{"pageNumber":"473","pageRowStart":"11800","pageSize":"25","recordCount":46651,"records":[{"id":70147158,"text":"ofr20151081 - 2015 - Storm tide monitoring during the blizzard of January 26-28, 2015, in eastern Massachusetts","interactions":[],"lastModifiedDate":"2015-05-01T14:55:29","indexId":"ofr20151081","displayToPublicDate":"2015-05-01T15:45:00","publicationYear":"2015","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":"2015-1081","title":"Storm tide monitoring during the blizzard of January 26-28, 2015, in eastern Massachusetts","docAbstract":"<p>The U.S. Geological Survey (USGS) deployed a temporary monitoring network of six storm surge sensors and four barometric pressure sensors along the Atlantic coast in eastern Massachusetts, from Plymouth to Newburyport, before the blizzard of January 26&ndash;28, 2015 (Blizzard of January 2015), to record the timing and magnitude of storm tide at select locations where forecasters had predicted the potential for coastal flooding. Additionally, water-level data were recorded and transmitted in near real-time from four permanent USGS tidal stations&mdash;three on Cape Cod and one near the mouth of the Merrimack River in Newburyport. The storm surge sensors were deployed at previously established fixed sites outfitted with presurveyed mounting brackets. The mounting brackets were installed in 2014 as part of the USGS Surge, Wave, and Tide Hydrodynamic (SWaTH) Network (<a href=\"http://pubs.usgs.gov/of/2015/1081/508pdf/ofr20150-1081.pdf\">https://water.usgs.gov/floods/STN/</a>), which was funded through congressional supplemental appropriations for the U.S. Department of the Interior after the devastating landfall of Hurricane Sandy on October 29, 2012 (Simmons and others, 2014). The USGS received this funding to enable better understanding of coastal flooding hazards in the region, to improve preparedness for future coastal storms, and to increase the resilience of coastal cities, infrastructure, and natural systems in the region (Buxton and others, 2013). The USGS established 163 monitoring locations along the New England coast for the SWaTH Network, including 70 sites in Massachusetts.</p>\n<p>The Blizzard of January 2015 was a powerful and destructive storm that threatened public safety and led to widespread cancellations and delays at transportation hubs, schools, and businesses in Massachusetts, including, for example, the closure of General Edward Lawrence Logan (Boston-Logan) International Airport and cancellation of all flights on January 27 and a statewide travel ban issued for January 28. A total of 24.6 inches of snowfall and winds up to 45 miles per hour (mi/hr) were recorded at the airport. Several coastal communities were affected and experienced flooding, overwash, and damage to seawalls, dwellings, and other infrastructure. In Scituate, the National Guard was sent to rescue people from flooding, and power was cut to some areas of the town to prevent electrical fires.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151081","usgsCitation":"Massey, A.J., and Verdi, R.J., 2015, Storm tide monitoring during the blizzard of January 26-28, 2015, in eastern Massachusetts: U.S. Geological Survey Open-File Report 2015-1081, iv, 7 p., https://doi.org/10.3133/ofr20151081.","productDescription":"iv, 7 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2015-01-26","temporalEnd":"2015-01-28","ipdsId":"IP-064196","costCenters":[{"id":466,"text":"New England Water Science 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ajmassey@usgs.gov","orcid":"https://orcid.org/0000-0003-3995-8657","contributorId":1862,"corporation":false,"usgs":true,"family":"Massey","given":"Andrew","email":"ajmassey@usgs.gov","middleInitial":"J.","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":545712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdi, Richard J. 0000-0002-7093-9203 rverdi@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9203","contributorId":1098,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","email":"rverdi@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":545713,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175997,"text":"70175997 - 2015 - Moment tensors and other source parameters of mining‐induced earthquakes in TauTona Mine, South Africa","interactions":[],"lastModifiedDate":"2018-08-07T14:08:47","indexId":"70175997","displayToPublicDate":"2015-05-01T14:08:40","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Moment tensors and other source parameters of mining‐induced earthquakes in TauTona Mine, South Africa","docAbstract":"<p><span>Induced seismicity exhibits diverse source mechanisms that are often difficult to constrain for small events. Here, we use data from the in‐mine seismic network, the Natural Earthquake Laboratory in South African Mines network, and a temporary Program for the Array Seismic Studies of the Continental Lithosphere deployment in TauTona Mine, South Africa, to determine full moment tensors of 100 mining‐induced earthquakes in the magnitude range −2.7&lt;</span><i>M</i><sub>w</sub><span>&lt;2.5. Ground displacement derived from velocity and acceleration data show clear near‐field effects, indicating that the lowest frequencies are well resolved. Phase amplitudes of between 11 and 77 picks per event were inverted to obtain the six independent moment tensor components. The quality of each moment tensor solution is quantified using (1)&nbsp;the misfit between observed and synthetic waveforms, (2)&nbsp;bootstrap resampling to estimate uncertainties, and (3)&nbsp;the&nbsp;</span><i>F</i><span>‐test to determine the need for including an isotropic component with an extra degree of freedom in the solution. The results indicate 82% of the events have well‐constrained solutions, and 45% of the well‐constrained events require an isotropic source term. Throughout the magnitude range, both deviatoric and implosive mechanisms are observed, with implosive ratios of volume change to shear deformation (ΔV/Σ</span><i>τ</i><span>) of −1.03 to −0.15. Two explosive events are observed at&nbsp;</span><i>M</i><sub>w</sub><span>−0.5 and −0.2, withΔV/Σ</span><i>τ</i><span>=0.15 and 0.51, respectively. For the largest events, we determine maximum slip and apparent stress (</span><i>τ</i><sub><i>a</i></sub><span>) and find values consistent with those of natural tectonic earthquakes, with 0.1≤</span><i>τ</i><sub><i>a</i></sub><span>≤9.2  MPa. Our results support previous speculation on the nature of isotropic components of mining‐induced earthquakes, in which events of all sizes begin as shear failure that may intersect a void (tunnel or stope) and cause collapse, whereas only small events result in explosive sources.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140300","usgsCitation":"Boettcher, M.S., Kane, D.L., McGarr, A.F., Johnston, M.J., and Reches, Z., 2015, Moment tensors and other source parameters of mining‐induced earthquakes in TauTona Mine, South Africa: Bulletin of the Seismological Society of America, v. 105, no. 3, p. 1576-1593, https://doi.org/10.1785/0120140300.","productDescription":"18 p.","startPage":"1576","endPage":"1593","ipdsId":"IP-060517","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":356291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","otherGeospatial":"TauTona Mine","volume":"105","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-20","publicationStatus":"PW","scienceBaseUri":"5b6fcc10e4b0f5d57878ecca","contributors":{"authors":[{"text":"Boettcher, Margaret S.","contributorId":53263,"corporation":false,"usgs":true,"family":"Boettcher","given":"Margaret","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":646773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kane, Deborah L.","contributorId":173977,"corporation":false,"usgs":false,"family":"Kane","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":646774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, Malcolm J. S. 0000-0003-4326-8368 mal@usgs.gov","orcid":"https://orcid.org/0000-0003-4326-8368","contributorId":622,"corporation":false,"usgs":true,"family":"Johnston","given":"Malcolm","email":"mal@usgs.gov","middleInitial":"J. S.","affiliations":[],"preferred":true,"id":646775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reches, Ze’ev","contributorId":173978,"corporation":false,"usgs":false,"family":"Reches","given":"Ze’ev","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":646776,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155516,"text":"70155516 - 2015 - Temporal patterns in adult salmon migration timing across southeast Alaska","interactions":[],"lastModifiedDate":"2015-08-10T10:49:46","indexId":"70155516","displayToPublicDate":"2015-05-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal patterns in adult salmon migration timing across southeast Alaska","docAbstract":"<p>Pacific salmon migration timing can drive population productivity, ecosystem dynamics, and human harvest. Nevertheless, little is known about long-term variation in salmon migration timing for multiple species across broad regions. We used long-term data for five Pacific salmon species throughout rapidly warming southeast Alaska to describe long-term changes in salmon migration timing, interannual phenological synchrony, relationships between climatic variation and migratory timing, and to test whether long-term changes in migration timing are related to glaciation in headwater streams. Temporal changes in the median date of salmon migration timing varied widely across species. Most sockeye populations are migrating later over time (11 of 14), but pink, chum, and especially coho populations are migrating earlier than they did historically (16 of 19 combined). Temporal trends in duration and interannual variation in migration timing were highly variable across species and populations. The greatest temporal shifts in the median date of migration timing were correlated with decreases in the duration of migration timing, suggestive of a loss of phenotypic variation due to natural selection. Pairwise interannual correlations in migration timing varied widely but were generally positive, providing evidence for weak region-wide phenological synchrony. This synchrony is likely a function of climatic variation, as interannual variation in migration timing was related to climatic phenomenon operating at large- (Pacific decadal oscillation), moderate- (sea surface temperature), and local-scales (precipitation). Surprisingly, the presence or the absence of glaciers within a watershed was unrelated to long-term shifts in phenology. Overall, there was extensive heterogeneity in long-term patterns of migration timing throughout this climatically and geographically complex region, highlighting that future climatic change will likely have widely divergent impacts on salmon migration timing. Although salmon phenological diversity will complicate future predictions of migration timing, this variation likely acts as a major contributor to population and ecosystem resiliency in southeast Alaska.</p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/gcb.12829","usgsCitation":"Kovach, R., Ellison, S., Pyare, S., and Tallmon, D., 2015, Temporal patterns in adult salmon migration timing across southeast Alaska: Global Change Biology, v. 21, no. 5, p. 1821-1833, https://doi.org/10.1111/gcb.12829.","productDescription":"13 p.","startPage":"1821","endPage":"1833","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061254","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12829","text":"Publisher Index Page"},{"id":306531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southeast Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.35009765625,\n              59.60109549032134\n            ],\n            [\n              -134.80224609375,\n              60.941106295036136\n            ],\n            [\n              -130.693359375,\n              60.27251459483244\n            ],\n            [\n              -128.64990234375,\n              58.90464570302001\n            ],\n            [\n              -128.38623046875,\n              56.48676175249086\n            ],\n            [\n              -127.77099609374999,\n              55.29162848682989\n            ],\n            [\n              -129.9462890625,\n              54.23955053156179\n            ],\n            [\n              -132.91259765625,\n              53.46189043285914\n            ],\n            [\n              -141.35009765625,\n              59.60109549032134\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-06","publicationStatus":"PW","scienceBaseUri":"55c9cb39e4b08400b1fdb72e","chorus":{"doi":"10.1111/gcb.12829","url":"http://dx.doi.org/10.1111/gcb.12829","publisher":"Wiley-Blackwell","authors":"Kovach Ryan P., Ellison Stephen C., Pyare Sanjay, Tallmon David A.","journalName":"Global Change