{"pageNumber":"878","pageRowStart":"21925","pageSize":"25","recordCount":40783,"records":[{"id":70037430,"text":"70037430 - 2009 - Using time-dependent models to investigate body condition and growth rate of the giant gartersnake","interactions":[],"lastModifiedDate":"2017-11-18T12:34:03","indexId":"70037430","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Using time-dependent models to investigate body condition and growth rate of the giant gartersnake","docAbstract":"Identifying links between phenotypic attributes and fitness is a primary goal of reproductive ecology. Differences in within-year patterns of body condition between sexes of gartersnakes in relation to reproduction and growth are not fully understood. We conducted an 11-year field study of body condition and growth rate of the giant gartersnake Thamnophis gigas across 13 study areas in the Central Valley of California, USA. We developed a priori mixed effects models of body condition index (BCI), which included covariates of time, sex and snout-vent length and reported the best-approximating models using an information theoretic approach. Also, we developed models of growth rate index (GRI) using covariates of sex and periods based on reproductive behavior. The largest difference in BCI between sexes, as predicted by a non-linear (cubic) time model, occurred during the mating period when female body condition (0.014??0.001 se) was substantially greater than males (-0.027??0.002 se). Males likely allocated energy to search for mates, while females likely stored energy for embryonic development. We also provided evidence that males use more body energy reserves than females during hibernation, perhaps because of different body temperatures between sexes. We found GRI of male snakes was substantially lower during the mating period than during a non-mating period, which indicated that a trade-off existed between searching for mates and growth. These findings contribute to our understanding of snake ecology in a Mediterranean climate. ?? 2009 The Zoological Society of London.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1469-7998.2009.00617.x","issn":"09528369","usgsCitation":"Coates, P., Wylie, G., Halstead, B., and Casazza, M.L., 2009, Using time-dependent models to investigate body condition and growth rate of the giant gartersnake: Journal of Zoology, v. 279, no. 3, p. 285-293, https://doi.org/10.1111/j.1469-7998.2009.00617.x.","startPage":"285","endPage":"293","numberOfPages":"9","costCenters":[],"links":[{"id":245202,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217269,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-7998.2009.00617.x"}],"volume":"279","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-10-27","publicationStatus":"PW","scienceBaseUri":"505bc0b8e4b08c986b32a2ad","contributors":{"authors":[{"text":"Coates, P.S.","contributorId":56047,"corporation":false,"usgs":true,"family":"Coates","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":461029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, G.D.","contributorId":68238,"corporation":false,"usgs":true,"family":"Wylie","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":461030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, B.J.","contributorId":42045,"corporation":false,"usgs":true,"family":"Halstead","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":461028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":461027,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037434,"text":"70037434 - 2009 - A multi-proxy palaeoecological and palaeoclimatic record within full glacial lacustrine deposits, western Tennessee, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037434","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"A multi-proxy palaeoecological and palaeoclimatic record within full glacial lacustrine deposits, western Tennessee, USA","docAbstract":"The Fulton Section, along the Mississippi River in western Tennessee, USA, is a 1km continuous exposure (~20m vertically) of Quaternary fluvial and lacustrine deposits, inset within Eocene sediments and buried by thick loess. Fossiliferous slackwater lake sediments record maximum aggradation during the last two major glaciations, with deposition between ca. 190-140 ka and 24-18<sup>14</sup>C ka BP, based on amino acid and radiocarbon chronology, respectively. During the onset of full glacial conditions (ca. 24-22 <sup>14</sup>C ka BP), a relatively permanent shallow lake environment is indicated by ostracods, aquatic molluscs, and both pollen and macrofossils of aquatic plants. By 21.8 <sup>14</sup>C ka BP, increasing emergent plants, amphibious gastropods (Pomatiopsis) and heavier ??<sup>18</sup>O compositions suggest marsh-like conditions in a periodically drying lake. The surrounding uplands consisted of Picea-Pinus woodlands mixed with cool-temperate hardwoods (e.g. Quercus, Populus, Carya), grasses and herbs. More open conditions ensued ca. 20 <sup>14</sup>C ka BP, with loess and slopewash gradually infilling the former lake by 18 <sup>14</sup>C ka BP. Modern analogue analyses of ostracods and palaeontological evidence imply a full glacial climate similar to today's mixed-boreal zone in central Minnesota, USA, about 98C cooler in mean annual temperature than present-day western Tennessee. Copyright ?? 2009 John Wiley &amp; Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Quaternary Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/jqs.1275","issn":"02678179","usgsCitation":"Grimley, D., Daniel, L., Kaplan, S., Yansa, C., Curry, B.B., and Oches, E., 2009, A multi-proxy palaeoecological and palaeoclimatic record within full glacial lacustrine deposits, western Tennessee, USA: Journal of Quaternary Science, v. 24, no. 8, p. 960-981, https://doi.org/10.1002/jqs.1275.","startPage":"960","endPage":"981","numberOfPages":"22","costCenters":[],"links":[{"id":217325,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jqs.1275"},{"id":245265,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"8","noUsgsAuthors":false,"publicationDate":"2009-05-26","publicationStatus":"PW","scienceBaseUri":"5059e48ae4b0c8380cd466df","contributors":{"authors":[{"text":"Grimley, D.A.","contributorId":18530,"corporation":false,"usgs":true,"family":"Grimley","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":461048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, L.","contributorId":94892,"corporation":false,"usgs":true,"family":"Daniel","given":"L.","email":"","affiliations":[],"preferred":false,"id":461050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaplan, S.W.","contributorId":9500,"corporation":false,"usgs":true,"family":"Kaplan","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":461046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yansa, C.H.","contributorId":17406,"corporation":false,"usgs":true,"family":"Yansa","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":461047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curry, B. Brandon","contributorId":104224,"corporation":false,"usgs":true,"family":"Curry","given":"B.","email":"","middleInitial":"Brandon","affiliations":[],"preferred":false,"id":461051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oches, E.A.","contributorId":31238,"corporation":false,"usgs":true,"family":"Oches","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":461049,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037451,"text":"70037451 - 2009 - Urban streams across the USA: Lessons learned from studies in 9 metropolitan areas","interactions":[],"lastModifiedDate":"2021-02-04T21:34:54.194429","indexId":"70037451","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Urban streams across the USA: Lessons learned from studies in 9 metropolitan areas","docAbstract":"<p><span>Studies of the effects of urbanization on stream ecosystems have usually focused on single metropolitan areas. Synthesis of the results of such studies have been useful in developing general conceptual models of the effects of urbanization, but the strength of such generalizations is enhanced by applying consistent study designs and methods to multiple metropolitan areas across large geographic scales. We summarized the results from studies of the effects of urbanization on stream ecosystems in 9 metropolitan areas across the US (Boston, Massachusetts; Raleigh, North Carolina; Atlanta, Georgia; Birmingham, Alabama; Milwaukee-Green Bay, Wisconsin; Denver, Colorado; Dallas-Fort Worth, Texas; Salt Lake City, Utah; and Portland, Oregon). These studies were conducted as part of the US Geological Survey’s National Water-Quality Assessment Program and were based on a common study design and used standard sample-collection and processing methods to facilitate comparisons among study areas. All studies included evaluations of hydrology, physical habitat, water quality, and biota (algae, macroinvertebrates, fish). Four major conclusions emerged from the studies. First, responses of hydrologic, physical-habitat, water-quality, and biotic variables to urbanization varied among metropolitan areas, except that insecticide inputs consistently increased with urbanization. Second, prior land use, primarily forest and agriculture, appeared to be the most important determinant of the response of biota to urbanization in the areas we studied. Third, little evidence was found for resistance to the effects of urbanization by macroinvertebrate assemblages, even at low levels of urbanization. Fourth, benthic macroinvertebrates have important advantages for assessing the effects of urbanization on stream ecosystems relative to algae and fishes. Overall, our results demonstrate regional differences in the effects of urbanization on stream biota and suggest additional studies to elucidate the causes of these underlying differences.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1899/08-153.1","usgsCitation":"Brown, L.R., Cuffney, T.F., Coles, J.F., Fitzpatrick, F., McMahon, G., Steuer, J., Bell, A.H., and May, J.T., 2009, Urban streams across the USA: Lessons learned from studies in 9 metropolitan areas: Journal of the North American Benthological Society, v. 28, no. 4, p. 1051-1069, https://doi.org/10.1899/08-153.1.","productDescription":"19 p.","startPage":"1051","endPage":"1069","numberOfPages":"19","ipdsId":"IP-008405","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":461117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coles, James F. 0000-0002-1953-012X jcoles@usgs.gov","orcid":"https://orcid.org/0000-0002-1953-012X","contributorId":2239,"corporation":false,"usgs":true,"family":"Coles","given":"James","email":"jcoles@usgs.gov","middleInitial":"F.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150001,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":461114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Gerard 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ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":461112,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037452,"text":"70037452 - 2009 - Development of a local-scale urban stream assessment method using benthic macroinvertebrates: An example from the Santa Clara Basin, California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037452","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Development of a local-scale urban stream assessment method using benthic macroinvertebrates: An example from the Santa Clara Basin, California","docAbstract":"Research that explores the biological response to urbanization on a site-specific scale is necessary for management of urban basins. Recent studies have proposed a method to characterize the biological response of benthic macroinvertebrates along an urban gradient for several climatic regions in the USA. Our study demonstrates how this general framework can be refined and applied on a smaller scale to an urbanized basin, the Santa Clara Basin (surrounding San Jose, California, USA). Eighty-four sampling sites on 14 streams in the Santa Clara Basin were used for assessing local stream conditions. First, an urban index composed of human population density, road density, and urban land cover was used to determine the extent of urbanization upstream from each sampling site. Second, a multimetric biological index was developed to characterize the response of macroinvertebrate assemblages along the urban gradient. The resulting biological index included metrics from 3 ecological categories: taxonomic composition ( Ephemeroptera, Plecoptera, and Trichoptera), functional feeding group (shredder richness), and habit ( clingers). The 90<sup>th</sup>-quantile regression line was used to define the best available biological conditions along the urban gradient, which we define as the predicted biological potential. This descriptor was then used to determine the relative condition of sites throughout the basin. Hierarchical partitioning of variance revealed that several site-specific variables (dissolved O<sub>2</sub> and temperature) were significantly related to a site's deviation from its predicted biological potential. Spatial analysis of each site's deviation from its biological potential indicated geographic heterogeneity in the distribution of impaired sites. The presence and operation of local dams optimize water use, but modify