Identifying spawning behavior in Pacific halibut, Hippoglossus stenolepis, is particularly challenging because they occupy a deep, remote environment during the spawning season. To identify spawning events, a method is needed in which direct observation by humans is not employed. Spawning behavior of seven other flatfish, species has been directly observed in their natural environment by investigators using SCUBA. All of these flatfish species display almost identical spawning behavior that follows a routine. Therefore, it is reasonable to believe that this spawning behavior occurs in other flatfish species, including Pacific halibut. As part of a larger study, we recaptured two Pacific halibut on which Pop-up Archival Transmitting (PAT) tags had been attached during the winter spawning season. Because the tags were physically retrieved, we were able to collect minute-by-minute depth records for 135 and 155 days. We used these depth data to tentatively identify spawning events. On seven separate occasions between 20 January 2001 and 9 February 2001, one fish displayed a conspicuous routine only seen during the spawning season of Pacific halibut and the routine parallels the actions of other spawning flatfish directly observed by humans using SCUBA. Therefore, we propose this routine represents spawning behavior in Pacific halibut. The second tagged fish did not display the conspicuous routine, thus challenging the assumption that Pacific halibut are annual spawners. PAT tags may prove to be a useful tool for identifying spawning events of Pacific halibut, and that knowledge may be used for improved management in the future.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10641-005-3216-2","issn":"03781909","usgsCitation":"Seitz, A., Norcross, B.L., Wilson, D., and Nielsen, J., 2005, Identifying spawning behavior in Pacific halibut (Hippoglossus stenolepis) using electronic tags: Environmental Biology of Fishes, v. 73, no. 4, p. 445-451, https://doi.org/10.1007/s10641-005-3216-2.","productDescription":"7 p.","startPage":"445","endPage":"451","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":237926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210872,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-005-3216-2"}],"volume":"73","issue":"4","noUsgsAuthors":false,"publicationDate":"2005-08-01","publicationStatus":"PW","scienceBaseUri":"505a3858e4b0c8380cd61534","contributors":{"authors":[{"text":"Seitz, A.C.","contributorId":71756,"corporation":false,"usgs":true,"family":"Seitz","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":423051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norcross, Brenda L.","contributorId":21497,"corporation":false,"usgs":false,"family":"Norcross","given":"Brenda","email":"","middleInitial":"L.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":423049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, D.","contributorId":30353,"corporation":false,"usgs":true,"family":"Wilson","given":"D.","affiliations":[],"preferred":false,"id":423050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, J.L.","contributorId":105665,"corporation":false,"usgs":true,"family":"Nielsen","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":423052,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70029386,"text":"70029386 - 2005 - Behavior of a chlorinated ethene plume following source-area treatment with Fenton's reagent","interactions":[],"lastModifiedDate":"2018-10-31T09:11:06","indexId":"70029386","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Behavior of a chlorinated ethene plume following source-area treatment with Fenton's reagent","docAbstract":"Monitoring data collected over a 6‐year period show that a plume of chlorinated ethene–contaminated ground water has contracted significantly following treatment of the contaminant source area using in situ oxidation. Prior to treatment (1998), concentrations of perchloroethene (PCE) exceeded 4500 μg/L in a contaminant source area associated with a municipal landfill in Kings Bay, Georgia. The plume emanating from this source area was characterized by vinyl chloride (VC) concentrations exceeding 800 μg/L. In situ oxidation using Fenton's reagent lowered PCE concentrations in the source area below 100 μg/L, and PCE concentrations have not rebounded above this level since treatment. In the 6 years following treatment, VC concentrations in the plume have decreased significantly. These concentration declines can be attributed to the movement of Fenton's reagent–treated water downgradient through the system, the cessation of a previously installed pump‐and‐treat system, and the significant natural attenuation capacity of this anoxic aquifer. While in situ oxidation briefly decreased the abundance and activity of microorganisms in the source area, this activity rebounded in <6 months. Nevertheless, the shift from sulfate‐reducing to Fe(III)‐reducing conditions induced by Fenton's treatment may have decreased the efficiency of reductive dechlorination in the injection zone. The results of this study indicate that source‐area removal actions, particularly when applied to ground water systems that have significant natural attenuation capacity, can be effective in decreasing the areal extent and contaminant concentrations of chlorinated ethene plumes.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6592.2005.0020.x","issn":"10693629","usgsCitation":"Chapelle, F.H., Bradley, P., and Casey, C., 2005, Behavior of a chlorinated ethene plume following source-area treatment with Fenton's reagent: Ground Water Monitoring and Remediation, v. 25, no. 2, p. 131-141, https://doi.org/10.1111/j.1745-6592.2005.0020.x.","productDescription":"11 p.","startPage":"131","endPage":"141","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":237668,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210673,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2005.0020.x"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2005-05-27","publicationStatus":"PW","scienceBaseUri":"5059f09fe4b0c8380cd4a7f9","contributors":{"authors":[{"text":"Chapelle, F. H.","contributorId":101697,"corporation":false,"usgs":true,"family":"Chapelle","given":"F.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":422519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, P. M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":29465,"corporation":false,"usgs":true,"family":"Bradley","given":"P. M.","affiliations":[],"preferred":false,"id":422518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casey, C.C.","contributorId":10206,"corporation":false,"usgs":true,"family":"Casey","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":422517,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70029696,"text":"70029696 - 2005 - Late Neogene and Quaternary evolution of the northern Albemarle Embayment (mid-Atlantic continental margin, USA)","interactions":[],"lastModifiedDate":"2017-09-06T13:19:11","indexId":"70029696","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Late Neogene and Quaternary evolution of the northern Albemarle Embayment (mid-Atlantic continental margin, USA)","docAbstract":"Seismic surveys in the eastern Albemarle Sound, adjacent tributaries and the inner continental shelf define the regional geologic framework and provide insight into the sedimentary evolution of the northern North Carolina coastal system. Litho- and chronostratigraphic data are derived from eight drill sites on the Outer Banks barrier islands, and the Mobil #1 well in eastern Albemarle Sound. Within the study area, parallel-bedded, gently dipping Miocene beds occur at 95 to > 160 m below sea level (m bsl), and are overlain by a southward-thickening Pliocene unit characterized by steeply inclined, southward-prograding beds. The lower Pliocene unit consists of three seismic sequences. The 55–60 m thick Quaternary section unconformably overlies the Pliocene unit, and consists of 18 seismic sequences exhibiting numerous incised channel-fill facies. Shallow stratigraphy (< 40 m bsl) is dominated by complex fill patterns within the incised paleo-Roanoke River valley. Radiocarbon and amino-acid racemization (AAR) ages indicate that the valley-fill is latest Pleistocene to Holocene in age. At least six distinct valley-fill units are identified in the seismic data. Cores in the valley-fill contain a 3–6 m thick basal fluvial channel deposit that is overlain by a 15 m thick unit of interlaminated muds and sands of brackish water origin that exhibit increasing marine influence upwards. Organic materials within the interlaminated deposits have ages of 13–11 cal. ka. The interlaminated deposits within the valley are overlain by several units that comprise shallow marine sediments (bay-mouth and shoreface environments) that consist of silty, fine- to medium-grained sands containing open neritic foraminifera, suggesting that this area lacked a fronting barrier island system and was an open embayment from ∼10 ka to ∼4.5 ka. Seismic data show that initial infilling of the paleo-Roanoke River valley occurred from the north and west during the late Pleistocene and early Holocene. Later infilling occurred from the south and east and is characterized by a large shoal body (Colington Island and Shoals) and adjacent inlet fill. Establishment of a continuous barrier island system across the bay-mouth resulted in deposition of the latest phase of valley-fill, characterized by estuarine organic-rich muds.