{"pageNumber":"720","pageRowStart":"17975","pageSize":"25","recordCount":40783,"records":[{"id":70042453,"text":"70042453 - 2012 - Shorebird surveys in western Alaska","interactions":[],"lastModifiedDate":"2022-12-21T16:48:44.16649","indexId":"70042453","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Shorebird surveys in western Alaska","docAbstract":"<p>Surveys for breeding shorebirds were conducted during 2001-2002 in four National Wildlife Refuges (NWRs) in western Alaska - Alaska Maritime, Alaska Peninsula, Yukon Delta and Selawik. The sizes of our study areas on and adjacent to these four refuges were 9,243 km<sup>2</sup>, 24,493 km<sup>2</sup>, 853 km<sup>2</sup>, and 15,170 km<sup>2</sup>, respectively. Eleven sites were selected non-randomly, 3 in the Alaska Maritime NWR, 6 in the Alaska Peninsula, and one each in the other two NWRs. Survey and analytic methods are described in Chapter 2. Rapid surveys were conducted on 224 plots; 2,163 indicated pairs of shorebirds were recorded of which 1,485 were judged to be nesting in the surveyed plots. Detection ratios were estimated using intensive plot data from northern Alaska as well as from two plots on the Yukon Delta NWR. The highest estimated densities (shorebirds/km<sup>2</sup>) were on the Yukon Delta Study Area: 416 in wetlands and 300 in moist areas. The estimated densities on the Alaska Peninsula Study Area were 118 in wetlands and 62 in uplands. Other densities were markedly lower. Estimated numbers of shorebirds were 62,000 (CV = 0.58), 1,804,000 (CV = 0.32), 310,000 (CV = 0.11), and 390,000 (CV = 0.35), in the Alaska Maritime, Alaska Peninsula, Yukon Delta, and Selawik study areas, respectively. The former two estimates were affected by selection bias of unknown magnitude and so should be regarded with caution. A small estimate was generated for the Yukon Delta Study Area because it covered only about 1% of the Yukon Delta NWR. We identify several species-specific estimates from our study which appear inconsistent with previous continental estimates. This pilot study provides preliminary estimates of species composition and density in the surveyed areas. By incorporating several region-specific modifications to the sampling protocols for future surveys, we believe that the Arctic PRISM method is suitable for covering large areas in western Alaska.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arctic shorebirds in North America: A decade of monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","usgsCitation":"McCaffery, B.J., Bart, J., Wightman, C., and Krueper, D.J., 2012, Shorebird surveys in western Alaska, chap. 3 <i>of</i> Arctic shorebirds in North America: A decade of monitoring, v. 44, p. 17-36.","productDescription":"10 p.","startPage":"17","endPage":"36","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026453","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297331,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520273108"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -159.83606127608508,\n              67.83094206266881\n            ],\n            [\n              -168.60315969175733,\n              67.31587290572091\n            ],\n            [\n              -168.04564134058197,\n              59.94938901312631\n            ],\n            [\n              -160.65923179948007,\n              57.14283500068541\n            ],\n            [\n              -176.3059056833646,\n              53.361921209719895\n            ],\n            [\n              -178.00466802783237,\n              50.46694403512976\n            ],\n            [\n              -152.1254855949343,\n              57.554123066073885\n            ],\n            [\n              -159.83606127608508,\n              67.83094206266881\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72a0e4b0b290851086e9","contributors":{"authors":[{"text":"McCaffery, Brian J.","contributorId":37617,"corporation":false,"usgs":true,"family":"McCaffery","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":471576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wightman, Catherine","contributorId":66568,"corporation":false,"usgs":true,"family":"Wightman","given":"Catherine","affiliations":[],"preferred":false,"id":471577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueper, David J.","contributorId":103752,"corporation":false,"usgs":true,"family":"Krueper","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042780,"text":"70042780 - 2012 - Migration strategy affects avian influenza dynamics in mallards (<i>Anas platyrhynchos</i>).","interactions":[],"lastModifiedDate":"2017-08-23T09:13:47","indexId":"70042780","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migration strategy affects avian influenza dynamics in mallards (<i>Anas platyrhynchos</i>).","docAbstract":"Studies of pathogen transmission typically overlook that wildlife hosts can include both migrant and resident populations when attempting to model circulation. Through the application of stable isotopes in flight feathers, we estimated the migration strategy of mallards (<i>Anas platyrhynchos</i>) occurring on California wintering grounds. Our study demonstrates that mallards- a principal host of avian influenza virus (AIV) in nature, contribute differently to virus gene flow depending on migration strategy. No difference in AIV prevalence was detected between resident (9.6%), intermediate-distance (9.6%) and long-distance migrants (7.4%). Viral diversity among the three groups was also comparable, possibly owing to viral pool mixing when birds converge at wetlands during winter. However, migrants and residents contributed differently to the virus gene pool at wintering wetlands. Migrants introduced virus from northern breeding grounds (Alaska and the NW Pacific Rim) into the wintering population, facilitating gene flow at continental scales, but circulation of imported virus appeared to be limited. In contrast, resident mallards acted as AIV reservoirs facilitating year-round circulation of limited subtypes (i.e. H5N2) at lower latitudes. This study supports a model of virus exchange in temperate regions driven by the convergence of wild birds with separate geographic origins and exposure histories.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-294X.2012.05735.x","usgsCitation":"Takekawa, J.Y., Hill, N., Ackerman, J., Herring, G., Hobson, K., Cardona, C.J., Runstadler, J., and Boyce, W.M., 2012, Migration strategy affects avian influenza dynamics in mallards (<i>Anas platyrhynchos</i>).: Molecular Ecology, v. 21, no. 24, p. 5986-5999, https://doi.org/10.1111/j.1365-294X.2012.05735.x.","productDescription":"14 p.","startPage":"5986","endPage":"5999","additionalOnlineFiles":"N","ipdsId":"IP-036867","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":268327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268324,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-294X.2012.05735.x"}],"volume":"21","issue":"24","noUsgsAuthors":false,"publicationDate":"2012-09-13","publicationStatus":"PW","scienceBaseUri":"53cd671ce4b0b290851012ca","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":472241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Nichola J.","contributorId":30342,"corporation":false,"usgs":true,"family":"Hill","given":"Nichola J.","affiliations":[],"preferred":false,"id":472245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":472240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":472242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobson, Keith","contributorId":16723,"corporation":false,"usgs":true,"family":"Hobson","given":"Keith","affiliations":[],"preferred":false,"id":472244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardona, Carol J.","contributorId":10536,"corporation":false,"usgs":true,"family":"Cardona","given":"Carol","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runstadler, Jonathan","contributorId":96557,"corporation":false,"usgs":true,"family":"Runstadler","given":"Jonathan","affiliations":[],"preferred":false,"id":472247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boyce, Walter M.","contributorId":75671,"corporation":false,"usgs":true,"family":"Boyce","given":"Walter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044967,"text":"70044967 - 2012 - Ore genesis constraints on the Idaho Cobalt Belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses","interactions":[],"lastModifiedDate":"2020-01-10T15:05:07","indexId":"70044967","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Ore genesis constraints on the Idaho Cobalt Belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses","docAbstract":"<p>The Idaho cobalt belt is a 60-km-long alignment of deposits composed of cobaltite, Co pyrite, chalcopyrite, and gold with anomalous Nb, Y, Be, and rare-earth elements (REEs) in a quartz-biotite-tourmaline gangue hosted in Mesoproterozoic metasedimentary rocks of the Lemhi Group. It is the largest cobalt resource in the United States with historic production from the Blackbird Mine. All of the deposits were deformed and metamorphosed to upper greenschist-lower amphibolite grade in the Cretaceous. They occur near a 1377 Ma anorogenic bimodal plutonic complex. The enhanced solubility of Fe, Co, Cu, and Au as chloride complexes together with gangue biotite rich in Fe and Cl and gangue quartz containing hypersaline inclusions allows that hot saline fluids were involved. The isotopes of B in gangue tourmaline are suggestive of a marine source, whereas those of Pb in ore suggest a U ± Th-enriched source.