{"pageNumber":"1424","pageRowStart":"35575","pageSize":"25","recordCount":165227,"records":[{"id":70178335,"text":"70178335 - 2013 - Seasonal changes in peatland surface elevation recorded at GPS stations in the Red Lake Peatlands, northern Minnesota, USA","interactions":[],"lastModifiedDate":"2021-04-26T18:05:02.898103","indexId":"70178335","displayToPublicDate":"2013-07-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal changes in peatland surface elevation recorded at GPS stations in the Red Lake Peatlands, northern Minnesota, USA","docAbstract":"<p><span class=\"paraNumber\"><span>&nbsp;</span></span><span>Northern peatlands appear to hold large volumes of free‐phase gas (e.g., CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>), which has been detected by surface deformations, pore pressure profiles, and electromagnetic surveys. Determining the gas content and its impact in peat is challenging because gas storage depends on both the elastic properties of the peat matrix and the buoyant forces exerted by pore fluids. We therefore used a viscoelastic deformation model to estimate these variables by adjusting model runs to reproduce observed changes in peat surface elevation within a 1300 km</span><sup>2</sup><span>&nbsp;peatland. A local GPS network documented significant changes in surface elevations throughout the year with the greatest vertical displacements associated with rapid changes in peat water content and unloadings due to melting of the winter snowpack. These changes were coherent with changes in water table elevation and also abnormal pore pressure changes measured by nests of instrumented piezometers. The deformation model reproduced these changes when the gas content was adjusted to 10% of peat volume, and Young's modulus was varied between 5 and 100 kPa as the peat profile shifted from tension to compression. In contrast, the model predicted little peat deformation when the gas content was 3% or lower. These model simulations are consistent with previous estimates of gas volume in northern peatlands and suggest an upper limit of gas storage controlled by the elastic moduli of the peat fabric.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JG002404","usgsCitation":"Reeve, A., Glaser, P., and Rosenberry, D.O., 2013, Seasonal changes in peatland surface elevation recorded at GPS stations in the Red Lake Peatlands, northern Minnesota, USA: Journal of Geophysical Research: Biogeosciences, v. 118, no. 4, p. 1616-1626, https://doi.org/10.1002/2013JG002404.","productDescription":"11 p.","startPage":"1616","endPage":"1626","ipdsId":"IP-048928","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002404","text":"Publisher Index Page"},{"id":330963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Red Lake Peatlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.49615478515625,\n              48.19721822655714\n            ],\n            [\n              -94.5867919921875,\n              48.211862417203214\n            ],\n            [\n              -94.69390869140625,\n              48.21735290928554\n            ],\n            [\n              -94.80926513671875,\n              48.20087966673985\n            ],\n            [\n              -94.8779296875,\n              48.189894561126884\n            ],\n            [\n              -95.04547119140625,\n              48.188063481211415\n            ],\n            [\n              -95.17730712890625,\n              48.193556524687395\n            ],\n            [\n              -95.44097900390625,\n              48.182569848918526\n            ],\n            [\n              -95.63873291015625,\n              48.182569848918526\n            ],\n            [\n              -95.701904296875,\n              48.219182942479165\n            ],\n            [\n              -95.723876953125,\n              48.270397314685724\n            ],\n            [\n              -95.71563720703125,\n              48.29963964777105\n            ],\n            [\n              -95.69641113281249,\n              48.3434717583591\n            ],\n            [\n              -95.657958984375,\n              48.381793961204984\n            ],\n            [\n              -95.63323974609374,\n              48.4164415885222\n            ],\n            [\n              -95.61126708984375,\n              48.454708881876854\n            ],\n            [\n              -95.60028076171875,\n              48.500227605781035\n            ],\n            [\n              -95.5426025390625,\n              48.5402503014931\n            ],\n            [\n              -95.3668212890625,\n              48.58932584966975\n            ],\n            [\n              -95.2020263671875,\n              48.612937834706464\n            ],\n            [\n              -94.88616943359375,\n              48.58750908593607\n            ],\n            [\n              -94.84222412109375,\n              48.58750908593607\n            ],\n            [\n              -94.70489501953125,\n              48.56388521347092\n            ],\n            [\n              -94.54559326171875,\n              48.52206208716401\n            ],\n            [\n              -94.405517578125,\n              48.45106561953216\n            ],\n            [\n              -94.3341064453125,\n              48.35442390123028\n            ],\n            [\n              -94.24621582031249,\n              48.244796538712365\n            ],\n            [\n              -94.27642822265625,\n              48.17524408990215\n            ],\n            [\n              -94.37530517578125,\n              48.1642534885474\n            ],\n            [\n              -94.49615478515625,\n              48.19721822655714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-10","publicationStatus":"PW","scienceBaseUri":"5826b95ce4b01fad86eb905a","contributors":{"authors":[{"text":"Reeve, A.S.","contributorId":64446,"corporation":false,"usgs":true,"family":"Reeve","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":653629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glaser, P.H.","contributorId":13791,"corporation":false,"usgs":true,"family":"Glaser","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":653630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":653628,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042047,"text":"70042047 - 2013 - Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA","interactions":[],"lastModifiedDate":"2013-07-24T09:17:51","indexId":"70042047","displayToPublicDate":"2013-07-24T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2933,"text":"Oecologia Australis","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA","docAbstract":"The continued growth of off-highway vehicle (OHV) activities – demonstrated by the dramatic increase in OHV sales, number of users, and areas experiencing OHV use – has elevated concerns about their ecological effects, the impacts on wildlife, and the sustainability of OHV use on secondary and tertiary road networks. Conflicts between visitors and wildlife are raising concerns about system resiliency and sustainable management. In order to quantify the spatial and temporal impacts of OHV use it is imperative to know about the timing and patterns of vehicle use. This study tested and used multiple vehicle-counter types to study vehicular OHV use patterns and volume throughout a mountainous road network in western Colorado. OHV counts were analyzed by time of day, day of week, season, and year. While daily use peaked within a two to three hour range for all sites, the overall volume of use varied among sites on an annual basis. The data also showed that there are at least two distinct patterns of OHV use: one dominated by a majority of use on weekends, and the other with continuous use throughout the week. This project provided important, but rarely captured, metrics about patterns of OHV use in a remote, mountainous region of Colorado. The techniques described here can provide land managers with a quantitative evaluation of OHV use across the landscape, an essential foundation for travel management planning. They also provide researchers with robust tools to further investigate the impacts of OHV use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia Australis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oecologia Australis","doi":"10.4257/oeco.2013.1701.09","usgsCitation":"Ouren, D.S., and Coffin, A.W., 2013, Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA: Oecologia Australis, v. 17, no. 1, p. 96-110, https://doi.org/10.4257/oeco.2013.1701.09.","productDescription":"5 p.","startPage":"96","endPage":"110","ipdsId":"IP-039074","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4257/oeco.2013.1701.09","text":"Publisher Index Page"},{"id":275330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275326,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4257/oeco.2013.1701.09"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95be4b04309f4e38ce7","contributors":{"authors":[{"text":"Ouren, Douglas S. ourend@usgs.gov","contributorId":1931,"corporation":false,"usgs":true,"family":"Ouren","given":"Douglas","email":"ourend@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":470670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coffin, Alisa W. coffina@usgs.gov","contributorId":17305,"corporation":false,"usgs":true,"family":"Coffin","given":"Alisa","email":"coffina@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":470671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047194,"text":"ofr20131164 - 2013 - Publications of the Volcano Hazards Program 2011","interactions":[],"lastModifiedDate":"2013-07-24T15:40:36","indexId":"ofr20131164","displayToPublicDate":"2013-07-24T15:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1164","title":"Publications of the Volcano Hazards Program 2011","docAbstract":"The Volcano Hazards Program of the U.S. Geological Survey (USGS) is part of the Geologic Hazards Assessments subactivity, as funded by Congressional appropriation. Investigations are carried out by the USGS and with cooperators at the Alaska Division of Geological and Geophysical Surveys, University of Alaska Fairbanks Geophysical Institute, University of Hawaii Manoa and Hilo, University of Utah, and University of Washington Geophysics Program. This report lists publications from all these institutions. Only published papers and maps are included here; abstracts presented at scientific meetings are omitted. Publication dates are based on year of issue, with no attempt to assign them to fiscal year.