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.margeo.2005.02.030","issn":"00253227","usgsCitation":"Mallinson, D., Riggs, S., Thieler, E., Culver, S., Farrell, K., Foster, D., Corbett, D., Horton, B., and Wehmiller, J., 2005, Late Neogene and Quaternary evolution of the northern Albemarle Embayment (mid-Atlantic continental margin, USA): Marine Geology, v. 217, no. 1-2, p. 97-117, https://doi.org/10.1016/j.margeo.2005.02.030.","productDescription":"21 p.","startPage":"97","endPage":"117","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":240340,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Albemarle Embayment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.47558593749999,\n 34.45221847282654\n ],\n [\n -75.025634765625,\n 34.45221847282654\n ],\n [\n -75.025634765625,\n 36.55377524336089\n ],\n [\n -77.47558593749999,\n 36.55377524336089\n ],\n [\n -77.47558593749999,\n 34.45221847282654\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"217","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a44f7e4b0c8380cd66f16","contributors":{"authors":[{"text":"Mallinson, D.","contributorId":93686,"corporation":false,"usgs":true,"family":"Mallinson","given":"D.","affiliations":[],"preferred":false,"id":423891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riggs, S.","contributorId":104710,"corporation":false,"usgs":true,"family":"Riggs","given":"S.","email":"","affiliations":[],"preferred":false,"id":423893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E.R. 0000-0003-4311-9717","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":93082,"corporation":false,"usgs":true,"family":"Thieler","given":"E.R.","affiliations":[],"preferred":false,"id":423890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, S.","contributorId":30450,"corporation":false,"usgs":true,"family":"Culver","given":"S.","email":"","affiliations":[],"preferred":false,"id":423886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farrell, K.","contributorId":95688,"corporation":false,"usgs":true,"family":"Farrell","given":"K.","email":"","affiliations":[],"preferred":false,"id":423892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foster, D.S.","contributorId":30641,"corporation":false,"usgs":true,"family":"Foster","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":423887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corbett, D.R.","contributorId":73791,"corporation":false,"usgs":true,"family":"Corbett","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":423889,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Horton, B.","contributorId":25341,"corporation":false,"usgs":true,"family":"Horton","given":"B.","affiliations":[],"preferred":false,"id":423885,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wehmiller, J.F.","contributorId":37891,"corporation":false,"usgs":false,"family":"Wehmiller","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":423888,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70029066,"text":"70029066 - 2005 - Supergene destruction of a hydrothermal replacement alunite deposit at Big Rock Candy Mountain, Utah: Mineralogy, spectroscopic remote sensing, stable-isotope, and argon-age evidences","interactions":[],"lastModifiedDate":"2018-01-31T10:31:32","indexId":"70029066","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Supergene destruction of a hydrothermal replacement alunite deposit at Big Rock Candy Mountain, Utah: Mineralogy, spectroscopic remote sensing, stable-isotope, and argon-age evidences","docAbstract":"Big Rock Candy Mountain is a prominent center of variegated altered volcanic rocks in west-central Utah. It consists of the eroded remnants of a hypogene alunite deposit that, at ∼21 Ma, replaced intermediate-composition lava flows. The alunite formed in steam-heated conditions above the upwelling limb of a convection cell that was one of at least six spaced at 3- to 4-km intervals around the margin of a monzonite stock. Big Rock Candy Mountain is horizontally zoned outward from an alunite core to respective kaolinite, dickite, and propylite envelopes. The altered rocks are also vertically zoned from a lower pyrite–propylite assemblage upward through assemblages successively dominated by hypogene alunite, jarosite, and hematite, to a flooded silica cap. This hydrothermal assemblage is undergoing natural destruction in a steep canyon downcut by the Sevier River in Marysvale Canyon. Integrated geological, mineralogical, spectroscopic remote sensing using AVIRIS data, Ar radiometric, and stable isotopic studies trace the hypogene origin and supergene destruction of the deposit and permit distinction of primary (hydrothermal) and secondary (weathering) processes. This destruction has led to the formation of widespread supergene gypsum in cross-cutting fractures and as surficial crusts, and to natrojarosite, that gives the mountain its buff coloration along ridges facing the canyon. A small spring, Lemonade Spring, with a pH of 2.6 and containing Ca, Mg, Si, Al, Fe, Mn, Cl, and SO4, also occurs near the bottom of the canyon. The 40Ar/39Ar age (21.32±0.07 Ma) of the alunite is similar to that for other replacement alunites at Marysvale. However, the age spectrum contains evidence of a 6.6-Ma thermal event that can be related to the tectonic activity responsible for the uplift that led to the downcutting of Big Rock Candy Mountain by the Sevier River. This ∼6.6 Ma event also is present in the age spectrum of supergene natrojarosite forming today, and probably dates the beginning of supergene alteration at Big Rock Candy Mountain. The δ34S value (11.9‰) of alunite is similar to those for replacement alunite from other deposits in the Marysvale volcanic field. The δ34S values of natrojarosite (0.7‰ to −1.2‰) are similar to those for aqueous sulfate in Lemonade Spring, but are larger than those in pyrite (0.4‰ to −4.7‰). The δ34S and δ18OSO4 values of gypsum show an excellent correlation, with values ranging from 15.2‰ to −5.2‰ and 7‰ to −8.2‰, respectively. The stable-isotope data indicate that the aqueous sulfate for gypsum is a mixture derived from the dissolution of hypogene gypsum and alunite, and from the supergene oxidation of pyrite. The aqueous sulfate for the natrojarosite, however, is derived largely from the supergene oxidation of pyrite, with a minor contribution from the dissolution of alunite and gypsum. The exceptional detailed spectral mapping capabilities of AVIRIS led to the recognition of a small amount of jarosite that is probably the top of the steam-heated system that produced the primary hypogene alteration at Big Rock Candy Mountain.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2004.06.055","usgsCitation":"Cunningham, C.G., Rye, R.O., Rockwell, B.W., Kunk, M.J., and Councell, T.B., 2005, Supergene destruction of a hydrothermal replacement alunite deposit at Big Rock Candy Mountain, Utah: Mineralogy, spectroscopic remote sensing, stable-isotope, and argon-age evidences: Chemical Geology, v. 215, no. 1-4, p. 317-337, https://doi.org/10.1016/j.chemgeo.2004.06.055.","productDescription":"21 p.","startPage":"317","endPage":"337","costCenters":[],"links":[{"id":237788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Big Rock Candy Mountain","volume":"215","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9f57e4b08c986b31e4eb","contributors":{"authors":[{"text":"Cunningham, Charles G.","contributorId":85940,"corporation":false,"usgs":true,"family":"Cunningham","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":421200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rye, Robert O. rrye@usgs.gov","contributorId":1486,"corporation":false,"usgs":true,"family":"Rye","given":"Robert","email":"rrye@usgs.gov","middleInitial":"O.