{"pageNumber":"462","pageRowStart":"11525","pageSize":"25","recordCount":46644,"records":[{"id":70155012,"text":"ofr20151129 - 2015 - Preliminary geophysical interpretations of regional subsurface geology near the Questa Mine Tailing Facility and Guadalupe Mountain, Taos County, New Mexico","interactions":[],"lastModifiedDate":"2015-08-03T08:31:01","indexId":"ofr20151129","displayToPublicDate":"2015-08-01T08:45:00","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":"2015-1129","title":"Preliminary geophysical interpretations of regional subsurface geology near the Questa Mine Tailing Facility and Guadalupe Mountain, Taos County, New Mexico","docAbstract":"<p>This report presents geophysical interpretations of regional subsurface geology in the vicinity of the Tailing Facility of the Questa Mine near Guadalupe Mountain, Taos County, New Mexico, in cooperation with the New Mexico Environment Department. The interpretations were developed from aeromagnetic data, regional gravity data, data from four ground magnetic traverses, geologic mapping, a digital elevation model, and information from a few shallow wells. The resolution of the geophysical data is only appropriate for a broad assessment of the regional setting. Aeromagnetic data provided the most comprehensive information for interpretation. Qualitative and semiquantitative interpretations indicate the nature and extent of volcanic rocks, their relative depths, and inferred contacts between them, as well as conjectured locations of faults. In particular, the aeromagnetic data indicate places where volcanic rocks extend at shallow depths under sedimentary cover. Trachydacites of Guadalupe Mountain are magnetic, but their associated aeromagnetic anomalies are opposite in sign over the northern versus the southern parts of the mountain. The difference indicates that lavas erupted during different magnetic-polarity events in the north (reverse polarity) versus the south (normal polarity) and therefore have different ages. We postulate a buried volcano with reverse-polarity magnetization lies under the northeast side of Guadalupe Mountain, which likely predated the exposed trachydacites. Faults interpreted for the study area generally align with known fault zones. We interpret a northern extension to one of these faults that crosses northwesterly underneath the Tailing Facility. Gravity data indicate that Guadalupe Mountain straddles the western margin of a subbasin of the Rio Grande rift and that significant (&gt;400 meters) thicknesses of both volcanic and sedimentary rocks underlie the mountain.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151129","collaboration":"Prepared in cooperation with the New Mexico Environment Department","usgsCitation":"Grauch, V.J.S., Drenth, B.J., Thompson, R.A., and Bauer, P.W., 2015, Preliminary geophysical interpretations of regional subsurface geology near the Questa Mine Tailing Facility and Guadalupe Mountain, Taos County, New Mexico: U.S. Geological Survey Open-File Report 2015–1129, 35 p., https://dx.doi.org/10.3133/ofr20151129.","productDescription":"vi, 25 p.","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065303","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":306279,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1129/ofr20151129.pdf","text":"Report","size":"11.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1129"},{"id":306278,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1129/coverthb.jpg"}],"country":"United States","state":"New Mexico","county":"Taos County","otherGeospatial":"Guadalupe Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.68195343017578,\n              36.651618852404454\n            ],\n            [\n              -105.68195343017578,\n              36.74383627787639\n            ],\n            [\n              -105.59028625488281,\n              36.74383627787639\n            ],\n            [\n              -105.59028625488281,\n              36.651618852404454\n            ],\n            [\n              -105.68195343017578,\n              36.651618852404454\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Crustal Geophysics and Geochemistry Science Center<br /> U.S. Geological Survey<br /> Box 25046, MS 964<br /> Denver, CO 80225<br /><a href=\"http://crustal.usgs.gov/\">http://crustal.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Geologic Setting</li>\n<li>Geophysical Data</li>\n<li>Methods</li>\n<li>Interpretations</li>\n<li>Summary</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-08-01","noUsgsAuthors":false,"publicationDate":"2015-08-01","publicationStatus":"PW","scienceBaseUri":"57f7eed3e4b0bc0bec09ed25","contributors":{"authors":[{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":564638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":564639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":564640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauer, Paul W.","contributorId":145562,"corporation":false,"usgs":false,"family":"Bauer","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":564641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160743,"text":"70160743 - 2015 - The Penobscot River and environmental contaminants: Assessment of tribal exposure through sustenance lifeways","interactions":[],"lastModifiedDate":"2016-09-09T13:56:26","indexId":"70160743","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The Penobscot River and environmental contaminants: Assessment of tribal exposure through sustenance lifeways","docAbstract":"EPA in collaboration with the Penobscot Indian Nation, U.S. Geological Survey (USGS), Agency for Toxic Substances and Disease Registry (ATSDR), and the U.S. Fish and Wildlife Service (USF&WS) collectively embarked on a four year research study to evaluate the environmental health of the riverine system by targeting specific cultural practices and using traditional science to conduct a preliminary contaminant screening of the flora and fauna of the Penobscot River ecosystem. This study was designed as a preliminary screening to determine if contaminant concentrations in fish, eel, snapping turtle, wood ducks, and plants in Regions of the Penobscot River relevant to where PIN tribal members hunt, fish and gather plants were high enough to be a health concern. This study was not designed to be a statistically validated assessment of contaminant differences among study sites or among species. The traditional methodology for health risk assessment used by the U. S. Environmental Protection Agency (EPA) is based on the use of exposure assumptions (e.g. exposure duration, food ingestion rate, body weight, etc.) that represent the entire American population, either as a central tendency exposure (e.g. average, median) or as a reasonable maximum exposure (e.g. 95% upper confidence limit). Unfortunately, EPA lacked exposure information for assessing health risks for New England regional tribes sustaining a tribal subsistence way of life. As a riverine tribe, the Penobscot culture and traditions are inextricably tied to the Penobscot River watershed. It is through hunting, fishing, trapping, gathering and making baskets, pottery, moccasins, birch-bark canoes and other traditional practices that the Penobscot culture and people are sustained. The Penobscot River receives a variety of pollutant discharges leaving the Penobscot Indian Nation (PIN) questioning the ecological health and water quality of the river and how this may affect the practices that sustain their way of life. The objectives of this Regional Applied Research Effort (RARE) study were to:\r\nDevelop culturally sensitive methodologies for assessing the potential level of exposure tocontaminants that Penobscot Indian Nation tribal members may have from maintainingtribal sustenance practices.\r\nConduct field surveys and laboratory analysis on targeted flora and fauna for chemicalexposure to dioxins/furans, polychlorinated biphenyls (PCBs), total mercury and methyl-mercury.\r\nAssist the Agency for Toxic Substances and Disease Registry (ATSDR) by providing thenecessary data to conduct a Public Health Assessment for the Penobscot Indian Nation.\r\nEstablish protocols for assessing the level of exposure to PCBs, dioxins/furans and mercuryto PIN tribal members as a consequence of gathering tribal plants for medicinal andnutritional purposes; as well as consuming fish, wood duck, and snapping turtle as a primarysource of nutrition.\r\nSurvey surface water, drinking water, and sediment from the Penobscot River and IndianIsland to assess the exposure of PIN tribal members to environmental genotoxicants thatcontinue cultural sustenance practices.\r\nThis research initiative collected and analyzed sediment and biota to determine the level of contaminant exposure to Penobscot tribal members. Natural resource utilization patterns and exposure pathways were identified based on discussions with the Tribal elders. Identification of Tribal exposure factors (exposure pathways and contaminant concentrations) was essential for accurately assessing potential long-term Penobscot Indian Nation tribal members’ exposure. Based on this study, ATSDR’s Public Health Assessment (PHA) concluded that the Penobscot Indian Nation (PIN) tribal members who eat fish and snapping turtle at the ingestion levels suggested in the Wabanaki Traditional Cultural Lifeways Exposure Scenario Report (Wabanaki Exposure Scenario) may be exposed to harmful levels of mercury, dioxins/furans, dioxin-like PCBs, and ot","language":"English","publisher":"U.S. Environmental Protection Agency","collaboration":"USEPA","usgsCitation":"Marshall, V., Kusnierz, D., Hillger, R., Ferrario, J., Hughes, T., Diliberto, J., Orazio, C.E., Dudley, R.W., Byrne, C., Sugatt, R., Warren, S., DeMarini, D., Elskus, A., Stodola, S., Mierzykowski, S., Pugh, K., and Culbertson, C.W., 2015, The Penobscot River and environmental contaminants: Assessment of tribal exposure through sustenance lifeways, ix, 115 p. .","productDescription":"ix, 115 p. 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Christian","contributorId":150947,"corporation":false,"usgs":false,"family":"Byrne","given":"Christian","email":"","affiliations":[{"id":18151,"text":"US EPA Office of Pesticides Program","active":true,"usgs":false}],"preferred":false,"id":583749,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sugatt, Richard","contributorId":150948,"corporation":false,"usgs":false,"family":"Sugatt","given":"Richard","email":"","affiliations":[{"id":18149,"text":"US EPA Region 1","active":true,"usgs":false}],"preferred":false,"id":583750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Warren, Sarah","contributorId":150949,"corporation":false,"usgs":false,"family":"Warren","given":"Sarah","affiliations":[{"id":18152,"text":"US EPA Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":583751,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"DeMarini, 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,{"id":70155958,"text":"70155958 - 2015 - Comparison of reintroduction and enhancement effects on metapopulation viability","interactions":[],"lastModifiedDate":"2015-08-13T13:28:13","indexId":"70155958","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of reintroduction and enhancement effects on metapopulation viability","docAbstract":"<p>Metapopulation viability depends upon a balance of extinction and colonization of local habitats by a species. Mechanisms that can affect this balance include physical characteristics related to natural processes (e.g. succession) as well as anthropogenic actions. Plant restorations can help to produce favorable metapopulation dynamics and consequently increase viability; however, to date no studies confirm this is true. Population viability analysis (PVA) allows for the use of empirical data to generate theoretical future projections in the form of median time to extinction and probability of extinction. In turn, PVAs can inform and aid the development of conservation, recovery, and management plans. Pitcher's thistle (Cirsium pitcheri) is a dune endemic that exhibited metapopulation dynamics. We projected viability of three natural and two restored populations with demographic data spanning 15&ndash;23&thinsp;years to determine the degree the addition of reintroduced population affects metapopulation viability. The models were validated by comparing observed and projected abundances and adjusting parameters associated with demographic and environmental stochasticity to improve model performance. Our chosen model correctly predicted yearly population abundance for 60% of the population-years. Using that model, 50-year projections showed that the addition of reintroductions increases metapopulation viability. The reintroduction that simulated population performance in early-successional habitats had the maximum benefit. In situ enhancements of existing populations proved to be equally effective. This study shows that restorations can facilitate and improve metapopulation viability of species dependent on metapopulation dynamics for survival with long-term persistence of C. pitcheri in Indiana likely to depend on continued active management.</p>","language":"English","publisher":"Wiley-Blackwell Publishing","publisherLocation":"Maldon, MA","doi":"10.1111/rec.12191","usgsCitation":"Halsey, S., Bell, T.J., McEachern, K., and Pavlovic, N.B., 2015, Comparison of reintroduction and enhancement effects on metapopulation viability: Restoration Ecology, v. 23, no. 4, p. 375-384, https://doi.org/10.1111/rec.12191.","productDescription":"10 p.","startPage":"375","endPage":"384","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052380","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":306659,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","volume":"23","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-09","publicationStatus":"PW","scienceBaseUri":"55cdbfade4b08400b1fe13dc","chorus":{"doi":"10.1111/rec.12191","url":"http://dx.doi.org/10.1111/rec.12191","publisher":"Wiley-Blackwell","authors":"Halsey Samniqueka J., Bell Timothy J., McEachern Kathryn, Pavlovic Noel B.","journalName":"Restoration Ecology","publicationDate":"3/9/2015","auditedOn":"9/3/2015"},"contributors":{"authors":[{"text":"Halsey, Samniqueka J","contributorId":146325,"corporation":false,"usgs":false,"family":"Halsey","given":"Samniqueka J","affiliations":[{"id":16668,"text":"Chicago State University","active":true,"usgs":false}],"preferred":false,"id":567411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Timothy J.","contributorId":70885,"corporation":false,"usgs":true,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":567412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":567409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":567410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187346,"text":"70187346 - 2015 - Resilience of ponderosa and lodgepole pine forests to mountain pine beetle disturbance and limited regeneration","interactions":[],"lastModifiedDate":"2017-05-01T13:57:25","indexId":"70187346","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Resilience of ponderosa and lodgepole pine forests to mountain pine beetle disturbance and limited regeneration","docAbstract":"<p><span>After causing widespread mortality in lodgepole pine forests in North America, the mountain pine beetle (MPB) has recently also affected ponderosa pine, an alternate host species that may have different levels of resilience to this disturbance. We collected field data in ponderosa pine- and lodgepole pine-dominated forests attacked by MPB in Colorado and then simulated stand growth over 200 years using the Forest Vegetation Simulator. We compared scenarios of no disturbance with scenarios of MPB-caused mortality, both with and without regeneration. Results indicated that basal area and tree density recovered to predisturbance levels relatively rapidly (within 1‐8 decades) in both forest types. However, convergence of the disturbed conditions with simulated undisturbed conditions took longer (12‐20+ decades) and was delayed by the absence of regeneration. In MPB-affected ponderosa pine forests without regeneration, basal area did not converge with undisturbed conditions within 200 years, implying lower resilience in this ecosystem. Surface fuels accumulated rapidly in both forest types after MPB-induced mortality, remaining high for 3‐6 decades in simulations. Our results suggest that future patterns of succession, regeneration, fuel loading, climate, and disturbance interactions over long time periods should be considered in management strategies addressing MPB effects in either forest type, but particularly in ponderosa pine.