natural flow regimes, which in turn influence stream habitat, dissolved O<sub>2</sub>, and temperature. Current dissolved O<sub>2</sub> and temperature regimes deviate from natural conditions and appear to affect benthic macroinvertebrate assemblages. The assessment methods presented in our study provide finer-scale assessment tools for managers in urban basins. ?? North American Benthological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the North American Benthological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1899/08-159.1","issn":"08873593","usgsCitation":"Carter, J., Purcell, A., Fend, S., and Resh, V., 2009, Development of a local-scale urban stream assessment method using benthic macroinvertebrates: An example from the Santa Clara Basin, California: Journal of the North American Benthological Society, v. 28, no. 4, p. 1007-1021, https://doi.org/10.1899/08-159.1.","startPage":"1007","endPage":"1021","numberOfPages":"15","costCenters":[],"links":[{"id":217413,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/08-159.1"},{"id":245359,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a003ce4b0c8380cd4f664","contributors":{"authors":[{"text":"Carter, J.L.","contributorId":26030,"corporation":false,"usgs":true,"family":"Carter","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":461118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, A.H.","contributorId":47191,"corporation":false,"usgs":true,"family":"Purcell","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":461119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fend, S.V. 0000-0002-4638-6602","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":99702,"corporation":false,"usgs":true,"family":"Fend","given":"S.V.","affiliations":[],"preferred":false,"id":461121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Resh, V.H.","contributorId":64876,"corporation":false,"usgs":true,"family":"Resh","given":"V.H.","affiliations":[],"preferred":false,"id":461120,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037457,"text":"70037457 - 2009 - Beach morphology and change along the mixed grain-size delta of the dammed Elwha River, Washington","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037457","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Beach morphology and change along the mixed grain-size delta of the dammed Elwha River, Washington","docAbstract":"Sediment supply provides a fundamental control on the morphology of river deltas, and humans have significantly modified these supplies for centuries. Here we examine the effects of almost a century of sediment supply reduction from the damming of the Elwha River in Washington on shoreline position and beach morphology of its wave-dominated delta. The mean rate of shoreline erosion during 1939-2006 is ~ 0.6??m/yr, which is equivalent to ~ 24,000??m<sup>3</sup>/yr of sediment divergence in the littoral cell, a rate approximately equal to 25-50% of the littoral-grade sediment trapped by the dams. Semi-annual surveys between 2004 and 2007 show that most erosion occurs during the winter with lower rates of change in the summer. Shoreline change and morphology also differ spatially. Negligible shoreline change has occurred updrift (west) of the river mouth, where the beach is mixed sand to cobble, cuspate, and reflective. The beach downdrift (east) of the river mouth has had significant and persistent erosion, but this beach differs in that it has a reflective foreshore with a dissipative low-tide terrace. Downdrift beach erosion results from foreshore retreat, which broadens the low-tide terrace with time, and the rate of this kind of erosion has increased significantly from ~ 0.8??m/yr during 1939-1990 to ~ 1.4??m/yr during 1990-2006. Erosion rates for the downdrift beach derived from the 2004-2007 topographic surveys vary between 0 and 13??m/yr, with an average of 3.8??m/yr. We note that the low-tide terrace is significantly coarser (mean grain size ~ 100??mm) than the foreshore (mean grain size ~ 30??mm), a pattern contrary to the typical observation of fining low-tide terraces in the region and worldwide. Because this cobble low-tide terrace is created by foreshore erosion, has been steady over intervals of at least years, is predicted to have negligible longshore transport compared to the foreshore portion of the beach, and is inconsistent with oral history of abundant shellfish collections from the low-tide beach, we suggest that it is an armored layer of cobble clasts that are not generally competent in the physical setting of the delta. Thus, the cobble low-tide terrace is very likely a geomorphological feature caused by coastal erosion of a coastal plain and delta, which in turn is related to the impacts of the dams on the Elwha River to sediment fluxes to the coast.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.geomorph.2009.04.012","issn":"0169555X","usgsCitation":"Warrick, J., George, D., Gelfenbaum, G., Ruggiero, P., Kaminsky, G.M., and Beirne, M., 2009, Beach morphology and change along the mixed grain-size delta of the dammed Elwha River, Washington: Geomorphology, v. 111, no. 3-4, p. 136-148, https://doi.org/10.1016/j.geomorph.2009.04.012.","startPage":"136","endPage":"148","numberOfPages":"13","costCenters":[],"links":[{"id":245388,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217440,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2009.04.012"}],"volume":"111","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f030e4b0c8380cd4a632","contributors":{"authors":[{"text":"Warrick, J.A.","contributorId":53503,"corporation":false,"usgs":true,"family":"Warrick","given":"J.A.","affiliations":[],"preferred":false,"id":461171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, D.A.","contributorId":43897,"corporation":false,"usgs":true,"family":"George","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":461169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gelfenbaum, G.","contributorId":72429,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"G.","email":"","affiliations":[],"preferred":false,"id":461172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruggiero, P.","contributorId":25995,"corporation":false,"usgs":true,"family":"Ruggiero","given":"P.","affiliations":[],"preferred":false,"id":461168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaminsky, G. M.","contributorId":50586,"corporation":false,"usgs":true,"family":"Kaminsky","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":461170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beirne, M.","contributorId":19815,"corporation":false,"usgs":true,"family":"Beirne","given":"M.","email":"","affiliations":[],"preferred":false,"id":461167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037484,"text":"70037484 - 2009 - Biodegradation of 17β-estradiol, estrone, and testosterone in stream sediments","interactions":[],"lastModifiedDate":"2015-03-30T14:04:48","indexId":"70037484","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Biodegradation of 17β-estradiol, estrone, and testosterone in stream sediments","docAbstract":"<p>The release of endocrine-disrupting chemicals (EDCs) in wastewater treatment plant (WWTP) effluent poses a significant threat to the ecology of surface water receptors, due to impacts on the hormonal control, sexual development, reproductive success and community structure of the indigenous aquatic organisms and associated wildlife. Among the EDCs commonly observed in WWTP effluent, the natural [e.g., 17??-estradiol (E2) and estrone (E1)] and synthetic [e.g., ethynylestradiol (EE2)] estrogens are particular concerns owing to their high endocrine reactivity in both in vitro and in vivo laboratory models. These reproductive hormones have been identified as the primary cause of estrogenic effects in wastewater effluent, with greater than 95% of the estrogen receptor agonist activity in effluent attributed to this contaminant group. The potentials for in situ biodegradation of 17??-estradiol (E2), estrone (E1), and testosterone (T) were investigated in three, hydrologically-distinct, WWTP-impacted streams in the United States. Relative differences in the mineralization of [4-<sup>14</sup>C] substrates were assessed in oxic microcosms containing sediment or water-only from locations upstream and downstream of the WWTP outfall in each system. Upstream samples provided insight into the biodegradative potential of sediment microbial communities that were not under the immediate impact of WWTP effluent. Upstream sediment from all three systems demonstrated significant mineralization of the \"A\" ring of E2, E1 and T, with the potential of T biodegradation consistently greater than of E2 and no systematic difference in the potentials of E2 and E1. Downstream samples provided insight into the impacts of effluent on reproductive hormone biodegradation. Significant \"A\" ring mineralization was also observed in downstream sediment, with the potentials for E1 and T mineralization being substantially depressed relative to upstream samples. In marked contrast, the potentials for E2 mineralization immediately downstream of the WWTP outfalls were more than double that of upstream samples. E2 mineralization was also observed in water, albeit at insufficient rate to prevent substantial downstream transport in the water column. The results of this study indicate that, in combination with sediment sorption processes which effectively scavenge hydrophobic contaminants from the water column and immobilize them in the vicinity of the WWTP outfall, aerobic biodegradation of reproductive hormones can be an environmentally important mechanism for nonconservative (destructive) attenuation of hormonal endocrine disruptors in effluent-impacted streams.</p>","largerWorkTitle":"In Situ and On-Site Bioremediation-2009: Proceedings of the 10th International In Situ and On-Site Bioremediation Symposium","conferenceTitle":"10th International In Situ and On-Site Bioremediation Symposium, In Situ and On-Site Bioremediation-2009","conferenceDate":"5 May 2009 through 8 May 2009","conferenceLocation":"Baltimore, MD","language":"English","isbn":"9780981973012","usgsCitation":"Bradley, P., Chapelle, F.H., Barber, L.B., McMahon, P., Gray, J., and Kolpin, D., 2009, Biodegradation of 17β-estradiol, estrone, and testosterone in stream sediments, <i>in</i> In Situ and On-Site Bioremediation-2009: Proceedings of the 10th International In Situ and On-Site Bioremediation Symposium, Baltimore, MD, 5 May 2009 through 8 May 2009.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":245069,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f145e4b0c8380cd4ab45","contributors":{"authors":[{"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":461276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapelle, F. H.","contributorId":101697,"corporation":false,"usgs":true,"family":"Chapelle","given":"F.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":461279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, L. B.","contributorId":64602,"corporation":false,"usgs":true,"family":"Barber","given":"L.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":461277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":461274,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, J.L.","contributorId":18566,"corporation":false,"usgs":true,"family":"Gray","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":461275,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":461278,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037489,"text":"70037489 - 2009 - Comparative endocrinology in the 21st century","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037489","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2010,"text":"Integrative and Comparative Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative endocrinology in the 21st century","docAbstract":"Hormones coordinate developmental, physiological, and behavioral processes within and between all living organisms. They orchestrate and shape organogenesis from early in development, regulate the acquisition, assimilation, and utilization of nutrients to support growth and metabolism, control gamete production and sexual behavior, mediate organismal responses to environmental change, and allow for communication of information between organisms. Genes that code for hormones; the enzymes that synthesize, metabolize, and transport hormones; and hormone receptors are important targets for natural selection, and variation in their expression and function is a major driving force for the evolution of morphology and life history. Hormones coordinate physiology and behavior of populations of organisms, and thus play key roles in determining the structure of populations, communities, and ecosystems. The field of endocrinology is concerned with the study of hormones and their actions. This field is rooted in the comparative study of hormones in diverse species, which has provided the foundation for the modern fields of evolutionary, environmental, and biomedical endocrinology. Comparative endocrinologists work at the cutting edge of the life sciences. They identify new hormones, hormone receptors and mechanisms of hormone action applicable to diverse species, including humans; study the impact of habitat destruction, pollution, and