Biology","publicationDate":"2/6/2015","auditedOn":"6/11/2015"},"contributors":{"authors":[{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":565655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Stephen","contributorId":145919,"corporation":false,"usgs":false,"family":"Ellison","given":"Stephen","email":"","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":565656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyare, Sanjay","contributorId":47135,"corporation":false,"usgs":true,"family":"Pyare","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":565657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tallmon, David","contributorId":145920,"corporation":false,"usgs":false,"family":"Tallmon","given":"David","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":565658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148076,"text":"70148076 - 2015 - AMDTreat 5.0+ with PHREEQC titration module to compute caustic chemical quantity, effluent quality, and sludge volume","interactions":[],"lastModifiedDate":"2020-02-25T15:43:38","indexId":"70148076","displayToPublicDate":"2015-05-01T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2745,"text":"Mine Water and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"AMDTreat 5.0+ with PHREEQC titration module to compute caustic chemical quantity, effluent quality, and sludge volume","docAbstract":"<p>Alkaline chemicals are commonly added to discharges from coal mines to increase pH and decrease concentrations of acidity and dissolved aluminum, iron, manganese, and associated metals. The annual cost of chemical treatment depends on the type and quantities of chemicals added and sludge produced. The AMDTreat computer program, initially developed in 2003, is widely used to compute such costs on the basis of the user-specified flow rate and water quality data for the untreated AMD. Although AMDTreat can use results of empirical titration of net-acidic or net-alkaline effluent with caustic chemicals to accurately estimate costs for treatment, such empirical data are rarely available. A titration simulation module using the geochemical program PHREEQC has been incorporated with AMDTreat 5.0+ to improve the capability of AMDTreat to estimate: (1) the quantity and cost of caustic chemicals to attain a target pH, (2) the chemical composition of the treated effluent, and (3) the volume of sludge produced by the treatment. The simulated titration results for selected caustic chemicals (NaOH, CaO, Ca(OH)2, Na2CO3, or NH3) without aeration or with pre-aeration can be compared with or used in place of empirical titration data to estimate chemical quantities, treated effluent composition, sludge volume (precipitated metals plus unreacted chemical), and associated treatment costs. This paper describes the development, evaluation, and potential utilization of the PHREEQC titration module with the new AMDTreat 5.0+ computer program available at http://www.amd.osmre.gov/.</p>","language":"English","publisher":"International Mine Water Association","publisherLocation":"Berlin","doi":"10.1007/s10230-014-0292-6","usgsCitation":"Cravotta, C., Means, B.P., Arthur, W., McKenzie, R.M., and Parkhurst, D.L., 2015, AMDTreat 5.0+ with PHREEQC titration module to compute caustic chemical quantity, effluent quality, and sludge volume: Mine Water and the Environment, v. 34, no. 2, p. 136-152, https://doi.org/10.1007/s10230-014-0292-6.","productDescription":"17 p.","startPage":"136","endPage":"152","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043936","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":300543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-27","publicationStatus":"PW","scienceBaseUri":"555c5eafe4b0a92fa7eacbf0","contributors":{"authors":[{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Means, Brent P","contributorId":140842,"corporation":false,"usgs":false,"family":"Means","given":"Brent","email":"","middleInitial":"P","affiliations":[{"id":13592,"text":"US Office of Surface Mining","active":true,"usgs":false}],"preferred":false,"id":547176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthur, Willam","contributorId":140844,"corporation":false,"usgs":false,"family":"Arthur","given":"Willam","email":"","affiliations":[{"id":13592,"text":"US Office of Surface Mining","active":true,"usgs":false}],"preferred":false,"id":547178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Robert M","contributorId":140843,"corporation":false,"usgs":false,"family":"McKenzie","given":"Robert","email":"","middleInitial":"M","affiliations":[{"id":13592,"text":"US Office of Surface Mining","active":true,"usgs":false}],"preferred":false,"id":547177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":547175,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147959,"text":"70147959 - 2015 - The interaction of intraspecific competition and habitat on individual diet specialization: a near range-wide examination of sea otters","interactions":[],"lastModifiedDate":"2015-05-11T10:03:24","indexId":"70147959","displayToPublicDate":"2015-05-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"The interaction of intraspecific competition and habitat on individual diet specialization: a near range-wide examination of sea otters","docAbstract":"<p>The quantification of individuality is a common research theme in the fields of population, community, and evolutionary ecology. The potential for individuality to arise is likely context-dependent, and the influence of habitat characteristics on its prevalence has received less attention than intraspecific competition. We examined individual diet specialization in 16 sea otter (Enhydra lutris) populations from southern California to the Aleutian Islands in Alaska. Because population histories, relative densities, and habitat characteristics vary widely among sites, we could examine the effects of intraspecific competition and habitat on the prevalence of individual diet specialization. Using observed diet data, we classified half of our sites as rocky substrate habitats and the other half containing a mixture of rocky and unconsolidated (soft) sediment substrates. We used stable isotope data to quantify population- and individual-level diet variation. Among rocky substrate sites, the slope [&plusmn;standard error (SE)] of the positive significant relationship between the within-individual component (WIC) and total isotopic niche width (TINW) was shallow (0.23 &plusmn; 0.07) and negatively correlated with sea otter density. In contrast, the slope of the positive WIC/TINW relationship for populations inhabiting mixed substrate habitats was much higher (0.53 &plusmn; 0.14), suggesting a low degree of individuality, irrespective of intraspecific competition. Our results show that the potential for individuality to occur as a result of increasing intraspecific competition is context-dependent and that habitat characteristics, which ultimately influence prey diversity, relative abundance, and the range of skillsets required for efficient prey procurement, are important in determining when and where individual diet specialization occurs in nature.</p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin","doi":"10.1007/s00442-015-3223-8","collaboration":"USFWS, Alaska DFG","usgsCitation":"Newsome, S.D., Tinker, M.T., Gill, V., Hoyt, Z.N., Doroff, A.M., Nichol, L., and Bodkin, J.L., 2015, The interaction of intraspecific competition and habitat on individual diet specialization: a near range-wide examination of sea otters: Oecologia, v. 178, no. 1, p. 45-59, https://doi.org/10.1007/s00442-015-3223-8.","productDescription":"15 p.","startPage":"45","endPage":"59","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060511","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":300271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-03","publicationStatus":"PW","scienceBaseUri":"5551d2bce4b0a92fa7e93c17","contributors":{"authors":[{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":546494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":546493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, Verena A.","contributorId":140658,"corporation":false,"usgs":false,"family":"Gill","given":"Verena A.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":546496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoyt, Zachary N.","contributorId":140659,"corporation":false,"usgs":false,"family":"Hoyt","given":"Zachary","email":"","middleInitial":"N.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":546497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doroff, Angela M.","contributorId":140660,"corporation":false,"usgs":false,"family":"Doroff","given":"Angela","email":"","middleInitial":"M.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":546498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichol, Linda","contributorId":140661,"corporation":false,"usgs":false,"family":"Nichol","given":"Linda","affiliations":[{"id":13015,"text":"Department of Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":546499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":546495,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148061,"text":"70148061 - 2015 - Inter-laboratory variation in the chemical analysis of acidic forest soil reference samples from eastern North America","interactions":[],"lastModifiedDate":"2015-05-18T09:22:41","indexId":"70148061","displayToPublicDate":"2015-05-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Inter-laboratory variation in the chemical analysis of acidic forest soil reference samples from eastern North America","docAbstract":"<p>Long-term forest soil monitoring and research often requires a comparison of laboratory data generated at different times and in different laboratories. Quantifying the uncertainty associated with these analyses is necessary to assess temporal changes in soil properties. Forest soil chemical properties, and methods to measure these properties, often differ from agronomic and horticultural soils. Soil proficiency programs do not generally include forest soil samples that are highly acidic, high in extractable Al, low in extractable Ca and often high in carbon. To determine the uncertainty associated with specific analytical methods for forest soils, we collected and distributed samples from two soil horizons (Oa and Bs) to 15 laboratories in the eastern United States and Canada. Soil properties measured included total organic carbon and nitrogen, pH and exchangeable cations. Overall, results were consistent despite some differences in methodology. We calculated the median absolute deviation (MAD) for each measurement and considered the acceptable range to be the median 6 2.5 3 MAD. Variability among laboratories was usually as low as the typical variability within a laboratory. A few areas of concern include a lack of consistency in the measurement and expression of results on a dry weight basis, relatively high variability in the C/N ratio in the Bs horizon, challenges associated with determining exchangeable cations at concentrations near the lower reporting range of some laboratories and the operationally defined nature of aluminum extractability. Recommendations include a continuation of reference forest soil exchange programs to quantify the uncertainty associated with these analyses in conjunction with ongoing efforts to review and standardize laboratory methods.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00209.1","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Ross, D., Bailiey, S.W., Briggs, R., Curry, J., Fernandez, I.J., Fredriksen, G., Goodale, C.L., Hazlett, P.W., Heine, P.R., Johnson, C.E., Larson, J.T., Lawrence, G.B., Kolka, R.K., , O., Pare, D., Richter, D.D., Shirmer, C.D., and Warby, R.A., 2015, Inter-laboratory variation in the chemical analysis of acidic forest soil reference samples from eastern North America: Ecosphere, v. 6, no. 5, p. 1-22, https://doi.org/10.1890/ES14-00209.1.","productDescription":"22 p.","startPage":"1","endPage":"22","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060718","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":490035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00209.1","text":"Publisher Index Page"},{"id":300461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-08","publicationStatus":"PW","scienceBaseUri":"555b0d50e4b0a92fa7eac62b","contributors":{"authors":[{"text":"Ross, Donald S.","contributorId":9565,"corporation":false,"usgs":true,"family":"Ross","given":"Donald S.","affiliations":[],"preferred":false,"id":547022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailiey, Scott W","contributorId":140803,"corporation":false,"usgs":false,"family":"Bailiey","given":"Scott","email":"","middleInitial":"W","affiliations":[{"id":13575,"text":"Research Geologist, Hubbard Brook Experimental Forest, USDA Forest Service, North Woodstock, NH","active":true,"usgs":false}],"preferred":false,"id":547023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Russell D","contributorId":140804,"corporation":false,"usgs":false,"family":"Briggs","given":"Russell D","affiliations":[{"id":13576,"text":"Professor, Div of Environmental Science, SUNY College of ESF, Syracuse NY","active":true,"usgs":false}],"preferred":false,"id":547024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curry, Johanna","contributorId":140805,"corporation":false,"usgs":false,"family":"Curry","given":"Johanna","email":"","affiliations":[{"id":13577,"text":"Supervisor, Great