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131164","usgsCitation":"Nathenson, M., 2013, Publications of the Volcano Hazards Program 2011: U.S. Geological Survey Open-File Report 2013-1164, 9 p., https://doi.org/10.3133/ofr20131164.","productDescription":"9 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":275353,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1164/of2013-1164.pdf"},{"id":275352,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1164/"},{"id":275354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131164.PNG"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95ce4b04309f4e38cef","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481321,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047180,"text":"70047180 - 2013 - Parasitic infection by larval helminths in Antarctic fishes: pathological changes and impact on the host body condition index","interactions":[],"lastModifiedDate":"2017-10-04T09:43:50","indexId":"70047180","displayToPublicDate":"2013-07-24T15:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Parasitic infection by larval helminths in Antarctic fishes: pathological changes and impact on the host body condition index","docAbstract":"<p>We examined pathological changes and relationship between body condition index (BCI) and parasitic infection in 5 species of fish, including 42 icefish Chionodraco hamatus (Channichtyidae), 2 dragonfish Cygnodraco mawsoni (Bathydraconidae), 30 emerald rock cod Trematomus bernacchii, 46 striped rock cod T. hansoni and 9 dusty rock cod T. newnesi (Nototheniidae) from the Ross Sea, Antarctica. All parasites were identified by a combination of morphology and mtDNA cytochrome-oxidase-2 sequence (mtDNA cox2) analysis, except Contracaecum osculatum s.l., for which only the latter was used. Five larval taxa were associated with pathological changes including 2 sibling species (D and E) of the C. osculatum species complex and 3 cestodes including plerocercoids of a diphyllobothridean, and 2 tetraphyllidean forms including cercoids with monolocular and bilocular bothridia. The most heavily infected hosts were C. hamatus and C. mawsoni, with C. hamatus most often infected by C. osculatum sp. D and sp. E and diphyllobothrideans, while C. mawsoni was most often infected with tetraphyllidean forms. Histologically, all fish showed varying severity of chronic inflammation associated with larval forms of helminths. Diphyllobothrideans and C. osculatum spp. were located in gastric muscularis or liver and were associated with necrosis and mild to marked fibrosis. Moderate multifocal rectal mucosal chronic inflammation was associated with attached tetraphyllidean scolices. C. hamatus showed a strong negative correlation between BCI and parasite burden.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/dao02626","usgsCitation":"Santoro, M., Mattiucci, S., Work, T.M., Cimmaruta, R., Nardi, V., Cipriani, P., Bellisario, B., and Nascetti, G., 2013, Parasitic infection by larval helminths in Antarctic fishes: pathological changes and impact on the host body condition index: Diseases of Aquatic Organisms, v. 105, no. 2, p. 139-148, https://doi.org/10.3354/dao02626.","productDescription":"10 p.","startPage":"139","endPage":"148","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044437","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02626","text":"Publisher Index Page"},{"id":275351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275350,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/dao02626"}],"otherGeospatial":"Mario Zucchelli Station, Terra Nova Bay, Ross Sea, Antarctica","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              164.080810546875,\n              -74.65274871347043\n            ],\n            [\n              163.9599609375,\n              -74.73540112974018\n            ],\n            [\n              163.76220703124997,\n              -74.85784811453355\n            ],\n            [\n              163.7017822265625,\n              -74.90083526944221\n            ],\n            [\n              163.685302734375,\n              -74.93371134299319\n            ],\n            [\n              163.65234374999997,\n              -74.98075925296335\n            ],\n            [\n              163.63037109375,\n              -75.0205661048956\n            ],\n            [\n              163.5369873046875,\n              -75.0687644204799\n            ],\n            [\n              163.443603515625,\n              -75.16048677152294\n            ],\n            [\n              163.4271240234375,\n              -75.23206771050758\n            ],\n            [\n              163.6907958984375,\n              -75.30888448476102\n            ],\n            [\n              163.98193359375,\n              -75.34367189241019\n            ],\n            [\n              164.89929199218747,\n              -75.39223893869115\n            ],\n            [\n              165.0970458984375,\n              -75.40470214009966\n            ],\n            [\n              165.4486083984375,\n              -75.41023800111525\n            ],\n            [\n              165.6353759765625,\n              -75.397779424116\n            ],\n            [\n              165.8221435546875,\n              -75.34367189241019\n            ],\n            [\n              166.2835693359375,\n              -74.93085533196495\n            ],\n            [\n              166.234130859375,\n              -74.65565617877452\n            ],\n            [\n              166.2396240234375,\n              -74.55942543270808\n            ],\n            [\n              166.190185546875,\n              -74.46996144907595\n            ],\n            [\n              165.77270507812497,\n              -74.45671911247771\n            ],\n            [\n              164.5916748046875,\n              -74.49053876912627\n            ],\n            [\n              164.267578125,\n              -74.5506480395836\n            ],\n            [\n              164.0972900390625,\n              -74.59886352660892\n            ],\n            [\n              164.080810546875,\n              -74.65274871347043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95ce4b04309f4e38ceb","contributors":{"authors":[{"text":"Santoro, Mario","contributorId":68631,"corporation":false,"usgs":true,"family":"Santoro","given":"Mario","email":"","affiliations":[],"preferred":false,"id":481256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattiucci, Simonetta","contributorId":32809,"corporation":false,"usgs":true,"family":"Mattiucci","given":"Simonetta","email":"","affiliations":[],"preferred":false,"id":481253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":481258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cimmaruta, Roberta","contributorId":48073,"corporation":false,"usgs":true,"family":"Cimmaruta","given":"Roberta","email":"","affiliations":[],"preferred":false,"id":481255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nardi, Valentina","contributorId":81000,"corporation":false,"usgs":true,"family":"Nardi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":481257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cipriani, Paolo","contributorId":6359,"corporation":false,"usgs":true,"family":"Cipriani","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":481251,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bellisario, Bruno","contributorId":37229,"corporation":false,"usgs":true,"family":"Bellisario","given":"Bruno","email":"","affiliations":[],"preferred":false,"id":481254,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nascetti, Giuseppe","contributorId":13882,"corporation":false,"usgs":true,"family":"Nascetti","given":"Giuseppe","email":"","affiliations":[],"preferred":false,"id":481252,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047183,"text":"70047183 - 2013 - Introduction to the fifth Mars Polar Science special issue: key questions, needed observations, and recommended investigations","interactions":[],"lastModifiedDate":"2013-07-24T15:14:59","indexId":"70047183","displayToPublicDate":"2013-07-24T15:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the fifth Mars Polar Science special issue: key questions, needed observations, and recommended investigations","docAbstract":"The Fifth International Conference on Mars Polar Science and Exploration – which was held from September 12–16, 2011, at the Pike’s Waterfront Lodge in Fairbanks, Alaska – is the latest in a continuing series of meetings that are intended to promote the exchange of knowledge and ideas between planetary and terrestrial scientists interested in Mars polar and climate research (http://www.lpi.usra.edu/meetings/polar2011/polar20113rd.html). The conference was sponsored by the Lunar and Planetary Institute, National Aeronautics and Space Administration, NASA’s Mars Program Office, University of Alaska Fairbanks, International Association of Cryospheric Sciences and the Centre for Research in Earth and Space Sciences at York University.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.04.005","usgsCitation":"Clifford, S.M., Yoshikawa, K., Byrne, S., Durham, W., Fisher, D., Forget, F., Hecht, M., Smith, P., Tamppari, L., Titus, T., and Zurek, R., 2013, Introduction to the fifth Mars Polar Science special issue: key questions, needed observations, and recommended investigations: Icarus, v. 225, no. 2, p. 864-868, https://doi.org/10.1016/j.icarus.2013.04.005.","productDescription":"5 p.","startPage":"864","endPage":"868","ipdsId":"IP-044534","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":275349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275348,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2013.04.005"},{"id":275329,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0019103513001656"}],"otherGeospatial":"Mars","volume":"225","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e959e4b04309f4e38cdf","contributors":{"authors":[{"text":"Clifford, Stephen M.","contributorId":7984,"corporation":false,"usgs":true,"family":"Clifford","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoshikawa, Kenji","contributorId":59708,"corporation":false,"usgs":true,"family":"Yoshikawa","given":"Kenji","email":"","affiliations":[],"preferred":false,"id":481294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":481293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durham, William","contributorId":81393,"corporation":false,"usgs":true,"family":"Durham","given":"William","affiliations":[],"preferred":false,"id":481297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, David","contributorId":62108,"corporation":false,"usgs":true,"family":"Fisher","given":"David","affiliations":[],"preferred":false,"id":481295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forget, Francois","contributorId":21052,"corporation":false,"usgs":true,"family":"Forget","given":"Francois","affiliations":[],"preferred":false,"id":481290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hecht, Michael","contributorId":82600,"corporation":false,"usgs":true,"family":"Hecht","given":"Michael","email":"","affiliations":[],"preferred":false,"id":481298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Peter","contributorId":63853,"corporation":false,"usgs":true,"family":"Smith","given":"Peter","affiliations":[],"preferred":false,"id":481296,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tamppari, Leslie","contributorId":92951,"corporation":false,"usgs":true,"family":"Tamppari","given":"Leslie","affiliations":[],"preferred":false,"id":481299,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Titus, Timothy","contributorId":49686,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","affiliations":[],"preferred":false,"id":481292,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zurek, Richard","contributorId":26952,"corporation":false,"usgs":true,"family":"Zurek","given":"Richard","email":"","affiliations":[],"preferred":false,"id":481291,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70047188,"text":"70047188 - 2013 - Dynamics of mangrove-marsh ecotones in subtropical coastal wetlands: fire, sea-level rise, and water levels","interactions":[],"lastModifiedDate":"2013-07-24T14:28:49","indexId":"70047188","displayToPublicDate":"2013-07-24T14:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of mangrove-marsh ecotones in subtropical coastal wetlands: fire, sea-level rise, and water levels","docAbstract":"Ecotones are areas of sharp environmental gradients between two or more homogeneous vegetation types. They are a dynamic aspect of all landscapes and are also responsive to climate change. Shifts in the position of an ecotone across a landscape can be an indication of a changing environment. In the coastal Everglades of Florida, USA, a dominant ecotone type is that of mangrove forest and marsh. However, there is a variety of plants that can form the marsh component, including sawgrass (Cladium mariscus [L.] Pohl), needlegrass rush (Juncus roemerianus Scheele), and spikerush (Eleocharis spp.). Environmental factors including water depth, soil type, and occurrence of fires vary across these ecotones, influencing their dynamics. Altered freshwater inflows from upstream and increasing sea level over the past 100 years may have also had an impact. We analyzed a time series of historical aerial photographs for a number of sites in the coastal Everglades and measured change in position of mangrove–marsh ecotones. For three sites, detailed maps were produced and the area of marsh, mangrove, and other habitats was determined for five periods spanning the years 1928 to 2004. Contrary to our initial hypothesis on fire, we found that fire did not prevent mangrove expansion into marsh areas but may in fact assist mangroves to invade some marsh habitats, especially sawgrass. Disparate patterns in mangrove–marsh change were measured at two downstream sites, both of which had multiple fires over from 1948 to 2004. No change in mangrove or marsh area was measured at one site. Mangrove area increased and marsh area decreased at the second of these fire-impacted sites. We measured a significant increase in mangrove area and a decline in marsh area at an upstream site that had little occurrence of fire. At this site, water levels have increased significantly as sea level has risen, and this has probably been a factor in the mangrove expansion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fire Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.0901066","usgsCitation":"Smith, T.J., Foster, A.M., Tiling-Range, G., and Jones, J., 2013, Dynamics of mangrove-marsh ecotones in subtropical coastal wetlands: fire, sea-level rise, and water levels: Fire Ecology, v. 9, no. 1, p. 66-77, https://doi.org/10.4996/fireecology.0901066.","productDescription":"12 p.","startPage":"66","endPage":"77","ipdsId":"IP-040254","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.0901066","text":"Publisher Index Page"},{"id":275347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275338,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4996/fireecology.0901066"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ -80.3887,25.8899 ], [ -80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-04-01","publicationStatus":"PW","scienceBaseUri":"51f0e94fe4b04309f4e38cd7","contributors":{"authors":[{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":481310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Ann M. amfoster@usgs.gov","contributorId":3545,"corporation":false,"usgs":true,"family":"Foster","given":"Ann","email":"amfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":481312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiling-Range, Ginger","contributorId":11914,"corporation":false,"usgs":true,"family":"Tiling-Range","given":"Ginger","affiliations":[],"preferred":false,"id":481313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":481311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047191,"text":"ds720 - 2013 - EAARL coastal topography and imagery–Western Louisiana, post-Hurricane Rita, 2005: First surface","interactions":[],"lastModifiedDate":"2023-04-05T03:32:02.774678","indexId":"ds720","displayToPublicDate":"2013-07-24T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"720","title":"EAARL coastal topography and imagery–Western Louisiana, post-Hurricane Rita, 2005: First surface","docAbstract":"These remotely sensed, geographically referenced color-infrared (CIR) imagery and elevation measurements of lidar-derived first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, Virginia.  This project provides highly detailed and accurate datasets of a portion of the Louisiana coastline beachface, acquired post-Hurricane Rita on September 27-28 and October 2, 2005. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the National Aeronautics and Space Administration (NASA) Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.  Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.    For more information about similar projects, please visit the <a href=\"http://ngom.usgs.gov/dsp/index.php\" target=\"_blank\">Lidar for Science and Resource Management</a> Website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds720","usgsCitation":"Bonisteel-Cormier, J.M., Wright, W.C., Fredericks, X., Klipp, E.S., Nagle, D., Sallenger, A., and Brock, J., 2013, EAARL coastal topography and imagery–Western Louisiana, post-Hurricane Rita, 2005: First surface: U.S. Geological Survey Data Series 720, HTML Document, https://doi.org/10.3133/ds720.","productDescription":"HTML Document","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275345,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275344,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/720/title.html"},{"id":275343,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/720/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.00837692113316,\n              30.239834373180088\n            ],\n            [\n              -94.00837692113316,\n              29.170414182419464\n            ],\n            [\n              -91.68628733181568,\n              29.170414182419464\n            ],\n            [\n              -91.68628733181568,\n              30.239834373180088\n            ],\n            [\n              -94.00837692113316,\n              30.239834373180088\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e959e4b04309f4e38cdb","contributors":{"authors":[{"text":"Bonisteel-Cormier, Jamie M.","contributorId":18085,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Wayne C.","contributorId":6747,"corporation":false,"usgs":true,"family":"Wright","given":"Wayne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagle, Doug B.","contributorId":34802,"corporation":false,"usgs":true,"family":"Nagle","given":"Doug B.","affiliations":[],"preferred":false,"id":481320,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":481319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":481314,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047187,"text":"ofr20131161 - 2013 - Thermokarst and thaw-related landscape dynamics -- an annotated bibliography with an emphasis on potential effects on habitat and wildlife","interactions":[],"lastModifiedDate":"2018-06-19T19:51:46","indexId":"ofr20131161","displayToPublicDate":"2013-07-24T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1161","title":"Thermokarst and thaw-related landscape dynamics -- an annotated bibliography with an emphasis on potential effects on habitat and wildlife","docAbstract":"Permafrost has warmed throughout much of the Northern Hemisphere since the 1980s, with colder permafrost sites warming more rapidly (Romanovsky and others, 2010; Smith and others, 2010). Warming of the near-surface permafrost may lead to widespread terrain instability in ice-rich permafrost in the Arctic and the Subarctic, and may result in thermokarst development and other thaw-related landscape features (Jorgenson and others, 2006; Gooseff and others, 2009). Thermokarst and other thaw-related landscape features result from varying modes and scales of permafrost thaw, subsidence, and removal of material. An increase in active-layer depth, water accumulation on the soil surface, permafrost degradation and associated retreat of the permafrost table, and changes to lake shores and coastal bluffs act and interact to create thermokarst and other thaw-related landscape features (Shur and Osterkamp, 2007). There is increasing interest in the spatial and temporal dynamics of thermokarst and other thaw-related features from diverse disciplines including landscape ecology, hydrology, engineering, and biogeochemistry. Therefore, there is a need to synthesize and disseminate knowledge on the current state of near-surface permafrost terrain.\n\nThe term \"thermokarst\" originated in the Russian literature, and its scientific use has varied substantially over time (Shur and Osterkamp, 2007). The modern definition of thermokarst refers to the process by which characteristic landforms result from the thawing of ice-rich permafrost or the melting of massive ice (van Everdingen, 1998), or, more specifically, the thawing of ice-rich permafrost and (or) melting of massive ice that result in consolidation and deformation of the soil surface and formation of specific forms of relief (Shur, 1988). Jorgenson (2013) identifies 23 distinct thermokarst and other thaw-related features in the Arctic, Subarctic, and Antarctic based primarily on differences in terrain condition, ground-ice volume, and heat and mass transfer processes. Typical Arctic thermokarst landforms include thermokarst lakes, collapsed pingos, sinkholes, and pits. Thermokarst is differentiated from thermal erosion, which refers to the erosion of the land surface by thermal and mechanical processes (Mackay, 1970; van Everdingen, 1998). Typical thermal erosional features include thermo-erosional gullies. Thermal abrasion is further differentiated from thermokarst and thermal erosion by association with the reworking of ocean, river, and lake bluffs (Are, 1988). Typical thermo-abrasion features include erosional niches at the base of bluffs. Thermal denudation is another distinct term that refers to the effect of incoming solar energy on the thaw of frozen slopes and permafrost bodies that subsequently become transported downhill by gravity (Shur and Osterkamp, 2007). Active layer detachment slides and thaw slumps are typical thermal denudation features. Shur and Osterkamp (2007) noted that these various transport processes may occur together with thermokarst or in instances that would not be considered thermokarst.\n\nThis compilation of references regarding thermokarst and other thaw-related features is focused on the Arctic and the Subarctic. References were drawn from North America as well as Siberia. English-language literature mostly was targeted, with 167 references annotated in version 1.0; however, an additional 28 Russian-language references were taken from Shur and Osterkamp (2007) and are provided at the end of this document. This compilation may be missing key references and inevitably will become outdated soon after publication. We hope that this document, version 1.0, will serve as the foundation for a comprehensive compilation of thermokarst and permafrost-terrain stability references, and that it will be updated continually over the coming years.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131161","collaboration":"Compiled for the Arctic Landscape Conservation Cooperative","usgsCitation":"Jones, B.M., Amundson, C.L., Koch, J.C., and Grosse, G., 2013, Thermokarst and thaw-related landscape dynamics -- an annotated bibliography with an emphasis on potential effects on habitat and wildlife: U.S. Geological Survey Open-File Report 2013-1161, iv, 60 p., https://doi.org/10.3133/ofr20131161.","productDescription":"iv, 60 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131161.bmp"},{"id":275340,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1161/"},{"id":275339,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1161/pdf/ofr20131161.