</p><p>The ore and gangue minerals in this belt may have trapped components in fluid inclusions that are distinct from those in post-ore minerals and metamorphic minerals. Such components can potentially be identified and distinguished by their relative abundances in contrasting samples. Therefore, we obtained samples of Co and Cu sulfides, gangue quartz, biotite, and tourmaline and post-ore quartz veins as well as Cretaceous metamorphic garnet and determined the gas, noble gas isotope, and ion ratios of fluid inclusion extracts by mass spectrometry and ion chromatography.</p><p>The most abundant gases present in extracts from each sample type are biased toward the gas-rich population of inclusions trapped during maximum burial and metamorphism. All have CO<sub>2</sub>/CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>/Ar ratios of evolved crustal fluids, and many yield a range of H<sub>2</sub>-CH<sub>4</sub>-CO<sub>2</sub>-H<sub>2</sub>S equilibration temperatures consistent with the metamorphic grade. Cretaceous garnet and post-ore minerals have high R<sub>H</sub><span>&nbsp;</span>and R<sub>S</sub><span>&nbsp;</span>values suggestive of reduced sulfidic conditions. Most extracts have anomalous<span>&nbsp;</span><sup>4</sup>He produced by decay of U and Th and<span>&nbsp;</span><sup>38</sup>Ar produced by nucleogenic production from<span>&nbsp;</span><sup>41</sup>K. In contrast, some ore and gangue minerals yield significant SO<sub>2</sub><span>&nbsp;</span>and have low R<sub>H</sub><span>&nbsp;</span>and R<sub>S</sub><span>&nbsp;</span>values of a more oxidized fluid. Three extracts from gangue quartz have high helium R/R<sub>A</sub><span>&nbsp;</span>values indicative of a mantle source and neon isotope compositions that require nucleogenic production of<span>&nbsp;</span><sup>22</sup>Ne in fluorite from U ± Th decay. Two extracts from gangue quartz have estimated<span>&nbsp;</span><sup>40</sup>K/<sup>40</sup>Ar that permit a Precambrian age.</p><p>Extracts from gangue quartz in three different ore zones are biased toward the hypersaline population of inclusions and have a tight range of ion ratios (Na, K, NH<sub>4</sub>, Cl, Br, F) suggestive of a single fluid. Their Na, Cl, Br ratios suggest this fluid was a mixture of magmatic and basinal brine. Na-K-Ca temperatures (279°–347°C) are similar to homogenization temperatures of hypersaline inclusions. The high K/Na of the brine may be due to albitization of K silicate minerals in country rocks. Influx of K-rich brines is consistent with the K metasomatism necessary to form gangue biotite with high Cl. An extract from a post-ore quartz vein is distinct and has Na, Cl, Br ratios that resemble metamorphic fluids in Cretaceous silver veins of the Coeur d’Alene district in the Belt Basin.</p><p>The results show that in some samples, for certain components, it is possible to “see through” the Cretaceous metamorphic overprint. Of great import for genetic models, the volatiles trapped in gangue quartz have<span>&nbsp;</span><sup>3</sup>He derived from a mantle source and<span>&nbsp;</span><sup>22</sup>Ne derived from fluorite, both of which may be attributed to nearby ~1377 Ma basalt-rhyolite magmatism. The brine trapped in gangue quartz is a mixture of magmatic fluid and evaporated seawater. The former requires a granitic intrusion that is present in the bimodal intrusive complex, and the latter equatorial paleolatitudes that existed in the Mesoproterozoic. The results permit genetic models involving heat and fluids from the neighboring bimodal plutonic complex and convection of basinal brine in the Lemhi Group. While the inferred fluid sources in the Idaho cobalt belt are similar in many respects to those in iron oxide copper-gold deposits, the fluids were more reduced such that iron was fixed in biotite and tourmaline instead of iron oxides.</p>","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.6.1189","usgsCitation":"Hofstra, A.H., and Landis, G.P., 2012, Ore genesis constraints on the Idaho Cobalt Belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses: Economic Geology, v. 107, no. 6, p. 1189-1205, https://doi.org/10.2113/econgeo.107.6.1189.","productDescription":"17 p.","startPage":"1189","endPage":"1205","numberOfPages":"17","additionalOnlineFiles":"N","ipdsId":"IP-033500","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":270441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.508438,44.9784 ], [ -114.508438,45.124413 ], [ -114.077911,45.124413 ], [ -114.077911,44.9784 ], [ -114.508438,44.9784 ] ] ] } } ] }","volume":"107","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"515bfdf7e4b075500ee5ca7f","contributors":{"authors":[{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":476534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043467,"text":"70043467 - 2012 - Reproductive endocrine disruption in smallmouth bass (<i>Micropterus dolomieu</i>) in the Potomac River basin: spatial and temporal comparisons of biological effects","interactions":[],"lastModifiedDate":"2017-05-23T10:44:18","indexId":"70043467","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive endocrine disruption in smallmouth bass (<i>Micropterus dolomieu</i>) in the Potomac River basin: spatial and temporal comparisons of biological effects","docAbstract":"<p><span>A high prevalence of intersex or testicular oocytes (TO) in male smallmouth bass within the Potomac River drainage has raised concerns as to the health of the river. Studies were conducted to document biomarker responses both temporally and spatially to better understand the influence of normal physiological cycles, as well as water quality and land-use influences. Smallmouth bass were collected over a 2-year period from three tributaries of the Potomac River: the Shenandoah River, the South Branch Potomac and Conococheague Creek, and an out-of-basin reference site on the Gauley River. The prevalence of TO varied seasonally with the lowest prevalence observed in July, post-spawn. Reproductive maturity and/or lack of spawning the previous spring, as well as land-use practices such as application of manure and pesticides, may influence the seasonal observations. Annual, seasonal, and site differences were also observed in the percentage of males with measurable concentrations of plasma vitellogenin, mean concentration of plasma vitellogenin in females, and plasma concentrations of 17β-estradiol and testosterone in both sexes. Bass collected in the South Branch Potomac (moderate to high prevalence of TO) had less sperm per testes mass with a lower percentage of those sperm being motile when compared to those from the Gauley River (low prevalence of TO). An inverse relationship was noted between TO severity and sperm motility. An association between TO severity and wastewater treatment plant flow, percent of agriculture, total number of animal feeding operations, the number of poultry houses, and animal density within the catchment was observed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-011-2266-5","usgsCitation":"Blazer, V., Iwanowicz, L., Henderson, H., Mazik, P.M., Jenkins, J.A., Alvarez, D., and Young, J.A., 2012, Reproductive endocrine disruption in smallmouth bass (<i>Micropterus dolomieu</i>) in the Potomac River basin: spatial and temporal comparisons of biological effects: Environmental Monitoring and Assessment, v. 184, no. 7, p. 4309-4334, https://doi.org/10.1007/s10661-011-2266-5.","productDescription":"26 p.","startPage":"4309","endPage":"4334","ipdsId":"IP-026403","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":474620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-011-2266-5","text":"Publisher Index Page"},{"id":273566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273564,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-011-2266-5"}],"country":"United States","state":"Maryl","otherGeospatial":"Potomac River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.43,39.22 ], [ -79.43,39.43 ], [ -79.13,39.43 ], [ -79.13,39.22 ], [ -79.43,39.22 ] ] ] } } ] }","volume":"184","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-08-04","publicationStatus":"PW","scienceBaseUri":"51b6f56be4b0097a7158e5e1","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":473653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Holly","contributorId":97805,"corporation":false,"usgs":true,"family":"Henderson","given":"Holly","email":"","affiliations":[],"preferred":false,"id":473655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":473650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":473651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":473654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473652,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046658,"text":"70046658 - 2012 - Upper Klamath Basin Landsat Image for April 28, 2006: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-18T13:27:22","indexId":"70046658","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for April 28, 2006: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-7 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/70046658","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for April 28, 2006: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046658.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273938,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/l71045030_03120060428_klamath_nad83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1816ee4b0dd0e00d92221","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479943,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046659,"text":"70046659 - 2012 - Upper Klamath Basin Landsat Image for May 30, 2006: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-18T14:24:04","indexId":"70046659","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for May 30, 2006: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-7 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046659","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for May 30, 2006: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046659.