Lakes Forestry Centre, Sault Ste. Marie, Canada","active":true,"usgs":false}],"preferred":false,"id":547025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez, Ivan J.","contributorId":80174,"corporation":false,"usgs":true,"family":"Fernandez","given":"Ivan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fredriksen, Guinevere","contributorId":140806,"corporation":false,"usgs":false,"family":"Fredriksen","given":"Guinevere","email":"","affiliations":[{"id":13578,"text":"Research Support Spec I, Ecology & Evolutionary Biology, Cornell University, Ithaca NY","active":true,"usgs":false}],"preferred":false,"id":547027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodale, Christine L.","contributorId":22638,"corporation":false,"usgs":true,"family":"Goodale","given":"Christine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":547028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hazlett, Paul W.","contributorId":101177,"corporation":false,"usgs":true,"family":"Hazlett","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":547029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heine, Paul R","contributorId":140807,"corporation":false,"usgs":false,"family":"Heine","given":"Paul","email":"","middleInitial":"R","affiliations":[{"id":13579,"text":"Lab Admin, Nicholas School of the Environment, Duke University, Durham NC","active":true,"usgs":false}],"preferred":false,"id":547030,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Chris E.","contributorId":17539,"corporation":false,"usgs":true,"family":"Johnson","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":547031,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larson, John T","contributorId":140808,"corporation":false,"usgs":false,"family":"Larson","given":"John","email":"","middleInitial":"T","affiliations":[{"id":13580,"text":"Chemist, National Research Station, USDA Forest Service, Grand Rapids MN","active":true,"usgs":false}],"preferred":false,"id":547032,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547021,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kolka, Randy K","contributorId":140809,"corporation":false,"usgs":false,"family":"Kolka","given":"Randy","email":"","middleInitial":"K","affiliations":[{"id":13581,"text":"Research Soil Scientist, National Research Station, USDA Forest Service, Grand Rapids MN","active":true,"usgs":false}],"preferred":false,"id":547033,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":" Ouimet","contributorId":140810,"corporation":false,"usgs":false,"given":"Ouimet","email":"","affiliations":[{"id":13582,"text":"Director of Forestry Research, Dept of Natural Resources & Wildlife, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":547034,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pare, D","contributorId":140812,"corporation":false,"usgs":false,"family":"Pare","given":"D","affiliations":[{"id":13584,"text":"Natural Resources Canada, Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":547038,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Richter, Daniel D.","contributorId":99458,"corporation":false,"usgs":true,"family":"Richter","given":"Daniel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547035,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shirmer, Charles D","contributorId":140811,"corporation":false,"usgs":false,"family":"Shirmer","given":"Charles","email":"","middleInitial":"D","affiliations":[{"id":13583,"text":"Instructional Support Specialist, Dept of Forest & Natural Resources Mgmt, SUNY College of ESF, Syracuse NY","active":true,"usgs":false}],"preferred":false,"id":547036,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Warby, Richard A.F.","contributorId":94950,"corporation":false,"usgs":true,"family":"Warby","given":"Richard","email":"","middleInitial":"A.F.","affiliations":[],"preferred":false,"id":547037,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70148553,"text":"70148553 - 2015 - From patterns to causal understanding: Structural equation modeling (SEM) in soil ecology","interactions":[],"lastModifiedDate":"2015-06-12T09:27:45","indexId":"70148553","displayToPublicDate":"2015-05-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3024,"text":"Pedobiologia","active":true,"publicationSubtype":{"id":10}},"title":"From patterns to causal understanding: Structural equation modeling (SEM) in soil ecology","docAbstract":"<p>In this perspectives paper we highlight a heretofore underused statistical method in soil ecological research, structural equation modeling (SEM). SEM is commonly used in the general ecological literature to develop causal understanding from observational data, but has been more slowly adopted by soil ecologists. We provide some basic information on the many advantages and possibilities associated with using SEM and provide some examples of how SEM can be used by soil ecologists to shift focus from describing patterns to developing causal understanding and inspiring new types of experimental tests. SEM is a promising tool to aid the growth of soil ecology as a discipline, particularly by supporting research that is increasingly hypothesis-driven and interdisciplinary, thus shining light into the black box of interactions belowground.</p>","language":"English","publisher":"ScienceDirect","publisherLocation":"Amsterdam","doi":"10.1016/j.pedobi.2015.03.002","usgsCitation":"Eisenhauer, N., Powell, J.R., Grace, J.B., and Bowker, M.A., 2015, From patterns to causal understanding: Structural equation modeling (SEM) in soil ecology: Pedobiologia, v. 58, no. 2-3, p. 65-72, https://doi.org/10.1016/j.pedobi.2015.03.002.","productDescription":"8 p.","startPage":"65","endPage":"72","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064082","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.pedobi.2015.03.002","text":"Publisher Index Page"},{"id":301181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"2-3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02cee4b023124e8edf17","chorus":{"doi":"10.1016/j.pedobi.2015.03.002","url":"http://dx.doi.org/10.1016/j.pedobi.2015.03.002","publisher":"Elsevier BV","authors":"Eisenhauer Nico, Bowker Matthew A., Grace James B., Powell Jeff R.","journalName":"Pedobiologia","publicationDate":"3/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Eisenhauer, Nico","contributorId":141161,"corporation":false,"usgs":false,"family":"Eisenhauer","given":"Nico","email":"","affiliations":[{"id":13699,"text":"German Centre for Integrative Biodiversity Research, Germany","active":true,"usgs":false}],"preferred":false,"id":548592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Jeff R","contributorId":141162,"corporation":false,"usgs":false,"family":"Powell","given":"Jeff","email":"","middleInitial":"R","affiliations":[{"id":13700,"text":"University of Western Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":548594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":548610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":548611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144914,"text":"sir20155052 - 2015 - Dam-breach analysis and flood-inundation mapping for selected dams in Oklahoma City, Oklahoma, and near Atoka, Oklahoma","interactions":[],"lastModifiedDate":"2015-05-01T09:03:41","indexId":"sir20155052","displayToPublicDate":"2015-05-01T08:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5052","title":"Dam-breach analysis and flood-inundation mapping for selected dams in Oklahoma City, Oklahoma, and near Atoka, Oklahoma","docAbstract":"<p>Dams provide beneficial functions such as flood control, recreation, and storage of water supplies, but they also entail risk; dam breaches and resultant floods can cause substantial property damage and loss of life. The State of Oklahoma requires each owner of a high-hazard dam, which the Federal Emergency Management Agency defines as dams for which failure or improper operation probably will cause loss of human life, to develop an emergency action plan specific to that dam. Components of an emergency action plan are to simulate a flood resulting from a possible dam breach and map the resulting downstream flood-inundation areas. The resulting flood-inundation maps can provide valuable information to city officials, emergency managers, and local residents for planning an emergency response if a dam breach occurs.</p>\n<p>This report presents results of a cooperative study by the U.S. Geological Survey and the City of Oklahoma City to model dam-breach scenarios at 11 dams controlled and operated by Oklahoma City, Okla., and to map the potential flood-inundation areas of such dam breaches. To assist the City of Oklahoma City with completion of the emergency action plans for the 11 dams, the U.S. Geological Survey used light detection and ranging (lidar) elevation data (2004), which produced a 2-foot contour elevation map for the flood plains around Oklahoma City. A 5-meter Digital Terrain Map was used to model the flood plain below Atoka Reservoir in southeastern Oklahoma.</p>\n<p>Digital-elevation models, field survey measurements, hydraulic data, and hydrologic data (U.S. Geological Survey streamflow-gaging stations North Canadian River below Lake Overholser near Oklahoma City, Okla. [07241000], and North Canadian River at Britton Road at Oklahoma City, Okla. [07241520]), were used as inputs for the one-dimensional dynamic (unsteady-flow) models using Hydrologic Engineering Centers River Analysis System (HEC&ndash;RAS) software. The modeled flood elevations were exported to a geographic information system to produce flood-inundation maps. Water-surface profiles were developed for a 75-percent probable maximum flood dam-breach scenario and a sunny-day dam-breach scenario, as well as for maximum flood-inundation elevations and flood-wave arrival times at selected bridge crossings. Points of interest such as community-services offices, recreational areas, water-treatment plants, and wastewater-treatment plants were identified on the flood-inundation maps.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155052","collaboration":"Prepared in cooperation with the City of Oklahoma City, Oklahoma","usgsCitation":"Shivers, M.J., Smith, S.J., Grout, T.S., and Lewis, J.M., 2015, Dam-breach analysis and flood-inundation mapping for selected dams in Oklahoma City, Oklahoma, and near Atoka, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2015-5052, iv, 62 p., https://doi.org/10.3133/sir20155052.","productDescription":"iv, 62 p.","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062194","costCenters":[{"id":516,"text":"Oklahoma Water Science 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,{"id":70190555,"text":"70190555 - 2015 - Intertidal biological indicators of coseismic subsidence during the Mw 7.8 Haida Gwaii, Canada, earthquake","interactions":[],"lastModifiedDate":"2017-09-07T12:05:54","indexId":"70190555","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Intertidal biological indicators of coseismic subsidence during the M<sub>w</sub> 7.8 Haida Gwaii, Canada, earthquake","title":"Intertidal biological indicators of coseismic subsidence during the Mw 7.8 Haida Gwaii, Canada, earthquake","docAbstract":"<p><span>The 28 October 2012&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;7.8 Haida Gwaii earthquake was a megathrust earthquake along the very obliquely convergent Queen Charlotte margin of British Columbia, Canada. Coseismic deformation is not well constrained by geodesy, with only six Global Positioning System (GPS) sites and two tide gauge stations within 250&nbsp;km of the rupture area. To better constrain vertical coseismic deformation, we measured the upper growth limits of two sessile intertidal organisms, which are controlled by physical conditions, relative to sea level at 25 sites 5 months after the earthquake. We measured the positions of rockweed (</span><i>Fucus distichus</i><span>, 617 observations) and the common acorn barnacle (</span><i>Balanus balanoides</i><span>, 686 observations). The study focused on the western side of the islands where rupture models indicated that the greatest amount of vertical displacement, but we also investigated sites well away from the inferred rupture area to provide a control on the upper limit of the organisms unaffected by vertical displacement. We also made 322 measurements of sea level to relate the growth limits to a tidal datum using the TPXO7.2 tidal model, rather than ellipsoid heights determined by GPS. Three methods of examining the data all indicate 0.4–0.6&nbsp;m subsidence along the western coast of Moresby Island as a result of the 28 October 2012 Haida Gwaii earthquake. Our data are, within the errors, consistent with data from two campaign GPS sites along the west coast of Haida Gwaii and with rupture models that indicate megathrust rupture offshore, but not beneath, the islands.