{"pageNumber":"79","pageRowStart":"1950","pageSize":"25","recordCount":10450,"records":[{"id":70204614,"text":"70204614 - 2019 - Hydrous heating experiments at 130°C yield insights into the occurrence of hydrogen sulfide and light alkanes in natural gas reservoirs","interactions":[],"lastModifiedDate":"2019-08-29T12:01:55","indexId":"70204614","displayToPublicDate":"2019-07-31T10:57:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hydrous heating experiments at 130°C yield insights into the occurrence of hydrogen sulfide and light alkanes in natural gas reservoirs","docAbstract":"<p><span>Improved understanding of the origin of produced volatiles from conventional reservoirs and unconventional source rocks is critical for petroleum exploration and production. A series of hydrous heating experiments using two immature Type II siliciclastic source rocks, Pennsylvanian Turner Mine shale (TMS) and Devonian New Albany Shale (NAS), at 130 °C over one to two years were conducted to assess gas generation at low temperature. Elemental sulfur (ES) was added to the NAS samples to evaluate the role of sulfur on thermochemical sulfate reduction (TSR). The produced volatile composition was investigated in situ using Raman spectroscopy at the end of the heating experiments. Results show that the two source rocks yield different types and concentrations of volatiles. Only CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>&nbsp;were detected following hydrous heating of the TMS source rock in contrast to CH</span><sub>4</sub><span>, C</span><sub>2</sub><span>H</span><sub>6</sub><span>, C</span><sub>3</sub><span>H</span><sub>8</sub><span>, and CO</span><sub>2</sub><span>&nbsp;which were observed in experiments using NAS. Variations in the produced volatiles are likely the result of compositional differences within the respective source rock organic matter. Experiments involving ES show strong H</span><sub>2</sub><span>S signals that are likely due to the formation of H</span><sub>2</sub><span>S from the reaction of ES with water at 130 °C. H</span><sub>2</sub><span>S signals correlate with a greater relative concentration of CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>&nbsp;compared to experiments where ES was not added, on a time-normalized basis. The correlation between the presence of H</span><sub>2</sub><span>S and an increase in CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>&nbsp;concentration could indicate the occurrence of TSR. Here we propose that H</span><sub>2</sub><span>S in siliciclastic shale can be generated in the presence of ES at low temperatures via both disproportionation of ES into H</span><sub>2</sub><span>S and SO</span><sub>4</sub><sup>2–</sup><span>, and TSR. Our findings from this study provide experimental evidence that may aid efforts to interpret the origin of H</span><sub>2</sub><span>S in low-temperature sedimentary basins.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2019.103901","usgsCitation":"Alrowaie, M., Jubb, A., Schimmelmann, A., Mastalerz, M., and Pratt, L., 2019, Hydrous heating experiments at 130°C yield insights into the occurrence of hydrogen sulfide and light alkanes in natural gas reservoirs: Organic Geochemistry, v. 137, 103901, 8 p., https://doi.org/10.1016/j.orggeochem.2019.103901.","productDescription":"103901, 8 p.","ipdsId":"IP-105974","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":366290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":767777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastalerz, M.","contributorId":217905,"corporation":false,"usgs":false,"family":"Mastalerz","given":"M.","affiliations":[{"id":33640,"text":"Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":767778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratt, L.M.","contributorId":217906,"corporation":false,"usgs":false,"family":"Pratt","given":"L.M.","email":"","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":767779,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216348,"text":"70216348 - 2019 - Fire severity and changing composition of forest understory plant communities","interactions":[],"lastModifiedDate":"2020-11-12T19:57:30.094224","indexId":"70216348","displayToPublicDate":"2019-07-30T13:52:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Fire severity and changing composition of forest understory plant communities","docAbstract":"<h3 id=\"jvs12796-sec-0001-title\" class=\"article-section__sub-title section1\">Questions</h3><p>Gradients of fire severity in dry conifer forests can be associated with variation in understory floristic composition. Recent work in dry conifer forests in California, USA, has suggested that more severely burned stands contain more thermophilic taxa (those associated with warmer and drier conditions), and that forest disturbance may therefore accelerate floristic shifts already underway due to climate change. However, it remains unknown how rapidly thermophilic taxa shifts occur following disturbance, how long such shifts are likely to persist, and how different thermophilic post‐disturbance communities are from pre‐disturbance communities.</p><h3 id=\"jvs12796-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Colorado Front Range, USA.</p><h3 id=\"jvs12796-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We investigated these questions using a unique 15‐year vegetation plot dataset that captures pre‐ and post‐fire understory community composition across a gradient of fire severity in dry conifer forests, classifying taxa using the biogeographic affinity concept.</p><h3 id=\"jvs12796-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Thermophilization (defined here as a decrease in the ratio of cool‐mesic taxa to warm‐xeric taxa, based on biogeographic affinity of paleobotanical lineages) was observed as early as one&nbsp;year post‐fire for all fire severity classes, but was stronger at sites that burned at higher severity. The ratio of cool‐mesic to warm‐xeric taxa recovered to pre‐fire levels within 10&nbsp;years in stands that burned at low severity, but not in stands that burned at moderate or high severity. The process of thermophilization after high‐severity fire appears to be driven primarily by the gain of warm‐xeric taxa that were absent before the fire, but losses of cool‐mesic taxa, which did not return during the duration of the study, also played a role.</p><h3 id=\"jvs12796-sec-0005-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Decreases in canopy cover appear to be a main contributor to understory thermophilization. Fine‐scale heterogeneity in post‐fire forest structure is likely an important driver of floristic diversity, creating the microclimatic variation necessary to maintain floristic refugia for species mal‐adapted to increasingly warm and dry conditions.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12796","usgsCitation":"Stevens, J., Miller, J., and Fornwalt, P.J., 2019, Fire severity and changing composition of forest understory plant communities: Journal of Vegetation Science, v. 30, p. 1099-1109, https://doi.org/10.1111/jvs.12796.","productDescription":"11 p.","startPage":"1099","endPage":"1109","ipdsId":"IP-104215","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.68435668945312,\n              39.10875135935859\n            ],\n            [\n              -105.30532836914062,\n              39.10875135935859\n            ],\n            [\n              -105.30532836914062,\n              39.35659979720227\n            ],\n            [\n              -105.68435668945312,\n              39.35659979720227\n            ],\n            [\n              -105.68435668945312,\n              39.10875135935859\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":804777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jesse","contributorId":147734,"corporation":false,"usgs":false,"family":"Miller","given":"Jesse","email":"","affiliations":[{"id":16916,"text":"Dept. of Zoology, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fornwalt, Paula J.","contributorId":196676,"corporation":false,"usgs":false,"family":"Fornwalt","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":804779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204791,"text":"70204791 - 2019 - Introduction to special issue on gas hydrate in porous media: Linking laboratory and field‐scale phenomena","interactions":[],"lastModifiedDate":"2019-10-09T09:50:21","indexId":"70204791","displayToPublicDate":"2019-07-29T10:37:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to special issue on gas hydrate in porous media: Linking laboratory and field‐scale phenomena","docAbstract":"<p>The proliferation of drilling expeditions focused on characterizing natural gas hydrate as a potential energy resource has spawned widespread interest in gas hydrate reservoir properties and associated porous media phenomena. Between 2017 and 2019, a Special Section of this journal compiled contributed papers elucidating interactions between gas hydrate and sediment based on laboratory, numerical modeling, and field studies. Motivated mostly by field observations in the northern Gulf of Mexico and offshore Japan, several papers focus on the mechanisms for gas hydrate formation and accumulation, particularly with vapor phase gas, not dissolved gas, as the precursor to hydrate. These studies rely on numerical modeling or laboratory experiments using sediment packs or benchtop micromodels. A second focus of the Special Section is the role of fines in inhibiting production of gas from methane hydrate, controlling the distribution of hydrate at a pore scale, and influencing the bulk behavior of seafloor sediments. Other papers fill knowledge gaps related to the physical properties of hydrate-bearing sediments and advance new approaches in coupled thermal-mechanical modeling of these sediments during hydrate dissociation. Finally, one study addresses the long-standing question about the fate of methane hydrate at the molecular level when CO2 is injected into natural reservoirs under hydrate-forming conditions.