{"pageNumber":"1371","pageRowStart":"34250","pageSize":"25","recordCount":184743,"records":[{"id":70134312,"text":"70134312 - 2014 - Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","interactions":[],"lastModifiedDate":"2020-12-31T20:21:16.752585","indexId":"70134312","displayToPublicDate":"2014-06-27T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Aboveground allometric models for freeze-affected black mangroves (<i>Avicennia germinans</i>): Equations for a climate sensitive mangrove-marsh ecotone","title":"Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","docAbstract":"<p><span>Across the globe, species distributions are changing in response to climate change and land use change. In parts of the southeastern United States, climate change is expected to result in the poleward range expansion of black mangroves (</span><i>Avicennia germinans</i><span>) at the expense of some salt marsh vegetation. The morphology of&nbsp;</span><i>A. germinans</i><span>&nbsp;at its northern range limit is more shrub-like than in tropical climes in part due to the aboveground structural damage and vigorous multi-stem regrowth triggered by extreme winter temperatures. In this study, we developed aboveground allometric equations for freeze-affected black mangroves which can be used to quantify: (1) total aboveground biomass; (2) leaf biomass; (3) stem plus branch biomass; and (4) leaf area. Plant volume (i.e., a combination of crown area and plant height) was selected as the optimal predictor of the four response variables. We expect that our simple measurements and equations can be adapted for use in other mangrove ecosystems located in abiotic settings that result in mangrove individuals with dwarf or shrub-like morphologies including oligotrophic and arid environments. Many important ecological functions and services are affected by changes in coastal wetland plant community structure and productivity including carbon storage, nutrient cycling, coastal protection, recreation, fish and avian habitat, and ecosystem response to sea level rise and extreme climatic events. Coastal scientists in the southeastern United States can use the identified allometric equations, in combination with easily obtained and non-destructive plant volume measurements, to better quantify and monitor ecological change within the dynamic, climate sensitive, and highly-productive mangrove-marsh ecotone.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0099604","usgsCitation":"Osland, M.J., Day, R.H., Larriviere, J.C., and From, A.S., 2014, Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone: PLoS ONE, v. 9, no. 6, e99604, 7 p., https://doi.org/10.1371/journal.pone.0099604.","productDescription":"e99604, 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055156","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472921,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0099604","text":"Publisher Index Page"},{"id":296371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Port Fourchon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.7635498046875,\n              28.924035288388865\n            ],\n            [\n              -89.20074462890625,\n              28.924035288388865\n            ],\n            [\n              -89.20074462890625,\n              29.450360671054415\n            ],\n            [\n              -90.7635498046875,\n              29.450360671054415\n            ],\n            [\n              -90.7635498046875,\n              28.924035288388865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-06-27","publicationStatus":"PW","scienceBaseUri":"547ee2bae4b09357f05f8a3a","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":525842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larriviere, Jack C. jlarriviere@usgs.gov","contributorId":5839,"corporation":false,"usgs":true,"family":"Larriviere","given":"Jack","email":"jlarriviere@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":525845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70114859,"text":"70114859 - 2014 - Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact","interactions":[],"lastModifiedDate":"2014-06-27T10:01:45","indexId":"70114859","displayToPublicDate":"2014-06-27T09:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact","docAbstract":"Intentional introductions of nonindigenous fishes are increasing globally. While benefits of these introductions are easily quantified, assessments to understand the negative impacts to ecosystems are often difficult, incomplete, or absent. Grass carp (Ctenopharyngodon idella) was originally introduced to the United States as a biocontrol agent, and recent observations of wild, diploid individuals in the Great Lakes basin have spurred interest in re-evaluating its ecological risk. Here, we evaluate the ecological impact of grass carp using expert opinion and a suite of the most up-to-date analytical tools and data (ploidy assessment, eDNA surveillance, species distribution models (SDMs), and meta-analysis). The perceived ecological impact of grass carp by fisheries experts was variable, ranging from unknown to very high. Wild-caught triploid and diploid individuals occurred in multiple Great Lakes waterways, and eDNA surveillance suggests that grass carp are abundant in a major tributary of Lake Michigan. SDMs predicted suitable grass carp climate occurs in all Great Lakes. Meta-analysis showed that grass carp introductions impact both water quality and biota. Novel findings based on updated ecological impact assessment tools indicate that iterative