climatic change on populations of organisms; establish novel model systems for studying hormones and their functions; and develop new genetic strains and husbandry practices for efficient production of animal protein. While the model system approach has dominated biomedical research in recent years, and has provided extraordinary insight into many basic cellular and molecular processes, this approach is limited to investigating a small minority of organisms. Animals exhibit tremendous diversity in form and function, life-history strategies, and responses to the environment. A major challenge for life scientists in the 21st century is to understand how a changing environment impacts all life on earth. A full understanding of the capabilities of organisms to respond to environmental variation, and the resilience of organisms challenged by environmental changes and extremes, is necessary for understanding the impact of pollution and climatic change on the viability of populations. Comparative endocrinologists have a key role to play in these efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Integrative and Comparative Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1093/icb/icp082","issn":"15407063","usgsCitation":"Denver, R., Hopkins, P., McCormick, S., Propper, C., Riddiford, L., Sower, S., and Wingfield, J., 2009, Comparative endocrinology in the 21st century: Integrative and Comparative Biology, v. 49, no. 4, p. 339-348, https://doi.org/10.1093/icb/icp082.","startPage":"339","endPage":"348","numberOfPages":"10","costCenters":[],"links":[{"id":476200,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icb/icp082","text":"Publisher Index Page"},{"id":217070,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/icb/icp082"},{"id":244982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-08-07","publicationStatus":"PW","scienceBaseUri":"5059f819e4b0c8380cd4ce99","contributors":{"authors":[{"text":"Denver, R.J.","contributorId":51159,"corporation":false,"usgs":true,"family":"Denver","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":461296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, P.M.","contributorId":25828,"corporation":false,"usgs":true,"family":"Hopkins","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":461294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, S. D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":20278,"corporation":false,"usgs":true,"family":"McCormick","given":"S. D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":461292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Propper, C.R.","contributorId":11074,"corporation":false,"usgs":true,"family":"Propper","given":"C.R.","affiliations":[],"preferred":false,"id":461291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riddiford, L.","contributorId":42844,"corporation":false,"usgs":true,"family":"Riddiford","given":"L.","email":"","affiliations":[],"preferred":false,"id":461295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sower, S.A.","contributorId":52841,"corporation":false,"usgs":true,"family":"Sower","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":461297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wingfield, J.C.","contributorId":22929,"corporation":false,"usgs":true,"family":"Wingfield","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":461293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037491,"text":"70037491 - 2009 - Kootenai River velocities, depth, and white sturgeon spawning site selection – A mystery unraveled?","interactions":[],"lastModifiedDate":"2017-08-12T08:43:30","indexId":"70037491","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Kootenai River velocities, depth, and white sturgeon spawning site selection – A mystery unraveled?","docAbstract":"<p><span>The Kootenai River white sturgeon&nbsp;</span><i>Acipenser transmontanus</i><span><span>&nbsp;</span>population in Idaho, US and British Columbia (BC), Canada became recruitment limited shortly after Libby Dam became fully operational on the Kootenai River, Montana, USA in 1974. In the USA the species was listed under the Endangered Species Act in September of 1994. Kootenai River white sturgeon spawn within an 18-km reach in Idaho, river kilometer (rkm) 228.0–246.0. Each autumn and spring Kootenai River white sturgeon follow a ‘short two-step’ migration from the lower river and Kootenay Lake, BC, to staging reaches downstream of Bonners Ferry, Idaho. Initially, augmented spring flows for white sturgeon spawning were thought to be sufficient to recover the population. Spring discharge mitigation enhanced white sturgeon spawning but a series of research investigations determined that the white sturgeon were spawning over unsuitable incubation and rearing habitat (sand) and that survival of eggs and larvae was negligible. It was not known whether post-Libby Dam management had changed the habitat or if the white sturgeon were not returning to more suitable spawning substrates farther upstream. Fisheries and hydrology researchers made a team effort to determine if the spawning habitat had been changed by Libby Dam operations. Researchers modeled and compared velocities, sediment transport, and bathymetry with post-Libby Dam white sturgeon egg collection locations. Substrate coring studies confirmed cobbles and gravel substrates in most of the spawning locations but that they were buried under a meter or more of post-Libby Dam sediment. Analysis suggested that Kootenai River white sturgeon spawn in areas of highest available velocity and depths over a range of flows. Regardless of the discharge, the locations of accelerating velocities and maximum depth do not change and spawning locations remain consistent. Kootenai River white sturgeon are likely spawning in the same locations as pre-dam, but post-Libby Dam water management has reduced velocities and shear stress, thus sediment is now covering the cobbles and gravels. Although higher discharges will likely provide more suitable spawning and rearing conditions, this would be socially and politically unacceptable because it would bring the river elevation to or in excess of 537.66&nbsp;m, which is flood stage. Thus, support should be given to habitat modifications incorporated into a management plan to restore suitable habitat and ensure better survival of eggs and larvae.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2009.01364.x","usgsCitation":"Paragamian, V., McDonald, R., Nelson, G., and Barton, G., 2009, Kootenai River velocities, depth, and white sturgeon spawning site selection – A mystery unraveled?: Journal of Applied Ichthyology, v. 25, no. 6, p. 640-646, https://doi.org/10.1111/j.1439-0426.2009.01364.x.","productDescription":"7 p.","startPage":"640","endPage":"646","ipdsId":"IP-011633","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":476222,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2009.01364.x","text":"Publisher Index Page"},{"id":245008,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217094,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2009.01364.x"}],"volume":"25","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a40c9e4b0c8380cd65030","contributors":{"authors":[{"text":"Paragamian, V.L.","contributorId":54439,"corporation":false,"usgs":true,"family":"Paragamian","given":"V.L.","email":"","affiliations":[],"preferred":false,"id":461304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, R.","contributorId":27668,"corporation":false,"usgs":true,"family":"McDonald","given":"R.","affiliations":[],"preferred":false,"id":461303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, G.J.","contributorId":19814,"corporation":false,"usgs":true,"family":"Nelson","given":"G.J.","email":"","affiliations":[],"preferred":false,"id":461302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, G.","contributorId":7111,"corporation":false,"usgs":true,"family":"Barton","given":"G.","affiliations":[],"preferred":false,"id":461301,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192378,"text":"70192378 - 2009 - A multidisciplinary effort to assign realistic source parameters to models of volcanic ash-cloud transport and dispersion during eruptions","interactions":[],"lastModifiedDate":"2017-10-25T11:34:44","indexId":"70192378","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"A multidisciplinary effort to assign realistic source parameters to models of volcanic ash-cloud transport and dispersion during eruptions","docAbstract":"<p>During volcanic eruptions, volcanic ash transport and dispersion models (VATDs) are used to forecast the location and movement of ash clouds over hours to days in order to define hazards to aircraft and to communities downwind. Those models use input parameters, called “eruption source parameters”, such as plume height <i>H</i>, mass eruption rate <i>Ṁ</i>, duration <i>D</i>, and the mass fraction <i>m</i><sub>63</sub> of erupted debris finer than about 4ϕ or 63&nbsp;μm, which can remain in the cloud for many hours or days. Observational constraints on the value of such parameters are frequently unavailable in the first minutes or hours after an eruption is detected. Moreover, observed plume height may change during an eruption, requiring rapid assignment of new parameters. This paper reports on a group effort to improve the accuracy of source parameters used by VATDs in the early hours of an eruption. We do so by first compiling a list of eruptions for which these parameters are well constrained, and then using these data to review and update previously studied parameter relationships. We find that the existing scatter in plots of <i>H</i> versus <i>Ṁ</i> yields an uncertainty within the 50% confidence interval of plus or minus a factor of four in eruption rate for a given plume height. This scatter is not clearly attributable to biases in measurement techniques or to well-recognized processes such as elutriation from pyroclastic flows. Sparse data on total grain-size distribution suggest that the mass fraction of fine debris <i>m</i><sub>63</sub> could vary by nearly two orders of magnitude between small basaltic eruptions (∼&nbsp;0.01) and large silicic ones (&gt;&nbsp;0.5). We classify eleven eruption types; four types each for different sizes of silicic and mafic eruptions; submarine eruptions; “brief” or Vulcanian eruptions; and eruptions that generate co-ignimbrite or co-pyroclastic flow plumes. For each eruption type we assign source parameters. We then assign a characteristic eruption type to each of the world's ∼&nbsp;1500 Holocene volcanoes. These eruption types and associated parameters can be used for ash-cloud modeling in the event of an eruption, when no observational constraints on these parameters are available.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2009.01.008","usgsCitation":"Mastin, L.G., Guffanti, M.C., Servranckx, R., Webley, P., Barsotti, S., Dean, K., Durant, A., Ewert, J.W., Neri, A., Rose, W., Schneider, D.J., Siebert, L., Stunder, B., Swanson, G., Tupper, A., Volentik, A., and Waythomas, C.F., 2009, A multidisciplinary effort to assign realistic source parameters to models of volcanic ash-cloud transport and dispersion during eruptions: Journal of Volcanology and Geothermal Research, v. 186, no. 1-2, p. 10-21, https://doi.org/10.1016/j.jvolgeores.2009.01.008.","productDescription":"12 p.","startPage":"10","endPage":"21","ipdsId":"IP-007193","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":347339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2abe4b0220bbd9d9feb","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guffanti, Marianne C. guffanti@usgs.gov","contributorId":641,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","email":"guffanti@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Servranckx, R.","contributorId":42067,"corporation":false,"usgs":false,"family":"Servranckx","given":"R.","email":"","affiliations":[{"id":35202,"text":"Canadian Meteorological Centre, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":715574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webley, P.","contributorId":96915,"corporation":false,"usgs":false,"family":"Webley","given":"P.","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":715575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barsotti, S.","contributorId":94530,"corporation":false,"usgs":false,"family":"Barsotti","given":"S.","email":"","affiliations":[{"id":16992,"text":"Istituto Nazionale di Geofisica e Vulcanologia Pisa","active":true,"usgs":false}],"preferred":false,"id":715576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, K.","contributorId":42767,"corporation":false,"usgs":false,"family":"Dean","given":"K.","email":"","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":715580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Durant, A.","contributorId":41262,"corporation":false,"usgs":false,"family":"Durant","given":"A.","email":"","affiliations":[{"id":27644,"text":"University of Bristol, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":715581,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ewert, John W. 0000-0003-2819-4057 