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1029/2019JB018186","usgsCitation":"Ruppel, C.D., Lee, J.Y., and Pecher, I., 2019, Introduction to special issue on gas hydrate in porous media: Linking laboratory and field‐scale phenomena: Journal of Geophysical Research B: Solid Earth, v. 124, no. 8, p. 7525-7537, https://doi.org/10.1029/2019JB018186.","productDescription":"19 p.","startPage":"7525","endPage":"7537","ipdsId":"IP-109000","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467412,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jb018186","text":"External Repository"},{"id":366596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Joo Yong","contributorId":218160,"corporation":false,"usgs":false,"family":"Lee","given":"Joo","email":"","middleInitial":"Yong","affiliations":[{"id":39769,"text":"KIGAM South Korea","active":true,"usgs":false}],"preferred":false,"id":768493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pecher, Ingo","contributorId":218161,"corporation":false,"usgs":false,"family":"Pecher","given":"Ingo","affiliations":[{"id":39770,"text":"U. of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":768494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205056,"text":"70205056 - 2019 - Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products","interactions":[],"lastModifiedDate":"2019-08-29T09:14:48","indexId":"70205056","displayToPublicDate":"2019-07-29T09:11:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products","docAbstract":"Sparse gauge networks in Sub-Saharan Africa limit our ability to identify changing precipitation extremes with in situ observations. Given the potential for satellite and satellite-gauge precipitation products to help, we investigate how daily gridded gauge and satellite products compare for seven core climate change precipitation indices. According to a new gauge-only product, the Rainfall estimates on a Gridded Network (REGEN), there were notable changes in Sub-Saharan Africa precipitation characteristics between 1950 and 2013 in well-gauged areas. We examine these trends and how these vary for wet, intermediate, and dry areas. For a 31 year period of overlap we compare REGEN data, other gridded products, and three satellite products. Then for 1998-2013 we compare a set of twelve satellite products. Finally, we compare spatial patterns of 1983-2013 trends across all of Sub-Saharan Africa. \nRobust 1950-2013 trends indicate that in well-gauged areas extreme events became wetter, particularly in wet areas. Annual totals decreased due to fewer rain days. Since the 1980s were increases in average precipitation intensity and annual maximum 1-day totals. These trends only represent 15% of Sub-Saharan Africa, however, and only one tenth of the main wet areas. Unfortunately, gauge and satellite products do not provide consensus for wet area trends. A promising result for identifying regional changes is that numerous satellite products do well at interannual variations in precipitation totals and number of rain days- as well as some gauge-only products. Products perform less well for dry spell length and average intensity and worst for annual maximum 1-day totals. TRMM 3B42 and CHIRPS ranked highest for multiple indices. Several products have seemingly unrealistic trends outside of the well-gauged areas that may be due to influence of non-stationary systematic biases.","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ab2cae","usgsCitation":"Harrison, L., Funk, C., and Peterson, P., 2019, Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products: Environmental Research Letters, v. 14, no. 8, 13 p., https://doi.org/10.1088/1748-9326/ab2cae.","productDescription":"13 p.","ipdsId":"IP-108136","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab2cae","text":"Publisher Index Page"},{"id":367052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367037,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab2cae"}],"volume":"14","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Laura","contributorId":192382,"corporation":false,"usgs":false,"family":"Harrison","given":"Laura","email":"","affiliations":[],"preferred":false,"id":769778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":769777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Pete","contributorId":192379,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[],"preferred":false,"id":769779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204507,"text":"70204507 - 2019 - See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae)","interactions":[],"lastModifiedDate":"2019-07-29T17:28:29","indexId":"70204507","displayToPublicDate":"2019-07-27T16:51:20","publicationYear":"2019","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}},"displayTitle":"See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae)","title":"See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae)","docAbstract":"<p>Animals served important roles in the religious cults that proliferated during the Late (ca. 747–332 BCE) and Greco-Roman periods (332 BCE–CE 337) of ancient Egypt. One result was the interment of animal mummies in specialized necropolises distributed throughout the country. Excavation of a rock-tomb that was re-used during the Ptolemaic Period (ca. 309–30 BCE) for the interment of animal mummies at the Djehuty Site (TT 11-12) near Luxor, Egypt, was carried out in early 2018 by a Spanish-Egyptian team sponsored by the Consejo Superior de Investigaciones Científicas, Madrid. The tomb burned sometime after deposition of the mummies, leaving behind abundant disassociated skeletal remains, primarily of avians, but also including two species of shrews (Soricidae): <i>Crocidura olivieri</i> (Lesson, 1827) and <i>C. religiosa</i> (I. Geoffroy Saint-Hilaire, 1826). To investigate possible intraspecific variation in morphology and locomotor function in these two species during the last two millennia, we measured morphological features of individual postcranial bones from the two archaeological samples and calculated indices that have been used to assess locomotor function. We compared the measurements to those from modern <i>C. olivieri</i>, <i>C. religiosa</i>, and <i>C. suaveolens</i> (Pallas, 1811) using principal components analysis, and we compared locomotor indices to those we calculated for the three modern species of Crocidura and to those from nine species of myosoricine shrews. Osteological features of the postcranial skeleton of conspecific Ptolemaic and modern samples of <i>C. olivieri </i>and <i>C. religiosa</i> are generally similar in character and proportion, and, skeletally, these shrews and modern <i>C. suaveolens</i> are consistent with soricids having a primarily ambulatory locomotor mode. One exception is the deltopectoral crest of the humerus, which appears to be longer in modern C. religiosa. Despite general conservation of form and function, Ptolemaic <i>C. olivieri</i> had larger body size than modern Egyptian populations and were more similar in size to modern <i>C. olivieri nyansae</i>, 1900 from Kenya than to modern <i>C. olivieri olivieri</i> from Egypt.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyz091","usgsCitation":"Woodman, N., Wilken, A.T., and Ikram, S., 2019, See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae): Journal of Mammalogy, v. 100, no. 4, p. 1199-1210, https://doi.org/10.1093/jmammal/gyz091.","productDescription":"12 p.","startPage":"1199","endPage":"1210","ipdsId":"IP-107728","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":366039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","city":"Luxor","otherGeospatial":"Dra Abu el-Naga","volume":"100","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilken, Alec T.","contributorId":217703,"corporation":false,"usgs":false,"family":"Wilken","given":"Alec","email":"","middleInitial":"T.","affiliations":[{"id":39687,"text":"University of Missouri, Columbia","active":true,"usgs":false}],"preferred":false,"id":767326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ikram, Salima","contributorId":217704,"corporation":false,"usgs":false,"family":"Ikram","given":"Salima","email":"","affiliations":[{"id":39688,"text":"American University in Cairo, Cairo, Egypt","active":true,"usgs":false}],"preferred":false,"id":767327,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206149,"text":"70206149 - 2019 - Three-layered silver nanoparticles to trace dissolution and association to a green alga","interactions":[],"lastModifiedDate":"2019-10-24T06:53:33","indexId":"70206149","displayToPublicDate":"2019-07-26T06:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2809,"text":"Nanotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Three-layered silver nanoparticles to trace dissolution and association to a green alga","docAbstract":"Core-shell silver nanoparticles (NPs) consisting of an inner Ag core and successive layers of Au and Ag (Ag@Au@Ag) were used to measure the simultaneous association of Ag NPs and ionic Ag by the green alga Chlamydomonas (C.) reinhardtii. Dissolution of the inner Ag core was prevented by a gold (Au) layer, while the outer Ag layer was free to dissolve. In short term experiments, we exposed C. reinhardtii to a range of environmentally realistic Ag concentrations added as AgNO3 or as NPs. Results provide three lines of evidence for the greater cell-association of NPs compared to dissolved Ag over the concentration range tested, assuming that cell-association comprises both uptake and adsorption. First, the cell-association  rate constants (kuw) for total Ag (AgNP+D), NPs (AgNP) and AuNP were similar and 2.2-fold higher than the one from AgD exposure, suggesting predominant association  of the particles over the dissolved form. Second, model calculations based upon Ag fluxes suggested that only 6-33% of algal burden  was from AgD. Thirdly, the significantly lower AgNP/Au ratio measured with the algae after exposure (2.1 ± 0.1) compared to the AgNP/Au ratio of the NPs in the media (2.47 ± 0.05) suggests cell-association of NPs depleted in Ag. Core-shell NPs provide an innovative tool to understand NP behavior and to directly delineate Ag accumulation from ion and NPs in aquatic systems.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/17435390.2019.1640912","usgsCitation":"Ponton, D., Croteau, M.N., Luoma, S.N., Pourhoseini, S., Merrifield, R., and Jamie Lead, 2019, Three-layered silver nanoparticles to trace dissolution and association to a green alga: Nanotoxicology, v. 13, no. 9, p. 1149-1160, https://doi.org/10.1080/17435390.2019.1640912.","productDescription":"12 p.","startPage":"1149","endPage":"1160","ipdsId":"IP-087209","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ponton, Dominic","contributorId":219987,"corporation":false,"usgs":false,"family":"Ponton","given":"Dominic","email":"","affiliations":[{"id":40104,"text":"University of Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":773729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":773728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, Samuel N","contributorId":219988,"corporation":false,"usgs":false,"family":"Luoma","given":"Samuel","email":"","middleInitial":"N","affiliations":[{"id":40105,"text":"UC Davis, CA","active":true,"usgs":false}],"preferred":false,"id":773730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pourhoseini, Sahar","contributorId":219989,"corporation":false,"usgs":false,"family":"Pourhoseini","given":"Sahar","email":"","affiliations":[{"id":40106,"text":"University of South Carolina, SC","active":true,"usgs":false}],"preferred":false,"id":773731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merrifield, Ruth","contributorId":219990,"corporation":false,"usgs":false,"family":"Merrifield","given":"Ruth","email":"","affiliations":[{"id":40106,"text":"University of South Carolina, SC","active":true,"usgs":false}],"preferred":false,"id":773732,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jamie Lead","contributorId":219991,"corporation":false,"usgs":false,"family":"Jamie Lead","affiliations":[{"id":40106,"text":"University of South Carolina, SC","active":true,"usgs":false}],"preferred":false,"id":773733,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204755,"text":"70204755 - 2019 - Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat","interactions":[],"lastModifiedDate":"2019-08-15T11:11:11","indexId":"70204755","displayToPublicDate":"2019-07-25T10:50:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat","docAbstract":"<p><span>Coastal storms have consequences for human lives and infrastructure but also create important early successional habitats for myriad species. For example, storm-induced overwash creates nesting habitat for shorebirds like piping plovers (</span><i>Charadrius melodus</i><span>). We examined how piping plover habitat extent and location changed on barrier islands in New York, New Jersey, and Virginia after Hurricane Sandy made landfall following the 2012 breeding season. We modeled nesting habitat using a nest presence/absence dataset that included characterizations of coastal morphology and vegetation. Using a Bayesian network, we predicted nesting habitat for each study site for the years 2010/2011, 2012, and 2014/2015 based on remotely sensed spatial datasets (e.g., lidar, orthophotos). We found that Hurricane Sandy increased piping plover habitat by 9 to 300% at 4 of 5 study sites but that one site saw a decrease in habitat by 27%. The amount, location, and longevity of new habitat appeared to be influenced by the level of human development at each site. At three of the five sites, the amount of habitat created and the time new habitat persisted were inversely related to the amount of development. Furthermore, the proportion of new habitat created in high-quality overwash was inversely related to the level of development on study areas, from 17% of all new habitat in overwash at one of the most densely developed sites to 80% of all new habitat at an undeveloped site. We also show that piping plovers exploited new habitat after the storm, with 14–57% of all nests located in newly created habitat in the 2013 breeding season. Our results quantify the importance of storms in creating and maintaining coastal habitats for beach-nesting species like piping plovers, and these results suggest a negative correlation between human development and beneficial ecological impacts of these natural disturbances.