{"pageNumber":"1190","pageRowStart":"29725","pageSize":"25","recordCount":184937,"records":[{"id":70169156,"text":"70169156 - 2015 - Monitoring digestibility of forages for herbivores: a new application for an old approach","interactions":[],"lastModifiedDate":"2016-03-23T09:58:57","indexId":"70169156","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring digestibility of forages for herbivores: a new application for an old approach","docAbstract":"

Ruminant populations are often limited by how well individuals are able to acquire nutrients for growth, maintenance, and reproduction. Nutrient supply to the animal is dictated by the concentration of nutrients in feeds and the efficiency of digesting those nutrients (i.e., digestibility). Many different methods have been used to measure digestibility of forages for wild herbivores, all of which rely on collecting rumen fluid from animals or incubation within animals. Animal-based methods can provide useful estimates, but the approach is limited by the expense of fistulated animals, wide variation in digestibility among animals, and contamination from endogenous and microbial sources that impairs the estimation of nutrient digestibility. We tested an in vitro method using a two-stage procedure using purified enzymes. The first stage, a 6 h acid–pepsin treatment, was followed by a combined 72 h amylase–cellulase or amylase–Viscozyme treatment. We then validated our estimates using in sacco and in vivo methods to digest samples of the same forages. In vitro estimates of dry matter (DM) digestibility were correlated with estimates of in sacco and in vivo DM digestibility (both P < 0.01). The in vitro procedure using Viscozyme (r2 = 0.77) was more precise than the in vitro procedure using cellulase (r2 = 0.59). Both procedures can be used to predict in sacco digestibility after correcting for the biases of each method. We used the in vitro method to measure digestibility of nitrogen (N; 0.07–0.95 g/g), which declined to zero as total N content declined below 0.03–0.06 g/g of DM. The in vitro method is well suited to monitoring forage quality over multiple years because it is reproducible, can be used with minimal investment by other laboratories without animal facilities, and can measure digestibility of individual nutrients such as N.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2014-0207","usgsCitation":"Vansomeren, L.L., Barboza, P.S., Thompson, D.P., and Gustine, D.D., 2015, Monitoring digestibility of forages for herbivores: a new application for an old approach: Canadian Journal of Zoology, v. 93, no. 3, p. 187-195, https://doi.org/10.1139/cjz-2014-0207.","productDescription":"9 p.","startPage":"187","endPage":"195","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057218","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":319202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f3be46e4b0f59b85e02eb0","contributors":{"authors":[{"text":"Vansomeren, Lindsey L.","contributorId":167723,"corporation":false,"usgs":false,"family":"Vansomeren","given":"Lindsey","email":"","middleInitial":"L.","affiliations":[{"id":24816,"text":"Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK","active":true,"usgs":false}],"preferred":false,"id":623254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, Perry S.","contributorId":36454,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","email":"","middleInitial":"S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":623255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Daniel P.","contributorId":167724,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":24817,"text":"Alaska Department of Fish and Game, Division of Wildlife Conservation, Soldotna, AK","active":true,"usgs":false}],"preferred":false,"id":623256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","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":623253,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70132453,"text":"70132453 - 2015 - Assessing the geologic and climatic forcing of biodiversity and evolution surrounding the Gulf of California","interactions":[],"lastModifiedDate":"2016-07-08T14:06:37","indexId":"70132453","displayToPublicDate":"2015-12-31T23:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5129,"text":"Journal of the Southwest","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the geologic and climatic forcing of biodiversity and evolution surrounding the Gulf of California","docAbstract":"

For almost a century the Baja California peninsula (Peninsula), Gulf of California (Gulf), and broader Sonoran Desert region (figure 1) have drawn geologists and biologists alike to study its unique physical and evolutionary processes (e.g., Wittich 1920; Darton 1921; Nelson 1921; Johnston 1924; Beal 1948; Durham and Allison 1960). The challenge remains to untangle the long, intricate, and at times enigmatic geological and climatological histories that have shaped the high levels of endemism and biodiversity observed in the region today (Van Devender 1990; Grismer 2000; Riddle et al. 2000).

","language":"English","publisher":"Project MUSE","doi":"10.1353/jsw.2015.0005","usgsCitation":"Dolby, G., Bennett, S.E., Lira-Noriega, A., Wilder, B.T., and Munguia-Vega, A., 2015, Assessing the geologic and climatic forcing of biodiversity and evolution surrounding the Gulf of California: Journal of the Southwest, v. 57, no. 2-3, p. 391-455, https://doi.org/10.1353/jsw.2015.0005.","productDescription":"65 p.","startPage":"391","endPage":"455","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060629","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Gulf of California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.1142578125,\n 32.10118973232094\n ],\n [\n -114.47753906249999,\n 31.840232667909365\n ],\n [\n -112.8076171875,\n 31.203404950917395\n ],\n [\n -104.501953125,\n 21.28937435586041\n ],\n [\n -105.732421875,\n 20.138470312451155\n ],\n [\n -111.533203125,\n 22.14670778001263\n ],\n [\n -115.8837890625,\n 28.110748760633534\n ],\n [\n -117.1142578125,\n 32.10118973232094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb0e4b08116168222b2","contributors":{"authors":[{"text":"Dolby, Greer","contributorId":127027,"corporation":false,"usgs":false,"family":"Dolby","given":"Greer","affiliations":[{"id":6772,"text":"UC Los Angeles","active":true,"usgs":false}],"preferred":false,"id":522907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":522908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lira-Noriega, Andres","contributorId":127028,"corporation":false,"usgs":false,"family":"Lira-Noriega","given":"Andres","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":522909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilder, Benjamin T.","contributorId":40518,"corporation":false,"usgs":true,"family":"Wilder","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":522910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munguia-Vega, Adrian","contributorId":56909,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":522911,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177916,"text":"70177916 - 2015 - Accelerating advances in continental domain hydrologic modeling","interactions":[],"lastModifiedDate":"2017-02-13T13:53:00","indexId":"70177916","displayToPublicDate":"2015-12-31T18:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Accelerating advances in continental domain hydrologic modeling","docAbstract":"

