{"pageNumber":"1579","pageRowStart":"39450","pageSize":"25","recordCount":184553,"records":[{"id":70003700,"text":"70003700 - 2012 - Evidence of cryptic individual specialization in an opportunistic insectivorous bat","interactions":[],"lastModifiedDate":"2013-06-10T16:34:02","indexId":"70003700","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of cryptic individual specialization in an opportunistic insectivorous bat","docAbstract":"Habitat use and feeding behaviors of cryptic animals are often poorly understood. Analyses of stable isotope ratios in animal body tissues can help reveal an individual's location and resource use during tissue growth. We investigated variation in stable isotope ratios of 4 elements (H, C, N, and S) in the hair of a sedentary species of insectivorous bat (Eptesicus fuscus) inhabiting a chemically complex urban landscape. Our objective was to quantify population-level isotopic variation and test for evidence of resource specialization by individuals. Bats were sampled over 3 annual molt cycles at maternity roosts in buildings and variance components analysis was used to test whether intraindividual isotopic variation among molts differed from interindividual variation, after controlling for year and roost-group effects. Consistent with prior evidence that E. fuscus is opportunistic in its habitat use and foraging at the population level, we observed wide population-level variation for all isotopes. This variation likely reflects the chemical complexity of the urban landscape studied. However, isotopic variation among years within marked individuals was lower than variation among marked individuals within year for all isotopes, and carbon signatures indicated resource specialization by roost groups and individuals. This is the 1st study to examine variation in stable isotope ratios of individual wild bats over multiple years. Although our results suggest this population tends toward opportunistic habitat use or prey selection, or both, during molt periods, results also indicate that individuals and groups of bats composing the population might be habitat or dietary specialists—a novel finding for insectivorous bats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/11-MAMM-S-162.1","usgsCitation":"Cryan, P., Stricker, C.A., and Wunder, M.B., 2012, Evidence of cryptic individual specialization in an opportunistic insectivorous bat: Journal of Mammalogy, v. 93, no. 2, p. 381-389, https://doi.org/10.1644/11-MAMM-S-162.1.","productDescription":"9 p.","startPage":"381","endPage":"389","ipdsId":"IP-028036","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/11-mamm-s-162.1","text":"Publisher Index Page"},{"id":273574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/11-MAMM-S-162.1"}],"volume":"93","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-30","publicationStatus":"PW","scienceBaseUri":"51b6f567e4b0097a7158e5b1","contributors":{"authors":[{"text":"Cryan, Paul M. 0000-0002-2915-8894","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":99685,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":348408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":348406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wunder, Michael B.","contributorId":88594,"corporation":false,"usgs":true,"family":"Wunder","given":"Michael","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":348407,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003596,"text":"70003596 - 2012 - Estimating and predicting collection probability of fish at dams using multistate modeling","interactions":[],"lastModifiedDate":"2013-06-10T08:56:00","indexId":"70003596","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and predicting collection probability of fish at dams using multistate modeling","docAbstract":"Dams can be equipped with a bypass that routes a portion of the fish that enter the turbine intakes away\nfrom the powerhouse into flumes, where they can be counted. Daily passage abundance can be estimated by dividing\nthe number of fish counted in the bypass by the sampling rate and then dividing the resulting quotient by\nthe collection probability (i.e., the proportion of the fish population passing the dam that is bypassed). We used\nmultistate mark–recapture modeling to evaluate six candidate models for predicting the collection probabilities of\nradio-tagged subyearling fall Chinook salmon (n = 3,852) as a function of 1–2-d time periods (general model), four\ndifferent combinations of outflow (i.e., the total volume of water passing the dam) and turbine allocation (i.e., the\nproportion of outflow directed through the turbines), and a null (intercept only) model. The best-fit model was\nthe additive combination of turbine allocation and outflow, which explained 71% of the null deviance. Cross validation\nof the best-fit model accounted for the variation that may arise from different data sets and the ensuing\nparameter values on the collection probability estimates and yielded a standard error of 0.613 that can be used to\nconstruct approximate 95% prediction intervals in nonstudy years. Such estimates have been unavailable and will\nbe useful anywhere estimates of daily passage abundance at dams with bypasses are needed to manage migratory\nfishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.694828","usgsCitation":"Plumb, J.M., Connor, W.P., Tiffan, K.F., Moffitt, C.M., Perry, R.W., and Adams, N.S., 2012, Estimating and predicting collection probability of fish at dams using multistate modeling: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1364-1373, https://doi.org/10.1080/00028487.2012.694828.","productDescription":"10 p.","startPage":"1364","endPage":"1373","ipdsId":"IP-028831","costCenters":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273463,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.694828"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-16","publicationStatus":"PW","scienceBaseUri":"51b6f566e4b0097a7158e5aa","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":347882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003595,"text":"70003595 - 2012 - Using the internet to understand angler behavior in the information age","interactions":[],"lastModifiedDate":"2013-06-07T10:38:06","indexId":"70003595","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Using the internet to understand angler behavior in the information age","docAbstract":"Declining participation in recreational angling is of great concern to fishery managers because fishing license sales are an important revenue source for protection of aquatic resources. This decline is frequently attributed, in part, to increased societal reliance on electronics. Internet use by anglers is increasing and fishery managers may use the Internet as a unique means to increase angler participation. We examined Internet search behavior using Google Insights for Search, a free online tool that summarizes Google searches from 2004 to 2011 to determine (1) trends in Internet search volume for general fishing related terms and (2) the relative usefulness of terms related to angler recruitment programs across the United States. Though search volume declined for general fishing terms (e.g., fishing, fishing guide), search volume increased for social media and recruitment terms (e.g., fishing forum, family fishing) over the 7-year period. We encourage coordinators of recruitment programs to capitalize on anglers’ Internet usage by considering Internet search patterns when creating web-based information. Careful selection of terms used in web-based information to match those currently searched by potential anglers may help to direct traffic to state agency websites that support recruitment efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2012.722875","usgsCitation":"Martin, D., Pracheil, B.M., DeBoer, J.A., Wilde, G.R., and Pope, K.L., 2012, Using the internet to understand angler behavior in the information age: Fisheries, v. 37, no. 10, p. 458-463, https://doi.org/10.1080/03632415.2012.722875.","productDescription":"6 p.","startPage":"458","endPage":"463","ipdsId":"IP-028800","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273439,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2012.722875"}],"volume":"37","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-11","publicationStatus":"PW","scienceBaseUri":"51b300e9e4b01368e589e410","contributors":{"authors":[{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":347875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pracheil, Brenda