{"pageNumber":"1170","pageRowStart":"29225","pageSize":"25","recordCount":184937,"records":[{"id":70192838,"text":"70192838 - 2016 - Significance of beating observed in earthquake responses of buildings","interactions":[],"lastModifiedDate":"2018-02-02T15:10:33","indexId":"70192838","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Significance of beating observed in earthquake responses of buildings","docAbstract":"<p>The beating phenomenon observed in the recorded responses of a tall building in Japan and another in the U.S. are examined in this paper. Beating is a periodic vibrational behavior caused by distinctive coupling between translational and torsional modes that typically have close frequencies. Beating is prominent in the prolonged resonant responses of lightly damped structures. Resonances caused by site effects also contribute to accentuating the beating effect. Spectral analyses and system identification techniques are used herein to quantify the periods and amplitudes of the beating effects from the strong motion recordings of the two buildings. Quantification of beating effects is a first step towards determining remedial actions to improve resilient building performance to strong earthquake induced shaking. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"16th U.S.-Japan-New Zealand Workshop on the  Improvement of Structural Engineering and Resiliency","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Applied Technology Council","usgsCitation":"Çelebi, M., Ghahari, S.F., and Taciroglu, E., 2016, Significance of beating observed in earthquake responses of buildings, <i>in</i> 16th U.S.-Japan-New Zealand Workshop on the  Improvement of Structural Engineering and Resiliency.","ipdsId":"IP-075048","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":350988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d9e4b00f54eb1d81fa","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. F.","contributorId":147707,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":717145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taciroglu, E.","contributorId":147710,"corporation":false,"usgs":false,"family":"Taciroglu","given":"E.","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":717146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192206,"text":"70192206 - 2016 - 2015 status of the Lake Ontario lower trophic levels","interactions":[],"lastModifiedDate":"2023-05-09T14:21:14.12708","indexId":"70192206","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2015","chapter":"16","title":"2015 status of the Lake Ontario lower trophic levels","docAbstract":"<ol><li>Offshore spring total phosphorus (TP) in 2015 was 4.2 μ g/L, the same as in 2014; this is lower than 2001 - 2013, but there is no significant time trend 2001 - 2015. Offshore soluble reactive phosphorus (SRP) was very low in 2015; Apr/May - Oct mean values were &lt;1 μ g/L at most sites. SRP has been stable in nearshore and offshore habitats since 1998 (range, 0.4 – 3.3 μ g/L). TP concentrations were low at both nearshore and offshore locations (range 4.2 - 8.1 μ g/L), and TP and SRP concentrations were significantly higher in the nearshore as compared to the offshore (6.8 μ g/L vs 4.8 μ g/L, TP; 1.1 μ g/L vs 0.7 μ g/L, SRP).</li><li>Chlorophyll-<i>a</i> and Secchi depth values are indicative of oligotrophic conditions in nearshore and offshore habitats. Offshore summer chlorophyll- a declined significantly 2000 - 2015. Nearshore chlorophyll- a increased 1995 - 2004 but then declined 2005 - 2015. Epilimnetic chlorophyll-<i>a</i> averaged between 0.9 and 1.9 1 μg/L across sites, and offshore concentrations (1.4 1 μg/L) were significantly higher than nearshore (1.1 μg/L). Summer Secchi depth increased significantly in the offshore 2000 -2015 and showed no trend in the nearshore, 1995 - 2015. Apr/May - Oct Secchi depth ranged from 5.0 m to 13.0 m at individual sites and was higher in the offshore (9.5 m) than nearshore (6.2 m).</li><li>In 2015, Apr/May - Oct epilimnetic zooplankton density, size, and biomass were not different between the offshore and the nearshore, but cyclopoid biomass was higher in the offshore (8.3 mg/m 3 vs 2.0 mg/m<sup>3</sup>) and <i>Bythotrephes</i> biomass was higher in the nearshore (0.17 mg/m<sup>3</sup> vs 0.04 mg/m<sup>3</sup>).</li><li>Zooplankton density and biomass peaked in September, an atypical pattern. This coincided with peaks in calanoid copepod, daphnid, and <i>Holopedium</i> <i>Holopedium</i> biomass in the nearshore has increased significantly since 1995.</li><li>The predatory cladoceran <i>Cercopagis</i> continued to be abundant in summer in the nearshore (3.4 μ g/L) but not in the offshore (0.8 μ g/L). <i>Bythotrephes</i> biomass was very low (&lt;0.3 μ g/L) in both nearshore and offshore habitats. Combined biomass of these predatory cladocerans in the offshore was the lowest recorded since 2001.</li><li>Summer nearshore zooplankton density and biomass declined significantly 1995 - 2004 and then increased significantly 2005 – 2015. The decline was due to reductions in bosminids and cyclopoids and the increase was due mostly to a rebound in bosminids.</li><li>Summer offshore zooplankton density and biomass increased significantly 2005 - 2015. The increase was due to an increase in bosminids and cyclopoids. In 2015, offshore summer epilimnetic zooplankton biomass was 52 mg/m<sup>3</sup> (2005 - 2014 mean=18 mg/m<sup>3</sup>).</li><li>Most zooplankton biomass was found in the metalimnion in July and in the hypolimnion in September. Cyclopoids and <i>Limnocalanus</i> dominated the metalimnion and <i>Limnocalanus</i> dominated the hypolimnion. Whole water column samples taken show a stable zooplankton biomass but changing community composition since 2010. Cyclopoids increased 2013 - 2015 and daphnids declined 2014 - 2015.</li></ol>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2015 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 31 - April 1, 2016","conferenceLocation":"Niagra Falls, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Holeck, K.T., Rudstam, L.G., Hotaling, C., McCullough, R., Lemon, D., Pearsall, W., Lantry, J., Connerton, M., LaPan, S., Biesinger, Z., Lantry, B.F., Walsh, M., and Weidel, B., 2016, 2015 status of the Lake Ontario lower trophic levels: NYSDEC Lake Ontario Annual Report  2015, 30 p.","productDescription":"30 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,{"id":70189245,"text":"70189245 - 2016 - Rare earth element deposits in China","interactions":[],"lastModifiedDate":"2017-07-06T15:08:55","indexId":"70189245","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Rare earth element deposits in China","docAbstract":"<p>China is the world’s leading rare earth element (REE) producer and hosts a variety of deposit types. Carbonatite- related REE deposits, the most significant deposit type, include two giant deposits presently being mined in China, Bayan Obo and Maoniuping, the first and third largest deposits of this type in the world, respectively. The carbonatite-related deposits host the majority of China’s REE resource and are the primary supplier of the world’s light REE. The REE-bearing clay deposits, or ion adsorption-type deposits, are second in importance and are the main source in China for heavy REE resources. Other REE resources include those within monazite or xenotime placers, beach placers, alkaline granites, pegmatites, and hydrothermal veins, as well as some additional deposit types in which REE are recovered as by-products. </p><p>Carbonatite-related REE deposits in China occur along craton margins, both in rifts (e.g., Bayan Obo) and in reactivated transpressional margins (e.g., Maoniuping). They comprise those along the northern, eastern, and southern margins of the North China block, and along the western margin of the Yangtze block. Major structural features along the craton margins provide first-order controls for REE-related Proterozoic to Cenozoic carbonatite alkaline complexes; these are emplaced in continental margin rifts or strike-slip faults. </p><p>The ion adsorption-type REE deposits, mainly situated in the South China block, are genetically linked to the weathering of granite and, less commonly, volcanic rocks and lamprophyres. Indosinian (early Mesozoic) and Yanshanian (late Mesozoic) granites are the most important parent rocks for these REE deposits, although Caledonian (early Paleozoic) granites are also of local importance. The primary REE enrichment is hosted in various mineral phases in the igneous rocks and, during the weathering process, the REE are released and adsorbed by clay minerals in the weathering profile. Currently, these REE-rich clays are primarily mined from open-pit operations in southern China. </p><p>The complex geologic evolution of China’s Precambrian blocks, particularly the long-term subduction of ocean crust below the North and South China blocks, enabled recycling of REE-rich pelagic sediments into mantle lithosphere. This resulted in the REE-enriched nature of the mantle below the Precambrian cratons, which were reactivated and thus essentially decratonized during various tectonic episodes throughout the Proterozoic and Phanerozoic. Deep fault zones within and along the edges of the blocks, including continental rifts and strike-slip faults, provided pathways for upwelling of mantle material.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reviews in Economic Geology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Xie, Y., Hou, Z., Goldfarb, R.J., Guo, X., and Wang, L., 2016, Rare earth element deposits in China, chap. <i>of</i> Reviews in Economic Geology, v. 18, p. 115-136.","productDescription":"22 p.","startPage":"115","endPage":"136","ipdsId":"IP-055440","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c40e4b0d1f9f057e354","contributors":{"authors":[{"text":"Xie, Yu-Ling","contributorId":194313,"corporation":false,"usgs":false,"family":"Xie","given":"Yu-Ling","email":"","affiliations":[],"preferred":false,"id":703702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hou, Zeng-qian","contributorId":194314,"corporation":false,"usgs":false,"family":"Hou","given":"Zeng-qian","email":"","affiliations":[],"preferred":false,"id":703703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldfarb, Richard J. goldfarb@usgs.gov","contributorId":1205,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","email":"goldfarb@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":703701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Xiang","contributorId":194315,"corporation":false,"usgs":false,"family":"Guo","given":"Xiang","email":"","affiliations":[],"preferred":false,"id":703704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":703705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191876,"text":"70191876 - 2016 - The value of closed-circuit rebreathers for biological research","interactions":[],"lastModifiedDate":"2018-02-28T11:22:57","indexId":"70191876","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The value of closed-circuit rebreathers for biological research","docAbstract":"Closed-circuit rebreathers have been used for underwater biological research since the late 1960s, but have only started to gain broader application within scientific diving organizations within the past two decades. Rebreathers offer certain specific advantages for such research, especially for research involving behavior and surveys that depend on unobtrusive observers or for a stealthy approach to wildlife for capture and tagging, research that benefits from extended durations underwater, and operations requiring access to relatively deep (>50 m) environments (especially in remote locations). Although many institutions have been slow to adopt rebreather technology within their diving programs, recent developments in rebreather technology that improve safety, standardize training requirements, and reduce costs of equipment and maintenance, will likely result in a trend of increasing utilization of rebreathers for underwater biological research.