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273940,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/l71045030_03120060530_klamath_nad83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1816fe4b0dd0e00d92231","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479944,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043372,"text":"70043372 - 2012 - Modeling of soil erosion and sediment transport in the East River Basin in southern China","interactions":[],"lastModifiedDate":"2013-02-26T11:39:08","indexId":"70043372","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Modeling of soil erosion and sediment transport in the East River Basin in southern China","docAbstract":"Soil erosion is a major global environmental problem that has caused many issues involving land degradation, sedimentation of waterways, ecological degradation, and nonpoint source pollution. Therefore, it is significant to understand the processes of soil erosion and sediment transport along rivers, and this can help identify the erosion prone areas and find potential measures to alleviate the environmental effects. In this study, we investigated soil erosion and identified the most seriously eroded areas in the East River Basin in southern China using a physically-based model, Soil and Water Assessment Tool (SWAT). We also introduced a classical sediment transport method (Zhang) into SWAT and compared it with the built-in Bagnold method in simulating sediment transport process along the river. The derived spatial soil erosion map and land use based erosion levels can explicitly illustrate the identification and prioritization of the critical soil erosion areas in this basin. Our results also indicate that erosion is quite sensitive to soil properties and slope. Comparison of Bagnold and Zhang methods shows that the latter can give an overall better performance especially in tracking the peak and low sediment concentrations along the river. We also found that the East River is mainly characterized by sediment deposition in most of the segments and at most times of a year. Overall, the results presented in this paper can provide decision support for watershed managers about where the best management practices (conservation measures) can be implemented effectively and at low cost. The methods we used in this study can also be of interest in sediment modeling for other basins worldwide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.09.057","usgsCitation":"Wu, Y., and Chen, J., 2012, Modeling of soil erosion and sediment transport in the East River Basin in southern China: Science of the Total Environment, v. 441, p. 159-168, https://doi.org/10.1016/j.scitotenv.2012.09.057.","productDescription":"10 p.","startPage":"159","endPage":"168","additionalOnlineFiles":"N","ipdsId":"IP-041116","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268364,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.09.057"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 113.9323,22.9369 ], [ 113.9323,25.0047 ], [ 115.0351,25.0047 ], [ 115.0351,22.9369 ], [ 113.9323,22.9369 ] ] ] } } ] }","volume":"441","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd67e2e4b0b29085101af3","contributors":{"authors":[{"text":"Wu, Yping","contributorId":107582,"corporation":false,"usgs":true,"family":"Wu","given":"Yping","email":"","affiliations":[],"preferred":false,"id":473494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":473493,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044362,"text":"70044362 - 2012 - Climate variability during the Medieval Climate Anomaly and Little Ice Age based on ostracod faunas and shell geochemistry from Biscayne Bay, Florida","interactions":[],"lastModifiedDate":"2022-12-27T16:33:49.06079","indexId":"70044362","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Developments in Quaternary Sciences","chapter":"14","title":"Climate variability during the Medieval Climate Anomaly and Little Ice Age based on ostracod faunas and shell geochemistry from Biscayne Bay, Florida","docAbstract":"<p><span>An 800-year-long environmental history of Biscayne Bay, Florida, is reconstructed from ostracod faunal and shell geochemical (oxygen, carbon isotopes, Mg/Ca ratios) studies of sediment cores from three mudbanks in the central and southern parts of the bay. Using calibrations derived from analyses of modern Biscayne and Florida Bay ostracods, palaeosalinity oscillations associated with changes in precipitation were identified. These oscillations reflect multidecadal- and centennial-scale climate variability associated with the Atlantic Multidecadal Oscillation during the late Medieval Climate Anomaly (MCA) and the Little Ice Age (LIA). Evidence suggests wetter regional climate during the MCA and drier conditions during the LIA. In addition, twentieth century anthropogenic modifications to Everglades hydrology influenced bay circulation and/or processes controlling carbon isotopic composition.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ostracoda as proxies for quaternary climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-53636-5.00014-7","usgsCitation":"Cronin, T.M., Wingard, G.L., Dwyer, G., Swart, P.K., Willard, D.A., and Albietz, J., 2012, Climate variability during the Medieval Climate Anomaly and Little Ice Age based on ostracod faunas and shell geochemistry from Biscayne Bay, Florida, chap. 14 <i>of</i> Ostracoda as proxies for quaternary climate change, v. 17, p. 241-262, https://doi.org/10.1016/B978-0-444-53636-5.00014-7.","productDescription":"22 p.","startPage":"241","endPage":"262","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021778","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.16998291015625,\n              25.68856292610355\n            ],\n            [\n              -80.1507568359375,\n              25.729395396693132\n            ],\n            [\n              -80.19058227539062,\n              25.76526690492097\n            ],\n            [\n              -80.23727416992188,\n              25.739292066931647\n            ],\n            [\n              -80.25238037109375,\n              25.68732535984301\n            ],\n            [\n              -80.28396606445312,\n              25.62914524992192\n            ],\n            [\n              -80.30593872070311,\n              25.618001141542337\n            ],\n            [\n              -80.30868530273438,\n              25.564742726875785\n            ],\n            [\n              -80.321044921875,\n              25.541202389740473\n            ],\n            [\n              -80.33340454101562,\n              25.533767638544543\n            ],\n            [\n              -80.34439086914062,\n              25.485430526043555\n            ],\n            [\n              -80.33477783203125,\n              25.433353427832156\n            ],\n            [\n              -80.321044921875,\n              25.381253810395094\n            ],\n            [\n              -80.34027099609375,\n              25.33657909726809\n            ],\n            [\n              -80.31417846679686,\n              25.30554528239941\n            ],\n            [\n              -80.28259277343749,\n              25.31920114076412\n            ],\n            [\n              -80.25238037109375,\n              25.36760495535992\n            ],\n            [\n              -80.21255493164061,\n              25.40854689267053\n            ],\n            [\n              -80.1947021484375,\n              25.45443496795258\n            ],\n            [\n              -80.18096923828124,\n              25.501545058832342\n            ],\n            [\n              -80.15487670898438,\n              25.67866203603157\n            ],\n            [\n              -80.16998291015625,\n              25.68856292610355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e6e4b0e619a5806ed9","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","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":475373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. 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,{"id":70044076,"text":"70044076 - 2012 - Parasite invasion following host reintroduction: a case of Yellowstone’s wolves","interactions":[],"lastModifiedDate":"2013-03-26T13:24:19","indexId":"70044076","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Parasite invasion following host reintroduction: a case of Yellowstone’s wolves","docAbstract":"Wildlife reintroductions select or treat individuals for good health with the expectation that these individuals will fare better than infected animals. However, these individuals, new to their environment, may also be particularly susceptible to circulating infections and this may result in high morbidity and mortality, potentially jeopardizing the goals of recovery. Here, using the reintroduction of the grey wolf (Canis lupus) into Yellowstone National Park as a case study, we address the question of how parasites invade a reintroduced population and consider the impact of these invasions on population performance. We find that several viral parasites rapidly invaded the population inside the park, likely via spillover from resident canid species, and we contrast these with the slower invasion of sarcoptic mange, caused by the mite Sarcoptes scabiei. The spatio-temporal patterns of mange invasion were largely consistent with patterns of host connectivity and density, and we demonstrate that the area of highest resource quality, supporting the greatest density of wolves, is also the region that appears most susceptible to repeated disease invasion