M.","contributorId":6361,"corporation":false,"usgs":true,"family":"Pracheil","given":"Brenda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":347874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilde, Gene R.","contributorId":48467,"corporation":false,"usgs":true,"family":"Wilde","given":"Gene","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347872,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043288,"text":"70043288 - 2012 - Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","interactions":[],"lastModifiedDate":"2014-09-18T13:12:41","indexId":"70043288","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","docAbstract":"Investigating the relationship between factors (climate change, atmospheric CO<sub>2</sub> concentrations enrichment, and vegetation structure) and hydrological processes is important for understanding and predicting the interaction between the hydrosphere and biosphere. The Integrated Biosphere Simulator (IBIS) was used to evaluate the effects of climate change, rising CO<sub>2</sub>, and vegetation structure on hydrological processes in China at the end of the 21st century. Seven simulations were implemented using the assemblage of the IPCC climate and CO<sub>2</sub> concentration scenarios, SRES A2 and SRES B1. Analysis results suggest that (1) climate change will have increasing effects on runoff, evapotranspiration (ET), transpiration (T), and transpiration ratio (transpiration/evapotranspiration, T/E) in most hydrological regions of China except in the southernmost regions; (2) elevated CO<sub>2</sub> concentrations will have increasing effects on runoff at the national scale, but at the hydrological region scale, the physiology effects induced by elevated CO<sub>2</sub> concentration will depend on the vegetation types, climate conditions, and geographical background information with noticeable decreasing effects shown in the arid Inland region of China; (3) leaf area index (LAI) compensation effect and stomatal closure effect are the dominant factors on runoff in the arid Inland region and southern moist hydrological regions, respectively; (4) the magnitudes of climate change (especially the changing precipitation pattern) effects on the water cycle are much larger than those of the elevated CO<sub>2</sub> concentration effects; however, increasing CO<sub>2</sub> concentration will be one of the most important modifiers to the water cycle; (5) the water resource condition will be improved in northern China but depressed in southernmost China under the IPCC climate change scenarios, SRES A2 and SRES B1.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2011.10.010","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Fang, X., Wei, X., Liu, S., and Zhou, G., 2012, Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China: Global and Planetary Change, v. 80-81, p. 123-135, https://doi.org/10.1016/j.gloplacha.2011.10.010.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-028970","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2011.10.010"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"80-81","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc565e4b05ebc8f7cc129","contributors":{"authors":[{"text":"Zhu, Qiuan","contributorId":85065,"corporation":false,"usgs":true,"family":"Zhu","given":"Qiuan","affiliations":[],"preferred":false,"id":473294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":33200,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":473292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":473291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, Xiuqin","contributorId":96566,"corporation":false,"usgs":true,"family":"Fang","given":"Xiuqin","affiliations":[],"preferred":false,"id":473296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":473297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shirong","contributorId":54484,"corporation":false,"usgs":true,"family":"Liu","given":"Shirong","affiliations":[],"preferred":false,"id":473293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Guomo","contributorId":85861,"corporation":false,"usgs":true,"family":"Zhou","given":"Guomo","affiliations":[],"preferred":false,"id":473295,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044151,"text":"70044151 - 2012 - Ages of pre-rift basement and synrift rocks along the conjugate rift and transform margins of the Argintine Precordillera and Laurentia","interactions":[],"lastModifiedDate":"2013-04-07T10:23:18","indexId":"70044151","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Ages of pre-rift basement and synrift rocks along the conjugate rift and transform margins of the Argintine Precordillera and Laurentia","docAbstract":"New geochronologic data from basement rocks support the interpretation that the Argentine Precordillera (Cuyania) terrane was rifted from the Ouachita embayment of the Iapetan margin of Laurentia. New data from the Ozark dome show a range of ages in two groups at 1466 ± 3 to 1462 ± 1 Ma and 1323 ± 2 to 1317 ± 2 Ma, consistent with existing data for the Eastern Granite-Rhyolite province and Southern Granite-Rhyolite province, respectively. Similarly, a newly determined age of 1364 ± 2 Ma for the Tishomingo Granite in the Arbuckle Mountains confirms previously published analyses for this part of the Southern Granite-Rhyolite province. Along with previously reported ages from basement olistoliths in Ordovician slope deposits in the Ouachita embayment, the data for basement ages support the interpretation that rocks of the Southern Granite-Rhyolite province form the margin of Laurentian crust around the corner of the Ouachita embayment, which is bounded by the Ouachita rift and Alabama-Oklahoma transform fault. In contrast, both west and east of the corner of the Ouachita embayment, Grenville-Llano basement (approximately 1325–1000 Ma) forms the rifted margin of Laurentia.\n\nNew U/Pb zircon data from basement rocks in the southern part of the Argentine Precordillera indicate crystallization ages of 1205 ± 1 Ma and 1204 ± 2 Ma, consistent with previously reported ages (approximately 1250–1000 Ma) of basement rocks from other parts of the Precordillera. These data document multiple events within the same time span as multiple events in the Grenville orogeny in eastern Laurentia, and are consistent with Grenville-age rocks along the conjugate margins of the Precordillera and Laurentia. Ages from one newly analyzed collection, however, are older than those from other basement rocks in the Precordillera. These ages, from granodioritic-granitic basement clasts in a conglomerate olistolith in Ordovician slope deposits, are 1370 ± 2 Ma and 1367 ± 5 Ma. These older ages from the Precordillera are consistent with indications that the Iapetan margin in the Ouachita embayment of Laurentia truncated the Grenville front and left older rocks of the Southern Granite-Rhyolite province (1390–1320 Ma) at the rifted margin.\n\nChronostratigraphic correlations of synrift and post-rift sedimentary deposits on the Precordillera and on the Texas promontory of Laurentia document initial rifting in the Early Cambrian. Previously published data from synrift plutonic and volcanic rocks in the Wichita and Arbuckle Mountains along the transform-parallel intracratonic Southern Oklahoma fault system inboard from the Ouachita embayment document crystallization ages of 539–530 Ma. New data from synrift volcanic rocks in the Arbuckle Mountains in the eastern part of the Southern Oklahoma fault system yield ages of 539 ± 5 Ma and 536 ± 5 Ma, confirming the age of synrift volcanism.