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rebreathers and Scientific Diving. Proceedings of NPS/NOAA/DAN/AAUS","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Wrigley Marine Science Center","usgsCitation":"Pyle, R.L., Lobel, P.S., and Tomoleoni, J.A., 2016, The value of closed-circuit rebreathers for biological research, <i>in</i> Rebreathers and Scientific Diving. Proceedings of NPS/NOAA/DAN/AAUS, p. 120-134.","productDescription":"15 p.","startPage":"120","endPage":"134","ipdsId":"IP-068839","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346869,"type":{"id":15,"text":"Index Page"},"url":"https://www.omao.noaa.gov/sites/default/files/documents/Rebreathers%20and%20Scientific%20Diving%20Proceedings%202016.pdf"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5ed","contributors":{"authors":[{"text":"Pyle, Richrad L.","contributorId":197437,"corporation":false,"usgs":false,"family":"Pyle","given":"Richrad","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":713501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lobel, Phillip S.","contributorId":197438,"corporation":false,"usgs":false,"family":"Lobel","given":"Phillip","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":713500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191988,"text":"70191988 - 2016 - Ecology and conservation of Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2018-01-25T13:38:17","indexId":"70191988","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Ecology and conservation of Lesser Prairie-Chickens","docAbstract":"<p><span>Lesser Prairie-Chickens have experienced substantial declines in terms of population and the extent of area that they occupy. While they are an elusive species, making it difficult at times to monitor them, current evidence indicates that they have been persistently decreasing in number since the Dust Bowl of the 1930s dramatically affected their core range. In May of 2014, the United States Fish and Wildlife Service listed Lesser Prairie-Chickens as a threatened species, granting them federal protection under the Endangered Species Act, which included a special rule recognizing significant conservation planning efforts made by state and federal wildlife agencies within the geographical range of the species. Although the listing was vacated by judicial ruling in September 2015, concern for persistence of the species persists. These actions illustrate the uncertain legal status and future conservation challenges for Lesser Prairie-Chickens.</span></p>","language":"English","publisher":"CRC Press","isbn":"9781482240221","usgsCitation":"2016, Ecology and conservation of Lesser Prairie-Chickens, 376 p.","productDescription":"376 p.","ipdsId":"IP-059262","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350619,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Ecology-and-Conservation-of-Lesser-Prairie-Chickens/Haukos-Boal/p/book/9781482240221"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a910","contributors":{"editors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":725823,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":725824,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70191979,"text":"70191979 - 2016 - Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods","interactions":[],"lastModifiedDate":"2018-01-26T14:15:01","indexId":"70191979","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-120-2016","title":"Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods","docAbstract":"<p>During the 2004–2005 to 2015–2016 hunting seasons, the New Mexico Department of Game and Fish (NMDGF) estimated black bear abundance (Ursus americanus) across the state by coupling density estimates with the distribution of primary habitat generated by Costello et al. (2001). These estimates have been used to set harvest limits. For example, a density of 17 bears/100 km2 for the Sangre de Cristo and Sacramento Mountains and 13.2 bears/100 km2 for the Sandia Mountains were used to set harvest levels. The advancement and widespread acceptance of non-invasive sampling and mark-recapture methods, prompted the NMDGF to collaborate with the New Mexico Cooperative Fish and Wildlife Research Unit and New Mexico State University to update their density estimates for black bear populations in select mountain ranges across the state.</p><p>We established 5 study areas in 3 mountain ranges: the northern (NSC; sampled in 2012) and southern Sangre de Cristo Mountains (SSC; sampled in 2013), the Sandia Mountains (Sandias; sampled in 2014), and the northern (NSacs) and southern Sacramento Mountains (SSacs; both sampled in 2014). We collected hair samples from black bears using two concurrent non-invasive sampling methods, hair traps and bear rubs. We used a gender marker and a suite of microsatellite loci to determine the individual identification of hair samples that were suitable for genetic analysis. We used these data to generate mark-recapture encounter histories for each bear and estimated density in a spatially explicit capture-recapture framework (SECR). We constructed a suite of SECR candidate models using sex, elevation, land cover type, and time to model heterogeneity in detection probability and the spatial scale over which detection probability declines. We used Akaike’s Information Criterion corrected for small sample size (AICc) to rank and select the most supported model from which we estimated density.</p><p>We set 554 hair traps, 117 bear rubs and collected 4,083 hair samples. We identified 725 (367 M, 358 F) individuals; the sex ratio for each study area was approximately equal. Our density estimates varied within and among mountain ranges with an estimated density of 21.86 bears/100 km2 (95% CI: 17.83 – 26.80) for the NSC, 19.74 bears/100 km2 (95% CI: 13.77 – 28.30) in the SSC, 25.75 bears/100 km2 (95% CI: 13.22 – 50.14) in the Sandias, 21.86 bears/100 km2 (95% CI: 17.83 – 26.80) in the NSacs, and 16.55 bears/100 km2 (95% CI: 11.64 – 23.53) in the SSacs. Overall detection probability for hair traps and bear rubs, combined, was low across all study areas and ranged from 0.00001 to 0.02. We speculate that detection probabilities were affected by failure of some hair samples to produce a complete genotype due to UV degradation of DNA, and our inability to set and check some sampling devices due to wildfires in the SSC. Ultraviolet radiation levels are particularly high in New Mexico compared to other states where NGS methods have been used because New Mexico receives substantial amounts of sunshine, is relatively high in elevation (1,200 m – 4,000 m), and is at a lower latitude. Despite these sampling difficulties, we were able to produce density estimates for New Mexico black bear populations with levels of precision comparable to estimated black bear densities made elsewhere in the U.S.</p><p>Our ability to generate reliable black bear density estimates for 3 New Mexico mountain ranges is attributable to our use of a statistically robust study design and analytical method. There are multiple factors that need to be considered when developing future SECR-based density estimation projects. First, the spatial extent of the population of interest and the smallest average home range size must be determined; these will dictate size of the trapping array and spacing necessary between hair traps. The number of technicians needed and access to the study areas will also influence configuration of the trapping array. We believe shorter sampling occasions could be implemented to reduce degradation of DNA due to UV radiation; this might help increase amplification rates and thereby increase both the number of unique individuals identified and the number of recaptures, improving the precision of the density estimates. A pilot study may be useful to determine the length of time hair samples can remain in the field prior to collection. In addition, researchers may consider setting hair traps and bear rubs in more shaded areas (e.g., north facing slopes) to help reduce exposure to UV radiation. To reduce the sampling interval it will be necessary to either hire more field personnel or decrease the number of hair traps per sampling session. Both of these will enhance detection of long-range movement events by individual bears, increase initial capture and recapture rates, and improve precision of the parameter estimates. We recognize that all studies are constrained by limited resources, however, increasing field personnel would also allow a larger study area to be sampled or enable higher trap density.</p><p>In conclusion, we estimated the density of black bears in 5 study areas within 3 mountains ranges of New Mexico. Our estimates will aid the NMDGF in setting sustainable harvest limits. Along with estimates of density, information on additional demographic rates (e.g., survival rates and reproduction) and the potential effects that climate change and future land use may have on the demography of black bears may also help inform management of black bears in New Mexico, and may be considered as future areas for research.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Gould, M.J., Cain, J.W., Roemer, G.W., and Gould, W., 2016, Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods: Cooperator Science Series FWS/CSS-120-2016, ii, 41 p.","productDescription":"ii, 41 p.","numberOfPages":"43","ipdsId":"IP-074771","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350701,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2132"}],"country":"United States","state":"New Mexico","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c96e4b06e28e9cabb0a","contributors":{"authors":[{"text":"Gould, Matthew J.","contributorId":201504,"corporation":false,"usgs":false,"family":"Gould","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roemer, Gary W.","contributorId":95355,"corporation":false,"usgs":true,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":725972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191935,"text":"70191935 - 2016 - San Pedro River Aquifer Binational Report","interactions":[],"lastModifiedDate":"2023-12-20T21:24:11.302348","indexId":"70191935","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"San Pedro River Aquifer Binational Report","docAbstract":"<p>The United States and Mexico share waters in a number of hydrological basins and aquifers that cross the international boundary. Both countries recognize that, in a region of scarce water resources and expanding populations, a greater scientific understanding of these aquifer systems would be beneficial. In light of this, the Mexican and U.S. Principal Engineers of the International Boundary and Water Commission (IBWC) signed the “Joint Report of the Principal Engineers Regarding the Joint Cooperative Process United States-Mexico for the Transboundary Aquifer Assessment Program\" on August 19, 2009 (IBWC-CILA, 2009). This IBWC “Joint Report” serves as the framework for U.S.