown-headed cowbird, Molothrus ater, parasitism and abundance in the northern Great Plains: Canadian Field-Naturalist, v. 121, no. 3, p. 239-255, https://doi.org/10.22621/cfn.v121i3.471.","productDescription":"17 p.","startPage":"239","endPage":"255","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":487078,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v121i3.471","text":"Publisher Index Page"},{"id":241519,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Montana, North Dakota, South Dakota","otherGeospatial":"Great Northern Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.8203125,\n 44.653024159812\n ],\n [\n -96.1083984375,\n 44.653024159812\n ],\n [\n -96.1083984375,\n 49.06666839558117\n ],\n [\n -105.8203125,\n 49.06666839558117\n ],\n [\n -105.8203125,\n 44.653024159812\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-07-01","publicationStatus":"PW","scienceBaseUri":"5059f28fe4b0c8380cd4b252","contributors":{"authors":[{"text":"Igl, L.D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":13568,"corporation":false,"usgs":true,"family":"Igl","given":"L.D.","affiliations":[],"preferred":false,"id":436815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":70327,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":436816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":2001144,"text":"2001144 - 2007 - Twenty-four years of Great Lakes lichen studies provide park biomonitoring baselines","interactions":[],"lastModifiedDate":"2012-02-02T00:14:59","indexId":"2001144","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":66,"text":"Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"D-1859","title":"Twenty-four years of Great Lakes lichen studies provide park biomonitoring baselines","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Natural Resource Year in Review-2006","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Denver, CO","usgsCitation":"Bennett, J.P., 2007, Twenty-four years of Great Lakes lichen studies provide park biomonitoring baselines: Report D-1859, p. 39-40.","productDescription":"p. 39-40","startPage":"39","endPage":"40","numberOfPages":"2","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":198479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":14716,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.cesu.umn.edu/documents/ProjectReports/UW.M/UMW_NPS_05.YIR2006.pdf","linkFileType":{"id":1,"text":"pdf"},"description":"1623.000000000000000"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db623d74","contributors":{"authors":[{"text":"Bennett, J. P.","contributorId":52103,"corporation":false,"usgs":true,"family":"Bennett","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":325460,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70032113,"text":"70032113 - 2007 - Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA","interactions":[],"lastModifiedDate":"2014-09-02T09:35:34","indexId":"70032113","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA","docAbstract":"The realization that coral reef ecosystem management must occur across multiple spatial scales and habitat types has led scientists and resource managers to seek variables that are easily measured over large areas and correlate well with reef resources. Here we investigate the utility of new technology in airborne laser surveying (NASA Experimental Advanced Airborne Research Lidar (EAARL)) in assessing topographical complexity (rugosity) to predict reef fish community structure on shallow (<10 m deep) patch reefs. Marine portions of Biscayne National Park, Florida, USA, were surveyed remotely using the EAARL, and reef fish populations were visually surveyed on 10 patch reefs at independent, randomly selected stations (n = 10–13 per reef). Rugosity at each station was assessed in situ by divers using the traditional chain-transect method (10-m scale), and remotely using the EAARL submarine topography data at multiple spatial scales (2, 5, and 10 m). The rugosity and biological datasets were analyzed together to elucidate the predictive power of EAARL rugosity in describing the variance in reef fish community variables and to assess the correlation between chain-transect and EAARL rugosity. EAARL rugosity was not well correlated with chain-transect rugosity, or with species richness of fishes (although statistically significant, the amount of variance explained by the model was very low). Variance in reef fish community attributes was better explained in reef-by-reef variability than by physical variables. However, once the reef-by-reef variability was taken into account in a two-way analysis of variance, the importance of rugosity could be seen on individual reefs. Fish species richness and abundance were statistically higher at high rugosity stations compared to medium and low rugosity stations, as predicted by prior ecological research. The EAARL shows promise as an important mapping tool for reef resource managers as they strive to inventory and protect coral reef resources.