</span></p>","language":"English","publisher":"Ingenta","doi":"10.5849/forsci.14-192","usgsCitation":"Briggs, J.S., Hawbaker, T., and Vandendriesche, D., 2015, Resilience of ponderosa and lodgepole pine forests to mountain pine beetle disturbance and limited regeneration: Forest Science, v. 61, no. 4, p. 689-702, https://doi.org/10.5849/forsci.14-192.","productDescription":"14 p.","startPage":"689","endPage":"702","ipdsId":"IP-057982","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/forsci.14-192","text":"Publisher Index Page"},{"id":340687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd5c","contributors":{"authors":[{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandendriesche, Don","contributorId":191603,"corporation":false,"usgs":false,"family":"Vandendriesche","given":"Don","email":"","affiliations":[],"preferred":false,"id":693571,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188063,"text":"70188063 - 2015 - Evaluating a satellite-based seasonal evapotranspiration product and identifying its relationship with other satellite-derived products and crop yield: A case study for Ethiopia","interactions":[],"lastModifiedDate":"2017-05-30T13:16:13","indexId":"70188063","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating a satellite-based seasonal evapotranspiration product and identifying its relationship with other satellite-derived products and crop yield: A case study for Ethiopia","docAbstract":"<p><span>Satellite-derived evapotranspiration anomalies and normalized difference vegetation index (NDVI) products from Moderate Resolution Imaging Spectroradiometer (MODIS) data are currently used for African agricultural drought monitoring and food security status assessment. In this study, a process to evaluate satellite-derived evapotranspiration (ETa) products with a geospatial statistical exploratory technique that uses NDVI, satellite-derived rainfall estimate (RFE), and crop yield data has been developed. The main goal of this study was to evaluate the ETa using the NDVI and RFE, and identify a relationship between the ETa and Ethiopia’s cereal crop (i.e., teff, sorghum, corn/maize, barley, and wheat) yields during the main rainy season. Since crop production is one of the main factors affecting food security, the evaluation of remote sensing-based seasonal ETa was done to identify the appropriateness of this tool as a proxy for monitoring vegetation condition in drought vulnerable and food insecure areas to support decision makers. The results of this study showed that the comparison between seasonal ETa and RFE produced strong correlation (</span><i>R</i><sup>2</sup><span>&nbsp;&gt;&nbsp;0.99) for all 41 crop growing zones in Ethiopia. The results of the spatial regression analyses of seasonal ETa and NDVI using Ordinary Least Squares and Geographically Weighted Regression showed relatively weak yearly spatial relationships (</span><i>R</i><sup>2</sup><span>&nbsp;&lt;&nbsp;0.7) for all cropping zones. However, for each individual crop zones, the correlation between NDVI and ETa ranged between 0.3 and 0.84 for about 44% of the cropping zones. Similarly, for each individual crop zones, the correlation (</span><i>R</i><sup>2</sup><span>) between the seasonal ETa anomaly and de-trended cereal crop yield was between 0.4 and 0.82 for 76% (31 out of 41) of the crop growing zones. The preliminary results indicated that the ETa products have a good predictive potential for these 31 identified zones in Ethiopia. Decision makers may potentially use ETa products for monitoring cereal crop yields and early warning of food insecurity during drought years for these identified zones.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2015.03.006","usgsCitation":"Tadesse, T., Senay, G.B., Berhan, G., Regassa, T., and Beyene, S., 2015, Evaluating a satellite-based seasonal evapotranspiration product and identifying its relationship with other satellite-derived products and crop yield: A case study for Ethiopia: International Journal of Applied Earth Observation and Geoinformation, v. 40, p. 39-54, https://doi.org/10.1016/j.jag.2015.03.006.","productDescription":"16 p.","startPage":"39","endPage":"54","ipdsId":"IP-064424","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2015.03.006","text":"Publisher Index Page"},{"id":341857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[37.90607,14.95943],[38.51295,14.50547],[39.0994,14.74064],[39.34061,14.53155],[40.02625,14.51959],[40.8966,14.11864],[41.1552,13.77333],[41.59856,13.45209],[42.00975,12.86582],[42.35156,12.54223],[42,12.1],[41.66176,11.6312],[41.73959,11.35511],[41.75557,11.05091],[42.31414,11.0342],[42.55493,11.10511],[42.77685,10.92688],[42.55876,10.57258],[42.92812,10.02194],[43.29699,9.54048],[43.67875,9.18358],[46.94834,7.99688],[47.78942,8.003],[44.9636,5.00162],[43.66087,4.95755],[42.76967,4.25259],[42.12861,4.23413],[41.85508,3.91891],[41.1718,3.91909],[40.76848,4.25702],[39.85494,3.83879],[39.55938,3.42206],[38.89251,3.50074],[38.67114,3.61607],[38.43697,3.58851],[38.12092,3.59861],[36.85509,4.44786],[36.15908,4.44786],[35.81745,4.77697],[35.81745,5.33823],[35.29801,5.506],[34.70702,6.59422],[34.25032,6.82607],[34.0751,7.22595],[33.56829,7.71334],[32.95418,7.78497],[33.2948,8.35458],[33.8255,8.37916],[33.97498,8.68456],[33.96162,9.58358],[34.25745,10.63009],[34.73115,10.91017],[34.83163,11.31896],[35.26049,12.08286],[35.86363,12.57828],[36.27022,13.56333],[36.42951,14.42211],[37.59377,14.2131],[37.90607,14.95943]]]},\"properties\":{\"name\":\"Ethiopia\"}}]}","volume":"40","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84bbe4b092b266f10d42","contributors":{"authors":[{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":696424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berhan, Getachew","contributorId":192391,"corporation":false,"usgs":false,"family":"Berhan","given":"Getachew","email":"","affiliations":[],"preferred":false,"id":696425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regassa, Teshome","contributorId":192395,"corporation":false,"usgs":false,"family":"Regassa","given":"Teshome","email":"","affiliations":[],"preferred":false,"id":696426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beyene, Shimelis","contributorId":192396,"corporation":false,"usgs":false,"family":"Beyene","given":"Shimelis","email":"","affiliations":[],"preferred":false,"id":696427,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168388,"text":"70168388 - 2015 - Spatial scaling patterns and functional redundancies in a changing boreal lake landscape","interactions":[],"lastModifiedDate":"2016-02-11T10:14:18","indexId":"70168388","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Spatial scaling patterns and functional redundancies in a changing boreal lake landscape","docAbstract":"<p>Global transformations extend beyond local habitats; therefore, larger-scale approaches are needed to assess community-level responses and resilience to unfolding environmental changes. Using longterm data (1996&ndash;2011), we evaluated spatial patterns and functional redundancies in the littoral invertebrate communities of 85 Swedish lakes, with the objective of assessing their potential resilience to environmental change at regional scales (that is, spatial resilience). Multivariate spatial modeling was used to differentiate groups of invertebrate species exhibiting spatial patterns in composition and abundance (that is, deterministic species) from those lacking spatial patterns (that is, stochastic species). We then determined the functional feeding attributes of the deterministic and stochastic invertebrate species, to infer resilience. Between one and three distinct spatial patterns in invertebrate composition and abundance were identified in approximately one-third of the species; the remainder were stochastic. We observed substantial differences in metrics between deterministic and stochastic species. Functional richness and diversity decreased over time in the deterministic group, suggesting a loss of resilience in regional invertebrate communities. However, taxon richness and redundancy increased monotonically in the stochastic group, indicating the capacity of regional invertebrate communities to adapt to change. Our results suggest that a refined picture of spatial resilience emerges if patterns of both the deterministic and stochastic species are accounted for. Spatially extensive monitoring may help increase our mechanistic understanding of community-level responses and resilience to regional environmental change, insights that are critical for developing management and conservation agendas in this current period of rapid environmental transformation.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-015-9871-z","usgsCitation":"Angeler, D., Allen, C.R., Uden, D.R., and Johnson, R.K., 2015, Spatial scaling patterns and functional redundancies in a changing boreal lake landscape: Ecosystems, v. 18, no. 5, p. 889-902, https://doi.org/10.1007/s10021-015-9871-z.","productDescription":"14 p.","startPage":"889","endPage":"902","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061373","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":317936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sweden","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[22.18317,65.72374],[21.21352,65.02601],[21.36963,64.41359],[19.77888,63.60955],[17.84778,62.7494],[17.11955,61.34117],[17.83135,60.63658],[18.78772,60.08191],[17.86922,58.95377],[16.82919,58.71983],[16.44771,57.04112],[15.87979,56.1043],[14.66668,56.20089],[14.10072,55.40778],[12.94291,55.36174],[12.6251,56.30708],[11.78794,57.44182],[11.02737,58.85615],[11.46827,59.43239],[12.30037,60.11793],[12.63115,61.29357],[11.99206,61.80036],[11.93057,63.12832],[12.57994,64.06622],[13.57192,64.04911],[13.91991,64.44542],[13.55569,64.78703],[15.10841,66.19387],[16.10871,67.30246],[16.76888,68.01394],[17.72918,68.01055],[17.99387,68.56739],[19.87856,68.40719],[20.02527,69.06514],[20.64559,69.10625],[21.97853,68.61685],[23.53947,67.93601],[23.56588,66.39605],[23.90338,66.00693],[22.18317,65.72374]]]},\"properties\":{\"name\":\"Sweden\"}}]}","volume":"18","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-03","publicationStatus":"PW","scienceBaseUri":"56bdbecce4b06458514aeee4","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":619893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":619894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":619895,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159431,"text":"70159431 - 2015 - Holocene variability in the intensity of wind-gap upwelling in the tropical eastern Pacific","interactions":[],"lastModifiedDate":"2015-10-29T10:53:53","indexId":"70159431","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Holocene variability in the intensity of wind-gap upwelling in the tropical eastern Pacific","docAbstract":"<p>Wind-driven upwelling in Pacific Panam&aacute; is a significant source of oceanographic variability in the tropical eastern Pacific. This upwelling system provides a critical teleconnection between the Atlantic and tropical Pacific that may impact climate variability on a global scale. Despite its importance to oceanographic circulation, ecology, and climate, little is known about the long-term stability of the Panamanian upwelling system or its interaction with climatic forcing on millennial time scales. Using a combination of radiocarbon and U-series dating of fossil corals collected in cores from five sites across Pacific Panam&aacute;, we reconstructed the local radiocarbon reservoir correction, &Delta;R, from ~6750 cal B.P. to present. Because the &Delta;R of shallow-water environments is elevated by upwelling, our data set represents a millennial-scale record of spatial and temporal variability of the Panamanian upwelling system. The general oceanographic gradient from relatively strong upwelling in the Gulf of Panam&aacute; to weak-to-absent upwelling in the Gulf of Chiriqu&iacute; was present throughout our record; however, the intensity of upwelling in the Gulf of Panam&aacute; varied significantly through time. Our reconstructions suggest that upwelling in the Gulf of Panam&aacute; is weak at present; however, the middle Holocene was characterized by periods of enhanced upwelling, with the most intense upwelling occurring just after of a regional shutdown in the development of reefs at ~4100 cal B.P. Comparisons with regional climate proxies suggest that, whereas the Intertropical Convergence Zone is the primary control on modern upwelling in Pacific Panam&aacute;, the El Ni&ntilde;o&ndash;Southern Oscillation drove the millennial-scale variability of upwelling during the Holocene.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015PA002794","usgsCitation":"Toth, L., Aronson, R.B., Cheng, H., and Edwards, R.L., 2015, Holocene variability in the intensity of wind-gap upwelling in the tropical eastern Pacific: Paleoceanography, v. 30, no. 8, p. 1113-1131, https://doi.org/10.1002/2015PA002794.","productDescription":"29 p.","startPage":"1113","endPage":"1131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063612","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471909,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015pa002794","text":"Publisher Index Page"},{"id":310755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","otherGeospatial":"Gulf of Chiriqui, Gulf of Panama","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.90283203125,\n              6.54455998565331\n            ],\n            [\n              -82.90283203125,\n              9.09124858577939\n            ],\n            [\n              -78.06884765624999,\n              9.09124858577939\n            ],\n            [\n              -78.06884765624999,\n              6.54455998565331\n            ],\n            [\n              -82.90283203125,\n              6.54455998565331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"5633433de4b048076347eecb","contributors":{"authors":[{"text":"Toth, Lauren T. ltoth@usgs.gov","contributorId":149483,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren T.","email":"ltoth@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":578589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aronson, Richard B.","contributorId":76233,"corporation":false,"usgs":true,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":578590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, Hai","contributorId":85896,"corporation":false,"usgs":true,"family":"Cheng","given":"Hai","affiliations":[],"preferred":false,"id":578591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, R. Lawrence","contributorId":69760,"corporation":false,"usgs":true,"family":"Edwards","given":"R.","email":"","middleInitial":"Lawrence","affiliations":[],"preferred":false,"id":578592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155927,"text":"70155927 - 2015 - Framework for modeling urban restoration resilience time in the aftermath of an extreme event","interactions":[],"lastModifiedDate":"2015-08-13T11:40:21","indexId":"70155927","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2823,"text":"Natural Hazards Review","active":true,"publicationSubtype":{"id":10}},"title":"Framework for modeling urban restoration resilience time in the aftermath of an extreme event","docAbstract":"<p>The impacts of extreme events continue long after the emergency response has terminated. Effective reconstruction of supply-chain strategic infrastructure (SCSI) elements is essential for postevent recovery and the reconnectivity of a region with the outside. This study uses an interdisciplinary approach to develop a comprehensive framework to model resilience time. The framework is tested by comparing resilience time results for a simulated EF-5 tornado with ground truth data from the tornado that devastated Joplin, Missouri, on May 22, 2011. Data for the simulated tornado were derived for Overland Park, Johnson County, Kansas, in the greater Kansas City, Missouri, area. Given the simulated tornado, a combinatorial graph considering the damages in terms of interconnectivity between different SCSI elements is derived. Reconstruction in the aftermath of the simulated tornado is optimized using the proposed framework to promote a rapid recovery of the SCSI. This research shows promising results when compared with the independent quantifiable data obtained from Joplin, Missouri, returning a resilience time of 22 days compared with 25 days reported by city and state officials.