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0209986","usgsCitation":"Zeigler, S.L., Gutierrez, B.T., Sturdivant, E.J., Catlin, D.H., Fraser, J., Hecht, A., Karpanty, S.M., Plant, N.G., and Thieler, E.R., 2019, Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat: PLoS ONE, v. 14, no. 7, e0209986, 30 p., https://doi.org/10.1371/journal.pone.0209986.","productDescription":"e0209986, 30 p.","ipdsId":"IP-092113","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science 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D.","contributorId":86686,"corporation":false,"usgs":false,"family":"Fraser","given":"James D.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":768441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hecht, A.","contributorId":99525,"corporation":false,"usgs":false,"family":"Hecht","given":"A.","email":"","affiliations":[],"preferred":false,"id":768442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":768443,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768444,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768445,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204472,"text":"70204472 - 2019 - Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem","interactions":[],"lastModifiedDate":"2019-07-26T09:54:59","indexId":"70204472","displayToPublicDate":"2019-07-24T10:52:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem","docAbstract":"Major ecological realignments are already occurring in response to climate change.  To be successful, conservation strategies now need to account for geographical patterns in traits sensitive to climate change, as well as climate threats to species-level diversity.  As part of an effort to provide such information, we conducted a climate vulnerability assessment that included all Pacific salmon and steelhead (Oncorhynchus spp.) listed under the U.S. Endangered Species Act.  Using an expert-based scoring system, we ranked 20 attributes for the 28 listed units, and 5 additional units.  Attributes captured biological sensitivity, or the strength of linkages between each listing unit and the present climate; climate exposure, or the magnitude of projected change in local environmental conditions; and adaptive capacity, or the ability to modify phenotypes to cope with new climatic conditions.  Each listing unit was then assigned one of four vulnerability categories.","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0217711","usgsCitation":"Crozier, L.G., McClure, M., Beechie, T.J., Bograd, S.J., Boughton, D.A., Carr, M.H., Cooney, T.D., Dunham, J.B., Greene, C.M., Haltuch, M.A., Hazen, E.L., Holzer, D.M., Huff, D.D., Johnson, R.C., Jordan, C.E., Kaplan, I.C., Lindley, S., Mantua, N.J., Moyle, P.B., Myers, J.M., Nelson, M.W., Spence, B., Weitkamp, L.A., Williams, T.H., and Willis-Norton, E., 2019, Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem: PLoS ONE, v. 14, no. 7, e0217711, 49 p., https://doi.org/10.1371/journal.pone.0217711.","productDescription":"e0217711, 49 p.","ipdsId":"IP-106777","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70204575,"text":"70204575 - 2019 - Movement and mortality of Atlantic salmonkelts (Salmo salar) released into thePenobscot River, Maine","interactions":[],"lastModifiedDate":"2019-08-05T15:01:54","indexId":"70204575","displayToPublicDate":"2019-07-20T13:33:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movement and mortality of Atlantic salmonkelts (<i>Salmo salar</i>) released into the Penobscot River, Maine","title":"Movement and mortality of Atlantic salmonkelts (Salmo salar) released into thePenobscot River, Maine","docAbstract":"The Penobscot River is home to the last major run of Atlantic salmon (Salmo salar) in the United States. For over one century, the river has been stocked intensively. Since the late 1970s, most kelts are released to the Penobscot River estuary following spawning in a hatchery. Over that time, the proportion of the run made up of iteroparous individuals has declined to < 1%. These fish may make a disproportionate contribution to the spawning population because they are typically large and produce more eggs than virgin spawners. We radio-tagged 55 kelts that were artificially spawned at the Craig Brook National Fish Hatchery in 2015 and released them in two different locations in the river (head of tide and ~50 km upstream) to assess 1) when hatchery-spawned kelts leave the river, 2) whether release location influences river exit timing, and 3) if kelts from the upper river could successfully outmigrate through the lower Penobscot River’s hydroelectric complex. The kelts were tracked from November 2015 to July 2016. Although some fish from both release groups were documented leaving the system within one month, the majority of fish (84%) overwintered in freshwater habitat. Many (71%) of those kelts that overwintered in the Penobscot River made directed, upstream movements in November and December. However, there was no difference in upstream movement rates, timing of outmigration, or survival between the release groups. Survival to outmigration was 23.6%, which is considerably lower than kelt survival documented in Canadian and European rivers. Low survival to outmigration may have contributed to the disappearance of iteroparous individuals from the Penobscot River run of Atlantic salmon over the last four decades.","language":"English","doi":"10.7755/FB.116.3-4.6","usgsCitation":"George A. Maynard, Izzo, L.K., and Zydlewski, J.D., 2019, Movement and mortality of Atlantic salmonkelts (Salmo salar) released into thePenobscot River, Maine: Fishery Bulletin, v. 116, no. 3-4, p. 281-290, https://doi.org/10.7755/FB.116.3-4.6.","productDescription":"10 p.","startPage":"281","endPage":"290","ipdsId":"IP-085930","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7755/fb.116.3-4.6","text":"Publisher Index Page"},{"id":366275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","city":"Orrington","otherGeospatial":"West Enfield Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69,\n              44.41667\n            ],\n            [\n              -68.83333,\n              44.41667\n            ],\n            [\n              -68.83333,\n              46.25\n            ],\n            [\n              -69,\n              46.25\n            ],\n            [\n              -69,\n              44.41667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"George A. 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Maynard","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":767615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izzo, Lisa K.","contributorId":217831,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":767616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":767614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208461,"text":"70208461 - 2019 - Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes","interactions":[],"lastModifiedDate":"2020-02-11T07:58:54","indexId":"70208461","displayToPublicDate":"2019-07-18T07:56:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1434,"text":"Earthquake Engineering and Structural Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes","docAbstract":"Activities related to oil and gas production, especially deep disposal of wastewater, have led to sequences of induced earthquakes in the central U.S. This study aims to quantify damage to and seismic losses for light-frame wood buildings when subjected to sequences of induced, small to moderate magnitude, events. To conduct this investigation, one and two-story multifamily wood frame buildings are designed, and their seismic response dynamically simulated using three-dimensional (3D) nonlinear models, subjected to ground motion sequences recorded in induced events. Damage is quantified through seismic losses, which are estimated using the FEMA P-58 methodology. Results show that at levels of shaking experienced in recent earthquakes, minor damage, consisting of cracking of interior finishes and nonstructural damage to plumbing and HVAC systems is expected, which is consistent with observed damage in these events. The study also examines how expected losses and building fragility will accumulate and/or change over a sequence of earthquakes. Results indicate that damage quantified in terms of absorbed hysteretic energy tended to accumulate over the sequences; this damage corresponds to elongation or widening of cracks. However, fragility is not significantly altered by damage in a preceding event, meaning structures are not becoming more vulnerable due to existing damage. In addition, sequences of events do not change losses if the building is only repaired once at the end of the sequence, as the worsening of damage does not alter repair actions. If repairs are conducted after each event, though, total seismic losses can increase greatly from the sequence.","language":"English","publisher":"Wiley","doi":"10.1002/eqe.3189","usgsCitation":"Chase, R.E., Liel, A.B., Luco, N., and Baird, B.W., 2019, Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes: Earthquake Engineering and Structural Dynamics, v. 48, no. 12, p. 1365-1383, https://doi.org/10.1002/eqe.3189.","productDescription":"19 p.","startPage":"1365","endPage":"1383","ipdsId":"IP-107935","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma 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,{"id":70205184,"text":"70205184 - 2019 - Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe","interactions":[],"lastModifiedDate":"2019-11-13T13:38:53","indexId":"70205184","displayToPublicDate":"2019-07-17T09:22:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe","docAbstract":"<p><span>In drylands, the coexistence of grasses and woody plants has been attributed to soil‐water resource partitioning. Soil texture and precipitation seasonality can influence the amount and distribution of water in the soil, and their interaction may play an important role in determining the relative importance of grasses and woody plants. We investigated the influence of this interaction on plant functional types across a broad range of precipitation regimes and soil textures in western North America by analyzing plant‐cover data collected at 2,084 plots that included the widespread shrub big sagebrush (</span><i>Artemisia tridentata</i><span>&nbsp;Nutt.). We characterized how the significance of the inverse‐texture effect varies across soil conditions by quantifying relationships between precipitation and foliar cover on finer‐ vs. coarser‐textured soils across a range of potential texture divisions represented by sand content. We found evidence of the inverse‐texture effect for every plant functional type (except for cheatgrass) that we examined with at least one component of precipitation (annual, warm, or cold season), and provide the first evidence for this effect in locations with