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10641-006-9078-4","issn":"03781909","usgsCitation":"Kuffner, I.B., Brock, J., Grober-Dunsmore, R., Bonito, V.E., Hickey, T.D., and Wright, C.W., 2007, Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA: Environmental Biology of Fishes, v. 78, no. 1, p. 71-82, https://doi.org/10.1007/s10641-006-9078-4.","productDescription":"12 p.","startPage":"71","endPage":"82","numberOfPages":"12","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":214594,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-006-9078-4"},{"id":242333,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.347196,25.291431 ], [ -80.347196,25.671111 ], [ -80.089407,25.671111 ], [ -80.089407,25.291431 ], [ -80.347196,25.291431 ] ] ] } } ] }","volume":"78","issue":"1","noUsgsAuthors":false,"publicationDate":"2006-07-08","publicationStatus":"PW","scienceBaseUri":"505aa64fe4b0c8380cd84db1","contributors":{"authors":[{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":434592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":434591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grober-Dunsmore, Rikki","contributorId":71292,"corporation":false,"usgs":true,"family":"Grober-Dunsmore","given":"Rikki","email":"","affiliations":[],"preferred":false,"id":434594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonito, Victor E.","contributorId":84994,"corporation":false,"usgs":true,"family":"Bonito","given":"Victor","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":434596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hickey, T. Donald","contributorId":71782,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Donald","affiliations":[],"preferred":false,"id":434595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":434593,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033282,"text":"70033282 - 2007 - Sandhill crane abundance and nesting ecology at Grays Lake, Idaho","interactions":[],"lastModifiedDate":"2017-09-08T09:38:48","indexId":"70033282","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sandhill crane abundance and nesting ecology at Grays Lake, Idaho","docAbstract":"We examined population size and factors influencing nest survival of greater sandhill cranes (Grus canadensis tabida) at Grays Lake National Wildlife Refuge, Idaho, USA, during 1997-2000. Average local population of cranes from late April to early May, 1998-2000, was 735 cranes, 34% higher than that reported for May 1970-1971. We estimated 228 (SE = 30) nests in the basin core (excluding renests), 14% higher than a 1971 estimate. Apparent nest success in our study (x?? = 60%, n = 519 nests) was lower than reported for Grays Lake 30-50 years earlier. Daily survival rates (DSRs) of all nests averaged 0.9707 (41.2%). The best model explaining nest survival included year and water depth and their interaction. Nest survival was highest (DSR = 0.9827) in 1998 compared with other years (0.9698-0.9707). Nest survival changed little relative to water depth in 1998, when flooding was extensive and alternative prey (microtines) irrupted, but declined markedly with lower water levels in 2000, the driest year studied. Hypotheses relating nest survival to vegetation height, land use (idle, summer grazing, fall grazing), and date were not supported. In a before-after-control-impact design using 12 experimental fields, nest survival differed among years but not among management treatments (idle, fall graze, fall burn, and summer-graze-idle rotation), nor was there an interaction between year and treatments. However, DSRs in fall-burn fields declined from 0.9781 in 1997-1998 to 0.9503 in 1999-2000 (posttreatment). Changes in the predator community have likely contributed to declines in nest success since the 1950s and 1970s. Our results did not support earlier concerns about effects of habitat management practices on crane productivity. Nest survival could best be enhanced by managing spring water levels. Managers should continue censuses during late April to evaluate long-term relationships to habitat conditions and management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2005-705","issn":"00225","usgsCitation":"Austin, J.E., Henry, A., and Ball, I., 2007, Sandhill crane abundance and nesting ecology at Grays Lake, Idaho: Journal of Wildlife Management, v. 71, no. 4, p. 1067-1079, https://doi.org/10.2193/2005-705.","productDescription":"13 p.","startPage":"1067","endPage":"1079","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":241167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213537,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2005-705"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.41647338867188,\n 43.000755398218224\n ],\n [\n -111.38814926147461,\n 43.000755398218224\n ],\n [\n -111.38814926147461,\n 43.0420453718909\n ],\n [\n -111.41647338867188,\n 43.0420453718909\n ],\n [\n -111.41647338867188,\n 