-Mexico coordination and dialogue to implement transboundary aquifer studies. The document clarifies several details about the program such as background, roles, responsibilities, funding, relevance of the international water treaties, and the use of information collected or compiled as part of the program. In the document, it was agreed by the parties involved, which included the IBWC, the Mexican National Water Commission (CONAGUA), the U.S. Geological Survey (USGS), and the Universities of Arizona and Sonora, to study two priority binational aquifers, one in the San Pedro River basin and the other in the Santa Cruz River basin. </p><p>This report focuses on the Binational San Pedro Basin (BSPB). Reasons for the focus on and interest in this aquifer include the fact that it is shared by the two countries, that the San Pedro River has an elevated ecological value because of the riparian ecosystem that it sustains, and that water resources are needed to sustain the river, existing communities, and continued development. This study describes the aquifer’s characteristics in its binational context; however, most of the scientific work has been undertaken for many years by each country without full knowledge of the conditions on the other side of the border. The general objective of this study is to use new and existing research to define the general hydrologic framework of the Binational San Pedro Aquifer (BSPA), to gather hydrogeological and other relevant data in preparation for future work such as an updated groundwater conceptual model and budget and to establish the basis for a binational numerical model. </p><p>The specific objectives are as follows:</p><p><ul><li>Understand the current state of knowledge with respect to climate, geology, soils, land cover, land use, and hydrology of the aquifer in its binational context;<br></li><li>Compile and create a database of scientific information from both countries;<br></li><li>Identify data gaps and identify what data would be necessary to update, in a subsequent phase, the hydrologic model of the aquifer system, including surface- and groundwater interactions on a binational level.<br></li></ul><p>The BSPB is one of the most studied basins in the region, and a database of publications has been compiled as part of this project. Previous studies include topics that range from geophysics and hydrogeology to biology and ecosystem services. The economic drivers on each side of the border are quite different. In the Arizona 4 portion of the basin military and tourism dominate while in the Sonoran portion, mining is the most important industry. Water management is also different in the two countries. In Mexico, primary authority for management of water resources devolves from the federal government. In the United States, primary authority rests with the states except in cases of interstate surface waters. Binational waters are not currently jointly managed by the two countries except in cases where treaties have been negotiated such as for the Rio Grande and Colorado Rivers. Thus, there is currently no binational coordination or treaty governing the management of groundwater. </p><p><br data-mce-bogus=\"1\"></p></p><p><br data-mce-bogus=\"1\"></p>","language":"English, Spanish","publisher":"International Boundary and Water Commission","usgsCitation":"Callegary, J.B., Minjarez Sosa, I., Tapia Villasenor, E.M., dos Santos, P., Monreal Saavedra, R., Grijalva Noriega, F., Huth, A.K., Gray, F., Scott, C.A., Megdal, S., Oroz Ramos, L.A., Rangel Medina, M., and Leenhouts, J.M., 2016, San Pedro River Aquifer Binational Report, 164 p.","productDescription":"164 p.","ipdsId":"IP-040472","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":350974,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346934,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.ibwc.gov/wp-content/uploads/2023/06/San_Pedro_Binational_Report_En_01122017.pdf","text":"Report (English)"},{"id":356921,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.ibwc.gov/wp-content/uploads/2023/06/San_Pedro_Binational_Report_ESP_Final_2016.pdf","text":"Report (Spanish)"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586dce4b00f54eb1d8206","contributors":{"authors":[{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minjarez Sosa, Ismael","contributorId":197571,"corporation":false,"usgs":false,"family":"Minjarez Sosa","given":"Ismael","email":"","affiliations":[],"preferred":false,"id":713753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tapia Villasenor, Elia Maria","contributorId":197572,"corporation":false,"usgs":false,"family":"Tapia Villasenor","given":"Elia","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":713754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"dos Santos, Placido","contributorId":197573,"corporation":false,"usgs":false,"family":"dos Santos","given":"Placido","email":"","affiliations":[],"preferred":false,"id":713755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monreal Saavedra, Rogelio","contributorId":197574,"corporation":false,"usgs":false,"family":"Monreal Saavedra","given":"Rogelio","email":"","affiliations":[],"preferred":false,"id":713756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grijalva Noriega, Franciso Javier","contributorId":197575,"corporation":false,"usgs":false,"family":"Grijalva Noriega","given":"Franciso Javier","affiliations":[],"preferred":false,"id":713757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huth, A. K.","contributorId":201613,"corporation":false,"usgs":false,"family":"Huth","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":726574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713758,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scott, C. A.","contributorId":201614,"corporation":false,"usgs":false,"family":"Scott","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713759,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Megdal, Sharon","contributorId":197577,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","affiliations":[],"preferred":false,"id":713760,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oroz Ramos, L. A.","contributorId":201615,"corporation":false,"usgs":false,"family":"Oroz Ramos","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":726575,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rangel Medina, Miguel","contributorId":197578,"corporation":false,"usgs":false,"family":"Rangel Medina","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":713762,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Leenhouts, James M. 0000-0001-5171-9240 leenhout@usgs.gov","orcid":"https://orcid.org/0000-0001-5171-9240","contributorId":225,"corporation":false,"usgs":true,"family":"Leenhouts","given":"James","email":"leenhout@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713761,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70191894,"text":"70191894 - 2016 - Biological and communication skills needed for introduced fish biologists","interactions":[],"lastModifiedDate":"2018-02-28T14:36:03","indexId":"70191894","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Biological and communication skills needed for introduced fish biologists","docAbstract":"<p><span>What skills and knowledge will a new graduate seeking employment need to work with introduced fishes? Clearly, success in introduced species management—similar to other disciplines in fisheries—requires a mixture of scientific and communication skills. However, specific abilities especially important to a biologist who manages introduced fishes should be highlighted. Unlike most other management strategies, stocking an introduced species can result in unintended and irreversible impacts, so particular care must be employed when stocking is considered. Furthermore, fish populations in areas outside of the introduced species management area might also be affected, usually negatively, if the introduced fish escapes. Therefore, rock-solid knowledge of basic aquatic ecology, including risk management; fish taxonomy (so the wrong fish species is not mistakenly stocked!); familiarity with human values of both the time and the place (which requires communication skills); and a strong understanding of human history are all important.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1199223","usgsCitation":"Bonar, S.A., 2016, Biological and communication skills needed for introduced fish biologists: Fisheries, v. 41, no. 8, p. 466-467, https://doi.org/10.1080/03632415.2016.1199223.","productDescription":"2 p.","startPage":"466","endPage":"467","ipdsId":"IP-076260","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-02","publicationStatus":"PW","scienceBaseUri":"59f1a2a8e4b0220bbd9d9f88","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713552,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191661,"text":"70191661 - 2016 - Deathcore, creativity, and scientific thinking","interactions":[],"lastModifiedDate":"2017-10-17T16:06:52","indexId":"70191661","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5515,"text":"Research Ideas and Outcomes","active":true,"publicationSubtype":{"id":10}},"title":"Deathcore, creativity, and scientific thinking","docAbstract":"<div class=\"P-Article-Preview-Block\"><p id=\"background\" class=\"unselectable\"><strong>Background</strong></p><div class=\"P-Article-Preview-Block-Content\"><p>Major scientific breakthroughs are generally the result of materializing creative ideas, the result of an inductive process that sometimes spontaneously and unexpectedly generates a link between thoughts and/or objects that did not exist before. Creativity is the cornerstone of scientific thinking, but scientists in academia are judged by metrics of quantification that often leave little room for creative thinking. In many scientific fields, reductionist approaches are rewarded and new ideas viewed skeptically. As a result, scientific inquiry is often confined to narrow but safe disciplinary ivory towers, effectively preventing profoundly creative explorations that could yield unexpected benefits.</p></div></div><div class=\"P-Article-Preview-Block\"><p id=\"new_information\" class=\"unselectable\"><strong>New information</strong></p><div class=\"P-Article-Preview-Block-Content\"><p>This paper argues how apparently unrelated fields specifically music and belief systems can be combined in a provocative allegory to provide novel perspectives regarding patterns in nature, thereby potentially inspiring innovation in the natural, social and other sciences. The merger between basic human tensions such as those embodied by religion and music, for example the heavy metal genre of deathcore, may be perceived as controversial, challenging, and uncomfortable. However, it is an example of moving the thinking process out of unconsciously established comfort zones, through the connection of apparently unrelated entities. We argue that music, as an auditory art form, has the potential to enlighten and boost creative thinking in science. Metal, as a fast evolving and diversifying extreme form of musical art, may be particularly suitable to trigger surprising associations in scientific inquiry. This may pave the way for dealing with questions about what we don´t know that we don´t know in a fast-changing planet.