risk assessment of introduced fishes may be warranted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0537","usgsCitation":"Wittmann, M.E., Jerde, C.L., Howeth, J.G., Maher, S.P., Deines, A., Jenkins, J.A., Whitledge, G.W., Burbank, S.B., Chadderton, W.L., Mahon, A., Tyson, J.T., Gantz, C.A., Keller, R.P., Drake, J.M., and Lodge, D.M., 2014, Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 7, p. 992-999, https://doi.org/10.1139/cjfas-2013-0537.","productDescription":"8 p.","startPage":"992","endPage":"999","numberOfPages":"8","ipdsId":"IP-045070","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2013-0537","text":"Publisher Index Page"},{"id":289125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289121,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0537"}],"country":"United States","otherGeospatial":"Great Lakes Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"71","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae76e9e4b0abf75cf2c084","contributors":{"authors":[{"text":"Wittmann, Marion E.","contributorId":66988,"corporation":false,"usgs":true,"family":"Wittmann","given":"Marion","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerde, Christopher L.","contributorId":45608,"corporation":false,"usgs":true,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howeth, Jennifer G.","contributorId":63319,"corporation":false,"usgs":true,"family":"Howeth","given":"Jennifer","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":495422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maher, Sean P.","contributorId":7998,"corporation":false,"usgs":true,"family":"Maher","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deines, Andrew M.","contributorId":94601,"corporation":false,"usgs":true,"family":"Deines","given":"Andrew M.","affiliations":[],"preferred":false,"id":495429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":495418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitledge, Gregory W.","contributorId":73110,"corporation":false,"usgs":true,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burbank, Sarah B.","contributorId":69480,"corporation":false,"usgs":true,"family":"Burbank","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chadderton, William L.","contributorId":31313,"corporation":false,"usgs":true,"family":"Chadderton","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495420,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mahon, Andrew R.","contributorId":64131,"corporation":false,"usgs":true,"family":"Mahon","given":"Andrew R.","affiliations":[],"preferred":false,"id":495423,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tyson, Jeffrey T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":495431,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gantz, Crysta A.","contributorId":105647,"corporation":false,"usgs":true,"family":"Gantz","given":"Crysta","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495432,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Keller, Reuben P.","contributorId":98637,"corporation":false,"usgs":true,"family":"Keller","given":"Reuben","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495430,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Drake, John M.","contributorId":88273,"corporation":false,"usgs":true,"family":"Drake","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495428,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lodge, David M.","contributorId":76622,"corporation":false,"usgs":false,"family":"Lodge","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":495427,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70114217,"text":"ofr20141129 - 2014 - Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kā'anapali priority study area and the State of Hawai'i Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawai'i","interactions":[],"lastModifiedDate":"2014-06-27T08:48:20","indexId":"ofr20141129","displayToPublicDate":"2014-06-27T08:36:00","publicationYear":"2014","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":"2014-1129","title":"Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kā'anapali priority study area and the State of Hawai'i Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawai'i","docAbstract":"Nearshore areas off of west-central Maui, Hawai‘i, once dominated by abundant coral coverage, now are characterized by an increased abundance of turf algae and macroalgae. In an effort to improve the health and resilience of the coral reef system, the Kahekili Herbivore Fisheries Management Area was established by the State of Hawai‘i, and the U.S. Coral Reef Task Force selected the Kā‘anapali region as a priority study area. To support these efforts, the U.S. Geological survey mapped nearly 5 km<sup>2</sup> of sea floor from the shoreline to water depths of about 30 m. Unconsolidated sediment (predominantly sand) constitutes 65 percent of the sea floor in the mapped area. Reef and other hardbottom potentially available for coral recruitments constitutes 35 percent of the mapped area. Of this potentially available hardbottom, only 51 percent is covered with a minimum of 10 percent coral, and most is found between 5 and 10 m water depth.