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95de4b04309f4e38cfb","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":481309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047186,"text":"ofr20131151 - 2013 - Quality-assurance plan for groundwater activities, U.S. Geological Survey, Washington Water Science Center","interactions":[],"lastModifiedDate":"2013-07-24T09:48:45","indexId":"ofr20131151","displayToPublicDate":"2013-07-24T09:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1151","title":"Quality-assurance plan for groundwater activities, U.S. Geological Survey, Washington Water Science Center","docAbstract":"This report documents the standard procedures, policies, and field methods used by the U.S. Geological Survey’s (USGS) Washington Water Science Center staff for activities related to the collection, processing, analysis, storage, and publication of groundwater data. This groundwater quality-assurance plan changes through time to accommodate new methods and requirements developed by the Washington Water Science Center and the USGS Office of Groundwater. The plan is based largely on requirements and guidelines provided by the USGS Office of Groundwater, or the USGS Water Mission Area. Regular updates to this plan represent an integral part of the quality-assurance process. Because numerous policy memoranda have been issued by the Office of Groundwater since the previous groundwater quality assurance plan was written, this report is a substantial revision of the previous report, supplants it, and contains significant additional policies not covered in the previous report.\n\nThis updated plan includes information related to the organization and responsibilities of USGS Washington Water Science Center staff, training, safety, project proposal development, project review procedures, data collection activities, data processing activities, report review procedures, and archiving of field data and interpretative information pertaining to groundwater flow models, borehole aquifer tests, and aquifer tests. Important updates from the previous groundwater quality assurance plan include: (1) procedures for documenting and archiving of groundwater flow models; (2) revisions to procedures and policies for the creation of sites in the Groundwater Site Inventory database; (3) adoption of new water-level forms to be used within the USGS Washington Water Science Center; (4) procedures for future creation of borehole geophysics, surface geophysics, and aquifer-test archives; and (5) use of the USGS Multi Optional Network Key Entry System software for entry of routine water-level data collected as part of long-term water-level monitoring networks.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131151","usgsCitation":"Kozar, M.D., and Kahle, S.C., 2013, Quality-assurance plan for groundwater activities, U.S. Geological Survey, Washington Water Science Center: U.S. Geological Survey Open-File Report 2013-1151, iv, 88 p., https://doi.org/10.3133/ofr20131151.","productDescription":"iv, 88 p.","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":275337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131151.bmp"},{"id":275335,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1151/pdf/ofr20131151.pdf"},{"id":275336,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1151/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95de4b04309f4e38cf3","contributors":{"authors":[{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":481304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481305,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047185,"text":"sim3100 - 2013 - Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska","interactions":[],"lastModifiedDate":"2022-04-15T21:26:29.556909","indexId":"sim3100","displayToPublicDate":"2013-07-24T09:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3100","title":"Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska","docAbstract":"The rocks of the map area range from Proterozoic age metamorphic rocks of the Kanektok metamorphic complex (Kilbuck terrane) to Quaternary age mafic volcanic rocks of Nunivak Island. The map area encompasses much of the type area of the Togiak-Tikchik Complex. The geologic maps used to construct this compilation were, for the most part, reconnaissance studies done in the time period from the 1950s to 1990s. Pioneering work in the map area by J.M. Hoare and W.L. Coonrad forms the basis for much of this map, either directly or as the stepping off point for later studies compiled here.\n\nPhysiographically, the map area ranges from glaciated mountains, as much as 1,500 m high, in the Ahklun Mountains to the coastal lowlands of northern Bristol Bay and the Kuskokwim River delta. The mountains and the finger lakes (drowned fiords) on the east have been strongly affected by Pleistocene and Holocene glaciation.\n\nWithin the map area are a number of major faults. The Togiak-Tikchik Fault and its extension to the northeast, the Holitna Fault, are considered extensions of the Denali fault system of central Alaska. Other sub-parallel faults include the Golden Gate, Sawpit, Goodnews, and East Kulukak Faults. Northwest-trending strike-slip faults crosscut and offset northeast-trending fault systems.\n\nRocks of the area are assigned to a number of distinctive lithologic packages. Most distinctive among these packages are the high-grade metamorphic rocks of the Kanektok metamorphic complex or Kilbuck terrane, composed of a high-grade metamorphic orthogneiss core surrounded by greenschist and amphibolite facies schist, gneiss, and rare marble and quartzite. These rocks have yielded radiometric ages strongly suggestive of a 2.05 Ga emplacement age. Poorly known Paleozoic rocks, including Ordovician to Devonian and Permian limestone, are found east of the Kanektok metamorphic complex. A Triassic(?) ophiolite complex is on the southeast side of Kuskokwim Bay; otherwise only minor Triassic rock units are known. The most widespread rocks of the area are Jurassic and Early Cretaceous(?) volcanic and volcaniclastic rocks. The Kuskokwim Group flysch is restricted largely to the northeast part of the map area. It consists primarily of shelf and minor nearshore facies rocks. Primarily exposed in the lowlands west of the Ahklun Mountains, extensive latest Tertiary and Quaternary alkalic basalt flows and lesser pyroclastic rocks form much of the bedrock of the remaining area. On Saint Matthew Island, Cretaceous volcanic and pyroclastic rocks occur that are not found elsewhere within the map area. The Kuskokwim Group and older rocks, including on Saint Matthew Island, but not the Kanektok metamorphic complex, are intruded by widely dispersed Late Cretaceous and (or) Early Tertiary granitic rocks. Much of the lowland area is mantled by unconsolidated deposits that include glacial, alluvial and fluvial, marine, estuarine, and eolian deposits. These formed during several episodes of Quaternary glaciation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3100","usgsCitation":"Wilson, F.H., Hults, C.P., Mohadjer, S., and Coonrad, W.L., 2013, Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska: U.S. Geological Survey Scientific Investigations Map 3100, Pamphlet: i, 45 p.; 1 Sheet: 50.00 × 46.06 inches, https://doi.org/10.3133/sim3100.","productDescription":"Pamphlet: i, 45 p.; 1 Sheet: 50.00 × 46.06 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3100.PNG"},{"id":398879,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98678.htm"},{"id":275333,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3100/sim3100_map.pdf"},{"id":275331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3100/"},{"id":275332,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3100/sim3100_pamphlet.pdf"}],"scale":"500000","country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -173.1231,\n              56.5\n            ],\n            [\n              -158,\n              56.5\n            ],\n            [\n              -158,\n              61\n            ],\n            [\n              -173.1231,\n              61\n            ],\n            [\n              -173.1231,\n              56.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95de4b04309f4e38cf7","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":481303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohadjer, Solmaz","contributorId":61518,"corporation":false,"usgs":true,"family":"Mohadjer","given":"Solmaz","email":"","affiliations":[],"preferred":false,"id":481302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coonrad, Warren L.","contributorId":47481,"corporation":false,"usgs":true,"family":"Coonrad","given":"Warren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481301,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040647,"text":"70040647 - 2013 - Modeling prey consumption by native and non-native piscivorous fishes: implications for competition and impacts on shared prey in an ultraoligotrophic lake in Patagonia","interactions":[],"lastModifiedDate":"2013-07-23T15:36:05","indexId":"70040647","displayToPublicDate":"2013-07-23T15:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Modeling prey consumption by native and non-native piscivorous fishes: implications for competition and impacts on shared prey in an ultraoligotrophic lake in Patagonia","docAbstract":"We examined trophic interactions of the nonnative salmonids Rainbow Trout Oncorhynchus mykiss, Brown Trout Salmo trutta, and Brook Trout Salvelinus fontinalisand the main native predator Creole Perch Percichthys trucha in Lake Nahuel Huapi (Patagonia, Argentina) to determine the relative impact of each predator on their forage base and to evaluate the potential vulnerability of each predator to competitive impacts by the others. Using bioenergetics simulations, we demonstrated the overall importance of galaxiids and decapods to the energy budgets of nonnative salmonids and Creole Perch. Introduced salmonids, especially Rainbow Trout, exerted considerably heavier predatory demands on shared resources than did the native Creole Perch on both a per capita basis and in terms of relative population impacts. Rainbow Trout consumed higher quantities and a wider size range of Small Puyen (also known as Inanga) Galaxias maculatus than the other predators, including early pelagic life stages of that prey; as such, this represents an additional source of mortality for the vulnerable early life stages of Small Puyen before and during their transition from pelagic to benthic habitats. All predators were generally feeding at high feeding rates (above 40% of their maximum physiological rates), suggesting that competition for prey does not currently limit either Creole Perch or the salmonids in this lake. This study highlights the importance of keystone prey for the coexistence of native species with nonnative top predators. It provides new quantitative and qualitative evidence of the high predation pressure exerted on Small Puyen, the keystone prey species, during the larval to juvenile transition from pelagic to littoral-benthic habitat in Patagonian lakes. This study also emphasizes the importance of monitoring salmonid and Creole Perch population dynamics in order to detect signs of potential impacts through competition and shows the need to carefully consider the rationale behind any additional trout stocking.