43.000755398218224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505b86a6e4b08c986b316060","contributors":{"authors":[{"text":"Austin, J. E.","contributorId":5999,"corporation":false,"usgs":true,"family":"Austin","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":440155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, A.R.","contributorId":107644,"corporation":false,"usgs":true,"family":"Henry","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":440157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, I.J.","contributorId":104427,"corporation":false,"usgs":true,"family":"Ball","given":"I.J.","affiliations":[],"preferred":false,"id":440156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175149,"text":"70175149 - 2007 - USGS national surveys and analysis projects: Preliminary compilation of integrated geological datasets for the United States","interactions":[],"lastModifiedDate":"2016-08-01T12:38:38","indexId":"70175149","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"USGS national surveys and analysis projects: Preliminary compilation of integrated geological datasets for the United States","docAbstract":"The growth in the use of Geographic \u0018nformation Systems (G\u0018S) has highlighted the need for regional and national digital geologic maps attributed with age and rock type information. Such spatial data can be conveniently used to generate derivative maps for purposes that include mineral-resource assessment, metallogenic studies, tectonic studies, human health and environmental research. \u0018n 1997, the United States Geological Survey’s Mineral Resources Program initiated an effort to develop national digital databases for use in mineral resource and environmental assessments. One primary activity of this effort was to compile a national digital geologic map database, utilizing state geologic maps, to support mineral resource studies in the range of 1:250,000- to 1:1,000,000-scale. Over the course of the past decade, state databases were prepared using a common standard for the database structure, fields, attributes, and data dictionaries. As of late 2006, standardized geological map databases for all conterminous (CONUS) states have been available on-line as USGS Open-File Reports. For Alaska and Hawaii, new state maps are being prepared, and the preliminary work for Alaska is being released as a series of 1:500,000-scale regional compilations. See below for a list of all published databases.
","conferenceTitle":"Digital Mapping Techniques '06","conferenceDate":"June 11-14, 2006","conferenceLocation":"Columbus, OH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Nicholson, S.W., Stoeser, D.B., Wilson, F.H., Dicken, C., and Ludington, S., 2007, USGS national surveys and analysis projects: Preliminary compilation of integrated geological datasets for the United States, Digital Mapping Techniques '06, Columbus, OH, June 11-14, 2006, p. 1-7.","productDescription":"7 p.","startPage":"1","endPage":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":325870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325869,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1285/pdf/Nicholson.pdf","text":"http://pubs.usgs.gov/of/2007/1285/pdf/Nicholson.pdf","size":"18KB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a072c0e4b060ce18fb2e62","contributors":{"authors":[{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":644097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoeser, Douglas B. dstoeser@usgs.gov","contributorId":1821,"corporation":false,"usgs":true,"family":"Stoeser","given":"Douglas","email":"dstoeser@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":644098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":644099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. cdicken@usgs.gov","contributorId":4714,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie L.","email":"cdicken@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":644100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":644101,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033223,"text":"70033223 - 2007 - The influence of major dams on hydrology through the drainage network of the Sacramento River basin, California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033223","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"The influence of major dams on hydrology through the drainage network of the Sacramento River basin, California","docAbstract":"This paper reports basinwide patterns of hydrograph alteration via statistical and graphical analysis from a network of long-term streamflow gauges located various distances downstream of major dams and confluences in the Sacramento River basin in California, USA. Streamflow data from 10 gauging stations downstream of major dams were divided into hydrologic series corresponding to the periods before and after dam construction. Pre- and post-dam flows were compared with respect to hydrograph characteristics representing frequency, magnitude and shape: annual flood peak, annual flow trough, annual flood volume, time to flood peak, flood drawdown time and interarrival time. The use of such a suite of characteristics within a statistical and graphical framework allows for generalising distinct strategies of flood control operation that can be identified without any a