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141129","usgsCitation":"Cochran, S., Gibbs, A.E., and White, D.J., 2014, Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kā'anapali priority study area and the State of Hawai'i Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawai'i: U.S. Geological Survey Open-File Report 2014-1129, Report: vi, 42 p.; Benthic habitat map: GIS shapefile, https://doi.org/10.3133/ofr20141129.","productDescription":"Report: vi, 42 p.; Benthic habitat map: GIS shapefile","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054708","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":289115,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1129/"},{"id":289117,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1129/pdf/ofr2014-1129.pdf"},{"id":289118,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2014/1129/downloads/ofr2014-1129_GIS.zip"},{"id":289119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141129.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.739924,20.899512 ], [ -156.739924,20.979972 ], [ -156.670022,20.979972 ], [ -156.670022,20.899512 ], [ -156.739924,20.899512 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7645e4b0abf75cf2bef3","contributors":{"authors":[{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":495277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Darla J.","contributorId":83841,"corporation":false,"usgs":true,"family":"White","given":"Darla","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70114017,"text":"ofr20141128 - 2014 - Comparison of historical streamflows to 2013 Streamflows in the Williamson, Sprague, and Wood Rivers, Upper Klamath Lake Basin, Oregon","interactions":[],"lastModifiedDate":"2014-07-18T08:23:39","indexId":"ofr20141128","displayToPublicDate":"2014-06-26T15:38:00","publicationYear":"2014","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":"2014-1128","title":"Comparison of historical streamflows to 2013 Streamflows in the Williamson, Sprague, and Wood Rivers, Upper Klamath Lake Basin, Oregon","docAbstract":"<p>In 2013, the Upper Klamath Lake Basin, Oregon, experienced a dry spring, resulting in an executive order declaring a state of drought emergency in Klamath County. The 2013 drought limited the water supply and led to a near-total cessation of surface-water diversions for irrigation above Upper Klamath Lake once regulation was implemented. These conditions presented a unique opportunity to understand the effects of water right regulation on streamflows.</p>\n<br/>\n<p>The effects of regulation of diversions were evaluated by comparing measured 2013 streamflow with data from hydrologically similar years. Years with spring streamflow similar to that in 2013 measured at the Sprague River gage at Chiloquin from water years 1973 to 2012 were used to define a Composite Index Year (CIY; with diversions) for comparison to measured 2013 streamflows (no diversions). The best-fit 6 years (1977, 1981, 1990, 1991, 1994, and 2001) were used to determine the CIY.</p>\n<br/>\n<p>Two streams account for most of the streamflow into Upper Klamath Lake: the Williamson and Wood Rivers. Most streamflow into the lake is from the Williamson River Basin, which includes the Sprague River. Because most of the diversion regulation affecting the streamflow of the Williamson River occurred in the Sprague River Basin, and because of uncertainties about historical flows in a major diversion above the Williamson River gage, streamflow data from the Sprague River were used to estimate the change in streamflow from regulation of diversions for the Williamson River Basin. Changes in streamflow outside of the Sprague River Basin were likely minor relative to total streamflow.</p>\n<br/>\n<p>The effect of diversion regulation was evaluated using the “Baseflow Method,” which compared 2013 baseflow to baseflow of the CIY. The Baseflow Method reduces the potential effects of summer precipitation events on the calculations. A similar method using streamflow produced similar results, however, despite at least one summer precipitation event. The result of the analysis estimates that streamflow from the Williamson River Basin to Upper Klamath Lake increased by approximately 14,100 acre-feet between July 1 and September 30 relative to prior dry years as a result of regulation of surface-water diversions in 2013.</p>\n<br/>\n<p>Quantifying the change in streamflow from regulation of diversion for the Wood River Basin was likely less accurate due to a lack of long-term streamflow data. An increase in streamflow from regulation of diversions in the Wood River Basin of roughly 5,500 acre-feet was estimated by comparing the average August and September streamflow in 2013 with historical August and September streamflow.</p>\n<br/>\n<p>Summing the results of the estimated streamflow gain of the Williamson River Basin (14,100 acre-feet) and Wood River (5,500 acre-feet) gives a total estimated increase in streamflow into Upper Klamath Lake resulting from the July 1–September 2013 regulation of diversions of approximately 19,600 acre-feet.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141128","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hess, G.W., and Stonewall, A., 2014, Comparison of historical streamflows to 2013 Streamflows in the Williamson, Sprague, and Wood Rivers, Upper Klamath Lake Basin, Oregon: U.S. Geological Survey Open-File Report 2014-1128, iv, 23 p., https://doi.org/10.3133/ofr20141128.","productDescription":"iv, 23 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-053100","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":289113,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1128/pdf/ofr2014-1128.pdf"},{"id":289114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141128.jpg"},{"id":289112,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1128/"}],"scale":"1000000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,42.333333 ], [ -122.0,42.833333 ], [ -120.5,42.833333 ], [ -120.5,42.333333 ], [ -122.0,42.