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":421198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":421199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":421201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Councell, Terry B.","contributorId":32301,"corporation":false,"usgs":true,"family":"Councell","given":"Terry","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":421197,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70029685,"text":"70029685 - 2005 - Biochemical effects of lead, zinc, and cadmium from mining on fish in the Tri-States district of northeastern Oklahoma, USA","interactions":[],"lastModifiedDate":"2016-10-26T14:37:32","indexId":"70029685","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biochemical effects of lead, zinc, and cadmium from mining on fish in the Tri-States district of northeastern Oklahoma, USA","docAbstract":"We assessed the exposure of fish from the Spring and Neosho Rivers in northeast Oklahoma, USA, to lead, zinc, and cadmium from historical mining in the Tri-States Mining District (TSMD). Fish (n = 74) representing six species were collected in October 2001 from six sites on the Spring and Neosho Rivers influenced to differing degrees by mining. Additional samples were obtained from the Big River, a heavily contaminated stream in eastern Missouri, USA, and from reference sites. Blood from each fish was analyzed for Pb, Zn, Cd, Fe, and hemoglobin (Hb). Blood also was analyzed for ??-aminolevulinic acid dehydratase (ALA-D) activity. The activity of ALA-D, an enzyme involved in heme synthesis, is inhibited by Pb. Concentrations of Fe and Hb were highly correlated (r = 0.89, p < 0.01) across all species and locations and typically were greater in common carp (Cyprinus carpio) than in other taxa. Concentrations of Pb, Zn, and Cd typically were greatest in fish from sites most heavily affected by mining and lowest in reference samples. The activity of ALA-D, but not concentrations of Hb or Fe, also differed significantly (p < 0.01) among sites and species. Enzyme activity was lowest in fish from mining-contaminated sites and greatest in reference fish, and was correlated negatively with Pb in most species. Statistically significant (p < 0.01) linear regression models that included negative terms for blood Pb explained as much as 68% of the total variation in ALA-D activity, but differences among taxa were highly evident. Positive correlations with Zn were documented in the combined data for channel catfish (Ictalurus punctatus) and flathead catfish (Pylodictis olivaris), as has been reported for other taxa, but not in bass (Micropterus spp.) or carp. In channel catfish, ALA-D activity appeared to be more sensitive to blood Pb than in the other species investigated (i.e., threshold concentrations for inhibition were lower). Such among-species differences are consistent with previous studies. Enzyme activity was inhibited by more than 50% relative to reference sites in channel catfish from several TSMD sites. Collectively, our results indicate that Pb is both bioavailable and active biochemically in the Spring-Neosho River system. ?? 2005 SETAC.","language":"English","publisher":"Wiley","doi":"10.1897/04-332R.1","issn":"07307268","usgsCitation":"Schmitt, C.J., Whyte, J.J., Brumbaugh, W.G., and Tillitt, D.E., 2005, Biochemical effects of lead, zinc, and cadmium from mining on fish in the Tri-States district of northeastern Oklahoma, USA: Environmental Toxicology and Chemistry, v. 24, no. 6, p. 1483-1495, https://doi.org/10.1897/04-332R.1.","productDescription":"13 p.","startPage":"1483","endPage":"1495","numberOfPages":"13","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":240704,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213112,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/04-332R.1"}],"volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2005-06-01","publicationStatus":"PW","scienceBaseUri":"5059f142e4b0c8380cd4ab28","contributors":{"authors":[{"text":"Schmitt, Christopher J. 0000-0001-6804-2360 cjschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6804-2360","contributorId":491,"corporation":false,"usgs":true,"family":"Schmitt","given":"Christopher","email":"cjschmitt@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":423814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whyte, Jeffrey J.","contributorId":100738,"corporation":false,"usgs":true,"family":"Whyte","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":423813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":423816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":423815,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":1008111,"text":"1008111 - 2005 - Flight speeds of northern pintails during migration determined by satellite telemetry","interactions":[],"lastModifiedDate":"2022-06-03T16:47:27.243169","indexId":"1008111","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3783,"text":"The Wilson Bulletin","printIssn":"0043-5643","active":true,"publicationSubtype":{"id":10}},"title":"Flight speeds of northern pintails during migration determined by satellite telemetry","docAbstract":"Speed (km/hr) during flight is one of several factors determining the rate of migration (km/ day) and flight range of birds. We attached 26-g, back-mounted satellite-received radio tags (platform transmitting terminals; PTTs) to adult female Northern Pintails (Anas acuta) during (1) midwinter 2000–2003 in the northern Central Valley of California, (2) fall and winter 2002–2003 in the Playa Lakes Region and Gulf Coast of Texas, and (3) early fall 2002–2003 in south-central New Mexico. We tracked tagged birds after release and, in several instances, obtained multiple locations during single migratory flights (flight paths). We used data from 17 PTT-tagged hens along 21 migratory flight paths to estimate groundspeeds during spring (n = 19 flights) and fall (n = 2 flights). Pintails migrated at an average groundspeed of 77 ± 4 (SE) km/hr (range for individual flight paths = 40–122 km/hr), which was within the range of estimates reported in the literature for migratory and local flights of waterfowl (42–116 km/hr); further, groundspeed averaged 53 ± 6 km/hr in headwinds and 82 ± 4 km/hr in tailwinds. At a typical, but hypothetical, flight altitude of 1,460 m (850 millibars standard pressure), 17 of the 21 flight paths occurred in tailwinds with an average airspeed of 55 ± 4 km/hr, and 4 occurred in headwinds with an average airspeed of 71 ± 4 km/hr. These adjustments in airspeed and groundspeed in response to wind suggest that pintails migrated at airspeeds that on average maximized range and conserved energy, and fell within the range of expectations based on aerodynamic and energetic theory.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/04-114.1","usgsCitation":"Miller, M.R., Takekawa, J.Y., Fleskes, J.P., Orthmeyer, D.L., Casazza, M.L., Haukos, D.A., and Perry, W.M., 2005, Flight speeds of northern pintails during migration determined by satellite telemetry: The Wilson Bulletin, v. 117, no. 4, p. 364-374, https://doi.org/10.1676/04-114.1.","productDescription":"11 p.","startPage":"364","endPage":"374","numberOfPages":"11","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":477862,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1676/04-114.1","text":"External Repository"},{"id":132367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5ef266","contributors":{"authors":[{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":316779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":316781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":316783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orthmeyer, Dennis L.","contributorId":52646,"corporation":false,"usgs":true,"family":"Orthmeyer","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":316782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":316780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":316778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":316777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":1001052,"text":"1001052 - 2005 - Nowcast modeling of Escherichia coli concentrations at multiple urban beaches of southern Lake Michigan","interactions":[],"lastModifiedDate":"2016-05-09T11:22:00","indexId":"1001052","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Nowcast modeling of Escherichia coli concentrations at multiple urban beaches of southern Lake Michigan","docAbstract":"Predictive modeling for Escherichia coli concentrations at effluent-dominated beaches may be a favorable alternative to current, routinely criticized monitoring standards. The ability to model numerous beaches simultaneously and provide real-time data decreases cost and effort associated with beach monitoring. In 2004, five Lake Michigan beaches and the nearby Little Calumet River outfall were monitored for E. coli 7 days a week; on nine occasions, samples were analyzed for coliphage to indicate a sewage source. Ambient lake, river, and weather conditions were measured or obtained from independent monitoring sources. Positive tests for coliphage analysis indicated sewage was present in the river and on bathing beaches following heavy rainfall. Models were developed separately for days with prevailing onshore and offshore winds due to the strong influence of wind direction in determining the river's impact on the beaches. Using regression modeling, it was determined that during onshore winds, E. coli could be adequately predicted using wave height, lake chlorophyll and turbidity, and river turbidity (R2=0.635, N=94); model performance decreased for offshore winds using wave height, wave period, and precipitation (R2=0.320, N=124). Variation was better explained at individual beaches. Overall, the models only failed to predict E. coli levels above the EPA closure limit (235 CFU/100 ml) on five of eleven occasions, indicating that the model is a more reliable alternative to the monitoring approach employed at most recreational beaches.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2005.10.012","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2005, Nowcast modeling of Escherichia coli concentrations at multiple urban beaches of southern Lake Michigan: Water Research, v. 39, no. 20, p. 5250-5260, https://doi.org/10.1016/j.watres.2005.10.012.","productDescription":"11 p.","startPage":"5250","endPage":"5260","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133640,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6968c6","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":310351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":310350,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":1001054,"text":"1001054 - 2005 - Application of neural networks to prediction of fish diversity and salmonid production in the Lake Ontario basin","interactions":[],"lastModifiedDate":"2013-02-05T11:21:37","indexId":"1001054","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","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":"Application of neural networks to prediction of fish diversity and salmonid production in the Lake Ontario basin","docAbstract":"Diversity and fish productivity are important measures of the health and status of aquatic systems. Being able to predict the values of these indices as a function of environmental variables would be valuable to management. Diversity and productivity have been related to environmental conditions by multiple linear regression and discriminant analysis, but such methods have several shortcomings. In an effort to predict fish species diversity and estimate salmonid production for streams in the eastern basin of Lake Ontario, I constructed neural networks and trained them on a data set containing abiotic information and either fish diversity or juvenile salmonid abundance. Twenty percent of the original data were retained as a test data set and used in the training. The ability to extend these neural networks to conditions throughout the streams was tested with data not involved in the network training. The resulting neural networks were able to predict the number of salmonids with more than 84% accuracy and diversity with more than 73% accuracy, which was far superior to the performance of multiple regression. The networks also identified the environmental variables with the greatest predictive power, namely, those describing water movement, stream size, and water chemistry. Thirteen input variables were used to predict diversity and 17 to predict salmonid abundance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"London, UK","doi":"10.1577/FT04-044.1","usgsCitation":"McKenna, J., 2005, Application of neural networks to prediction of fish diversity and salmonid production in the Lake Ontario basin: Transactions of the American Fisheries Society, v. 134, no. 1, p. 28-43, https://doi.org/10.1577/FT04-044.1.","productDescription":"16 p.","startPage":"28","endPage":"43","numberOfPages":"16","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":128872,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266986,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/FT04-044.1"}],"volume":"134","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67aa5e","contributors":{"authors":[{"text":"McKenna, James E. Jr.","contributorId":56992,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":310361,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70029463,"text":"70029463 - 2005 - Genetic effects of a large-scale Spartina alterniflora (smooth cordgrass) dieback and recovery in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-07-10T10:08:46","indexId":"70029463","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1583,"text":"Estuaries","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic effects of a large-scale Spartina alterniflora (smooth cordgrass) dieback and recovery in the northern Gulf of Mexico","title":"Genetic effects of a large-scale Spartina alterniflora (smooth cordgrass) dieback and recovery in the northern Gulf of Mexico","docAbstract":"A large-scale dieback event struck marshes along the northwestern Gulf of Mexico coast during summer 2000, in apparent response to a prolonged and severe drought. Along the Louisiana coast, large areas of the dominant marsh species, Spartina alterniflora, turned brown, followed by death of at least the aboveground structures of entire plant mortality. Key ecological and genetic measures were studied in a dieback-affected marsh in southwest Louisiana (C83 marsh, Sabine National Wildlife Refuge), for which existed predieback ecologic and genetic datasets. Effects on genetic diversity only were studied in a second set of sites in southeastern Louisiana (near Bay Junop), where the dieback was more widespread. We hypothesized that stem density, live aboveground biomass, and genetic diversity would be significantly reduced compared to predieback conditions and to nearby unaffected marshes. Stem densities and biomass levels approached predieback conditions 14 months after first observance of the dieback in the Sabine marsh and were similar to or exceeded the same measures for a nearby unaffected marsh. DNA extracted from leaf samples in the Sabine and Bay Junop sites was used to construct genotype profiles using AFLPs and analyzed using the complement of Simpson’s Index (1-D), the richness measure G/N, average heterozygosity , and the estimated proportion of polymorphic genes.
. Genetic diversity was relatively unaffected by the dieback at either the Sabine or Bay Junop sites. Evidence from field observations and the results of the genetic analyses suggest that seedling recruitment is an important factor in the recovery of both the Bay Junop and C83 sites, although re-growth from surviving below-ground rhizomes appeared to dominate recovery at the latter site. Survival of below-ground structures, leading to the rapid recovery observed, indicates a high level of resilience of the Sabine marsh to drought-induced stress. Still, the genetic diversity ofS. alterniflora-dominated marshes may be promoted by occasional disturbance events, which produce open areas in which seedling recruitment can occur.