</span></p>","language":"English","publisher":"Seismological Society of Amercia","doi":"10.1785/0120140197","usgsCitation":"Haeussler, P.J., Witter, R., and Wang, K., 2015, Intertidal biological indicators of coseismic subsidence during the Mw 7.8 Haida Gwaii, Canada, earthquake: Bulletin of the Seismological Society of America, v. 105, no. 2B, p. 1265-1279, https://doi.org/10.1785/0120140197.","productDescription":"15 p.","startPage":"1265","endPage":"1279","ipdsId":"IP-061096","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":345541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","volume":"105","issue":"2B","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-14","publicationStatus":"PW","scienceBaseUri":"59b25b01e4b020cdf7db1fc4","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","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":709779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":709780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Kelin","contributorId":194791,"corporation":false,"usgs":false,"family":"Wang","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":709781,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154907,"text":"70154907 - 2015 - Population connectivity of endangered Ozark big-eared bats (<i>Corynorhinus townsendii ingens</i>)","interactions":[],"lastModifiedDate":"2016-12-14T12:20:17","indexId":"70154907","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Population connectivity of endangered Ozark big-eared bats (<i>Corynorhinus townsendii ingens</i>)","docAbstract":"<p><span>The endangered Ozark big-eared bat (</span><i>Corynorhinus townsendii ingens</i><span>) is restricted to eastern Oklahoma and western and north-central Arkansas, where populations may be susceptible to losses of genetic variation due to patchy distribution of colonies and potentially small effective population sizes. We used mitochondrial D-loop DNA sequences and 15 nuclear microsatellite loci to determine population connectivity among Ozark big-eared bat caves. Assessment of 7 caves revealed a haplotype not detected in a previous study (2002&ndash;2003) and gene flow among colonies in eastern Oklahoma. Our data suggest genetic mixing of individuals, which may be occurring at nearby swarming sites in the autumn. Further evidence of limited gene flow between caves in Oklahoma with a cave in Arkansas highlights the importance of including samples from geographically widespread caves to fully understand gene flow in this subspecies. It appears autumn swarming sites and winter hibernacula play an important role in providing opportunities for mating; therefore, we suggest protection of these sites, maternity caves, and surrounding habitat to facilitate gene flow among populations of Ozark big-eared bats.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyv057","usgsCitation":"Lee, D.N., Stark, R.C., Puckette, W.L., Hamilton, M.J., Leslie, D., and Van Den Bussche, R.A., 2015, Population connectivity of endangered Ozark big-eared bats (<i>Corynorhinus townsendii ingens</i>): Journal of Mammalogy, v. 96, no. 3, p. 522-530, https://doi.org/10.1093/jmammal/gyv057.","productDescription":"9 p.","startPage":"522","endPage":"530","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051288","costCenters":[{"id":198,"text":"Coop Res Unit 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 \"}}]}","volume":"96","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-13","publicationStatus":"PW","scienceBaseUri":"55d305b8e4b0518e35468d15","contributors":{"authors":[{"text":"Lee, Dana N.","contributorId":146561,"corporation":false,"usgs":false,"family":"Lee","given":"Dana","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":568268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stark, Richard C.","contributorId":28425,"corporation":false,"usgs":true,"family":"Stark","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":568269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puckette, William L.","contributorId":103058,"corporation":false,"usgs":true,"family":"Puckette","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":568270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, Meredith J.","contributorId":145766,"corporation":false,"usgs":false,"family":"Hamilton","given":"Meredith","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":568271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leslie, David M. Jr. cleslie@usgs.gov","contributorId":145497,"corporation":false,"usgs":true,"family":"Leslie","given":"David M.","suffix":"Jr.","email":"cleslie@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Den Bussche, Ronald A.","contributorId":41121,"corporation":false,"usgs":true,"family":"Van Den Bussche","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":568272,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187294,"text":"70187294 - 2015 - Geolocators on Golden-winged Warblers do not affect migratory ecology","interactions":[],"lastModifiedDate":"2017-04-27T15:39:25","indexId":"70187294","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Geolocators on Golden-winged Warblers do not affect migratory ecology","docAbstract":"<p><span>The use of light-level geolocators is increasingly common for connecting breeding and nonbreeding sites and identifying migration routes in birds. Until recently, the mass and size of geolocators precluded their use on songbird species weighing &lt;12 g. Reducing the mass of geolocators, such as by shortening or eliminating the light stalk, may make their deployment on small birds feasible, but may also inhibit their ability to receive light reliably, because small geolocators can be shaded by feathers. Here we report geolocator effects on migratory ecology of Golden-winged Warblers (</span><i><i>Vermivora chrysoptera</i></i><span>) in Minnesota and Tennessee. We also evaluated whether stalk length influenced precision of location data for birds on the breeding grounds. At 8–10 g, Golden-winged Warblers are the smallest birds to be outfitted with geolocators to date. We found no differences in return rates, inter-annual territory fidelity, or body mass between geolocator-marked individuals and a control group of color-banded individuals. We observed no difference in return rates or variation in estimated breeding locations between birds marked with stalked geolocators and those with stalkless geolocators. Our results suggest that some small songbirds can be safely marked with geolocators. Light stalks appear to be unnecessary for Golden-winged Warblers; the added mass and drag of stalks can probably be eliminated on other small songbirds.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-14-200.1","usgsCitation":"Peterson, S.M., Streby, H.M., Kramer, G.R., Lehman, J.A., Buehler, D.A., and Andersen, D., 2015, Geolocators on Golden-winged Warblers do not affect migratory ecology: The Condor, v. 117, no. 2, p. 256-261, https://doi.org/10.1650/CONDOR-14-200.1.","productDescription":"6 p.","startPage":"256","endPage":"261","ipdsId":"IP-060944","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-14-200.1","text":"Publisher Index Page"},{"id":340539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f743","contributors":{"authors":[{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":693274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":693275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kramer, Gunnar R.","contributorId":94184,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar","email":"","middleInitial":"R.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":693276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":693277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buehler, David A.","contributorId":169746,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":693278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191815,"text":"70191815 - 2015 - Life-stage-specific physiology defines invasion extent of a riverine fish","interactions":[],"lastModifiedDate":"2017-10-18T10:54:22","indexId":"70191815","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Life-stage-specific physiology defines invasion extent of a riverine fish","docAbstract":"<ol id=\"jane12332-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Many ecologists have called for mechanism-based investigations to identify the underlying controls on species distributions. Understanding these controls can be especially useful to construct robust predictions of how a species range may change in response to climate change or the extent to which a non-native species may spread in novel environments.</li><li>Here, we link spatially intensive observations with mechanistic models to illustrate how physiology determines the upstream extent of the aquatic ectotherm smallmouth bass (<i>Micropterus dolomieu</i>) in two headwater rivers.</li><li>Our results demonstrate that as temperatures become increasingly cold across a downstream to upstream gradient, food consumption in age 0 bass becomes increasingly constrained, and as a result, these fish become growth limited. Sufficient first summer growth of age 0 bass is essential for overwinter survival because young bass must persist from energy reserves accumulated during the summer, and those reserves are determined by body size.</li><li>Our field data reveal the upstream extent of adult bass reproduction corresponds to a point in the downstream/upstream gradient where cold temperatures impair growth opportunities in young bass. This pattern was repeated in both study streams and explained why bass positioned nests twice as far upstream in the warm compared to the cold stream in the same basin. Placement of spawning nests by adult bass is likely subject to strong evolutionary selection in temperate systems: if bass spawn too far upstream, their young are unlikely to grow large enough to survive the winter. Consumption and growth in older bass (age 3–4) was far less sensitive to temperature. Based on these data, we suggest that temperature-sensitive age 0 bass constrain the upstream distribution limits of bass within temperate streams.</li><li>In this study, we investigated how temperature-dependent physiology changed through the life history of a species and, in doing so, identified a climate-sensitive life-history stage that likely sets the distributional limits of all other life-history stages. We anticipate the framework developed here could be employed to identify how similar stage-specific environmental sensitivity determines distribution in many other ectothermic species.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12332","usgsCitation":"Lawrence, D.J., Beauchamp, D.A., and Olden, J., 2015, Life-stage-specific physiology defines invasion extent of a riverine fish: Journal of Animal Ecology, v. 84, no. 3, p. 879-888, https://doi.org/10.1111/1365-2656.12332.","productDescription":"9 p.","startPage":"879","endPage":"888","ipdsId":"IP-058065","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472116,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12332","text":"Publisher Index Page"},{"id":346834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"North Fork John Day River, Middle Fork John Day River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.3,\n              44.67\n            ],\n            [\n              -118.5,\n              44.67\n            ],\n            [\n              -118.5,\n              45.1\n            ],\n            [\n              -119.3,\n              45.1\n            ],\n            [\n              -119.3,\n              44.67\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-06","publicationStatus":"PW","scienceBaseUri":"59e8683ce4b05fe04cd4d238","contributors":{"authors":[{"text":"Lawrence, David J.","contributorId":34374,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713268,"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":713220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":713269,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187761,"text":"70187761 - 2015 - Using Landsat imagery to detect, monitor, and project net landscape change ","interactions":[],"lastModifiedDate":"2018-03-08T12:52:24","indexId":"70187761","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":696,"text":"All Bird Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Using Landsat imagery to detect, monitor, and project net landscape change ","docAbstract":"<p>Detailed landscape information is a necessary component to bird habitat conservation planning. The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has been providing information on the Earth’s surface for over 40 years via the continuous series of Landsat satellites. In addition to operating, processing, and disseminating satellite images, EROS is the home to nationwide and global landscape mapping, monitoring, and projection products, including:</p><ul><li>National Land Cover Database (NLCD) – the definitive land cover dataset for the U.S., with updates occurring at five-year intervals;<br></li><li>Global Land Cover Monitoring – producing 30m resolution global land cover;<br></li><li>LANDFIRE – Landscape Fire and Resource Management Planning Tools–EROS is a partner in this joint program between U.S. Department of Agriculture and Department of Interior that produces consistent, comprehensive, geospatial data and databases that describe vegetation, wildland fuel, and fire regimes across the U.S.;<br></li><li>Land Cover Trends – a landscape monitoring and assessment effort to understand the rates, trends, causes, and consequences of contemporary U.S. land use and land cover change; and<br></li><li>Land Use and Land Cover (LULC) Modeling – a project extending contemporary databases of landscape change forward and backward in time through moderate-resolution land cover projections.