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d6e4b0729c154181a2","contributors":{"authors":[{"text":"Hess, Glen W.","contributorId":19136,"corporation":false,"usgs":true,"family":"Hess","given":"Glen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":2699,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam J.","email":"stonewal@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058442,"text":"sim3245 - 2014 - Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars","interactions":[],"lastModifiedDate":"2023-03-16T19:19:53.492781","indexId":"sim3245","displayToPublicDate":"2014-06-26T15:14:00","publicationYear":"2014","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":"3245","title":"Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars","docAbstract":"<p>Mars Transverse Mercator (MTM) &ndash;30247, &ndash;35247, and &ndash;40247 quadrangles cover a portion of southern Hesperia Planum and the highlands of eastern Promethei Terra, east of the Hellas basin. The map area (lat 27.5&ndash;42.5&deg; S., long 110&ndash;115&deg; E.) consists of cratered ancient highland materials of moderate relief, isolated knobs and massifs of rugged mountainous materials, extensive tracts of plains, and surficial deposits. Waikato and Reull Valles extend through plains and highland terrains. Regional slopes are generally to the southwest toward the Hellas basin, but local slopes (for example, highlands to plains) dominate the landscape.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3245","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Mest, S.C., and Crown, D., 2014, Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars: U.S. Geological Survey Scientific Investigations Map 3245, Map: 58.0 x 42.0 inches; Pamphlet: i, 20 p.; GIS: ZIP; Readme; Metadata: TXT; Metadata: XML, https://doi.org/10.3133/sim3245.","productDescription":"Map: 58.0 x 42.0 inches; Pamphlet: i, 20 p.; GIS: ZIP; Readme; Metadata: TXT; Metadata: XML","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042446","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438763,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SF385I","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3245 Geologic Map of MTM -30247, -35247, and -40247 Quadrangles, Reull Vallis Region of Mars"},{"id":289110,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3245.jpg"},{"id":414303,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9SF385I","text":"Interactive map","linkHelpText":"- Geologic Map of MTM –30247, –35247, and –40247 Quadrangles, Reull Vallis Region of Mars 1:1M. Mest and Crown (2014)"},{"id":289109,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_metadata.xml"},{"id":289108,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_metadata.txt"},{"id":289107,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_readme.txt"},{"id":289103,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3245/"},{"id":289104,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3245/pdf/sim3245_map.pdf"},{"id":289106,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_GIS.zip"},{"id":289105,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3245/pdf/sim3245_pamphlet.pdf"}],"scale":"1000000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars; Reull Vallis Region","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d8e4b0729c154181a8","contributors":{"authors":[{"text":"Mest, Scott C.","contributorId":96375,"corporation":false,"usgs":true,"family":"Mest","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crown, David A.","contributorId":102582,"corporation":false,"usgs":true,"family":"Crown","given":"David A.","affiliations":[],"preferred":false,"id":487051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099902,"text":"sir20145058 - 2014 - Floods of 2011 in New York","interactions":[],"lastModifiedDate":"2014-06-30T08:53:42","indexId":"sir20145058","displayToPublicDate":"2014-06-26T14:08:00","publicationYear":"2014","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":"2014-5058","title":"Floods of 2011 in New York","docAbstract":"<p>Record rainfall combined with above-average temperatures and substantial spring snowmelt resulted in record flooding throughout New York during 2011. Rainfall totals in eastern New York were the greatest since 1895 and as much as 60 percent above the long-term average within the Catskill Mountains area and the Susquehanna River Basin. This report documents the three largest storms and resultant flooding during the year: (1) spring storm during April and May, (2) Tropical Storm Irene during August, and (3) remnants of Tropical Storm Lee during September. According to the Federal Emergency Management Agency (FEMA), the cost of these three storms exceeded $1 billion in Federal disaster assistance.</p>\n<br/>\n<p>A warm and wet spring in northern New York resulted in record flooding at 21 U.S. Geological Survey (USGS) active streamgages during late April to early May with the annual exceedance probabilities (AEPs) of 11 peak discharges equaling or exceeding 1 percent. Nearly 5 inches of rain during late April combined with a rapidly melting snowpack caused widespread flooding throughout northern New York, resulting in many road closures, millions of dollars in damages, and 23 counties declared disaster areas and eligible for public assistance. On May 6, Lake Champlain recorded its highest lake level in over 140 years.