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.730109","usgsCitation":"Juncos, R., Beauchamp, D.A., and Viglianoc, P.H., 2013, Modeling prey consumption by native and non-native piscivorous fishes: implications for competition and impacts on shared prey in an ultraoligotrophic lake in Patagonia: Transactions of the American Fisheries Society, v. 142, no. 1, p. 268-281, https://doi.org/10.1080/00028487.2012.730109.","productDescription":"14 p.","startPage":"268","endPage":"281","numberOfPages":"14","ipdsId":"IP-038187","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275322,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.730109"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.65708,-41.1326 ], [ -71.65708,-40.82996 ], [ -71.15206,-40.82996 ], [ -71.15206,-41.1326 ], [ -71.65708,-41.1326 ] ] ] } } ] }","volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-27","publicationStatus":"PW","scienceBaseUri":"51ef97d5e4b0b09fbe58f14d","contributors":{"authors":[{"text":"Juncos, Romina","contributorId":39675,"corporation":false,"usgs":true,"family":"Juncos","given":"Romina","email":"","affiliations":[],"preferred":false,"id":468710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":468708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viglianoc, Pablo H.","contributorId":38456,"corporation":false,"usgs":true,"family":"Viglianoc","given":"Pablo","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":468709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047173,"text":"70047173 - 2013 - Applying UV cameras for SO<sub>2</sub> detection to distant or optically thick volcanic plumes","interactions":[],"lastModifiedDate":"2013-07-23T15:23:06","indexId":"70047173","displayToPublicDate":"2013-07-23T15:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Applying UV cameras for SO<sub>2</sub> detection to distant or optically thick volcanic plumes","docAbstract":"Ultraviolet (UV) camera systems represent an exciting new technology for measuring two dimensional sulfur dioxide (SO<sub>2</sub>) distributions in volcanic plumes. The high frame rate of the cameras allows the retrieval of SO<sub>2</sub> emission rates at time scales of 1 Hz or higher, thus allowing the investigation of high-frequency signals and making integrated and comparative studies with other high-data-rate volcano monitoring techniques possible. One drawback of the technique, however, is the limited spectral information recorded by the imaging systems. Here, a framework for simulating the sensitivity of UV cameras to various SO<sub>2</sub> distributions is introduced. Both the wavelength-dependent transmittance of the optical imaging system and the radiative transfer in the atmosphere are modeled. The framework is then applied to study the behavior of different optical setups and used to simulate the response of these instruments to volcanic plumes containing varying SO<sub>2</sub> and aerosol abundances located at various distances from the sensor. Results show that UV radiative transfer in and around distant and/or optically thick plumes typically leads to a lower sensitivity to SO<sub>2</sub> than expected when assuming a standard Beer–Lambert absorption model. Furthermore, camera response is often non-linear in SO<sub>2</sub> and dependent on distance to the plume and plume aerosol optical thickness and single scatter albedo. The model results are compared with camera measurements made at Kilauea Volcano (Hawaii) and a method for integrating moderate resolution differential optical absorption spectroscopy data with UV imagery to retrieve improved SO<sub>2</sub> column densities is discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2013.06.009","usgsCitation":"Kern, C., Werner, C., Elias, T., Sutton, A.J., and Lübcke, P., 2013, Applying UV cameras for SO<sub>2</sub> detection to distant or optically thick volcanic plumes: Journal of Volcanology and Geothermal Research, v. 262, p. 80-89, https://doi.org/10.1016/j.jvolgeores.2013.06.009.","productDescription":"10 p.","startPage":"80","endPage":"89","ipdsId":"IP-043068","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"links":[{"id":275321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275320,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2013.06.009"},{"id":275310,"type":{"id":15,"text":"Index Page"},"url":"https://linkinghub.elsevier.com/retrieve/pii/S0377027313001832"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97cfe4b0b09fbe58f145","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Cynthia 0000-0003-3311-6694","orcid":"https://orcid.org/0000-0003-3311-6694","contributorId":11444,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":481222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, A. Jeff","contributorId":45605,"corporation":false,"usgs":true,"family":"Sutton","given":"A.","email":"","middleInitial":"Jeff","affiliations":[],"preferred":false,"id":481223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lübcke, Peter","contributorId":82202,"corporation":false,"usgs":true,"family":"Lübcke","given":"Peter","affiliations":[],"preferred":false,"id":481224,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043322,"text":"70043322 - 2013 - Presence of indicator plant species as a predictor of wetland vegetation integrity","interactions":[],"lastModifiedDate":"2013-07-23T13:36:52","indexId":"70043322","displayToPublicDate":"2013-07-23T13:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Presence of indicator plant species as a predictor of wetland vegetation integrity","docAbstract":"We fit regression and classification tree models to vegetation data collected from Ohio (USA) wetlands to determine (1) which species best predict Ohio vegetation index of biotic integrity (OVIBI) score and (2) which species best predict high-quality wetlands (OVIBI score >75). The simplest regression tree model predicted OVIBI score based on the occurrence of three plant species: skunk-cabbage (Symplocarpus foetidus), cinnamon fern (Osmunda cinnamomea), and swamp rose (Rosa palustris). The lowest OVIBI scores were best predicted by the absence of the selected plant species rather than by the presence of other species. The simplest classification tree model predicted high-quality wetlands based on the occurrence of two plant species: skunk-cabbage and marsh-fern (Thelypteris palustris). The overall misclassification rate from this tree was 13 %. Again, low-quality wetlands were better predicted than high-quality wetlands by the absence of selected species rather than the presence of other species using the classification tree model. Our results suggest that a species’ wetland status classification and coefficient of conservatism are of little use in predicting wetland quality. A simple, statistically derived species checklist such as the one created in this study could be used by field biologists to quickly and efficiently identify wetland sites likely to be regulated as high-quality, and requiring more intensive field assessments. Alternatively, it can be used for advanced determinations of low-quality wetlands. Agencies can save considerable money by screening wetlands for the presence/absence of such “indicator” species before issuing permits.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Plant Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11258-013-0168-z","usgsCitation":"Stapanian, M.A., Adams, J.V., and Gara, B., 2013, Presence of indicator plant species as a predictor of wetland vegetation integrity: Plant Ecology, v. 214, no. 2, p. 291-302, https://doi.org/10.1007/s11258-013-0168-z.","productDescription":"12 p.","startPage":"291","endPage":"302","numberOfPages":"12","ipdsId":"IP-043331","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":275306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275302,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11258-013-0168-z"}],"country":"United States","state":"Ohio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.1502,38.4032 ], [ -84.1502,41.9321 ], [ -80.519,41.9321 ], [ -80.519,38.4032 ], [ -84.1502,38.4032 ] ] ] } } ] }","volume":"214","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-26","publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f165","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gara, Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":473388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047149,"text":"70047149 - 2013 - Reappraisal of the relationship between the northern Nevada rift and Miocene extension in the northern Basin and Range Province","interactions":[],"lastModifiedDate":"2013-07-23T13:31:32","indexId":"70047149","displayToPublicDate":"2013-07-23T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Reappraisal of the relationship between the northern Nevada rift and Miocene extension in the northern Basin and Range Province","docAbstract":"The northern Nevada rift is a prominent mafic dike swarm and magnetic anomaly in north-central Nevada inferred to record the Middle Miocene (16.5-15.0 Ma) extension direction in the northern Basin and Range province in the western United States. From the 245&deg;-250&deg; rift direction, Basin and Range extension is inferred to have shifted 45&deg; clockwise to a modern direction of 290&deg;-300&deg; during the late Miocene. The region surrounding the northern Nevada rift was actively extending while the rift formed, and these domains are all characterized by extension oriented 280&deg;-300&deg;. This direction is distinctly different from the rift direction and nearly identical to the modern Basin and Range direction. Although the rate, structural style, and distribution of Basin and Range extension appear to have undergone a significant change in the late Miocene (ca. 10 Ma), the overall spreading direction does not. Middle Miocene extension was directed perpendicular to the axis of the thickest crust formed during Mesozoic shortening and this orientation may reflect gravitational collapse of this thick crust. Orientation of northern Nevada rift dikes may reflect a short-lived regional stress field related to the onset of Yellowstone hotspot volcanism.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G33512.1","usgsCitation":"Colgan, J.P., 2013, Reappraisal of the relationship between the northern Nevada rift and Miocene extension in the northern Basin and Range Province: Geology, v. 41, no. 2, p. 211-214, https://doi.org/10.1130/G33512.1.","productDescription":"4 p.","startPage":"211","endPage":"214","numberOfPages":"4","ipdsId":"IP-040227","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":275305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275246,"type":{"id":15,"text":"Index Page"},"url":"https://geology.gsapubs.org/content/41/2/211.abstract"},{"id":275245,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G33512.1"}],"country":"United States","state":"California;Idaho;Montana;Nevada;Oregon;Utah;Washington;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,35.0 ], [ -122.0,48.0 ], [ -111.0,48.0 ], [ -111.0,35.0 ], [ -122.0,35.0 ] ] ] } } ] }","volume":"41","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f169","contributors":{"authors":[{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481173,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047150,"text":"70047150 - 2013 - Superimposed extension and shortening in the southern Salinas Basin and La Panza Range, California: A guide to Neogene deformation in the Salinian block of the central California Coast Ranges","interactions":[],"lastModifiedDate":"2013-07-23T11:48:11","indexId":"70047150","displayToPublicDate":"2013-07-23T11:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Superimposed extension and shortening in the southern Salinas Basin and La Panza Range, California: A guide to Neogene deformation in the Salinian block of the central California Coast Ranges","docAbstract":"We synthesized data from geologic maps, wells, seismic-reflection profiles, potential-field interpretations, and low-temperature thermochronology to refine our understanding of late Cenozoic extension and shortening in the Salinian block of the central California Coast Ranges. Data from the La Panza Range and southern Salinas Basin document early to middle Miocene extension, followed by Pliocene and younger shortening after a period of little deformation in the late Miocene. Extension took place on high-angle normal faults that accommodated ∼2% strain at the scale of the ∼50-km-wide Salinian block (oriented perpendicular to the San Andreas fault). Shortening was accommodated by new reverse faults, reactivation of older normal faults, and strike-slip faulting that resulted in a map-view change in the width of the Salinian block. The overall magnitude of shortening was ∼10% strain, roughly 4–5 times greater than the amount of extension. The timing and magnitude of deformation in our study area are comparable to that documented in other Salinian block basins, and we suggest that the entire block deformed in a similar manner over a similar time span. The timing and relative magnitude of extension and shortening may be understood in the context of central Coast Range tectonic boundary conditions linked to rotation of the western Transverse Ranges at the south end of the Salinian block. Older models for Coast Range shortening based on balanced fault-bend fold-style cross sections are a poor approximation of Salinian block deformation, and may lead to mechanically improbable fault geometries that overestimate the amount of shortening.