and parasite-induced declines. The success of wolf reintroduction appears not to have been jeopardized by infectious disease, but now shows signs of regulation or limitation modulated by parasites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Philosophical Transactions of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society Publishing","publisherLocation":"London, UK","doi":"10.1098/rstb.2011.0369","usgsCitation":"Cross, P.C., Almberg, E., Dobson, A.P., Smith, D.W., and Hudson, P., 2012, Parasite invasion following host reintroduction: a case of Yellowstone’s wolves: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 367, no. 1604, p. 2840-2851, https://doi.org/10.1098/rstb.2011.0369.","productDescription":"12 p.","startPage":"2840","endPage":"2851","numberOfPages":"12","additionalOnlineFiles":"N","ipdsId":"IP-032996","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":474659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2011.0369","text":"Publisher Index Page"},{"id":270138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270133,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rstb.2011.0369"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.1560,44.1313 ], [ -111.1560,45.1090 ], [ -109.8255,45.1090 ], [ -109.8255,44.1313 ], [ -111.1560,44.1313 ] ] ] } } ] }","volume":"367","issue":"1604","noUsgsAuthors":false,"publicationDate":"2012-10-19","publicationStatus":"PW","scienceBaseUri":"5152c3a4e4b01197b08e9ce6","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almberg, Emily S.","contributorId":101111,"corporation":false,"usgs":true,"family":"Almberg","given":"Emily S.","affiliations":[],"preferred":false,"id":474789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobson, Andrew P.","contributorId":63693,"corporation":false,"usgs":true,"family":"Dobson","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Douglas W.","contributorId":95727,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":474788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":474787,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043480,"text":"70043480 - 2012 - Experimental and environmental factors affect spurious detection of ecological thresholds","interactions":[],"lastModifiedDate":"2013-03-04T13:38:17","indexId":"70043480","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental and environmental factors affect spurious detection of ecological thresholds","docAbstract":"Threshold detection methods are increasingly popular for assessing nonlinear responses to environmental change, but their statistical performance remains poorly understood. We simulated linear change in stream benthic macroinvertebrate communities and evaluated the performance of commonly used threshold detection methods based on model fitting (piecewise quantile regression [PQR]), data partitioning (nonparametric change point analysis [NCPA]), and a hybrid approach (significant zero crossings [SiZer]). We demonstrated that false detection of ecological thresholds (type I errors) and inferences on threshold locations are influenced by sample size, rate of linear change, and frequency of observations across the environmental gradient (i.e., sample-environment distribution, SED). However, the relative importance of these factors varied among statistical methods and between inference types. False detection rates were influenced primarily by user-selected parameters for PQR (&tau;) and SiZer (bandwidth) and secondarily by sample size (for PQR) and SED (for SiZer). In contrast, the location of reported thresholds was influenced primarily by SED. Bootstrapped confidence intervals for NCPA threshold locations revealed strong correspondence to SED. We conclude that the choice of statistical methods for threshold detection should be matched to experimental and environmental constraints to minimize false detection rates and avoid spurious inferences regarding threshold location.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA (Ecological Society of America)","publisherLocation":"Ithaca, NY","doi":"10.1890/11-0516.1","usgsCitation":"Daily, J., Hitt, N.P., Smith, D., and Snyder, C.D., 2012, Experimental and environmental factors affect spurious detection of ecological thresholds: Ecology, v. 93, no. 1, p. 17-23, https://doi.org/10.1890/11-0516.1.","productDescription":"7 p.","startPage":"17","endPage":"23","numberOfPages":"7","additionalOnlineFiles":"N","ipdsId":"IP-026563","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":474775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/11-0516.1","text":"Publisher Index Page"},{"id":268714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268713,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0516.1"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5135d076e4b03b8ec4025b45","contributors":{"authors":[{"text":"Daily, Jonathan P. jdaily@usgs.gov","contributorId":40484,"corporation":false,"usgs":true,"family":"Daily","given":"Jonathan P.","email":"jdaily@usgs.gov","affiliations":[],"preferred":false,"id":473684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044859,"text":"70044859 - 2012 - Mineral resource of the month: aggregates","interactions":[],"lastModifiedDate":"2013-05-08T16:56:12","indexId":"70044859","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: aggregates","docAbstract":"Crushed stone and construction sand and gravel, the two major types of natural aggregates, are among the most abundant and accessible natural resources on the planet. The earliest civilizations used aggregates for various purposes, mainly construction. Today aggregates provide the basic raw materials for the foundation of modern society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Willett, J.C., 2012, Mineral resource of the month: aggregates: Earth, v. 57, no. 4, p. 25-25.","productDescription":"1 p.","startPage":"25","endPage":"25","additionalOnlineFiles":"N","ipdsId":"IP-035450","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270477,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2012_04"}],"volume":"57","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdeae4b075500ee5ca43","contributors":{"authors":[{"text":"Willett, Jason C. 0000-0002-7598-3174 jwillett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-3174","contributorId":3516,"corporation":false,"usgs":true,"family":"Willett","given":"Jason","email":"jwillett@usgs.gov","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476414,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045351,"text":"70045351 - 2012 - Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT","interactions":[],"lastModifiedDate":"2013-04-22T14:33:36","indexId":"70045351","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT","docAbstract":"In most watershed-modeling studies, flow is calibrated at one monitoring site, usually at the watershed outlet. Like many arid and semi-arid watersheds, the main reach of the Santa Cruz watershed, located on the Arizona-Mexico border, is discontinuous for most of the year except during large flood events, and therefore the flow characteristics at the outlet do not represent the entire watershed. Calibration is required at multiple locations along the Santa Cruz River to improve model reliability. The objective of this study was to best portray surface water flow in this semiarid watershed and evaluate the effect of multi-gage calibration on flow predictions. In this study, the Soil and Water Assessment Tool (SWAT) was calibrated at seven monitoring stations, which improved model performance and increased the reliability of flow, in the Santa Cruz watershed. The most sensitive parameters to affect flow were found to be curve number (CN2), soil evaporation and compensation coefficient (ESCO), threshold water depth in shallow aquifer for return flow to occur (GWQMN), base flow alpha factor (Alpha_Bf), and effective hydraulic conductivity of the soil layer (Ch_K2). In comparison, when the model was established with a single calibration at the watershed outlet, flow predictions at other monitoring gages were inaccurate. This study emphasizes the importance of multi-gage calibration to develop a reliable watershed model in arid and semiarid environments. The developed model, with further calibration of water quality parameters will be an integral part of the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM), an online decision support tool, to assess the impacts of climate change and urban growth in the Santa Cruz watershed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Air, Soil and Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Libertas Academica Ltd.","publisherLocation":"Auckland, New Zealand","doi":"10.4137/ASWR.S9410","usgsCitation":"Niraula, R., Norman, L.A., Meixner, T., and Callegary, J.B., 2012, Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT: Air, Soil and Water Research, v. 2012, no. 5, p. 41-57, https://doi.org/10.4137/ASWR.S9410.","productDescription":"17 p.","startPage":"41","endPage":"57","numberOfPages":"17","ipdsId":"IP-033521","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4137/aswr.s9410","text":"Publisher Index Page"},{"id":271377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271378,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4137/ASWR.S9410"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.213226,31.210452 ], [ -111.213226,32.345162 ], [ -110.67627,32.345162 ], [ -110.67627,31.210452 ], [ -111.213226,31.210452 ] ] ] } } ] }","volume":"2012","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-04-30","publicationStatus":"PW","scienceBaseUri":"51765bebe4b0f989f99e0107","contributors":{"authors":[{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":477274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura A.","contributorId":108003,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":477273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":477272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044135,"text":"70044135 - 2012 - Biostratigraphy and chronostratigraphy of the Cambrian-Ordovician great American carbonate bank","interactions":[],"lastModifiedDate":"2020-09-11T18:45:13.277105","indexId":"70044135","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"title":"Biostratigraphy and chronostratigraphy of the Cambrian-Ordovician great American carbonate bank","docAbstract":"<p><span>The carbonate strata of the great American carbonate bank (GACB) have been subdivided and correlated with ever-increasing precision and accuracy during the past half century through use of the dominant organisms that evolved on the Laurentian platform through the Cambrian and the Ordovician. Trilobites and conodonts remain the primary groups used for this purpose, although brachiopods, both calcareous and phosphatic, and graptolites are very important in certain facies and intervals. A series of charts show the chronostratigraphic units (series and stages) currently in use for deposits of the GACB and the biostratigraphic units (zones, subzones, and biomeres) whose boundaries delineate them. Older and, in some cases obsolete, stages and faunal units are included in the figures to allow users to relate information from previous publications and/or industry databases to modern units. This chapter also provides a brief discussion on the use of biostratigraphy in the recognition and interregional correlation of supersequence boundaries within the Sauk and Tippecanoe megasequences, and the varied perspectives on the nature of biostratigraphic units and their defining taxa during the past half century. Also included are a concise update on the biomere concept, and an explanation of the biostratigraphic consequences of a profound change in the dynamics of extinction and replacement that occurred on the GACB in the Early Ordovician when the factors responsible for platformwide biomere-type extinctions faded and ultimately disappeared. A final section addresses recent and pending refinements in the genus and species taxonomy of biostratigraphically significant fossil groups, the potential they hold for greatly improved correlation, and the obstacles to be overcome for that potential to be realized.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331488M983497","usgsCitation":"Taylor, J.F., Repetski, J.E., Loch, J.D., and Leslie, S.A., 2012, Biostratigraphy and chronostratigraphy of the Cambrian-Ordovician great American carbonate bank, chap. <i>of</i> The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 15-35, https://doi.org/10.1306/13331488M983497.","productDescription":"21 p.","startPage":"15","endPage":"35","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018460","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":297965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297966,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/memoir98/CHAPTER03/CHAPTER03.HTM"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64cee4b00154e4368b53","contributors":{"authors":[{"text":"Taylor, John F.","contributorId":80890,"corporation":false,"usgs":false,"family":"Taylor","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":474862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":474861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loch, James D.","contributorId":20139,"corporation":false,"usgs":false,"family":"Loch","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":474859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leslie, Stephen A.","contributorId":25750,"corporation":false,"usgs":false,"family":"Leslie","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043839,"text":"70043839 - 2012 - Molecular characterization and comparison of shale oils generated by different pyrolysis methods","interactions":[],"lastModifiedDate":"2013-02-26T15:17:11","indexId":"70043839","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Molecular characterization and comparison of shale oils generated by different pyrolysis methods","docAbstract":"Shale oils generated using different laboratory pyrolysis methods have been studied using standard oil characterization methods as well as Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) with electrospray ionization (ESI) and atmospheric photoionization (APPI) to assess differences in molecular composition. The pyrolysis oils were generated from samples of the Mahogany zone oil shale of the Eocene Green River Formation collected from outcrops in the Piceance Basin, Colorado, using three pyrolysis systems under conditions relevant to surface and in situ retorting approaches. Significant variations were observed in the shale oils, particularly the degree of conjugation of the constituent molecules and the distribution of nitrogen-containing compound classes. Comparison of FT-ICR MS results to other oil characteristics, such as specific gravity; saturate, aromatic, resin, asphaltene (SARA) distribution; and carbon number distribution determined by gas chromatography, indicated correspondence between higher average double bond equivalence (DBE) values and increasing asphaltene content. The results show that, based on the shale oil DBE distributions, highly conjugated species are enriched in samples produced under low pressure, high temperature conditions, and under high pressure, moderate temperature conditions in the presence of water. We also report, for the first time in any petroleum-like substance, the presence of N<sub>4</sub> class compounds based on FT-ICR MS data. Using double bond equivalence and carbon number distributions, structures for the N<sub>4</sub> class and other nitrogen-containing compounds are proposed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Energy & Fuels","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/ef201517a","usgsCitation":"Birdwell, J.E., Jin, J.M., and Kim, S., 2012, Molecular characterization and comparison of shale oils generated by different pyrolysis methods: Energy & Fuels, v. 26, https://doi.org/10.1021/ef201517a.","numberOfPages":"32","ipdsId":"IP-033210","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":268411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268410,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ef201517a"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2012-01-13","publicationStatus":"PW","scienceBaseUri":"53cd6808e4b0b29085101c5d","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jin, Jang Mi","contributorId":28877,"corporation":false,"usgs":true,"family":"Jin","given":"Jang","email":"","middleInitial":"Mi","affiliations":[],"preferred":false,"id":474299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Sunghwan","contributorId":108376,"corporation":false,"usgs":true,"family":"Kim","given":"Sunghwan","affiliations":[],"preferred":false,"id":474300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041463,"text":"70041463 - 2012 - Hydrogen isotope investigation of amphibole and biotite phenocrysts in silicic magmas erupted at Lassen Volcanic Center, California","interactions":[],"lastModifiedDate":"2019-06-04T09:03:24","indexId":"70041463","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogen isotope investigation of amphibole and biotite phenocrysts in silicic magmas erupted at Lassen Volcanic Center, California","docAbstract":"Hydrogen isotope ratio, water content and Fe<sup>3 +</sup>/Fe<sup>2 +</sup> in coexisting amphibole and biotite phenocrysts in volcanic rocks can provide insight into shallow pre- and syn-eruptive magmatic processes such as vesiculation, and lava drainback with mixing into less devolatilized magma that erupts later in a volcanic sequence. We studied four ~ 35 ka and younger eruption sequences (i.e. Kings Creek, Lassen Peak, Chaos Crags, and 1915) at the Lassen Volcanic Center (LVC), California, where intrusion of crystal-rich silicic magma mushes by mafic magmas is inferred from the varying abundances of mafic magmatic inclusions (MMIs) in the silicic volcanic rocks. Types and relative proportions of reacted and unreacted hydrous phenocryst populations are evaluated with accompanying chemical and H isotope changes. Biotite phenocrysts were more susceptible to rehydration in older vesicular glassy volcanic rocks than coexisting amphibole phenocrysts. Biotite and magnesiohornblende phenocrysts toward the core of the Lassen Peak dome are extensively dehydroxylated and reacted from prolonged exposure to high temperature, low pressure, and higher <i>f</i><sub>O2</sub> conditions from post-emplacement cooling. In silicic volcanic rocks not affected by alteration, biotite phenocrysts are often relatively more dehydroxylated than are magnesiohornblende phenocrysts of similar size; this is likely due to the ca 10 times larger overall bulk H diffusion coefficient in biotite. A simplified model of dehydrogenation in hydrous phenocrysts above reaction closure temperature suggests that eruption and quench of magma ascended to the surface in a few hours is too short a time for substantial H loss from amphibole. In contrast, slowly ascended magma can have extremely dehydrogenated and possibly dehydrated biotite, relatively less dehydrogenated magnesiohornblende and reaction rims on both phases. Eruptive products containing the highest proportions of mottled dehydrogenated crystals could indicate that within a few days prior to eruption, degassed vesiculated magma or lava had drained back down the volcanic conduit and mixed with less devolatilized magma. The vesiculated magma contained hydrous phenocrysts with lattice damage, which locally raised the effective H diffusion coefficient by ca 10–100 × and resulted in increased mineral dehydrogenation. Remobilization of dacite magma mush by relatively more reduced mafic magma appears to have generated further <i>f</i><sub>O2</sub> variations in May 1915 as oxidized magma from shallow levels circulated to depths where dehydrogenation of hydrous phenocrysts began. The δD<sub>Magmatic H2O</sub> expressed in LVC acid hot springs is likely a mixture derived from devolatilized ascending mafic magmas and crystallizing silicic magma mush.