</p>\n<br/>\n<p>Hurricane Irene entered New York State on August 28 as a tropical storm and traveled up the eastern corridor of the State, leaving a path of destruction and damage never seen in many parts of New York. Thirty-one counties in New York were declared disaster areas with damages of over $1.3 billion dollars and 10 reported deaths. Storm rainfall exceeded 18 inches in the Catskill Mountains area of southeastern New York with many other areas of eastern New York receiving over 7 inches. Catastrophic flooding resulted from the extreme rainfall in many locations, including Schoharie Creek and its tributaries, the eastern Delaware River Basin, the Ausable and Bouquet River Basins in northeastern New York, and several other stream basins throughout southeastern New York. Downstream reaches of the Mohawk River also had substantial flooding. Sixty-two USGS streamgages throughout eastern New York documented record high stream flows and elevations with AEPs of 25 peak discharges equaling or exceeding 1 percent. The USGS streamgage for the Schoharie Creek at Prattsville recorded its greatest peak discharge in 109 years of record at 120,000 cubic feet per second (greater than the 0.2-percent AEP discharge) on August 28. The peak water-surface elevation at the streamgage in Prattsville was 5 feet higher than its previous record in 1996. USGS personnel surveyed 184 high-water marks (HWMs) at 30 locations along an 84-mile reach of Schoharie Creek and compared the elevations to those published by FEMA for the 10-, 2-, 1-, and 0.2-percent AEP floods. Elevations in the lower reaches of the basin exceeded published elevations for the 0.2-percent AEP flood.</p>\n<br/>\n<p>Remnants of Tropical Storm Lee brought a third major storm to New York in September 2011. Moisture from Lee began moving into New York on September 7 and intensified over the already saturated Susquehanna River Basin. Most of the rain fell on September 8 with storm totals nearing 13 inches in some areas (12.73 inches at Apalachin in Tioga County). Major disaster declarations were issued for 15 counties in and around central New York, making them eligible for individual or public assistance. Ten USGS streamgages within the Susquehanna River Basin documented record-high stream discharges and elevations on September 8, and all were greater than the 1-percent AEP discharge. USGS personnel surveyed 20 HWMs at 18 locations along a 114- mile reach of the Susquehanna River and compared the elevations to those published by FEMA for the 10-, 2-, 1-, and 0.2-percent AEP floods. Several of the surveyed HWMs exceeded published elevations for the 0.2-percent AEP flood.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145058","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lumia, R., Firda, G.D., and Smith, T., 2014, Floods of 2011 in New York: U.S. Geological Survey Scientific Investigations Report 2014-5058, Report: xii, 235 p.; 5 Plates: 36.0 x 30.0 inches, https://doi.org/10.3133/sir20145058.","productDescription":"Report: xii, 235 p.; 5 Plates: 36.0 x 30.0 inches","numberOfPages":"252","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-050803","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":289096,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5058/pdf/sir2014-5058.pdf"},{"id":289095,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5058/"},{"id":289097,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig02.pdf"},{"id":289098,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig27.pdf"},{"id":289099,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig11.pdf"},{"id":289100,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig31.pdf"},{"id":289101,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig53.pdf"},{"id":289102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145058.jpg"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.7621,40.496 ], [ -79.7621,45.0159 ], [ -71.8563,45.0159 ], [ -71.8563,40.496 ], [ -79.7621,40.496 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d8e4b0729c154181a6","contributors":{"authors":[{"text":"Lumia, Richard rlumia@usgs.gov","contributorId":4579,"corporation":false,"usgs":true,"family":"Lumia","given":"Richard","email":"rlumia@usgs.gov","affiliations":[],"preferred":true,"id":492053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firda, Gary D. gfirda@usgs.gov","contributorId":1552,"corporation":false,"usgs":true,"family":"Firda","given":"Gary","email":"gfirda@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":492052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Travis L. tlsmith@usgs.gov","contributorId":4805,"corporation":false,"usgs":true,"family":"Smith","given":"Travis L.","email":"tlsmith@usgs.gov","affiliations":[],"preferred":true,"id":492054,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70114649,"text":"70114649 - 2014 - Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus <i>Cryptotis</i> (Mammalia, Soricidae)","interactions":[],"lastModifiedDate":"2014-06-26T13:44:23","indexId":"70114649","displayToPublicDate":"2014-06-26T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2394,"text":"Journal of Morphology","active":true,"publicationSubtype":{"id":10}},"title":"Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus <i>Cryptotis</i> (Mammalia, Soricidae)","docAbstract":"Small-eared shrews (Mammalia: Soricidae: <i>Cryptotis</i>), exhibit modifications of the forelimb skeleton that have been interpreted as adaptations for semifossoriality. Most species inhabit remote regions, however, and their locomotory and foraging behaviors remain mostly speculative. To better understand the morphological