<br></li></ul>","language":"English","publisher":"NABCI","usgsCitation":"Reker, R.R., Sohl, T.L., and Gallant, A.L., 2015, Using Landsat imagery to detect, monitor, and project net landscape change : All Bird Bulletin, v. Spring 2015, p. 13-17.","productDescription":"5 p.","startPage":"13","endPage":"17","ipdsId":"IP-063721","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341432,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://nabci-us.org/committee/all-bird-bulletin/"}],"volume":"Spring 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593e26d8e4b0764e6c61b760","contributors":{"authors":[{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159354,"text":"70159354 - 2015 - Groundwater movement, recharge, and perchlorate occurrence in a faulted alluvial aquifer in California (USA)","interactions":[],"lastModifiedDate":"2025-01-29T15:41:21.049913","indexId":"70159354","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater movement, recharge, and perchlorate occurrence in a faulted alluvial aquifer in California (USA)","docAbstract":"<p>Perchlorate from military, industrial, and legacy agricultural sources is present within an alluvial aquifer in the Rialto-Colton groundwater subbasin, 80 km east of Los Angeles, California (USA). The area is extensively faulted, with water-level differences exceeding 60 m across parts of the Rialto-Colton Fault separating the Rialto-Colton and Chino groundwater subbasins. Coupled well-bore flow and depth-dependent water-quality data show decreases in well yield and changes in water chemistry and isotopic composition, reflecting changing aquifer properties and groundwater recharge sources with depth. Perchlorate movement through some wells under unpumped conditions from shallower to deeper layers underlying mapped plumes was as high as 13 kg/year. Water-level maps suggest potential groundwater movement across the Rialto-Colton Fault through an overlying perched aquifer. Upward flow through a well in the Chino subbasin near the Rialto-Colton Fault suggests potential groundwater movement across the fault through permeable layers within partly consolidated deposits at depth. Although potentially important locally, movement of groundwater from the Rialto-Colton subbasin has not resulted in widespread occurrence of perchlorate within the Chino subbasin. Nitrate and perchlorate concentrations at the water table, associated with legacy agricultural fertilizer use, may be underestimated by data from long-screened wells that mix water from different depths within the aquifer.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-014-1217-y","usgsCitation":"Izbicki, J.A., Teague, N.F., Hatzinger, P.B., Bohlke, J.K., and Sturchio, N.C., 2015, Groundwater movement, recharge, and perchlorate occurrence in a faulted alluvial aquifer in California (USA): Hydrogeology Journal, v. 23, no. 3, p. 467-491, https://doi.org/10.1007/s10040-014-1217-y.","productDescription":"25 p.","startPage":"467","endPage":"491","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043911","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":310773,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385546,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70159354/Izbicki_May2015_article_HydrogeologyJournal_v23_p467-491.pdf","text":"USGS open-access version of article","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":385547,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ja/70159354/ESM_Izbicki_May2015_article_HydrogeologyJournal_v23_p467-491.pdf","text":"USGS open-access version of supplemental material","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Chino subbasin, Rialto-colton subbasin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.50701904296875,\n              34.35477416538757\n            ],\n            [\n              -117.98217773437499,\n              34.687427949314845\n            ],\n            [\n              -118.0975341796875,\n              34.472599425831355\n            ],\n            [\n              -117.9766845703125,\n              34.03900467904445\n            ],\n            [\n              -117.11700439453125,\n              33.715201644740844\n            ],\n            [\n              -117.10052490234375,\n              33.84532650276791\n            ],\n            [\n              -117.50701904296875,\n              34.35477416538757\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-16","publicationStatus":"PW","scienceBaseUri":"5633433ce4b048076347eec9","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":149374,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":578174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":578177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":578175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":578176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155514,"text":"70155514 - 2015 - Introduction to special section: China shale gas and shale oil plays","interactions":[],"lastModifiedDate":"2019-12-11T09:25:42","indexId":"70155514","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to special section: China shale gas and shale oil plays","docAbstract":"<p class=\"first\">In the last 10 years, the success of shale gas and shale oil productions as a result of technological advances in horizontal drilling, hydraulic fracturing and nanoscale reservoir characterization have revolutionized the energy landscape in the United States. Resource assessment by the China Ministry of Land and Resources in 2010 and 2012 and by the U.S. Energy Information Administration in 2011 and 2013 indicates China&rsquo;s shale gas resource is the largest in the world and shale oil resource in China is also potentially significant. Inspired by the success in the United States, China looks forward to replicating the U.S. experience to produce shale gas to power its economy and reduce greenhouse gas emissions. By 2014, China had drilled 400 wells targeting marine, lacustrine, and coastal swamp transitional shales spanning in age from the Precambrian to Cenozoic in the last five years. So far, China is the leading country outside of North America in the viable production of shale gas, with very promising prospects for shale gas and shale oil development, from the Lower Silurian Longmaxi marine shale in Fuling in the southeastern Sichuan Basin. Geological investigations by government and academic institutions as well as exploration and production activities from industry indicate that the tectonic framework, depositional settings, and geomechanical properties of most of the Chinese shales are more complex than many of the producing marine shales in the United States. These differences limit the applicability of geologic analogues from North America for use in Chinese shale oil and gas resource assessments, exploration strategies, reservoir characterization, and determination of optimal hydraulic fracturing techniques. Understanding the unique features of the geology, shale oil and gas resource potential, and reservoir characteristics is crucial for sweet spot identification, hydraulic fracturing optimization, and reservoir performance prediction.</p>\n<p>Even though China shale gas and shale oil exploration is still in an early stage, limited data are already available. We are pleased to have selected eight high-quality papers from fifteen submitted manuscripts for this timely section on the topic of China shale gas and shale oil plays. These selected papers discuss various subject areas including regional geology, resource potentials, integrated and multidisciplinary characterization of China shale reservoirs (geology, geophysics, geochemistry, and petrophysics) China shale property measurement using new techniques, case studies for marine, lacustrine, and transitional shale deposits in China, and hydraulic fracturing. One paper summarizes the regional geology and different tectonic and depositional settings of the major prospective shale oil and gas plays in China. Four papers concentrate on the geology, geochemistry, reservoir characterization, lithologic heterogeneity, and sweet spot identification in the Silurian Longmaxi marine shale in the Sichuan Basin in southwest China, which is currently the primary focus of shale gas exploration in China. One paper discusses the Ordovician Salgan Shale in the Tarim Basin in northwest China, and two papers focus on the reservoir characterization and hydraulic fracturing of Triassic lacustrine shale in the Ordos Basin in northern China. Each paper discusses a specific area.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/INT2015-0317-SPSEINTRO.1","usgsCitation":"Jiang, S., Zeng, H., Zhang, J., Fishman, N., Bai, B., Xiao, X., Zhang, T., Ellis, G.S., Li, X., Richards-McClung, B., Cai, D., and Ma, Y., 2015, Introduction to special section: China shale gas and shale oil plays: Interpretation, v. 3, no. 2, p. SJi-SJii, https://doi.org/10.1190/INT2015-0317-SPSEINTRO.1.","productDescription":"2 p.","startPage":"SJi","endPage":"SJii","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064545","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":306877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              71.015625,\n              35.460669951495305\n            ],\n            [\n              100.8984375,\n              20.96143961409684\n            ],\n            [\n              115.6640625,\n              18.312810846425442\n            ],\n            [\n              123.3984375,\n              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Xianming","contributorId":145908,"corporation":false,"usgs":false,"family":"Xiao","given":"Xianming","email":"","affiliations":[{"id":16292,"text":"Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China","active":true,"usgs":false}],"preferred":false,"id":565641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Tongwei","contributorId":145909,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","email":"","affiliations":[{"id":16288,"text":"Bureau of Economic Geology, University of Texas, Austin, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":565642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":565635,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Xinjing","contributorId":145910,"corporation":false,"usgs":false,"family":"Li","given":"Xinjing","email":"","affiliations":[{"id":16293,"text":"Research Institute of Petroleum Exploration & Development, PetroChina, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":565643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Richards-McClung, Bryony","contributorId":145911,"corporation":false,"usgs":false,"family":"Richards-McClung","given":"Bryony","email":"","affiliations":[{"id":16287,"text":"Energy & Geoscience Institute, University of Utah, Salt Lake City, Utah, USA","active":true,"usgs":false}],"preferred":false,"id":565644,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cai, Dongsheng","contributorId":145912,"corporation":false,"usgs":false,"family":"Cai","given":"Dongsheng","email":"","affiliations":[{"id":16294,"text":"China National Offshore Oil Company, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":565645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ma, Yongsheng","contributorId":145913,"corporation":false,"usgs":false,"family":"Ma","given":"Yongsheng","email":"","affiliations":[{"id":16295,"text":"Sinopec, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":565646,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70173554,"text":"70173554 - 2015 - Evaluation of angler reporting accuracy in an off-site survey to estimate statewide steelhead harvest","interactions":[],"lastModifiedDate":"2016-06-13T16:04:10","indexId":"70173554","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of angler reporting accuracy in an off-site survey to estimate statewide steelhead harvest","docAbstract":"<p><span>Accuracy of angler-reported data on steelhead,&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;(Walbaum), harvest in Idaho, USA, was quantified by comparing data recorded on angler harvest permits to the numbers that the same group of anglers reported in an off-site survey. Anglers could respond to the off-site survey using mail or Internet; if they did not respond using these methods, they were called on the telephone. A majority of anglers responded through the mail, and the probability of responding by Internet decreased with increasing age of the respondent. The actual number of steelhead harvested did not appear to influence the response type. Anglers in the autumn 2012 survey overreported harvest by 24%, whereas anglers in the spring 2013 survey under-reported steelhead harvest by 16%. The direction of reporting bias may have been a function of actual harvest, where anglers harvested on average 2.6 times more fish during the spring fishery than the autumn. Reporting bias that is a function of actual harvest can have substantial management and conservation implications because the fishery will be perceived to be performing better at lower harvest rates and worse when harvest rates are higher. Thus, these findings warrant consideration when designing surveys and evaluating management actions.