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00800.1","usgsCitation":"Thomas, W., Tucker, R.D., Astini, R.A., and Denison, R.E., 2012, Ages of pre-rift basement and synrift rocks along the conjugate rift and transform margins of the Argintine Precordillera and Laurentia: Geosphere, v. 8, no. 6, p. 1366-1383, https://doi.org/10.1130/GES00800.1.","productDescription":"18 p.","startPage":"1366","endPage":"1383","ipdsId":"IP-038677","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474155,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00800.1","text":"Publisher Index Page"},{"id":270642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270641,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00800.1"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.6,-55.1 ], [ -73.6,-21.8 ], [ -53.6,-21.8 ], [ -53.6,-55.1 ], [ -73.6,-55.1 ] ] ] } } ] }","volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-18","publicationStatus":"PW","scienceBaseUri":"5162956be4b0c25842758cef","contributors":{"authors":[{"text":"Thomas, William A.","contributorId":77438,"corporation":false,"usgs":true,"family":"Thomas","given":"William A.","affiliations":[],"preferred":false,"id":474915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Robert D. 0000-0001-8463-4358 rtucker@usgs.gov","orcid":"https://orcid.org/0000-0001-8463-4358","contributorId":2007,"corporation":false,"usgs":true,"family":"Tucker","given":"Robert","email":"rtucker@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Astini, Ricardo A.","contributorId":48067,"corporation":false,"usgs":true,"family":"Astini","given":"Ricardo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denison, Rodger E.","contributorId":42994,"corporation":false,"usgs":true,"family":"Denison","given":"Rodger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044139,"text":"70044139 - 2012 - Fragilariopsis diatom evolution in Pliocene and Pleistocene Antarctic shelf sediments","interactions":[],"lastModifiedDate":"2018-03-23T14:29:43","indexId":"70044139","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Fragilariopsis diatom evolution in Pliocene and Pleistocene Antarctic shelf sediments","docAbstract":"The late Pliocene – early Pleistocene sediment record in the AND-1B core from the McMurdo Sound, Ross Sea, Antarctica, displays a rich diversity and high abundance of diatoms, including several new morphologies within the genus Fragilariopsis. These new morphologies exhibit similarities to the extinct late Miocene/early Pliocene species Fragilariopsis aurica Gersonde and Fragilariopsis praecurta Gersonde, as well as to the modern sea ice-associated species Fragilariopsis ritscheri Hustedt and Fragilariopsis obliquecostata van Heurck. From the diverse morphologies present, we use light microscopy and scanning electron microscopy to identify and describe the characteristics of three new taxa, Fragilariopsis laqueata Riesselman, Fragilariopsis bohatyi Sjunneskog et Riesselman, and Fragilariopsis robusta Sjunneskog, which are common in the diatom-bearing intervals from ~3.2 to 1.95 Ma. Comparisons with extant and extinct species are made to assess possible environmental affinities, evolutionary relationships, and potential for future biostratigraphic utility. This complex of newmorphologies diversified as conditions cooled during the Pliocene, then went into decline as heavy sea ice conditions of the Pleistocene were established. Only the lineage of F. robusta appears to continue into the late Pleistocene, where it is interpreted to have evolved into F. obliquecostata.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Micropaleontology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","usgsCitation":"Sjunneskog, C., Riesselman, C., Winter, D., and Scherer, R., 2012, Fragilariopsis diatom evolution in Pliocene and Pleistocene Antarctic shelf sediments: Micropaleontology, v. 58, no. 3, p. 273-289.","productDescription":"17 p.","startPage":"273","endPage":"289","ipdsId":"IP-039162","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":272783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,-60.0 ], [ 180.0,-60.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"58","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a08be0e4b0e42455806572","contributors":{"authors":[{"text":"Sjunneskog, Charlotte","contributorId":102765,"corporation":false,"usgs":true,"family":"Sjunneskog","given":"Charlotte","email":"","affiliations":[],"preferred":false,"id":474867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":474864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winter, Diane","contributorId":79377,"corporation":false,"usgs":true,"family":"Winter","given":"Diane","email":"","affiliations":[],"preferred":false,"id":474866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scherer, Reed","contributorId":62907,"corporation":false,"usgs":true,"family":"Scherer","given":"Reed","email":"","affiliations":[],"preferred":false,"id":474865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044395,"text":"70044395 - 2012 - Strontium","interactions":[],"lastModifiedDate":"2013-05-06T13:21:50","indexId":"70044395","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Strontium","docAbstract":"In 2011, U.S. apparent consumption of strontium (contained in celestite and manufactured strontium compounds) increased markedly to 18.4 kt (20,300 st) from 10.4 kt (11,500 st) in 2010. Gross weight of imports was 34.4 kt (38,000 st), of which 76 percent originated from Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Strontium: Mining Engineering, v. 64, no. 6, p. 91-91.","productDescription":"1 p.","startPage":"91","endPage":"91","ipdsId":"IP-037363","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5188d4e5e4b023d2d75b9a91","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535450,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042418,"text":"70042418 - 2012 - Crotalus molossus molossus (Northern Black-tailed Rattlesnake): diet","interactions":[],"lastModifiedDate":"2013-04-22T14:06:15","indexId":"70042418","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Crotalus molossus molossus (Northern Black-tailed Rattlesnake): diet","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SSAR","publisherLocation":"http://ssarherps.org/","usgsCitation":"Loughran, C.L., Nowak, E.M., and Parker, R.W., 2012, Crotalus molossus molossus (Northern Black-tailed Rattlesnake): diet: Herpetological Review, v. 43, p. 145-145.","productDescription":"1 p.","startPage":"145","endPage":"145","ipdsId":"IP-030090","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":271370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51765be7e4b0f989f99e00e3","contributors":{"authors":[{"text":"Loughran, Caleb L.","contributorId":26599,"corporation":false,"usgs":true,"family":"Loughran","given":"Caleb","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Erica M.","contributorId":28509,"corporation":false,"usgs":true,"family":"Nowak","given":"Erica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Robert W.","contributorId":86250,"corporation":false,"usgs":true,"family":"Parker","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":471497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042441,"text":"70042441 - 2012 - Crotalus cerberus (Arizona black rattlesnake): diet","interactions":[],"lastModifiedDate":"2013-04-22T13:55:00","indexId":"70042441","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Crotalus cerberus (Arizona black rattlesnake): diet","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SSAR","publisherLocation":"http://ssarherps.org/","usgsCitation":"Loughran, C.L., Nowak, E.M., and Parker, R.W., 2012, Crotalus cerberus (Arizona black rattlesnake): diet: Herpetological Review, v. 43, p. 144-145.","productDescription":"2 p.","startPage":"144","endPage":"145","ipdsId":"IP-043126","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":271369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51765be6e4b0f989f99e00df","contributors":{"authors":[{"text":"Loughran, Caleb L.","contributorId":26599,"corporation":false,"usgs":true,"family":"Loughran","given":"Caleb","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Erica M.","contributorId":28509,"corporation":false,"usgs":true,"family":"Nowak","given":"Erica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Robert W.","contributorId":86250,"corporation":false,"usgs":true,"family":"Parker","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":471538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044791,"text":"70044791 - 2012 - Borates","interactions":[],"lastModifiedDate":"2013-04-16T10:42:15","indexId":"70044791","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Borates","docAbstract":"Four minerals represent 90 percent of the borates used by industry worldwide — the sodium borates, tincal and kernite; the calcium borate, colemanite; and the sodium-calcium borate, ulexite.