modifications in the absence of direct observations, we quantified variation in these species by measuring 151 individuals representing 18 species and populations of <i>Cryptotis</i> and two species of moles (Talpidae) for comparison. From our measurements, we calculated 22 indices, most of which have been used previously to characterize substrate use among rodents and other taxa. We analyzed the indices using 1) average percentile ranks, 2) principal components analysis, and 3) cluster analysis. From these analyses, we determined that three basic modes of substrate adaptation are present within <i>Cryptotis</i>: 1) a primarily terrestrial mode, with species that are capable of burrowing, but lack adaptations to increase digging efficiency, 2) a semifossorial mode, with species whose forelimbs bones show strong muscle attachment areas and increased mechanical advantage, and 3) an intermediate mode. In addition to identifying new morphological characters and contributing to our understanding of the functional morphology of soricids, these analyses provide additional insight into the ecology of the species of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Morphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1002/jmor.20254","usgsCitation":"Woodman, N., and Gaffney, S.A., 2014, Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus <i>Cryptotis</i> (Mammalia, Soricidae): Journal of Morphology, v. 275, no. 7, p. 745-759, https://doi.org/10.1002/jmor.20254.","productDescription":"15 p.","startPage":"745","endPage":"759","numberOfPages":"15","ipdsId":"IP-051998","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":289092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jmor.20254"},{"id":289093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-01-28","publicationStatus":"PW","scienceBaseUri":"53ad32d6e4b0729c154181a0","chorus":{"doi":"10.1002/jmor.20254","url":"http://dx.doi.org/10.1002/jmor.20254","publisher":"Wiley-Blackwell","authors":"Woodman Neal, Gaffney Sarah A.","journalName":"Journal of Morphology","publicationDate":"1/28/2014"},"contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaffney, Sarah A.","contributorId":94219,"corporation":false,"usgs":true,"family":"Gaffney","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114640,"text":"70114640 - 2014 - A multiscale assessment of tree avoidance by prairie birds","interactions":[],"lastModifiedDate":"2014-06-26T13:11:32","indexId":"70114640","displayToPublicDate":"2014-06-26T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale assessment of tree avoidance by prairie birds","docAbstract":"In North America, grassland bird abundances have declined, likely as a result of loss and degradation of prairie habitat. Given the expense and limited opportunity to procure new grasslands, managers are increasingly focusing on ways to improve existing habitat for grassland birds, using techniques such as tree removal. To examine the potential for tree removal to benefit grassland birds, we conducted 446 point counts on 35 grassland habitat patches in the highly fragmented landscape of west-central Minnesota during 2009–2011. We modeled density of four grassland bird species in relation to habitat composition at multiple scales, focusing on covariates that described grass, woody vegetation (trees and large shrubs), or combinations of grass and woody vegetation. The best-supported models for all four grassland bird species incorporated variables measured at multiple scales, including local features such as grass height, litter depth, and local tree abundance, as well as landscape-level measures of grass and tree cover. Savannah Sparrows (<i>Passerculus sandwichensis</i>), Sedge Wrens (<i>Cistothorus platensis</i>), and Bobolinks (<i>Dolichonyx oryzivorus</i>) responded consistently and negatively to woody vegetation, but response to litter depth, grass height, and grassland extent were mixed among species. Our results suggest that reducing shrub and tree cover is more likely to increase the density of grassland birds than are attempts to improve grass quality or quantity. In particular, tree removal is more likely to increase density of Savannah Sparrows and Sedge Wrens than any reasonable changes in grass quality or quantity. Yet tree removal may not result in increased abundance of grassland birds if habitat composition is not considered at multiple scales. Managers will need to either manage at large scales (80–300 ha) or focus their efforts on removing trees in landscapes that contain some grasslands but few nearby wooded areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-072.1","usgsCitation":"Thompson, S.J., Arnold, T.W., and Amundson, C.L., 2014, A multiscale assessment of tree avoidance by prairie birds: The Condor, v. 116, no. 3, p. 303-315, https://doi.org/10.1650/CONDOR-13-072.1.","productDescription":"13 p.","startPage":"303","endPage":"315","numberOfPages":"13","ipdsId":"IP-053994","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-13-072.1","text":"Publisher Index Page"},{"id":289089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289088,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-072.1"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d3e4b0729c1541819a","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":495390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":495388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70101200,"text":"sir20145069 - 2014 - Assessment of metal and trace element contamination in water, sediment, plants, macroinvertebrates, and fish