</p>","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)NH.1527-6996.0000184","usgsCitation":"Ramachandran, V., Long, S.K., Shoberg, T.G., Corns, S., and Carlo, H., 2015, Framework for modeling urban restoration resilience time in the aftermath of an extreme event: Natural Hazards Review, p. 1-11, https://doi.org/10.1061/(ASCE)NH.1527-6996.0000184.","productDescription":"04015005; 11 p.","startPage":"1","endPage":"11","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042468","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":306646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Johnson","city":"Overland Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.71588134765625,\n              38.9278999330871\n            ],\n            [\n              -94.71588134765625,\n              38.99570671505043\n            ],\n            [\n              -94.61975097656249,\n              38.99570671505043\n            ],\n            [\n              -94.61975097656249,\n              38.9278999330871\n            ],\n            [\n              -94.71588134765625,\n              38.9278999330871\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7eee1e4b0bc0bec09ed68","contributors":{"authors":[{"text":"Ramachandran, Varun","contributorId":146269,"corporation":false,"usgs":false,"family":"Ramachandran","given":"Varun","email":"","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":566926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Suzanna K.","contributorId":146270,"corporation":false,"usgs":false,"family":"Long","given":"Suzanna","email":"","middleInitial":"K.","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":566927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":566925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corns, Steven","contributorId":146271,"corporation":false,"usgs":false,"family":"Corns","given":"Steven","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":566928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlo, Héctor","contributorId":146272,"corporation":false,"usgs":false,"family":"Carlo","given":"Héctor","affiliations":[{"id":16656,"text":"Dept. of Industrial Engineering, University of Puerto Rico at Mayagüez","active":true,"usgs":false}],"preferred":false,"id":566929,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156091,"text":"70156091 - 2015 - Water masses, ocean fronts, and the structure of Antarctic seabird communities: putting the eastern Bellingshausen Sea in perspective","interactions":[],"lastModifiedDate":"2024-05-21T16:08:42.453927","indexId":"70156091","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Water masses, ocean fronts, and the structure of Antarctic seabird communities: putting the eastern Bellingshausen Sea in perspective","docAbstract":"<p><span>Waters off the western Antarctic Peninsula (i.e., the eastern Bellingshausen Sea) are unusually complex owing to the convergence of several major fronts. Determining the relative influence of fronts on occurrence patterns of top-trophic species in that area, therefore, has been challenging. In one of the few ocean-wide seabird data syntheses, in this case for the Southern Ocean, we analyzed ample, previously collected cruise data, Antarctic-wide, to determine seabird species assemblages and quantitative relationships to fronts as a way to provide context to the long-term Palmer LTER and the winter Southern Ocean GLOBEC studies in the eastern Bellingshausen Sea. Fronts investigated during both winter (April&ndash;September) and summer (October&ndash;March) were the southern boundary of the Antarctic Circumpolar Current (ACC), which separates the High Antarctic from the Low Antarctic water mass, and within which are embedded the marginal ice zone and Antarctic Shelf Break Front; and the Antarctic Polar Front, which separates the Low Antarctic and the Subantarctic water masses. We used clustering to determine species' groupings with water masses, and generalized additive models to relate species' densities, biomass and diversity to distance to respective fronts. Antarctic-wide, in both periods, highest seabird densities and lowest species diversity were found in the High Antarctic water mass. In the eastern Bellingshausen, seabird density in the High Antarctic water mass was lower (as low as half that of winter) than found in other Antarctic regions. During winter, Antarctic-wide, two significant species groups were evident: one dominated by Ad&eacute;lie penguins (</span><i>Pygoscelis adeliae</i><span>) (High Antarctic water mass) and the other by petrels and prions (no differentiation among water masses); in eastern Bellingshausen waters during winter, the one significant species group was composed of species from both Antarctic-wide groups. In summer, Antarctic-wide, a High Antarctic group dominated by Ad&eacute;lie penguins, a Low Antarctic group dominated by petrels, and a Subantarctic group dominated by albatross were evident. In eastern Bellingshausen waters during summer, groups were inconsistent. With regard to frontal features, Antarctic-wide in winter, distance to the ice edge was an important explanatory factor for nine of 14 species, distance to the Antarctic Polar Front for six species and distance to the Shelf Break Front for six species; however, these Antarctic-wide models could not successfully predict spatial relationships of winter seabird density (individual species or total) and biomass in the eastern Bellingshausen. Antarctic-wide in summer, distance to land/Antarctic continent was important for 10 of 18 species, not a surprising result for these summer-time Antarctic breeders, as colonies are associated with ice-free areas of coastal land. Distance to the Shelf Break Front was important for 8 and distance to the southern boundary of the ACC was important for 7 species. These summer models were more successful in predicting eastern Bellingshausen species density and species diversity but failed to predict total seabird density or biomass. Antarctic seabirds appear to respond to fronts in a way similar to that observed along the well-studied upwelling front of the California Current. To understand fully the seabird patterns found in this synthesis, multi-disciplinary at-sea investigations, including a quantified prey field, are needed.</span></p>","language":"English","publisher":"Science Direct","doi":"10.1016/j.dsr2.2009.09.017","usgsCitation":"Ribic, C.A., Ainley, D.G., Ford, R.G., Fraser, W., Tynan, C.T., and Woehler, E.J., 2015, Water masses, ocean fronts, and the structure of Antarctic seabird communities: putting the eastern Bellingshausen Sea in perspective: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 58, no. 13-16, p. 1695-1709, https://doi.org/10.1016/j.dsr2.2009.09.017.","productDescription":"15 p.","startPage":"1695","endPage":"1709","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010170","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502621,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Water_masses_ocean_fronts_and_the_structure_of_Antarctic_seabird_communities_Putting_the_eastern_Bellingshausen_Sea_in_perspective/22890020","text":"External Repository"},{"id":306852,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Bellingshausen Sea, Southern Ocean, Western Antarctic Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.49218749999999,\n              -76.16399261609192\n            ],\n            [\n              -51.591796875,\n              -76.16399261609192\n            ],\n            [\n              -51.591796875,\n              -56.218923189166624\n            ],\n            [\n              -99.49218749999999,\n              -56.218923189166624\n            ],\n            [\n              -99.49218749999999,\n              -76.16399261609192\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"13-16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45736e4b0518e3546950a","contributors":{"authors":[{"text":"Ribic, Christine A. caribic@usgs.gov","contributorId":831,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":567844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":568384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, R. Glenn","contributorId":75793,"corporation":false,"usgs":false,"family":"Ford","given":"R.","email":"","middleInitial":"Glenn","affiliations":[],"preferred":false,"id":568385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, William R.","contributorId":94277,"corporation":false,"usgs":true,"family":"Fraser","given":"William R.","affiliations":[],"preferred":false,"id":568386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tynan, Cynthia T.","contributorId":43208,"corporation":false,"usgs":false,"family":"Tynan","given":"Cynthia","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":568387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woehler, Eric J.","contributorId":39561,"corporation":false,"usgs":false,"family":"Woehler","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":568388,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187763,"text":"70187763 - 2015 - A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree cover data","interactions":[],"lastModifiedDate":"2022-03-25T13:49:07.651942","indexId":"70187763","displayToPublicDate":"2015-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree cover data","docAbstract":"<p><span>The methodology for selection, creation, and application of a global remote sensing validation dataset using high resolution commercial satellite data is presented. High resolution data are obtained for a stratified random sample of 500 primary sampling units (5 km × 5 km sample blocks), where the stratification based on Köppen climate classes is used to distribute the sample globally among biomes. The high resolution data are classified to categorical land cover maps using an analyst mediated classification workflow. Our initial application of these data is to evaluate a global 30 m Landsat-derived, continuous field tree cover product. For this application, the categorical reference classification produced at 2 m resolution is converted to percent tree cover per 30 m pixel (secondary sampling unit)for comparison to Landsat-derived estimates of tree cover. We provide example results (based on a subsample of 25 sample blocks in South America) illustrating basic analyses of agreement that can be produced from these reference data. Commercial high resolution data availability and data quality are shown to provide a viable means of validating continuous field tree cover. When completed, the reference classifications for the full sample of 500 blocks will be released for public use.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.01.018","usgsCitation":"Pengra, B., Long, J., Dahal, D., Stehman, S.V., and Loveland, T.R., 2015, A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree cover data: Remote Sensing of Environment, v. 165, p. 234-248, https://doi.org/10.1016/j.rse.2015.01.018.","productDescription":"15 p.; Data Release","startPage":"234","endPage":"248","ipdsId":"IP-058560","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397411,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96FKANW","text":"USGS data release","description":"USGS data release","linkHelpText":"A circa 2010 global land cover reference dataset from commercial high resolution satellite data"}],"otherGeospatial":"South America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.6875,\n              -54.77534585936447\n            ],\n            [\n              -68.90625,\n              -51.39920565355377\n            ],\n            [\n              -64.3359375,\n              -48.69096039092549\n            ],\n            [\n              -56.953125,\n              -37.71859032558814\n            ],\n            [\n              -46.7578125,\n              -28.92163128242129\n            ],\n            [\n              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       ]\n      }\n    }\n  ]\n}","volume":"165","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593e26bfe4b0764e6c61b75b","contributors":{"authors":[{"text":"Pengra, Bruce 0000-0003-2497-8284 bpengra@usgs.gov","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":5132,"corporation":false,"usgs":true,"family":"Pengra","given":"Bruce","email":"bpengra@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","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":695527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":695528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":695529,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147943,"text":"ofr20151091 - 2015 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2014 annual report","interactions":[],"lastModifiedDate":"2018-09-21T11:28:11","indexId":"ofr20151091","displayToPublicDate":"2015-07-31T10:00:00","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":"2015-1091","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2014 annual report","docAbstract":"<p>This is the seventh report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual activities conducted by the USGS for addressing specific management needs identified by WLCI partners. In FY2014, there were 26 projects, including a new one that was completed, two others that were also completed, and several that entered new phases or directions. The 26 projects fall into several categories: (1) synthesizing and analyzing existing data to identify current conditions on the landscape and using the data to develop models for projecting past and future landscape conditions; (2) monitoring indicators of ecosystem conditions and the effectiveness of on-the-ground habitat projects; (3) conducting research to elucidate the mechanisms underlying wildlife and habitat responses to changing land uses; (4) managing and making accessible the large number of databases, maps, and other products being developed; and (5) coordinating efforts among WLCI partners, helping them use USGS-developed decision-support tools, and integrating WLCI outcomes with future habitat enhancement and research projects.