In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from a catchment hydrology community perspective, provides a review of progress in each community toward this achievement, identifies common challenges the communities face, and details immediate and specific areas in which these communities can mutually benefit one another from the convergence of their research perspectives. Those include: (1) creating new incentives and infrastructure to report and share model inputs, outputs, and parameters in data services and open access, machine-independent formats for model replication or reanalysis; (2) ensuring that hydrologic models have: sufficient complexity to represent the dominant physical processes and adequate representation of anthropogenic impacts on the terrestrial water cycle, a process-based approach to model parameter estimation, and appropriate parameterizations to represent large-scale fluxes and scaling behavior; (3) maintaining a balance between model complexity and data availability as well as uncertainties; and (4) quantifying and communicating significant advancements toward these modeling goals.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017498","usgsCitation":"Archfield, S.A., Clark, M., Arheimer, B., Hay, L.E., McMillan, H., Kiang, J.E., Seibert, J., Hakala, K., Bock, A.R., Wagener, T., Farmer, W.H., Andreassian, V., Attinger, S., Viglione, A., Knight, R., Markstrom, S.L., and Over, T.M., 2015, Accelerating advances in continental domain hydrologic modeling: Water Resources Research, v. 51, no. 12, p. 10078-10091, https://doi.org/10.1002/2015WR017498.","productDescription":"14 p.","startPage":"10078","endPage":"10091","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069653","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017498","text":"Publisher Index Page"},{"id":330412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-31","publicationStatus":"PW","scienceBaseUri":"5811c0f4e4b0f497e79a5a8b","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":652204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn","contributorId":176319,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","affiliations":[],"preferred":false,"id":652205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arheimer, Berit","contributorId":176320,"corporation":false,"usgs":false,"family":"Arheimer","given":"Berit","email":"","affiliations":[],"preferred":false,"id":652206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":652207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMillan, Hilary","contributorId":176321,"corporation":false,"usgs":false,"family":"McMillan","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":652208,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":652209,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":652210,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hakala, Kirsti","contributorId":176327,"corporation":false,"usgs":false,"family":"Hakala","given":"Kirsti","email":"","affiliations":[],"preferred":false,"id":652211,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652212,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagener, Thorsten","contributorId":176323,"corporation":false,"usgs":false,"family":"Wagener","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":652213,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":652214,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Andreassian, Vazken","contributorId":176324,"corporation":false,"usgs":false,"family":"Andreassian","given":"Vazken","email":"","affiliations":[],"preferred":false,"id":652215,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Attinger, Sabine","contributorId":176325,"corporation":false,"usgs":false,"family":"Attinger","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":652216,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Viglione, Alberto","contributorId":176326,"corporation":false,"usgs":false,"family":"Viglione","given":"Alberto","email":"","affiliations":[],"preferred":false,"id":652217,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652218,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":652219,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652220,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70160794,"text":"70160794 - 2015 - Factors influencing capture of invasive sea lamprey in traps baited with a synthesized sex pheromone component","interactions":[],"lastModifiedDate":"2015-12-31T12:29:41","indexId":"70160794","displayToPublicDate":"2015-12-31T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing capture of invasive sea lamprey in traps baited with a synthesized sex pheromone component","docAbstract":"

The sea lamprey, Petromyzon marinus, is emerging as a model organism for understanding how pheromones can be used for manipulating vertebrate behavior in an integrated pest management program. In a previous study, a synthetic sex pheromone component 7α,12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3kPZS) was applied to sea lamprey traps in eight streams at a final in-stream concentration of 10−12 M. Application of 3kPZS increased sea lamprey catch, but where and when 3kPZS had the greatest impact was not determined. Here, by applying 3kPZS to additional streams, we determined that overall increases in yearly exploitation rate (proportion of sea lampreys that were marked, released, and subsequently recaptured) were highest (20–40 %) in wide streams (~40 m) with low adult sea lamprey abundance (<1000). Wide streams with low adult abundance may be representative of low-attraction systems for adult sea lamprey and, in the absence of other attractants (larval odor, sex pheromone), sea lamprey may have been more responsive to a partial sex pheromone blend emitted from traps. Furthermore, we found that the largest and most consistent responses to 3kPZS were during nights early in the trapping season, when water temperatures were increasing. This may have occurred because, during periods of increasing water temperatures, sea lamprey become more active and males at large may not have begun to release sex pheromone. In general, our results are consistent with those for pheromones of invertebrates, which are most effective when pest density is low and when pheromone competition is low.

","language":"English","publisher":"Springer","doi":"10.1007/s10886-015-0626-2","usgsCitation":"Johnson, N., Siefkes, M.J., Wagner, C.M., Bravener, G., Steeves, T., Twohey, M., and Li, W., 2015, Factors influencing capture of invasive sea lamprey in traps baited with a synthesized sex pheromone component: Journal of Chemical Ecology, v. 41, no. 10, p. 913-923, https://doi.org/10.1007/s10886-015-0626-2.","productDescription":"11 p.","startPage":"913","endPage":"923","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066934","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-23","publicationStatus":"PW","scienceBaseUri":"568651b6e4b0e7594ee74c9e","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, C. Michael","contributorId":145442,"corporation":false,"usgs":false,"family":"Wagner","given":"C.","email":"","middleInitial":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":583926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steeves, Todd","contributorId":59337,"corporation":false,"usgs":true,"family":"Steeves","given":"Todd","affiliations":[],"preferred":false,"id":583923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Twohey, Michael","contributorId":80170,"corporation":false,"usgs":true,"family":"Twohey","given":"Michael","affiliations":[],"preferred":false,"id":583924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583925,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160805,"text":"70160805 - 2015 - Functional role of an endophytic Bacillus amyloliquefaciens in enhancing growth and disease protection of invasive English ivy (Hedera helix L.)","interactions":[],"lastModifiedDate":"2016-07-22T15:35:49","indexId":"70160805","displayToPublicDate":"2015-12-31T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Functional role of an endophytic Bacillus amyloliquefaciens in enhancing growth and disease protection of invasive English ivy (Hedera helix L.)","docAbstract":"

Background

We hypothesize that invasive English ivy (Hedera helix) harbors endophytic microbes that promote plant growth and survival. To evaluate this hypothesis, we examined endophytic bacteria in English ivy and evaluated effects on the host plant.

Methods

Endophytic bacteria were isolated from multiple populations of English ivy in New Brunswick, NJ. Bacteria were identified as a single species Bacillus amyloliquefaciens. One strain of B. amyloliquefaciens, strain C6c, was characterized for indoleacetic acid (IAA) production, secretion of hydrolytic enzymes, phosphate solubilization, and antibiosis against pathogens. PCR was used to amplify lipopeptide genes and their secretion into culture media was detected by MALDI-TOF mass spectrometry. Capability to promote growth of English ivy was evaluated in greenhouse experiments. The capacity of C6c to protect plants from disease was evaluated by exposing B+ (bacterium inoculated) and B− (non-inoculated) plants to the necrotrophic pathogen Alternaria tenuissima.

Results

B. amyloliquefaciens C6c systemically colonized leaves, petioles, and seeds of English ivy. C6c synthesized IAA and inhibited plant pathogens. MALDI-TOF mass spectrometry analysis revealed secretion of antifungal lipopeptides surfactin, iturin, bacillomycin, and fengycin. C6c promoted the growth of English ivy in low and high soil nitrogen conditions. This endophytic bacterium efficiently controlled disease caused by Alternaria tenuissima.

Conclusions

This study suggests that B. amyloliquefaciens plays an important role in enhancing growth and disease protection of English ivy.

","language":"English","publisher":"Springer","doi":"10.1007/s11104-015-2638-7","usgsCitation":"Soares, M.A., Li, J., Bergen, M., da Silva, J.M., Kowalski, K., and White, J.F., 2015, Functional role of an endophytic Bacillus amyloliquefaciens in enhancing growth and disease protection of invasive English ivy (Hedera helix L.): Plant and Soil, v. 405, no. 1, p. 107-123, https://doi.org/10.1007/s11104-015-2638-7.","productDescription":"17 p.","startPage":"107","endPage":"123","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065328","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"405","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-22","publicationStatus":"PW","scienceBaseUri":"568651b8e4b0e7594ee74ca0","contributors":{"authors":[{"text":"Soares, Marcos Antonio","contributorId":151011,"corporation":false,"usgs":false,"family":"Soares","given":"Marcos","email":"","middleInitial":"Antonio","affiliations":[{"id":18163,"text":"Federal University of Mato Grosso","active":true,"usgs":false}],"preferred":false,"id":583970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Jai-Yan","contributorId":151012,"corporation":false,"usgs":false,"family":"Li","given":"Jai-Yan","email":"","affiliations":[{"id":18164,"text":"Kunming University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":583971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergen, Marshall","contributorId":151013,"corporation":false,"usgs":false,"family":"Bergen","given":"Marshall","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":583972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Silva, Joaquim Manoel","contributorId":151014,"corporation":false,"usgs":false,"family":"da Silva","given":"Joaquim","email":"","middleInitial":"Manoel","affiliations":[{"id":18165,"text":"University of the State of Mato Grosso","active":true,"usgs":false}],"preferred":false,"id":583973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, James Francis","contributorId":151015,"corporation":false,"usgs":false,"family":"White","given":"James","email":"","middleInitial":"Francis","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":583974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70160806,"text":"70160806 - 2015 - Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach","interactions":[],"lastModifiedDate":"2016-06-24T11:03:33","indexId":"70160806","displayToPublicDate":"2015-12-31T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach","docAbstract":"