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jvolgeores.2012.02.019","usgsCitation":"Underwood, S., Feeley, T., and Clynne, M., 2012, Hydrogen isotope investigation of amphibole and biotite phenocrysts in silicic magmas erupted at Lassen Volcanic Center, California: Journal of Volcanology and Geothermal Research, v. 227-228, p. 32-49, https://doi.org/10.1016/j.jvolgeores.2012.02.019.","productDescription":"18 p.","startPage":"32","endPage":"49","ipdsId":"IP-037966","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":264045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"227-228","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cc58dbe4b00ab7c548c69e","contributors":{"authors":[{"text":"Underwood, S.J.","contributorId":101734,"corporation":false,"usgs":true,"family":"Underwood","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":469776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feeley, T.C.","contributorId":17793,"corporation":false,"usgs":true,"family":"Feeley","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":469774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, M.A.","contributorId":90722,"corporation":false,"usgs":true,"family":"Clynne","given":"M.A.","affiliations":[],"preferred":false,"id":469775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044149,"text":"70044149 - 2012 - Neoproterozoic tectonic evolution of the Jebel Saghro and Bou Azzer - El Graara inliers, eastern and central Anti-Atlas, Morocco","interactions":[],"lastModifiedDate":"2013-04-29T10:34:24","indexId":"70044149","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Neoproterozoic tectonic evolution of the Jebel Saghro and Bou Azzer - El Graara inliers, eastern and central Anti-Atlas, Morocco","docAbstract":"New mapping, geochemistry, and 17 U–Pb SHRIMP zircon ages from rocks of the Sirwa, Bou Azzer–El Graara, and Jebel Saghro inliers constrain the Neoproterozoic evolution of the eastern Anti-Atlas during Pan-African orogenesis. In the Sirwa inlier, Tonian quartzite from the pre Pan-African passive margin deposits of the Mimount Formation contains detrital zircon derived entirely from the West African Craton (WAC), with most grains yielding Eburnean Paleoproterozoic ages of about 2050 Ma. Cryogenian Pan-African orogenic activity (PA1) from about 760 to 660 Ma included northward-dipping subduction to produce a volcanic arc, followed by ophiolite obduction onto the WAC. In the Bou Azzer–El Graara inlier, calc-alkaline granodiorite and quartz diorite, dated at 650–646 Ma, are syn- to post-tectonic with respect to the second period of Pan-African orogenesis (PA2), arc-continent accretion, and related greenschist facies metamorphism. Slab break-off and lithospheric delimination may have provided the source for the supra-subduction calc-alkaline plutons. At about 646 Ma, quartz diorite intruded the Tiddiline formation placing an upper limit on molassic deposition. Widespread Ediacaran high-K calc-alkaline to shoshonitic plutonism and volcanism during the final stage of Pan-African orogenesis (PA3) occurred in a setting related to either modification of the margin of the WAC or formation of a continental volcanic arc above a short-lived southward-dipping subduction zone. In the Saghro inlier, eight plutonic rocks yield ages ranging from about 588 to 556 Ma. Sampled plutonic rocks previously considered to be Cryogenian yielded Ediacaran ages. Peraluminous rhyolitic volcanic rocks in the lower part of the Ouarzazate Supergroup, including ash-flow tuffs of the Oued Dar’a caldera, yield ages between about 574 and 571 Ma. The Oued Dar’a caldera developed in a pull-apart graben produced by a left-step in a northeast-trending, left-lateral strike-slip fault zone, and much of the lower Ouarzazate Supergroup volcanic rocks in the area are probably related to caldera out-flow facies and collapse. Late stage PA3 intrusive rocks include the Bouskour–Sidi Flah and Timijt rhyolitic dike swarms at about 563 Ma, the voluminous pink Isk-n-Alla granite (559 &plusmn; 5 Ma), and volumetrically minor gabbro of Tagmout (556 &plusmn; 5 Ma). Rhyolite flows from the upper part of the Ouarzazate Supergroup, above a regional angular unconformity, yielded ages of 558 &plusmn; 4 and 556 &plusmn; 4 Ma. The youngest ages place an upper limit on block faulting and weak folding during latest Pan-African tectonic activity (PA3), coincident with the departure of the Cadomian crustal fragment from the northern margin of the WAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Precambrian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elesver","doi":"10.1016/j.precamres.2012.06.010","usgsCitation":"Walsh, G.J., Aleinikoff, J.N., Harrison, R., Burton, W.C., Quick, J.E., Benziane, F., Yazidi, A., and Saadane, A., 2012, Neoproterozoic tectonic evolution of the Jebel Saghro and Bou Azzer - El Graara inliers, eastern and central Anti-Atlas, Morocco: Precambrian Research, v. 216-219, p. 23-62, https://doi.org/10.1016/j.precamres.2012.06.010.","productDescription":"40 p.","startPage":"23","endPage":"62","numberOfPages":"40","ipdsId":"IP-038433","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271603,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.precamres.2012.06.010"}],"country":"Morocco","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 10.55,29.01 ], [ 10.55,32.02 ], [ -3.99,32.02 ], [ -3.99,29.01 ], [ 10.55,29.01 ] ] ] } } ] }","volume":"216-219","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f966be4b0e41721f7a373","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":474902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrison, Richard W. rharriso@usgs.gov","contributorId":544,"corporation":false,"usgs":true,"family":"Harrison","given":"Richard W.","email":"rharriso@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":474903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quick, James E.","contributorId":21552,"corporation":false,"usgs":true,"family":"Quick","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benziane, Foudad","contributorId":58920,"corporation":false,"usgs":true,"family":"Benziane","given":"Foudad","email":"","affiliations":[],"preferred":false,"id":474907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yazidi, Abdelaziz","contributorId":35212,"corporation":false,"usgs":true,"family":"Yazidi","given":"Abdelaziz","email":"","affiliations":[],"preferred":false,"id":474906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Saadane, Abderrahim","contributorId":103161,"corporation":false,"usgs":true,"family":"Saadane","given":"Abderrahim","email":"","affiliations":[],"preferred":false,"id":474908,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046285,"text":"70046285 - 2012 - Upper Klamath Basin Landsat Image for July 11, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-04T16:30:25","indexId":"70046285","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 11, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-7 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046285","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 11, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046285.","productDescription":"Dataset","onlineOnly":"N","costCenters":[],"links":[{"id":273287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273283,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07112004_p45r30_l7_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c73e4b08a3322c2c394","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479373,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046283,"text":"70046283 - 2012 - Upper Klamath Basin Landsat Image for July 10, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-07-08T14:01:10","indexId":"70046283","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 10, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-7 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046283","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 10, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046283.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273280,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07102006_p44r31_l7_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c73e4b08a3322c2c390","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479371,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046279,"text":"70046279 - 2012 - Upper Klamath Basin Landsat Image for June 24, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-04T15:35:24","indexId":"70046279","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for June 24, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-7 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046279","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for June 24, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046279.