","language":"English","publisher":"Springer","doi":"10.1007/BF02732855","issn":"01608347","usgsCitation":"Edwards, K., Travis, S., and Proffitt, C., 2005, Genetic effects of a large-scale Spartina alterniflora (smooth cordgrass) dieback and recovery in the northern Gulf of Mexico: Estuaries, v. 28, no. 2, p. 204-214, https://doi.org/10.1007/BF02732855.","productDescription":"11 p.","startPage":"204","endPage":"214","numberOfPages":"11","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":237776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Sabine National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.79989624023438,\n 29.835878945929952\n ],\n [\n -93.31512451171875,\n 29.835878945929952\n ],\n [\n -93.31512451171875,\n 29.966832283731062\n ],\n [\n -93.79989624023438,\n 29.966832283731062\n ],\n [\n -93.79989624023438,\n 29.835878945929952\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1576e4b0c8380cd54e17","contributors":{"authors":[{"text":"Edwards, K.R.","contributorId":37127,"corporation":false,"usgs":true,"family":"Edwards","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":422842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis, S.E. 0000-0001-9338-8953","orcid":"https://orcid.org/0000-0001-9338-8953","contributorId":28718,"corporation":false,"usgs":true,"family":"Travis","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":422841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Proffitt, C.E. 0000-0002-0845-8441","orcid":"https://orcid.org/0000-0002-0845-8441","contributorId":47339,"corporation":false,"usgs":true,"family":"Proffitt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":422843,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70027587,"text":"70027587 - 2005 - Radar stage uncertainty","interactions":[],"lastModifiedDate":"2012-03-12T17:20:48","indexId":"70027587","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radar stage uncertainty","docAbstract":"The U.S. Geological Survey is investigating the performance of radars used for stage (or water-level) measurement. This paper presents a comparison of estimated uncertainties and data for radar water-level measurements with float, bubbler, and wire weight water-level measurements. The radar sensor was also temperature-tested in a laboratory. The uncertainty estimates indicate that radar measurements are more accurate than uncorrected pressure sensors at higher water stages, but are less accurate than pressure sensors at low stages. Field data at two sites indicate that radar sensors may have a small negative bias. Comparison of field radar measurements with wire weight measurements found that the radar tends to measure slightly lower values as stage increases. Copyright ASCE 2005.","largerWorkTitle":"World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress","conferenceTitle":"2005 World Water and Environmental Resources Congress","conferenceDate":"15 May 2005 through 19 May 2005","conferenceLocation":"Anchorage, AK","language":"English","doi":"10.1061/40792(173)434","isbn":"0784407924; 9780784407929","usgsCitation":"Fulford, J., and Davies, W., 2005, Radar stage uncertainty, in World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress, Anchorage, AK, 15 May 2005 through 19 May 2005, https://doi.org/10.1061/40792(173)434.","startPage":"434","costCenters":[],"links":[{"id":211043,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/40792(173)434"},{"id":238198,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505a9388e4b0c8380cd80e98","contributors":{"authors":[{"text":"Fulford, J.M.","contributorId":27473,"corporation":false,"usgs":true,"family":"Fulford","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":414243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davies, W.J.","contributorId":85223,"corporation":false,"usgs":true,"family":"Davies","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":414244,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031523,"text":"70031523 - 2005 - Estimating hydrodynamic roughness in a wave-dominated environment with a high-resolution acoustic Doppler profiler","interactions":[],"lastModifiedDate":"2012-03-12T17:21:14","indexId":"70031523","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Estimating hydrodynamic roughness in a wave-dominated environment with a high-resolution acoustic Doppler profiler","docAbstract":"Hydrodynamic roughness is a critical parameter for characterizing bottom drag in boundary layers, and it varies both spatially and temporally due to variation in grain size, bedforms, and saltating sediment. In this paper we investigate temporal variability in hydrodynamic roughness using velocity profiles in the bottom boundary layer measured with a high-resolution acoustic Doppler profiler (PCADP). The data were collected on the ebb-tidal delta off Grays Harbor, Washington, in a mean water depth of 9 m. Significant wave height ranged from 0.5 to 3 m. Bottom roughness has rarely been determined from hydrodynamic measurements under conditions such as these, where energetic waves and medium-to-fine sand produce small bedforms. Friction velocity due to current u*c and apparent bottom roughness z0a were determined from the PCADP burst mean velocity profiles using the law of the wall. Bottom roughness kB was estimated by applying the Grant-Madsen model for wave-current interaction iteratively until the model u*c converged with values determined from the data. The resulting kB values ranged over 3 orders of magnitude (10-1 to 10-4 m) and varied inversely with wave orbital diameter. This range of kB influences predicted bottom shear stress considerably, suggesting that the use of time-varying bottom roughness could significantly improve the accuracy of sediment transport models. Bedform height was estimated from kB and is consistent with both ripple heights predicted by empirical models and bedforms in sonar images collected during the experiment. Copyright 2005 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2003JC001814","issn":"01480227","usgsCitation":"Lacy, J., Sherwood, C.R., Wilson, D., Chisholm, T., and Gelfenbaum, G., 2005, Estimating hydrodynamic roughness in a wave-dominated environment with a high-resolution acoustic Doppler profiler: Journal of Geophysical Research C: Oceans, v. 110, no. 6, p. 1-15, https://doi.org/10.1029/2003JC001814.","startPage":"1","endPage":"15","numberOfPages":"15","costCenters":[],"links":[{"id":477833,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3616","text":"External Repository"},{"id":212475,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2003JC001814"},{"id":239965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"6","noUsgsAuthors":false,"publicationDate":"2005-06-30","publicationStatus":"PW","scienceBaseUri":"505a0b22e4b0c8380cd525b7","contributors":{"authors":[{"text":"Lacy, J.R.","contributorId":68508,"corporation":false,"usgs":true,"family":"Lacy","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":431949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, C. R.","contributorId":48235,"corporation":false,"usgs":true,"family":"Sherwood","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":431947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, D.J.","contributorId":56038,"corporation":false,"usgs":true,"family":"Wilson","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":431948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chisholm, T.A.","contributorId":12268,"corporation":false,"usgs":true,"family":"Chisholm","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":431946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfenbaum, G.R.","contributorId":88766,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":431950,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70031642,"text":"70031642 - 2005 - Albino mutation rates in red mangroves (Rhizophora mangle L.) as a bioassay of contamination history in Tampa Bay, Florida, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:13","indexId":"70031642","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Albino mutation rates in red mangroves (Rhizophora mangle L.) as a bioassay of contamination history in Tampa Bay, Florida, USA","docAbstract":"We assessed the sensitivity of a viviparous estuarine tree species, Rhizophora mangle, to historic sublethal mutagenic stress across a fine spatial scale by comparing the frequency of trees producing albino propagules in historically contaminated (n=4) and uncontaminated (n=11) forests in Tampa Bay, Florida, USA. Data from uncontaminated forests were used to provide estimates of background mutation rates. We also determined whether other fitness parameters were negatively correlated with mutagenic stress (e.g., degree of outcrossing and numbers of reproducing trees km-1). Contaminated sites in Tampa Bay had significantly higher frequencies of trees that were heterozygous for albinism per 1000 total reproducing trees (FHT) than uncontaminated forests (mean ?? SE: 11.4 ?? 