</p>\n<p>The new (completed) project was the development and publication of a public outreach piece for visitors of Fossil Butte National Monument. The final product was a USGS Fact Sheet that capitalized on previously collected elk-monitoring data to interpret the ecology of the Monument&rsquo;s elk population and the importance of the Monument&rsquo;s habitats to this highly visible wildlife species. One of the completed projects entailed developing and evaluating a synthetic approach to high-resolution satellite imagery for use in effectiveness monitoring, which culminated in a journal article. The other completed project was a coalescing of two similar tasks under data and information management that pertain to Web application development and the development of outreach and graphic products into a single integrated project that focuses on developing and maintaining/upgrading Web applications and other tools for visualizing, mapping, and using geospatial data.</p>\n<p>Major accomplishments for FY2014 included several publications, including Part B of an energy resources map that (with Part A) depicts coal, wind, oil, gas, oil shale, uranium, and solar energy production in the WLCI region. Two published works associated with sage-grouse included a Wildlife Monograph on prioritizing species&rsquo; habitats across large landscapes, multiple seasons, and novel areas (using sage-grouse in Wyoming as an example), and a USGS Data Series report that includes both the data used in the habitat-prioritization models and the habitat prioritization models developed for sage-grouse. Our Science Team also published a framework for conducting large, collaborative projects that rely on geospatial data, and a paper that describes the efficacy of fusing satellite data collected at various resolutions for measuring and monitoring vegetation changes. These products are all invaluable tools for maximizing the efficiency and effectiveness of managing species of concern, conducting future landscape-scale assessments, and monitoring status and trends of landscape conditions.</p>\n<p>Other highlights of FY2014 included a renewed effort to gather and analyze wildlife and habitat status and trend data for the WLCI Interagency Monitoring Database (IAMD) to assess long-term trends and cumulative effects associated with land-use and climate changes. Water-monitoring efforts included drilling four new groundwater-monitoring wells in the Green and New Fork River basins near the proposed Normally Pressured Lance Formation energy development, and continued data collection at established water-monitoring sites. Three additional wells were sampled as part of the Wyoming Groundwater Monitoring Network, bringing the total to 19 Network wells sampled in the WLCI region since 2010. Combined, these water-monitoring efforts can help to identify potential changes in water quality or levels that may result from land-use changes. Major terrestrial monitoring accomplishments included processing satellite imagery from 1985&minus;2010 to develop a historical perspective of long-term vegetation changes, which can serve as a basis for monitoring current and future trends in sagebrush steppe. Such data are crucial tools for agencies tasked with sage-grouse management and conservation.</p>\n<p>The USGS WLCI Science Team also continued monitoring and testing methods for evaluating WLCI habitat treatments designed to promote aspen regeneration and enhance sage-grouse habitat, and to assess how those treatments influence invasive species distributions and ungulate herbivory. Highlights included analyzing field data collected to elucidate the relationships between sage-grouse habitat use and the proximity of energy infrastructure, and using new instruments to measure productivity responses of aspen woodlands to various factors.</p>\n<p>Numerous FY2014 accomplishments specifically addressed agency needs to manage and conserve Wyoming&rsquo;s wildlife species of concern. A pygmy rabbit habitat model and Wyoming distribution map were completed to identify factors associated with rabbit habitat occupancy. Previous work on sage-grouse population dynamics was expanded to better understand the factors that drive long-term viability of sage-grouse populations and to develop a tool that helps to identify key factors limiting sage-grouse persistence in Wyoming. Field work and data analyses continued for elucidating the relationships between sagebrush songbird abundance and productivity, the intensity of energy development, and community dynamics of nest predators. For the mule deer study, mixed mountain shrublands important to migrating and wintering mule deer were mapped and delivered to WLCI partners. Additionally, the relationships between energy development and crucial winter habitat for mule deer were evaluated, and a new phase of work was implemented to better understand relationships between plant phenology and mule deer migration movements. Finally, initial analyses of data collected to evaluate fish-community composition in relation to habitat quality indicate that water quality, as measured by concentrations of hydrocarbons, water temperature, and others parameters, has been diminished in subwatersheds with higher levels of energy development. Overall, the outcomes and products of these wildlife studies contribute significantly to the information and tools needed for addressing effects of land-use changes on Wyoming&rsquo;s species of concern.</p>\n<p>Finally, capabilities of the WLCI Web site and the USGS ScienceBase infrastructure were maintained and upgraded to help ensure access to and efficient use of all the WLCI data, products, assessment tools, and outreach materials that have been developed. Of particular note is the completion of three Web applications developed for mapping (1) the 1900&minus;2008 progression of oil and gas development;(2) the predicted distributions of Wyoming&rsquo;s Species of Greatest Conservation Need; and (3) the locations of coal and wind energy production, sage-grouse distribution and core management areas, and alternative routes for transmission lines within the WLCI region. Collectively, these applications tools provide WLCI planners and managers with powerful tools for better understanding the distributions of wildlife species and potential alternatives for energy development.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151091","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Bartos, T.T., Biewick, L.R., Boughton, G.K., Chalfoun, A.D., Chong, G.W., Dematatis, M.K., Eddy-Miller, C., Garman, S.L., Germaine, S., Homer, C.G., Huber, C., Kauffman, M., Latysh, N., Manier, D.J., Melcher, C.P., Miller, A., Miller, K.A., Olexa, E.M., Schell, S., Walters, A.W., Wilson, A.B., and Wyckoff, T.B., 2015, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2014 annual report: U.S. Geological Survey Open-File Report 2015-1091, x, 61 p., https://doi.org/10.3133/ofr20151091.","productDescription":"x, 61 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,{"id":70137893,"text":"70137893 - 2015 - Mapping surficial minerals at high latitudes: The USGS 2014 imaging spectrometer data collection in Alaska","interactions":[],"lastModifiedDate":"2020-11-05T16:34:33.45192","indexId":"70137893","displayToPublicDate":"2015-07-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping surficial minerals at high latitudes: The USGS 2014 imaging spectrometer data collection in Alaska","docAbstract":"<p>Passive optical remote sensing of high latitude regions faces many challenges including a short acquisition season and poor illumination due to low solar elevation. Additional complications are encountered in the identification of surface minerals for mineral resource characterization because minerals of interest commonly are exposed on steep terrain, further challenging reflectance retrieval and detection of mineral signatures. On shallow slopes and flat terrain, vegetation cover can interfere with or obscure the absorption features of minerals in rock and soil. The USGS is conducting a study to examine the viability of using remote sensing techniques for identification of large-tonnage, base metal-rich deposits in Alaska.</p>","conferenceTitle":"IGARSS 2015","conferenceDate":"July 26-31, 2015","conferenceLocation":"Milan, Italy","language":"English","usgsCitation":"Kokaly, R., Hoefen, T.M., Graham, G., Kelly, K., Johnson, M., Hubbard, B., and Goldfarb, R., 2015, Mapping surficial minerals at high latitudes: The USGS 2014 imaging spectrometer data collection in Alaska, IGARSS 2015, Milan, Italy, July 26-31, 2015, 1 p.","productDescription":"1 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062384","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":311625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.62109374999997,\n              58.90464570302001\n            ],\n            [\n              -140.3173828125,\n              58.90464570302001\n            ],\n            [\n              -140.3173828125,\n              69.14692017504962\n            ],\n            [\n              -156.62109374999997,\n              69.14692017504962\n            ],\n            [\n              -156.62109374999997,\n              58.90464570302001\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5650524ee4b0f162148c5d13","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":538279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":538280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Garth","contributorId":11924,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","affiliations":[],"preferred":false,"id":580406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Karen","contributorId":147239,"corporation":false,"usgs":false,"family":"Kelly","given":"Karen","email":"","affiliations":[],"preferred":false,"id":580407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Michaela 0000-0001-6133-0247","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":150010,"corporation":false,"usgs":false,"family":"Johnson","given":"Michaela","affiliations":[],"preferred":false,"id":580408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubbard, Bernard","contributorId":150011,"corporation":false,"usgs":false,"family":"Hubbard","given":"Bernard","affiliations":[],"preferred":false,"id":580409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldfarb, Richard","contributorId":14409,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","affiliations":[],"preferred":false,"id":580410,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70155243,"text":"ofr20151138 - 2015 - Preliminary interpretation of industry two-dimensional seismic data from Susitna Basin, south-central Alaska","interactions":[],"lastModifiedDate":"2015-07-31T09:28:01","indexId":"ofr20151138","displayToPublicDate":"2015-07-30T16:45:00","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":"2015-1138","title":"Preliminary interpretation of industry two-dimensional seismic data from Susitna Basin, south-central Alaska","docAbstract":"<p>Located approximately 80 kilometers northwest of Anchorage, Alaska, the Susitna Basin is a complex sedimentary basin whose tectonic history has been poorly understood. Recent interpretation of two-dimensional seismic reflection data integrated with well, aeromagnetic, and gravity data provides new insights into the structural and stratigraphic nature of the basin.</p>\n<p>This report presents an interpretation of 41 two-dimensional seismic reflection lines, acquired by industry from the 1960s to the 1980s. Our interpretation of the seismic data focused mainly on picking two Eocene stratigraphic units and a presumed base of Tertiary horizon. Based on our interpretation of the seismic data, the structural features in the basin appear to be generally contractional, as evidenced by the presence of many reverse faults, thrust faults, and folds, with the contraction mainly oriented east-west. This result is contrary to prior inferences of most previous geologic studies that showed normal faults. Several regional reverse faults have been identified in the seismic data and appear to divide the basin into three regions or &ldquo;sides&rdquo;: east, west, and south.</p>\n<p>The eastern seismic lines show evidence of numerous short-wavelength antiforms that appear to correspond to a series of northeast-trending lineations observed in aeromagnetic data, which have been interpreted as being due to folding of Paleogene volcanic strata. The eastern side of the basin is also cut by a number of reverse faults and thrust faults, the majority of which strike north-south. The western side of the Susitna Basin is cut by a series of regional reverse faults and is characterized by synformal structures in two fault blocks between the Kahiltna River and Skwentna faults. These synforms are progressively deeper to the west in the footwalls of the east-vergent Skwentna and northeast-vergent Beluga Mountain reverse faults. Although the seismic data are limited to the south, we interpret a potential regional south-southeast-directed reverse fault striking east-northeast on the east side of the basin that may cross the entire southern portion of the basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151138","usgsCitation":"Lewis, K.A., Potter, C.J., Shah, A.K., Stanley, R.G., Haeussler, P.J., and Saltus, R.W., 2015, Preliminary interpretation of industry two-dimensional seismic data from Susitna Basin, south-central Alaska: U.S. Geological Survey Open-File Report 2015–1138, 51 p., https://dx.doi.org/10.3133/ofr20151138.","productDescription":"Report: iv, 51 p.; Figures","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066228","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":306210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1138/coverthb.jpg"},{"id":306211,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1138/ofr20151138.pdf","text":"Report","size":"17.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1138"},{"id":306217,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1138/downloads","text":"Full-size, high-resolution figures"}],"country":"United States","state":"Alaska","otherGeospatial":"Susitna Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.6552734375,\n              61.12201916813026\n            ],\n            [\n              -151.6552734375,\n              62.24746627771428\n            ],\n            [\n              -149.0625,\n              62.24746627771428\n            ],\n            [\n              -149.0625,\n              61.12201916813026\n            ],\n            [\n              -151.6552734375,\n              61.12201916813026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Central Energy Science Center<br /> U.S. Geological Survey<br /> P.O. Box 25046<br /> Denver, CO 80225<br /><a href=\"http://energy.usgs.gov/\">http://energy.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Discussion</li>\n<li>Summary</li>\n<li>Acknowledgment</li>\n<li>References Cited</li>\n<li>Figures</li>\n</ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-07-30","noUsgsAuthors":false,"publicationDate":"2015-07-30","publicationStatus":"PW","scienceBaseUri":"57f7eee1e4b0bc0bec09ed70","contributors":{"authors":[{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":565275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":565276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":565277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":565278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":565279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saltus, Richard W. saltus@usgs.gov","contributorId":777,"corporation":false,"usgs":true,"family":"Saltus","given":"Richard","email":"saltus@usgs.gov","middleInitial":"W.