cold‐season‐dominated precipitation regimes. The texture and precipitation combinations that exhibited the inverse‐texture effect varied with plant functional type, presumably because of effects of soil texture on water availability at different soil depths with season. Furthermore, we found an inverse‐texture effect that was remarkably similar for shrub cover with cold‐season precipitation and grass cover with warm‐season precipitation. These results provide new insight into how the inverse‐texture effect interacts with precipitation seasonality to influence plant functional type composition in drylands, and further suggest that quantifying the soil‐texture division at which the inverse‐texture effect is relevant under a given set of environmental conditions may provide support for the effect across dryland plant communities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2824","usgsCitation":"Renne, R.R., Bradford, J.B., Burke, I.C., and Lauenroth, W.K., 2019, Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe: Ecology, v. 100, no. 11, e02824, https://doi.org/10.1002/ecy.2824.","productDescription":"e02824","ipdsId":"IP-101448","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":367247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.1572265625,\n              48.80686346108517\n            ],\n            [\n              -122.51953124999999,\n              41.96765920367816\n            ],\n            [\n              -121.9482421875,\n              39.977120098439634\n            ],\n            [\n              -119.53125,\n              36.98500309285596\n            ],\n            [\n              -117.333984375,\n              36.24427318493909\n            ],\n            [\n              -105.9521484375,\n              35.85343961959182\n            ],\n            [\n              -104.6337890625,\n              39.842286020743394\n            ],\n            [\n              -103.6669921875,\n              46.40756396630067\n            ],\n            [\n              -104.23828125,\n              48.922499263758255\n            ],\n            [\n              -121.1572265625,\n              48.951366470947725\n            ],\n            [\n              -121.1572265625,\n              48.80686346108517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Renne, Rachel R.","contributorId":213935,"corporation":false,"usgs":false,"family":"Renne","given":"Rachel","email":"","middleInitial":"R.","affiliations":[{"id":38934,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA","active":true,"usgs":false}],"preferred":false,"id":770273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":770274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":770275,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204992,"text":"70204992 - 2019 - Intensity and impact of the New York Railroad superstorm of May 1921","interactions":[],"lastModifiedDate":"2019-09-16T12:40:57","indexId":"70204992","displayToPublicDate":"2019-07-16T12:17:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Intensity and impact of the New York Railroad superstorm of May 1921","docAbstract":"<p><span>Analysis is made of low‐latitude ground‐based magnetometer data recording the magnetic superstorm of May 1921. By inference, the storm was driven by a series of interplanetary coronal mass ejections, one of which produced a maximum pressure on the magnetopause of ~64.5 nPa, sufficient to compress the subsolar magnetopause radius to ~5.3 Earth radii. Over the course of the storm, low‐latitude geomagnetic disturbance exhibited extreme local time (longitude) asymmetry that can be attributed to substorm disturbance extending to low latitudes. The storm attained an estimated maximum −</span><i>Dst</i><span>&nbsp;on 15 May of 907 ± 132 nT, an intensity comparable to that of the Carrington event of 1859. The May 1921 storm brought spectacular aurorae to the nighttime sky. It also interfered with and damaged telephone and telegraph systems associated with railroad systems in New York City and State. These later effects were due to a combination of three factors: the localized details of geomagnetic vector disturbance, the geographic expression of the Earth's surface impedance tensor, and the configurations and physical parameters of the electrical networks of the day.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2019SW002250","usgsCitation":"Love, J.J., Hayakawa, H., and Cliver, E.W., 2019, Intensity and impact of the New York Railroad superstorm of May 1921: Space Weather, v. 17, no. 8, p. 1281-1292, https://doi.org/10.1029/2019SW002250.","productDescription":"12 p.","startPage":"1281","endPage":"1292","ipdsId":"IP-109181","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":460329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019sw002250","text":"Publisher Index 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York\",\"nation\":\"USA  \"}}]}","volume":"17","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":769477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayakawa, Hisashi","contributorId":215231,"corporation":false,"usgs":false,"family":"Hayakawa","given":"Hisashi","email":"","affiliations":[{"id":39211,"text":"Graduate School of Letters, Osaka University; Science and Technology Facilities Council, RAL Space, Rutherford Appleton Laboratory, Harwell Campus","active":true,"usgs":false}],"preferred":false,"id":769478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cliver, Edward W.","contributorId":215232,"corporation":false,"usgs":false,"family":"Cliver","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":39212,"text":"National Solar Observatory","active":true,"usgs":false}],"preferred":false,"id":769479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204221,"text":"70204221 - 2019 - Crustal architecture beneath the southern Midcontinent (USA) and controls on Mesoproterozoic iron-oxide mineralization from 3D geophysical models","interactions":[],"lastModifiedDate":"2019-08-13T15:40:56","indexId":"70204221","displayToPublicDate":"2019-07-12T15:23:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Crustal architecture beneath the southern Midcontinent (USA) and controls on Mesoproterozoic iron-oxide mineralization from 3D geophysical models","docAbstract":"Several types of critical mineral-bearing ore deposits in the southern Midcontinent region of the U.S. are hosted in Mesoproterozoic igneous rocks largely concealed beneath Paleozoic cover. Discerning the architecture of igneous intrusions and volcanic centers in the crust is fundamental to understanding the geologic evolution of this vast region and its mineral resources. To advance the understanding of the geologic framework beneath the Southeast Missouri Iron Metallogenic Province, we invert continental-scale magnetic and gravity anomaly data to three-dimensional (3D) physical property models. The regional models image altered and mineralized igneous rocks near the Precambrian basement surface and underlying intrusive complexes that extend down to the Moho. At shallow crustal levels, our models confirm that iron oxide-apatite ± rare earth element (IOA±REE) deposits and iron oxide-copper-gold ± cobalt (IOCG) deposits occur within or near the edges of large low density/low susceptibility early Mesoproterozoic (ca 1.4 Ga) silicic calderas and (ca 1.3 Ga) granitic plutons.  Previous isotopic and geochemical studies conclude that the iron deposits and their volcanic host rocks originated from mantle-derived and crustal melts that erupted during regional extension. Extension was associated with thermal event(s) that produced the large-scale silicic magmatism related to the ca 1.45 Ga Eastern Granite Rhyolite Province (EGRP) and the 1.35 Ga Southern Granite Rhyolite Province (SGRP). We postulate that early in the evolution of the EGRP, several trans-crustal magmatic plumbing systems developed that are evident in the 3D models. The Southeast Missouri Metallogenic Province is underlain by one such magmatic system that is expressed as a northwest-trending ~ 50 km-wide by 200 km-long elongate track of high susceptibility at deep crustal levels. The high susceptibility corridor splays upward through the crust to the Precambrian surface where the iron deposits are the epigenetic manifestation of this magmatic event. Our findings confirm that the iron deposits, with no distinct connection at the surface, are connected to one large magmatic system at depth. We propose that other similar susceptibility tracks, which are present along the top of the mantle, mark additional feeder zones that allowed magma to ascend to the main eruptive centers that produced the Granite Rhyolite Provinces. The early Mesoproterozoic extensional tectonic framework established crustal-scale pathways that controlled the distribution of subsequent magmatic activity, including the ca 1.4 Ga calderas and underlying intrusions, ca 1.3 Ga silicic plutons and Phanerozoic alkaline intrusions. If these interpretations are correct, our study has identified large areas that are prospective for critical mineral-bearing ore deposits and, importantly, suggests that the Mesoproterozoic architecture may have influenced subsequent magmatism and hydrothermal activity in the southern Midcontinent of the U.S.","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2019.102966","collaboration":"test","usgsCitation":"McCafferty, A.E., Phillips, J.D., Hofstra, A.H., and Day, W.C., 2019, Crustal architecture beneath the southern Midcontinent (USA) and controls on Mesoproterozoic iron-oxide mineralization from 3D geophysical models: Ore Geology Reviews, v. 111, 102966, 21 p., https://doi.org/10.1016/j.oregeorev.2019.102966.","productDescription":"102966, 21 p.","ipdsId":"IP-105129","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":467457,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2019.102966","text":"Publisher Index Page"},{"id":437389,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GDWR0C","text":"USGS data release","linkHelpText":"Crustal Architecture Beneath the Southern Midcontinent (USA) -- Data Grids and 3D Geophysical Models"},{"id":365526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365520,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2019.102966"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.94140625,\n              30.259067203213018\n            ],\n            [\n              -82.30957031249999,\n              30.259067203213018\n            ],\n            [\n              -82.30957031249999,\n              44.809121700077355\n            ],\n            [\n              -104.94140625,\n              44.809121700077355\n            ],\n            [\n              -104.94140625,\n              30.259067203213018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":766048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":766049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":766050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":766051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204787,"text":"70204787 - 2019 - Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","interactions":[],"lastModifiedDate":"2019-10-09T09:42:38","indexId":"70204787","displayToPublicDate":"2019-07-12T07:01:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","docAbstract":"<ol class=\"\"><li>Satellite‐based technologies that track individual animal movements enable the mapping of their spatial and temporal patterns of occurrence. This is particularly useful in poorly studied or remote regions where there is a need for the rapid gathering of relevant ecological knowledge to inform management actions. One such region is East Asia, where many intertidal habitats are being degraded at unprecedented rates and shorebird populations relying on these habitats show rapid declines.