priori knowledge of operations rules. Dam operation is highly dependent on the ratio of reservoir capacity to annual flood volume (impounded runoff index). Dams with high values of this index generally completely cut off flood peaks thus reducing time to peak, drawdown time and annual flood volume. Those with low values conduct early and late flow releases to extend the hydrograph, increasing time to peak, drawdown time and annual flood volume. The analyses reveal minimal flood control benefits from foothill dams in the lower Sacramento River (i.e. dissipation of the down-valley flood control signal). The lower part of the basin is instead reliant on a weir and bypass system to control lowland flooding. Data from a control gauge (i.e. with no upstream dams) suggest a background signature of global climate change expressed as shortened flood hydrograph falling limbs and lengthened flood interarrival times at low exceedence probabilities. This research has implications for flood control, water resource management, aquatic and riparian ecosystems and for rehabilitation strategies involving flow alteration and/or manipulation of sediment supplies. Copyright ?? 2006 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.968","issn":"15351459","usgsCitation":"Singer, M., 2007, The influence of major dams on hydrology through the drainage network of the Sacramento River basin, California: River Research and Applications, v. 23, no. 1, p. 55-72, https://doi.org/10.1002/rra.968.","startPage":"55","endPage":"72","numberOfPages":"18","costCenters":[],"links":[{"id":213187,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.968"},{"id":240790,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2006-10-26","publicationStatus":"PW","scienceBaseUri":"505bad2de4b08c986b323a2a","contributors":{"authors":[{"text":"Singer, M.B.","contributorId":67274,"corporation":false,"usgs":true,"family":"Singer","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":439906,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70032985,"text":"70032985 - 2007 - Platinum group elements and gold in ferromanganese crusts from Afanasiy-Nikitin seamount, equatorial Indian Ocean: Sources and fractionation","interactions":[],"lastModifiedDate":"2023-10-06T11:04:46.918013","indexId":"70032985","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2239,"text":"Journal of Earth System Science","active":true,"publicationSubtype":{"id":10}},"title":"Platinum group elements and gold in ferromanganese crusts from Afanasiy-Nikitin seamount, equatorial Indian Ocean: Sources and fractionation","docAbstract":"The major element relationships in ferromanganese (Fe-Mn) crusts from Afanasiy-Nikitin seamount (ANS), eastern equatorial Indian Ocean, appear to be atypical. High positive correlations (r = 0.99) between Mn/Co and Fe/Co ratios, and lack of correlation of those ratios with Co, Ce, and Ce/Co, indicate that the ANS Fe-Mn crusts are distinct from Pacific seamount Fe-Mn crusts, and reflect region-specific chemical characteristics. The platinum group elements (PGE: Ir, Ru, Rh, Pt, and Pd) and Au in ANS Fe-Mn crusts are derived from seawater and are mainly of terrestrial origin, with a minor cosmogenic component. The Ru/Rh (0.5–2) and Pt/Ru ratios (7–28) are closely comparable to ratios in continental basalts, whereas Pd/Ir ratios exhibit values (<2) similar to CI-chondrite (∼1). The chondrite-normalized PGE patterns are similar to those of igneous rocks, except that Pd is relatively depleted. The water depth of Fe-Mn crust formation appears to have a first-order control on both major element and PGE enrichments. These relationships are defined statistically by significant (r > 0.75) correlations between water depth and Mn/Co, Fe/Co, Ce/Co, Co, and the PGEs. Fractionation of the PGE-Au from seawater during colloidal precipitation of the major-oxide phases is indicated by well-defined linear positive correlations (r > 0.8) of Co and Ce with Ir, Ru, Rh, and Pt; Au/Co with Mn/Co; and by weak or no correlations of Pd with water depth, Co-normalized major-element ratios, and with the other PGE (r < 0.5). The strong enrichment of Pt (up to 1 ppm) relative to the other PGE and its positive correlations with Ce and Co demonstrate a common link for the high concentrations of all three elements, which likely involves an oxidation reaction on the Mn-oxide and Fe-oxyhydroxide surfaces. The documented fractionation of PGE-Au and their positive association with redox sensitive Co and Ce may have applications in reconstructing past-ocean redox conditions and water masses.