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273273,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_06242006_p44r31_l7_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c74e4b08a3322c2c3a8","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479366,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044190,"text":"70044190 - 2012 - On the causes of mid-Pliocene warmth and polar amplification","interactions":[],"lastModifiedDate":"2017-01-25T10:28:17","indexId":"70044190","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"On the causes of mid-Pliocene warmth and polar amplification","docAbstract":"The mid-Pliocene (~ 3 to 3.3 Ma ago), is a period of sustained global warmth in comparison to the late Quaternary (0 to ~ 1 Ma ago), and has potential to inform predictions of long-term future climate change. However, given that several processes potentially contributed, relatively little is understood about the reasons for the observed warmth, or the associated polar amplification. Here, using a modelling approach and a novel factorisation method, we assess the relative contributions to mid-Pliocene warmth from: elevated CO<sub>2</sub>, lowered orography, and vegetation and ice sheet changes. The results show that on a global scale, the largest contributor to mid-Pliocene warmth is elevated CO<sub>2</sub>. However, in terms of polar amplification, changes to ice sheets contribute significantly in the Southern Hemisphere, and orographic changes contribute significantly in the Northern Hemisphere. We also carry out an energy balance analysis which indicates that that on a global scale, surface albedo and atmospheric emmissivity changes dominate over cloud changes. We investigate the sensitivity of our results to uncertainties in the prescribed CO<sub>2</sub> and orographic changes, to derive uncertainty ranges for the various contributing processes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2011.12.042","usgsCitation":"Lunt, D.J., Haywood, A.M., Schmidt, G.A., Salzmann, U., Valdes, P.J., Dowsett, H.J., and Loptson, C.A., 2012, On the causes of mid-Pliocene warmth and polar amplification: Earth and Planetary Science Letters, v. 321-322, p. 128-138, https://doi.org/10.1016/j.epsl.2011.12.042.","productDescription":"11 p.","startPage":"128","endPage":"138","numberOfPages":"11","additionalOnlineFiles":"N","ipdsId":"IP-033085","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474657,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140001040","text":"External Repository"},{"id":271610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271609,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2011.12.042"}],"volume":"321-322","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f966ce4b0e41721f7a37b","contributors":{"authors":[{"text":"Lunt, Daniel J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haywood, Alan M.","contributorId":86663,"corporation":false,"usgs":true,"family":"Haywood","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Gavin A.","contributorId":56131,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gavin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":660589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdes, Paul J.","contributorId":6354,"corporation":false,"usgs":true,"family":"Valdes","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475053,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loptson, Claire A.","contributorId":6743,"corporation":false,"usgs":true,"family":"Loptson","given":"Claire","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475055,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042829,"text":"70042829 - 2012 - MODFLOW-NWT – Robust handling of dry cells using a Newton Formulation of MODFLOW-2005","interactions":[],"lastModifiedDate":"2013-02-25T15:23:34","indexId":"70042829","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"MODFLOW-NWT – Robust handling of dry cells using a Newton Formulation of MODFLOW-2005","docAbstract":"The first versions of the widely used groundwater flow model MODFLOW (McDonald and Harbaugh 1988) had a sure but inflexible way of handling unconfined finite-difference aquifer cells where the water table dropped below the bottom of the cell—these \"dry cells\" were turned inactive for the remainder of the simulation. Problems with this formulation were easily seen, including the potential for inadvertent loss of simulated recharge in the model (Doherty 2001; Painter et al. 2008), and rippling of dry cells through the solution that unacceptably changed the groundwater flow system (Juckem et al. 2006). Moreover, solving problems of the natural world often required the ability to reactivate dry cells when the water table rose above the cell bottom. This seemingly simple desire resulted in a two-decade attempt to include the simulation flexibility while avoiding numerical instability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Publishing Ltd","publisherLocation":"Columbia, MD","doi":"10.1111/j.1745-6584.2012.00976.x","usgsCitation":"Hunt, R., and Feinstein, D.T., 2012, MODFLOW-NWT – Robust handling of dry cells using a Newton Formulation of MODFLOW-2005: Ground Water, v. 50, no. 5, p. 659-663, https://doi.org/10.1111/j.1745-6584.2012.00976.x.","productDescription":"5 p.","startPage":"659","endPage":"663","numberOfPages":"5","additionalOnlineFiles":"N","ipdsId":"IP-037826","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":268262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268261,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00976.x"}],"volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-08","publicationStatus":"PW","scienceBaseUri":"512c9613e4b0855fde6697ce","contributors":{"authors":[{"text":"Hunt, Randal J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":52861,"corporation":false,"usgs":true,"family":"Hunt","given":"Randal J.","affiliations":[],"preferred":false,"id":472358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043801,"text":"70043801 - 2012 - Statistical analyses to support guidelines for marine avian sampling.  Final report","interactions":[],"lastModifiedDate":"2016-09-26T09:45:09","indexId":"70043801","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NOS NCCOS 158","title":"Statistical analyses to support guidelines for marine avian sampling.  Final report","docAbstract":"<p>Interest in development of offshore renewable energy facilities has led to a need for high-quality, statistically robust information on marine wildlife distributions. A practical approach is described to estimate the amount of sampling effort required to have sufficient statistical power to identify species-specific “hotspots” and “coldspots” of marine bird abundance and occurrence in an offshore environment divided into discrete spatial units (e.g., lease blocks), where “hotspots” and “coldspots” are defined relative to a reference (e.g., regional) mean abundance and/or occurrence probability for each species of interest. For example, a location with average abundance or occurrence that is three times larger the mean (3x effect size) could be defined as a “hotspot,” and a location that is three times smaller than the mean (1/3x effect size) as a “coldspot.” The choice of the effect size used to define hot and coldspots will generally depend on a combination of ecological and regulatory considerations. A method is also developed for testing the statistical significance of possible hotspots and coldspots. Both methods are illustrated with historical seabird survey data from the USGS Avian Compendium Database. </p><p>Our approach consists of five main components: </p><p>1. A review of the primary scientific literature on statistical modeling of animal group size and avian count data to develop a candidate set of statistical distributions that have been used or may be useful to model seabird counts. </p><p>2. Statistical power curves for one-sample, one-tailed Monte Carlo significance tests of differences of observed small-sample means from a specified reference distribution. These curves show the power to detect \"hotspots\" or \"coldspots\" of occurrence and abundance at a range of effect sizes, given assumptions which we discuss. </p><p>3. A model selection procedure, based on maximum likelihood fits of models in the candidate set, to determine an appropriate statistical distribution to describe counts of a given species in a particular region and season. </p><p>4. Using a large database of historical at-sea seabird survey data, we applied this technique to identify appropriate statistical distributions for modeling a variety of species, allowing the distribution to vary by season. For each species and season, we used the selected distribution to calculate and map retrospective statistical power to detect hotspots and coldspots, and map pvalues from Monte Carlo significance tests of hotspots and coldspots, in discrete lease blocks designated by the U.S. Department of Interior, Bureau of Ocean Energy Management (BOEM). </p><p>5. Because our definition of hotspots and coldspots does not explicitly include variability over time, we examine the relationship between the temporal scale of sampling and the proportion of variance captured in time series of key environmental correlates of marine bird abundance, as well as available marine bird abundance time series, and use these analyses to develop recommendations for the temporal distribution of sampling to adequately represent both shortterm and long-term variability. </p><p>We conclude by presenting a schematic “decision tree” showing how this power analysis approach would fit in a general framework for avian survey design, and discuss implications of model assumptions and results. We discuss avenues for future development of this work, and recommendations for practical implementation in the context of siting and wildlife assessment for offshore renewable energy development projects. </p>","language":"English","publisher":"National Oceanic & Atmospheric Administration","publisherLocation":"Silver Spring, MD","usgsCitation":"Kinlan, B.P., Zipkin, E., O’Connell, A.F., and Caldow, C., 2012, Statistical analyses to support guidelines for marine avian sampling.  