</span></p>","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/fme.12109","usgsCitation":"McCormick, J.L., Whitney, D., Schill, D.J., and Quist, M.C., 2015, Evaluation of angler reporting accuracy in an off-site survey to estimate statewide steelhead harvest: Fisheries Management and Ecology, v. 22, no. 2, p. 134-142, https://doi.org/10.1111/fme.12109.","productDescription":"9 p.","startPage":"134","endPage":"142","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054057","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-15","publicationStatus":"PW","scienceBaseUri":"575fd92ce4b04f417c2baa14","contributors":{"authors":[{"text":"McCormick, J. L.","contributorId":171779,"corporation":false,"usgs":false,"family":"McCormick","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitney, D.","contributorId":171780,"corporation":false,"usgs":false,"family":"Whitney","given":"D.","email":"","affiliations":[],"preferred":false,"id":638621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schill, D. J.","contributorId":171781,"corporation":false,"usgs":false,"family":"Schill","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637293,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178933,"text":"70178933 - 2015 - Hydrogeologic framework of the Santa Clara Valley, California","interactions":[],"lastModifiedDate":"2016-12-13T11:57:42","indexId":"70178933","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeologic framework of the Santa Clara Valley, California","docAbstract":"<p id=\"p-1\">The hydrologic framework of the Santa Clara Valley in northern California was redefined on the basis of new data and a new hydrologic model. The regional groundwater flow systems can be subdivided into upper-aquifer and lower-aquifer systems that form a convergent flow system within a basin bounded by mountains and hills on three sides and discharge to pumping wells and the southern San Francisco Bay. Faults also control the flow of groundwater within the Santa Clara Valley and subdivide the aquifer system into three subregions.</p><p id=\"p-2\">After decades of development and groundwater depletion that resulted in substantial land subsidence, Santa Clara Valley Water District (SCVWD) and the local water purveyors have refilled the basin through conservation and importation of water for direct use and artificial recharge. The natural flow system has been altered by extensive development with flow paths toward major well fields. Climate has not only affected the cycles of sedimentation during the glacial periods over the past million years, but interannual to interdecadal climate cycles also have affected the supply and demand components of the natural and anthropogenic inflows and outflows of water in the valley. Streamflow has been affected by development of the aquifer system and regulated flow from reservoirs, as well as conjunctive use of groundwater and surface water. Interaquifer flow through water-supply wells screened across multiple aquifers is an important component to the flow of groundwater and recapture of artificial recharge in the Santa Clara Valley. Wellbore flow and depth-dependent chemical and isotopic data indicate that flow into wells from multiple aquifers, as well as capture of artificial recharge by pumping of water-supply wells, predominantly is occurring in the upper 500 ft (152 m) of the aquifer system. Artificial recharge represents about one-half of the inflow of water into the valley for the period 1970–1999. Most subsidence is occurring below 250 ft (76 m), and most pumpage occurs within the upper-aquifer system between 300 and 650 ft (between 91 and 198 m) below land surface.</p><p id=\"p-3\">Overall, the natural quality of most groundwater in the Santa Clara Valley is good. Isotopic data indicate that artificial recharge is occurring throughout the shallower parts of the upper-aquifer system and that recent recharge (less than 50 yr old) occurs throughout most of the basin in the upper-aquifer system, but many of the wells in the center of the basin with deeper well screens do not contain tritium and recent recharge. Age dates indicate that the groundwater in the upper-aquifer system generally is less than 2000 yr old, and groundwater in the lower-aquifer system generally ranges from 16,700 to 39,900 yr old. Depth-dependent sampling indicates that wellbores are the main path for vertical flow between aquifer layers. Isotopic data indicate as much as 60% of water pumped from production wells originated as artificial recharge. Shallow aquifers not only contain more recent recharge but may be more susceptible to anthropogenic and natural contamination, as evidenced by trace occurrences of iron, nitrate, and volatile organic compounds (VOCs) in selected water-supply wells.</p><p id=\"p-4\">Water-resource management issues are centered on sustaining a reliable and good-quality source of water to the residents and industries of the valley. While the basin has been refilled, increased demand owing to growth and droughts could result in renewed storage depletion and the related potential adverse effects of land subsidence and seawater intrusion. The new hydrologic model demonstrates the importance of the aquifer layering, faults, and stream channels in relation to groundwater flow and infiltration of recharge. This model provides a means to analyze water resource issues because it separates the supply and demand components of the inflows and outflows.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01104.1","usgsCitation":"Hanson, R.T., 2015, Hydrogeologic framework of the Santa Clara Valley, California: Geosphere, v. 11, no. 3, p. 606-637, https://doi.org/10.1130/GES01104.1.","productDescription":"32 p.","startPage":"606","endPage":"637","ipdsId":"IP-002253","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01104.1","text":"Publisher Index Page"},{"id":332030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","volume":"11","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585116bce4b08138bf1abd5a","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655589,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192717,"text":"70192717 - 2015 - Crowdsourcing The National Map","interactions":[],"lastModifiedDate":"2017-11-17T11:21:14","indexId":"70192717","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Crowdsourcing The National Map","docAbstract":"<p><span>Using crowdsourcing techniques, the US Geological Survey’s (USGS) Volunteered Geographic Information (VGI) project known as “The National Map Corps (TNMCorps)” encourages citizen scientists to collect and edit data about man-made structures in an effort to provide accurate and authoritative map data for the USGS National Geospatial Program’s web-based The National Map. VGI is not new to the USGS, but past efforts have been hampered by available technologies. Building on lessons learned, TNMCorps volunteers are successfully editing 10 different structure types in all 50 states as well as Puerto Rico and the US Virgin Islands.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230406.2015.1059187","usgsCitation":"McCartney, E., Craun, K.J., Korris, E.M., Brostuen, D.A., and Moore, L.R., 2015, Crowdsourcing The National Map: Cartography and Geographic Information Science, v. 42, no. sup1, p. 54-57, https://doi.org/10.1080/15230406.2015.1059187.","productDescription":"4 p.","startPage":"54","endPage":"57","ipdsId":"IP-061470","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":349061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"sup1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-20","publicationStatus":"PW","scienceBaseUri":"5a60fe9de4b06e28e9c2531f","contributors":{"authors":[{"text":"McCartney, Elizabeth 0000-0001-9179-7622 emccartney@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-7622","contributorId":4904,"corporation":false,"usgs":true,"family":"McCartney","given":"Elizabeth","email":"emccartney@usgs.gov","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":716764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craun, Kari J. 0000-0001-7875-2809 kcraun@usgs.gov","orcid":"https://orcid.org/0000-0001-7875-2809","contributorId":3526,"corporation":false,"usgs":true,"family":"Craun","given":"Kari","email":"kcraun@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":716765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korris, Erin M. 0000-0002-1254-9696 ekorris@usgs.gov","orcid":"https://orcid.org/0000-0002-1254-9696","contributorId":4923,"corporation":false,"usgs":true,"family":"Korris","given":"Erin","email":"ekorris@usgs.gov","middleInitial":"M.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":716766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brostuen, David A. 0000-0003-2889-3712 dabrostuen@usgs.gov","orcid":"https://orcid.org/0000-0003-2889-3712","contributorId":3922,"corporation":false,"usgs":true,"family":"Brostuen","given":"David","email":"dabrostuen@usgs.gov","middleInitial":"A.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":716767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Laurence R. 0000-0001-9678-7183 lmoore@usgs.gov","orcid":"https://orcid.org/0000-0001-9678-7183","contributorId":2057,"corporation":false,"usgs":true,"family":"Moore","given":"Laurence","email":"lmoore@usgs.gov","middleInitial":"R.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":716768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157207,"text":"70157207 - 2015 - Towards a global terrestrial species monitoring program","interactions":[],"lastModifiedDate":"2015-09-14T12:47:07","indexId":"70157207","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2142,"text":"Journal for Nature Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Towards a global terrestrial species monitoring program","docAbstract":"<p>Introduction: The Convention for Biological Diversity&rsquo;s (CBD) Strategic Plan for Biodiversity 2011-2020 envisions that &ldquo;By 2050, biodiversity is valued, conserved, restored and wisely used, maintaining ecosystem services, sustaining a healthy planet and delivering benefits essential for all people.&rdquo; Although 193 parties have adopted these goals, there is little infrastructure in place to monitor global biodiversity trends. Recent international conservation policy requires such data to be up-to-date, reliable, comparable among sites, relevant, and understandable; as is becoming obvious from the work plan adopted by the Intergovernmental Panel for Biodiversity and Ecosystem Services (IPBES: www.ipbes.net/; http://tinyurl.com/ohdnknq). In order to meet the five strategic goals of the Strategic Plan for Biodiversity 2011-2020 and its 20 accompanying Aichi Targets for 2020 (www.cbd.int/sp/targets/), advances need to be made in coordinating large-scale biodiversity monitoring and linking these with environmental data to develop a comprehensive Global Observation Network, as is the main idea behind GEOSS the Global Earth Observation System of Systems (Christian 2005)...Here we identify ten requirements important for the successful implementation of a global biodiversity monitoring network under the flag of GEO BON and especially a global terrestrial species monitoring program.