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lithosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/L208.1","usgsCitation":"Colgan, J.P., McPhee, D., McDougall, K., and Hourigan, J.K., 2013, Superimposed extension and shortening in the southern Salinas Basin and La Panza Range, California: A guide to Neogene deformation in the Salinian block of the central California Coast Ranges: Lithosphere, v. 4, no. 5, p. 29-48, https://doi.org/10.1130/L208.1.","startPage":"29","endPage":"48","ipdsId":"IP-038444","costCenters":[],"links":[{"id":473659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l208.1","text":"Publisher Index Page"},{"id":275282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275247,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/L208.1"},{"id":275248,"type":{"id":15,"text":"Index Page"},"url":"https://lithosphere.gsapubs.org/content/4/5/411.abstract"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.9867,34.3752 ], [ -121.9867,37.0815 ], [ -118.9874,37.0815 ], [ -118.9874,34.3752 ], [ -121.9867,34.3752 ] ] ] } } ] }","volume":"4","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d9e4b0b09fbe58f171","contributors":{"authors":[{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":481175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":481176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hourigan, Jeremy K.","contributorId":99023,"corporation":false,"usgs":true,"family":"Hourigan","given":"Jeremy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":481177,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047164,"text":"ofr20131127 - 2013 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2011","interactions":[],"lastModifiedDate":"2014-07-15T08:57:18","indexId":"ofr20131127","displayToPublicDate":"2013-07-23T11:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1127","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2011","docAbstract":"<p>Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2011 (October 1, 2010, to September 30, 2011), for tributaries to the Scituate Reservoir, Rhode Island. Streamflow and water-quality data used in the study were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB). Streamflow was measured or estimated by the USGS following standard methods at 23 streamgages; 14 of these streamgages were also equipped with instrumentation capable of continuously monitoring water level, specific conductance, and water temperature. Water-quality samples also were collected at 37 sampling stations by the PWSB and at 14 continuous-record streamgages by the USGS during WY 2011 as part of a long-term sampling program; all stations were in the Scituate Reservoir drainage area. Water-quality data collected by PWSB are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2011.</p>\n<br/>\n<p>The largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of about 37 cubic feet per second (ft<sup>3</sup>/s) to the reservoir during WY 2011. For the same time period, annual mean<sup>1</sup> streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.5 to about 21 ft<sup>3</sup>/s. Together, tributaries (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,600,000 kg (kilograms) of sodium and 2,600,000 kg of chloride to the Scituate Reservoir during WY 2011; sodium and chloride yields for the tributaries ranged from 9,800 to 53,000 kilograms per square mile (kg/mi<sup>2</sup>) and from 15,000 to 90,000 kg/mi<sup>2</sup>, respectively.</p>\n<br/>\n<p>At the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 20.0 milligrams per liter (mg/L), median nitrite concentration was 0.002 mg/L as nitrogen (N), median nitrate concentration was 0.01 mg/L as N, median orthophosphate concentration was 0.07 mg/L as phosphorus, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 33 and 23 colony forming units per 100 milliliters (CFU/100mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and E. coli bacteria were 230 kilograms per day (kg/d) (80 kilograms per day per square mile (kg/d/mi<sup>2</sup>)); 10 grams per day (g/d) (6.3 grams per day per square mile (g/d/mi<sup>2</sup>)); 110 g/d (29 g/d/mi<sup>2</sup>); 610 g/d (270 g/d/mi<sup>2</sup>); 4,600 million colony forming units per day (CFUx10<sup>6</sup>/d) (2,500 CFUx10<sup>6</sup>/d/mi<sup>2</sup>); and 1,800 CFUx10<sup>6</sup>/d (810 CFUx10<sup>6</sup>/d/mi<sup>2</sup>), respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131127","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Smith, K.P., 2013, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2011 (First posted July 23, 2013; Revised and reposted July 14, 2014, version 1.1): U.S. Geological Survey Open-File Report 2013-1127, vi, 32 p., https://doi.org/10.3133/ofr20131127.","productDescription":"vi, 32 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-09-30","temporalEnd":"2011-10-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":275281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131127.jpg"},{"id":275279,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1127/"},{"id":275280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1127/pdf/ofr2013-1127.pdf"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.0,41.5 ], [ -72.0,42.0 ], [ -71.5,42.0 ], [ -71.5,41.5 ], [ -72.0,41.5 ] ] ] } } ] }","edition":"First posted July 23, 2013; Revised and reposted July 14, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d9e4b0b09fbe58f16d","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047210,"text":"70047210 - 2013 - Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D","interactions":[],"lastModifiedDate":"2014-07-23T11:50:26","indexId":"70047210","displayToPublicDate":"2013-07-23T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D","docAbstract":"A numerical model was developed that is capable of simulating multispecies reactive solute transport in variably saturated porous media. This model consists of a modified version of the reactive transport model RT3D (Reactive Transport in 3 Dimensions) that is linked to the Unsaturated-Zone Flow (UZF1) package and MODFLOW. Referred to as UZF-RT3D, the model is tested against published analytical benchmarks as well as other published contaminant transport models, including HYDRUS-1D, VS2DT, and SUTRA, and the coupled flow and transport modeling system of CATHY and TRAN3D. Comparisons in one-dimensional, two-dimensional, and three-dimensional variably saturated systems are explored. While several test cases are included to verify the correct implementation of variably saturated transport in UZF-RT3D, other cases are included to demonstrate the usefulness of the code in terms of model run-time and handling the reaction kinetics of multiple interacting species in variably saturated subsurface systems. As UZF1 relies on a kinematic-wave approximation for unsaturated flow that neglects the diffusive terms in Richards equation, UZF-RT3D can be used for large-scale aquifer systems for which the UZF1 formulation is reasonable, that is, capillary-pressure gradients can be neglected and soil parameters can be treated as homogeneous. Decreased model run-time and the ability to include site-specific chemical species and chemical reactions make UZF-RT3D an attractive model for efficient simulation of multispecies reactive transport in variably saturated large-scale subsurface systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2012.01009.x","usgsCitation":"Bailey, R., Morway, E., Niswonger, R., and Gates, T., 2013, Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D: Ground Water, v. 51, no. 5, p. 752-761, https://doi.org/10.1111/j.1745-6584.2012.01009.x.","productDescription":"15 p.","startPage":"752","endPage":"761","numberOfPages":"10","ipdsId":"IP-041600","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":275435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275393,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.01009.x"}],"volume":"51","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"51f38c5be4b0a32220222f1b","contributors":{"authors":[{"text":"Bailey, Ryan T.","contributorId":105986,"corporation":false,"usgs":true,"family":"Bailey","given":"Ryan T.","affiliations":[],"preferred":false,"id":481403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D.","contributorId":72276,"corporation":false,"usgs":true,"family":"Morway","given":"Eric D.","affiliations":[],"preferred":false,"id":481401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":481400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gates, Timothy K.","contributorId":88246,"corporation":false,"usgs":true,"family":"Gates","given":"Timothy K.","affiliations":[],"preferred":false,"id":481402,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046834,"text":"70046834 - 2013 - Potentially induced earthquakes in Oklahoma, USA: links between wastewater injection and the 2011 M<sub>w</sub> 5.7 earthquake sequence","interactions":[],"lastModifiedDate":"2019-07-17T16:26:58","indexId":"70046834","displayToPublicDate":"2013-07-23T09:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Potentially induced earthquakes in Oklahoma, USA: links between wastewater injection and the 2011 M<sub>w</sub> 5.7 earthquake sequence","docAbstract":"Significant earthquakes are increasingly occurring within the continental interior of the United States, including five of moment magnitude (M<sub>w</sub>) ≥ 5.0 in 2011 alone. Concurrently, the volume of fluid injected into the subsurface related to the production of unconventional resources continues to rise. Here we identify the largest earthquake potentially related to injection, an M<sub>w</sub> 5.7 earthquake in November 2011 in Oklahoma. The earthquake was felt in at least 17 states and caused damage in the epicentral region. It occurred in a sequence, with 2 earthquakes of M<sub>w</sub> 5.0 and a prolific sequence of aftershocks. We use the aftershocks to illuminate the faults that ruptured in the sequence, and show that the tip of the initial rupture plane is within ~200 m of active injection wells and within ~1 km of the surface; 30% of early aftershocks occur within the sedimentary section. Subsurface data indicate that fluid was injected into effectively sealed compartments, and we interpret that a net fluid volume increase after 18 yr of injection lowered effective stress on reservoir-bounding faults. Significantly, this case indicates that decades-long lags between the commencement of fluid injection and the onset of induced earthquakes are possible, and modifies our common criteria for fluid-induced events. The progressive rupture of three fault planes in this sequence suggests that stress changes from the initial rupture triggered the successive earthquakes, including one larger than the first.