Two spatially-explicit estimates of gross primary production (GPP) are available for the Northern Great Plains. An empirical piecewise regression (PWR) GPP model was developed from flux tower measurements to map carbon flux across the region. The Moderate Resolution Imaging Spectrometer (MODIS) GPP model is a process-based model that uses flux tower data to calibrate its parameters. Verification and comparison of the regional PWR GPP and the global MODIS GPP are important for the modeling of grassland carbon flux. This study compared GPP estimates from PWR and MODIS models with five towers in the grasslands. Among them, PWR GPP and MODIS GPP showed a good agreement with tower-based GPP at three towers. The global MODIS GPP, however, did not agree well with tower-based GPP at two other towers, probably because of the insensitivity of MODIS model to regional ecosystem and climate change and extreme soil moisture conditions. Cross-validation indicated that the PWR model is relatively robust for predicting regional grassland GPP. However, the PWR model should include a wide variety of flux tower data as the training data sets to obtain more accurate results.
In addition, GPP maps based on the PWR and MODIS models were compared for the entire region. In the northwest and south, PWR GPP was much higher than MODIS GPP. These areas were characterized by the higher water holding capacity with a lower proportion of C4 grasses in the northwest and a higher proportion of C4 grasses in the south. In the central and southeastern regions, PWR GPP was much lower than MODIS GPP under complicated conditions with generally mixed C3/C4 grasses. The analysis indicated that the global MODIS GPP model has some limitations on detecting moisture stress, which may have been caused by the facts that C3 and C4 grasses are not distinguished, water stress is driven by vapor pressure deficit (VPD) from coarse meteorological data, and MODIS land cover data are unable to differentiate the sub-pixel cropland components.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2006.08.012","issn":"00344257","usgsCitation":"Zhang, L., Wylie, B.K., Loveland, T.R., Fosnight, E.A., Tieszen, L.L., Ji, L., and Gilmanov, T., 2007, Evaluation and comparison of gross primary production estimates for the Northern Great Plains grasslands: Remote Sensing of Environment, v. 106, no. 2, p. 173-189, https://doi.org/10.1016/j.rse.2006.08.012.","productDescription":"17 p.","startPage":"173","endPage":"189","numberOfPages":"17","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":240817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213213,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2006.08.012"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c05e4b0c8380cd529d7","contributors":{"authors":[{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":439467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":439469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":439471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fosnight, Eugene A. 0000-0002-8557-3697 fosnight@usgs.gov","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":2961,"corporation":false,"usgs":true,"family":"Fosnight","given":"Eugene","email":"fosnight@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":439468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":439466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":439472,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":439470,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70032991,"text":"70032991 - 2007 - Lateral spread hazard mapping of the northern Salt Lake Valley, Utah, for a M7.0 scenario earthquake","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70032991","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Lateral spread hazard mapping of the northern Salt Lake Valley, Utah, for a M7.0 scenario earthquake","docAbstract":"This paper describes the methodology used to develop a lateral spread-displacement hazard map for northern Salt Lake Valley, Utah, using a scenario M7.0 earthquake occurring on the Salt Lake City segment of the Wasatch fault. The mapping effort is supported by a substantial amount of geotechnical, geologic, and topographic data compiled for the Salt Lake Valley, Utah. ArcGIS?? routines created for the mapping project then input this information to perform site-specific lateral spread analyses using methods developed by Bartlett and Youd (1992) and Youd et al. (2002) at individual borehole locations. The distributions of predicted lateral spread displacements from the boreholes located spatially within a geologic unit were subsequently used to map the hazard for that particular unit. The mapped displacement zones consist of low hazard (0-0.1 m), moderate hazard (0.1-0.3 m), high hazard (0.3-1.0 m), and very high hazard (> 1.0 m). As expected, the produced map shows the highest hazard in the alluvial deposits at the center of the valley and in sandy deposits close to the fault. This mapping effort is currently being applied to the southern part of the Salt Lake Valley, Utah, and probabilistic maps are being developed for the entire valley. ?? 