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jnc.2015.03.003","usgsCitation":"Schmeller, D.S., Julliard, R., Bellingham, P.J., Böhm, M., Brummitt, N., Chiarucci, A., Couvet, D., Elmendorf, S., Forsyth, D.M., Moreno, J.G., Gregory, R., Magnusson, W.E., Martin, L.J., McGeoch, M.A., Mihoub, J., Pereira, H.M., Proença, V., van Swaay, C., Yahara, T., and Belnap, J., 2015, Towards a global terrestrial species monitoring program: Journal for Nature Conservation, v. 25, p. 51-57, https://doi.org/10.1016/j.jnc.2015.03.003.","productDescription":"7 p.","startPage":"51","endPage":"57","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058289","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":308105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308102,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S1617138115000278"}],"volume":"25","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f7efcce4b05d6c4e4fa9a6","contributors":{"authors":[{"text":"Schmeller, Dirk S.","contributorId":147645,"corporation":false,"usgs":false,"family":"Schmeller","given":"Dirk","email":"","middleInitial":"S.","affiliations":[{"id":16875,"text":"(1)Dept of Conservation Biology, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany;","active":true,"usgs":false}],"preferred":false,"id":572246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Julliard, Romain","contributorId":147647,"corporation":false,"usgs":false,"family":"Julliard","given":"Romain","email":"","affiliations":[{"id":16877,"text":"Museum national Histoire Naturelle, Université Pierre-et-Marie Curie, CNRS, Cesco cp 51, 55 rue buffon 75005 Paris","active":true,"usgs":false}],"preferred":false,"id":572248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellingham, Peter J.","contributorId":147658,"corporation":false,"usgs":false,"family":"Bellingham","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":16887,"text":"Landcare Research, PO Box 69040, Lincoln 7640, New Zealand","active":true,"usgs":false}],"preferred":false,"id":572261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Böhm, Monika","contributorId":11095,"corporation":false,"usgs":true,"family":"Böhm","given":"Monika","affiliations":[],"preferred":false,"id":572249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brummitt, Neil","contributorId":147648,"corporation":false,"usgs":false,"family":"Brummitt","given":"Neil","email":"","affiliations":[{"id":16878,"text":"Department of Life Sciences, The Natural History Museum, Cromwell Road, South Kensington, London SW7 5BD, UK","active":true,"usgs":false}],"preferred":false,"id":572250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiarucci, Alessandro","contributorId":147649,"corporation":false,"usgs":false,"family":"Chiarucci","given":"Alessandro","email":"","affiliations":[{"id":16879,"text":"BIOCONNET, BIOdiversity and CONservation NETwork, Department of Life Science, University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy","active":true,"usgs":false}],"preferred":false,"id":572251,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Couvet, Denis","contributorId":147650,"corporation":false,"usgs":false,"family":"Couvet","given":"Denis","email":"","affiliations":[{"id":16877,"text":"Museum national Histoire Naturelle, Université Pierre-et-Marie Curie, CNRS, Cesco cp 51, 55 rue buffon 75005 Paris","active":true,"usgs":false}],"preferred":false,"id":572252,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elmendorf, Sarah","contributorId":147651,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":572253,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Forsyth, David M.","contributorId":147652,"corporation":false,"usgs":false,"family":"Forsyth","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16881,"text":"Department of Zoology, University of Melbourne, Victoria 3000, Australia","active":true,"usgs":false}],"preferred":false,"id":572254,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moreno, Jaime Garcia","contributorId":147655,"corporation":false,"usgs":false,"family":"Moreno","given":"Jaime","email":"","middleInitial":"Garcia","affiliations":[{"id":16884,"text":"Het Haam 16, 6846 KW Arnhem, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":572258,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gregory, Richard D.","contributorId":96161,"corporation":false,"usgs":true,"family":"Gregory","given":"Richard D.","affiliations":[],"preferred":false,"id":572255,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Magnusson, William E.","contributorId":147653,"corporation":false,"usgs":false,"family":"Magnusson","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":16882,"text":"Instituto Nacional de Pesquisas da Amazônia, Caixa Postal 2223, 69080-971 Manaus AM, Brazil","active":true,"usgs":false}],"preferred":false,"id":572256,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Martin, Laura J.","contributorId":147654,"corporation":false,"usgs":false,"family":"Martin","given":"Laura","email":"","middleInitial":"J.","affiliations":[{"id":16883,"text":"Department of Natural Resources, Cornell University, Ithaca, NY, 14853, USA","active":true,"usgs":false}],"preferred":false,"id":572257,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McGeoch, Melodie A.","contributorId":85047,"corporation":false,"usgs":true,"family":"McGeoch","given":"Melodie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572262,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mihoub, Jean-Baptiste","contributorId":147646,"corporation":false,"usgs":false,"family":"Mihoub","given":"Jean-Baptiste","affiliations":[{"id":16876,"text":"Department of Conservation Biology, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":572247,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pereira, Henrique M.","contributorId":147659,"corporation":false,"usgs":false,"family":"Pereira","given":"Henrique","email":"","middleInitial":"M.","affiliations":[{"id":16888,"text":"(1) German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany; (2) Institute of Biology, Martin Luther University Halle Wittenberg, Am Kirchtor 1, 06108 Halle (Saale), Germany","active":true,"usgs":false}],"preferred":false,"id":572263,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Proença, Vânia","contributorId":147656,"corporation":false,"usgs":false,"family":"Proença","given":"Vânia","affiliations":[{"id":16885,"text":"Center for Innovation, Technology and Policy Research, ACAE-DEM, Instituto Superior Técnico, University of Lisbon, Avenida Rovisco Pais, 1, 1049-001 Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":572259,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"van Swaay, Chris","contributorId":147657,"corporation":false,"usgs":false,"family":"van Swaay","given":"Chris","email":"","affiliations":[{"id":16886,"text":"Dutch Butterfly Conservation and Butterfly Conservation Europe, P.O. Box 506, NL 6700 AM Wageningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":572260,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Yahara, Tetsukazu","contributorId":147660,"corporation":false,"usgs":false,"family":"Yahara","given":"Tetsukazu","email":"","affiliations":[{"id":16889,"text":"Department of Biology, Kyushu University, 6-10-1 Hakizaki, Fukuoka 812-8581, Japan","active":true,"usgs":false}],"preferred":false,"id":572264,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572245,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70143907,"text":"fs20153029 - 2015 - The 3D Elevation Program: summary for South Carolina","interactions":[],"lastModifiedDate":"2016-08-17T15:01:20","indexId":"fs20153029","displayToPublicDate":"2015-04-30T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3029","title":"The 3D Elevation Program: summary for South Carolina","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of South Carolina, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, forest resources management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153029","usgsCitation":"Carswell, W., 2015, The 3D Elevation Program: summary for South Carolina: U.S. Geological Survey Fact Sheet 2015-3029, 2 p., https://doi.org/10.3133/fs20153029.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059996","costCenters":[{"id":423,"text":"National Geospatial 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,{"id":70159464,"text":"70159464 - 2015 - Geospatial association between adverse birth outcomes and arsenic in groundwater in New Hampshire, USA","interactions":[],"lastModifiedDate":"2019-12-11T16:05:08","indexId":"70159464","displayToPublicDate":"2015-04-30T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Geospatial association between adverse birth outcomes and arsenic in groundwater in New Hampshire, USA","docAbstract":"<p><span>There is increasing evidence of the role of arsenic in the etiology of adverse human reproductive outcomes. Because drinking water can be a major source of arsenic to pregnant women, the effect of arsenic exposure through drinking water on human birth may be revealed by a geospatial association between arsenic concentration in groundwater and birth problems, particularly in a region where private wells substantially account for water supply, like New Hampshire, USA. We calculated town-level rates of preterm birth and term low birth weight (term LBW) for New Hampshire, by&nbsp;using data for 1997&ndash;2009 stratified by maternal age. We smoothed the rates by&nbsp;using a locally weighted averaging method to increase the statistical stability. The town-level groundwater arsenic probability&nbsp;values are from three GIS data layers generated by the US Geological Survey: probability of local groundwater arsenic concentration &gt;1&nbsp;&micro;g/L, probability &gt;5&nbsp;&micro;g/L, and probability &gt;10&nbsp;&micro;g/L. We calculated Pearson&rsquo;s correlation coefficients (</span><i class=\"EmphasisTypeItalic \">r</i><span>) between the reproductive outcomes (preterm birth and term LBW) and the arsenic probability&nbsp;values, at both state and county levels. For preterm birth, younger mothers (maternal age &lt;20) have a statewide</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;=&nbsp;0.70 between the rates smoothed with a threshold&nbsp;=&nbsp;2,000 births and the town mean arsenic level based on the data of probability &gt;10&nbsp;&micro;g/L; for older mothers,&nbsp;</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;=&nbsp;0.19 when the smoothing threshold&nbsp;=&nbsp;3,500; a majority of county level&nbsp;</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;values are positive based on the arsenic data of probability &gt;10&nbsp;&micro;g/L. For term LBW, younger mothers (maternal age &lt;25) have a statewide&nbsp;</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;=&nbsp;0.44 between the rates smoothed with a threshold&nbsp;=&nbsp;3,500 and town minimum arsenic concentration based on the data of probability &gt;1&nbsp;&micro;g/L; for older mothers,&nbsp;</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;=&nbsp;0.14 when the rates are smoothed with a threshold&nbsp;=&nbsp;1,000 births and also adjusted by town median household income in 1999, and the arsenic values are the town minimum based on probability &gt;10&nbsp;&micro;g/L. At the county level for younger mothers, positive&nbsp;</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;values prevail, but for older mothers, it is a mix. For both birth problems, the several most populous counties&mdash;with 60&ndash;80% of the state&rsquo;s population and clustering at the southwest corner of the state&mdash;are largely consistent in having a positive&nbsp;</span><i class=\"EmphasisTypeItalic \">r</i><span>&nbsp;across different smoothing thresholds. We found evident spatial associations between the two adverse human reproductive outcomes and groundwater arsenic in New Hampshire, USA. However, the degree of associations and their sensitivity to different representations of arsenic level are variable. Generally, preterm birth has a stronger spatial association with groundwater arsenic than term LBW, suggesting an inconsistency in the impact of arsenic on the two reproductive outcomes. For both outcomes, younger maternal age has stronger spatial associations with groundwater arsenic.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/s10653-014-9651-2","usgsCitation":"Shi, X., Ayotte, J.D., Onda, A., Miller, S., Rees, J., Gilbert-Diamond, D., Onega, T.L., Gui, J., Karagas, M.R., and Moeschler, J.B., 2015, Geospatial association between adverse birth outcomes and arsenic in groundwater in New Hampshire, USA: Environmental Geochemistry and Health, v. 37, no. 2, p. 333-351, https://doi.org/10.1007/s10653-014-9651-2.","productDescription":"19 p.","startPage":"333","endPage":"351","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045872","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":472124,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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,{"id":70146022,"text":"sim3324 - 2015 - Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the Inner Continental Borderland, southern California","interactions":[],"lastModifiedDate":"2019-06-03T13:25:33","indexId":"sim3324","displayToPublicDate":"2015-04-30T10:00:00","publicationYear":"2015","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":"3324","title":"Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the Inner Continental Borderland, southern California","docAbstract":"<p><span>In late 2013, Scripps Institution of Oceanography collected multibeam bathymetry and acoustic-backscatter data of the Inner Continental Borderland Region, Southern California. The U.S. Geological Survey Pacific Coastal and Marine Science Center processed these data, and this report provides the data in a number of different formats in addition to a set of map sheets. The data catalog provides the new bathymetry and acoustic-backscatter data, collected mainly in the Gulf of Santa Catalina and San Diego Trough, as well as this new bathymetry data merged with other publicly&nbsp;available bathymetry data from the region. Sheet 1 displays a colored shaded-relief bathymetry map of the Inner Continental Borderland generated from the merged bathymetry data. Sheet 2 displays the new acoustic-backscatter data along with other available backscatter data in the region. Sheet 3 displays selected perspective views of the bathymetry data highlighting submarine canyon and channel systems, knolls, and tectonic features.