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":565280,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198333,"text":"70198333 - 2015 - Potential for real‐time understanding of coupled hydrologic and biogeochemical processes in stream ecosystems: Future integration of telemetered data with process models for glacial meltwater streams","interactions":[],"lastModifiedDate":"2021-04-07T13:54:57.888253","indexId":"70198333","displayToPublicDate":"2015-07-30T15:30:13","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Potential for real‐time understanding of coupled hydrologic and biogeochemical processes in stream ecosystems: Future integration of telemetered data with process models for glacial meltwater streams","docAbstract":"<p><span>While continuous monitoring of streamflow and temperature has been common for some time, there is great potential to expand continuous monitoring to include water quality parameters such as nutrients, turbidity, oxygen, and dissolved organic material. In many systems, distinguishing between watershed and stream ecosystem controls can be challenging. The usefulness of such monitoring can be enhanced by the application of quantitative models to interpret observed patterns in real time. Examples are discussed primarily from the glacial meltwater streams of the McMurdo Dry Valleys, Antarctica. Although the Dry Valley landscape is barren of plants, many streams harbor thriving cyanobacterial mats. Whereas a daily cycle of streamflow is controlled by the surface energy balance on the glaciers and the temporal pattern of solar exposure, the daily signal for biogeochemical processes controlling water quality is generated along the stream. These features result in an excellent outdoor laboratory for investigating fundamental ecosystem process and the development and validation of process‐based models. As part of the McMurdo Dry Valleys Long‐Term Ecological Research project, we have conducted field experiments and developed coupled biogeochemical transport models for the role of hyporheic exchange in controlling weathering reactions, microbial nitrogen cycling, and stream temperature regulation. We have adapted modeling approaches from sediment transport to understand mobilization of stream biomass with increasing flows. These models help to elucidate the role of in‐stream processes in systems where watershed processes also contribute to observed patterns, and may serve as a test case for applying real‐time stream ecosystem models.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017618","usgsCitation":"McKnight, D.M., Cozzetto, K.D., Cullis, J.D., Gooseff, M.N., Jaros, C., Koch, J.C., Lyons, W.B., Neupauer, R.M., and Wlostowski, A.N., 2015, Potential for real‐time understanding of coupled hydrologic and biogeochemical processes in stream ecosystems: Future integration of telemetered data with process models for glacial meltwater streams: Water Resources Research, v. 51, no. 8, p. 6725-6738, https://doi.org/10.1002/2015WR017618.","productDescription":"14 p.","startPage":"6725","endPage":"6738","ipdsId":"IP-066061","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017618","text":"Publisher Index Page"},{"id":356008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"McMurdo Dry Valleys, Antarctica","volume":"51","issue":"8","noUsgsAuthors":false,"publicationDate":"2015-08-30","publicationStatus":"PW","scienceBaseUri":"5b6fcbc1e4b0f5d57878ecbe","contributors":{"authors":[{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":741115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzetto, Karen D.","contributorId":44461,"corporation":false,"usgs":true,"family":"Cozzetto","given":"Karen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":741116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cullis, James D. S.","contributorId":206559,"corporation":false,"usgs":false,"family":"Cullis","given":"James","email":"","middleInitial":"D. S.","affiliations":[],"preferred":false,"id":741117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooseff, Michael N.","contributorId":71880,"corporation":false,"usgs":true,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":741118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaros, Christopher","contributorId":206566,"corporation":false,"usgs":false,"family":"Jaros","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":741119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, W. Berry","contributorId":73497,"corporation":false,"usgs":true,"family":"Lyons","given":"W.","email":"","middleInitial":"Berry","affiliations":[],"preferred":false,"id":741121,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Neupauer, Roseanna M.","contributorId":176580,"corporation":false,"usgs":false,"family":"Neupauer","given":"Roseanna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741122,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wlostowski, Adam N. 0000-0001-5703-9916","orcid":"https://orcid.org/0000-0001-5703-9916","contributorId":191365,"corporation":false,"usgs":false,"family":"Wlostowski","given":"Adam","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":741123,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70154777,"text":"sir20155094 - 2015 - Towards automating measurements and predictions of <i>Escherichia coli</i> concentrations in the Cuyahoga River, Cuyahoga Valley National Park, Ohio, 2012–14","interactions":[],"lastModifiedDate":"2015-07-31T09:07:59","indexId":"sir20155094","displayToPublicDate":"2015-07-30T15:15:00","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":"2015-5094","title":"Towards automating measurements and predictions of <i>Escherichia coli</i> concentrations in the Cuyahoga River, Cuyahoga Valley National Park, Ohio, 2012–14","docAbstract":"<p>Nowcasts are systems that can provide estimates of the current bacterial water-quality conditions based on predictive models using easily-measured, explanatory variables; nowcasts can provide the public with the information to make informed decisions on the risk associated with recreational activities in natural water bodies. Previous studies on the Cuyahoga River within Cuyahoga Valley National Park (CVNP) have found that predictive models can be used to provide accurate assessments of the recreational water quality. However, in order to run the previously developed nowcasts for CVNP, manual collection and processing of samples is required on a daily basis to acquire the required explanatory variable data (laboratory-measured turbidity). The U.S. Geological Survey and the National Park Service collaborated to develop a more automated approach to provide more timely results to park visitors regarding the recreational water quality of the river.</p>\n<p>In May 2012, an in-stream water-quality sensor was installed by the U.S. Geological Survey at Jaite, Ohio (a site centrally located in CVNP on the Cuyahoga River), to provide near-real-time measurements of turbidity and water temperature. To transition from methods used during previous studies at CVNP, a relation between laboratory- and in-stream measured turbidity was developed after the recreational season of 2012. During the recreational seasons of 2012 through 2014, discrete water samples were collected and processed to determine <i>Escherichia coli</i> (<i>E. coli</i>) concentrations at Jaite and one site upstream of Jaite (Lock 29) within CVNP. Predictive models, using in-stream turbidity measurements, were developed for the recreational seasons of 2013 and 2014 to estimate recreational water quality in regards to Ohio&rsquo;s single-sample water-quality standard for primary-contact recreation.</p>\n<p>A computer program was developed to manage the nowcasts by running the predictive models and posting the results to a publicly accessible Web site daily by 9 a.m. The nowcasts were able to correctly predict <i>E. coli</i> concentrations above or below the water-quality standard at Jaite for 79 percent of the samples compared with the measured concentrations. In comparison, the persistence model (using the previous day&rsquo;s sample concentration) correctly predicted concentrations above or below the water-quality standard in only 68 percent of the samples. To determine if the Jaite nowcast could be used for the stretch of the river between Lock 29 and Jaite, the model predictions for Jaite were compared with the measured concentrations at Lock 29. The Jaite nowcast provided correct responses for 77 percent of the Lock 29 samples, which was a greater percentage than the percentage of correct responses (58 percent) from the persistence model at Lock 29.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155094","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brady, A.M.G., and Plona, M.B., 2015, Towards automating measurements and predictions of <em>Escherichia coli</em> concentrations in the Cuyahoga River, Cuyahoga Valley National Park, Ohio, 2012–14: U.S. Geological Survey Scientific Investigations Report 2015–5094, 30 p., https://dx.doi.org/10.3133/sir20155094.","productDescription":"vii, 30 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061449","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":306249,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5094/coverthb.jpg"},{"id":306250,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5094/sir20155094.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5094"}],"country":"United States","state":"Ohio","otherGeospatial":"Cuyahoga Valley National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.76025390625,\n              41.08763212467916\n            ],\n            [\n              -81.76025390625,\n              41.50034959128928\n            ],\n            [\n              -81.49658203125,\n              41.50034959128928\n            ],\n            [\n              -81.49658203125,\n              41.08763212467916\n            ],\n            [\n              -81.76025390625,\n              41.08763212467916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Ohio Water Science Center<br /> 6480 Doubletree Ave<br /> Columbus, OH 43229&ndash;1111<br /> (614) 430&ndash;7777<br /> <a href=\"http://oh.water.usgs.gov/\">http://oh.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Study Area</li>\n<li>Methods</li>\n<li>Comparison of Laboratory-Measured and In-Stream Turbidity</li>\n<li>Comparison of <em>Escherichia coli</em> Enumeration Methods</li>\n<li>Quality-Control Sample Results</li>\n<li>Afternoon Samples</li>\n<li><em>Escherichia coli</em> Concentrations and Environmental and Water-Quality Variables</li>\n<li>Development and Testing of Nowcasts Using Near-Real-Time Data at Jaite</li>\n<li>Using Jaite Nowcasts To Predict Water Quality at Lock 29</li>\n<li>Reaching the Public</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix 1</li>\n</ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-07-30","noUsgsAuthors":false,"publicationDate":"2015-07-30","publicationStatus":"PW","scienceBaseUri":"57f7eee1e4b0bc0bec09ed72","contributors":{"authors":[{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meg B. Plona","contributorId":145464,"corporation":false,"usgs":false,"family":"Meg B. Plona","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":564114,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159104,"text":"70159104 - 2015 - Examining spectral variations in localized lunar dark mantle deposits","interactions":[],"lastModifiedDate":"2019-02-11T13:58:45","indexId":"70159104","displayToPublicDate":"2015-07-29T18:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Examining spectral variations in localized lunar dark mantle deposits","docAbstract":"<p><span>The localized lunar dark mantle deposits (DMDs) in Alphonsus, J. Herschel, and Oppenheimer craters were analyzed using visible-near-infrared spectroscopy data from the Moon Mineralogy Mapper. Spectra of these localized DMDs were analyzed for compositional and mineralogical variations within the deposits and were compared with nearby mare basalt units. Spectra of the three localized DMDs exhibited mafic absorption features indicating iron-rich compositions, although the DMDs were spectrally distinct from nearby mare basalts. All of the DMDs contained spectral signatures of glassy materials, suggesting the presence of volcanic glass in varying concentrations across the individual deposits. In addition, the albedo and spectral signatures were variable within the Alphonsus and Oppenheimer crater DMDs, suggesting variable deposit thickness and/or variations in the amount of mixing with the local substrate. Two previously unidentified localized DMDs were discovered to the northeast of Oppenheimer crater. The identification of high concentrations of volcanic glass in multiple localized DMDs in different locations suggests that the distribution of volcanic glass across the lunar surface is much more widespread than has been previously documented. The presence of volcanic glass implies an explosive, vulcanian eruption style for localized DMDs, as this allows volcanic glass to rapidly quench, inhibiting crystallization, compared to the larger hawaiian-style eruptions typical of regional DMD emplacement where black beads indicate a higher degree of crystallization. Improved understanding of the local and global distributions of volcanic glass in lunar DMDs will further constrain lunar degassing and compositional evolution throughout lunar volcanic history.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014JE004759","usgsCitation":"Jawin, E., Besse, S., Gaddis, L.R., Sunshine, J., Head, J.W., and Mazrouei, S., 2015, Examining spectral variations in localized lunar dark mantle deposits: Journal of Geophysical Research E: Planets, v. 120, no. 7, p. 1310-1331, https://doi.org/10.1002/2014JE004759.","productDescription":"22 p.","startPage":"1310","endPage":"1331","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061059","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014je004759","text":"Publisher Index Page"},{"id":310035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"120","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-29","publicationStatus":"PW","scienceBaseUri":"56261464e4b0fb9a11dd7620","contributors":{"authors":[{"text":"Jawin, Erica","contributorId":149242,"corporation":false,"usgs":false,"family":"Jawin","given":"Erica","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":577603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Besse, Sebastien","contributorId":149243,"corporation":false,"usgs":false,"family":"Besse","given":"Sebastien","email":"","affiliations":[{"id":17687,"text":"ESTEC","active":true,"usgs":false}],"preferred":false,"id":577604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":577602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sunshine, Jessica M.","contributorId":149244,"corporation":false,"usgs":false,"family":"Sunshine","given":"Jessica","middleInitial":"M.","affiliations":[{"id":17688,"text":"Univ. Maryland","active":true,"usgs":false}],"preferred":false,"id":577605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Head, James W.","contributorId":70772,"corporation":false,"usgs":false,"family":"Head","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7002,"text":"Department of Earth, Environmental, and Planetary Sciences, Brown University","active":true,"usgs":false}],"preferred":false,"id":577814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazrouei, Sara","contributorId":149245,"corporation":false,"usgs":false,"family":"Mazrouei","given":"Sara","email":"","affiliations":[{"id":17687,"text":"ESTEC","active":true,"usgs":false}],"preferred":false,"id":577606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148634,"text":"sim3335 - 2015 - Geologic Map of Baranof Island, southeastern Alaska","interactions":[],"lastModifiedDate":"2016-05-06T11:24:06","indexId":"sim3335","displayToPublicDate":"2015-07-29T13:00:00","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":"3335","title":"Geologic Map of Baranof Island, southeastern