</p></div></div>","language":"English","publisher":"RIO","doi":"10.3897/rio.2.e8867","usgsCitation":"Angeler, D., Sundstrom, S.M., and Allen, C.R., 2016, Deathcore, creativity, and scientific thinking: Research Ideas and Outcomes, v. 2, p. 1-6, https://doi.org/10.3897/rio.2.e8867.","productDescription":"e8867; 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-075212","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471392,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/rio.2.e8867","text":"Publisher Index Page"},{"id":346741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-15","publicationStatus":"PW","scienceBaseUri":"59e71693e4b05fe04cd331bb","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":713008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sundstrom, Shana M.","contributorId":7159,"corporation":false,"usgs":true,"family":"Sundstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712977,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188442,"text":"70188442 - 2016 - Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand","interactions":[],"lastModifiedDate":"2018-03-26T13:43:31","indexId":"70188442","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5419,"text":"Annals of the American Association of Geographers","active":true,"publicationSubtype":{"id":10}},"title":"Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand","docAbstract":"<p><span>Soils on many of the outwash plains in southwestern Michigan have loamy upper profiles, despite being underlain by sand-textured outwash. The origin of this upper, loamy material has long been unknown. The purpose of this study is to analyze the spatio-textural characteristics of these loamy-textured sediments to ascertain their origin(s). The textural curves of this material have distinct bimodality, with clear silt and sand peaks. Because the sand peaks align with those in the outwash below, we conclude that the upper material is a mixture of an initially silty material with the sand from below, forming loamy textures. By applying a textural filtering operation to the data, we determined its original characteristics; nearly all of the soils originally had silt loam upper profiles, typical for loess. Field data showed that the loamy material is thickest east of a broad, north–south trending valley (the Niles-Thornapple Spillway) that once carried glacial meltwater. The material becomes thinner, generally better sorted, and finer in texture eastward, away from this channel. We conclude that the loamy mantle on many of the adjacent outwash plains is silt-rich loess, derived from the Niles-Thornapple Spillway and its tributary channels and transported on mainly westerly winds. The spillway was active between ca. 17.3 and 16.8 k cal. years ago. At this time, a large network of tunnel channels existed beneath the stagnant Saginaw lobe ice. Meltwater from the lobe funneled silt-rich sediment into the spillway, rendering it a prodigious silt source.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00045608.2015.1115388","usgsCitation":"Luehmann, M.D., Peter, B.G., Connallon, C.B., Schaetzl, R.J., Smidt, S.J., Liu, W., Kincare, K.A., Walkowiak, T.A., Thorlund, E., and Holler, M.S., 2016, Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand: Annals of the American Association of Geographers, v. 106, no. 3, p. 551-572, https://doi.org/10.1080/00045608.2015.1115388.","productDescription":"22 p.","startPage":"551","endPage":"572","ipdsId":"IP-062646","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.85791015625,\n              41.76721469421018\n            ],\n            [\n              -84.52880859375,\n              41.76721469421018\n            ],\n            [\n              -84.52880859375,\n              42.767178634023345\n            ],\n            [\n              -86.85791015625,\n              42.767178634023345\n            ],\n            [\n              -86.85791015625,\n              41.76721469421018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-29","publicationStatus":"PW","scienceBaseUri":"593bb3a5e4b0764e6c60e7c9","contributors":{"authors":[{"text":"Luehmann, Michael D.","contributorId":192812,"corporation":false,"usgs":false,"family":"Luehmann","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peter, Brad G.","contributorId":192813,"corporation":false,"usgs":false,"family":"Peter","given":"Brad","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":697774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connallon, Christopher B.","contributorId":192814,"corporation":false,"usgs":false,"family":"Connallon","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":697775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaetzl, Randall J.","contributorId":192815,"corporation":false,"usgs":false,"family":"Schaetzl","given":"Randall","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":697777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Wei","contributorId":192817,"corporation":false,"usgs":false,"family":"Liu","given":"Wei","email":"","affiliations":[],"preferred":false,"id":697778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walkowiak, Toni A.","contributorId":192818,"corporation":false,"usgs":false,"family":"Walkowiak","given":"Toni","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorlund, Elin","contributorId":192819,"corporation":false,"usgs":false,"family":"Thorlund","given":"Elin","email":"","affiliations":[],"preferred":false,"id":697780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holler, Marie S.","contributorId":192820,"corporation":false,"usgs":false,"family":"Holler","given":"Marie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697781,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70162557,"text":"70162557 - 2016 - Improved geomagnetic referencing in the Arctic environment","interactions":[],"lastModifiedDate":"2020-07-13T14:45:53.629471","indexId":"70162557","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improved geomagnetic referencing in the Arctic environment","docAbstract":"<p>Geomagnetic referencing uses the Earth&rsquo;s magnetic field to determine accurate wellbore positioning essential for success in today's complex drilling programs, either as an alternative or a complement to north-seeking gyroscopic referencing. However, fluctuations in the geomagnetic field, especially at high latitudes, make the application of geomagnetic referencing in those areas more challenging. Precise crustal mapping and the monitoring of real-time variations by nearby magnetic observatories is crucial to achieving the required geomagnetic referencing accuracy. The Deadhorse Magnetic Observatory (DED), located at Prudhoe Bay, Alaska, has already played a vital role in the success of several commercial ventures in the area, providing essential, accurate, real-time data to the oilfield drilling industry. Geomagnetic referencing is enhanced with real-time data from DED and other observatories, and has been successfully used for accurate wellbore positioning. The availability of real-time geomagnetic measurements leads to significant cost and time savings in wellbore surveying, improving accuracy and alleviating the need for more expensive surveying techniques. The correct implementation of geomagnetic referencing is particularly critical as we approach the increased activity associated with the upcoming maximum of the 11-year solar cycle. The DED observatory further provides an important service to scientific communities engaged in studies of ionospheric, magnetospheric and space weather phenomena.</p>","conferenceTitle":"SPE Arctic and Extreme Environments Technical Conference and Exhibition","conferenceDate":"October 15, 2015","conferenceLocation":"Moscow, Russia","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.2118/166850-MS","usgsCitation":"Poedjono, B., Beck, N., Buchanan, A.C., Borri, L., Maus, S., Finn, C., Worthington, E.W., and White, T., 2016, Improved geomagnetic referencing in the Arctic environment, SPE Arctic and Extreme Environments Technical Conference and Exhibition, Moscow, Russia, October 15, 2015, 21 p., https://doi.org/10.2118/166850-MS.","productDescription":"21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049377","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-15","publicationStatus":"PW","scienceBaseUri":"56a9f847e4b012c193aa3ed0","contributors":{"authors":[{"text":"Poedjono, B.","contributorId":56465,"corporation":false,"usgs":true,"family":"Poedjono","given":"B.","affiliations":[],"preferred":false,"id":589850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, N.","contributorId":18995,"corporation":false,"usgs":true,"family":"Beck","given":"N.","email":"","affiliations":[],"preferred":false,"id":589849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchanan, A. C.","contributorId":11027,"corporation":false,"usgs":true,"family":"Buchanan","given":"A.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":589848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borri, L.","contributorId":152590,"corporation":false,"usgs":false,"family":"Borri","given":"L.","email":"","affiliations":[{"id":18940,"text":"SPE, Eni Petroleum Co.","active":true,"usgs":false}],"preferred":false,"id":589847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maus, S.","contributorId":104315,"corporation":false,"usgs":true,"family":"Maus","given":"S.","email":"","affiliations":[],"preferred":false,"id":589846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finn, Carol 0000-0003-3144-1645","orcid":"https://orcid.org/0000-0003-3144-1645","contributorId":13201,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","affiliations":[],"preferred":false,"id":589845,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Worthington, E. William 0000-0002-5879-0477 bworth@usgs.gov","orcid":"https://orcid.org/0000-0002-5879-0477","contributorId":2570,"corporation":false,"usgs":true,"family":"Worthington","given":"E.","email":"bworth@usgs.gov","middleInitial":"William","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":589843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"White, Tim 0000-0002-3563-0649 ttwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-0649","contributorId":2010,"corporation":false,"usgs":true,"family":"White","given":"Tim","email":"ttwhite@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589844,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179257,"text":"70179257 - 2016 - Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater","interactions":[],"lastModifiedDate":"2018-03-30T12:48:29","indexId":"70179257","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater","docAbstract":"<p><span>Removal of carbon through the precipitation and burial of calcium carbonate in marine sediments constitutes over 70% of the total carbon on Earth and is partitioned between coastal and pelagic zones. The precipitation of authigenic calcium carbonate in seawater, however, has been hotly debated because despite being in a supersaturated state, there is an absence of persistent precipitation. One of the explanations for this paradox is the geochemical conditions in seawater cannot overcome the activation energy barrier for the first step in any precipitation reaction; nucleation. Here we show that virally induced rupturing of photosynthetic cyanobacterial cells releases cytoplasmic-associated bicarbonate at concentrations ~23-fold greater than in the surrounding seawater, thereby shifting the carbonate chemistry toward the homogenous nucleation of one or more of the calcium carbonate polymorphs. Using geochemical reaction energetics, we show the saturation states (Ω) in typical seawater for calcite (Ω = 4.3), aragonite (Ω = 3.1), and vaterite (Ω = 1.2) are significantly elevated following the release and diffusion of the cytoplasmic bicarbonate (Ω</span><sub>calcite</sub><span><span>&nbsp;</span>= 95.7; Ω</span><sub>aragonite</sub><span><span>&nbsp;</span>= 68.5; Ω</span><sub>vaterite</sub><span><span>&nbsp;</span>= 25.9). These increases in Ω significantly reduce the activation energy for nuclei formation thresholds for all three polymorphs, but only vaterite nucleation is energetically favored. In the post-lysis seawater, vaterite's nuclei formation activation energy is significantly reduced from 1.85 × 10</span><sup>−17</sup><span><span>&nbsp;</span>J to 3.85 × 10</span><sup>−20</sup><span><span>&nbsp;</span>J, which increases the nuclei formation rate from highly improbable (&lt;&lt;1.0 nuclei cm</span><sup>−3</sup><span><span>&nbsp;</span>s</span><sup>−1</sup><span>) to instantaneous (8.60 × 10</span><sup>25</sup><span><span>&nbsp;</span>nuclei cm</span><sup>−3</sup><span><span>&nbsp;</span>s</span><sup>−1</sup><span>). The proposed model for homogenous nucleation of calcium carbonate in seawater describes a mechanism through which the initial step in the production of carbonate sediments may proceed. It also presents an additional role of photosynthesizing microbes and their viruses in marine carbon cycles and reveals these microorganisms are a collective repository for concentrated and reactive dissolved inorganic carbon (DIC) that is currently not accounted for in global carbon budgets and carbonate sediment diagenesis models.