in Tavasci Marsh, Tuzigoot National Monument, Arizona","interactions":[],"lastModifiedDate":"2017-01-25T10:35:33","indexId":"sir20145069","displayToPublicDate":"2014-06-26T12:45:00","publicationYear":"2014","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":"2014-5069","title":"Assessment of metal and trace element contamination in water, sediment, plants, macroinvertebrates, and fish in Tavasci Marsh, Tuzigoot National Monument, Arizona","docAbstract":"<p>Tavasci Marsh is a large freshwater marsh within the Tuzigoot National Monument in central Arizona. It is the largest freshwater marsh in Arizona that is unconnected to the Colorado River and is designated as an Important Bird Area by the Audubon Society. The marsh has been altered significantly by previous land use and the monument’s managers are evaluating the restoration of the marsh. In light of historical mining activities located near the marsh from the first half of the 20th century, evaluations of water, sediment, plant, and aquatic biota in the marsh were conducted. The evaluations were focused on nine metals and trace elements commonly associated with mining and other anthropogenic activities (As, Cd, Cr, Cu, Hg, Ni, Pb, Se, and Zn) together with isotopic analyses to understand the presence, sources and timing of water and sediment contaminants to the marsh and the occurrence in aquatic plants, dragonfly larvae, and fish.</p>\n<br/>\n<p>Results of water analyses indicate that there were two distinct sources of water contributing to the marsh during the study: one from older high elevation recharge entering the marsh at Shea Spring (as well as a number of unnamed seeps and springs on the northeastern edge of the marsh) and the other from younger low elevation recharge or from Pecks Lake. Water concentrations for arsenic exceeded the U.S. Environmental Protection Agency primary drinking water standard of 10 μg/L at all sampling sites. Surface waters at Tavasci Marsh may contain conditions favorable for methylmercury production.</p>\n<br/>\n<p>All surficial and core sediment samples exceeded or were within sample concentration variability of at least one threshold sediment quality guideline for As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn. Several sediment sites were also above or were within sample concentration variability of severe or probable effect sediment quality guidelines for As, Cd, and Cu. Three sediment cores collected in the marsh have greater metal and trace element concentrations at depth for Bi, Cd, Cu, Hg, In, Pb, Sb, Sn, Te, and Zn. Radioisotope dating indicates that the elevated metal and trace element concentrations are associated with sediments deposited before 1963.</p>\n<br/>\n<p>Arsenic concentration was greater in cattail roots compared with surrounding sediment at Tavasci Marsh. Concentrations of As, Ni, and Se from yellow bullhead catfish (Ameiurus natalis) in Tavasci Marsh exceeded the 75th percentile of several other regional studies. Mercury concentration in dragonfly larvae and fish from Tavasci Marsh were similar to or greater than in Tavasci Marsh sediment. Future work includes a biologic risk assessment utilizing the data collected in this study to provide the monument management with additional information for their restoration plan.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145069","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Beisner, K.R., Paretti, N., Brasher, A., Fuller, C.C., and Miller, M.P., 2014, Assessment of metal and trace element contamination in water, sediment, plants, macroinvertebrates, and fish in Tavasci Marsh, Tuzigoot National Monument, Arizona: U.S. Geological Survey Scientific Investigations Report 2014-5069, Report: viii, 72 p.; Appendixes A-D, https://doi.org/10.3133/sir20145069.","productDescription":"Report: viii, 72 p.; Appendixes A-D","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042985","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":289084,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixB_sediment.xlsx","text":"Appendix B"},{"id":289085,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixC_plant.xlsx","text":"Appendix C"},{"id":289086,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixD_biota.xlsx","text":"Appendix D"},{"id":289087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145069.jpg"},{"id":289081,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5069/"},{"id":289082,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5069/pdf/sir2014-5069.pdf"},{"id":289083,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixA_water.xlsx","text":"Appendix A"}],"country":"United States","state":"Arizona","otherGeospatial":"Tavasci Marsh, Tuzigoot National Monument","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.03811,34.768911 ], [ -112.03811,34.78724 ], [ -112.006095,34.78724 ], [ -112.006095,34.768911 ], [ -112.03811,34.768911 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d5e4b0729c1541819e","contributors":{"authors":[{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":492645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70059146,"text":"ofr20131294 - 2014 - Review and bibliometric analysis of published literature citing data produced by the Gap Analysis Program (GAP)","interactions":[],"lastModifiedDate":"2014-06-26T11:47:43","indexId":"ofr20131294","displayToPublicDate":"2014-06-26T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1294","title":"Review and bibliometric analysis of published literature citing data produced by the Gap Analysis Program (GAP)","docAbstract":"<p>The Gap Analysis Program (GAP) of the U.S. Geological Survey (USGS) produces geospatial datasets providing information on land cover, predicted species distributions, stewardship (ownership and conservation status), and an analysis dataset which synthesizes the other three datasets. The intent in providing these datasets is to support the conservation of biodiversity. The datasets are made available at no cost. The initial datasets were created at the state level. More recent datasets have been assembled at regional and national levels.