jwewert@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":642,"corporation":false,"usgs":true,"family":"Ewert","given":"John","email":"jwewert@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715582,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neri, A.","contributorId":86966,"corporation":false,"usgs":false,"family":"Neri","given":"A.","email":"","affiliations":[{"id":16992,"text":"Istituto Nazionale di Geofisica e Vulcanologia Pisa","active":true,"usgs":false}],"preferred":false,"id":715583,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rose, W.I.","contributorId":121334,"corporation":false,"usgs":false,"family":"Rose","given":"W.I.","affiliations":[{"id":33237,"text":"Michigan Technological University, Department of Geological and Mining Engineering and Sciences","active":true,"usgs":false}],"preferred":false,"id":715584,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":633,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":715585,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Siebert, Lee","contributorId":20475,"corporation":false,"usgs":false,"family":"Siebert","given":"Lee","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":715586,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stunder, B.","contributorId":92524,"corporation":false,"usgs":false,"family":"Stunder","given":"B.","email":"","affiliations":[{"id":35203,"text":"Air Resources Laboratory, National Oceanic and Atmospheric Administration, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":715587,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Swanson, G.","contributorId":99405,"corporation":false,"usgs":false,"family":"Swanson","given":"G.","email":"","affiliations":[{"id":34793,"text":"National Oceanic and Atmospheric Administration (NOAA)","active":true,"usgs":false}],"preferred":false,"id":715588,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tupper, A.","contributorId":58056,"corporation":false,"usgs":false,"family":"Tupper","given":"A.","email":"","affiliations":[{"id":32858,"text":"Australian Bureau of Meteorology","active":true,"usgs":false}],"preferred":false,"id":715589,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Volentik, A.","contributorId":6294,"corporation":false,"usgs":false,"family":"Volentik","given":"A.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":715590,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715591,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70192572,"text":"70192572 - 2009 - Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes","interactions":[],"lastModifiedDate":"2018-10-12T09:41:12","indexId":"70192572","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes","docAbstract":"<p>The importance of lotic systems as sinks for nitrogen inputs is well recognized. A fraction of nitrogen in streamflow is removed to the atmosphere via denitrification with the remainder exported in streamflow as nitrogen loads. At the watershed scale, there is a keen interest in understanding the factors that control the fate of nitrogen throughout the stream channel network, with particular attention to the processes that deliver large nitrogen loads to sensitive coastal ecosystems. We use a dynamic stream transport model to assess biogeochemical (nitrate loadings, concentration, temperature) and hydrological (discharge, depth, velocity) effects on reach-scale denitrification and nitrate removal in the river networks of two watersheds having widely differing levels of nitrate enrichment but nearly identical discharges. Stream denitrification is estimated by regression as a nonlinear function of nitrate concentration, streamflow, and temperature, using more than 300 published measurements from a variety of US streams. These relations are used in the stream transport model to characterize nitrate dynamics related to denitrification at a monthly time scale in the stream reaches of the two watersheds. Results indicate that the nitrate removal efficiency of streams, as measured by the percentage of the stream nitrate flux removed via denitrification per unit length of channel, is appreciably reduced during months with high discharge and nitrate flux and increases during months of low-discharge and flux. Biogeochemical factors, including land use, nitrate inputs, and stream concentrations, are a major control on reach-scale denitrification, evidenced by the disproportionately lower nitrate removal efficiency in streams of the highly nitrate-enriched watershed as compared with that in similarly sized streams in the less nitrate-enriched watershed. Sensitivity analyses reveal that these important biogeochemical factors and physical hydrological factors contribute nearly equally to seasonal and stream-size related variations in the percentage of the stream nitrate flux removed in each watershed.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-008-9274-8","usgsCitation":"Alexander, R.B., Bohlke, J., Boyer, E.W., David, M.B., Harvey, J.W., Mulholland, P.J., Seitzinger, S.P., Tobias, C., Tonitto, C., and Wollheim, W.M., 2009, Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes: Biogeochemistry, v. 93, no. 1-2, p. 91-116, https://doi.org/10.1007/s10533-008-9274-8.","productDescription":"26 p.","startPage":"91","endPage":"116","ipdsId":"IP-006213","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-008-9274-8","text":"Publisher Index Page"},{"id":347471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1-2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-01-07","publicationStatus":"PW","scienceBaseUri":"5a07f85fe4b09af898c8ce16","contributors":{"authors":[{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":716342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":716343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":716344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, Mark B.","contributorId":43255,"corporation":false,"usgs":false,"family":"David","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":716345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":716346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulholland, Patrick J.","contributorId":112634,"corporation":false,"usgs":false,"family":"Mulholland","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":32968,"text":"Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":716347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seitzinger, Sybil P.","contributorId":198506,"corporation":false,"usgs":false,"family":"Seitzinger","given":"Sybil","email":"","middleInitial":"P.","affiliations":[{"id":35252,"text":"Rutgers University, NJ","active":true,"usgs":false}],"preferred":false,"id":716348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":716349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tonitto, Christina","contributorId":22168,"corporation":false,"usgs":false,"family":"Tonitto","given":"Christina","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":716350,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wollheim, Wilfred M.","contributorId":139742,"corporation":false,"usgs":false,"family":"Wollheim","given":"Wilfred","email":"","middleInitial":"M.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716351,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70193195,"text":"70193195 - 2009 - Genetic conservation and paddlefish propagation","interactions":[],"lastModifiedDate":"2017-11-15T15:35:36","indexId":"70193195","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Genetic conservation and paddlefish propagation","docAbstract":"<p>The conservation of genetic diversity of our natural resources is overwhelmingly one of the central foci of 21st century management practices. Three recommendations related to the conservation of paddlefish Polyodon spathula genetic diversity are to (1) identify genetic diversity at both nuclear and mitochondrial DNA loci using a suggested list of 20 sampling locations, (2) use genetic diversity estimates to develop genetic management units, and (3) identify broodstock sources to minimize effects of supplemental stocking on the genetic integrity of native paddlefish populations. We review previous genetic work on paddlefish and described key principles and concepts associated with maintaining genetic diversity within and among paddlefish populations and also present a genetic case study of current paddlefish propagation at the U.S. Fish and Wildlife Service Gavins Point National Fish Hatchery. This study confirmed that three potential sources of broodfish were genetically indistinguishable at the loci examined, allowing the management agencies cooperating on this program flexibility in sampling gametes. This study also showed significant bias in the hatchery occurred in terms of male reproductive contribution, which resulted in a shift in the genetic diversity of progeny compared to the broodfish. This shift was shown to result from differential male contributions, partially attributed to the mode of egg fertilization. Genetic insights enable implementation of a paddlefish propagation program within an adaptive management strategy that conserves inherent genetic diversity while achieving demographic goals.</p>","language":"English","publisher":" American Fisheries Society","usgsCitation":"Sloss, B.L., Klumb, R.A., and Heist, E., 2009, Genetic conservation and paddlefish propagation: American Fisheries Society Symposium, v. 66.","productDescription":"21 p.","startPage":"327","ipdsId":"IP-010520","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","edition":"307","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610cfde4b06e28e9c2576b","contributors":{"authors":[{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":718150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klumb, Robert A.","contributorId":86606,"corporation":false,"usgs":true,"family":"Klumb","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false},{"id":5089,"text":"South Dakota State University","active":true,"usgs":false},{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":722285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heist, Edward J.","contributorId":44849,"corporation":false,"usgs":true,"family":"Heist","given":"Edward J.","affiliations":[],"preferred":false,"id":722286,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192778,"text":"70192778 - 2009 - Review: Progress in rotational ground-motion observations from explosions and local earthquakes in Taiwan","interactions":[],"lastModifiedDate":"2020-03-24T06:20:59","indexId":"70192778","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Review: Progress in rotational ground-motion observations from explosions and local earthquakes in Taiwan","docAbstract":"<p id=\"p-1\">Rotational motions generated by large earthquakes in the far field have been successfully measured, and observations agree well with the classical elasticity theory. However, recent rotational measurements in the near field of earthquakes in Japan and in Taiwan indicate that rotational ground motions are 10 to 100 times larger than expected from the classical elasticity theory. The near-field strong-motion records of the 1999<span>&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;</span>7.6 Chi-Chi, Taiwan, earthquake suggest that the ground motions along the 100&nbsp;km rupture are complex. Some rather arbitrary baseline corrections are necessary in order to obtain reasonable displacement values from double integration of the acceleration data. Because rotational motions can contaminate acceleration observations due to the induced perturbation of the Earth’s gravitational field, we started a modest program to observe rotational ground motions in Taiwan.</p><p id=\"p-2\">Three papers have reported the rotational observations in Taiwan: (1)&nbsp;at the HGSD station (<span id=\"xref-ref-23-1\" class=\"xref-bibr\">Liu<span>&nbsp;</span><i>et&nbsp;al.</i>, 2009</span>), (2)&nbsp;at the N3 site from two TAiwan Integrated GEodynamics Research (TAIGER) explosions (<span id=\"xref-ref-22-1\" class=\"xref-bibr\">Lin<span>&nbsp;</span><i>et&nbsp;al.</i>, 2009</span>), and (3)&nbsp;at the Taiwan campus of the National Chung-Cheng University (NCCU) (<span id=\"xref-ref-45-1\" class=\"xref-bibr\">Wu<span>&nbsp;</span><i>et&nbsp;al.</i>, 2009</span>). In addition,<span>&nbsp;</span><span id=\"xref-ref-19-1\" class=\"xref-bibr\">Langston<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2009)</span><span>&nbsp;</span>reported the results of analyzing the TAIGER explosion data. As noted by several authors before, we found a linear relationship between peak rotational rate (PRR in mrad/sec) and peak ground acceleration (PGA in m/sec<sup>2</sup>) from local earthquakes in Taiwan, PRR=0.002+1.301 PGA, with a correlation coefficient of 0.988.