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G34045.1","usgsCitation":"Keranen, K., Savage, H.M., Abers, G.A., and Cochran, E.S., 2013, Potentially induced earthquakes in Oklahoma, USA: links between wastewater injection and the 2011 M<sub>w</sub> 5.7 earthquake sequence: Geology, v. 41, no. 6, p. 699-702, https://doi.org/10.1130/G34045.1.","productDescription":"4 p.","startPage":"699","endPage":"702","ipdsId":"IP-039045","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":275269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274697,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G34045.1"}],"country":"United States","state":"Oklahoma","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.0,33.62 ], [ -103.0,37.0 ], [ -94.43,37.0 ], [ -94.43,33.62 ], [ -103.0,33.62 ] ] ] } } ] }","volume":"41","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d6e4b0b09fbe58f15d","contributors":{"authors":[{"text":"Keranen, Katie M.","contributorId":44064,"corporation":false,"usgs":true,"family":"Keranen","given":"Katie M.","affiliations":[],"preferred":false,"id":480414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, Heather M.","contributorId":65363,"corporation":false,"usgs":true,"family":"Savage","given":"Heather","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abers, Geoffrey A.","contributorId":90195,"corporation":false,"usgs":true,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":480413,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046061,"text":"70046061 - 2013 - Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","interactions":[],"lastModifiedDate":"2013-07-23T09:48:25","indexId":"70046061","displayToPublicDate":"2013-07-23T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","docAbstract":"An approach is presented in this study to aid water-resource managers in characterizing streamflow alteration at ungauged rivers. Such approaches can be used to take advantage of the substantial amounts of biological data collected at ungauged rivers to evaluate the potential ecological consequences of altered streamflows. National-scale random forest statistical models are developed to predict the likelihood that ungauged rivers have altered streamflows (relative to expected natural condition) for five hydrologic metrics (HMs) representing different aspects of the streamflow regime. The models use human disturbance variables, such as number of dams and road density, to predict the likelihood of streamflow alteration. For each HM, separate models are derived to predict the likelihood that the observed metric is greater than (‘inflated’) or less than (‘diminished’) natural conditions. The utility of these models is demonstrated by applying them to all river segments in the South Platte River in Colorado, USA, and for all 10-digit hydrologic units in the conterminous United States. In general, the models successfully predicted the likelihood of alteration to the five HMs at the national scale as well as in the South Platte River basin. However, the models predicting the likelihood of diminished HMs consistently outperformed models predicting inflated HMs, possibly because of fewer sites across the conterminous United States where HMs are inflated. The results of these analyses suggest that the primary predictors of altered streamflow regimes across the Nation are (i) the residence time of annual runoff held in storage in reservoirs, (ii) the degree of urbanization measured by road density and (iii) the extent of agricultural land cover in the river basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.2565","usgsCitation":"Eng, K., Carlisle, D.M., Wolock, D.M., and Falcone, J.A., 2013, Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States: River Research and Applications, v. 29, no. 6, p. 781-791, https://doi.org/10.1002/rra.2565.","productDescription":"10 p.","startPage":"781","endPage":"791","numberOfPages":"10","ipdsId":"IP-034661","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":275268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275267,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2565"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.14,25.89 ], [ -125.14,49.11 ], [ -66.95,49.11 ], [ -66.95,25.89 ], [ -125.14,25.89 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f161","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":478788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":478789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047160,"text":"70047160 - 2013 - Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory","interactions":[],"lastModifiedDate":"2013-07-23T09:22:27","indexId":"70047160","displayToPublicDate":"2013-07-23T09:17:55","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory","docAbstract":"In an effort to infer compositional information about distant targets based on multispectral imaging data, we investigated methods of relating Mars Exploration Rover (MER) Pancam multispectral remote sensing observations to in situ alpha particle X-ray spectrometer (APXS)-derived elemental abundances and Mössbauer (MB)-derived abundances of Fe-bearing phases at the MER field sites in Gusev crater and Meridiani Planum. The majority of the partial correlation coefficients between these data sets were not statistically significant. Restricting the targets to those that were abraded by the rock abrasion tool (RAT) led to improved Pearson’s correlations, most notably between the red–blue ratio (673 nm/434 nm) and Fe<sup>3+</sup>-bearing phases, but partial correlations were not statistically significant. Partial Least Squares (PLS) calculations relating Pancam 11-color visible to near-IR (VNIR; ∼400–1000 nm) “spectra” to APXS and Mössbauer element or mineral abundances showed generally poor performance, although the presence of compositional outliers led to improved PLS results for data from Meridiani. When the Meridiani PLS model for pyroxene was tested by predicting the pyroxene content of Gusev targets, the results were poor, indicating that the PLS models for Meridiani are not applicable to data from other sites. Soft Independent Modeling of Class Analogy (SIMCA) classification of Gusev crater data showed mixed results. Of the 24 Gusev test regions of interest (ROIs) with known classes, 11 had >30% of the pixels in the ROI classified correctly, while others were mis-classified or unclassified. k-Means clustering of APXS and Mössbauer data was used to assign Meridiani targets to compositional classes. The clustering-derived classes corresponded to meaningful geologic and/or color unit differences, and SIMCA classification using these classes was somewhat successful, with >30% of pixels correctly classified in 9 of the 11 ROIs with known classes.\n\nThis work shows that the relationship between SWIR multispectral imaging data and APXS- and Mössbauer-derived composition/mineralogy is often weak, a perhaps not entirely unexpected result given the different surface sampling depths of SWIR imaging (uppermost few microns) vs. APXS (tens of μm) and MB measurements (hundreds of μm). Results from the upcoming Mars Science Laboratory (MSL) rover’s ChemCam Laser Induced Breakdown Spectroscopy (LIBS) instrument may show a closer relationship to Mastcam SWIR multispectral observations, however, because the initial laser shots onto a target will analyze only the upper few micrometers of the surface. The clustering and classification methods used in this study can be applied to any data set to formalize the definition of classes and identify targets that do not fit in previously defined classes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2012.11.029","usgsCitation":"Anderson, R., and Bell, J.F., 2013, Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory: Icarus, v. 223, no. 1, p. 157-180, https://doi.org/10.1016/j.icarus.2012.11.029.","productDescription":"24 p.","startPage":"157","endPage":"180","ipdsId":"IP-036034","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":275266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275265,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2012.11.029"}],"otherGeospatial":"Mars","volume":"223","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d4e4b0b09fbe58f149","contributors":{"authors":[{"text":"Anderson, Ryan B.","contributorId":25438,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan B.","affiliations":[],"preferred":false,"id":481190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, James F. III","contributorId":12737,"corporation":false,"usgs":true,"family":"Bell","given":"James","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046880,"text":"70046880 - 2013 - Population genetics and evaluation of genetic evidence for subspecies in the Semipalmated Sandpiper (Calidris pusilla)","interactions":[],"lastModifiedDate":"2020-12-29T15:03:14.119164","indexId":"70046880","displayToPublicDate":"2013-07-23T08:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Population genetics and evaluation of genetic evidence for subspecies in the Semipalmated Sandpiper (Calidris pusilla)","docAbstract":"<p><span>Semipalmated Sandpipers (</span><i>Calidris pusilla</i><span>) are among the most common North American shorebirds. Breeding in Arctic North America, this species displays regional differences in migratory pathways and possesses longitudinal bill length variation. Previous investigations suggested that genetic structure may occur within Semipalmated Sandpipers and that three subspecies corresponding to western, central, and eastern breeding groups exist. In this study, mitochondrial control region sequences and nuclear microsatellite loci were used to analyze DNA of birds (microsatellites:&nbsp;</span><i>n</i><span>&nbsp;= 120; mtDNA:&nbsp;</span><i>n</i><span>&nbsp;= 114) sampled from seven North American locations. Analyses designed to quantify genetic structure and diversity patterns, evaluate genetic evidence for population size changes, and determine if genetic data support the existence of Semipalmated Sandpiper subspecies were performed. Genetic structure based only on the mtDNA data was observed, whereas the microsatellite loci provided no evidence of genetic differentiation. Differentiation among locations and regions reflected allele frequency differences rather than separate phylogenetic groups, and similar levels of genetic diversity were noted. Combined, the two data sets provided no evidence to support the existence of subspecies and were not useful for determining migratory connectivity between breeding sites and wintering grounds. Birds from western and central groups displayed signatures of population expansions, whereas the eastern group was more consistent with a stable overall population. Results of this analysis suggest that the eastern group was the source of individuals that colonized the central and western regions currently utilized by Semipalmated Sandpipers.