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmicb.2016.01958","usgsCitation":"Lisle, J.T., and Robbins, L.L., 2016, Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater: Frontiers in Microbiology, v. 7, Article 1958; 7 p., https://doi.org/10.3389/fmicb.2016.01958.","productDescription":"Article 1958; 7 p.","ipdsId":"IP-061591","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2016.01958","text":"Publisher Index Page"},{"id":352777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5afeea5ae4b0da30c1bfc605","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656557,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160493,"text":"70160493 - 2016 - Integrated groundwater data management","interactions":[],"lastModifiedDate":"2017-04-17T14:45:30","indexId":"70160493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integrated groundwater data management","docAbstract":"<p><span>The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss cross-jurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-23576-9_26","isbn":"978-3-319-23575-2","usgsCitation":"Fitch, P., Brodaric, B., Stenson, M., and Booth, N., 2016, Integrated groundwater data management, chap. <i>of</i> Integrated groundwater management, p. 667-692, https://doi.org/10.1007/978-3-319-23576-9_26.","productDescription":"26 p.","startPage":"667","endPage":"692","ipdsId":"IP-057014","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":488592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_26","text":"Publisher Index Page"},{"id":339814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d440e4b0f2e20545e413","contributors":{"editors":[{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":691268,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":691269,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":691270,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rinaudo, Jean-Daniel","contributorId":173850,"corporation":false,"usgs":false,"family":"Rinaudo","given":"Jean-Daniel","email":"","affiliations":[{"id":27302,"text":"BRGM (France)","active":true,"usgs":false}],"preferred":false,"id":691271,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Ross, Andrew","contributorId":173851,"corporation":false,"usgs":false,"family":"Ross","given":"Andrew","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":691272,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Fitch, Peter","contributorId":150765,"corporation":false,"usgs":false,"family":"Fitch","given":"Peter","email":"","affiliations":[{"id":18100,"text":"Commonwealth Scientific Research Organisation","active":true,"usgs":false}],"preferred":false,"id":583002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodaric, Boyan","contributorId":80341,"corporation":false,"usgs":true,"family":"Brodaric","given":"Boyan","affiliations":[],"preferred":false,"id":583003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenson, Matt","contributorId":150766,"corporation":false,"usgs":false,"family":"Stenson","given":"Matt","email":"","affiliations":[{"id":18100,"text":"Commonwealth Scientific Research Organisation","active":true,"usgs":false}],"preferred":false,"id":583004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Nathaniel 0000-0001-6040-1031 nlbooth@usgs.gov","orcid":"https://orcid.org/0000-0001-6040-1031","contributorId":140641,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel","email":"nlbooth@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":583001,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192001,"text":"70192001 - 2016 - Drivers of Caribbean freshwater ecosystems and fisheries","interactions":[],"lastModifiedDate":"2018-01-25T16:31:07","indexId":"70192001","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Drivers of Caribbean freshwater ecosystems and fisheries","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Freshwater, fish and the future: Proceedings of the Global Cross-Sectoral Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","isbn":"978-92-5-109263-7","usgsCitation":"Kwak, T.J., Engman, A.C., Fischer, J., and Lilyestrom, C.G., 2016, Drivers of Caribbean freshwater ecosystems and fisheries, chap. <i>of</i> Freshwater, fish and the future: Proceedings of the Global Cross-Sectoral Conference, p. 219-232.","productDescription":"14 p.","startPage":"219","endPage":"232","ipdsId":"IP-062409","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350629,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55076p/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac6e4b06e28e9c9a906","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":725834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, Jesse R.","contributorId":86618,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse R.","affiliations":[],"preferred":false,"id":725835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilyestrom, Craig G.","contributorId":54821,"corporation":false,"usgs":true,"family":"Lilyestrom","given":"Craig","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":725836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157527,"text":"70157527 - 2016 - Natural soil reservoirs for human pathogenic and fecal indicator bacteria","interactions":[],"lastModifiedDate":"2016-09-06T14:36:49","indexId":"70157527","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Natural soil reservoirs for human pathogenic and fecal indicator bacteria","docAbstract":"Soils receive inputs of human pathogenic and indicator bacteria through land application of animal manures or sewage sludge, and inputs by wildlife. Soil is an extremely heterogeneous substrate and contains meso- and macrofauna that may be reservoirs for bacteria of human health concern. The ability to detect and quantify bacteria of human health concern is important in risk assessments and in evaluating the efficacy of agricultural soil management practices that are protective of crop quality and protective of adjacent water resources. The present chapter describes the distribution of selected Gram-positive and Gram-negative bacteria in soils. Methods for detecting and quantifying soilborne bacteria including extraction, enrichment using immunomagnetic capture, culturing, molecular detection and deep sequencing of metagenomic DNA to detect pathogens are overviewed. Methods for strain phenotypic and genotypic characterization are presented, as well as how comparison with clinical isolates can inform the potential for human health risk.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Manual of environmental microbiology","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/9781555818821.ch3.3.2","usgsCitation":"Boschiroli, M.L., Falkinham, J., Favre-Bonte, S., Nazaret, S., Piveteau, P., Sadowsky, M.J., Byappanahalli, M., Delaquis, P., and Hartmann, A., 2016, Natural soil reservoirs for human pathogenic and fecal indicator bacteria, chap. <i>of</i> Manual of environmental microbiology, p. 3.3.2-1-3.3.2-12, https://doi.org/10.1128/9781555818821.ch3.3.2.","productDescription":"13 p. ","startPage":"3.3.2-1","endPage":"3.3.2-12","ipdsId":"IP-056487","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":328271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308590,"type":{"id":15,"text":"Index Page"},"url":"https://www.asmscience.org/content/book/10.1128/9781555818821.ch3.3.2"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"57cfe8bae4b04836416a0df1","contributors":{"authors":[{"text":"Boschiroli, Maria L","contributorId":147956,"corporation":false,"usgs":false,"family":"Boschiroli","given":"Maria","email":"","middleInitial":"L","affiliations":[{"id":16967,"text":"ANSES French Agency for Food, Environmental & Occupational Health Safety, Maisons-Alfort Animal Health Laboratory, Bacterial Zoonoses Unit, Maisons-Alfort Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falkinham, Joseph","contributorId":147957,"corporation":false,"usgs":false,"family":"Falkinham","given":"Joseph","email":"","affiliations":[{"id":16968,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":573457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Favre-Bonte, Sabine","contributorId":147958,"corporation":false,"usgs":false,"family":"Favre-Bonte","given":"Sabine","email":"","affiliations":[{"id":16969,"text":"Microbial Ecology Laboratory, CNRS/University Lyon I, Villeurbanne Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nazaret, Sylvie","contributorId":147959,"corporation":false,"usgs":false,"family":"Nazaret","given":"Sylvie","email":"","affiliations":[{"id":16969,"text":"Microbial Ecology Laboratory, CNRS/University Lyon I, Villeurbanne Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piveteau, Pascal","contributorId":147960,"corporation":false,"usgs":false,"family":"Piveteau","given":"Pascal","email":"","affiliations":[{"id":16970,"text":"Agroecology Unit, INRA/University of Burgundy/AgroSup Dijon, Dijon Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":573462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":573455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delaquis, Pascal","contributorId":147962,"corporation":false,"usgs":false,"family":"Delaquis","given":"Pascal","email":"","affiliations":[{"id":16967,"text":"ANSES French Agency for Food, Environmental & Occupational Health Safety, Maisons-Alfort Animal Health Laboratory, Bacterial Zoonoses Unit, Maisons-Alfort Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hartmann, Alain","contributorId":147961,"corporation":false,"usgs":false,"family":"Hartmann","given":"Alain","email":"","affiliations":[{"id":16970,"text":"Agroecology Unit, INRA/University of Burgundy/AgroSup Dijon, Dijon Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573461,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187144,"text":"70187144 - 2016 - Modelling with stakeholders - Next generation","interactions":[],"lastModifiedDate":"2017-04-25T11:02:04","indexId":"70187144","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Modelling with stakeholders - Next generation","docAbstract":"<p><span>This paper updates and builds on ‘Modelling with Stakeholders’ Voinov and Bousquet, 2010 which demonstrated the importance of, and demand for, stakeholder participation in resource and environmental modelling. This position paper returns to the concepts of that publication and reviews the progress made since 2010. A new development is the wide introduction and acceptance of social media and web applications, which dramatically changes the context and scale of stakeholder interactions and participation. Technology advances make it easier to incorporate information in interactive formats via visualization and games to augment participatory experiences. Citizens as stakeholders are increasingly demanding to be engaged in planning decisions that affect them and their communities, at scales from local to global. How people interact with and access models and data is rapidly evolving. In turn, this requires changes in how models are built, packaged, and disseminated: citizens are less in awe of experts and external authorities, and they are increasingly aware of their own capabilities to provide inputs to planning processes, including models. The continued acceleration of environmental degradation and natural resource depletion accompanies these societal changes, even as there is a growing acceptance of the need to transition to alternative, possibly very different, life styles. Substantive transitions cannot occur without significant changes in human behaviour and perceptions. The important and diverse roles that models can play in guiding human behaviour, and in disseminating and increasing societal knowledge, are a feature of stakeholder processes today.