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120080205","usgsCitation":"Lee, W.H., Huang, B., Langston, C.A., Lin, C., Liu, C., Shin, T., Teng, T., and Wu, C., 2009, Review: Progress in rotational ground-motion observations from explosions and local earthquakes in Taiwan: Bulletin of the Seismological Society of America, v. 99, no. 2B, p. 958-967, https://doi.org/10.1785/0120080205.","productDescription":"10 p.","startPage":"958","endPage":"967","ipdsId":"IP-007900","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Taiwan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              119.88281249999999,\n              21.555284406923178\n            ],\n            [\n              122.1240234375,\n              21.555284406923178\n            ],\n            [\n              122.1240234375,\n              25.463114529259403\n            ],\n            [\n              119.88281249999999,\n              25.463114529259403\n            ],\n            [\n              119.88281249999999,\n              21.555284406923178\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"99","issue":"2B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2009-05-01","publicationStatus":"PW","scienceBaseUri":"59f98bc4e4b0531197afa09c","contributors":{"authors":[{"text":"Lee, William H. K. whklee@usgs.gov","contributorId":623,"corporation":false,"usgs":true,"family":"Lee","given":"William","email":"whklee@usgs.gov","middleInitial":"H. K.","affiliations":[],"preferred":true,"id":718289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Bor-Shouh","contributorId":71651,"corporation":false,"usgs":true,"family":"Huang","given":"Bor-Shouh","email":"","affiliations":[],"preferred":false,"id":718290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langston, Charles A.","contributorId":52581,"corporation":false,"usgs":true,"family":"Langston","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lin, Chin-Jen","contributorId":199136,"corporation":false,"usgs":false,"family":"Lin","given":"Chin-Jen","email":"","affiliations":[],"preferred":false,"id":718292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Chun-Chi","contributorId":75240,"corporation":false,"usgs":true,"family":"Liu","given":"Chun-Chi","email":"","affiliations":[],"preferred":false,"id":718293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shin, Tzay-Chyn","contributorId":199137,"corporation":false,"usgs":false,"family":"Shin","given":"Tzay-Chyn","email":"","affiliations":[],"preferred":false,"id":718294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Teng, Ta-Liang","contributorId":198713,"corporation":false,"usgs":false,"family":"Teng","given":"Ta-Liang","email":"","affiliations":[],"preferred":false,"id":718295,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wu, Chien-Fu","contributorId":62302,"corporation":false,"usgs":true,"family":"Wu","given":"Chien-Fu","email":"","affiliations":[],"preferred":false,"id":718296,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70190436,"text":"70190436 - 2009 - Geochemical evolution of a high arsenic, alkaline pit-lake in the Mother Lode Gold District, California","interactions":[],"lastModifiedDate":"2017-08-31T11:17:18","indexId":"70190436","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evolution of a high arsenic, alkaline pit-lake in the Mother Lode Gold District, California","docAbstract":"<p id=\"p-1\">The Harvard orebody at the Jamestown gold mine, located along the Melones fault zone in the southern Mother Lode gold district, California, was mined in an open-pit operation from 1987 to 1994. Dewatering during mining produced a hydrologic cone of depression; recovery toward the premining ground-water configuration produced a monomictic pit lake with alkaline Ca-Mg-HCO<sub>3</sub>-SO<sub>4</sub>–type pit water, concentrations of As up to 1,200<span>&nbsp;</span><i>μ</i>g/L, and total dissolved solids (TDS) up to 2,000 mg/L. In this study, pit-wall rocks were mapped and chemically analyzed to provide a context for evaluating observed variability in the composition of the pit-lake waters in relationship to seasonal weather patterns. An integrated hydrogeochemical model of pit-lake evolution based on observations of pit-lake volume, water composition (samples collected between 1998–2000, 2004), and processes occurring on pit walls was developed in three stages using the computer code PHREEQC. Stage 1 takes account of seasonally variable water fluxes from precipitation, evaporation, springs, and ground water, as well as lake stratification and mixing processes. Stage 2 adds CO<sub>2</sub>fluxes and wall-rock interactions, and stage 3 assesses the predictive capability of the model.</p><p id=\"p-2\">Two major geologic units in fault contact comprise the pit walls. The hanging wall is composed of interlayered slate, metavolcanic and metavolcaniclastic rocks, and schists; the footwall rocks are chlorite-actinolite and talc-tremolite schists generated by metasomatism of greenschist-facies mafic and ultramafic igneous rocks. Alteration in the ore zone provides evidence for mineralizing fluids that introduced CO<sub>2</sub>, S, and K<sub>2</sub>O, and redistributed SiO<sub>2</sub>. Arsenian pyrite associated with the alteration weathers to produce goethite and jarosite on pit walls and in joints, as well as copiapite and hexahydrite efflorescences that accumulate on wall-rock faces during dry California summers. All of these pyrite weathering products incorporate arsenic at concentrations from &lt;100 up to 1,200 ppm. In the pit lake, pH and TDS reach seasonal highs in the summer epilimnion; pH is lowest in the summer hypolimnion. Arsenic and bicarbonate covary in the hypolimnion, rising as stratification proceeds and declining during winter rains. The computational model suggests that water fluxes alone do not account for this seasonal variability. Loss of CO<sub>2</sub><span>&nbsp;</span>to the atmosphere, interaction with pit walls including washoff of efflorescent salts during the first flush and seasonal rainfall, and arsenic sorption appear to contribute to the observed pit-lake characteristics.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.104.8.1171","usgsCitation":"Savage, K.S., Ashley, R.P., and Bird, D.K., 2009, Geochemical evolution of a high arsenic, alkaline pit-lake in the Mother Lode Gold District, California: Economic Geology, v. 104, no. 8, p. 1171-1211, https://doi.org/10.2113/gsecongeo.104.8.1171.","productDescription":"41 p.","startPage":"1171","endPage":"1211","ipdsId":"IP-012322","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":345385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mother Lode Gold District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.44079780578613,\n              37.94027155343197\n            ],\n            [\n              -120.43006896972655,\n              37.94027155343197\n            ],\n            [\n              -120.43006896972655,\n              37.94852933714952\n            ],\n            [\n              -120.44079780578613,\n              37.94852933714952\n            ],\n            [\n              -120.44079780578613,\n              37.94027155343197\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"104","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-12","publicationStatus":"PW","scienceBaseUri":"59a92042e4b07e1a023ccdb0","contributors":{"authors":[{"text":"Savage, Kaye S.","contributorId":196059,"corporation":false,"usgs":false,"family":"Savage","given":"Kaye","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":709155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley, Roger P. ashley@usgs.gov","contributorId":2749,"corporation":false,"usgs":true,"family":"Ashley","given":"Roger","email":"ashley@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":709156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Dennis K.","contributorId":9339,"corporation":false,"usgs":true,"family":"Bird","given":"Dennis","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":709157,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036631,"text":"70036631 - 2009 - Airborne gamma-ray and magnetic anomaly signatures of serpentinite in relation to soil geochemistry, northern California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70036631","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Airborne gamma-ray and magnetic anomaly signatures of serpentinite in relation to soil geochemistry, northern California","docAbstract":"Serpentinized ultramafic rocks and associated soils in northern California are characterized by high concentrations of Cr and Ni, low levels of radioelements (K, Th, and U) and high amounts of ferrimagnetic minerals (primarily magnetite). Geophysical attributes over ultramafic rocks, which include airborne gamma-ray and magnetic anomaly data, are quantified and provide indirect measurements on the relative abundance of radioelements and magnetic minerals, respectively. Attributes are defined through a statistical modeling approach and the results are portrayed as probabilities in chart and map form. Two predictive models are presented, including one derived from the aeromagnetic anomaly data and one from a combination of the airborne K, Th and U gamma-ray data. Both models distinguish preferential values within the aerogeophysical data that coincide with mapped and potentially unmapped ultramafic rocks. The magnetic predictive model shows positive probabilities associated with magnetic anomaly highs and, to a lesser degree, anomaly lows, which accurately locate many known ultramafic outcrops, but more interestingly, locate potentially unmapped ultramafic rocks, possible extensions of ultramafic bodies that dip into the shallow subsurface, as well as prospective buried ultramafic rocks. The airborne radiometric model shows positive probabilities in association with anomalously low gamma radiation measurements over ultramafic rock, which is similar to that produced by gabbro, metavolcanic rock, and water bodies. All of these features share the characteristic of being depleted in K, Th and U. Gabbro is the only rock type in the study area that shares similar magnetic properties with the ultramafic rock. The aerogeophysical model results are compared to the distribution of ultramafic outcrops and to Cr, Ni, K, Th and U concentrations and magnetic susceptibility measurements from soil samples. Analysis of the soil data indicates high positive correlation between magnetic susceptibilities and concentration of Cr and Ni. Although the study focused on characterizing the geophysical properties of ultramafic rocks and associated soils, it has also yielded information on other rock types in addition to ultramafic rocks, which can also locally host naturally-occurring asbestos; specifically, gabbro and metavolcanic rocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2009.04.007","issn":"08832927","usgsCitation":"McCafferty, A.E., and Van Gosen, B.S., 2009, Airborne gamma-ray and magnetic anomaly signatures of serpentinite in relation to soil geochemistry, northern California: Applied Geochemistry, v. 24, no. 8, p. 1524-1537, https://doi.org/10.1016/j.apgeochem.2009.04.007.","startPage":"1524","endPage":"1537","numberOfPages":"14","costCenters":[],"links":[{"id":245395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217446,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2009.04.007"}],"volume":"24","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e920e4b0c8380cd480f6","contributors":{"authors":[{"text":"McCafferty, A. E.","contributorId":93499,"corporation":false,"usgs":true,"family":"McCafferty","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":457071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, B. S. 0000-0003-4214-3811","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":97907,"corporation":false,"usgs":true,"family":"Van Gosen","given":"B.","middleInitial":"S.","affiliations":[],"preferred":false,"id":457072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188019,"text":"70188019 - 2009 - Volumetric visualization of multiple-return LIDAR data: Using voxels","interactions":[],"lastModifiedDate":"2017-05-26T13:45:45","indexId":"70188019","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Volumetric visualization of multiple-return LIDAR data: Using voxels","docAbstract":"<p>Elevation data are an important component in the visualization and analysis of geographic information. The creation and display of 3D models representing bare earth, vegetation, and surface structures have become a major focus of light detection and ranging (lidar) remote sensing research in the past few years. Lidar is an active sensor that records the distance, or range, of a laser usually fi red from an airplane, helicopter, or satellite. By converting the millions of 3D lidar returns from a system into bare ground, vegetation, or structural elevation information, extremely accurate, high-resolution elevation models can be derived and produced to visualize and quantify scenes in three dimensions. These data can be used to produce high-resolution bare-earth digital elevation models; quantitative estimates of vegetative features such as canopy height, canopy closure, and biomass; and models of urban areas such as building footprints and 3D city models.