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Crangle, R., 2012, Borates: Mining Engineering, v. 64, no. 6, p. 39-40.","productDescription":"2 p.","startPage":"39","endPage":"40","ipdsId":"IP-036676","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e72e6e4b00154e4368bb8","contributors":{"authors":[{"text":"Crangle, R.D. Jr.","contributorId":88241,"corporation":false,"usgs":true,"family":"Crangle","given":"R.D.","suffix":"Jr.","affiliations":[],"preferred":false,"id":476319,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044814,"text":"70044814 - 2012 - Magnesium compounds","interactions":[],"lastModifiedDate":"2013-04-28T21:22:00","indexId":"70044814","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Magnesium compounds","docAbstract":"Seawater and natural brines accounted for about 57 percent of magnesium compounds produced in the United States in 2011. Dead-burned magnesia was produced by Martin Marietta Magnesia Specialties LLC from well brines in Michigan. Caustic-calcined magnesia was recovered from seawater by Premier Magnesia LLC in Florida, from well brines in Michigan by Martin Marietta and from magnesite in Nevada by Premier Magnesia. Intrepid Potash Wendover LLC and Great Salt Lake Minerals Corp. recovered magnesium chloride brines from the Great Salt Lake in Utah. Magnesium hydroxide was produced from seawater by SPI Pharma Inc. in Delaware and Premier Magnesia in Florida, and by Martin Marietta from its brine operation in Michigan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Kramer, D., 2012, Magnesium compounds: Mining Engineering, v. 64, no. 6, p. 73-74.","productDescription":"2 p.","startPage":"73","endPage":"74","ipdsId":"IP-020119","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517e44ede4b0eff6bc0031e1","contributors":{"authors":[{"text":"Kramer, D.A.","contributorId":70187,"corporation":false,"usgs":true,"family":"Kramer","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":476356,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044811,"text":"70044811 - 2012 - Mineral resource of the month: aluminum","interactions":[],"lastModifiedDate":"2013-05-08T17:08:15","indexId":"70044811","displayToPublicDate":"2013-01-01T00:00:00","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: aluminum","docAbstract":"The article offers information on aluminum, a mineral resource which is described as the third-most abundant element in Earth's crust. According to the article, aluminum is the second-most used metal. Hans Christian Oersted, a Danish chemist, was the first to isolate aluminum in the laboratory. Aluminum is described as lightweight, corrosion-resistant and an excellent conductor of electricity and heat.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Bray, E.L., 2012, Mineral resource of the month: aluminum: Earth, v. 57, no. 7, p. 25-25.","productDescription":"1 p.","startPage":"25","endPage":"25","ipdsId":"IP-037125","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e6e4b0037667dbc806","contributors":{"authors":[{"text":"Bray, E. Lee lbray@usgs.gov","contributorId":39903,"corporation":false,"usgs":true,"family":"Bray","given":"E.","email":"lbray@usgs.gov","middleInitial":"Lee","affiliations":[],"preferred":false,"id":476354,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044786,"text":"70044786 - 2012 - Rare earths, the lanthanides, yttrium and scandium","interactions":[],"lastModifiedDate":"2013-05-05T16:44:01","indexId":"70044786","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rare earths, the lanthanides, yttrium and scandium","docAbstract":"In 2011, rare earths were recovered from bastnasite concentrates at the Mountain Pass Mine in California. Consumption of refined rare-earth products decreased in 2011 from 2010. U.S. rare-earth imports originated primarily from China, with lesser amounts from Austria, Estonia, France and Japan. The United States imported all of its demand for yttrium metal and yttrium compounds, with most of it originating from China. Scandium was imported in various forms and processed domestically.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bedinger, G., and Bleiwas, D., 2012, Rare earths, the lanthanides, yttrium and scandium: Mining Engineering, v. 64, no. 6, p. 86-88.","productDescription":"3 p.","startPage":"86","endPage":"88","ipdsId":"IP-037124","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51877f6ce4b078fc9c244bc7","contributors":{"authors":[{"text":"Bedinger, G.","contributorId":11921,"corporation":false,"usgs":true,"family":"Bedinger","given":"G.","affiliations":[],"preferred":false,"id":476312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bleiwas, D.","contributorId":103553,"corporation":false,"usgs":true,"family":"Bleiwas","given":"D.","email":"","affiliations":[],"preferred":false,"id":476313,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043331,"text":"70043331 - 2012 - A graphical method to evaluate predominant geochemical processes occurring in groundwater systems for radiocarbon dating","interactions":[],"lastModifiedDate":"2018-03-21T15:12:07","indexId":"70043331","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"A graphical method to evaluate predominant geochemical processes occurring in groundwater systems for radiocarbon dating","docAbstract":"A graphical method is described for identifying geochemical reactions needed in the interpretation of radiocarbon age in groundwater systems. Graphs are constructed by plotting the measured <sup>14</sup>C, δ<sup>13</sup>C, and concentration of dissolved inorganic carbon and are interpreted according to specific criteria to recognize water samples that are consistent with a wide range of processes, including geochemical reactions, carbon isotopic exchange, <sup>14</sup>C decay, and mixing of waters. The graphs are used to provide a qualitative estimate of radiocarbon age, to deduce the hydrochemical complexity of a groundwater system, and to compare samples from different groundwater systems. Graphs of chemical and isotopic data from a series of previously-published groundwater studies are used to demonstrate the utility of the approach. Ultimately, the information derived from the graphs is used to improve geochemical models for adjustment of radiocarbon ages in groundwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elseveir","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2012.05.004","usgsCitation":"Han, L., Plummer, N., and Aggarwal, P., 2012, A graphical method to evaluate predominant geochemical processes occurring in groundwater systems for radiocarbon dating: Chemical Geology, v. 318-319, p. 88-112, https://doi.org/10.1016/j.chemgeo.2012.05.004.","productDescription":"25","startPage":"88","endPage":"112","ipdsId":"IP-037844","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":268418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268417,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.05.004"}],"volume":"318-319","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49e7e4b0b290850ef736","contributors":{"authors":[{"text":"Han, Liang-Feng","contributorId":101537,"corporation":false,"usgs":true,"family":"Han","given":"Liang-Feng","affiliations":[],"preferred":false,"id":473399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aggarwal, Pradeep","contributorId":66143,"corporation":false,"usgs":true,"family":"Aggarwal","given":"Pradeep","affiliations":[],"preferred":false,"id":473398,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043437,"text":"70043437 - 2012 - Evaluation of nature-like and technical fishways for the passage of alewives at two coastal streams in New England","interactions":[],"lastModifiedDate":"2023-06-28T18:02:20.761588","indexId":"70043437","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of nature-like and technical fishways for the passage of alewives at two coastal streams in New England","docAbstract":"Nature-like fishways have been designed with the intent to reconnect river corridors and provide passage for all species occurring in a system. The approach is gaining popularity both in Europe and North America, but performance of these designs has not been quantitatively evaluated in a field setting for any North American species. Two nature-like fishways and three technical fishways in New England were evaluated for passage of anadromous adult alewives Alosa pseudoharengus by using passive integrated transponder (PIT) telemetry. A