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0206","usgsCitation":"Miller, M.P., Gratto-Trevor, C., Haig, S.M., Mizrahi, D.S., Mitchell, M.M., and Mullins, T., 2013, Population genetics and evaluation of genetic evidence for subspecies in the Semipalmated Sandpiper (Calidris pusilla): Waterbirds, v. 36, no. 2, p. 166-178, https://doi.org/10.1675/063.036.0206.","productDescription":"13 p.","startPage":"166","endPage":"178","ipdsId":"IP-042836","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.036.0206","text":"Publisher Index Page"},{"id":381723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.8,25.3 ], [ -178.8,83.2 ], [ -51.3,83.2 ], [ -51.3,25.3 ], [ -178.8,25.3 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d6e4b0b09fbe58f159","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":480555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gratto-Trevor, Cheri","contributorId":58539,"corporation":false,"usgs":true,"family":"Gratto-Trevor","given":"Cheri","affiliations":[],"preferred":false,"id":480559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mizrahi, David S.","contributorId":11100,"corporation":false,"usgs":true,"family":"Mizrahi","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Melanie M.","contributorId":38045,"corporation":false,"usgs":true,"family":"Mitchell","given":"Melanie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":480557,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148008,"text":"70148008 - 2013 - Active adaptive management for reintroduction of an animal population","interactions":[],"lastModifiedDate":"2017-05-03T15:14:52","indexId":"70148008","displayToPublicDate":"2013-07-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Active adaptive management for reintroduction of an animal population","docAbstract":"<p><span>Captive animals are frequently reintroduced to the wild in the face of uncertainty, but that uncertainty can often be reduced over the course of the reintroduction effort, providing the opportunity for adaptive management. One common uncertainty in reintroductions is the short-term survival rate of released adults (a release cost), an important factor because it can affect whether releasing adults or juveniles is better. Information about this rate can improve the success of the reintroduction program, but does the expected gain offset the costs of obtaining the information? I explored this question for reintroduction of the griffon vulture (</span><i>Gyps fulvus</i><span>) by framing the management question as a belief Markov decision process, characterizing uncertainty about release cost with 2 information state variables, and finding the solution using stochastic dynamic programming. For a reintroduction program of fixed length (e.g., 5 years of releases), the optimal policy in the final release year resembles the deterministic solution: release either all adults or all juveniles depending on whether the point estimate for the survival rate in question is above or below a specific threshold. But the optimal policy in the earlier release years 1) includes release of a mixture of juveniles and adults under some circumstances, and 2) recommends release of adults even when the point estimate of survival is much less than the deterministic threshold. These results show that in an iterated decision setting, the optimal decision in early years can be quite different from that in later years because of the value of learning.&nbsp;</span></p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.571","usgsCitation":"Runge, M.C., 2013, Active adaptive management for reintroduction of an animal population: Journal of Wildlife Management, v. 77, no. 6, p. 1135-1144, https://doi.org/10.1002/jwmg.571.","productDescription":"10 p.","startPage":"1135","endPage":"1144","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061273","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":307521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-14","publicationStatus":"PW","scienceBaseUri":"5553242ae4b0a92fa7e94c78","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":546754,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043380,"text":"70043380 - 2013 - Plot- and landscape-level changes in climate and vegetation following defoliation of exotic saltcedar (Tamarix sp.) from the biocontrol agent Diorhabda carinulata along a stream in the Mojave Desert (USA)","interactions":[],"lastModifiedDate":"2019-12-10T12:14:15","indexId":"70043380","displayToPublicDate":"2013-07-22T16:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Plot- and landscape-level changes in climate and vegetation following defoliation of exotic saltcedar (Tamarix sp.) from the biocontrol agent Diorhabda carinulata along a stream in the Mojave Desert (USA)","docAbstract":"The biocontrol agent, northern tamarisk beetle (Diorhabda carinulata), has been used to defoliate non-native saltcedar (Tamarix spp.) in USA western riparian systems since 2001. Biocontrol has the potential to impact biotic communities and climatic conditions in affected riparian areas. To determine the relationships between biocontrol establishment and effects on vegetation and climate at the plot and landscape scales, we measured temperature, relative humidity, foliage canopy, solar radiation, and used satellite imagery to assess saltcedar defoliation and evapotranspiration (ET) along the Virgin River in the Mojave Desert. Following defoliation solar radiation increased, daily humidity decreased, and maximum daily temperatures tended to increase. MODIS and Landsat satellite imagery showed defoliation was widespread, resulting in reductions in ET and vegetation indices. Because biocontrol beetles are spreading into new saltcedar habitats on arid western rivers, and the eventual equilibrium between beetles and saltcedar is unknown, it is necessary to monitor trends for ecosystem functions and higher trophic-level responses in habitats impacted by biocontrol.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2012.09.011","usgsCitation":"Bateman, H., Nagler, P.L., and Glenn, E.P., 2013, Plot- and landscape-level changes in climate and vegetation following defoliation of exotic saltcedar (Tamarix sp.) from the biocontrol agent Diorhabda carinulata along a stream in the Mojave Desert (USA): Journal of Arid Environments, v. 89, p. 16-20, https://doi.org/10.1016/j.jaridenv.2012.09.011.","productDescription":"5 p.","startPage":"16","endPage":"20","ipdsId":"IP-034241","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":275255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.49902343749999,\n              34.116352469972746\n            ],\n            [\n              -113.90625,\n              34.116352469972746\n            ],\n            [\n              -113.90625,\n              36.4566360115962\n            ],\n            [\n              -116.49902343749999,\n              36.4566360115962\n            ],\n            [\n              -116.49902343749999,\n              34.116352469972746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee465ae4b00ffbed48f869","contributors":{"authors":[{"text":"Bateman, H.L.","contributorId":36036,"corporation":false,"usgs":true,"family":"Bateman","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":473502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":777038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":473500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047143,"text":"ofr20131146 - 2013 - Geochronologic and geochemical data from Mesozoic rocks in the Black Mountain area northeast of Victorville, San Bernardino County, California","interactions":[],"lastModifiedDate":"2023-06-05T15:09:34.640808","indexId":"ofr20131146","displayToPublicDate":"2013-07-22T15:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1146","title":"Geochronologic and geochemical data from Mesozoic rocks in the Black Mountain area northeast of Victorville, San Bernardino County, California","docAbstract":"We present geochronologic and geochemical data for Mesozoic rocks in the Black Mountain area northeast of Victorville, California, to supplement previous geologic mapping. These data, together with previously published results, limit the depositional age of the sedimentary Fairview Valley Formation to Early Jurassic, refine the ages and chemical compositions of selected units in the overlying Jurassic Sidewinder Volcanics and of related intrusive units, and limit the age of some post-Sidewinder faulting in the Black Mountain area to a brief interval in the Late Jurassic. The new information contributes to a more complete understanding of the Mesozoic magmatic and tectonic evolution of the western Mojave Desert and surrounding regions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131146","usgsCitation":"Stone, P., Barth, A.P., Wooden, J., Fohey-Breting, N.K., Vazquez, J.A., and Priest, S.S., 2013, Geochronologic and geochemical data from Mesozoic rocks in the Black Mountain area northeast of Victorville, San Bernardino County, California: U.S. Geological Survey Open-File Report 2013-1146, iv, 31 p., https://doi.org/10.3133/ofr20131146.","productDescription":"iv, 31 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":275252,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131146.gif"},{"id":275250,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1146/","linkFileType":{"id":5,"text":"html"}},{"id":275251,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1146/of2013-1146.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"San Bernardino","otherGeospatial":"Black Mountain Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5823,34.07 ], [ -117.5823,34.98 ], [ -117.347,34.98 ], [ -117.347,34.07 ], [ -117.5823,34.07 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4655e4b00ffbed48f849","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Andrew P.","contributorId":94547,"corporation":false,"usgs":true,"family":"Barth","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":481160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":481159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fohey-Breting, Nicole K.","contributorId":102363,"corporation":false,"usgs":true,"family":"Fohey-Breting","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":481161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":481158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046978,"text":"70046978 - 2013 - Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma","interactions":[],"lastModifiedDate":"2020-10-15T16:06:09.072336","indexId":"70046978","displayToPublicDate":"2013-07-22T15:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma","docAbstract":"<p class=\"abstractnoin\">West Edmond field, located in central Oklahoma, is one of the largest oil accumulations in the Silurian–Devonian Hunton Group in this part of the Anadarko Basin. Production from all stratigraphic units in the field exceeds 170 million barrels of oil (MMBO) and 400 billion cubic feet of gas (BCFG), of which approximately 60 MMBO and 100 BCFG have been produced from the Hunton Group. Oil and gas are stratigraphically trapped to the east against the Nemaha uplift, to the north by a regional wedge-out of Hunton strata, and by intraformational diagenetic traps. Hunton Group reservoirs are the Bois d'Arc and Frisco Limestones, with lesser production from the Chimneyhill subgroup, Haragan Shale, and Henryhouse Formation.</p><p>Hunton Group cores from three wells that were examined petrographically indicate that complex diagenetic relations influence permeability and reservoir quality. Greatest porosity and permeability are associated with secondary dissolution in packstones and grainstones, forming hydrocarbon reservoirs. The overlying Devonian–Mississippian Woodford Shale is the major petroleum source rock for the Hunton Group in the field, based on one-dimensional and four-dimensional petroleum system models that were calibrated to well temperature and Woodford Shale vitrinite reflectance data. The source rock is marginally mature to mature for oil generation in the area of the West Edmond field, and migration of Woodford oil and gas from deeper parts of the basin also contributed to hydrocarbon accumulation.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/12031212075","usgsCitation":"Gaswirth, S., and Higley, D.K., 2013, Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma: American Association of Petroleum Geologists Bulletin, v. 97, no. 7, p. 1163-1179, https://doi.org/10.1306/12031212075.","productDescription":"17 p.","startPage":"1163","endPage":"1179","ipdsId":"IP-033936","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":275244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"West Edmond Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.0025,33.6158 ], [ -103.0025,37.0023 ], [ -94.4307,37.0023 ], [ -94.4307,33.6158 ], [ -103.0025,33.6158 ] ] ] } } ] }","volume":"97","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4659e4b00ffbed48f85d","contributors":{"authors":[{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":3109,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":480787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}