</p>","language":"English","publisher":"ASPRS","usgsCitation":"Stoker, J.M., 2009, Volumetric visualization of multiple-return LIDAR data: Using voxels: Photogrammetric Engineering and Remote Sensing, v. 75, no. 2, p. 109-112.","productDescription":"4 p.","startPage":"109","endPage":"112","ipdsId":"IP-010649","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e9ae4b016f7a9407723","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696205,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193858,"text":"70193858 - 2009 - Thermodynamic model for uplift and deflation episodes (bradyseism) associated with magmatic-hydrothermal activity at the Campi Flegrei (Italy)","interactions":[],"lastModifiedDate":"2017-11-06T16:03:59","indexId":"70193858","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Thermodynamic model for uplift and deflation episodes (bradyseism) associated with magmatic-hydrothermal activity at the Campi Flegrei (Italy)","docAbstract":"<p>Campi Flegrei (CF) is a large volcanic complex located west of the city of Naples, Italy. Repeated episodes of bradyseism (slow vertical ground movement) near the town of Pozzuoli have been documented since Roman times. Bradyseismic events are interpreted as the consequence of aqueous fluid exsolution during magma solidification on a slow timescale (10<sup>3</sup>–10<sup>4</sup>&nbsp;yr) superimposed upon a shorter (1–10&nbsp;yr) timescale for the episodic expulsion of fluid from a deep (~&nbsp;3–5&nbsp;km) lithostatically-pressured low-permeability reservoir to an overlying hydrostatic reservoir. Cycles of inflation and deflation occur during short duration transient events when connectivity is established between deep and shallow hydrothermal reservoirs. The total seismic energy released (4&nbsp;×&nbsp;10<sup>13</sup>&nbsp;J) during the 1983–1984 bradyseismic crisis is consistent with the observed volume change (uplift) and consistent with the notion that seismic failure occurs in response to the shear stress release induced by volume change. Fluid transport and concomitant propagation of hydrofractures as fluid expands from lithostatic to hydrostatic pressure during decompression leads to ground surface displacement. Fluid decompression occurs along the fluid isenthalp (Joule–Thompson expansion) during transient periods of reservoir connectivity and leads to mineral precipitation. Each kilogram of fluid precipitates about 3&nbsp;×&nbsp;10<sup>−&nbsp;3</sup>&nbsp;kg of silica along a typical decompression path along the isenthalp. Mineral precipitation modifies the permeability and acts to reseal connection paths thereby isolating lithostatic and hydrostatic reservoirs ending one bradyseism phase and beginning another. Crystallization and exsolution of the magmatic fluid generates ≈&nbsp;7&nbsp;×&nbsp;10<sup>15</sup>&nbsp;J of mechanical (<i>P</i>Δ<i>V</i>) energy, and this is sufficient to accomplish the observed uplift at CF. Although magma emplacement is the ultimate origin of bradyseism, fresh recharge of magma is not a prerequisite. Instead, short to intermediate timescale phenomena associated with fluid decompression and expansion in the crust with large variations in permeability, including permeability anisotropy, are the key elements at CF.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2009.10.001","usgsCitation":"Lima, A., De Vivo, B., Spera, F.J., Bodnar, R.J., Milia, A., Nunziata, C., Belkin, H.E., and Cannatelli, C., 2009, Thermodynamic model for uplift and deflation episodes (bradyseism) associated with magmatic-hydrothermal activity at the Campi Flegrei (Italy): Earth-Science Reviews, v. 97, no. 1, p. 44-58, https://doi.org/10.1016/j.earscirev.2009.10.001.","productDescription":"15 p.","startPage":"44","endPage":"58","ipdsId":"IP-012782","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":348304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Naples","otherGeospatial":"Campi Flegrei","volume":"97","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07f85ee4b09af898c8ce10","contributors":{"authors":[{"text":"Lima, Annamaria","contributorId":176910,"corporation":false,"usgs":false,"family":"Lima","given":"Annamaria","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":720755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Vivo, Benedetto","contributorId":199321,"corporation":false,"usgs":false,"family":"De Vivo","given":"Benedetto","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":720756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spera, Fran J.","contributorId":4824,"corporation":false,"usgs":false,"family":"Spera","given":"Fran","email":"","middleInitial":"J.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":720757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodnar, Robert J.","contributorId":199141,"corporation":false,"usgs":false,"family":"Bodnar","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":720758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milia, Alfonsa","contributorId":139456,"corporation":false,"usgs":false,"family":"Milia","given":"Alfonsa","email":"","affiliations":[{"id":35686,"text":"Istituto Ambiente Marino Costiero, CNR, Calata Porta di Massa, Porto di Napoli 80133, Italy","active":true,"usgs":false}],"preferred":false,"id":720759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nunziata, Concettina","contributorId":176854,"corporation":false,"usgs":false,"family":"Nunziata","given":"Concettina","email":"","affiliations":[{"id":34717,"text":"Universita di Napoli Federico II","active":true,"usgs":false}],"preferred":false,"id":720760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belkin, Harvey E. 0000-0001-7879-6529 hbelkin@usgs.gov","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":581,"corporation":false,"usgs":true,"family":"Belkin","given":"Harvey","email":"hbelkin@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":720761,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cannatelli, Claudia","contributorId":197986,"corporation":false,"usgs":false,"family":"Cannatelli","given":"Claudia","email":"","affiliations":[{"id":35512,"text":"University of Naples Federico II","active":true,"usgs":false},{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":720762,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193914,"text":"70193914 - 2009 - Defining and characterizing coolwater streams and their fish assemblages in Michigan and Wisconsin, USA","interactions":[],"lastModifiedDate":"2017-11-29T13:51:44","indexId":"70193914","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Defining and characterizing coolwater streams and their fish assemblages in Michigan and Wisconsin, USA","docAbstract":"<p>Coolwater streams, which are intermediate in character between coldwater “trout” streams and more diverse warmwater streams, occur widely in temperate regions but are poorly understood. We used modeled water temperature data and fish assemblage samples from 371 stream sites in Michigan and Wisconsin to define, describe, and map coolwater streams and their fish assemblages. We defined coolwater streams as ones having summer water temperatures suitable for both coldwater and warmwater species and used the observed distributions of the 99 fish species at our sites to identify coolwater thermal boundaries. Coolwater streams had June-through-August mean water temperatures of 17.0–20.5°C, July mean temperatures of 17.5–21.0°C, and maximum daily mean temperatures of 20.7–24.6°C. We delineated two subclasses of coolwater streams: “cold transition” (having July mean water temperatures of 17.5–19.5°C) and “warm transition” (having July mean temperatures of 19.5–21.0°C). Fish assemblages in coolwater streams were variable and lacked diagnostic species but were generally intermediate in species richness and overlapped in composition with coldwater and warmwater streams. In cold-transition streams, coldwater (e.g., salmonids and cottids) and transitional species (e.g., creek chub <i>Semotilus atromaculatus</i>, eastern blacknose dace <i>Rhynichthys atratulus</i>, white sucker <i>Catostomus commersonii</i>, and johnny darter <i>Etheostoma nigrum</i>) were common and warmwater species (e.g., ictalurids and centrarchids) were uncommon; in warm-transition streams warmwater and transitional species were common and coldwater species were uncommon. Coolwater was the most widespread and abundant thermal class in Michigan and Wisconsin, comprising 65% of the combined total stream length in the two states (cold-transition streams being more common than warm-transition ones). Our approach can be used to identify and characterize coolwater streams elsewhere in the temperate region, benefiting many aspects of fisheries management and environmental protection.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M08-118.1","usgsCitation":"Lyons, J., Zorn, T., Stewart, J.S., Seelbach, P.W., Wehrly, K., and Wang, L., 2009, Defining and characterizing coolwater streams and their fish assemblages in Michigan and Wisconsin, USA: North American Journal of Fisheries Management, v. 29, no. 4, p. 1130-1151, https://doi.org/10.1577/M08-118.1.","productDescription":"22 p.","startPage":"1130","endPage":"1151","ipdsId":"IP-005975","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":348550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, 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 \"}}]}","volume":"29","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2009-08-01","publicationStatus":"PW","scienceBaseUri":"5a06c8f9e4b09af898c862a2","contributors":{"authors":[{"text":"Lyons, John","contributorId":176499,"corporation":false,"usgs":false,"family":"Lyons","given":"John","email":"","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":721504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zorn, Troy","contributorId":200218,"corporation":false,"usgs":false,"family":"Zorn","given":"Troy","email":"","affiliations":[{"id":7024,"text":"Michigan Department of Natural Resources, Fisheries Research Station","active":true,"usgs":false}],"preferred":false,"id":721505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seelbach, Paul W. pseelbach@usgs.gov","contributorId":3937,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","email":"pseelbach@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":721507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wehrly, Kevin","contributorId":6090,"corporation":false,"usgs":false,"family":"Wehrly","given":"Kevin","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":721508,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Lizhu","contributorId":184191,"corporation":false,"usgs":false,"family":"Wang","given":"Lizhu","email":"","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":721509,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187395,"text":"70187395 - 2009 - Dust emission at Franklin Lake Playa, Mojave Desert (USA): Response to meteorological and hydrologic changes 2005-2008","interactions":[],"lastModifiedDate":"2017-05-01T15:36:44","indexId":"70187395","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2834,"text":"Natural Resources and Environmental Issues","active":true,"publicationSubtype":{"id":10}},"title":"Dust emission at Franklin Lake Playa, Mojave Desert (USA): Response to meteorological and hydrologic changes 2005-2008","docAbstract":"<p><span>Playa type, size, and setting; playa hydrology; and surface-sediment characteristics are important controls on the type and amount of atmospheric dust emitted from playas. Soft, evaporite-rich sediment develops on the surfaces of some Mojave Desert (USA) playas (wet playas), where the water table is shallow (&lt; 4 m). These areas are sources of atmospheric dust because of continuous or episodic replenishment of wind-erodible salts and disruption of the ground surface during salt formation by evaporation of ground water. Dust emission at Franklin Lake playa was monitored between March 2005 and April 2008. The dust record, based on day-time remote digital camera images captured during high wind, and compared with a nearby precipitation record, shows that aridity suppresses dust emission. High frequency of dust generation appears to be associated with relatively wet periods, identified as either heavy precipitation events or sustained regional precipitation over a few months. Several factors may act separately or in combination to account for this relation. Dust emission may respond rapidly to heavy precipitation when the dissolution of hard, wind-resistant evaporite mineral crusts is followed by the development of soft surfaces with thin, newly formed crusts that are vulnerable to wind erosion and (or) the production of loose aggregates of evaporite minerals that are quickly removed by even moderate winds. Dust loading may also increase when relatively high regional precipitation leads to decreasing depth to the water table, thereby increasing rates of vapor discharge, development of evaporite minerals, and temporary softening of playa surfaces. The seasonality of wind strength was not a major factor in dust-storm frequency at the playa. The lack of major dust emissions related to flood-derived sediment at Franklin Lake playa contrasts with some dry-lake systems elsewhere that may produce large amounts of dust from flood sediments. Flood sediments do not commonly accumulate on the surface of Franklin Lake playa because through-going drainage prevents frequent inundation and deposition of widespread flood sediment.