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3324","collaboration":"Prepared in cooperation with Scripps Institution of Oceanography","usgsCitation":"Dartnell, P., Driscoll, N.W., Brothers, D., Conrad, J.E., Kluesner, J., Kent, G., and Andrews, B., 2015, Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the Inner Continental Borderland, southern California: U.S. Geological Survey Scientific Investigations Map 3324, 3 Sheets: 29.74  x 34.17 inches or smaller; Data Catalog, https://doi.org/10.3133/sim3324.","productDescription":"3 Sheets: 29.74  x 34.17 inches or smaller; Data Catalog","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-058299","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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,{"id":70146272,"text":"ofr20151074 - 2015 - U.S. Geological Survey quality-assurance plan for surface-water activities in Kansas, 2015","interactions":[],"lastModifiedDate":"2015-05-04T09:24:56","indexId":"ofr20151074","displayToPublicDate":"2015-04-30T09:45:00","publicationYear":"2015","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":"2015-1074","title":"U.S. Geological Survey quality-assurance plan for surface-water activities in Kansas, 2015","docAbstract":"<p><span>This Surface Water Quality-Assurance Plan documents the standards, policies, and procedures used by the Kansas Water Science Center (KSWSC) of the U.S. Geological Survey (USGS) for activities related to the collection, processing, storage, analysis, and publication of surface-water data.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151074","usgsCitation":"Painter, C.C., and Loving, B.L., 2015, U.S. Geological Survey quality-assurance plan for surface-water activities in Kansas, 2015: U.S. Geological Survey Open-File Report 2015-1074, vii, 33 p., https://doi.org/10.3133/ofr20151074.","productDescription":"vii, 33 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2015-01-01","ipdsId":"IP-062879","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":299975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151074.jpg"},{"id":299974,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1074/pdf/ofr2015-1074.pdf","text":"Report","size":"420 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299969,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1074/"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.052001953125,\n              40.002371935876475\n            ],\n            [\n              -102.0465087890625,\n              36.98939086733937\n            ],\n            [\n              -94.61975097656249,\n              37.00255267215955\n            ],\n            [\n              -94.6087646484375,\n              39.11301365149975\n            ],\n            [\n              -94.5867919921875,\n              39.15988184949157\n            ],\n            [\n              -94.82574462890625,\n              39.232253141714885\n            ],\n            [\n              -94.888916015625,\n              39.39375459224348\n            ],\n            [\n              -95.11138916015624,\n              39.54005788576377\n            ],\n            [\n              -94.85733032226562,\n              39.75365697136308\n            ],\n            [\n              -94.93148803710936,\n              39.89393354266699\n            ],\n            [\n              -95.152587890625,\n              39.905522539728544\n            ],\n            [\n              -95.31463623046875,\n              40.002371935876475\n            ],\n            [\n              -102.052001953125,\n              40.002371935876475\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55434424e4b0a658d7941472","contributors":{"authors":[{"text":"Painter, Colin C. 0000-0002-9469-5987 cpainter@usgs.gov","orcid":"https://orcid.org/0000-0002-9469-5987","contributorId":5597,"corporation":false,"usgs":true,"family":"Painter","given":"Colin","email":"cpainter@usgs.gov","middleInitial":"C.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":545833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loving, Brian L. bloving@usgs.gov","contributorId":4565,"corporation":false,"usgs":true,"family":"Loving","given":"Brian","email":"bloving@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":545859,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147326,"text":"70147326 - 2015 - Home range, habitat use, and movement patterns of non-native Burmese pythons in Everglades National Park, Florida, USA","interactions":[],"lastModifiedDate":"2018-12-06T12:57:40","indexId":"70147326","displayToPublicDate":"2015-04-29T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Home range, habitat use, and movement patterns of non-native Burmese pythons in Everglades National Park, Florida, USA","docAbstract":"<p>Background</p>\n<p>Studies on the spatial ecology of invasive species provide critical information for conservation managers such as habitat preferences and identification of native species at risk of predation. To understand the spatial ecology of non-native Burmese pythons (<i>Python molurus bivittatus</i>), now well-established in Everglades National Park and much of South Florida USA, we radio-tracked 19 wild-caught adult pythons, 16 with VHF tags during 2006 through 2009 and 3 by GPS tags between 2010 and 2011. Our goal was to identify individual core-use areas and quantify home ranges, as well as to explore correlations of python movements with environmental parameters such as the presence of surface water.</p>\n<p>Results</p>\n<p>Radio-tracking periods ranged from 87 to 697&nbsp;days for snakes with VHF tags, with a total of 5,119 tracking days (mean&thinsp;&plusmn;&thinsp;1 SD&thinsp;=&thinsp;319.9&thinsp;&plusmn;&thinsp;184.3&nbsp;days); GPS tracking periods ranged from 12 to 93&nbsp;days, with a total of 146 tracking days (mean&thinsp;&plusmn;&thinsp;1 SD&thinsp;=&thinsp;48.7&thinsp;&plusmn;&thinsp;40.7&nbsp;days). We observed mean individual radio-tracked python home ranges of 22.5&nbsp;km<sup>2</sup><span class=\"Apple-converted-space\">&nbsp;</span>(2250&nbsp;ha) with overall low site fidelity; all home ranges were within the park boundary. Python core-use areas included slough and coastal habitat types, and we delineated 18 common-use areas (that is, areas where individual core-use areas spatially overlapped). Tree islands were a principal feature of common-use areas, even if they were not the predominant habitat type. Multiple common-use areas were in proximity to roads. The longest movements of individual pythons correlated well with presence of surface water, and occurred during both wet and dry seasons.</p>\n<p>Conclusions</p>\n<p>High-use areas determined from python habitat-use and movement data may be optimal locations for targeted control efforts and further studies on impacts to native fauna.</p>","language":"English","publisher":"BioMed Central Ltd.","doi":"10.1186/s40317-015-0022-2","usgsCitation":"Hart, K.M., Cherkiss, M.S., Smith, B.J., Mazzotti, F., Fujisaki, I., Snow, R.W., and Dorcas, M.E., 2015, Home range, habitat use, and movement patterns of non-native Burmese pythons in Everglades National Park, Florida, USA: Animal Biotelemetry, v. 3, no. 8, 13 p., https://doi.org/10.1186/s40317-015-0022-2.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040391","costCenters":[{"id":566,"text":"Southeast Ecological Science 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,{"id":70147153,"text":"sir20155020 - 2015 - Hexavalent and total chromium at low reporting concentrations in source-water aquifers and surface waters used for public supply in Illinois, 2013","interactions":[],"lastModifiedDate":"2015-04-28T10:40:57","indexId":"sir20155020","displayToPublicDate":"2015-04-28T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5020","title":"Hexavalent and total chromium at low reporting concentrations in source-water aquifers and surface waters used for public supply in Illinois, 2013","docAbstract":"<p>On the basis of their recent review of the human health effects of hexavalent chromium [Cr(VI)] in public drinking water, the U.S. Environmental Protection Agency is considering the need for Federal regulation of Cr(VI). Presently, only total chromium is regulated, at a Maximum Contaminant Level (MCL) of 100 micrograms per liter (&micro;g/L). The occurrence of Cr(VI) in groundwater and surface waters generally is attributed to industrial sources, but can be of natural origin. California&rsquo;s recently established MCL for Cr(VI) of 10 &micro;g/L illustrates the drinking-water concerns associated with Cr(VI). To improve understanding of the possible impact of a Cr(VI)-specific standard that approximates the California level on the management of Illinois&rsquo; public drinking water, the U.S. Geological Survey, in cooperation with the Illinois Environmental Protection Agency, assessed the occurrence and distribution of Cr(VI) in the State&rsquo;s public-water supplies.</p>\n<p>During 2013, untreated water samples were collected to be analyzed for Cr(VI) and total chromium [Cr(T)] at 119 water-supply wells and 32 surface-water intakes; also, 32 treated surface-water samples were collected near the point of treatment and 32 near the furthest point of distribution. Public-supply sample sites were selected by a stratified random method. Samples typically were analyzed within 24 hours of collection at reporting limits of 0.02 &micro;g/L for Cr(VI) and 0.1 &micro;g/L for Cr(T). The occurrence of Cr(VI) was compared with selected geophysical, physical, and sampling factors that might more fully explain its distribution and magnitude of concentrations.</p>\n<p>The maximum concentration of Cr(VI) in groundwater was 2.1 &micro;g/L. Maximum concentrations in untreated and treated surface water were 0.29 &micro;g/L and 2.4 &micro;g/L, respectively. All sample concentrations were below the California MCL; only 35 percent were below that State&rsquo;s non-enforceable public health goal of 0.02 of &micro;g/L. Cr(VI) was undetected in 43 percent of untreated groundwater samples, with a median of 0.06 &micro;g/L when detected. All but two (94 percent) of untreated surface-water samples had detections. In untreated surface water, the median concentration was 0.09 &micro;g/L, whereas in treated (tap and distributed) water the median was 0.20 &micro;g/L. Surface waters treated with lime for softening typically had the greatest Cr(VI) concentrations (maximum, 2.4 &micro;g/L; median, 1.2 &micro;g/L).</p>\n<p>The maximum concentration of Cr(T) in groundwater was 1.8 &micro;g/L. Maximum concentrations in untreated and treated surface water were 1.8 &micro;g/L and 2.5 &micro;g/L, respectively. All sample concentrations were below the Federal MCL. Total chromium was detected in 65 percent of untreated groundwater samples, with a median of 0.40 &micro;g/L, when detected. All but one (97 percent) of untreated surface-water samples had detections. In untreated surface water, the median concentration was 0.40 &micro;g/L, whereas in treated (tap and distributed) water the median was 0.30 &micro;g/L. As with Cr(VI), surface waters treated with lime typically had the greatest Cr(T) concentrations.</p>\n<p>Examination of factors that might account for or be associated with the occurrence of Cr(VI) in public-supply source waters found few clearly evident factors. Associations in frequencies of occurrence and range of concentrations indicate that surface waters and groundwaters of shallow, unconsolidated, unconfined aquifers, particularly alluvial aquifers, are possibly most commonly affected by anthropogenic sources of Cr(VI). Groundwaters of deep (greater than 500 feet) bedrock aquifers, particularly the Cambrian-Ordovician aquifer system, are possibly most commonly affected by geologic sources of Cr(VI). Additional study, with supporting geologic and geochemical data that were not collected in this study, would be necessary to verify these associations.</p>\n<p>There was a weak positive relation (&rho; = 0.23) between concentrations of Cr(VI) and Cr(T) in untreated water samples, with a much stronger positive relation (&rho; = 0.86 and &rho; = 0.90, respectively) in samples collected soon after treatment and near the endpoint of distribution. The stronger relation and greater similarity between Cr(VI) and Cr(T) concentrations in treated water samples indicate that Cr(VI) represents a greater proportion of the measured concentrations of Cr(T) in treated waters than in untreated waters. The analysis of spikes and other quality-assurance samples indicate uncertainties associated with obtaining or confirming consistently accurate analytical results for Cr(VI) at near the applied reporting limit of 0.02 &micro;g/L.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155020","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency","usgsCitation":"Mills, P., and Cobb, R.P., 2015, Hexavalent and total chromium at low reporting concentrations in source-water aquifers and surface waters used for public supply in Illinois, 2013: U.S. Geological Survey Scientific Investigations Report 2015-5020, vi, 72 p., https://doi.org/10.3133/sir20155020.","productDescription":"vi, 72 p.","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-046297","costCenters":[{"id":344,"text":"Illinois Water Science 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