We evaluated the ecosystem regime shift in the main basin of Lake Huron that was indicated by the 2003 collapse of alewives, and dramatic declines in Chinook salmon abundance thereafter. We found that the period of 1995-2002 should be considered as the early phase of the final regime shift. We developed two Bayesian hierarchical models to describe time-varying growth based on the von Bertalanffy growth function and the length-mass relationship. We used asymptotic length as an index of growth potential, and predicted body mass at a given length as an index of body condition. Modeling fits to length and body mass at age of lake trout, Chinook salmon, and walleye were excellent. Based on posterior distributions, we evaluated the shifts in among-year geometric means of the growth potential and body condition. For a given top piscivore, one of the two indices responded to the regime shift much earlier than the 2003 collapse of alewives, the other corresponded to the 2003 changes, and which index provided the early signal differed among the three top piscivores.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0235","usgsCitation":"He, J.X., Bence, J., Roseman, E., Fielder, D.G., and Ebener, M.P., 2015, Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 7, p. 1092-1103, https://doi.org/10.1139/cjfas-2015-0235.","productDescription":"12 p.","startPage":"1092","endPage":"1103","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065491","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471536,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0235","text":"External Repository"},{"id":313137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.70458984375,\n 46.057985244793024\n ],\n [\n -84.74853515625,\n 45.71385093029221\n ],\n [\n -83.441162109375,\n 45.29034662473615\n ],\n [\n -83.49609375,\n 44.99588261816546\n ],\n [\n -83.34228515625,\n 44.86365630540611\n ],\n [\n -83.33129882812499,\n 44.34742225636393\n ],\n [\n -83.5400390625,\n 44.29240108529005\n ],\n [\n -83.91357421875,\n 43.98491011404692\n ],\n [\n -83.94653320312499,\n 43.691707903073805\n ],\n [\n -83.69384765625,\n 43.56447158721811\n ],\n [\n -83.232421875,\n 43.97700467496408\n ],\n [\n -82.85888671875,\n 44.071800467511565\n ],\n [\n -82.694091796875,\n 43.929549935614595\n ],\n [\n -82.4853515625,\n 42.97250158602597\n ],\n [\n -81.683349609375,\n 43.33316939281735\n ],\n [\n -81.727294921875,\n 44.09547572946635\n ],\n [\n -81.265869140625,\n 44.63739123445585\n ],\n [\n -81.815185546875,\n 45.52944081525666\n ],\n [\n -82.81494140625,\n 45.79050946752472\n ],\n [\n -83.638916015625,\n 45.9511496866914\n ],\n [\n -84.70458984375,\n 46.057985244793024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568651bce4b0e7594ee74ca5","contributors":{"authors":[{"text":"He, Ji X.","contributorId":53254,"corporation":false,"usgs":true,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":583976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":534,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fielder, David G.","contributorId":127528,"corporation":false,"usgs":false,"family":"Fielder","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":583978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":583979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155945,"text":"70155945 - 2015 - Towards forecasting the retreat of California’s coastal cliffs during the 21st century","interactions":[],"lastModifiedDate":"2021-01-14T19:01:27.700656","indexId":"70155945","displayToPublicDate":"2015-12-31T12:56:33","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Towards forecasting the retreat of California’s coastal cliffs during the 21st century","docAbstract":"

In California, sea-level rise during the 21st century threatens to accelerate coastal cliff recession rates. To forecast such changes for managers and policymakers, models must play a key role. In this paper, we extend a ~70-year long dataset of measured historic sea cliff retreat rates in Southern California into the 21st century using a suite of simple analytical and empirical models. Ensemble results suggest that coastal cliff recession rates could increase on average by 0.09-0.22 m yr-1 for a 0.5-1.0 m rise in sea level by 2100, 27-67% faster than historical rates. The basic models used herein will serve as a baseline against which more complex, process-based and statistical (Bayesian) forecasts will be compared. The application of different models, with varying levels of detail, to the same geomorphic problem will provide a comprehensive forecast and address the question of how to reduce model complexity while minimizing uncertainty.

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Edge effects on nesting success have been documented in breeding birds in a variety of contexts, but there is still uncertainty in how edge type and spatial scale determine the magnitude and detectability of edge effects. Habitat edges are often viewed as predator corridors that surround or penetrate core habitat and increase the risk of predation for nearby nests. We studied the effects of three different types of potential predator corridors (main perimeter roads, field boundaries, and ATV trails within fields) on waterfowl nest survival in California. We measured the distance from duck nests to the nearest edge of each type, and used distance as a covariate in a logistic exposure analysis of nest survival. We found only weak evidence for edge effects due to predation. The best supported model of nest survival included all three distance categories, and while all coefficient estimates were positive (indicating that survival increased with distance from edge), 85% coefficient confidence intervals approached or bounded zero indicating an overall weak effect of habitat edges on nest success. We suggest that given the configuration of edges at our site, there may be few areas far enough from hard edges to be considered ‘core’ habitat, making edge effects on nest survival particularly difficult to detect.