perturbation boulder rock ramp (32 m long; 4.2% slope) constructed in Town Brook (Plymouth, Massachusetts) passed 94% of the fish that made passage attempts, with most fish ascending the ramp in less than 22 min. In the East River (Guilford, Connecticut), a step-pool bypass design (48 m long; 7.1% slope) passed only 40% of attempting fish, with a median transit time of 75 min. In Town Brook, a technical pool-and-weir fishway (14 m long; 14.3% slope) exhibited poor entry and poor passage for the fish. In contrast, in the East River, two technical steeppass fishways (3 m long; 29.6% and 9.6% slopes) passed the majority of available fish, although one of these steeppass fishways may have lacked sufficient flow to attract fish to the entrance. In both Town Brook and the East River, tagged fish passed rapidly downstream through all fishways after spawning. In the East River, the amount of time fish spent in the spawning habitat before migrating downstream ranged from 1 to 41 d. These studies demonstrate that some nature-like and technical fishway designs can effectively facilitate passage of alewives, but a fishway's location in relation to a spillway is important, and further evaluations are required to more precisely identify the influence of the vertical drop per pool and the specific local hydraulics on alewife behaviors and passage performance.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.683469","usgsCitation":"Franklin, A.E., Haro, A., Castro-Santos, T.R., and Noreika, J., 2012, Evaluation of nature-like and technical fishways for the passage of alewives at two coastal streams in New England: Transactions of the American Fisheries Society, v. 141, no. 3, p. 624-637, https://doi.org/10.1080/00028487.2012.683469.","productDescription":"14 p.","startPage":"624","endPage":"637","ipdsId":"IP-014329","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":274067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.73,40.95 ], [ -73.73,47.46 ], [ -66.89,47.46 ], [ -66.89,40.95 ], [ -73.73,40.95 ] ] ] } } ] }","volume":"141","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-09","publicationStatus":"PW","scienceBaseUri":"51c59e33e4b0c89b8f120e2e","contributors":{"authors":[{"text":"Franklin, Abigail E.","contributorId":46864,"corporation":false,"usgs":true,"family":"Franklin","given":"Abigail","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":473580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haro, Alex 0000-0002-7188-9172","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":37223,"corporation":false,"usgs":true,"family":"Haro","given":"Alex","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noreika, John","contributorId":27774,"corporation":false,"usgs":true,"family":"Noreika","given":"John","affiliations":[],"preferred":false,"id":473577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045331,"text":"70045331 - 2012 - Modeling species invasions in Ecopath with Ecosim: an evaluation using Laurentian Great Lakes models","interactions":[],"lastModifiedDate":"2013-06-28T09:05:31","indexId":"70045331","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling species invasions in Ecopath with Ecosim: an evaluation using Laurentian Great Lakes models","docAbstract":"Invasive species affect the structure and processes of ecosystems they invade. Invasive species have been particularly relevant to the Laurentian Great Lakes, where they have played a part in both historical and recent changes to Great Lakes food webs and the fisheries supported therein. There is increased interest in understanding the effects of ecosystem changes on fisheries within the Great Lakes, and ecosystem models provide an essential tool from which this understanding can take place. A commonly used model for exploring fisheries management questions within an ecosystem context is the Ecopath with Ecosim (EwE) modeling software. Incorporating invasive species into EwE models is a challenging process, and descriptions and comparisons of methods for modeling species invasions are lacking. We compared four methods for incorporating invasive species into EwE models for both Lake Huron and Lake Michigan based on the ability of each to reproduce patterns in observed data time series. The methods differed in whether invasive species biomass was forced in the model, the initial level of invasive species biomass at the beginning of time dynamic simulations, and the approach to cause invasive species biomass to increase at the time of invasion. The overall process of species invasion could be reproduced by all methods, but fits to observed time series varied among the methods and models considered. We recommend forcing invasive species biomass when model objectives are to understand ecosystem impacts in the past and when time series of invasive species biomass are available. Among methods where invasive species time series were not forced, mediating the strength of predator–prey interactions performed best for the Lake Huron model, but worse for the Lake Michigan model. Starting invasive species biomass at high values and then artificially removing biomass until the time of invasion performed well for both models, but was more complex than starting invasive species biomass at low values. In general, for understanding the effect of invasive species on future fisheries management actions, we recommend initiating invasive species biomass at low levels based on the greater simplicity and realism of the method compared to others.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2012.08.015","usgsCitation":"Langseth, B.J., Rogers, M., and Zhang, H., 2012, Modeling species invasions in Ecopath with Ecosim: an evaluation using Laurentian Great Lakes models: Ecological Modelling, v. 247, p. 251-261, https://doi.org/10.1016/j.ecolmodel.2012.08.015.","productDescription":"11 p.","startPage":"251","endPage":"261","ipdsId":"IP-040104","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":274287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.08.015"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.45 ], [ -76.3,48.45 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"247","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ceb061e4b044272b8e892e","contributors":{"authors":[{"text":"Langseth, Brian J.","contributorId":60934,"corporation":false,"usgs":true,"family":"Langseth","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark","contributorId":26955,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","affiliations":[],"preferred":false,"id":477242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Hongyan","contributorId":66153,"corporation":false,"usgs":true,"family":"Zhang","given":"Hongyan","email":"","affiliations":[],"preferred":false,"id":477244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041292,"text":"70041292 - 2012 - Modeling the formation of porphyry-copper ores","interactions":[],"lastModifiedDate":"2019-05-30T12:37:17","indexId":"70041292","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the formation of porphyry-copper ores","docAbstract":"Porphyry-copper ore systems, the source of much of the world's copper and molybdenum, form when metal-bearing fluids are expelled from shallow, degassing magmas. On page 1613 of this issue, Weis et al. (1) demonstrate that self-organizing processes focus metal deposition. Specifically, their simulation studies indicate that ores develop as consequences of dynamic variations in rock permeability driven by injection of volatile species from rising magmas. Scenarios with a static permeability structure could not reproduce key field observations, whereas dynamic permeability responses to magmatic-fluid injection localized a metal-precipitation front where enrichment by a factor of 103 could be achieved [for an overview of their numerical-simulation model CSMP++, see (2)].","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AAAS","doi":"10.1126/science.1231706","usgsCitation":"Ingebritsen, S.E., 2012, Modeling the formation of porphyry-copper ores: Science, v. 338, no. 6114, p. 1551-1552, https://doi.org/10.1126/science.1231706.","productDescription":"2 p.","startPage":"1551","endPage":"1552","ipdsId":"IP-041919","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":274352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1231706"}],"volume":"338","issue":"6114","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4ebe4b0ca1848338a6b","contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469489,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046460,"text":"70046460 - 2012 - Bulk rock composition and geochemistry of olivine-hosted melt inclusions in the Grey Porri Tuff and selected lavas of the Monte dei Porri volcano, Salina, Aeolian Islands, southern Italy","interactions":[],"lastModifiedDate":"2013-06-12T14:32:30","indexId":"70046460","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1203,"text":"Central European Journal of Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Bulk rock composition and geochemistry of olivine-hosted melt inclusions in the Grey Porri Tuff and selected lavas of the Monte dei Porri volcano, Salina, Aeolian Islands, southern Italy","docAbstract":"The Aeolian Islands are an arcuate chain of submarine seamounts and volcanic islands, lying just north of Sicily in southern Italy. The second largest of the islands, Salina, exhibits a wide range of compositional variation in its erupted products, from basaltic lavas to rhyolitic pumice. The Monte dei Porri eruptions occurred between 60 ka and 30 ka, following a period of approximately 60,000 years of repose. The bulk rock composition of the Monte dei Porri products range from basaltic-andesite scoria to andesitic pumice in the Grey Porri Tuff (GPT), with the Monte dei Porri lavas having basaltic-andesite compositions. The typical mineral assemblage of the GPT is calcic plagioclase, clinopyroxene (augite), olivine (Fo<sub>72−84</sub>) and orthopyroxene (enstatite) ± amphibole and Ti-Fe oxides. The lava units show a similar mineral assemblage, but contain lower Fo olivines (Fo<sub>57−78</sub>). The lava units also contain numerous glomerocrysts, including an unusual variety that contains quartz, K-feldspar and mica. Melt inclusions (MI) are ubiquitous in all mineral phases from all units of the Monte dei Porri eruptions; however, only data from olivine-hosted MI in the GPT are reported here. Compositions of MI in the GPT are typically basaltic (average SiO<sub>2</sub> of 49.8 wt %) in the pumices and basaltic-andesite (average SiO<sub>2</sub> of 55.6 wt %) in the scoriae and show a bimodal distribution in most compositional discrimination plots. The compositions of most of the MI in the scoriae overlap with bulk rock compositions of the lavas. Petrological and geochemical evidence suggest that mixing of one or more magmas and/or crustal assimilation played a role in the evolution of the Monte dei Porri magmatic system, especially the GPT. Analyses of the more evolved mineral phases are required to better constrain the evolution of the magma.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Central European Journal of Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.2478/s13533-011-0066-7","usgsCitation":"Doherty, A.L., Bodnar, R.J., De Vivo, B., Bohrson, W.A., Belkin, H.E., Messina, A., and Tracy, R.J., 2012, Bulk rock composition and geochemistry of olivine-hosted melt inclusions in the Grey Porri Tuff and selected lavas of the Monte dei Porri volcano, Salina, Aeolian Islands, southern Italy: Central European Journal of Geosciences, v. 4, no. 2, p. 338-355, https://doi.org/10.2478/s13533-011-0066-7.","productDescription":"18 p.","startPage":"338","endPage":"355","ipdsId":"IP-037100","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":474297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2478/s13533-011-0066-7","text":"Publisher Index Page"},{"id":273654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273653,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2478/s13533-011-0066-7"}],"country":"Italy","otherGeospatial":"Grey Porri Tuff;Monte Dei Porri;Salina;Aeolian Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 14.795687,38.534298 ], [ 14.795687,38.584369 ], [ 14.874818,38.584369 ], [ 14.874818,38.534298 ], [ 14.795687,38.534298 ] ] ] } } ] }","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-05-13","publicationStatus":"PW","scienceBaseUri":"51b99863e4b07b9df6070f4d","contributors":{"authors":[{"text":"Doherty, Angela L.","contributorId":90625,"corporation":false,"usgs":true,"family":"Doherty","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodnar, Robert J.","contributorId":61540,"corporation":false,"usgs":true,"family":"Bodnar","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Vivo, Benedetto","contributorId":85202,"corporation":false,"usgs":true,"family":"De Vivo","given":"Benedetto","affiliations":[],"preferred":false,"id":479691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohrson, Wendy A.","contributorId":55024,"corporation":false,"usgs":true,"family":"Bohrson","given":"Wendy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belkin, Harvey E. 0000-0001-7879-6529 hbelkin@usgs.gov","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":581,"corporation":false,"usgs":true,"family":"Belkin","given":"Harvey","email":"hbelkin@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Messina, Antonia","contributorId":7293,"corporation":false,"usgs":true,"family":"Messina","given":"Antonia","email":"","affiliations":[],"preferred":false,"id":479687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tracy, Robert J.","contributorId":46865,"corporation":false,"usgs":true,"family":"Tracy","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479688,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044908,"text":"70044908 - 2012 - Potash","interactions":[],"lastModifiedDate":"2013-05-05T16:31:34","indexId":"70044908","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Potash","docAbstract":"In 2011, world potash production consumption and sales increased from those of 2010, exceeding levels recorded before the economic downturn in 2008-2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Jasinski, S., 2012, Potash: Mining Engineering, v. 64, no. 6, p. 84-85.","productDescription":"2 p.","startPage":"84","endPage":"85","ipdsId":"IP-028681","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51877f6be4b078fc9c244bbf","contributors":{"authors":[{"text":"Jasinski, S.M.","contributorId":107085,"corporation":false,"usgs":true,"family":"Jasinski","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":476454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045532,"text":"70045532 - 2012 - Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge","interactions":[],"lastModifiedDate":"2013-06-24T10:35:07","indexId":"70045532","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge","docAbstract":"Results are presented of a detailed study into the vadose zone and shallow water table hydrodynamics of a field site in Shropshire, UK. A conceptual model is developed and tested using a range of numerical models, including a modified soil moisture balance model (SMBM) for estimating groundwater recharge in the presence of both diffuse and preferential flow components. Tensiometry reveals that the loamy sand topsoil wets up via macropore flow and subsequent redistribution of moisture into the soil matrix. Recharge does not occur until near-positive pressures are achieved at the top of the sandy glaciofluvial outwash material that underlies the topsoil, about 1 m above the water table. Once this occurs, very rapid water table rises follow. This threshold behaviour is attributed to the vertical discontinuity in the macropore system due to seasonal ploughing of the topsoil, and a lower permeability plough/iron pan restricting matrix flow between the topsoil and the lower outwash deposits. Although the wetting process in the topsoil is complex, a SMBM is shown to be effective in predicting the initiation of preferential flow from the base of the topsoil into the lower outwash horizon. The rapidity of the response at the water table and a water table rise during the summer period while flow gradients in the unsaturated profile were upward suggest that preferential flow is also occurring within the outwash deposits below the topsoil. A variation of the source-responsive model proposed by Nimmo (2010) is shown to reproduce the observed water table dynamics well in the lower outwash horizon when linked to a SMBM that quantifies the potential recharge from the topsoil. The results reveal new insights into preferential flow processes in cultivated soils and provide a useful and practical approach to accounting