</li><li>We examine the utility of satellite tracking to accelerate the identification of coastal sites of conservation importance in the East Asian–Australasian Flyway. In 2015–2017, we used solar‐powered satellite transmitters to track the migration of 32 great knots (<i>Calidris tenuirostris</i>), an “Endangered” shorebird species widely distributed in the Flyway and fully dependent on intertidal habitats for foraging during the non‐breeding season.</li><li>From the great knot tracks, a total of 92 stopping sites along the Flyway were identified. Surprisingly, 63% of these sites were not known as important shorebird sites before our study; in fact, every one of the tracked individuals used sites that were previously unrecognized.</li><li>Site knowledge from on‐ground studies in the Flyway is most complete for the Yellow Sea and generally lacking for Southeast Asia, Southern China and Eastern Russia.</li><li><i>Synthesis and applications</i>. Satellite tracking highlighted coastal habitats that are potentially important for shorebirds but lack ecological information and conservation recognition, such as those in Southern China and Southeast Asia. At the same time, the distributional data of tracked individuals can direct on‐ground surveys at the lesser known sites to collect information on bird numbers and habitat characteristics. To recognize and subsequently protect valuable coastal habitats, filling knowledge gaps by integrating bird tracking with ground‐based methods should be prioritized.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13474","usgsCitation":"Chan, Y., Tibbitts, T.L., Lok, T., Chris Hassell, Peng, H., Ma, Z., Zhang, Z., and Theunis Piersma, 2019, Filling knowledge gaps in a threatened shorebird flyway through satellite tracking: Journal of Applied Ecology, v. 56, no. 10, p. 2305-2315, https://doi.org/10.1111/1365-2664.13474.","productDescription":"11 p.","startPage":"2305","endPage":"2315","ipdsId":"IP-099503","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13474","text":"Publisher Index Page"},{"id":366595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, China, Indonesia, Russia","otherGeospatial":"East Asian-Australasian Flyway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n             100.00,\n              60.00\n            ],\n            [\n              142.00,\n              60.00\n            ],\n            [\n              142.00,\n              -20.00\n            ],\n            [\n              100.00,\n              -20.00\n            ],\n            [\n              100.00,\n              60.00\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Yin-Chi","contributorId":218152,"corporation":false,"usgs":false,"family":"Chan","given":"Yin-Chi","email":"","affiliations":[{"id":39763,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":768479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":768478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lok, Tamar","contributorId":218153,"corporation":false,"usgs":false,"family":"Lok","given":"Tamar","email":"","affiliations":[{"id":17924,"text":"Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":768480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chris Hassell","contributorId":218154,"corporation":false,"usgs":false,"family":"Chris Hassell","affiliations":[{"id":39764,"text":"Global Flyway Network, Australia","active":true,"usgs":false}],"preferred":false,"id":768481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peng, He-Bo","contributorId":218155,"corporation":false,"usgs":false,"family":"Peng","given":"He-Bo","email":"","affiliations":[{"id":39765,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research; Fudan University, Shanghai, China","active":true,"usgs":false}],"preferred":false,"id":768482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, Zhijun","contributorId":218156,"corporation":false,"usgs":false,"family":"Ma","given":"Zhijun","email":"","affiliations":[{"id":39766,"text":"Fudan University, Shanghai, China","active":true,"usgs":false}],"preferred":false,"id":768483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Zhengwang","contributorId":218157,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhengwang","email":"","affiliations":[{"id":39767,"text":"Beijing Normal University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":768484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Theunis Piersma","contributorId":218158,"corporation":false,"usgs":false,"family":"Theunis Piersma","affiliations":[{"id":39768,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research, Global Flyway Network","active":true,"usgs":false}],"preferred":false,"id":768485,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204191,"text":"70204191 - 2019 - Bundle adjustment using space based triangulation method for improving the Landsat global ground reference","interactions":[],"lastModifiedDate":"2019-07-10T12:01:42","indexId":"70204191","displayToPublicDate":"2019-07-10T11:58:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Bundle adjustment using space based triangulation method for improving the Landsat global ground reference","docAbstract":"There is an ever-increasing interest and need for accurate geo-registration of remotely sensed data products to a common global geometric reference. Although the geo-registration has improved significantly in the last decade, the lack of an accurate global ground reference dataset\nposes serious issues for data providers seeking to make geometrically stackable analysis ready data. The existing Global Land Survey 2000 (GLS2000) dataset derived from Landsat 7 images provide global coverage and can be used as a reference dataset, but its accuracy is much lower than what can be attained using the agile and precise pointing capability of the new spacecrafts. The improved position and pointing knowledge of the new spacecrafts such as Landsat 8 can be used to improve the accuracy of the existing global ground control points using a space based triangulation method. This paper discusses the theoretical basis, formulation, and application of the space based triangulation method at a continental scale to improve the accuracy of the GLS-derived ground control points.Our triangulation method involves adjusting the spacecraft position, velocity, attitude, attitude rate, and ground control point locations, iteratively, by linearizing the non-linear viewing geometry, such that the residual errors in the measured image points are minimized. The complexity of the numerical inversion and processing is dealt with in our approach by processing and eliminating the ground points one at a time. This helps to reduce the size of the normal matrix significantly, thereby making the triangulation of a continent-wide scale block feasible and efficient. One of the unique characteristics of our method is the use of a correlation model linking the attitude corrections between images of the same pass, which promotes consistency in the attitude corrections. We evaluated the performance of our triangulation method over the Australian continent using the Australian Geographic Reference Image (AGRI) dataset as a reference. Both a free adjustment, using only the pointing information of the Landsat 8 spacecraft, and a constrained adjustment, using the AGRI as external control were performed and the results compared. The Australian block’s horizontal accuracy improved from 15.4 m to 3.6 m with the use of AGRI controls, and from 15.4 m to 8.8 m without the use of AGRI controls.","language":"English","publisher":"MDPI","doi":"10.3390/rs11141640","usgsCitation":"Storey, J.C., Rengarajan, R., and Choate, M., 2019, Bundle adjustment using space based triangulation method for improving the Landsat global ground reference: Remote Sensing, v. 11, no. 14, 1640; 25 p., https://doi.org/10.3390/rs11141640.","productDescription":"1640; 25 p.","ipdsId":"IP-108480","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11141640","text":"Publisher Index Page"},{"id":365464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"14","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-10","publicationStatus":"PW","contributors":{"editors":[{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":216866,"corporation":false,"usgs":true,"family":"Choate","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":765937,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":765936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, R. 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":56036,"corporation":false,"usgs":true,"family":"Rengarajan","given":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":765935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":765940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223404,"text":"70223404 - 2019 - Status of the Topeka shiner in Iowa","interactions":[],"lastModifiedDate":"2021-08-26T14:44:45.634999","indexId":"70223404","displayToPublicDate":"2019-07-10T09:43:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Status of the Topeka shiner in Iowa","docAbstract":"<p><span>The Topeka shiner&nbsp;</span><i>Notropis topeka</i><span>&nbsp;is native to Iowa, Kansas, Minnesota, Missouri, Nebraska, and South Dakota and has been federally listed as endangered since 1998. Our goals were to determine the present distribution and qualitative status of Topeka shiners throughout its current range in Iowa and characterize the extent of decline in relation to its historic distribution. We compared the current (2016–2017) distribution to distributions portrayed in three earlier time periods. In 2016–2017 Topeka shiners were found in 12 of 20 HUC10 watersheds where they occurred historically. Their status was classified as stable in 21% of the HUC10 watersheds, possibly stable in 25%, possibly recovering in 8%, at risk in 33%, and possibly extirpated in 13% of the watersheds. The increasing trend in percent decline evident in earlier time periods reversed, going from 68% in 2010–11 to 40% in the most recent surveys. Following decades of decline, the status of Topeka shiners in Iowa appears to be improving. One potential reason for the reversal in the distributional decline of Topeka shiners in Iowa is the increasing number of oxbow restorations. Until a standardized monitoring program is established for Iowa, periodic status assessments such as this will be necessary to chronicle progress toward conserving this endangered fish species.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-182.1.109","usgsCitation":"Pierce, C., Simpson, N., Bybel, A., Zambory, C.L., Weber, M., and Roe, K., 2019, Status of the Topeka shiner in Iowa: American Midland Naturalist, v. 182, no. 1, p. 109-117, https://doi.org/10.1674/0003-0031-182.1.109.","productDescription":"9 p.","startPage":"109","endPage":"117","ipdsId":"IP-102806","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467469,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1326&context=nrem_pubs","text":"External Repository"},{"id":388541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":821964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zambory, Courtney L.","contributorId":264754,"corporation":false,"usgs":false,"family":"Zambory","given":"Courtney","email":"","middleInitial":"L.