Final report: NOAA Technical Memorandum NOS NCCOS 158, xiv, 77 p.","productDescription":"xiv, 77 p.","numberOfPages":"96","ipdsId":"IP-043284","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328950,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.boem.gov/OCS-Study-BOEM-2012-101/"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f3b2e4b0bc0bec0a0b1f","contributors":{"authors":[{"text":"Kinlan, Brian P.","contributorId":24679,"corporation":false,"usgs":true,"family":"Kinlan","given":"Brian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":649597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise ezipkin@usgs.gov","contributorId":470,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise","email":"ezipkin@usgs.gov","affiliations":[],"preferred":true,"id":649598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldow, Chris","contributorId":66501,"corporation":false,"usgs":true,"family":"Caldow","given":"Chris","email":"","affiliations":[],"preferred":false,"id":649600,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046057,"text":"70046057 - 2012 - Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite","interactions":[],"lastModifiedDate":"2013-06-17T14:43:46","indexId":"70046057","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite","docAbstract":"There are multiple ways to characterize uncertainty in the assessment of coal resources, but not all of them are equally satisfactory. Increasingly, the tendency is toward borrowing from the statistical tools developed in the last 50 years for the quantitative assessment of other mineral commodities. Here, we briefly review the most recent of such methods and formulate a procedure for the systematic assessment of multi-seam coal deposits taking into account several geological factors, such as fluctuations in thickness, erosion, oxidation, and bed boundaries. A lignite deposit explored in three stages is used for validating models based on comparing a first set of drill holes against data from infill and development drilling. Results were fully consistent with reality, providing a variety of maps, histograms, and scatterplots characterizing the deposit and associated uncertainty in the assessments. The geostatistical approach was particularly informative in providing a probability distribution modeling deposit wide uncertainty about total resources and a cumulative distribution of coal tonnage as a function of local uncertainty.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11053-012-9185-1","usgsCitation":"Olea, R., and Luppens, J.A., 2012, Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite: Natural Resources Research, v. 21, no. 4, p. 443-459, https://doi.org/10.1007/s11053-012-9185-1.","productDescription":"17 p.","startPage":"443","endPage":"459","ipdsId":"IP-038710","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273846,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-012-9185-1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.04,28.92 ], [ -94.04,33.01 ], [ -88.81,33.01 ], [ -88.81,28.92 ], [ -94.04,28.92 ] ] ] } } ] }","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-23","publicationStatus":"PW","scienceBaseUri":"51c02ff5e4b0ee1529ed3d51","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":478783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luppens, James A. 0000-0001-7607-8750 jluppens@usgs.gov","orcid":"https://orcid.org/0000-0001-7607-8750","contributorId":550,"corporation":false,"usgs":true,"family":"Luppens","given":"James","email":"jluppens@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043333,"text":"70043333 - 2012 - Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4","interactions":[],"lastModifiedDate":"2018-03-21T15:43:23","indexId":"70043333","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4","docAbstract":"<p>Apparent groundwater ages along two flow paths in the upper Patapsco aquifer of the Maryland Atlantic Coastal Plain, USA, were estimated using <sup>14</sup>C, <sup>36</sup>Cl and <sup>4</sup>He data. Most of the ages range from modern to about 500&nbsp;ka, with one sample at 117&nbsp;km downgradient from the recharge area dated by radiogenic <sup>4</sup>He accumulation at more than one Ma. Last glacial maximum (LGM) water was located about 20&nbsp;km downgradient on the northern flow path, where the radiocarbon age was 21.5&nbsp;ka, paleorecharge temperatures were 0.5–1.5  °C (a maximum cooling of about 12 °C relative to the modern mean annual temperature of 13 °C), and Cl<sup>–</sup>, Cl/Br, and stable isotopes of water were minimum. Low recharge temperatures (typically 5–7 °C) indicate that recharge occurred predominantly during glacial periods when coastal heads were lowest due to low sea-level stand. Flow velocities averaged about 1.0 m a<sup>–1</sup> in upgradient parts of the upper Patapsco aquifer and decreased from 0.13 to 0.04 m a<sup>–1</sup> at 40 and 80&nbsp;km further downgradient, respectively. This study demonstrates that most water in the upper Patapsco aquifer is non-renewable on human timescales under natural gradients, thus highlighting the importance of effective water-supply management to prolong the resource.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-012-0871-1","usgsCitation":"Plummer, N., Eggleston, J.R., Raffensperger, J.P., Hunt, A.G., Casile, G.C., and Andreasen, D.C., 2012, Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4: Hydrogeology Journal, v. 20, no. 7, p. 1269-1294, https://doi.org/10.1007/s10040-012-0871-1.","productDescription":"26 p.","startPage":"1269","endPage":"1294","additionalOnlineFiles":"N","ipdsId":"IP-036422","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":270121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Anne Arundel","city":"Baltimore","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"5152c3a0e4b01197b08e9cdc","contributors":{"authors":[{"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":473401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleston, John R. 0000-0001-6633-3041 jegglest@usgs.gov","orcid":"https://orcid.org/0000-0001-6633-3041","contributorId":3068,"corporation":false,"usgs":true,"family":"Eggleston","given":"John","email":"jegglest@usgs.gov","middleInitial":"R.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raffensperger, Jeff P. 0000-0001-9275-6646 jpraffen@usgs.gov","orcid":"https://orcid.org/0000-0001-9275-6646","contributorId":199119,"corporation":false,"usgs":true,"family":"Raffensperger","given":"Jeff","email":"jpraffen@usgs.gov","middleInitial":"P.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":473402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casile, Gerolamo C. jcasile@usgs.gov","contributorId":4007,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","email":"jcasile@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreasen, D. C.","contributorId":32565,"corporation":false,"usgs":true,"family":"Andreasen","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":473406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043364,"text":"70043364 - 2012 - Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin","interactions":[],"lastModifiedDate":"2013-03-12T14:47:42","indexId":"70043364","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin","docAbstract":"Nonpoint source (NPS) pollution is tightly linked to land use activities that determine the sources and magnitudes of pollutant loadings to stream water. The pollutant loads may also be alleviated within reservoirs because of the physical interception resulting from changed hydrological regimes and other biochemical processes. It is important but challenging to assess the NPS pollution processes with human effects due to the measurement limitations. The objective of this study is to evaluate the effects of human activities such as land uses and reservoir operation on the hydrological and NPS pollution processes in a highly agricultural area-the Iowa River Basin-using the Soil and Water Assessment Tool (SWAT). The evaluation of model performance at multiple sites reveals that SWAT can consistently simulate the daily streamflow, and monthly/annual sediment and nutrient loads (nitrate nitrogen and mineral phosphorus) in the basin. We also used the calibrated model to estimate the trap efficiencies of sediment (&#126;78%) and nutrients (&#126;30%) in the Coralville Reservoir within the basin. These non-negligible effects emphasize the significance of incorporating the sediment and nutrient removal mechanisms into watershed system studies. The spatial quantification of the critical NPS pollution loads can help identify hot-spot areas that are likely locations for the best management practices.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Monitoring","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"RSC Publishing","publisherLocation":"London, UK","doi":"10.1039/C2EM30278K","usgsCitation":"Wu, Y., and Liu, S., 2012, Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin: Journal of Environmental Monitoring, v. 14, no. 9, p. 2350-2361, https://doi.org/10.1039/C2EM30278K.","productDescription":"12 p.","startPage":"2350","endPage":"2361","numberOfPages":"12","additionalOnlineFiles":"N","ipdsId":"IP-025744","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":269172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269168,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/C2EM30278K"}],"country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.9935,41.0483 ], [ -93.9935,43.8583 ], [ -89.9945,43.8583 ], [ -89.9945,41.0483 ], [ -93.9935,41.0483 ] ] ] } } ] }","volume":"14","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e83e4b089809dbf4494","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}