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.11.016","usgsCitation":"Voinov, A., Kolagani, N., McCall, M.K., Glynn, P.D., Kragt, M.E., Ostermann, F.O., Pierce, S.A., and Ramu, P., 2016, Modelling with stakeholders - Next generation: Environmental Modelling and Software, v. 77, p. 196-220, https://doi.org/10.1016/j.envsoft.2015.11.016.","productDescription":"25 p.","startPage":"196","endPage":"220","ipdsId":"IP-070044","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":471361,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.envsoft.2015.11.016","text":"External Repository"},{"id":340246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5dddb","contributors":{"authors":[{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":692736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolagani, Nagesh","contributorId":191331,"corporation":false,"usgs":false,"family":"Kolagani","given":"Nagesh","email":"","affiliations":[],"preferred":false,"id":692737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCall, Michael K","contributorId":191332,"corporation":false,"usgs":false,"family":"McCall","given":"Michael","email":"","middleInitial":"K","affiliations":[],"preferred":false,"id":692738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kragt, Marit E","contributorId":191333,"corporation":false,"usgs":false,"family":"Kragt","given":"Marit","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":692739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ostermann, Frank O","contributorId":191334,"corporation":false,"usgs":false,"family":"Ostermann","given":"Frank","email":"","middleInitial":"O","affiliations":[],"preferred":false,"id":692740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pierce, Suzanne A","contributorId":191335,"corporation":false,"usgs":false,"family":"Pierce","given":"Suzanne","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":692741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramu, Palaniappan","contributorId":191336,"corporation":false,"usgs":false,"family":"Ramu","given":"Palaniappan","email":"","affiliations":[],"preferred":false,"id":692742,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178030,"text":"70178030 - 2016 - Physiological basis of climate change impacts on North American inland fishes","interactions":[],"lastModifiedDate":"2018-02-28T14:29:57","indexId":"70178030","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Physiological basis of climate change impacts on North American inland fishes","docAbstract":"<p><span>Global climate change is altering freshwater ecosystems and affecting fish populations and communities. Underpinning changes in fish distribution and assemblage-level responses to climate change are individual-level physiological constraints. In this review, we synthesize the mechanistic effects of climate change on neuroendocrine, cardiorespiratory, immune, osmoregulatory, and reproductive systems of freshwater and diadromous fishes. Observed climate change effects on physiological systems are varied and numerous, including exceedance of critical thermal tolerances, decreased cardiorespiratory performance, compromised immune function, and altered patterns of individual reproductive investment. However, effects vary widely among and within species because of species, population, and even sex-specific differences in sensitivity and resilience and because of habitat-specific variation in the magnitude of climate-related environmental change. Research on the interactive effects of climate change with other environmental stressors across a broader range of fish diversity is needed to further our understanding of climate change effects on fish physiology.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1186656","usgsCitation":"Whitney, J.E., Al-Chokhachy, R.K., Bunnell, D., Caldwell, C.A., Cooke, S., Eliason, E.J., Rogers, M.W., Lynch, A.J., and Paukert, C.P., 2016, Physiological basis of climate change impacts on North American inland fishes: Fisheries, v. 41, no. 7, p. 332-345, https://doi.org/10.1080/03632415.2016.1186656.","productDescription":"14 p.","startPage":"332","endPage":"345","ipdsId":"IP-069906","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":352147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"5819a9c3e4b0bb36a4c91023","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":652658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":652659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":652660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":652661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eliason, Erika J.","contributorId":176524,"corporation":false,"usgs":false,"family":"Eliason","given":"Erika","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652663,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":652664,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652559,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70178774,"text":"70178774 - 2016 - Ore mineralogy and textural zonation in the world-class epithermal Waihi Vein System, Hauraki Goldfield","interactions":[],"lastModifiedDate":"2017-03-16T14:32:53","indexId":"70178774","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ore mineralogy and textural zonation in the world-class epithermal Waihi Vein System, Hauraki Goldfield","docAbstract":"The Waihi district in the Hauraki Goldfield of New Zealand contains adularia-sericite epithermal gold-silver veins that have produced more than 7.7 Moz gold. The outermost veins of the district (Martha, Favona, Moonlight, and Cowshed) contain abundant colloform, cherty, and black quartz fill textures, with minor crustiform and massive quartz. The central veins (Amaranth, Trio, and Union) contain predominantly massive and crustiform textures, and these veins are also commonly coarser grained than outermost veins. Pyrite, sphalerite, galena, chalcopyrite, electrum, and acanthite occur in both outermost and central veins; base metal sulfide minerals typically increase in abundance in deeper samples. Antimony-, arsenic-, and selenium-bearing minerals are most abundant in the Favona and Moonlight veins, whereas base metal sulfide minerals are more abundant in the central veins at Correnso. Throughout the Waihi vein system, electrum is by far the most widespread, abundant, and significant gold-bearing mineral, but LA-ICP-MS analyses show that arsenian pyrite also contains some gold. Mineralogical and textural data are consistent with the central veins forming at a deeper structural level, or from hydrothermal fluids with different chemistry, or both.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"AusIMM Monograph 31: Mineral deposits of New Zealand—Exploration and research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"The Australasian Institute of Mining and Metallurgy","usgsCitation":"Mauk, J.L., Skinner, E.G., Fyfe, S.J., Menzies, A.H., Lowers, H., and Koenig, A.E., 2016, Ore mineralogy and textural zonation in the world-class epithermal Waihi Vein System, Hauraki Goldfield, chap. <i>of</i> AusIMM Monograph 31: Mineral deposits of New Zealand—Exploration and research, p. 293-301.","productDescription":"9 p. ","startPage":"293","endPage":"301","ipdsId":"IP-074880","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ce4b0849ce97dc750","contributors":{"authors":[{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, Erin G","contributorId":177234,"corporation":false,"usgs":false,"family":"Skinner","given":"Erin","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":655104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fyfe, Sarah J","contributorId":131115,"corporation":false,"usgs":false,"family":"Fyfe","given":"Sarah","email":"","middleInitial":"J","affiliations":[{"id":7251,"text":"Geology Department, The University of Auckland, Private Bag 92019, Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":655105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menzies, Andrew H","contributorId":177235,"corporation":false,"usgs":false,"family":"Menzies","given":"Andrew","email":"","middleInitial":"H","affiliations":[],"preferred":false,"id":655106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. hlowers@usgs.gov","contributorId":149265,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather A.","email":"hlowers@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":655107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176638,"text":"70176638 - 2016 - Seismic velocities within the sedimentary succession of the Canada Basin and southern Alpha-Mendeleev Ridge, Arctic Ocean: evidence for accelerated porosity reduction?","interactions":[],"lastModifiedDate":"2016-09-23T16:00:51","indexId":"70176638","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Seismic velocities within the sedimentary succession of the Canada Basin and southern Alpha-Mendeleev Ridge, Arctic Ocean: evidence for accelerated porosity reduction?","docAbstract":"<p><span>The Canada Basin and the southern Alpha-Mendeleev ridge complex underlie a significant proportion of the Arctic Ocean, but the geology of this undrilled and mostly ice-covered frontier is poorly known. New information is encoded in seismic wide-angle reflections and refractions recorded with expendable sonobuoys between 2007 and 2011. Velocity–depth samples within the sedimentary succession are extracted from published analyses for 142 of these records obtained at irregularly spaced stations across an area of 1.9E + 06 km</span><sup>2</sup><span>. The samples are modelled at regional, subregional and station-specific scales using an exponential function of inverse velocity versus depth with regionally representative parameters determined through numerical regression. With this approach, smooth, non-oscillatory velocity–depth profiles can be generated for any desired location in the study area, even where the measurement density is low. Practical application is demonstrated with a map of sedimentary thickness, derived from seismic reflection horizons interpreted in the time domain and depth converted using the velocity–depth profiles for each seismic trace. A thickness of 12–13&nbsp;km is present beneath both the upper Mackenzie fan and the middle slope off of Alaska, but the sedimentary prism thins more gradually outboard of the latter region. Mapping of the observed-to-predicted velocities reveals coherent geospatial trends associated with five subregions: the Mackenzie fan; the continental slopes beyond the Mackenzie fan; the abyssal plain; the southwestern Canada Basin; and, the Alpha-Mendeleev magnetic domain. Comparison of the subregional velocity–depth models with published borehole data, and interpretation of the station-specific best-fitting model parameters, suggests that sandstone is not a predominant lithology in any of the five subregions. However, the bulk sand-to-shale ratio likely increases towards the Mackenzie fan, and the model for this subregion compares favourably with borehole data for Miocene turbidites in the eastern Gulf of Mexico. The station-specific results also indicate that Quaternary sediments coarsen towards the Beaufort-Mackenzie and Banks Island margins in a manner that is consistent with the variable history of Laurentide Ice Sheet advance documented for these margins. Lithological factors do not fully account for the elevated velocity–depth trends that are associated with the southwestern Canada Basin and the Alpha-Mendeleev magnetic domain. Accelerated porosity reduction due to elevated palaeo-heat flow is inferred for these regions, which may be related to the underlying crustal types or possibly volcanic intrusion of the sedimentary succession. Beyond exploring the variation of an important physical property in the Arctic Ocean basin, this study provides comparative reference for global studies of seismic velocity, burial history, sedimentary compaction, seismic inversion and overpressure prediction, particularly in mudrock-dominated successions.</span></p>","language":"English","publisher":"Oxford Journals","doi":"10.1093/gji/ggv416","usgsCitation":"Shimeld, J., Li, Q., Chian, D., Lebedeva-Ivanova, N., Jackson, R., Mosher, D., and Hutchinson, D.R., 2016, Seismic velocities within the sedimentary succession of the Canada Basin and southern Alpha-Mendeleev Ridge, Arctic Ocean: evidence for accelerated porosity reduction?: Geophysical Journal International, v. 204, no. 1, p. 1-20, https://doi.org/10.1093/gji/ggv416.