Alaska","docAbstract":"<p><span>This map updates the geology of Baranof Island based on fieldwork, petrographic analyses, paleontologic ages, and isotopic ages. These new data provide constraints on depositional and metamorphic ages of lithostratigraphic rock units and the timing of structures that separate them. Kinematic analyses and thermobarometric calculations provide insights on the regional tectonic processes that affected the rocks on Baranof Island. The rocks on Baranof Island are components of a Paleozoic to Early Tertiary oceanic volcanic arc complex, including sedimentary and volcanic rocks that were deposited on and adjacent to the arc complex, deformed, and accreted. The arc complex consists of greenschist to amphibolite facies Paleozoic metavolcanic and metasedimentary rocks overlain by lower-grade Triassic metasedimentary and metavolcanic rocks and intruded by Jurassic calc-alkaline plutons. The Paleozoic rocks correlate well in age and lithology with rocks of the Sicker and Buttle Lake Groups of the Wrangellia terrane on Vancouver Island and differ from rocks of the Skolai Group that constitute basement to type-Wrangellia in the Wrangell Mountains. The Jurassic intrusive rocks are correlative with plutons that intrude the Wrangellia terrane on Vancouver Island but are lacking in the Wrangell Mountains. The rocks accreted beneath the arc complex are referred to as the Baranof Accretionary Complex in this report and are correlated with the Chugach Accretionary Complex of southern and southeastern Alaska and with the Pacific Rim Complex on Vancouver Island. Stratigraphic correlations between upper- and lower-plate rocks on Baranof Island and western Chichagof Island with rocks on Haida Gwaii and Vancouver Island, in addition to correlative ages of intrusive rocks and restorations of the Fairweather-Queen Charlotte, Chatham Strait, and Peril Strait Faults that define the Baranof-Chichagof block, suggest Baranof Island was near Vancouver Island at the time of initiation of arc magmatism in the Early Jurassic. Early Eocene plutons that intruded the accretionary complex outboard of the arc on Baranof Island are attributed to anatectic melting of trench sediments resulting from subduction of a spreading center. Oligocene intrusive rocks on Baranof Island correlate in age and composition with intrusive rocks in the Kano Plutonic Suite on Haida Gwaii, and similar magmatic sources are inferred.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3335","usgsCitation":"Karl, S.M., Haeussler, P.J., Himmelberg, G.R., Zumsteg, C.L., Layer, P.W., Friedman, R.M., Roeske, S.M., and Snee, L., 2015, Geologic Map of Baranof Island, southeastern Alaska: U.S. Geological Survey Scientific Investigations Map 3335, Pamphlet: iv, 82 p.; Map Sheet: 36 x 43.63 inches; Map GIS; 2 Tables, https://doi.org/10.3133/sim3335.","productDescription":"Pamphlet: iv, 82 p.; Map Sheet: 36 x 43.63 inches; Map GIS; 2 Tables","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052072","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":306242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3335.gif"},{"id":306237,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3335/pdf/sim3335_pamphlet.pdf","text":"Pamphlet","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Pamplet"},{"id":306236,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3335/"},{"id":306239,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3335/downloads/sim3335_GIS.zip","text":"Map GIS","size":"14.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"Map GIS","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."},{"id":306240,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3335/downloads/sim3335_table_1.xls","text":"Table 1","size":"47 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 1","linkHelpText":"Geochronologic data for the Geologic Map of Baranof Island, Southeastern Alaska"},{"id":306241,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3335/downloads/sim3555_table_4.xls","text":"Table 4","size":"28 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 4","linkHelpText":"Geochemical data for the Geologic Map of Baranof Island, Southestern Alaska"},{"id":306238,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3335/pdf/sim3335_map.pdf","text":"Map Sheet","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Map Sheet"}],"country":"United States","state":"Alaska","otherGeospatial":"Baranof Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -134.6484375,\n              56.16696465022672\n            ],\n            [\n              -134.6209716796875,\n              56.610908593846574\n            ],\n            [\n              -134.659423828125,\n              56.80087831233043\n            ],\n            [\n              -134.7967529296875,\n              57.192831746793885\n            ],\n            [\n              -134.8516845703125,\n              57.28794964521751\n            ],\n            [\n              -134.7857666015625,\n              57.33245172397403\n            ],\n            [\n              -134.835205078125,\n              57.4242521087973\n            ],\n            [\n              -134.9395751953125,\n              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Minerals","active":true,"usgs":true}],"preferred":true,"id":566687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":566688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Himmelberg, Glen R.","contributorId":57921,"corporation":false,"usgs":true,"family":"Himmelberg","given":"Glen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":566689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zumsteg, Cathy L.","contributorId":141226,"corporation":false,"usgs":false,"family":"Zumsteg","given":"Cathy","email":"","middleInitial":"L.","affiliations":[{"id":13719,"text":"Department of Geology, University of Missouri","active":true,"usgs":false}],"preferred":false,"id":566690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Layer, Paul W.","contributorId":59483,"corporation":false,"usgs":true,"family":"Layer","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":566691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedman, Richard M.","contributorId":141227,"corporation":false,"usgs":false,"family":"Friedman","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13720,"text":"Department of Earth and Ocean Sciences University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":566692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roeske, Sarah M.","contributorId":141228,"corporation":false,"usgs":false,"family":"Roeske","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":13721,"text":"Department of Geology, University of Califorina Davis","active":true,"usgs":false}],"preferred":false,"id":566693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snee, Lawrence W.","contributorId":81534,"corporation":false,"usgs":true,"family":"Snee","given":"Lawrence W.","affiliations":[],"preferred":false,"id":566694,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70148489,"text":"sir20155078 - 2015 - Hydrogeology of the Susquehanna River valley-fill aquifer system in the Endicott-Vestal area of southwestern Broome County, New York","interactions":[],"lastModifiedDate":"2015-08-07T15:52:11","indexId":"sir20155078","displayToPublicDate":"2015-07-29T12:45:00","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":"2015-5078","title":"Hydrogeology of the Susquehanna River valley-fill aquifer system in the Endicott-Vestal area of southwestern Broome County, New York","docAbstract":"<p>The village of Endicott, New York, and the adjacent town of Vestal have historically used groundwater from the Susquehanna River valley-fill aquifer system for municipal water supply, but parts of some aquifers in this urban area suffer from legacy contamination from varied sources. Endicott would like to identify sites distant from known contamination where productive aquifers could supply municipal wells with water that would not require intensive treatment. The distribution or geometry of aquifers within the Susquehanna River valley fill in western Endicott and northwestern Vestal are delineated in this report largely on the basis of abundant borehole data that have been compiled in a table of well records.</p>\n<p>Early in deglaciation, meltwater deposited sand and gravel in channels within or beneath the decaying ice and as narrow terraces along the valley walls. These ice-contact deposits vary widely over short distances from clean (free of silt) and highly permeable to clogged with silt and poorly permeable, but collectively constitute the principal aquifers in Endicott and Vestal. Some ice-contact deposits form a buried ridge, deposited in a meltwater channel within the ice sheet, that approximately underlies the Susquehanna River and (or) its north bank from Endwell westward to Nanticoke Creek and has been tapped by several municipal and industrial wells. Similar but thinner ice-contact deposits discontinuously underlie the valley floor to the south in Vestal, and a smaller buried ridge of ice-contact deposits is likely beneath or west of Nanticoke Creek south of West Corners.</p>\n<p>As deglaciation continued, a large lake developed; thick deposits of gray silt with red clay layers are continuous north of the Susquehanna River from Endwell to West Endicott, and similar deposits are present discontinuously elsewhere. Late in deglaciation, meltwater deposited highly permeable pebbly sand atop the valley fill, generally atop lacustrine silt. The saturated thickness of this surficial sand is seldom great enough to support large-capacity wells, but where it directly overlies ice-contact deposits it facilitates recharge from precipitation and infiltration of river water to the deeper aquifers.</p>\n<p>Three localities in Endicott were identified where thick ice-contact deposits capable of supporting municipal supply wells are documented by test wells or extrapolated to be present from nearby data and depositional history. Chemical analyses of water samples disclosed no contaminants in these localities when sampled, but the presence of contaminants or natural high iron a few thousand feet away from each locality is documented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155078","collaboration":"Prepared in cooperation with the Village of Endicott, New York","usgsCitation":"Randall, A.D., and Kappel, W.M., 2015, Hydrogeology of the Susquehanna River valley-fill aquifer system in the Endicott-Vestal area of southwestern Broome County, New York: U.S. Geological Survey Scientific Investigations Report 2015–5078, 28 p. plus appendixes, https://dx.doi.org/10.3133/sir20155078.","productDescription":"Report: v, 28 p.; 5 Figures: 18.14 inches x 8 inches or smaller; 3 Appendices","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061721","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":305920,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_fig02.pdf","text":"Figure 2 - Location of sampling and monitoring sites (42\"x32\")","size":"3.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Location of sampling and monitoring sites"},{"id":305921,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_fig06A.pdf","text":"Figure 6A - Geologic section A–A′  (9.5\"x6.5\")","size":"512 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Geologic section A–A′"},{"id":305919,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5078/sir20155078.pdf","text":"Report","size":"3.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5078"},{"id":305918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5078/coverthb.jpg"},{"id":305926,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_appendix1.xlsx","text":"Appendix 1 - Record of wells and test holes (for viewing as a broad spreadsheet)","size":"77 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Record of wells and test holes"},{"id":305922,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_fig06B.pdf","text":"Figure 6B - Geologic section B–B′ (14\"x8\")","size":"511 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Geologic section B–B′"},{"id":305923,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_fig06C.pdf","text":"Figure 6C - Geologic section C–C′ (16.9\"x7.58\")","size":"217 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Geologic section C–C′"},{"id":305924,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_fig06D.pdf","text":"Figure 6D - Geologic section D–D′  (18.14\"x7.5\")","size":"257 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Geologic section D–D′"},{"id":305925,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_appendix1.pdf","text":"Appendix 1  - For printing as 8 1/2 x 11 pages","size":"91 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Record of wells and test holes"},{"id":305927,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_appendix2.kmz","text":"Appendix 2 - Records of wells and test holes (for viewing as a Google Earth map with well sites, and with tabulated well records available)","size":"47 KB kmz","description":"Map of wells and test holes"},{"id":305928,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_appendix4.pdf","text":"Appendix 4 -  For Printing as 8 1/2 x 11 pages","size":"98 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Physical and chemical properties of water samples"},{"id":305929,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5078/attachments/sir20155078_appendix4.xlsx","text":"Appendix 4 - Physical and chemical properties of water samples -  for viewing as a broad spreadsheet","size":"22 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Physical and chemical properties of water samples"}],"country":"United States","state":"New York","county":"Broome County","otherGeospatial":"Susquehanna River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.11122131347656,\n              42.068410320563785\n            ],\n            [\n              -76.11122131347656,\n              42.10892077045022\n            ],\n            [\n              -76.04942321777342,\n              42.10892077045022\n            ],\n            [\n              -76.04942321777342,\n              42.068410320563785\n            ],\n            [\n              -76.11122131347656,\n              42.068410320563785\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>U.S. Geological Survey<br /> 30 Brown Road<br /> Ithaca, NY 14850<br /> Information requests:<br /> (518) 285-5602<br /> or visit our Web site at:<br /> <a href=\"http://ny.water.usgs.gov\">http://ny.