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":821965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Michael J.","contributorId":264756,"corporation":false,"usgs":false,"family":"Weber","given":"Michael J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":821966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roe, Kevin J.","contributorId":264758,"corporation":false,"usgs":false,"family":"Roe","given":"Kevin J.","affiliations":[{"id":6911,"text":"Iowa State 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,{"id":70204130,"text":"70204130 - 2019 - One Health: A perspective from wildlife and environmental health sectors","interactions":[],"lastModifiedDate":"2019-11-14T06:53:59","indexId":"70204130","displayToPublicDate":"2019-07-08T13:03:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5043,"text":"Scientific and Technical Review","active":true,"publicationSubtype":{"id":10}},"title":"One Health: A perspective from wildlife and environmental health sectors","docAbstract":"<p>Loss of biodiversity, habitat fragmentation and pollution, and&nbsp;subsequent degradation of natural environments threaten the range of&nbsp;ecosystem services that support all life on this planet. These changes,&nbsp;among others, are also driving the emergence of infectious diseases,&nbsp;with negative health outcomes for humans, animals, and our shared&nbsp;environment. Historically, interventions aimed at human and&nbsp;agricultural health issues did not always integrate wildlife or&nbsp;environmental health as part of the solution, which has resulted in&nbsp;unintended consequences. One Health recognises the&nbsp; interdependence&nbsp;of humans, animals and their shared environment, and provides a&nbsp;conceptual framework for developing interventions that optimise&nbsp;outcomes for human, animal and environmental health. However,&nbsp;there is a need to clearly articulate the core values, goals, and&nbsp;objectives of One Health for all relevant sectors in order to maximise&nbsp;synergies for communication, coordination, collaboration, and,&nbsp;ultimately, for joint actions on disease control and prevention.&nbsp;Application of systems and harm reduction approaches, focusing on&nbsp;the socio-economic and environmental determinants of health, and&nbsp;ensuring good governance and effective leadership will also maximise&nbsp;the opportunities to develop ‘win-win-win’ solutions to global health&nbsp;and environmental challenges. These solutions would help propel One&nbsp;Health forward to reach its full potential and truly optimise health&nbsp;outcomes for all.</p>","language":"English","publisher":"OIE World Organisation for Animal Health","doi":"10.20506/rst.38.1.2944","usgsCitation":"Sleeman, J.M., Richgels, K.L., White, C.L., and Stephen, C., 2019, One Health: A perspective from wildlife and environmental health sectors: Scientific and Technical Review, v. 38, no. 1, p. 91-98, https://doi.org/10.20506/rst.38.1.2944.","productDescription":"8 p.","startPage":"91","endPage":"98","ipdsId":"IP-098821","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":365350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":765650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richgels, Katherine L. D. 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":151205,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","middleInitial":"L. D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephen, C.","contributorId":216822,"corporation":false,"usgs":false,"family":"Stephen","given":"C.","email":"","affiliations":[],"preferred":false,"id":765653,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204525,"text":"70204525 - 2019 - Locating shallow seismic sources with waves scattered by surface topography: Validation of the method at the Nevada Test Site","interactions":[],"lastModifiedDate":"2019-08-29T12:00:01","indexId":"70204525","displayToPublicDate":"2019-07-03T16:32:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Locating shallow seismic sources with waves scattered by surface topography: Validation of the method at the Nevada Test Site","docAbstract":"Accurate and robust source location is fundamental in seismology. Previously, we proposed a new full waveform location method using waves scattered by topography near the source, and we demonstrated its potential in obtaining accurate source location using synthetic data. In the work presented here, we validate this method with observed seismic data from the 1993 Non-Proliferation Experiment, a chemical explosion with a precisely known location in a region with moderate topography at the  Nevada Test Site. We select the first arrivals (Pn/Pg) and their immediate codas to determine the source location and compare our solution with the known location. We use a collocated-grid finite-difference method to calculate the strain Green’s tensor in a grid-search volume containing the source, and obtain three-component synthetic waveforms at 12 broadband seismic stations at regional distances using source-receiver reciprocity. We assess the solution using a least-squares misfit between the observed and synthetic waveforms. When scattered coda waves are incorporated, the best solution is within a few hundreds of meters of the exact source location, and the estimated uncertainty of the solution is reduced compared to the waveform based solution using only the P waves. The solution is robust to the choice of the frequency content and to the addition of random velocity heterogeneity. We conclude that the full waveform source location method is effective for real seismic data, though more validation tests like this one are needed to further understand its efficacy for source-station geometry, roughness of topography, signal quality and other factors.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB017291","usgsCitation":"Wang, N., Shen, Y., Bao, X., and Flinders, A.F., 2019, Locating shallow seismic sources with waves scattered by surface topography: Validation of the method at the Nevada Test Site: Journal of Geophysical Research B: Solid Earth, v. 124, no. 7, p. 7040-7051, https://doi.org/10.1029/2018JB017291.","productDescription":"12 p.","startPage":"7040","endPage":"7051","ipdsId":"IP-091427","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/2376","text":"Publisher Index Page"},{"id":366058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"124","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Nian","contributorId":217730,"corporation":false,"usgs":false,"family":"Wang","given":"Nian","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":767392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Yang","contributorId":217731,"corporation":false,"usgs":false,"family":"Shen","given":"Yang","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":767393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bao, Xueyang","contributorId":217732,"corporation":false,"usgs":false,"family":"Bao","given":"Xueyang","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":767394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":767391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204203,"text":"70204203 - 2019 - Integrative taxonomy reveals a new species of freshwater mussel, Potamilus streckersoni sp. nov. (Bivalvia: Unionidae): Implications for conservation and management","interactions":[],"lastModifiedDate":"2019-09-16T09:38:48","indexId":"70204203","displayToPublicDate":"2019-07-03T15:23:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5671,"text":"Systematics and Biodiversity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Integrative taxonomy reveals a new species of freshwater mussel, <i>Potamilus streckersoni</i> sp. nov. (Bivalvia: Unionidae): Implications for conservation and management","title":"Integrative taxonomy reveals a new species of freshwater mussel, Potamilus streckersoni sp. nov. (Bivalvia: Unionidae): Implications for conservation and management","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Inaccurate systematics confound our ability to determine evolutionary processes that have led to the diversification of many taxa. The North American freshwater mussel tribe Lampsilini is one of the better-studied groups in Unionidae, however, many supraspecific relationships between lampsiline genera remain unresolved. Two genera previously hypothesized to be non-monophyletic that have been largely overlooked are<span>&nbsp;</span><i>Leptodea</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Potamilus</i>. We set out to resolve supraspecific relationships in Lampsilini and test the monophyly of<span>&nbsp;</span><i>Leptodea</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Potamilus</i><span>&nbsp;</span>by integrating molecular, morphological, and life history data. Our molecular matrix consisted of four loci:<span>&nbsp;</span><i>cytochrome c oxidase subunit 1</i><span>&nbsp;</span>(CO1),<span>&nbsp;</span><i>NADH dehydrogenase subunit 1</i><span>&nbsp;</span>(ND1),<span>&nbsp;</span><i>internal transcribed spacer 1</i><span>&nbsp;</span>(ITS1), and<span>&nbsp;</span><i>28S ribosomal RNA</i>. Secondly, we performed both traditional and Fourier shape morphometric analyses to evaluate morphological differences and finally, we compared our results with available life history data. Molecular data supported the paraphyly of both<span>&nbsp;</span><i>Leptodea</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Potamilus</i>, but nodal support was insufficient to make any conclusions regarding generic-level assignments at this time. In contrast, inference from our integrative taxonomic assessment depicts significant support for the recognition of a new species,<span>&nbsp;</span><i>Potamilus streckersoni</i><span>&nbsp;</span>sp. nov., the Brazos Heelsplitter. Our data show clear separation of three taxonomic entities in the<span>&nbsp;</span><i>P. ohiensis</i><span>&nbsp;</span>species complex:<span>&nbsp;</span><i>P. amphichaenus</i>,<span>&nbsp;</span><i>P. ohiensis</i>, and<span>&nbsp;</span><i>P. streckersoni</i><span>&nbsp;</span>sp. nov.; all molecularly, geographically, and morphologically diagnosable. Our findings have profound implications for unionid taxonomy and will aid stakeholders in establishing effective conservation and management strategies.<a class=\"ext-link\" rel=\"noopener\" href=\"http://www.zoobank.org/urn:lsid:zoobank.org:pub:502647C0-418B-4CC4-85A8-BD89FC3F674F\" target=\"_blank\" data-mce-href=\"http://www.zoobank.org/urn:lsid:zoobank.org:pub:502647C0-418B-4CC4-85A8-BD89FC3F674F\">http://www.zoobank.org/urn:lsid:zoobank.org:pub:502647C0-418B-4CC4-85A8-BD89FC3F674F</a></p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/14772000.2019.1607615","usgsCitation":"Smith, C., Johnson, N., Inoue, K., Doyle, R., and Randklev, C.R., 2019, Integrative taxonomy reveals a new species of freshwater mussel, Potamilus streckersoni sp. nov. (Bivalvia: Unionidae): Implications for conservation and management: Systematics and Biodiversity, v. 17, no. 4, p. 331-348, https://doi.org/10.1080/14772000.2019.1607615.","productDescription":"18 p.","startPage":"331","endPage":"348","ipdsId":"IP-102032","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467482,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/14772000.2019.1607615","text":"Publisher Index Page"},{"id":437398,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92CV9QZ","text":"USGS data release","linkHelpText":"Molecular, morphometric, and distribution information for the freshwater mussel genus Potamilus and newly described species, Potamilus streckersoni sp. nov."