</span></p>","language":"English","publisher":"Utah State University","usgsCitation":"Reynolds, R.L., Bogle, R., Vogel, J., Goldstein, H.L., and Yount, J., 2009, Dust emission at Franklin Lake Playa, Mojave Desert (USA): Response to meteorological and hydrologic changes 2005-2008: Natural Resources and Environmental Issues, v. 15, Article 18; 11 p,.","productDescription":"Article 18; 11 p,","ipdsId":"IP-007852","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340701,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.usu.edu/nrei/vol15/iss1/18"},{"id":340702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084936e4b0fc4e448ffda4","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":1915,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":693824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John","contributorId":99825,"corporation":false,"usgs":true,"family":"Vogel","given":"John","affiliations":[],"preferred":false,"id":693825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yount, James","contributorId":65172,"corporation":false,"usgs":true,"family":"Yount","given":"James","affiliations":[],"preferred":false,"id":693827,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189184,"text":"70189184 - 2009 - Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function","interactions":[],"lastModifiedDate":"2018-04-03T11:20:23","indexId":"70189184","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function","docAbstract":"<p><span>We evaluate the utility of three interrelated means of using data to calibrate the fully distributed rainfall‐runoff model TOPKAPI as applied to the Maggia Valley drainage area in Switzerland. The use of error‐based weighting of observation and prior information data, local sensitivity analysis, and single‐objective function nonlinear regression provides quantitative evaluation of sensitivity of the 35 model parameters to the data, identification of data types most important to the calibration, and identification of correlations among parameters that contribute to nonuniqueness. Sensitivity analysis required only 71 model runs, and regression required about 50 model runs. The approach presented appears to be ideal for evaluation of models with long run times or as a preliminary step to more computationally demanding methods. The statistics used include composite scaled sensitivities, parameter correlation coefficients, leverage, Cook's D, and DFBETAS. Tests suggest predictive ability of the calibrated model typical of hydrologic models.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR007255","usgsCitation":"Foglia, L., Hill, M.C., Mehl, S.W., and Burlando, P., 2009, Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function: Water Resources Research, v. 45, no. 6, Article W06427; 18 p., https://doi.org/10.1029/2008WR007255.","productDescription":"Article W06427; 18 p.","ipdsId":"IP-011230","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2009-06-24","publicationStatus":"PW","scienceBaseUri":"595f4c49e4b0d1f9f057e395","contributors":{"authors":[{"text":"Foglia, L.","contributorId":6251,"corporation":false,"usgs":true,"family":"Foglia","given":"L.","affiliations":[],"preferred":false,"id":703397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":703396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burlando, P.","contributorId":29209,"corporation":false,"usgs":true,"family":"Burlando","given":"P.","affiliations":[],"preferred":false,"id":703398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190419,"text":"70190419 - 2009 - Understanding differences between DELFT3D and empirical predictions of alongshore sediment transport gradients","interactions":[],"lastModifiedDate":"2017-08-30T14:43:26","indexId":"70190419","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Understanding differences between DELFT3D and empirical predictions of alongshore sediment transport gradients","docAbstract":"Predictions of alongshore transport gradients are critical for forecasting shoreline change. At \nthe previous ICCE conference, it was demonstrated that alongshore transport gradients \npredicted by the empirical CERC equation can differ substantially from predictions made by \nthe hydrodynamics-based model Delft3D in the case of a simulated borrow pit on the \nshoreface. Here we use the Delft3D momentum balance to examine the reason for this \ndifference. Alongshore advective flow accelerations in our Delft3D simulation are mainly \ndriven by pressure gradients resulting from alongshore variations in wave height and setup, \nand Delft3D transport gradients are controlled by these flow accelerations. The CERC \nequation does not take this process into account, and for this reason a second empirical \ntransport term is sometimes added when alongshore gradients in wave height are thought to be \nsignificant. However, our test case indicates that this second term does not properly predict \nalongshore transport gradients.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 31st International Conference, Coastal Engineering 2008","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789814277426_0154","usgsCitation":"List, J.H., Benedet, L., Hanes, D.M., and Ruggiero, P., 2009, Understanding differences between DELFT3D and empirical predictions of alongshore sediment transport gradients, <i>in</i> Proceedings of the 31st International Conference, Coastal Engineering 2008, p. 1864-1875, https://doi.org/10.1142/9789814277426_0154.","productDescription":"12 p.","startPage":"1864","endPage":"1875","ipdsId":"IP-010807","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"59a7ced6e4b0fd9b77d092cb","contributors":{"authors":[{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benedet, Lindino","contributorId":196042,"corporation":false,"usgs":false,"family":"Benedet","given":"Lindino","email":"","affiliations":[],"preferred":false,"id":709056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanes, Daniel M.","contributorId":96360,"corporation":false,"usgs":true,"family":"Hanes","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":709095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":709057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192429,"text":"70192429 - 2009 - Modeling hazardous mass flows Geoflows09: Mathematical and computational aspects of modeling hazardous geophysical mass flows; Seattle, Washington, 9–11 March 2009","interactions":[],"lastModifiedDate":"2017-10-25T16:18:29","indexId":"70192429","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Modeling hazardous mass flows Geoflows09: Mathematical and computational aspects of modeling hazardous geophysical mass flows; Seattle, Washington, 9–11 March 2009","docAbstract":"<p><span>A recent workshop at the University of Washington focused on mathematical and computational aspects of modeling the dynamics of dense, gravity-driven mass movements such as rock avalanches and debris flows. About 30 participants came from seven countries and brought diverse backgrounds in geophysics; geology; physics; applied and computational mathematics; and civil, mechanical, and geotechnical engineering. The workshop was cosponsored by the U.S. Geological Survey Volcano Hazards Program, by the U.S. National Science Foundation through a Vertical Integration of Research and Education (VIGRE) in the Mathematical Sciences grant to the University of Washington, and by the Pacific Institute for the Mathematical Sciences. It began with a day of lectures open to the academic community at large and concluded with 2 days of focused discussions and collaborative work among the participants.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2009EO230005","usgsCitation":"Iverson, R.M., and LeVeque, R.J., 2009, Modeling hazardous mass flows Geoflows09: Mathematical and computational aspects of modeling hazardous geophysical mass flows; Seattle, Washington, 9–11 March 2009: Eos, Earth and Space Science News, v. 90, no. 23, p. 201-201, https://doi.org/10.1029/2009EO230005.","productDescription":"1 p.","startPage":"201","endPage":"201","ipdsId":"IP-012988","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":347415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"23","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"59f1a2abe4b0220bbd9d9fe9","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeVeque, Randall J.","contributorId":198359,"corporation":false,"usgs":false,"family":"LeVeque","given":"Randall","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":715795,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70148130,"text":"70148130 - 2009 - Fishing mortality in North Carolina's southern flounder fishery: direct estimates of instantaneous fishing mortality from a tag return experiment","interactions":[],"lastModifiedDate":"2015-06-03T10:19:43","indexId":"70148130","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Fishing mortality in North Carolina's southern flounder fishery: direct estimates of instantaneous fishing mortality from a tag return experiment","docAbstract":"<p><span>Estimation of harvest rates is often a critical component of fishery stock assessment and management. These assessments are often based on catch-at-age data sets generated over many years, but estimates of instantaneous fishing mortality (</span><i>F</i><span>) can also be obtained from a shorter-term tag return study. We conducted a 2-year tag return experiment to generate direct estimates of&nbsp;</span><i>F</i><span>&nbsp;for southern flounder&nbsp;</span><i>Paralichthys lethostigma</i><span>&nbsp;in a North Carolina estuary. The southern flounder supports lucrative commercial and recreational fisheries within the state and has experienced heavy fishing pressure for more than a decade. During 2005 and 2006, fish were captured and tagged with the assistance of commercial harvesters in the New River estuary. Tag returns were used to generate monthly estimates of&nbsp;</span><i>F</i><span>, which demonstrated a clear seasonal pattern that was consistent between years. Several important assumptions of the tag return model were accounted for through the use of double-tagged individuals, the distribution of both high- and standard-reward tags, and the completion of an independent controlled experiment to evaluate mortality related to tagging. Annual estimates of&nbsp;</span><i>F</i><span>&nbsp;exceeded the short-term management target in both years. Residual patterns suggest that the estimates may actually have been biased low, possibly due to delayed mixing of tagged fish. Thus, despite recently amended fishery regulations,&nbsp;</span><i>F</i><span>&nbsp;in the North Carolina southern flounder gill-net fishery still has the potential to greatly exceed targeted levels, which may delay stock recovery. Tag return studies can provide reliable (and nearly real-time) information about&nbsp;</span><i>F</i><span>&nbsp;and natural mortality as long as the experimental design addresses specific assumptions related to tagging-induced mortality, tag shedding, and nonreporting of tags.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1577/C09-009.1","usgsCitation":"Smith, W.E., Scharf, F.S., and Hightower, J.E., 2009, Fishing mortality in North Carolina's southern flounder fishery: direct estimates of instantaneous fishing mortality from a tag return experiment: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 1, no. 1, p. 283-299, https://doi.org/10.1577/C09-009.1.","productDescription":"17 p.","startPage":"283","endPage":"299","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010537","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":476274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1577/c09-009.1","text":"Publisher Index Page"},{"id":301003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"New River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.30186462402344,\n              34.548418116253366\n            ],\n            [\n              -77.33551025390624,\n              34.57612563188475\n            ],\n            [\n              -77.35954284667969,\n              34.58912801692681\n            ],\n            [\n              -77.36709594726561,\n              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E.","contributorId":141055,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":548125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharf, Frederick S.","contributorId":140980,"corporation":false,"usgs":false,"family":"Scharf","given":"Frederick","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":548126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035800,"text":"70035800 - 2009 - A robust, multisite Holocene history of drift ice off northern Iceland: Implications for North Atlantic climate","interactions":[],"lastModifiedDate":"2012-03-12T17:21:52","indexId":"70035800","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1905,"text":"Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A robust, multisite Holocene history of drift ice off northern Iceland: Implications for North Atlantic climate","docAbstract":"An important indicator of Holocene climate change is provided by evidence for variations in the extent of drift ice. A proxy for drift ice in Iceland waters is provided by the presence of quartz. Quantitative x-ray diffraction analysis of the < 2 mm sediment fraction was undertaken on 16 cores from around Iceland. The quartz weight (wt.)% estimates from each core were integrated into 250-yr intervals between ????'0.05 and 11.7 cal. ka BP. Median quartz wt.% varied between 0.2 and 3.4 and maximum values ranged between 2.8 and 11.8 wt.%. High values were attained in the early Holocene and minimum values were reached 6 - 7 cal. ka BP. Quartz wt.