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-064703","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggv416","text":"Publisher Index Page"},{"id":328940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-09","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbdb","contributors":{"authors":[{"text":"Shimeld, John","contributorId":146869,"corporation":false,"usgs":false,"family":"Shimeld","given":"John","affiliations":[],"preferred":false,"id":649568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Qingmou","contributorId":174893,"corporation":false,"usgs":false,"family":"Li","given":"Qingmou","email":"","affiliations":[],"preferred":false,"id":649569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chian, Deping","contributorId":174894,"corporation":false,"usgs":false,"family":"Chian","given":"Deping","email":"","affiliations":[],"preferred":false,"id":649570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lebedeva-Ivanova, Nina","contributorId":146870,"corporation":false,"usgs":false,"family":"Lebedeva-Ivanova","given":"Nina","email":"","affiliations":[],"preferred":false,"id":649571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Ruth","contributorId":36799,"corporation":false,"usgs":true,"family":"Jackson","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":649572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mosher, David","contributorId":174895,"corporation":false,"usgs":false,"family":"Mosher","given":"David","affiliations":[],"preferred":false,"id":649573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hutchinson, Deborah R. 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":521,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649574,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191660,"text":"70191660 - 2016 - Resilience","interactions":[],"lastModifiedDate":"2018-01-26T14:01:49","indexId":"70191660","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Resilience","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford Bibliographies in Environmental Science","language":"English","publisher":"Oxford University Press","doi":"10.1093/OBO/9780199363445-0048","usgsCitation":"Allen, C.R., Garmestani, A.S., and Angeler, D., 2016, Resilience, chap. <i>of</i> Oxford Bibliographies in Environmental Science, https://doi.org/10.1093/OBO/9780199363445-0048.","ipdsId":"IP-069354","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c97e4b06e28e9cabb0e","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":712976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":725969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176570,"text":"70176570 - 2016 - A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes","interactions":[],"lastModifiedDate":"2016-09-21T16:20:15","indexId":"70176570","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes","docAbstract":"Salt marsh losses have been documented worldwide because of land use change, wave erosion, and sea-level rise. It is still unclear how resistant salt marshes are to extreme storms and whether they can survive multiple events without collapsing. Based on a large dataset of salt marsh lateral erosion rates collected around the world, here, we determine the general response of salt marsh boundaries to wave action under normal and extreme weather conditions. As wave energy increases, salt marsh response to wind waves remains linear, and there is not a critical threshold in wave energy above which salt marsh erosion drastically accelerates. We apply our general formulation for salt marsh erosion to historical wave climates at eight salt marsh locations affected by hurricanes in the United States. Based on the analysis of two decades of data, we find that violent storms and hurricanes contribute less than 1% to long-term salt marsh erosion rates. In contrast, moderate storms with a return period of 2.5 mo are those causing the most salt marsh deterioration. Therefore, salt marshes seem more susceptible to variations in mean wave energy rather than changes in the extremes. The intrinsic resistance of salt marshes to violent storms and their predictable erosion rates during moderate events should be taken into account by coastal managers in restoration projects and risk management plans.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1510095112","usgsCitation":"Leonardi, N., Ganju, N., and Fagherazzi, S., 2016, A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 1, p. 64-68, https://doi.org/10.1073/pnas.1510095112.","productDescription":"5 p.","startPage":"64","endPage":"68","ipdsId":"IP-065113","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1510095112","text":"Publisher Index Page"},{"id":328837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbdf","contributors":{"authors":[{"text":"Leonardi, Nicoletta","contributorId":174783,"corporation":false,"usgs":false,"family":"Leonardi","given":"Nicoletta","affiliations":[{"id":27508,"text":"Dept of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":649263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":140088,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":649265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178122,"text":"70178122 - 2016 - Influence of <i>Didymosphenia geminata</i> blooms on prey composition and associated diet and growth of Brown Trout","interactions":[],"lastModifiedDate":"2016-11-03T11:16:15","indexId":"70178122","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of <i>Didymosphenia geminata</i> blooms on prey composition and associated diet and growth of Brown Trout","docAbstract":"<p><span>We compared diet, stomach fullness, condition, and growth of Brown Trout </span><i>Salmo trutta</i><span> among streams with or without blooms of the benthic diatom </span><i>Didymosphenia geminata</i><span> in the Black Hills, South Dakota. In Rapid Creek, where </span><i>D. geminata</i><span> blooms covered ∼30% of the stream bottom, Brown Trout consumed fewer ephemeropterans (6–8% by weight) than individuals from two stream sections that have not had </span><i>D. geminata</i><span>blooms (Castle and Spearfish creeks; 13–39% by weight). In contrast, dipterans (primarily Chironomidae) represented a larger percentage of Brown Trout diets from Rapid Creek (</span><i>D. geminata</i><span> blooms present; 16–28% dry weight) compared with diets of trout from streams without </span><i>D. geminata</i><span> blooms (6–19% dry weight). Diets of small Brown Trout (100–199 mm TL) reflected the invertebrate species composition in benthic stream samples; in Rapid Creek, ephemeropterans were less abundant whereas dipterans were more abundant than in streams without </span><i>D. geminata</i><span> blooms. Stomach fullness and condition of Brown Trout from Rapid Creek were generally greater than those of Brown Trout from other populations. Linkages among invertebrate availability, diet composition, and condition of Brown Trout support the hypothesis that changes in invertebrate assemblages associated with </span><i>D. geminata</i><span> (i.e., more Chironomidae) could be contributing to high recruitment success for small Brown Trout in Rapid Creek.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2015.1111255","usgsCitation":"James, D.A., and Chipps, S.R., 2016, Influence of <i>Didymosphenia geminata</i> blooms on prey composition and associated diet and growth of Brown Trout: Transactions of the American Fisheries Society, v. 145, no. 1, p. 195-205, https://doi.org/10.1080/00028487.2015.1111255.","productDescription":"11 p.","startPage":"195","endPage":"205","ipdsId":"IP-064495","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":330685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-08","publicationStatus":"PW","scienceBaseUri":"581c4cc4e4b09688d6e90fcb","contributors":{"authors":[{"text":"James, Daniel A.","contributorId":41737,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652865,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185995,"text":"70185995 - 2016 - A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater","interactions":[],"lastModifiedDate":"2017-03-30T11:21:50","indexId":"70185995","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","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":"A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater","docAbstract":"<p><span>Numerous methods have been proposed to estimate the pre-nuclear-detonation </span><sup>14</sup><span>C content of dissolved inorganic carbon (DIC) recharged to groundwater that has been corrected/adjusted for geochemical processes in the absence of radioactive decay (</span><sup>14</sup><span>C</span><sub>0</sub><span>) -&nbsp;a quantity that is essential for estimation of radiocarbon age of DIC in groundwater. The models/approaches most commonly used are grouped as follows: (1) single-sample-based models, (2) a statistical approach based on the observed (curved) relationship between </span><sup>14</sup><span>C and δ</span><sup>13</sup><span>C data for the aquifer, and (3) the geochemical mass-balance approach that constructs adjustment models accounting for all the geochemical reactions known to occur along a groundwater flow path. This review discusses first the geochemical processes behind each of the single-sample-based models, followed by discussions of the statistical approach and the geochemical mass-balance approach. Finally, the applications, advantages and limitations of the three groups of models/approaches are discussed.</span></p><p><span>The single-sample-based models constitute the prevailing use of <sup>14</sup><span>C data in hydrogeology and hydrological studies. This is in part because the models are applied to an individual water sample to estimate the </span><sup>14</sup><span>C age, therefore the measurement data are easily available. These models have been shown to provide realistic radiocarbon ages in many studies. However, they usually are limited to simple carbonate aquifers and selection of model may have significant effects on </span><sup>14</sup><span>C</span><sub>0</sub><span> often resulting in a wide range of estimates of </span><sup>14</sup><span>C ages.</span></span></p><p><span><span>Of the single-sample-based models, four are recommended for the estimation of <sup>14</sup><span>C</span><sub>0</sub><span> of DIC in groundwater: Pearson's model, (Ingerson and Pearson, 1964; Pearson and White, 1967), Han &amp; Plummer's model (Han and Plummer, 2013), the IAEA model (Gonfiantini, 1972; Salem et al., 1980), and Oeschger's model (Geyh, 2000). These four models include all processes considered in single-sample-based models, and can be used in different ranges of </span><sup>13</sup><span>C values.</span></span></span></p><p><span><span><span>In contrast to the single-sample-based models, the extended Gonfiantini &amp; Zuppi model (Gonfiantini and Zuppi, 2003; Han et al., 2014) is a statistical approach. This approach can be used to estimate <sup>14</sup><span>C ages when a curved relationship between the </span><sup>14</sup><span>C and </span><sup>13</sup><span>C values of the DIC data is observed. In addition to estimation of groundwater ages, the relationship between </span><sup>14</sup><span>C and δ</span><sup>13</sup><span>C data can be used to interpret hydrogeological characteristics of the aquifer, e.g. estimating apparent rates of geochemical reactions and revealing the complexity of the geochemical environment, and identify samples that are not affected by the same set of reactions/processes as the rest of the dataset. The investigated water samples may have a wide range of ages, and for waters with very low values of </span><sup>14</sup><span>C, the model based on statistics may give more reliable age estimates than those obtained from single-sample-based models. In the extended Gonfiantini &amp; Zuppi model, a representative system-wide value of the initial </span><sup>14</sup><span>C content is derived from the </span><sup>14</sup><span>C and δ</span><sup>13</sup><span>C data of DIC and can differ from that used in single-sample-based models. Therefore, the extended Gonfiantini &amp; Zuppi model usually avoids the effect of modern water components which might retain ‘bomb’ pulse signatures.