},{"id":365489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":206797,"corporation":false,"usgs":true,"family":"Smith","given":"Chase H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":216876,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inoue, Kentaro","contributorId":202526,"corporation":false,"usgs":false,"family":"Inoue","given":"Kentaro","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":765970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Robert","contributorId":216877,"corporation":false,"usgs":false,"family":"Doyle","given":"Robert","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":765972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":765973,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205595,"text":"70205595 - 2019 - Modeling transient soil moisture limitations on microbial carbon respiration: A cost-performance comparison","interactions":[],"lastModifiedDate":"2019-09-27T09:43:37","indexId":"70205595","displayToPublicDate":"2019-07-02T09:06:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling transient soil moisture limitations on microbial carbon respiration: A cost-performance comparison","docAbstract":"Soil microorganisms are known to survive periods of aridity and to recover rapidly after wetting events, with the ability to transition between a dormant state in dry conditions and an active state in wet conditions. Though this dynamic behavior has been previously incorporated into soil carbon respiration modeling frameworks, a direct comparison between this active-dormant transition mechanism and a more simplified first-order model has yet to be made. Here, we demonstrate the necessary extent of model complexity needed to reproduce transient carbon respiration rates obtained from a set of soil incubation experiments implemented over a range of soil depths and time intervals. Two approaches are tested, one uses simplified first-order kinetics whereas the other employs a transition between active and dormant biomass. The performance of each model is evaluated using an Akaike Information Criterion (AIC) based on the accuracy with which they reproduce an experimental dataset consisting of two sets of time series soil incubations collected across a range of time and depth resolutions. Based on the AIC evaluation and model-data comparison, we conclude that a dormancy-enabled model featuring two distinct microbial strategists performs best for the majority of the soil profile (above 108 cm) for both high- and low- depth resolution and sampling frequency, despite the added parameters required. In contrast, the first-order model achieves better AIC scores when simulating our deepest soils (112-165 cm), where moisture fluctuations are expected to be less prevalent. These results guide how and where we choose to apply more cost intensive models.","language":"English","doi":"10.1029/2018JG004628","usgsCitation":"Liu, Y., Lawrence, C.R., Mathew Winnick, Hsiao-Tieh Hsu, Maher, K., and Druhan, J., 2019, Modeling transient soil moisture limitations on microbial carbon respiration: A cost-performance comparison: Biogeosciences, v. 124, no. 7, p. 2222-2247, https://doi.org/10.1029/2018JG004628.","productDescription":"26 p.","startPage":"2222","endPage":"2247","ipdsId":"IP-091717","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004628","text":"Publisher Index Page"},{"id":367761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Yuchen","contributorId":219247,"corporation":false,"usgs":false,"family":"Liu","given":"Yuchen","email":"","affiliations":[{"id":39974,"text":"University Illinois","active":true,"usgs":false}],"preferred":false,"id":771792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":771793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathew Winnick","contributorId":219248,"corporation":false,"usgs":false,"family":"Mathew Winnick","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":771794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsiao-Tieh Hsu","contributorId":219249,"corporation":false,"usgs":false,"family":"Hsiao-Tieh Hsu","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":771795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maher, Katherine","contributorId":219250,"corporation":false,"usgs":false,"family":"Maher","given":"Katherine","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":771796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Druhan, Jennifer","contributorId":202381,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":771797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208842,"text":"70208842 - 2019 - Southern California and range‐wide raccoon gastrointestinal helminth database","interactions":[],"lastModifiedDate":"2020-03-03T09:14:41","indexId":"70208842","displayToPublicDate":"2019-07-01T09:13:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Southern California and range‐wide raccoon gastrointestinal helminth database","docAbstract":"Local and global measurements of parasite prevalence and abundance are critical for understanding the dynamics that underlie the diversity, distribution, and evolution of infectious diseases. Here, we present a data set of gut helminths found in (1) raccoons throughout their range, based on primary literature from 1925–2017 and (2) raccoons in Santa Barbara County, California, USA surveyed from 2012 to 2015. The range‐wide data set has 1,256 parasite entries from 217 literature sources across three continents and 32 states in the USA. This data set includes a list of all recorded raccoon gut helminths (n = 100) and their presence and prevalence in surveyed raccoon populations. The Santa Barbara data set includes gut helminth data from 182 raccoons from one Southern California County. In addition to the presence and abundance data for 13 parasite species, this data set includes measurements of 7,465 individual raccoon roundworms (Baylisascaris procyonis). For both range‐wide and Santa Barbara data sets, we include information on parasite site of infection in host, sampling method, and sample size. We also provide geographic coordinates for infected raccoon populations (range‐wide database) and individuals (Santa Barbara). In the associated metadata, we include sampling methods and summary figures for both the range‐wide and Santa Barbara raccoon gut helminth records. There are no copyright or proprietary restrictions for research and/or teaching purposes. S. B. Weinstein and J. C. Van Wert contributed equally to this manuscript and are shared first authors.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2807","usgsCitation":"Weinstein, S.B., Van Wert, J.C., Kinsella, M., Tkach, V.V., and Lafferty, K.D., 2019, Southern California and range‐wide raccoon gastrointestinal helminth database: Ecology, v. 100, no. 9, e02807, https://doi.org/10.1002/ecy.2807.","productDescription":"e02807","ipdsId":"IP-108629","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2807","text":"Publisher Index Page"},{"id":372840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Barbara County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.750732421875,\n              34.225429015241396\n            ],\n            [\n              -118.377685546875,\n              34.225429015241396\n            ],\n            [\n              -118.377685546875,\n              34.88593094075317\n            ],\n            [\n              -120.750732421875,\n              34.88593094075317\n            ],\n            [\n              -120.750732421875,\n              34.225429015241396\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Weinstein, Sara B.","contributorId":141028,"corporation":false,"usgs":false,"family":"Weinstein","given":"Sara","email":"","middleInitial":"B.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":783611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wert, Jacey C.","contributorId":221858,"corporation":false,"usgs":false,"family":"Van Wert","given":"Jacey","email":"","middleInitial":"C.","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":783612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinsella, Mike","contributorId":221859,"corporation":false,"usgs":false,"family":"Kinsella","given":"Mike","email":"","affiliations":[{"id":40444,"text":"Helm West Laboratory, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":783613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tkach, Vasyl V.","contributorId":190351,"corporation":false,"usgs":false,"family":"Tkach","given":"Vasyl","email":"","middleInitial":"V.","affiliations":[{"id":52695,"text":"Department of Biology, University of North Dakota, Grand Forks, ND 58201, USA","active":true,"usgs":false}],"preferred":false,"id":783614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783610,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205019,"text":"70205019 - 2019 - The presence of antibiotic resistance genes in coastal soil and sediment samples from the eastern seaboard of the USA","interactions":[],"lastModifiedDate":"2019-08-28T10:45:53","indexId":"70205019","displayToPublicDate":"2019-06-28T10:35:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"The presence of antibiotic resistance genes in coastal soil and sediment samples from the eastern seaboard of the USA","docAbstract":"<p><span>Infections from antibiotic resistant microorganisms are considered to be one of the greatest global public health challenges that result in huge annual economic losses. While genes that impart resistance to antibiotics (AbR) existed long before the discovery and use of antibiotics, anthropogenic uses of antibiotics in agriculture, domesticated animals, and humans are known to influence the prevalence of these genes in pathogenic microorganisms. It is critical to understand the role that natural and anthropogenic processes have on the occurrence and distribution of antibiotic resistance in microbial populations to minimize health risks associated with exposures. As part of this research, 15 antibiotic resistance genes were analyzed in coastal sediments and soils along the eastern seaboard of the USA using presence/absence quantitative and digital polymerase chain reaction assays. Samples (53 soil and 192 sediment samples including 54 replicates) were collected from a variety of coastal settings where human and wildlife exposure is likely. At least one of the antibiotic resistance genes was detected in 76.4% of the samples. Samples that contained at least five or more antibiotic resistance genes (5.7%) where typically hydrologically down gradient of watersheds influenced by combined sewer outfalls (CSO). The most frequently detected antibiotic resistance target genes were found in 33.2%, 34.4%, and 42.2% of samples (target genes&nbsp;</span><i class=\"EmphasisTypeItalic \">bla</i><sub>SHV</sub><span>,&nbsp;</span><i class=\"EmphasisTypeItalic \">tetO</i><span>, and&nbsp;</span><i class=\"EmphasisTypeItalic \">aadA2</i><span>, respectively). These data provide unique insight into potential exposure of AbR genes over a large geographical region of the eastern seaboard of the USA.