4.3 vs 4.3 ?? 0.73, P<0.022). Two sites that were contaminated by oil failed to show elevated FHT, although in the first instance, the mutagenic effects of the oil may have been reduced by several weeks of weathering in open water before coming ashore, and in the second > 25 yrs of subsequent recruitment and tree replacement may have allowed an initial elevation in the FHT to decay. Patterns of FHT were not explained by distance from the bay mouth or the degree of urbanization. However, there was a significant positive relationship between tree size and FHT (r=0.83, P<0.018), which suggests that forests with older or larger trees provide a more lasting record of cumulative mutagenic stress. No other fitness parameters correlated with FHT. There was a difference in FHT between two latitudes, as determined by comparing Tampa Bay with literature values for Puerto Rico. The sensitivity of this bioassay for the effects of mutagens will facilitate future monitoring of contamination events and comparisons of bay-wide recovery in future decades. Development of a database of FHT values for a range of subtropical and tropical estuaries is underway that will provide a baseline against which to compare mutational consequences of global change. ?? 2005, The Society of Wetland Scientists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1672/9","issn":"02775212","usgsCitation":"Proffitt, C., and Travis, S., 2005, Albino mutation rates in red mangroves (Rhizophora mangle L.) as a bioassay of contamination history in Tampa Bay, Florida, USA: Wetlands, v. 25, no. 2, p. 326-334, https://doi.org/10.1672/9.","startPage":"326","endPage":"334","numberOfPages":"9","costCenters":[],"links":[{"id":212246,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1672/9"},{"id":239706,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e955e4b0c8380cd481f3","contributors":{"authors":[{"text":"Proffitt, C.E. 0000-0002-0845-8441","orcid":"https://orcid.org/0000-0002-0845-8441","contributorId":47339,"corporation":false,"usgs":true,"family":"Proffitt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":432475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis, S.E. 0000-0001-9338-8953","orcid":"https://orcid.org/0000-0001-9338-8953","contributorId":28718,"corporation":false,"usgs":true,"family":"Travis","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":432474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035262,"text":"70035262 - 2005 - Appalachian coal assessment: Defining the coal systems of the Appalachian basin","interactions":[],"lastModifiedDate":"2012-03-12T17:21:55","indexId":"70035262","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Appalachian coal assessment: Defining the coal systems of the Appalachian basin","docAbstract":"The coal systems concept may be used to organize the geologic data for a relatively large, complex area, such as the Appalachian basin, in order to facilitate coal assessments in the area. The concept is especially valuable in subjective assessments of future coal production, which would require a detailed understanding of the coal geology and coal chemistry of the region. In addition, subjective assessments of future coal production would be enhanced by a geographical information system that contains the geologic and geochemical data commonly prepared for conventional coal assessments. Coal systems are generally defined as one or more coal beds or groups of coal beds that have had the same or similar genetic history from their inception as peat deposits, through their burial, diagenesis, and epigenesis to their ultimate preservation as lignite, bituminous coal, or anthracite. The central and northern parts of the Appalachian basin contain seven coal systems (Coal Systems A-G). These systems may be defined generally on the following criteria: (1) on the primary characteristics of their paleopeat deposits, (2) on the stratigraphic framework of the Paleozoic coal measures, (3) on the relative abundance of coal beds within the major stratigraphic groupings, (4) on the amount of sulfur related to the geologic and climatic conditions under which paleopeat deposits accumulated, and (5) on the rank of the coal (lignite to anthracite). ??2005 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Special Paper of the Geological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/0-8137-2387-6.9","issn":"00721077","usgsCitation":"Milici, R.C., 2005, Appalachian coal assessment: Defining the coal systems of the Appalachian basin: Special Paper of the Geological Society of America, no. 387, p. 9-30, https://doi.org/10.1130/0-8137-2387-6.9.","startPage":"9","endPage":"30","numberOfPages":"22","costCenters":[],"links":[{"id":242934,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215156,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/0-8137-2387-6.9"}],"issue":"387","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec76e4b0c8380cd492a6","contributors":{"authors":[{"text":"Milici, R. C.","contributorId":58688,"corporation":false,"usgs":true,"family":"Milici","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":449943,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":1001711,"text":"1001711 - 2005 - Time-specific variation in passerine nest survival: New insights for old questions","interactions":[],"lastModifiedDate":"2017-10-26T11:25:00","indexId":"1001711","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Time-specific variation in passerine nest survival: New insights for old questions","docAbstract":"Nest survival likely varies with nest age and date, but until recently researchers had only limited tools to efficiently address those sources of variability. Beginning with Mayfield (1961), many researchers have averaged survival rates within time-specific categories (e.g. egg and nestling stages; early and late nesting dates). However, Mayfield's estimator assumes constant survival within categories, and violations of that assumption can lead to biased estimates. We used the logistic-exposure method to examine nest survival as a function of nest age and date in Clay-colored Sparrows (Spizella pallida) and Vesper Sparrows (Pooecetes gramineus) breeding in north-central North Dakota. Daily survival rates increased during egg laying, decreased during incubation to a low shortly after hatch, and then increased during brood rearing in both species. Variation in survival with nest age suggests that traditional categorical averaging using Mayfield's or similar methods would have been inappropriate for this study; similar variation may bias results of other studies. Nest survival also varied with date. For both species, survival was high during the peak of nest initiations in late May and early June and declined throughout the remainder of the nesting season. Models of nest survival that incorporate time-specific information may provide insights that are unavailable from averaged data.","language":"English","publisher":"American Ornithological Society","doi":"10.1642/0004-8038(2005)122[0661:TVIPNS]2.0.CO;2","usgsCitation":"Grant, T., Shaffer, T., Madden, E., and Pietz, P., 2005, Time-specific variation in passerine nest survival: New insights for old questions: The Auk, v. 122, no. 2, p. 661-672, https://doi.org/10.1642/0004-8038(2005)122[0661:TVIPNS]2.0.CO;2.","productDescription":"12 p.","startPage":"661","endPage":"672","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477861,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/0004-8038(2005)122[0661:tvipns]2.0.co;2","text":"Publisher Index Page"},{"id":133664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b58a","contributors":{"authors":[{"text":"Grant, T.A.","contributorId":89855,"corporation":false,"usgs":true,"family":"Grant","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":311567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, T.L.","contributorId":98245,"corporation":false,"usgs":true,"family":"Shaffer","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":311568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madden, E.M.","contributorId":28214,"corporation":false,"usgs":true,"family":"Madden","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":311566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pietz, P.J.","contributorId":6398,"corporation":false,"usgs":true,"family":"Pietz","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":311565,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179760,"text":"70179760 - 2005 - Measuring nighttime spawning behavior of chum salmon using a dual-frequency identification sonar (DIDSON)","interactions":[],"lastModifiedDate":"2017-01-17T12:35:49","indexId":"70179760","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring nighttime spawning behavior of chum salmon using a dual-frequency identification sonar (DIDSON)","docAbstract":"The striking body coloration and morphology that Pacific salmon display during spawning coupled with elaborate courtship behaviors suggest that visual cues are important during their reproductive period. To date, virtually all existing information on chum salmon (Oncorhynchus keta) spawning behavior has been derived from studies conducted during the daytime, and has contributed to the assumption that salmon do not spawn at night. We tested this assumption using a new technology - a dual-frequency identification sonar (DIDSON) - to describe and measure nighttime spawning behavior of wild chum salmon in the Columbia River. The DIDSON produces detailed, video-like images using sound, which enabled us to collect behavioral information at night in complete darkness. The display of DIDSON images enabled fish movements and behaviors to be spatially quantified. We collected continuous observational data on 14 pairs of chum salmon in a natural spawning channel during the daytime and nighttime. Spawners of both genders were observed chasing intruders during nighttime and daytime as nests were constructed. Regardless of diel period, females were engaged in digging to both construct nests and cover eggs, and courting males exhibited the pre-spawning behavior of tail crossing. We observed a total of 13 spawning events, of which nine occurred at night and four occurred during the day. The behaviors we observed at night suggest the assumption that chum salmon do not spawn at night is false. Once chum salmon begin nest construction, visual cues are apparently not required for courtship, nest defense, and spawning. We speculate that non-visual cues (e.g. tactile and auditory) enable chum salmon to carry out most spawning behaviors at night. Our findings have implications for how nighttime flows from hydroelectric dams on the Columbia River are managed for power production and protection of imperiled salmon stocks.
","conferenceTitle":"5th International Conference on Methods and Techniques in Behavioral Research","conferenceDate":"30 August - 2 September 2005","conferenceLocation":"Wageningen, Netherlands","language":"English","publisher":"Noldus Information Technology","usgsCitation":"Tiffan, K., and Rondorf, D., 2005, Measuring nighttime spawning behavior of chum salmon using a dual-frequency identification sonar (DIDSON), 5th International Conference on Methods and Techniques in Behavioral Research, Wageningen, Netherlands, 30 August - 2 September 2005.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":333253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3dbbe4b0d96de2564573","contributors":{"authors":[{"text":"Tiffan, K.F.","contributorId":19327,"corporation":false,"usgs":true,"family":"Tiffan","given":"K.F.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":658576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rondorf, D.W.","contributorId":80789,"corporation":false,"usgs":true,"family":"Rondorf","given":"D.W.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":658577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70455,"text":"fs20053021 - 2005 - Taking the pulse of Colorado's Front Range: Developing regional indicators of environmental and quality of life condition","interactions":[],"lastModifiedDate":"2017-12-31T13:41:28","indexId":"fs20053021","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3021","title":"Taking the pulse of Colorado's Front Range: Developing regional indicators of environmental and quality of life condition","docAbstract":"Indicators are routinely used to report the status and trends of human health, economy, educational achievement, and quality of life. Some environmental indicators, such as for water and air quality, are routinely reported and used to inform personal, management, or policy decisions. Other environmental indicators, particularly those that do not relate directly to human well-being, have been harder to define, interpret, or use. These indicators may be just as useful and important in describing the ability to provide ecosystem good and services, or less tangible quality of life measures, but they may be suspect because of the quality of data or even the source of the information.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20053021","usgsCitation":"Baron, J., 2005, Taking the pulse of Colorado's Front Range: Developing regional indicators of environmental and quality of life condition: U.S. Geological Survey Fact Sheet 2005-3021, 2 p., https://doi.org/10.3133/fs20053021.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":121141,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3021.jpg"},{"id":320269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3021/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adde4b07f02db686f56","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":822,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":282474,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70029049,"text":"70029049 - 2005 - Variation in the reference Shields stress for bed load transport in gravel‐bed streams and rivers","interactions":[],"lastModifiedDate":"2018-03-30T11:20:21","indexId":"70029049","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","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":"Variation in the reference Shields stress for bed load transport in gravel‐bed streams and rivers","docAbstract":"The present study examines variations in the reference shear stress for bed load transport (τr) using coupled measurements of flow and bed load transport in 45 gravel‐bed streams and rivers. The study streams encompass a wide range in bank‐full discharge (1–2600 m3/s), average channel gradient (0.0003–0.05), and median surface grain size (0.027–0.21 m). A bed load transport relation was formed for each site by plotting individual values of the dimensionless transport rate W* versus the reach‐average dimensionless shear stress τ*. The reference dimensionless shear stress τ*r was then estimated by selecting the value of τ* corresponding to a reference transport rate of W* = 0.002. The results indicate that the discharge corresponding to τ*r averages 67% of the bank‐full discharge, with the variation independent of reach‐scale morphologic and sediment properties. However, values of τ*r increase systematically with average channel gradient, ranging from 0.025–0.035 at sites with slopes of 0.001–0.006 to values greater than 0.10 at sites with slopes greater than 0.02. A corresponding relation for the bank‐full dimensionless shear stress τ*bf, formulated with data from 159 sites in North America and England, mirrors the relation between τ*r and channel gradient, suggesting that the bank‐full channel geometry of gravel‐ and cobble‐bedded streams is adjusted to a relatively constant excess shear stress, τ*bf − τ*r, across a wide range of slopes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2004WR003692","usgsCitation":"Mueller, E.R., Pitlick, J., and Nelson, J.M., 2005, Variation in the reference Shields stress for bed load transport in gravel‐bed streams and rivers: Water Resources Research, v. 41, no. 4, Article W04006; 10 p., https://doi.org/10.1029/2004WR003692.","productDescription":"Article W04006; 10 p.","costCenters":[],"links":[{"id":477938,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2004wr003692","text":"Publisher Index Page"},{"id":236384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"4","noUsgsAuthors":false,"publicationDate":"2005-04-12","publicationStatus":"PW","scienceBaseUri":"505bc169e4b08c986b32a56a","contributors":{"authors":[{"text":"Mueller, Erich R. 0000-0001-8202-154X