","language":"English","publisher":"Netherlands Ornithologists' Union","publisherLocation":"Amsterdam","doi":"10.5253/arde.v103i2.a4","collaboration":"USFWS; CADFW; UCD","usgsCitation":"Raquel, A.J., Ringelman, K.M., Ackerman, J., and Eadie, J.M., 2015, Habitat edges have weak effects on duck nest survival at local spatial scales: Ardea, v. 103, no. 2, p. 155-162, https://doi.org/10.5253/arde.v103i2.a4.","productDescription":"8 p.","startPage":"155","endPage":"162","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054133","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":313913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568e490de4b0e7a44bc419c2","contributors":{"authors":[{"text":"Raquel, Amelia J","contributorId":151064,"corporation":false,"usgs":false,"family":"Raquel","given":"Amelia","email":"","middleInitial":"J","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":584212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringelman, Kevin M.","contributorId":95806,"corporation":false,"usgs":true,"family":"Ringelman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":584213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":584211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":584214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187176,"text":"70187176 - 2015 - A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions","interactions":[],"lastModifiedDate":"2024-07-03T16:07:30.835992","indexId":"70187176","displayToPublicDate":"2015-12-31T10:50:56","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Evaluation of drought and drought impacts through interdisciplinary methods","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Global Change Research Centre","usgsCitation":"Wardlow, B.D., Tadesse, T., Brown, J.F., Svoboda, M., Hayes, M., Callahan, K., Poulsen, C., Hain, C., Anderson, M., Rodell, M., and Mocko, D., 2015, A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions, in Evaluation of drought and drought impacts through interdisciplinary methods, p. 84-89.","productDescription":"6 p.","startPage":"84","endPage":"89","ipdsId":"IP-066843","costCenters":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"links":[{"id":430770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wardlow, Brian D. 0000-0002-4767-581X","orcid":"https://orcid.org/0000-0002-4767-581X","contributorId":191403,"corporation":false,"usgs":false,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tadesse, T.","contributorId":191404,"corporation":false,"usgs":false,"family":"Tadesse","given":"T.","affiliations":[],"preferred":false,"id":692936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","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":692934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, M.","contributorId":74604,"corporation":false,"usgs":true,"family":"Svoboda","given":"M.","email":"","affiliations":[],"preferred":false,"id":905592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, M.","contributorId":68138,"corporation":false,"usgs":true,"family":"Hayes","given":"M.","affiliations":[],"preferred":false,"id":905593,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Callahan, K.","contributorId":339920,"corporation":false,"usgs":false,"family":"Callahan","given":"K.","email":"","affiliations":[],"preferred":false,"id":905594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulsen, C.","contributorId":339921,"corporation":false,"usgs":false,"family":"Poulsen","given":"C.","email":"","affiliations":[],"preferred":false,"id":905595,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hain, C.","contributorId":339922,"corporation":false,"usgs":false,"family":"Hain","given":"C.","email":"","affiliations":[],"preferred":false,"id":905596,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, M.","contributorId":63141,"corporation":false,"usgs":true,"family":"Anderson","given":"M.","affiliations":[],"preferred":false,"id":905597,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rodell, M.","contributorId":339923,"corporation":false,"usgs":false,"family":"Rodell","given":"M.","email":"","affiliations":[],"preferred":false,"id":905598,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mocko, D.","contributorId":339924,"corporation":false,"usgs":false,"family":"Mocko","given":"D.","affiliations":[],"preferred":false,"id":905599,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70155008,"text":"70155008 - 2015 - Adapting the U.S. National Hydrography Dataset to linked open data","interactions":[],"lastModifiedDate":"2022-01-04T16:15:23.830197","indexId":"70155008","displayToPublicDate":"2015-12-31T10:10:50","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Adapting the U.S. National Hydrography Dataset to linked open data","docAbstract":"

A controlled vocabulary for the National Hydrography Dataset (NHD) of the United States was developed as Linked Open Data (LOD). The vocabulary has two main parts: a glossary and a set of triples reflecting the NHD data model as it is organized in geographic information systems (GIS). The glossary consists of a feature type label and a comment consisting of a definition that is linked to a hydrographic feature type standard. The ontology of the data model consists of classes and properties that group and relate sets of individual features. The objective of the project is to draw on the glossary and the “triplified” data model to build formal semantics for a basic form of NHD as LOD. Modifications were made primarily to the specification of feature types for the data.

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Large bottom roughness is a characteristic of most coral reef environments and this has been shown to have a substantial impact on hydrodynamic processes in these environments. In this paper, we evaluate suspended sediment concentration (SSC) data as well detailed hydrodynamic data over a coral reef flat in Ningaloo Reef, Western Australia, to understand how this bottom roughness affects these processes. A well-developed logarithmic velocity layer consistently developed above a canopy layer during the experiment. Estimates of bottom stresses from these logarithmic profiles were comparable with estimates obtained directly from turbulent Reynolds stresses, and an order of magnitude greater than those typically reported for sandy beach environments having similar flow. Nevertheless, the sediment grain size distribution of the suspended load was very fine relative to what should be mobilized by these stresses, indicated the large roughness substantially suppressed sediment transport.

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The U.S. Geological Survey, in cooperation with the Town of Framingham, Massachusetts, has investigated the potential of proposed groundwater withdrawals at the Birch Road well site to affect nearby surface water bodies and wetlands, including Lake Cochituate, the Sudbury River, and the Great Meadows National Wildlife Refuge in east-central Massachusetts. In 2012, the U.S. Geological Survey developed a Phase 1 numerical groundwater model of a complex glacial-sediment aquifer to synthesize hydrogeologic information and simulate potential future pumping scenarios. The model was developed with MODFLOW-NWT, an updated version of a standard USGS numerical groundwater flow modeling program that improves solution of unconfined groundwater flow problems. The groundwater model and investigations of the aquifer improved understanding of groundwater–surface-water interaction and the effects of groundwater withdrawals on surface-water bodies and wetlands in the study area. The initial work also revealed a need for additional information and model refinements to better understand this complex aquifer system.

\n

In this second phase of the study, the original groundwater flow model was revised to improve representation of groundwater and surface-water hydrology, stabilize the model, and reduce model error. The model was simplified by reducing the number of layers from 5 to 3 and adding the MODFLOW lake package (LAK) to simulate Lake Cochituate and Pod Meadow Pond and better represent interaction between the lakes and the aquifer. Model revisions improved stability and shortened run times, allowing use of automated parameter estimation software (PEST) to further refine the model hydraulic parameters and reduce simulation errors.

\n

Model simulations indicate that under average base-flow conditions, the Birch Road wells have a small effect on flow in the Sudbury River during most months, even at the maximum pumping rate of 4.9 ft3/s (3.17 Mgal/d). Maximum percent streamflow depletion in the Sudbury River caused by simulated pumping takes place during simulated drought conditions, when streamflow decreased by as much as 21 percent under maximum continuous pumping. Simulations also indicate that groundwater withdrawals at the Birch Road site could be managed so that adverse streamflow impacts are substantially ameliorated. Under the most ecologically conservative simulated drought conditions, simulated streamflow depletion was reduced from 21 percent to 3 percent by pumping at the maximum rate for 6 months rather than for 12 months. Simulations that return 10 percent of the Birch Road well withdrawals to Pod Meadow Pond indicate a modest reduction in the Sudbury River streamflow depletion and provide a larger percentage increase to streamflow just downstream of the pond. The groundwater model also indicates that well locations can have a large effect on the sustainable pumping rate and so should be chosen carefully. The model provides a tool for evaluating alternative pumping rates and schedules not included in this analysis.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155174","collaboration":"Prepared in cooperation with the Town of Framingham, Massachusetts","usgsCitation":"Eggleston, J.R., Zarriello, P.J., and Carlson, C.S., 2015, Groundwater and surface-water interaction and effects of pumping in a complex glacial-sediment aquifer, Phase 2, east-central Massachusetts: U.S. Geological Survey Scientific Investigations Report 2015–5174, 38 p., https://dx.doi.org/10.3133/sir20155174.","productDescription":"viii, 38 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070584","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":312906,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5174/sir20155174.pdf","text":"Report","size":"2.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5174"},{"id":312905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5174/coverthb.jpg"}],"country":"United States","state":"Massachusetts","city":"Framingham","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.40366554260254,\n 42.311021393971345\n ],\n [\n -71.40366554260254,\n 42.357085148806945\n ],\n [\n -71.36615753173828,\n 42.357085148806945\n ],\n [\n -71.36615753173828,\n 42.311021393971345\n ],\n [\n -71.40366554260254,\n 42.311021393971345\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at:
http://newengland.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2015-12-31","noUsgsAuthors":false,"publicationDate":"2015-12-31","publicationStatus":"PW","scienceBaseUri":"568651b8e4b0e7594ee74ca2","contributors":{"authors":[{"text":"Eggleston, Jack R.","contributorId":20011,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":581682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581684,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223761,"text":"70223761 - 2015 - Paleoclimate and the origin of Paleozoic chert: Time to re-examine the origins of chert in the rock record","interactions":[],"lastModifiedDate":"2021-09-07T14:56:48.201801","indexId":"70223761","displayToPublicDate":"2015-12-31T09:54:02","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9327,"text":"Sedimentary Record","active":true,"publicationSubtype":{"id":10}},"title":"Paleoclimate and the origin of Paleozoic chert: Time to re-examine the origins of chert in the rock record","docAbstract":"

No abstract available.