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Data Collection</li>\n<li>Hydrogeologic Setting</li>\n<li>Aquifer Geometry in the Susquehanna River Valley-Fill Aquifer System</li>\n<li>Sources of Recharge</li>\n<li>Groundwater Levels</li>\n<li>Water Quality</li>\n<li>Prospects for Municipal Wells in Western Endicott</li>\n<li>Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendix 1. Tabulated Records of Wells and Test Holes in the Susquehanna River Valley-Fill Aquifer System, Southwestern Broome County, New York</li>\n<li>Appendix 2. Map of Records of Wells and Test Holes in the Susquehanna River Valley-Fill Aquifer System, Southwestern Broome County, New York</li>\n<li>Appendix 3. Detailed Logs by U.S. Geological Survey Personnel of Sediments Penetrated by Test Holes in the Susquehanna River Valley Fill, Southwestern Broome County, New York</li>\n<li>Appendix 4. Physical and Chemical Properties of Water Samples from the Susquehanna River Valley-Fill Aquifer System, and from the Susquehanna River Near Endicott, New York</li>\n</ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2015-07-29","noUsgsAuthors":false,"publicationDate":"2015-07-29","publicationStatus":"PW","scienceBaseUri":"57f7eee1e4b0bc0bec09ed78","contributors":{"authors":[{"text":"Randall, Allan D. arandall@usgs.gov","contributorId":1168,"corporation":false,"usgs":true,"family":"Randall","given":"Allan","email":"arandall@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548406,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155079,"text":"70155079 - 2015 - Effects of increased discharge on spawning and age-0 recruitment of rainbow trout in the Colorado River at Lees Ferry, Arizona","interactions":[],"lastModifiedDate":"2016-06-01T11:57:44","indexId":"70155079","displayToPublicDate":"2015-07-29T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of increased discharge on spawning and age-0 recruitment of rainbow trout in the Colorado River at Lees Ferry, Arizona","docAbstract":"<p><span>Negative interactions of Rainbow Trout&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;with endangered Humpback Chub&nbsp;</span><i>Gila cypha</i><span>&nbsp;pose challenges to the operation of Glen Canyon Dam (GCD) to manage for both species in the Colorado River. Operations to enhance the Rainbow Trout tailwater fishery may lead to an increase in downstream movement of the trout to areas where they are likely to interact with Humpback Chub. We evaluated the effects of dam operations on age-0 Rainbow Trout in the tailwater fishery to inform managers about how GCD operations could benefit a tailwater fishery for Rainbow Trout; although this could affect a Humpback Chub population farther downstream. A near year-long increase in discharge at GCD in 2011 enabled us to evaluate whether high and stable flows led to increased spawning and production of age-0 Rainbow Trout compared with other years. Rainbow Trout spawning was monitored by fitting a model to observed redd counts to estimate the number of redds created over a spawning season. Data collected during electrofishing trips in July&ndash;September and November were used to acquire age-0 trout population and mortality rate estimates. We found that high and stable flows in 2011 resulted in 3,062 redds (1.7&nbsp;times the mean of all survey years) and a population estimate of 686,000 age-0 Rainbow Trout (second highest on record). Despite high initial abundance, mortality remained low through the year (0.0043%/d) resulting in significant recruitment with a record high November population estimate of 214,000 age-0 Rainbow Trout. Recent monitoring indicates this recruitment event was followed by an increase in downstream migration, which may lead to increased interactions with downstream populations of Humpback Chub. Consequently, while our results indicate that manipulating flow at GCD can be used to manage Rainbow Trout spawning and recruitment, fisheries managers should use flow manipulation in moderation to minimize downstream migration in order to reduce negative interactions with other species in the Colorado River.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1040560","usgsCitation":"Avery, L.A., Korman, J., and Persons, W.R., 2015, Effects of increased discharge on spawning and age-0 recruitment of rainbow trout in the Colorado River at Lees Ferry, Arizona: North American Journal of Fisheries Management, v. 35, no. 4, p. 671-680, https://doi.org/10.1080/02755947.2015.1040560.","productDescription":"10 p.","startPage":"671","endPage":"680","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057903","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":306223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Lees Ferry","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.61680221557617,\n              36.84597184882088\n            ],\n            [\n              -111.61680221557617,\n              36.87357865470466\n            ],\n            [\n              -111.56049728393555,\n              36.87357865470466\n            ],\n            [\n              -111.56049728393555,\n              36.84597184882088\n            ],\n            [\n              -111.61680221557617,\n              36.84597184882088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-09","publicationStatus":"PW","scienceBaseUri":"55b9eb1ee4b05b91f6398b35","contributors":{"authors":[{"text":"Avery, Luke A. lavery@usgs.gov","contributorId":4340,"corporation":false,"usgs":true,"family":"Avery","given":"Luke","email":"lavery@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":564779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":564780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Persons, William R. wpersons@usgs.gov","contributorId":4028,"corporation":false,"usgs":true,"family":"Persons","given":"William","email":"wpersons@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":564781,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155132,"text":"70155132 - 2015 - Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation","interactions":[],"lastModifiedDate":"2015-07-29T15:48:16","indexId":"70155132","displayToPublicDate":"2015-07-29T04:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation","docAbstract":"<p>Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of uncertainty associated with model outputs. We present an integrated methodology to assess the propagation of uncertainty from both inputs and structure of the HSI models on model outputs (uncertainty analysis: UA) and relative importance of uncertain model inputs and their interactions on the model output uncertainty (global sensitivity analysis: GSA). We illustrate the GSA/UA framework using simulated hydrology input data from a hydrodynamic model representing sea level changes and HSI models for two species of submerged aquatic vegetation (SAV) in southwest Everglades National Park: Vallisneria americana (tape grass) and Halodule wrightii (shoal grass). We found considerable spatial variation in uncertainty for both species, but distributions of HSI scores still allowed discrimination of sites with good versus poor conditions. Ranking of input parameter sensitivities also varied spatially for both species, with high habitat quality sites showing higher sensitivity to different parameters than low-quality sites. HSI models may be especially useful when species distribution data are unavailable, providing means of exploiting widely available environmental datasets to model past, current, and future habitat conditions. The GSA/UA approach provides a general method for better understanding HSI model dynamics, the spatial and temporal variation in uncertainties, and the parameters that contribute most to model uncertainty. Including an uncertainty and sensitivity analysis in modeling efforts as part of the decision-making framework will result in better-informed, more robust decisions.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1520","usgsCitation":"Zajac, Z., Stith, B., Bowling, A.C., Langtimm, C.A., and Swain, E.D., 2015, Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation: Ecology and Evolution, v. 5, no. 13, p. 2503-2517, https://doi.org/10.1002/ece3.1520.","productDescription":"15 p.","startPage":"2503","endPage":"2517","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053424","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1520","text":"Publisher Index Page"},{"id":306252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.36474609375,\n              25.090573819461\n            ],\n            [\n              -81.36474609375,\n              25.84439325019514\n            ],\n            [\n              -80.8154296875,\n              25.84439325019514\n            ],\n            [\n              -80.8154296875,\n              25.090573819461\n            ],\n            [\n              -81.36474609375,\n              25.090573819461\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"13","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b9eb1ee4b05b91f6398b37","chorus":{"doi":"10.1002/ece3.1520","url":"http://dx.doi.org/10.1002/ece3.1520","publisher":"Wiley-Blackwell","authors":"Zajac Zuzanna, Stith Bradley, Bowling Andrea C., Langtimm Catherine A., Swain Eric D.","journalName":"Ecology and Evolution","publicationDate":"6/1/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Zajac, Zuzanna","contributorId":145637,"corporation":false,"usgs":false,"family":"Zajac","given":"Zuzanna","email":"","affiliations":[{"id":16181,"text":"University of Florida, Department of Agriculture and Biological Engineering","active":true,"usgs":false}],"preferred":false,"id":564855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":564856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowling, Andrea C.","contributorId":43615,"corporation":false,"usgs":true,"family":"Bowling","given":"Andrea","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":564857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":564854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155300,"text":"sir20155109 - 2015 - Water-quality conditions and suspended-sediment transport in the Wilson and Trask Rivers, northwestern Oregon, water years 2012–14","interactions":[],"lastModifiedDate":"2019-12-30T14:33:12","indexId":"sir20155109","displayToPublicDate":"2015-07-28T20:45:00","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":"2015-5109","title":"Water-quality conditions and suspended-sediment transport in the Wilson and Trask Rivers, northwestern Oregon, water years 2012–14","docAbstract":"<p class=\"p1\">In October 2011, the U.S. Geological Survey began investigating and monitoring water-quality conditions and suspended-sediment transport in the Wilson and Trask Rivers, northwestern Oregon. Water temperature, specific conductance, turbidity, and dissolved oxygen were measured every 15&ndash;30 minutes in both streams using real-time instream water-quality monitors. In conjunction with the monitoring effort, suspended-sediment samples were collected and analyzed to model the amount of suspended sediment being transported by each river. Over the course of the 3-year study, which ended in September 2014, nearly 600,000 tons (t) of suspended-sediment material entered Tillamook Bay from these two tributaries.&nbsp;</p>\n<p class=\"p1\">Each year of the study, the Wilson River transported between 80,300 and 240,000 t of suspended sediment, while the Trask River contributed between 28,200 and 69,900 t. The suspended-sediment loads observed during the study were relatively small because streamflow conditions were routinely lower than normal between October 2011 and September 2014. Only one storm had a recurrence interval between a 2- and 5-year event. Every other storm produced streamflows equivalent to what would be classified as a 1- or 2-year event. Because most sediment moves during high flows, the lack of heavy rainfall and elevated streamflows muted any high sediment loads.</p>\n<p class=\"p1\">Along with assessing suspended-sediment transport, the U.S. Geological Survey also monitored instream water quality. This monitoring was used to track instream conditions and relate them to water temperature, dissolved oxygen, and sedimentation issues for the Wilson and Trask Rivers. Stream temperatures in the Wilson and Trask Rivers exceeded the temperature standard for cold-water habitat. Water temperatures at both streams exceeded the standard for more than 30 percent of the year, as stream temperatures increased above the seasonal 13 degrees Celsius (&deg;C) (seasonal core cold-water habitat) and 16 &deg;C (salmon and steelhead [<i>Oncorhynchus mykiss</i>] spawning) thresholds. Conversely, dissolved oxygen concentrations rarely decreased to less than the absolute water-quality criterion of 8 milligrams per liter for cold-water streams.</p>\n<p class=\"p2\">Results from this study will provide resource managers insight into the seasonality of water-quality conditions and the extent of suspended-sediment transport in the Wilson and Trask Rivers. The data are useful for establishing a baseline and for maintaining best-use land management practices and possibly for aiding in prioritization of restoration actions for both rivers and their respective watersheds.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155109","collaboration":"Prepared in cooperation with the Tillamook Estuaries Partnership","usgsCitation":"Sobieszczyk, Steven, Bragg, H.M., and Uhrich, M.A., 2015, Water-quality conditions and suspended-sediment transport in the Wilson and Trask Rivers, northwestern Oregon, water years 2012–14: U.S. Geological Survey Scientific Investigations Report 2015-5109, 32 p., https://dx.doi.org/10.3133/sir20155109.","productDescription":"vi, 32 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-10-01","temporalEnd":"2014-09-30","ipdsId":"IP-064609","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":306219,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5109/sir20155109.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5109"},{"id":306220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5109/coverthmb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trask River, Wilson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.77746582031249,\n              45.325116643332684\n            ],\n            [\n              -123.56597900390626,\n              45.325116643332684\n            ],\n            [\n              -123.56597900390626,\n              45.4947963896697\n            ],\n            [\n              -123.77746582031249,\n              45.4947963896697\n            ],\n            [\n              -123.77746582031249,\n              45.325116643332684\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\">Director</a>, Oregon Water Science Center<br /> U.S. Geological Survey<br /> 2130 SW 5th Avenue<br /> Portland, Oregon 97201<br /> <a href=\"http://or.water.usgs.gov\">http://or.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Data Collection</li>\n<li>Data Analysis</li>\n<li>Water-Quality Conditions and Suspended-Sediment Transport</li>\n<li>Implications for Stream Conditions for Wilson and Trask Rivers</li>\n<li>Summary and Conclusions</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendix A. Wilson River Suspended-Sediment Concentration Record</li>\n<li>Appendix B. Trask River Suspended-Sediment Concentration Record</li>\n<li>Appendix C. Troubleshooting Instream Monitors</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-07-28","noUsgsAuthors":false,"publicationDate":"2015-07-28","publicationStatus":"PW","scienceBaseUri":"57f7eee1e4b0bc0bec09ed7c","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragg, Heather M. hmbragg@usgs.gov","contributorId":428,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather M.","email":"hmbragg@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uhrich, Mark A. 0000-0002-5202-8086 mauhrich@usgs.gov","orcid":"https://orcid.org/0000-0002-5202-8086","contributorId":1149,"corporation":false,"usgs":true,"family":"Uhrich","given":"Mark","email":"mauhrich@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":565501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155518,"text":"ofr20151142 - 2015 - Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence","interactions":[],"lastModifiedDate":"2015-11-06T08:57:42","indexId":"ofr20151142","displayToPublicDate":"2015-07-28T12:30:00","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":"2015-1142","title":"Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence","docAbstract":"<h1>Introduction</h1>\n<p>On April 25, 2015, a large (<i>M</i>7.8) earthquake shook much of central Nepal and was followed by a series of<i> M</i>&gt;6 aftershocks, including a <i>M</i>7.3 event on May 12, 2015. This earthquake and aftershocks, referred to as the &ldquo;Gorkha earthquake sequence,&rdquo; caused thousands of fatalities, damaged and destroyed entire villages, and displaced millions of residents. The earthquakes also triggered thousands of landslides in the exceedingly steep topography of Nepal; these landslides were responsible for hundreds of fatalities, and blocked vital roads and trails to affected villages (fig. 1). Landslides caused by the Gorkha earthquake sequence continue to pose both immediate and long-term hazards to villages and infrastructure within the affected region. Some landslides blocked rivers and thus created another potential concern for villages located downstream.