</span></span></span></span></p><p><span><span><span>The geochemical mass-balance approach constructs an adjustment model that accounts for all the geochemical reactions known to occur along an aquifer flow path (Plummer et al., 1983; Wigley et al., 1978; Plummer et al., 1994; Plummer and Glynn, 2013), and includes, in addition to DIC, dissolved organic carbon (DOC) and methane (CH<sub>4</sub><span>). If sufficient chemical, mineralogical and isotopic data are available, the geochemical mass-balance method can yield the most accurate estimates of the adjusted radiocarbon age. The main limitation of this approach is that complete information is necessary on chemical, mineralogical and isotopic data and these data are often limited.</span></span></span></span></p><p><span><span><span><span>Failure to recognize the limitations and underlying assumptions on which the various models and approaches are based can result in a wide range of estimates of <sup>14</sup><span>C</span><sub>0</sub><span> and limit the usefulness of radiocarbon as a dating tool for groundwater. In each of the three generalized approaches (single-sample-based models, statistical approach, and geochemical mass-balance approach), successful application depends on scrutiny of the isotopic (</span><sup>14</sup><span>C and </span><sup>13</sup><span>C) and chemical data to conceptualize the reactions and processes that affect the </span><sup>14</sup><span>C content of DIC in aquifers. The recently developed graphical analysis method is shown to aid in determining which approach is most appropriate for the isotopic and chemical data from a groundwater system.</span></span></span></span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2015.11.004","usgsCitation":"Han, L.F., and Plummer, N., 2016, A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater: Earth-Science Reviews, v. 152, p. 119-142, https://doi.org/10.1016/j.earscirev.2015.11.004.","productDescription":"24 p.","startPage":"119","endPage":"142","ipdsId":"IP-068009","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca7","contributors":{"authors":[{"text":"Han, L. F","contributorId":190101,"corporation":false,"usgs":false,"family":"Han","given":"L.","email":"","middleInitial":"F","affiliations":[],"preferred":false,"id":687282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175412,"text":"70175412 - 2016 - Coral calcification and ocean acidification","interactions":[],"lastModifiedDate":"2016-08-31T11:08:38","indexId":"70175412","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coral calcification and ocean acidification","docAbstract":"<p>Over 60 years ago, the discovery that light increased calcification in the coral plant-animal symbiosis triggered interest in explaining the phenomenon and understanding the mechanisms involved. Major findings along the way include the observation that carbon fixed by photosynthesis in the zooxanthellae is translocated to animal cells throughout the colony and that corals can therefore live as autotrophs in many situations. Recent research has focused on explaining the observed reduction in calcification rate with increasing ocean acidification (OA). Experiments have shown a direct correlation between declining ocean pH, declining aragonite saturation state (&Omega;arag), declining [CO32_] and coral calcification. Nearly all previous reports on OA identify &Omega;arag or its surrogate [CO32] as the factor driving coral calcification. However, the alternate &ldquo;Proton Flux Hypothesis&rdquo; stated that coral calcification is controlled by diffusion limitation of net H+ transport through the boundary layer in relation to availability of dissolved inorganic carbon (DIC). The &ldquo;Two Compartment Proton Flux Model&rdquo; expanded this explanation and synthesized diverse observations into a universal model that explains many paradoxes of coral metabolism, morphology and plasticity of growth form in addition to observed coral skeletal growth response to OA. It is now clear that irradiance is the main driver of net photosynthesis (Pnet), which in turn drives net calcification (Gnet), and alters pH in the bulk water surrounding the coral. Pnet controls [CO32] and thus &Omega;arag of the bulk water over the diel cycle. Changes in &Omega;arag and pH lag behind Gnet throughout the daily cycle by two or more hours. The flux rate Pnet, rather than concentration-based parameters (e.g., &Omega;arag, [CO3 2], pH and [DIC]:[H+] ratio) is the primary driver of Gnet. Daytime coral metabolism rapidly removes DIC from the bulk seawater. Photosynthesis increases the bulk seawater pH while providing the energy that drives calcification and increases in Gnet. These relationships result in a correlation between Gnet and &Omega;arag, with both parameters being variables dependent on Pnet. Consequently the correlation between Gnet and &Omega;arag varies widely between different locations and times depending on the relative metabolic contributions of various calcifying and photosynthesizing organisms and local rates of carbonate dissolution. High rates of H+ efflux continue for several hours following the mid-day Gnet peak suggesting that corals have difficulty in shedding waste protons as described by the Proton Flux Model. DIC flux (uptake) tracks Pnet and Gnet and drops off rapidly after the photosynthesis-calcification maxima, indicating that corals can cope more effectively with the problem of limited DIC supply compared to the problem of eliminating H+. Predictive models of future global changes in coral and coral reef growth based on oceanic &Omega;arag must include the influence of future changes in localized Pnet on Gnet as well as changes in rates of reef carbonate dissolution. The correlation between &Omega;arag and Gnet over the diel cycle is simply the result of increasing pH due to photosynthesis that shifts the CO2-carbonate system equilibria to increase [CO32] relative to the other DIC components of [HCO3] and [CO2]. Therefore &Omega;arag closely tracks pH as an effect of Pnet, which also drives changes in Gnet. Measurements of DIC flux and H+ flux are far more useful than concentrations in describing coral metabolism dynamics. Coral reefs are systems that exist in constant disequilibrium with the water column.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coral reefs at the crossroads","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-017-7567-0","collaboration":"Paul L. Jokiel and Christopher P. Jury, Hawaii Institute of Marine Biology, University of Hawaii","usgsCitation":"Jokiel, P.L., Jury, C.P., and Kuffner, I.B., 2016, Coral calcification and ocean acidification, chap. <i>of</i> Coral reefs at the crossroads, v. 6, p. 7-45, https://doi.org/10.1007/978-94-017-7567-0.","productDescription":"29 p.","startPage":"7","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049232","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb0e4b0f2f0cebfc229","contributors":{"authors":[{"text":"Jokiel, Paul L.","contributorId":131043,"corporation":false,"usgs":false,"family":"Jokiel","given":"Paul","email":"","middleInitial":"L.","affiliations":[{"id":7212,"text":"University of Hawai‘i, Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":645113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jury, Christopher P.","contributorId":173575,"corporation":false,"usgs":false,"family":"Jury","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":20314,"text":"Hawaii Institute of Marine Biology, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":645114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":645112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175033,"text":"70175033 - 2016 - Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA","interactions":[],"lastModifiedDate":"2016-07-28T10:03:33","indexId":"70175033","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA","docAbstract":"<p><span>In the Sierra Nevada mountains (USA), and geographically similar areas across the globe where human development is expanding, extreme winter storm and flood risks are expected to increase with changing climate, heightening the need for communities to assess risks and better prepare for such events. In this case study, we demonstrate a novel approach to examining extreme winter storm and flood risks. We incorporated high-resolution atmospheric&ndash;hydrologic modeling of the ARkStorm extreme winter storm scenario with multiple modes of engagement with practitioners, including a series of facilitated discussions and a tabletop emergency management exercise, to develop a regional assessment of extreme storm vulnerabilities, mitigation options, and science needs in the greater Lake Tahoe region of Northern Nevada and California, USA. Through this process, practitioners discussed issues of concern across all phases of the emergency management life cycle, including preparation, response, recovery, and mitigation. Interruption of transportation, communications, and interagency coordination were among the most pressing concerns, and specific approaches for addressing these issues were identified, including prepositioning resources, diversifying communications systems, and improving coordination among state, tribal, and public utility practitioners. Science needs included expanding real-time monitoring capabilities to improve the precision of meteorological models and enhance situational awareness, assessing vulnerabilities of critical infrastructure, and conducting cost&ndash;benefit analyses to assess opportunities to improve both natural and human-made infrastructure to better withstand extreme storms. Our approach and results can be used to support both land use and emergency planning activities aimed toward increasing community resilience to extreme winter storm hazards in mountainous regions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-015-2003-4","usgsCitation":"Albano, C.M., Dettinger, M.D., McCarthy, M., Schaller, K.D., Wellborn, T., and Cox, D.A., 2016, Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA: Natural Hazards, v. 80, no. 2, p. 879-900, https://doi.org/10.1007/s11069-015-2003-4.","productDescription":"22 p.","startPage":"879","endPage":"900","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068894","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":325768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-10","publicationStatus":"PW","scienceBaseUri":"579b2cace4b0589fa1c98090","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":169455,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":643664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western 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":643663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCarthy, Maureen","contributorId":149897,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":643665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaller, Kevin D.","contributorId":173217,"corporation":false,"usgs":false,"family":"Schaller","given":"Kevin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, Toby","contributorId":173203,"corporation":false,"usgs":false,"family":"Wellborn","given":"Toby","email":"","affiliations":[{"id":27191,"text":"USGS, NV WSC","active":true,"usgs":false}],"preferred":false,"id":643666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cox, Dale A. dacox@usgs.gov","contributorId":165,"corporation":false,"usgs":true,"family":"Cox","given":"Dale","email":"dacox@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":643667,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}