","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/sedred.2015.3.4","usgsCitation":"Cecil, C.B., 2015, Paleoclimate and the origin of Paleozoic chert: Time to re-examine the origins of chert in the rock record: Sedimentary Record, p. 4-10, https://doi.org/10.2110/sedred.2015.3.4.","productDescription":"7 p.","startPage":"4","endPage":"10","ipdsId":"IP-067055","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":471537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2110/sedred.2015.3.4","text":"Publisher Index Page"},{"id":388874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2015-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Cecil, C. Blaine","contributorId":265332,"corporation":false,"usgs":false,"family":"Cecil","given":"C.","email":"","middleInitial":"Blaine","affiliations":[{"id":54650,"text":"USGS Scientist Emeritus","active":true,"usgs":false}],"preferred":false,"id":822563,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70220303,"text":"70220303 - 2015 - Use of historic Persian water system data in groundwater models: Examples from Afghanistan and Emirates","interactions":[],"lastModifiedDate":"2021-05-06T11:47:58.073282","indexId":"70220303","displayToPublicDate":"2015-12-31T08:49:49","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of historic Persian water system data in groundwater models: Examples from Afghanistan and Emirates","docAbstract":"Obtaining calibration data for models depicting conditions during pre-development periods can be challenging as such periods are characteristically data poor. This study presents two examples where simulation of historic water conveyance structures were used to help characterize historic, or pre-modern, conditions in calibration of groundwater flow models. Persian water conveyance structures, called ‘aflaj’ (or singular ‘falaj’) in the Emirates, ‘karezes’ in Afghanistan, or ‘qanats’ in some other regions, consists of a hand dug tunnels, hundreds to thousands of meters long, that intersect upgradient water table surfaces and convey water downgradient for domestic use and irrigation of small farms. These structures can be identified, using remote imagery, by the presence of regularly spaced access holes that were used to create and maintain these tunnel systems. This type of water-supply system was commonly used throughout North Africa, the Middle East, and Asia for centuries. They are generally not used today having largely been supplanted by modern groundwater wells, and, in many areas these structures have failed because of water-table declines caused by groundwater development and/or climate change. 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Many of these mechanisms can lead to isotopic fractionation, thus measurement of metal isotopes may yield insights into the processes by which organisms respond to metal exposure. We illustrate these concepts with two case studies, one involving an intra- and the other an extra-cellular mechanism of Zn sequestration. In the first study, the mayfly Neocloeon triangulifer was grown in the laboratory, and fed a diet of Zn-doped diatoms at Zn levels exceeding the requirements for normal mayfly life functions. The N. triangulifer larvae consumed the diatoms and retained their Zn isotopic signature. Upon metamorphosis, the subimago life stage lost Zn mass either in the exuvia or by excretion, and the Zn retained was isotopically enriched. Thus, Zn uptake is nonfractionating, but Zn regulation favors the lighter isotope. Thus the Zn remaining in the subimago was isotopically heavier. In the second study, Zn was adsorbed on the cell walls and exopolysaccharide secretions of cyanobacteria, which favored the heavier Zn isotope. Continued adsorption eventually resulted in nucleation and biomineralization of hydrozincite {Zn5(CO3)2(OH)6}. These case studies demonstrate the utility of Zn isotopes to provide insights into how aquatic insects respond to metal exposure.","conferenceTitle":"11th Applied Isotope Geochemistery Conference AIG-1","conferenceDate":"September 21-25, 2015","conferenceLocation":"Orléans, France","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2015.07.014","usgsCitation":"Wanty, R.B., Balistrieri, L.S., Wesner, J.S., Walters, D., Schmidt, T., Podda, F., De Giudici, G., Stricker, C.A., Kraus, J.M., Lattanzi, P., Wolf, R.E., and Cidu, R., 2015, Isotopic insights into biological regulation of zinc in contaminated systems: Procedia Earth and Planetary Science, v. 13, p. 60-63, https://doi.org/10.1016/j.proeps.2015.07.014.","productDescription":"4 p.","startPage":"60","endPage":"63","ipdsId":"IP-064095","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471544,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2015.07.014","text":"Publisher Index Page"},{"id":341068,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591426bee4b0e541a03e9610","contributors":{"authors":[{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":571155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesner, Jeff S.","contributorId":58202,"corporation":false,"usgs":true,"family":"Wesner","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":571157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":571158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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We found that average cytochrome P4501A induction (as measured by EROD activity) during March 2014 was not elevated in wintering harlequin ducks captured in areas of Prince William Sound oiled by the 1989 Exxon Valdez oil spill, relative to those captured in unoiled areas. This result is consistent with findings from March 2013. We interpret these findings to indicate that exposure of harlequin ducks to residual Exxon Valdez oil abated within 24 years after the original spill. Results from preceding sampling in 2011 indicated that EROD activity was elevated in harlequin ducks in oiled relative to unoiled areas, although the magnitude of elevation was lower than in previous years (1998-2009), suggesting that the rate or intensity of exposure was diminishing by 2011. The data presented in this report add to a growing body of literature indicating that persistence of oil in the environment, and exposure of wildlife to that oil, can occur over much longer time frames than previously assumed.

","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","publisherLocation":"Anchorage, AK","usgsCitation":"Esler, D., Bowen, L., Miles, A.K., Ballachey, B.E., and Bodkin, J.L., 2015, Long-term monitoring program: Evaluating chronic exposure of harlequin ducks and sea otters to lingering Exxon Valdez Oil in Western Prince William Sound, 46 p.","productDescription":"46 p.","ipdsId":"IP-061863","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":342376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164.50927734375,\n 54.533832507944304\n ],\n [\n -164.50927734375,\n 54.20101023973888\n ],\n [\n -163.9599609375,\n 53.77468884583577\n ],\n [\n -162.26806640625,\n 53.74871079689897\n ],\n [\n -159.609375,\n 54.149567212540525\n ],\n [\n -155.85205078125,\n 54.61025498157912\n ],\n [\n -153.6767578125,\n 55.7642131648377\n ],\n [\n -152.314453125,\n 56.27996083172844\n ],\n [\n -144.4921875,\n 60.4788788301667\n ],\n [\n -144.0087890625,\n 60.80206374467983\n ],\n [\n -144.580078125,\n 61.20679804263029\n ],\n [\n -144.7998046875,\n 61.52269494598361\n ],\n [\n -145.74462890625,\n 61.554109444927185\n ],\n [\n -146.44775390625,\n 61.77312286453146\n ],\n [\n -148.6669921875,\n 61.91827102335593\n ],\n [\n -149.6337890625,\n 61.7419302246182\n ],\n [\n -150.6005859375,\n 61.37567331572747\n ],\n [\n -153.91845703125,\n 59.93300042374631\n ],\n [\n -154.51171875,\n 59.567723306212955\n ],\n [\n -155.32470703125,\n 59.108308258604964\n ],\n [\n -155.17089843749997,\n 58.81374171570782\n ],\n [\n -155.50048828125,\n 58.35563036280964\n ],\n [\n -156.533203125,\n 57.69240553526455\n ],\n [\n -159.19189453125,\n 56.64414704199467\n ],\n [\n -160.7958984375,\n 55.91227293006361\n ],\n [\n -162.8173828125,\n 55.2415520356525\n ],\n [\n -164.50927734375,\n 54.533832507944304\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa833e4b0764e6c627954","contributors":{"authors":[{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":540565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":697858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":697859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":540566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":697860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189611,"text":"70189611 - 2015 - Earthquake geology of the Bulnay Fault (Mongolia)","interactions":[],"lastModifiedDate":"2017-07-19T09:56:15","indexId":"70189611","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake geology of the Bulnay Fault (Mongolia)","docAbstract":"