for preferential flow in studies of groundwater recharge estimation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-9-8455-2012","usgsCitation":"Cuthbert, M., Mackay, R., and Nimmo, J., 2012, Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge: Hydrology and Earth System Sciences, v. 9, p. 8455-8492, https://doi.org/10.5194/hessd-9-8455-2012.","productDescription":"38 p.","startPage":"8455","endPage":"8492","ipdsId":"IP-045040","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-9-8455-2012","text":"Publisher Index Page"},{"id":274092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274091,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-9-8455-2012"}],"country":"United Kingdom","county":"Shropshire County","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a68e4b0a50a6e8f5814","contributors":{"authors":[{"text":"Cuthbert, M.O.","contributorId":94577,"corporation":false,"usgs":true,"family":"Cuthbert","given":"M.O.","email":"","affiliations":[],"preferred":false,"id":477768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mackay, R.","contributorId":43545,"corporation":false,"usgs":true,"family":"Mackay","given":"R.","email":"","affiliations":[],"preferred":false,"id":477766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":477767,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042475,"text":"70042475 - 2012 - Fundamental questions of earthquake statistics, source behavior, and the estimation of earthquake probabilities from possible foreshocks","interactions":[],"lastModifiedDate":"2013-03-04T21:21:49","indexId":"70042475","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Fundamental questions of earthquake statistics, source behavior, and the estimation of earthquake probabilities from possible foreshocks","docAbstract":"Estimates of the probability that an M<sub>L</sub> 4.8 earthquake, which occurred near the southern end of the San Andreas fault on 24 March 2009, would be followed by an M 7 mainshock over the following three days vary from 0.0009 using a Gutenberg–Richter model of aftershock statistics (Reasenberg and Jones, 1989) to 0.04 using a statistical model of foreshock behavior and long‐term estimates of large earthquake probabilities, including characteristic earthquakes (Agnew and Jones, 1991). I demonstrate that the disparity between the existing approaches depends on whether or not they conform to Gutenberg–Richter behavior. While Gutenberg–Richter behavior is well established over large regions, it could be violated on individual faults if they have characteristic earthquakes or over small areas if the spatial distribution of large‐event nucleations is disproportional to the rate of smaller events. I develop a new form of the aftershock model that includes characteristic behavior and combines the features of both models. This new model and the older foreshock model yield the same results when given the same inputs, but the new model has the advantage of producing probabilities for events of all magnitudes, rather than just for events larger than the initial one. Compared with the aftershock model, the new model has the advantage of taking into account long‐term earthquake probability models. Using consistent parameters, the probability of an M 7 mainshock on the southernmost San Andreas fault is 0.0001 for three days from long‐term models and the clustering probabilities following the M<sub>L</sub> 4.8 event are 0.00035 for a Gutenberg–Richter distribution and 0.013 for a characteristic‐earthquake magnitude–frequency distribution. Our decisions about the existence of characteristic earthquakes and how large earthquakes nucleate have a first‐order effect on the probabilities obtained from short‐term clustering models for these large events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120090184","usgsCitation":"Michael, A.J., 2012, Fundamental questions of earthquake statistics, source behavior, and the estimation of earthquake probabilities from possible foreshocks: Bulletin of the Seismological Society of America, v. 102, no. 6, p. 2547-2562, https://doi.org/10.1785/0120090184.","productDescription":"16 p.","startPage":"2547","endPage":"2562","ipdsId":"IP-014815","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":268735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268734,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090184"}],"volume":"102","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-12-01","publicationStatus":"PW","scienceBaseUri":"5135d079e4b03b8ec4025b51","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":471609,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042472,"text":"70042472 - 2012 - Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition","interactions":[],"lastModifiedDate":"2013-02-28T14:55:35","indexId":"70042472","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition","docAbstract":"A study conducted in Lake Huron during October 1998–June 2001 found that strains of Great Lakes-origin (GLO) lake trout <i>Salvelinus namaycush</i> occupied significantly higher temperatures than did Finger Lakes-origin (FLO; New York) lake trout based on data from archival (or data storage) telemetry tags that recorded only temperature. During 2002 and 2003, we implanted archival tags that recorded depth as well as temperature in GLO and FLO lake trout in Lake Huron. Data subsequently recorded by those tags spanned 2002–2005. Based on those data, we examined whether temperatures and depths occupied by GLO and FLO lake trout differed during 2002–2005. Temperatures occupied during those years were also compared with occupied temperatures reported for 1998–2001, before a substantial decline in prey fish biomass. Temperatures occupied by GLO lake trout were again significantly higher than those occupied by FLO lake trout. This result supports the conclusion of the previous study. The GLO lake trout also occupied significantly shallower depths than FLO lake trout. In 2002–2005, both GLO and FLO lake trout occupied significantly lower temperatures than they did in 1998–2001. Aside from the sharp decline in prey fish biomass between study periods, the formerly abundant pelagic alewife Alosa pseudoharengus virtually disappeared and the demersal round goby Neogobius melanostomus invaded the lake and became locally abundant. The lower temperatures occupied by lake trout in Lake Huron during 2002–2005 may be attributable to changes in the composition of the prey fish community, food scarcity (i.e., a retreat to cooler water could increase conversion efficiency), or both.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Online","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2011.651069","usgsCitation":"Bergstedt, R.A., Argyle, R.L., Krueger, C., and Taylor, W., 2012, Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition: Transactions of the American Fisheries Society, v. 141, no. 2, p. 263-274, https://doi.org/10.1080/00028487.2011.651069.","productDescription":"12 p.","startPage":"263","endPage":"274","ipdsId":"IP-019052","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268586,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.651069"},{"id":268589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.71,42.92 ], [ -84.71,46.04 ], [ -81.63,46.04 ], [ -81.63,42.92 ], [ -84.71,42.92 ] ] ] } } ] }","volume":"141","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-14","publicationStatus":"PW","scienceBaseUri":"51308a7be4b04c194073adaf","contributors":{"authors":[{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Argyle, Ray L.","contributorId":9993,"corporation":false,"usgs":true,"family":"Argyle","given":"Ray","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":471606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":471605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040456,"text":"70040456 - 2012 - A tale of two land uses in the American West: rural residential growth and energy development","interactions":[],"lastModifiedDate":"2013-03-18T16:58:21","indexId":"70040456","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"A tale of two land uses in the American West: rural residential growth and energy development","docAbstract":"This paper describes a spatiotemporal land use map for a rural county in the western United States. Sublette County, Wyoming has undergone recent land use change in the form of