</p>\n<p>With the support of the United States Agency for International Development (USAID), Office of Foreign Disaster Assistance (OFDA), and in collaboration with earthquake-hazard organizations from both the United States (for example, U.S. National Science Foundation Geoengineering Extreme Event Reconnaissance [GEER] Team) and Nepal (International Centre for Integrated Mountain Development [ICIMOD]), the U.S. Geological Survey (USGS) responded to this crisis by providing landslide-hazard expertise to Nepalese agencies and affected villages. In addition to collaborating with an international group of remote-sensing scientists to document the spatial distribution of landsliding in the first few weeks following the earthquake, the USGS conducted in-country landslide hazard assessments for 10 days beginning May 24, 2015. Much of the information obtained by the USGS during their time in Nepal was conveyed directly to affected villages and government agencies as opportunities arose. Upon return to the United States, data organization, interpretation, and synthesis began immediately to provide a rapid assessment of landslide hazards for use by Nepalese agencies during the 2015 summer monsoon (typically occurring from June through September).</p>\n<p>This report provides a detailed account of assessments performed in May and June 2015 and focuses on valley-blocking landslides because they have the potential to pose considerable hazard to many villages in Nepal. First, we provide a seismological background of Nepal and then detail the methods used for both external and in-country data collection and interpretation. Our results consist of an overview of landsliding extent, a characterization of all valley-blocking landslides identified during our work, and a description of video resources that provide high resolution coverage of approximately 1,000 kilometers (km) of river valleys and surrounding terrain affected by the Gorkha earthquake sequence. This is followed by a description of site-specific landslide-hazard assessments conducted while in Nepal and includes detailed descriptions of five noteworthy case studies. Finally, we assess the expectation for additional landslide hazards during the 2015 summer monsoon season.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151142","usgsCitation":"Collins, B.D., and Jibson, R.W., 2015, Assessment of existing and potential landslide hazards resulting\nfrom the April 25, 2015 Gorkha, Nepal earthquake sequence (ver. 1.1, August 2015): U.S. Geological Survey Open-File Report 2015–1142, 50 p., https://dx.doi.org/10.3133/ofr20151142.","productDescription":"Report: 50 p.; Dataset; Version History","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2015-05-27","temporalEnd":"2015-06-01","ipdsId":"IP-066801","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":307369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1142/coverthb.gif"},{"id":306185,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7X928BN","text":"Video data files"},{"id":307326,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2015/1142/versionhist.txt","size":"2 kB","linkFileType":{"id":2,"text":"txt"}},{"id":306184,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1142/ofr20151142_v1.1.pdf","text":"Report Version 1.1","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1142 V 1.1 Report"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              83.60595703125,\n              29.152161283318915\n            ],\n            [\n              83.16650390625,\n              28.459033019728043\n            ],\n            [\n              84.04541015625,\n              27.449790329784214\n            ],\n            [\n              84.72656249999999,\n              27.176469131898898\n            ],\n            [\n              86.17675781249999,\n              27.15692045688088\n            ],\n            [\n              86.7041015625,\n              28.130127737874005\n            ],\n            [\n              83.935546875,\n              29.420460341013133\n            ],\n            [\n              83.60595703125,\n              29.152161283318915\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted July 28, 2015; Version 1.1: August 24, 2015","contact":"<p>Geology, Minerals, Energy, and Geophysics Science Center<br />U.S. Geological Survey<br />345 Middlefield Road, MS 901<br />Menlo Park, CA 94025-3591<br /><a href=\"http://geomaps.wr.usgs.gov/gmeg/\" target=\"_blank\">http://geomaps.wr.usgs.gov/<wbr />gmeg/</a></p>","tableOfContents":"<ul>\n<li>Introduction</li>\n<li>Seismological Background</li>\n<li>Methods</li>\n<li>Results</li>\n<li>Hazard Assessment of Selected Areas</li>\n<li>Potential Landslide Hazards Associated with the 2015 Summer Monsoon</li>\n<li>Conclusions</li>\n<li>References Cited</li>\n<li>Appendix 1. Video and Geographic Reference Files from Helicopter Reconnaissance</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-07-28","revisedDate":"2015-08-24","noUsgsAuthors":false,"publicationDate":"2015-07-28","publicationStatus":"PW","scienceBaseUri":"55b8999fe4b09a3b01b6066a","contributors":{"authors":[{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":565662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":565663,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137282,"text":"ds890 - 2015 - Lithostratigraphic, borehole-geophysical, hydrogeologic, and hydrochemical data from the East Bay Plain, Alameda County, California","interactions":[],"lastModifiedDate":"2015-07-27T09:48:06","indexId":"ds890","displayToPublicDate":"2015-07-24T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"890","title":"Lithostratigraphic, borehole-geophysical, hydrogeologic, and hydrochemical data from the East Bay Plain, Alameda County, California","docAbstract":"<p class=\"p1\">The U.S. Geological Survey, in cooperation with the East Bay Municipal Utility District, carried out an investigation of aquifer-system deformation associated with groundwater-level changes at the Bayside Groundwater Project near the modern San Francisco Bay shore in San Lorenzo, California. As a part of the Bayside Groundwater Project, East Bay Municipal Utility District proposed an aquifer storage and recovery program for 1 million gallons of water per day. The potential for aquifer-system compaction and expansion, and related subsidence, uplift, or both, resulting from aquifer storage and recovery activities were investigated and monitored in the Bayside Groundwater Project. In addition, baseline analysis of groundwater and substrata properties were performed to assess the potential effect of such activities. Chemical and physical data, obtained from the subsurface at four sites on the east side of San Francisco Bay in the San Lorenzo and San Leandro areas of the East Bay Plain, Alameda County, California, were collected during the study. The results of the study were provided to the East Bay Municipal Utility District and other agencies to evaluate the chemical and mechanical responses of aquifers underlying the East Bay Plain to the future injection and recovery of imported water from the Sierra Nevada of California.</p>\n<p class=\"p1\">Among 4 sites, 14 piezometers and 2 extensometers were installed in 6 boreholes, which ranged in depth from 460 to 1,040 feet. The lithology of drill cuttings, collected at 5- or 10-foot intervals, was described for grain size and any other noticeable features, such as wood or shell fragments. Borehole geophysical logging was performed at each site in the deepest borehole, immediately following drilling.&nbsp;</p>\n<p class=\"p1\">Drill-core samples, totaling 284 feet, were collected at the Bayside site. The drill-core sediment was subsampled to determine pore-water chemistry, vertical hydraulic conductivity, and physical and mechanical properties at different depths. Depositional environment and age were determined by luminescence geochronology and fossil identification. The elemental composition of the drill-core sediments was determined by inductively coupled plasma mass spectroscopy and instrumental neutron activation by abbreviated count analysis. Mineral composition was determined by X-ray diffraction and scanning electron microscopy analysis.&nbsp;</p>\n<p class=\"p2\">Groundwater samples were collected from all 14 piezometers as part of either the USGS Groundwater Ambient Monitoring and Assessment or the USGS National Water Quality Assessment program for water-quality analyses. Sample analytes included nutrients, major and minor ions, trace elements, isotopic ratios of hydrogen and oxygen in water, carbon-14, and tritium.&nbsp;</p>\n<p class=\"p2\">Water-level and aquifer-system-compaction measurements, which indicated diurnal and seasonal fluctuations, were made at the Bayside Groundwater Project site. Slug tests were performed at the Bayside piezometers and nine pre-existing wells to estimate hydraulic conductivity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds890","collaboration":"Prepared in cooperation with the East Bay Municipal Utility District","usgsCitation":"Sneed, M., Orlando, P., Borchers, J.W., Everett, R., Solt, M., McGann, M., Lowers, H., and Mahan, S., 2015, Lithostratigraphic, borehole-geophysical, hydrogeologic, and hydrochemical data from the East Bay Plain, Alameda County, California: U.S. Geological Survey Data Series 890, viii, 56 p., https://doi.org/10.3133/ds890.","productDescription":"viii, 56 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-012259","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":305938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0890/ds890.pdf","text":"Report","size":"6.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 890"},{"id":305937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0890/coverthb.jpg"}],"country":"United States","state":"California","county":"Alameda County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.20916748046876,\n              37.62945956107554\n            ],\n            [\n              -122.20916748046876,\n              37.70772645289049\n            ],\n            [\n              -122.0416259765625,\n              37.70772645289049\n            ],\n            [\n              -122.0416259765625,\n              37.62945956107554\n            ],\n            [\n              -122.20916748046876,\n              37.62945956107554\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p class=\"p1\">Director, U.S. Geological Survey</p>\n<p class=\"p1\">California Water Science Center</p>\n<p class=\"p1\">6000 J Street, Placer Hall</p>\n<p class=\"p2\">Sacramento, CA 95829</p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Hydrogeologic Framework</li>\n<li>Methods</li>\n<li>Results</li>\n<li>Summary</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7eee1e4b0bc0bec09ed80","contributors":{"authors":[{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, Patricia porlando@usgs.gov","contributorId":3667,"corporation":false,"usgs":true,"family":"Orlando","given":"Patricia","email":"porlando@usgs.gov","affiliations":[],"preferred":false,"id":537665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchers, James W.","contributorId":25931,"corporation":false,"usgs":true,"family":"Borchers","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":565669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solt, Michael msolt@usgs.gov","contributorId":156,"corporation":false,"usgs":true,"family":"Solt","given":"Michael","email":"msolt@usgs.gov","affiliations":[],"preferred":true,"id":537664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":2849,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537663,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":537660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":537667,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70155004,"text":"70155004 - 2015 - U.S. recreational water quality criteria: a vision for the future","interactions":[],"lastModifiedDate":"2015-07-24T10:14:54","indexId":"70155004","displayToPublicDate":"2015-07-24T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2041,"text":"International Journal of Environmental Research and Public Health","active":true,"publicationSubtype":{"id":10}},"title":"U.S. recreational water quality criteria: a vision for the future","docAbstract":"<p><span>This manuscript evaluates the U.S. Recreational Water Quality Criteria (RWQC) of 2012, based upon discussions during a conference held 11&ndash;13 March 2013, in Honolulu, Hawaii. The RWQC of 2012 did not meet expectations among the research community because key recommended studies were not completed, new data to assess risks to bathers exposed to non-point sources of fecal indicator bacteria (FIB) were not developed, and the 2012 RWQC did not show marked improvements in strategies for assessing health risks for bathers using all types of recreational waters. The development of the 2012 RWQC was limited in scope because the epidemiologic studies at beach sites were restricted to beaches with point sources of pollution and water samples were monitored for only enterococci. The vision for the future is development of effective RWQC guidelines based on epidemiologic and quantitative microbial risk assessment (QMRA) studies for sewage specific markers, as well as human enteric pathogens so that health risks for bathers at all recreational waters can be determined. The 2012 RWQC introduced a program for states and tribes to develop site-specific water quality criteria, and in theory this approach can be used to address the limitations associated with the measurements of the traditional FIB.</span></p>","language":"English","publisher":"MDPI AG","doi":"10.3390/ijerph120707752","usgsCitation":"Fujioka, R.S., Solo-Gabriele, H.M., Byappanahalli, M.N., and Kirs, M., 2015, U.S. recreational water quality criteria: a vision for the future: International Journal of Environmental Research and Public Health, v. 7, no. 12, https://doi.org/10.3390/ijerph120707752.","startPage":"7752-7776","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064818","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471929,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijerph120707752","text":"Publisher Index Page"},{"id":305944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-09","publicationStatus":"PW","scienceBaseUri":"55b353a9e4b09a3b01b5da82","contributors":{"authors":[{"text":"Fujioka, Roger S.","contributorId":72679,"corporation":false,"usgs":true,"family":"Fujioka","given":"Roger","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":564551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solo-Gabriele, Helena M.","contributorId":16871,"corporation":false,"usgs":true,"family":"Solo-Gabriele","given":"Helena","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byappanahalli, Muruleedhara N. byappan@usgs.gov","contributorId":139462,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","middleInitial":"N.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":564550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirs, Marek","contributorId":145537,"corporation":false,"usgs":false,"family":"Kirs","given":"Marek","email":"","affiliations":[{"id":16143,"text":"University of Hawaii at Manoa, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":564553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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