The Bulnay earthquake of July 23, 1905 (Mw 8.3-8.5), in north-central Mongolia, is one of the world's largest recorded intracontinental earthquakes and one of four great earthquakes that occurred in the region during the 20th century. The 375-km-long surface rupture of the left-lateral, strike-slip, N095°E trending Bulnay Fault associated with this earthquake is remarkable for its pronounced expression across the landscape and for the size of features produced by previous earthquakes. Our field observations suggest that in many areas the width and geometry of the rupture zone is the result of repeated earthquakes; however, in those areas where it is possible to determine that the geomorphic features are the result of the 1905 surface rupture alone, the size of the features produced by this single earthquake are singular in comparison to most other historical strike-slip surface ruptures worldwide. Along the 80 km stretch, between 97.18°E and 98.33°E, the fault zone is characterized by several meters width and the mean left-lateral 1905 offset is 8.9 ± 0.6 m with two measured cumulative offsets that are twice the 1905 slip. These observations suggest that the displacement produced during the penultimate event was similar to the 1905 slip. Morphotectonic analyses carried out at three sites along the eastern part of the Bulnay fault, allow us to estimate a mean horizontal slip rate of 3.1 ± 1.7 mm/yr over the Late Pleistocene-Holocene period. In parallel, paleoseismological investigations show evidence for two earthquakes prior to the 1905 event with recurrence intervals of ~2700-4000 years.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140119","usgsCitation":"Rizza, M., Ritz, J., Prentice, C.S., Vassallo, R., Braucher, R., Larroque, C., Arzhannikova, A., Arzhanikov, S., Mahan, S.A., Massault, M., Michelot, J., and Todbileg, M., 2015, Earthquake geology of the Bulnay Fault (Mongolia): Bulletin of the Seismological Society of America, v. 105, no. 1, p. 72-93, https://doi.org/10.1785/0120140119.","productDescription":"22 p.","startPage":"72","endPage":"93","ipdsId":"IP-060346","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471550,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01179837","text":"External Repository"},{"id":344024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","otherGeospatial":"Bulnay Fault","volume":"105","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-13","publicationStatus":"PW","scienceBaseUri":"59706fb9e4b0d1f9f065a8b9","contributors":{"authors":[{"text":"Rizza, Magali","contributorId":194806,"corporation":false,"usgs":false,"family":"Rizza","given":"Magali","email":"","affiliations":[],"preferred":false,"id":705412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritz, Jean-Franciois","contributorId":194807,"corporation":false,"usgs":false,"family":"Ritz","given":"Jean-Franciois","email":"","affiliations":[],"preferred":false,"id":705413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vassallo, Ricardo","contributorId":194808,"corporation":false,"usgs":false,"family":"Vassallo","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":705414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braucher, Regis","contributorId":194809,"corporation":false,"usgs":false,"family":"Braucher","given":"Regis","email":"","affiliations":[],"preferred":false,"id":705415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larroque, Christophe","contributorId":194810,"corporation":false,"usgs":false,"family":"Larroque","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":705416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arzhannikova, A.","contributorId":194811,"corporation":false,"usgs":false,"family":"Arzhannikova","given":"A.","email":"","affiliations":[],"preferred":false,"id":705417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arzhanikov, S.","contributorId":194812,"corporation":false,"usgs":false,"family":"Arzhanikov","given":"S.","email":"","affiliations":[],"preferred":false,"id":705418,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":705419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Massault, M.","contributorId":194813,"corporation":false,"usgs":false,"family":"Massault","given":"M.","email":"","affiliations":[],"preferred":false,"id":705420,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Michelot, J-L.","contributorId":194814,"corporation":false,"usgs":false,"family":"Michelot","given":"J-L.","email":"","affiliations":[],"preferred":false,"id":705421,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Todbileg, M.","contributorId":194815,"corporation":false,"usgs":false,"family":"Todbileg","given":"M.","email":"","affiliations":[],"preferred":false,"id":705422,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70189620,"text":"70189620 - 2015 - How to recognize a “Beast Quake” and a “Dance Quake”","interactions":[],"lastModifiedDate":"2017-07-19T09:12:12","indexId":"70189620","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"How to recognize a “Beast Quake” and a “Dance Quake”","docAbstract":"