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10661-019-7426-z","usgsCitation":"Griffin, D.W., Benzel, W., Fisher, S.C., Focazio, M.J., Iwanowicz, L.R., Loftin, K., Reilly, T.J., and Jones, D.K., 2019, The presence of antibiotic resistance genes in coastal soil and sediment samples from the eastern seaboard of the USA: Environmental Monitoring and Assessment, v. 19, no. Suppl 2, 300, 17 p., https://doi.org/10.1007/s10661-019-7426-z.","productDescription":"300, 17 p.","ipdsId":"IP-086519","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"links":[{"id":367003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, District of Columbia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, South Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.379150390625,\n              45.042478050891546\n            ],\n            [\n              -69.8291015625,\n              44.41024041296011\n            ],\n            [\n              -70.784912109375,\n              43.59630591596548\n            ],\n            [\n              -71.641845703125,\n              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dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":769594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":769596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":769597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":205662,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":769598,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769600,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204049,"text":"70204049 - 2019 - Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction","interactions":[],"lastModifiedDate":"2019-07-01T09:49:34","indexId":"70204049","displayToPublicDate":"2019-06-28T09:44:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Improving pressure-limited CO<sub>2</sub> storage capacity in saline formations by means of brine extraction","title":"Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction","docAbstract":"<p><span>The carbon dioxide (CO</span><sub>2</sub><span>) storage capacity of saline formations may be constrained by reservoir pressure limitations. Brine extraction could be necessary to increase the CO</span><sub>2</sub><span>&nbsp;storage capacity of a given formation, manage the extent of the underground CO</span><sub>2</sub><span>&nbsp;plume and induced pressure front, and control the migration direction. To estimate the additional CO</span><sub>2</sub><span>&nbsp;storage capacity of a saline formation that can be made accessible by extraction of in-situ brines, a three-dimensional (3D) generic cubic cell containing one CO</span><sub>2</sub><span>&nbsp;injector in the middle surrounded by four brine extractors at each corner of the cell was assumed. A series of Tough2-ECO2N reservoir simulations were constructed with varying reservoir properties and run. Based on a series of scenarios, a mechanism was developed and demonstrated that resulted in derivation of a function to provide estimates of the ratio of total CO</span><sub>2</sub><span>&nbsp;injection over the brine extraction rate for a given scenario. We selected multiple saline formations in U.S. basins and evaluated the potential to increase the combined dynamic CO</span><sub>2</sub><span>&nbsp;storage capacity of the selected saline formations to over 1000 million metric tonnes per year (Mt/yr) of CO</span><sub>2</sub><span>&nbsp;for 100 years by means of brine extraction. Such storage capacities may be adequate to accommodate the CO</span><sub>2</sub><span>&nbsp;injection rates suggested for the United States under a “beyond two-degree Celsius scenario” (B2DS) that has been proposed to maintain global temperature rise to less than 2°C above pre-industrial reported levels. The results suggest that B2DS goals could be achieved with a volume ratio of brine extraction to CO</span><sub>2</sub><span>injection as low as 1:4, which is far lower than the ratios that have been commonly assumed in the literature.</span></p>","language":"English","publisherLocation":"Elsevier","doi":"10.1016/j.ijggc.2019.06.009","usgsCitation":"Jahediesfanjani, H., Anderson, S.T., and Warwick, P., 2019, Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction: International Journal of Greenhouse Gas Control, v. 88, p. 299-310, https://doi.org/10.1016/j.ijggc.2019.06.009.","productDescription":"12 p.","startPage":"299","endPage":"310","ipdsId":"IP-104245","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2019.06.009","text":"Publisher Index Page"},{"id":365243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":765279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204257,"text":"70204257 - 2019 - Hydrocarbons in upland groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, USA","interactions":[],"lastModifiedDate":"2019-07-17T11:44:31","indexId":"70204257","displayToPublicDate":"2019-06-27T14:57:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Hydrocarbons in upland groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, USA","docAbstract":"<p><span>Water samples from 50 domestic wells located &lt;1 km (proximal) and &gt;1 km (distal) from shale-gas wells in upland areas of the Marcellus Shale region were analyzed for chemical, isotopic, and groundwater-age tracers. Uplands were targeted because natural mixing with brine and hydrocarbons from deep formations is less common in those areas compared to valleys. CH</span><sub>4</sub><span>-isotope, predrill CH</span><sub>4</sub><span>-concentration, and other data indicate that one proximal sample (5% of proximal samples) contains thermogenic CH</span><sub>4</sub><span>&nbsp;(2.6 mg/L) from a relatively shallow source (Catskill/Lock Haven Formations) that appears to have been mobilized by shale-gas production activities. Another proximal sample contains five other volatile hydrocarbons (0.03–0.4 μg/L), including benzene, more hydrocarbons than in any other sample. Modeled groundwater-age distributions, calibrated to&nbsp;</span><sup>3</sup><span>H, SF</span><sub>6</sub><span>, and&nbsp;</span><sup>14</sup><span>C concentrations, indicate that water in that sample recharged prior to shale-gas development, suggesting that land-surface releases associated with shale-gas production were not the source of those hydrocarbons, although subsurface leakage from a nearby gas well directly into the groundwater cannot be ruled out. Age distributions in the samples span ∼20 to &gt;10000 years and have implications for relating occurrences of hydrocarbons in groundwater to land-surface releases associated with recent shale-gas production and for the time required to flush contaminants from the system.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b01440","usgsCitation":"McMahon, P.B., Lindsey, B.D., Conlon, M.D., Hunt, A.G., Belitz, K., Jurgens, B., and Varela, B.A., 2019, Hydrocarbons in upland groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, USA: Environmental Science & Technology, v.  53, no. 14, p. 8027-8035, https://doi.org/10.1021/acs.est.9b01440.","productDescription":"9 p.","startPage":"8027","endPage":"8035","ipdsId":"IP-104959","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"links":[{"id":437401,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93M7JCD","text":"USGS data release","linkHelpText":"Data Release for Hydrocarbons in Upland Groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, USA"},{"id":365631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","volume":" 53","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conlon, Matthew D. 0000-0001-8266-9610 mconlon@usgs.gov","orcid":"https://orcid.org/0000-0001-8266-9610","contributorId":201291,"corporation":false,"usgs":true,"family":"Conlon","given":"Matthew","email":"mconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":766206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":766209,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204037,"text":"70204037 - 2019 - Morphology and genesis of giant seafloor depressions on the southeasterncontinental shelf of the Korean Peninsula","interactions":[],"lastModifiedDate":"2019-06-28T09:25:09","indexId":"70204037","displayToPublicDate":"2019-06-27T14:31:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Morphology and genesis of giant seafloor depressions on the southeasterncontinental shelf of the Korean Peninsula","docAbstract":"<p><span>We identify and describe five giant seafloor depressions from the southeastern continental shelf of the Korean Peninsula using multibeam bathymetry, sub-bottom profiler, and multi-channel seismic reflection data, supplemented by piston cores. Multibeam bathymetry data from the shelf show four crescent-shaped depressions (SD1 to SD4) and one near-circular depression (SD5) within a group of NW-SE trending depressions, the largest covering an area of about 7 km</span><sup>2</sup><span>&nbsp;on the seafloor. The depressions reach up to ~4.5 km in width and ~2 km in length and have asymmetric cross-sections. Some have depths as large as 40 m below the surrounding seafloor with walls as steep as 45°. The depressions are confined to water depths between 130 and 170 m and bounded on the north by a large submarine channel that was plausibly formed by fluvial or tidal processes during the Last Glacial Maximum (LGM) sea-level lowstand. Multi-channel seismic and sub-bottom profiler data reveal truncated depression walls and the presence of sediment drift deposits within the depressions, indicating that both erosion and deposition are active processes. Flaser and lenticular bedding in the cored drift deposits along with variable grain size (ranging between ~2.6 phi and ~4.3 phi) are diagnostic features of the bottom currents influenced by tidal forces. Depressions SD1 to SD4 lack evidence of fluid or gas escape. In contrast, many features of depression SD5 are characteristic of gas escapes and blowouts, including acoustic anomalies, a 20-m-high carbonate mound or carbonate-encrusted mound, and mud dikes and mud patches in cores. Based on the SD5 example, we think it is likely that the other crescent-shaped seafloor depressions formed originally as pockmarks by gas/fluid venting, and have since become inactive. The pockmarks represent zones of weakened sediment that were eroded, expanded, and merged by bottom currents to form larger seafloor depressions. Modern currents are strong enough to transport shelf sediments, and these currents were probably much stronger at lower sea levels when the Korea Strait was a more restricted passage between the East China Sea and East Sea.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2019.105966","usgsCitation":"Cukur, D., Kong, G., Chun, J., Kang, M., Um, I., Kwon, T., Jordan, S.E., and Kim, K., 2019, Morphology and genesis of giant seafloor depressions on the southeasterncontinental shelf of the Korean Peninsula: Marine Geology, v. 415, 105966, 13 p., https://doi.org/10.1016/j.margeo.2019.105966.","productDescription":"105966, 13 p.","ipdsId":"IP-106382","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"North Korea, South Korea","otherGeospatial":"Korea Strait","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              127.869873046875,\n              33.284619968887675\n            ],\n            [\n              130.97900390625,\n              33.284619968887675\n            ],\n            [\n              130.97900390625,\n              37.18657859524883\n            ],\n            [\n              127.869873046875,\n              37.18657859524883\n            ],\n            [\n              127.869873046875,\n              33.284619968887675\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"415","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cukur, Deniz","contributorId":216636,"corporation":false,"usgs":false,"family":"Cukur","given":"Deniz","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kong, Gee-Soo","contributorId":216637,"corporation":false,"usgs":false,"family":"Kong","given":"Gee-Soo","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chun, Jong-Hwa","contributorId":216638,"corporation":false,"usgs":false,"family":"Chun","given":"Jong-Hwa","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kang, Moo-Hee","contributorId":216639,"corporation":false,"usgs":false,"family":"Kang","given":"Moo-Hee","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Um, In-Kwon","contributorId":216640,"corporation":false,"usgs":false,"family":"Um","given":"In-Kwon","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kwon, Taekhyun","contributorId":216641,"corporation":false,"usgs":false,"family":"Kwon","given":"Taekhyun","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jordan, Samuel E. 0000-0001-6074-3330","orcid":"https://orcid.org/0000-0001-6074-3330","contributorId":216635,"corporation":false,"usgs":true,"family":"Jordan","given":"Samuel","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":765220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kim, Kyong-O","contributorId":216642,"corporation":false,"usgs":false,"family":"Kim","given":"Kyong-O","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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