% then rose steadily during the late Holocene. Our data exhibit no correlation with counts on haematite-stained quartz (HSQ) grains from VM129-191 west of Ireland casting doubt on the ice-transport origin. A pilot study on the provenance of Fe oxide grains in two cores that cover the last 1.3 and 6.1 cal. ka BP indicated a large fraction of the grains between 1 and 6 cal. ka BP were from either Icelandic or presently unsampled sources. However, there was a dramatic increase in Canadian and Russian sources from the Arctic Ocean ???1 cal. ka BP. These data may indicate the beginning of an Arctic Oscillation-like climate mode. ?? 2009 SAGE Publications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Holocene","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1177/0959683608098953","issn":"09596836","usgsCitation":"Andrews, J.T., Darby, D., Eberle, D., Jennings, A.E., Moros, M., and Ogilvie, A., 2009, A robust, multisite Holocene history of drift ice off northern Iceland: Implications for North Atlantic climate: Holocene, v. 19, no. 1, p. 71-77, https://doi.org/10.1177/0959683608098953.","startPage":"71","endPage":"77","numberOfPages":"7","costCenters":[],"links":[{"id":476284,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.odu.edu/oeas_fac_pubs/285","text":"External Repository"},{"id":216283,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1177/0959683608098953"},{"id":244146,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-02-01","publicationStatus":"PW","scienceBaseUri":"5059e565e4b0c8380cd46d2c","contributors":{"authors":[{"text":"Andrews, John T.","contributorId":79678,"corporation":false,"usgs":true,"family":"Andrews","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":452470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darby, D.","contributorId":24941,"corporation":false,"usgs":true,"family":"Darby","given":"D.","affiliations":[],"preferred":false,"id":452467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eberle, D.","contributorId":17071,"corporation":false,"usgs":true,"family":"Eberle","given":"D.","email":"","affiliations":[],"preferred":false,"id":452465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jennings, A. E.","contributorId":66682,"corporation":false,"usgs":true,"family":"Jennings","given":"A.","middleInitial":"E.","affiliations":[],"preferred":false,"id":452469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moros, M.","contributorId":49597,"corporation":false,"usgs":true,"family":"Moros","given":"M.","email":"","affiliations":[],"preferred":false,"id":452468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ogilvie, A.","contributorId":23356,"corporation":false,"usgs":true,"family":"Ogilvie","given":"A.","email":"","affiliations":[],"preferred":false,"id":452466,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148355,"text":"70148355 - 2009 - Littoral transport rates in the Santa Barbara Littoral Cell: a process-based model analysis","interactions":[],"lastModifiedDate":"2015-05-29T09:29:03","indexId":"70148355","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Littoral transport rates in the Santa Barbara Littoral Cell: a process-based model analysis","docAbstract":"<p>Identification of the sediment transport patterns and pathways is essential for sustainable coastal zone management of the heavily modified coastline of Santa Barbara and Ventura County (California, USA). A process-based model application, based on Delft3D Online Morphology, is used to investigate the littoral transport potential along the Santa Barbara Littoral Cell (between Point Conception and Mugu Canyon). An advanced optimalization procedure is applied to enable annual sediment transport computations by reducing the ocean wave climate in 10 wave height - direction classes. Modeled littoral transport rates compare well with observed dredging volumes, and erosion or sedimentation hotspots coincide with the modeled divergence and convergence of the transport gradients. Sediment transport rates are strongly dependent on the alongshore variation in wave height due to wave sheltering, diffraction and focusing by the Northern Channel Islands, and the local orientation of the geologically-controlled coastline. Local transport gradients exceed the net eastward littoral transport, and are considered a primary driver for hot-spot erosion.</p>","conferenceTitle":"10th International Coastal Symposium","conferenceDate":"April 13-18, 2009","conferenceLocation":"Lisbon, Portugal","language":"English","publisher":"Coastal Education and Research Foundation","usgsCitation":"Elias, E.P., Barnard, P.L., and Brocatus, J., 2009, Littoral transport rates in the Santa Barbara Littoral Cell: a process-based model analysis: Journal of Coastal Research, no. Special Issue 56, p. 947-951.","productDescription":"5 p.","startPage":"947","endPage":"951","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010918","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":300906,"type":{"id":15,"text":"Index Page"},"url":"https://www.cerf-jcr.org/index.php/international-coastal-symposium/ics-2009portugal/1328-littoral-transport-rates-in-the-santa-barbara-littoral-cell-a-process-based-model-analysis-epl-elias-pl-barnard-and-j-brocatus"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Littoral Cell","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.41702270507812,\n              34.453350878522286\n            ],\n            [\n              -120.23162841796875,\n              34.472599425831355\n            ],\n            [\n              -120.12725830078125,\n              34.47373155509983\n            ],\n            [\n              -120.08605957031249,\n              34.46127728843705\n            ],\n            [\n              -120.05447387695311,\n              34.46467409091155\n            ],\n            [\n              -120.01121520996094,\n              34.46099421532544\n            ],\n            [\n              -119.9604034423828,\n              34.43862840686652\n            ],\n            [\n              -119.9483871459961,\n              34.43466422118617\n            ],\n            [\n              -119.91577148437499,\n              34.43409789359469\n            ],\n            [\n              -119.87869262695312,\n              34.40804267622734\n            ],\n            [\n              -119.84230041503906,\n              34.40464357107097\n            ],\n            [\n              -119.83646392822266,\n              34.41569015785019\n            ],\n            [\n              -119.78942871093749,\n              34.418239163003484\n            ],\n            [\n              -119.72351074218749,\n              34.39671178864245\n            ],\n            [\n              -119.70016479492188,\n              34.39671178864245\n            ],\n            [\n              -119.67475891113281,\n              34.415973384481866\n            ],\n            [\n              -119.60266113281249,\n              34.420504880133834\n            ],\n            [\n              -119.55665588378905,\n              34.414840472199934\n            ],\n            [\n              -119.51408386230469,\n              34.38821261603411\n            ],\n            [\n              -119.48387145996094,\n              34.38197934098774\n            ],\n            [\n              -119.388427734375,\n              34.3207552752374\n            ],\n            [\n              -119.36782836914061,\n              34.32188946052673\n            ],\n            [\n              -119.32388305664064,\n              34.28331856338139\n            ],\n            [\n              -119.28268432617188,\n              34.27253823511796\n            ],\n            [\n              -119.26963806152344,\n              34.252676117101515\n            ],\n            [\n              -119.26551818847656,\n              34.22826766646368\n            ],\n            [\n              -119.22706604003905,\n              34.156136287732515\n            ],\n            [\n              -119.31015014648438,\n              34.0833745509365\n            ],\n            [\n              -119.55871582031251,\n              34.21180215769026\n            ],\n            [\n              -119.70840454101561,\n              34.252676117101515\n            ],\n            [\n              -120.39916992187499,\n              34.250405862125\n            ],\n            [\n              -120.41702270507812,\n              34.453350878522286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"Special Issue 56","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55698de3e4b0d9246a9f64a7","contributors":{"authors":[{"text":"Elias, E. P. L.","contributorId":140983,"corporation":false,"usgs":false,"family":"Elias","given":"E.","email":"","middleInitial":"P. L.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":547822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brocatus, John","contributorId":66800,"corporation":false,"usgs":true,"family":"Brocatus","given":"John","email":"","affiliations":[],"preferred":false,"id":547824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160214,"text":"70160214 - 2009 - Age, growth, mortality, and reproduction of Roughtongue bass, <i>Pronotogrammus martinicensis</i> 9Serranidae), in the northeastern Gulf of Mexico","interactions":[],"lastModifiedDate":"2015-12-14T09:19:40","indexId":"70160214","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1873,"text":"Gulf of Mexico Science","active":true,"publicationSubtype":{"id":10}},"title":"Age, growth, mortality, and reproduction of Roughtongue bass, <i>Pronotogrammus martinicensis</i> 9Serranidae), in the northeastern Gulf of Mexico","docAbstract":"<p>The inaccessibility of outer continental shelf reefs has made it difficult to investigate the biology of Pronotogrammus martinicensis, a small sea bass known to be numerous and widely distributed in such habitat. This study takes advantage of a series of cruises in the northeastern Gulf of Mexico that collected 1,485 individuals. Fish were collected over or in the vicinity of reef habitats with hook and line, otter trawl, and rotenone. We present a preliminary validation of an otolith ageing method and report that P. martinicensis reached a maximum size of 143 mm standard length (SL), grew to about 50% of this size within their first year, and lived to a maximum age of 15 yr. Size at age data (n = 490) fitted to the von Bertalanffy growth model yielded the predictive equation: SLt = 106.3(1 2 e [20.641{t20.646}]), where t = age in years. Gonad histology (n = 333) was examined to confirm that P. martinicensis is a protogynous, monandric hermaphrodite. We found no evidence of simultaneous hermaphroditism, which had been tentatively proposed in a previous study. Most P. martinicensis matured as females in their second year (age 1), primary oocytes developed asynchronously into secondary oocytes, and females were batch spawners. Males were postmaturational. Seminiferous tissue formed as early as age 1, but, although the rate of sex change is unknown, most fish did not function as a male until age 3 or age 4. These data provide age-based benchmarks of a common reef fish species living on the outer continental shelf of the tropical western North Atlantic Ocean.</p>","language":"English","publisher":"Dauphin Island Sea Lab","usgsCitation":"McBride, R.S., Sulak, K.J., Thurman, P.E., and Richardson, A.K., 2009, Age, growth, mortality, and reproduction of Roughtongue bass, <i>Pronotogrammus martinicensis</i> 9Serranidae), in the northeastern Gulf of Mexico: Gulf of Mexico Science, v. 27, no. 1, p. 30-38.","productDescription":"9 p.","startPage":"30","endPage":"38","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":312228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312227,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://goms.disl.org/toc/vol.-27-no.-1-january-2009"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.33984375,\n              25.839449402063185\n            ],\n            [\n              -93.33984375,\n              31.27855085894653\n            ],\n            [\n              -82.001953125,\n              31.27855085894653\n            ],\n            [\n              -82.001953125,\n              25.839449402063185\n            ],\n            [\n              -93.33984375,\n              25.839449402063185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566ff63ce4b09cfe53ca7968","contributors":{"authors":[{"text":"McBride, Richard S.","contributorId":48027,"corporation":false,"usgs":true,"family":"McBride","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":582050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sulak, Kenneth J. 0000-0002-4795-9310 ksulak@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-9310","contributorId":2217,"corporation":false,"usgs":true,"family":"Sulak","given":"Kenneth","email":"ksulak@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":582051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurman, Paul E.","contributorId":71831,"corporation":false,"usgs":true,"family":"Thurman","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":582052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Adam K.","contributorId":150544,"corporation":false,"usgs":false,"family":"Richardson","given":"Adam","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":582053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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