Any good seismologist–carryball (i.e., American football) fan remembers the “beast quake” of 2011. Seahawks fans’ exuberant reactions to a Marshawn Lynch (in beast mode) run caused the stadium to shake enough to be well recorded on a strong‐motion seismograph a block away (Vidale, 2011). With the Seahawks at home for the National Football Conference (NFC) Championship playoffs, both last year and this year, the Pacific Northwest Seismic Network (PNSN) received permission to install some seismometers in the stadium. Motivations for the experiment included testing the field and telemetry equipment, examining analysis and display techniques, and practicing quick reactions to mobilize field experiments. With PNSN students and staff who are also Seahawks fans, it was not hard to get volunteers to do the installations and monitor the on‐field actions and the resulting seismograms.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150053","usgsCitation":"Malone, S., Hall, K., Simmons, L., and Vidale, J., 2015, How to recognize a “Beast Quake” and a “Dance Quake”: Seismological Research Letters, v. 86, no. 3, p. 449-450, https://doi.org/10.1785/0220150053.","productDescription":"2 p.","startPage":"449","endPage":"450","ipdsId":"IP-063791","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"86","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-04","publicationStatus":"PW","scienceBaseUri":"59706fb8e4b0d1f9f065a8ac","contributors":{"authors":[{"text":"Malone, Stephen","contributorId":194841,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","affiliations":[],"preferred":false,"id":705463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Kelley","contributorId":194842,"corporation":false,"usgs":false,"family":"Hall","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":705464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Lynn lynns@usgs.gov","contributorId":194840,"corporation":false,"usgs":true,"family":"Simmons","given":"Lynn","email":"lynns@usgs.gov","affiliations":[],"preferred":true,"id":705462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":705465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189993,"text":"70189993 - 2015 - Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States","interactions":[],"lastModifiedDate":"2017-08-01T15:37:13","indexId":"70189993","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States","docAbstract":"Potentiometric surfaces for Paleozoic strata, based on water well levels and selected drill-stem tests, reveal the control on hydraulic head exerted by outcrops in eastern Kansas and Oklahoma. From outcrop in the east, the westward climb of hydraulic head is much less than that of the land surface, with heads falling so far below land surface that the pressure:depth ratio in eastern Colorado is less than 5.7 kPa/m (0.25 psi/ft). Permian evaporites separate the Paleozoic hydrogeologic units from a Lower Cretaceous (Dakota Group) aquifer, and a highly saline brine plume pervading Paleozoic units in central Kansas and Oklahoma is attributed to dissolution of Permian halite. Underpressure also exists in the Lower Cretaceous hydrogeologic unit in the Denver Basin, which is hydrologically separate from the Paleozoic units. The data used to construct the seven potentiometric surfaces were also used to construct seven maps of pressure:depth ratio. These latter maps are a function of the differences among hydraulic head, land-surface elevation, and formation elevation. As a consequence, maps of pressure:depth ratio reflect the interplay of three topologies that evolved independently with time. As underpressure developed, gas migrated in response to the changing pressure regime, most notably filling the Hugoton gas field in southwestern Kansas. The timing of underpressure development was determined by the timing of outcrop exposure and tilting of the Great Plains. Explorationists in western Kansas and eastern Colorado should not be surprised if a reservoir is underpressured; rather, they should be surprised if it is not.","language":"English","publisher":"AAPG","doi":"10.1306/04171514169","usgsCitation":"Nelson, P.H., Gianoutsos, N.J., and Drake II, R.M., 2015, Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States: AAPG Bulletin, v. 99, no. 10, p. 1861-1892, https://doi.org/10.1306/04171514169.","productDescription":"32 p.","startPage":"1861","endPage":"1892","ipdsId":"IP-059467","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Colorado, Kansas, Iowa, Missouri, Nebraska, New Mexico, Oklahoma, Texas, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.2705078125,\n 43.45291889355465\n ],\n [\n -107.4462890625,\n 33.211116472416855\n ],\n [\n -91.8896484375,\n 33.00866349457558\n ],\n [\n -92.28515625,\n 43.51668853502906\n ],\n [\n -107.2705078125,\n 43.45291889355465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b79f","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147404,"text":"70147404 - 2015 - Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project","interactions":[],"lastModifiedDate":"2017-06-12T09:04:39","indexId":"70147404","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project","docAbstract":"Ground-motions for the PEER NGA-East project were simulated using a point-source stochastic method. The simulated motions are provided for distances between of 0 and 1200 km, M from 4 to 8, and 25 ground-motion intensity measures: peak ground velocity (PGV), peak ground acceleration (PGA), and 5%-damped pseudoabsolute response spectral acceleration (PSA) for 23 periods ranging from 0.01 s to 10.0 s. Tables of motions are provided for each of six attenuation models. The attenuation-model-dependent stress parameters used in the stochastic-method simulations were derived from inversion of PSA data from eight earthquakes in eastern North America.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NGA-East Median Ground-Motion Models for the Central and Eastern North America Region","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Pacific Earthquake Engineering Research Center (PEER)","publisherLocation":"Berkeley, CA","usgsCitation":"Boore, D., 2015, Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project, 39 p.","productDescription":"39 p.","startPage":"11","endPage":"49","ipdsId":"IP-062687","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342368,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://peer.berkeley.edu/publications/peer_reports/reports_2015/reports_2015.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa831e4b0764e6c62794b","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189088,"text":"70189088 - 2015 - Active-source electromagnetic methods: Chapter 11.10","interactions":[],"lastModifiedDate":"2017-06-29T15:05:57","indexId":"70189088","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Active-source electromagnetic methods: Chapter 11.10","docAbstract":"

No abstract available

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geophysics","language":"English","publisher":"Elsevier","publisherLocation":"Boston","usgsCitation":"Fitterman, D.V., 2015, Active-source electromagnetic methods: Chapter 11.10, chap. of Treatise on Geophysics, p. 295-333.","productDescription":"39 p.","startPage":"295","endPage":"333","ipdsId":"IP-044078","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343163,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/treatise-on-geophysics/schubert/978-0-444-53802-4"}],"edition":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611b9e4b0d1f9f050676f","contributors":{"editors":[{"text":"Romanowicz, B.","contributorId":33176,"corporation":false,"usgs":true,"family":"Romanowicz","given":"B.","email":"","affiliations":[],"preferred":false,"id":702861,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dziewonski, Adam","contributorId":194002,"corporation":false,"usgs":false,"family":"Dziewonski","given":"Adam","email":"","affiliations":[],"preferred":false,"id":702862,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702814,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189616,"text":"70189616 - 2015 - Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States","interactions":[],"lastModifiedDate":"2017-07-19T11:10:27","indexId":"70189616","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States","docAbstract":"

Although instrumental recordings of earthquakes in the central and eastern United States (CEUS) remain sparse, the U. S. Geological Survey's “Did you feel it?” (DYFI) system now provides excellent characterization of shaking intensities caused by induced and tectonic earthquakes. Seventeen CEUS events are considered between 2013 and 2015. It is shown that for 15 events, observed intensities at epicentral distances greater than ≈ 10 km are lower than expected given a published intensity-prediction equation for the region. Using simple published relations among intensity, magnitude, and stress drop, the results suggest that 15 of the 17 events have low stress drop. For those 15 events, intensities within ≈ 10-km epicentral distance are closer to predicted values, which can be explained as a consequence of relatively shallow source depths. The results suggest that those 15 events, most of which occurred in areas where induced earthquakes have occurred previously, were likely induced. Although moderate injection-induced earthquakes in the central and eastern United States will be felt widely because of low regional attenuation, the damage from shallow earthquakes induced by injection will be more localized to event epicenters than shaking tectonic earthquakes, which tend to be somewhat deeper. Within approximately 10 km of the epicenter, intensities are generally commensurate with predicted levels expected for the event magnitude.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle34060690.1","usgsCitation":"Hough, S.E., 2015, Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States: The Leading Edge, v. 34, no. 6, p. 690-697, https://doi.org/10.1190/tle34060690.1.","productDescription":"6 p.","startPage":"690","endPage":"697","ipdsId":"IP-063054","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.89257812499999,\n 41.178653972331674\n ],\n [\n -106.171875,\n 44.77793589631623\n ],\n [\n -106.12792968749999,\n 42.97250158602597\n ],\n [\n -104.94140625,\n 32.76880048488168\n ],\n [\n -81.5185546875,\n 33.358061612778876\n ],\n [\n -79.89257812499999,\n 41.178653972331674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fb8e4b0d1f9f065a8b0","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159438,"text":"70159438 - 2015 - Science foundation Chapter 5 Appendix 5.1: Case study marsh macroinvertebrates","interactions":[],"lastModifiedDate":"2017-05-09T09:01:41","indexId":"70159438","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Science foundation Chapter 5 Appendix 5.1: Case study marsh macroinvertebrates","docAbstract":"

This case study includes representative macroinvertebrates that live in the marsh plain, its associated channels and pannes (ponds), and the marsh-upland transition zone. While less visible than animals such as birds, invertebrates play important roles in physical and biological processes (e.g., burrowing activity and channel bank erosion, and detritivores breaking down organic matter) and are important food resources for higher trophic animals. Common invertebrates in these habitats include plant-hopper (Prokelisia marginata), beach hopper (Traskorchestia traskiana), pygmy blue butterfly (Brephidium exilis), inchworm moth (Perizoma custodiata), western tanarthus beetle (Tanarthus occidentalis), salt marsh mosquitoes (Aedes spp.; Maffei 2000a, Maffei 2000b, Maffei 2000c), crabs (native Hemigrapsus oregonensis and introduced Carcinus maenas), copepods, snails (e.g. native California horn snail Cerithidea californica and introduced Ilyanassa obsoleta, Myosotella myosotis), polychaetes (e.g. Capitella spp., Eteone californica, Neanthes brandti), small clams (Macoma petalum/M. balthica), and corophiid amphipods (Cohen 2011, Race 1982, Robinson et al. 2011). Some common species were described in detail in the San Francisco Bay Goals Project Species and Community Profiles (Goals Project 2000).