2007, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.2424987","issn":"87552930","usgsCitation":"Olsen, M., Bartlett, S., and Solomon, B., 2007, Lateral spread hazard mapping of the northern Salt Lake Valley, Utah, for a M7.0 scenario earthquake: Earthquake Spectra, v. 23, no. 1, p. 95-113, https://doi.org/10.1193/1.2424987.","startPage":"95","endPage":"113","numberOfPages":"19","costCenters":[],"links":[{"id":213238,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.2424987"},{"id":240843,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-01","publicationStatus":"PW","scienceBaseUri":"505a4576e4b0c8380cd6733c","contributors":{"authors":[{"text":"Olsen, M.J.","contributorId":56043,"corporation":false,"usgs":true,"family":"Olsen","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":438859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlett, S.F.","contributorId":11008,"corporation":false,"usgs":true,"family":"Bartlett","given":"S.F.","email":"","affiliations":[],"preferred":false,"id":438858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solomon, B.J.","contributorId":10045,"corporation":false,"usgs":true,"family":"Solomon","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":438857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032925,"text":"70032925 - 2007 - Trace analysis of trimethoprim and sulfonamide, macrolide, quinolone, and tetracycline antibiotics in chlorinated drinking water using liquid chromatography electrospray tandem mass spectrometry","interactions":[],"lastModifiedDate":"2012-03-12T17:21:37","indexId":"70032925","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Trace analysis of trimethoprim and sulfonamide, macrolide, quinolone, and tetracycline antibiotics in chlorinated drinking water using liquid chromatography electrospray tandem mass spectrometry","docAbstract":"A multirun analytical method has been developed and validated for trace determination of 24 antibiotics including 7 sulfonamides, 3 macrolides, 7 quinolones, 6 tetracyclines, and trimethoprim in chlorine-disinfected drinking water using a single solid-phase extraction method coupled to liquid chromatography with positive electrospray tandem mass spectrometry detection. The analytes were extracted by a hydrophilic-lipophilic balanced resin and eluted with acidified methanol (0.1% formic acid), resulting in analyte recoveries generally above 90%. The limits of quantitation were mostly below 10 ng/L in drinking water. Since the concentrated sample matrix typically caused ion suppression during electrospray ionization, the method of standard addition was used for quantitation. Chlorine residuals in drinking water can react with some antibiotics, but ascorbic acid was found to be an effective chlorine quenching agent without affecting the analysis and stability of the antibiotics in water. A preliminary occurrence study using this method revealed the presence of some antibiotics in drinking waters, including sulfamethoxazole (3.0-3.4 ng/L), macrolides (1.4-4.9 ng/L), and quinolones (1.2-4.0 ng/L). ?? 2007 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Analytical Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/ac060972a","issn":"00032700","usgsCitation":"Ye, Z., Weinberg, H., and Meyer, M.T., 2007, Trace analysis of trimethoprim and sulfonamide, macrolide, quinolone, and tetracycline antibiotics in chlorinated drinking water using liquid chromatography electrospray tandem mass spectrometry: Analytical Chemistry, v. 79, no. 3, p. 1135-1144, https://doi.org/10.1021/ac060972a.","startPage":"1135","endPage":"1144","numberOfPages":"10","costCenters":[],"links":[{"id":213266,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac060972a"},{"id":240875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-12-22","publicationStatus":"PW","scienceBaseUri":"505bb630e4b08c986b326af0","contributors":{"authors":[{"text":"Ye, Z.","contributorId":46771,"corporation":false,"usgs":true,"family":"Ye","given":"Z.","email":"","affiliations":[],"preferred":false,"id":438543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weinberg, H.S.","contributorId":52404,"corporation":false,"usgs":true,"family":"Weinberg","given":"H.S.","email":"","affiliations":[],"preferred":false,"id":438544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, M. T.","contributorId":92279,"corporation":false,"usgs":true,"family":"Meyer","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":438545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033222,"text":"70033222 - 2007 - Hazards from hydrothermally sealed volcanic conduits","interactions":[],"lastModifiedDate":"2019-02-25T15:10:22","indexId":"70033222","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Hazards from hydrothermally sealed volcanic conduits","docAbstract":"The 17 March 2006 eruption from Raoul Island (Kermadec arc, north of New Zealand) is interpreted as a magmatic‐hydrothermal event triggered by shaking associated with a swarm of local earthquakes. The eruption, which tragically claimed the life of New Zealand Department of Conservation Ranger Mark Kearney, occurred without significant volcanic seismicity or any of the precursory responses the volcanic hydrothermal system exhibited prior to a similarly sized eruption in 1964.
Preliminary evidence suggests that the absence of precursory behavior is probably the consequence of hydrothermal sealing of the volcanic conduit since the 1964 eruption, and points to potential hazards associated with quiescent oceanic island volcanoes.