emueller@usgs.gov","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":4930,"corporation":false,"usgs":true,"family":"Mueller","given":"Erich","email":"emueller@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":421128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitlick, John","contributorId":168765,"corporation":false,"usgs":false,"family":"Pitlick","given":"John","email":"","affiliations":[{"id":25358,"text":"University of Colorado, Geography Dept., Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":421126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":421127,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1003625,"text":"1003625 - 2005 - NPLichen: a database of lichens in the U.S. national parks","interactions":[],"lastModifiedDate":"2015-05-04T13:42:20","indexId":"1003625","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1597,"text":"Evansia","active":true,"publicationSubtype":{"id":10}},"title":"NPLichen: a database of lichens in the U.S. national parks","docAbstract":"NPLichen, a database of lichens in the U. S. National Parks (Wetmore and Bennett, 1992), has been extensively revised and expanded, and is now available for public use at www.ies.wisc.edu/nplichen. As of this writing, the database contains 25,995 records of lichens in 144 national park units. The number of records of lichens not in the North American lichen checklist (Esslinger 1997) is 161, for a total of 26,156. These records include multiple occurrences of a species in some parks because more than one reference has reported presence of species. Consequently, the number of species in parks records (including new to North America) without these duplicate references is 14,986. Our table of misidentified taxa contains 307 records.
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Round gobies (Neogobius melanostomus) were not detected in any survey until 1997, but by 2003 they had been recorded at 18 of the 28 sites sampled. The only areas not colonized were offshore habitats in northern Lake Huron. Round goby abundance increased during 1997–2001, thereafter overall abundance either increased (offshore) or became variable (near shore and Saginaw Bay). Mean lengths varied among surveys primarily due to high abundance of age-0 gobies in Saginaw Bay samples. Round gobies were found up to 34 km offshore at depths of 73 m. Round gobies consumed a wide range of invertebrate prey, but focused on dreissenids in shallow water (27–46 m), and native invertebrates at greater depths. The pattern of round goby dispersal was consistent with a pattern of simultaneous initial introductions at shipping ports followed by natural dispersal, and lake wide population size has probably not stabilized.
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Inhalant anesthesia was delivered into a specially designed restraint and inhalation capsule that minimized handling and bite exposures. Bats were immobilized an average of 9.1±5.1 (SD) min (range 1–71, n=876); blood sample volumes averaged 58±12 μl (range 13–126, n=718). We randomly selected control (subject to multiple procedures before release) and treatment (control procedures plus inhalant anesthesia and 1% of body weight blood sampling) groups in 2002 to assess treatment effects on daily survival over a 14-day period for adult female and volant juvenile bats captured at maternity roosts in buildings. We monitored survival after release using passive integrated transponder tag detection hoops placed at openings to selected roosts. Annual return rates of bats sampled in 2001 were used to assess long-term outcomes. Comparison of 14-day maximum-likelihood daily survival estimates from control (86 adult females, 92 volant juveniles) and treated bats (187 adult females, 87 volant juveniles) indicated no adverse effect from anesthesia and blood sampling (juveniles: χ2=22.22, df=27, P>0.05; adults: χ2=9.72, df=18, P>0.05). One-year return rates were similar among adult female controls (81%, n=72, 95% confidence interval [CI] =70–91%), females treated once (82%, n=276, 95% CI=81–84%), and females treated twice (84%, n=50, 95% CI=74–94%). Lack of an effect was also noted in 1-yr return rates of juvenile female controls (55%, n=29, 95% CI=37–73%), juveniles treated once (66%, n=113, 95% CI=58–75%), and juveniles treated twice (71%, n=17, 95% CI=49–92%). These data suggest that anesthesia and blood sampling for health monitoring did not measurably affect survival of adult female and volant juvenile big brown bats.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-41.1.87","usgsCitation":"Wimsatt, J., O'Shea, T., Ellison, L., Pearce, R., and Price, V., 2005, Anesthesia and blood sampling of wild big brown bats (Eptesicus fuscus) with an assessment of impacts on survival: Journal of Wildlife Diseases, v. 41, no. 1, p. 87-95, https://doi.org/10.7589/0090-3558-41.1.87.","productDescription":"9 p.","startPage":"87","endPage":"95","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":477740,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-41.1.87","text":"Publisher Index Page"},{"id":131413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c299","contributors":{"authors":[{"text":"Wimsatt, J.","contributorId":78289,"corporation":false,"usgs":true,"family":"Wimsatt","given":"J.","affiliations":[],"preferred":false,"id":322127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Shea, T. J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":50100,"corporation":false,"usgs":true,"family":"O'Shea","given":"T. J.","affiliations":[],"preferred":false,"id":322126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, L.E.","contributorId":103610,"corporation":false,"usgs":true,"family":"Ellison","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":322128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, R.D.","contributorId":45439,"corporation":false,"usgs":true,"family":"Pearce","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":322125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Price, V.R.","contributorId":40062,"corporation":false,"usgs":true,"family":"Price","given":"V.R.","email":"","affiliations":[],"preferred":false,"id":322124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70029086,"text":"70029086 - 2005 - Sources of variability of evapotranspiration in California","interactions":[],"lastModifiedDate":"2018-10-31T09:26:42","indexId":"70029086","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Sources of variability of evapotranspiration in California","docAbstract":"The variability (1990–2002) of potential evapotranspiration estimates (ETo) and related meteorological variables from a set of stations from the California Irrigation Management System (CIMIS) is studied. Data from the National Climatic Data Center (NCDC) and from the Department of Energy from 1950 to 2001 were used to validate the results. The objective is to determine the characteristics of climatological ETo and to identify factors controlling its variability (including associated atmospheric circulations). Daily ETo anomalies are strongly correlated with net radiation (Rn) anomalies, relative humidity (RH), and cloud cover, and less with average daily temperature (Tavg). The highest intraseasonal variability of ETo daily anomalies occurs during the spring, mainly caused by anomalies below the high ETo seasonal values during cloudy days. A characteristic circulation pattern is associated with anomalies of ETo and its driving meteorological inputs, Rn, RH, and Tavg, at daily to seasonal time scales. This circulation pattern is dominated by 700-hPa geopotential height (Z700) anomalies over a region off the west coast of North America, approximately between 32° and 44° latitude, referred to as the California Pressure Anomaly (CPA). High cloudiness and lower than normal ETo are associated with the low-height (pressure) phase of the CPA pattern. Higher than normal ETo anomalies are associated with clear skies maintained through anomalously high Z700 anomalies offshore of the North American coast. Spring CPA, cloudiness, maximum temperature (Tmax), pan evaporation (Epan), and ETo conditions have not trended significantly or consistently during the second half of the twentieth century in California. Because it is not known how cloud cover and humidity will respond to climate change, the response of ETo in California to increased greenhouse-gas concentrations is essentially unknown; however, to retain the levels of ETo in the current climate, a decline of Rn by about 6% would be required to compensate for a warming of +3°C.