heightened rural residential development on private land and increased energy development on both public and private land. In this study we integrate energy production data, population census data, ownership parcel data, and a series of Landsat Thematic Mapper and Enhanced Thematic Mapper scenes (over a 25-year period) to create a map that illustrates the changing landscape. Spatial change on the landscape is mapped at 30 square meters, congruent with a Landsat pixel. Sublette County has a wealth of wildlife and associated habitat which is affected by both types of growth. While we do not attempt to quantify the effect of disturbance on wildlife species, we believe our results can provide important baseline data that can be incorporated into land use planning and ecological-wildlife research at the landscape scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Maps","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/17445647.2012.745381","usgsCitation":"Assal, T.J., and Montag, J.M., 2012, A tale of two land uses in the American West: rural residential growth and energy development: Journal of Maps, v. 8, no. 4, p. 327-333, https://doi.org/10.1080/17445647.2012.745381.","productDescription":"7 p.","startPage":"327","endPage":"333","ipdsId":"IP-041648","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269681,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/17445647.2012.745381"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-19","publicationStatus":"PW","scienceBaseUri":"51483763e4b022dd171afdbf","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montag, Jessica M.","contributorId":105007,"corporation":false,"usgs":true,"family":"Montag","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173871,"text":"70173871 - 2012 - Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets","interactions":[],"lastModifiedDate":"2016-06-15T15:15:22","indexId":"70173871","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets","docAbstract":"<p><span>Fish bioenergetics models based on natural prey items have been widely used to address research and management questions. However, few attempts have been made to evaluate and apply bioenergetics models to hatchery-reared fish receiving commercial feeds that contain substantially higher energy densities than natural prey. In this study, we evaluated a bioenergetics model for age-0 largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>reared on four commercial feeds. Largemouth bass (</span><i>n</i><span>&nbsp;&asymp; 3,504) were reared for 70 d at 25&deg;C in sixteen 833-L circular tanks connected in parallel to a recirculation system. Model performance was evaluated using error components (mean, slope, and random) derived from decomposition of the mean square error obtained from regression of observed on predicted values. Mean predicted consumption was only 8.9% lower than mean observed consumption and was similar to error rates observed for largemouth bass consuming natural prey. Model evaluation showed that the 97.5% joint confidence region included the intercept of 0 (&minus;0.43 &plusmn; 3.65) and slope of 1 (1.08 &plusmn; 0.20), which indicates the model accurately predicted consumption. Moreover model error was similar among feeds (</span><i>P</i><span>&nbsp;= 0.98), and most error was probably attributable to sampling error (unconsumed feed), underestimated predator energy densities, or consumption-dependent error, which is common in bioenergetics models. This bioenergetics model could provide a valuable tool in hatchery production of largemouth bass. Furthermore, we believe that bioenergetics modeling could be useful in aquaculture production, particularly for species lacking historical hatchery constants or conventional growth models.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/15222055.2012.675998","usgsCitation":"Csargo, I.J., Brown, M.L., and Chipps, S.R., 2012, Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets: North American Journal of Aquaculture, v. 74, no. 3, p. 352-359, https://doi.org/10.1080/15222055.2012.675998.","productDescription":"8 p.","startPage":"352","endPage":"359","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034017","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69c3","contributors":{"authors":[{"text":"Csargo, Isak J.","contributorId":171858,"corporation":false,"usgs":false,"family":"Csargo","given":"Isak","email":"","middleInitial":"J.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Michael L.","contributorId":171856,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045588,"text":"70045588 - 2012 - Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","interactions":[],"lastModifiedDate":"2021-01-05T18:01:12.044462","indexId":"70045588","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","docAbstract":"We modeled the hydrology of basins draining into the northern portion of the San Francisco Bay Estuary (North San Pablo Bay) using a regional water balance model (Basin Characterization Model; BCM) to estimate potential effects of climate change at the watershed scale. The BCM calculates water balance components, including runoff, recharge, evapotranspiration, soil moisture, and stream flow, based on climate, topography, soils and underlying geology, and the solar-driven energy balance. We downscaled historical and projected precipitation and air temperature values derived from weather stations and global General Circulation Models (GCMs) to a spatial scale of 270 m. We then used the BCM to estimate hydrologic response to climate change for four scenarios spanning this century (2000–2100). Historical climate patterns show that Marin’s coastal regions are typically on the order of 2 °C cooler and receive five percent more precipitation compared to the inland valleys of Sonoma and Napa because of marine influences and local topography. By the last 30 years of this century, North Bay scenarios project average minimum temperatures to increase by 1.0 °C to 3.1 °C and average maximum temperatures to increase by 2.1 °C to 3.4 °C (in comparison to conditions experienced over the last 30 years, 1981–2010). Precipitation projections for the 21st century vary between GCMs (ranging from 2 to 15% wetter than the 20th-century average). Temperature forcing increases the variability of modeled runoff, recharge, and stream discharge, and shifts hydrologic cycle timing. For both high- and low-rainfall scenarios, by the close of this century warming is projected to amplify late-season climatic water deficit (a measure of drought stress on soils) by 8% to 21%. Hydrologic variability within a single river basin demonstrated at the scale of subwatersheds may prove an important consideration for water managers in the face of climate change. Our results suggest that in arid environments characterized by high topo-climatic variability, land and water managers need indicators of local watershed hydrology response to complement regional temperature and precipitation estimates. Our results also suggest that temperature forcing may generate greater drought stress affecting soils and stream flows than can be estimated by variability in precipitation alone.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss4art2","usgsCitation":"Micheli, E., Flint, L., Flint, A., Weiss, S., and Kennedy, M., 2012, Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study: San Francisco Estuary and Watershed Science, v. 10, no. 4, 31 p., https://doi.org/10.15447/sfews.2012v10iss4art2.","productDescription":"31 p.","ipdsId":"IP-028558","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":474239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss4art2","text":"Publisher Index Page"},{"id":381884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,38.5 ], [ -121.5,38.5 ], [ -121.5,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a8e","contributors":{"authors":[{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":477892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":477891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":477889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":477888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Morgan","contributorId":77446,"corporation":false,"usgs":true,"family":"Kennedy","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":477890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}