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The baylands and climate change what we can do: Baylands ecosystem habitat goals science update 2015","language":"English","publisher":"California State Coastal Conservancy","usgsCitation":"Brusati, E., and Woo, I., 2015, Science foundation Chapter 5 Appendix 5.1: Case study marsh macroinvertebrates, 8 p.","productDescription":"8 p.","ipdsId":"IP-061499","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310744,"type":{"id":15,"text":"Index Page"},"url":"https://baylandsgoals.org/case-studies/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.29406738281249,\n 36.86204269508728\n ],\n [\n -120.8551025390625,\n 36.86204269508728\n ],\n [\n -120.8551025390625,\n 38.44498466889473\n ],\n [\n -123.29406738281249,\n 38.44498466889473\n ],\n [\n -123.29406738281249,\n 36.86204269508728\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d538e4b0e541a03d4525","contributors":{"authors":[{"text":"Brusati, Elizabeth","contributorId":149515,"corporation":false,"usgs":false,"family":"Brusati","given":"Elizabeth","email":"","affiliations":[{"id":17762,"text":"California Invasive Plant Council","active":true,"usgs":false}],"preferred":false,"id":578655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197944,"text":"70197944 - 2015 - 2014 M=6.0 South Napa earthquake triggered widespread aftershocks and stressed several major faults and exotic fault clusters","interactions":[],"lastModifiedDate":"2018-06-28T16:28:25","indexId":"70197944","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"2014 M=6.0 South Napa earthquake triggered widespread aftershocks and stressed several major faults and exotic fault clusters","docAbstract":"The strongest San Francisco Bay area earthquake since the 1989 Mw 7.0 Loma Prieta shock struck near Napa on 24 August 2014. Field mapping (Dawson et al., 2014; Earthquake Engineering Research Institute [EERI], 2014; Brocher et al., 2015) and seismic and geodetic source inversions (Barnhart et al., 2015; Dreger et al., 2015; Wei et al., 2015) indicate that a 15-km-long northwest-trending section of the West Napa Valley fault ruptured in the earthquake. Remarkably, it was the first indisputable surface rupture in the Bay area since 1906. The Napa event, along with other smaller earthquakes such as the 1980 Mw 5.8 Livermore and 1984 Mw 6.2 Morgan Hill events on the Calaveras and Hayward faults over the past 3–4 decades, may indicate that the Bay area region is emerging from the stress shadow of the 1906 Mw 7.8 San Francisco earthquake (Harris and Simpson, 1998; Pollitz et al., 2004). Since 1979, there has been a 140% increase in the rate of Mw≥4.1 shocks (Fig. 1) in the broader Bay area, with most concentrated in a corridor extending north from the 1989 Loma Prieta aftershock zone through the Calaveras, Greenville, Green Valley, Napa, and Rodgers Creek faults east of the San Francisco Bay (Fig. 1a). This corridor roughly coincides with the 1906 stress shadow that is being eroded away by more than a century of stress reaccumulation. The Napa event, as well as the surrounding faults on which we calculate the resulting hazard increases, all lie within this zone.","language":"English","publisher":"American Geophysical Union","doi":"10.1785/0220150102","usgsCitation":"Toda, S., and Stein, R., 2015, 2014 M=6.0 South Napa earthquake triggered widespread aftershocks and stressed several major faults and exotic fault clusters: Seismological Research Letters, v. 86, no. 6, p. 1593-1602, https://doi.org/10.1785/0220150102.","productDescription":"10 p.","startPage":"1593","endPage":"1602","ipdsId":"IP-065333","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5357666015625,\n 36.804886560237236\n ],\n [\n -121.16271972656249,\n 36.804886560237236\n ],\n [\n -121.16271972656249,\n 38.69408504756833\n ],\n [\n -123.5357666015625,\n 38.69408504756833\n ],\n [\n -123.5357666015625,\n 36.804886560237236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-07","publicationStatus":"PW","scienceBaseUri":"5b46e9b7e4b060350a15d34c","contributors":{"authors":[{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":739267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross","contributorId":206051,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193365,"text":"70193365 - 2015 - Extreme variation of sulfur isotopic compositions in pyrite from the Qiuling sediment-hosted gold deposit, West Qinling orogen, central China: An in situ SIMS study with implications for the source of sulfur","interactions":[],"lastModifiedDate":"2017-11-01T09:38:40","indexId":"70193365","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Extreme variation of sulfur isotopic compositions in pyrite from the Qiuling sediment-hosted gold deposit, West Qinling orogen, central China: An in situ SIMS study with implications for the source of sulfur","docAbstract":"High spatial resolution textural (scanning electron microscope (SEM)), chemical (electron microprobe (EMP)) and laser ablation-inductively coupled plasma-mass spec- trometry (LA-ICP-MS)), and sulfur isotopic (secondary ion mass spectrometry (SIMS)) analyses of pyrite from the Qiuling sediment-hosted gold deposit (232±4 Ma) in the West Qinling orogen, central China were conducted to distinguish pyrite types and gain insights into the source and evolution of sulfur in hydrothermal fluids. The results reveal an enormous variation (−27.1 to +69.6‰) in sulfur isotopic composition of pyrite deposited during three paragenetic stages. Pre-ore framboidal pyrite, which is characterized by low concentra- tions of As, Au, Cu, Co, and Ni, has negative δ34S values of −27.1 to −7.6‰ that are interpreted in terms of bacterial re- duction of marine sulfate during sedimentation and diagenesis of the Paleozoic carbonate and clastic sequences, the predom- inant lithologies in the deposit area, and the most important hosts of many sediment-hosted gold deposits throughout the West Qinling orogen. The ore-stage hydrothermal pyrite con- tains high concentrations of Au, As, Cu, Sb, Tl, and Bi and hasa relatively narrow range of positive δ34S values ranging from +8.1 to +15.2‰. The sulfur isotope data are comparable to those of ore pyrite from many Triassic orogenic gold deposits and Paleozoic sedimentary exhalative (SEDEX) Pb-Zn de- posits in the West Qinling orogen, both being hosted mainly in the Devonian sequence. This similarity indicates that sulfur, responsible for the auriferous pyrite at Qiuling, was largely derived from the metamorphic devolatization of Paleozoic marine sedimentary rocks. Post-ore-stage pyrite, which is sig- nificantly enriched in Co and Ni but depleted in Au and As, has unusually high δ34S values ranging from +37.4 to +69.6 ‰, that are interpreted to result from thermochemical reduc- tion of evaporite sulfates in underlying Cambrian sedimentary rocks with very high δ34S values. The variations in Au content and sulfur isotopic compositions across a single ore-stage py- rite grain may reflect displacement of indigenous groundwater with low δ34S values by auriferous metamorphic fluids with high δ34S values. The very low-grade metamorphism of the host rocks and the metamorphic derivation of sulfur for the ore pyrite indicate that the Qiuling sediment-hosted gold deposit is an epizonal manifestation of an orogenic gold system in the West Qinling orogen.","language":"English","publisher":"Springer","doi":"10.1007/s00126-015-0597-9","usgsCitation":"Chen, L., Li, X., Li, J., Hofstra, A.H., Liu, Y., and Koenig, A.E., 2015, Extreme variation of sulfur isotopic compositions in pyrite from the Qiuling sediment-hosted gold deposit, West Qinling orogen, central China: An in situ SIMS study with implications for the source of sulfur: Mineralium Deposita, v. 50, no. 6, p. 643-656, https://doi.org/10.1007/s00126-015-0597-9.","productDescription":"14 p.","startPage":"643","endPage":"656","ipdsId":"IP-061524","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science 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