</p>\n<br/>\n<p>GAP entered an agreement with the Policy Analysis and Science Assistance branch of the USGS to conduct an evaluation to describe the effect that using GAP data has on those who utilize the datasets (GAP users). The evaluation project included multiple components: a discussion regarding use of GAP data conducted with participants at a GAP conference, a literature review of publications that cited use of GAP data, and a survey of GAP users. The findings of the published literature search were used to identify topics to include on the survey.</p>\n<br/>\n<p>This report summarizes the literature search, the characteristics of the resulting set of publications, the emergent themes from statements made regarding GAP data, and a bibliometric analysis of the publications. We cannot claim that this list includes all publications that have used GAP data. Given the time lapse that is common in the publishing process, more recent datasets may be cited less frequently in this list of publications. Reports or products that used GAP data may be produced but never published in print or released online. In that case, our search strategies would not have located those reports. Authors may have used GAP data but failed to cite it in such a way that the search strategies we used would have located those publications. These are common issues when using a literature search as part of an evaluation project. Although the final list of publications we identified is not comprehensive, this set of publications can be considered a sufficient sample of those citing GAP data and suitable for the descriptive analyses we conducted.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131294","usgsCitation":"Ratz, J., and Conk, S.J., 2014, Review and bibliometric analysis of published literature citing data produced by the Gap Analysis Program (GAP): U.S. Geological Survey Open-File Report 2013-1294, iii, 117 p., https://doi.org/10.3133/ofr20131294.","productDescription":"iii, 117 p.","numberOfPages":"120","onlineOnly":"Y","ipdsId":"IP-038174","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":289077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131294.jpg"},{"id":289075,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1294/"},{"id":289076,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1294/pdf/ofr2013-1294.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d9e4b0729c154181ac","contributors":{"authors":[{"text":"Ratz, Joan M.","contributorId":22739,"corporation":false,"usgs":true,"family":"Ratz","given":"Joan M.","affiliations":[],"preferred":false,"id":487496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conk, Shannon J.","contributorId":21516,"corporation":false,"usgs":true,"family":"Conk","given":"Shannon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114616,"text":"70114616 - 2014 - A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival","interactions":[],"lastModifiedDate":"2014-06-26T10:55:01","indexId":"70114616","displayToPublicDate":"2014-06-26T10:31:00","publicationYear":"2014","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":"A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival","docAbstract":"While the ecology and evolution of partial migratory systems (defined broadly to include skip spawning) have been well studied, we are only beginning to understand how partial migratory populations are responding to ongoing environmental change. Environmental change can lead to differences in the fitness of residents and migrants, which could eventually lead to changes in the frequency of the strategies in the overall population. Here, we address questions concerning the life history of the endangered <i>Gila cypha</i> (humpback chub) in the regulated Colorado River and the unregulated tributary and primary spawning area, the Little Colorado River. We develop eight multistate models for the population based on three movement hypotheses, in which states are defined in terms of fish size classes and river locations. We fit these models to mark–recapture data collected in 2009–2012. We compare survival and growth estimates between the Colorado River and Little Colorado River and calculate abundances for all size classes. The best model supports the hypotheses that larger adults spawn more frequently than smaller adults, that there are residents in the spawning grounds, and that juveniles move out of the Little Colorado River in large numbers during the monsoon season (July–September). Monthly survival rates for <i>G. cypha</i> in the Colorado River are higher than in the Little Colorado River in all size classes; however, growth is slower. While the hypothetical life histories of life-long residents in the Little Colorado River and partial migrants spending most of its time in the Colorado River are very different, they lead to roughly similar fitness expectations when we used expected number of spawns as a proxy. However, more research is needed because our study period covers a period of years when conditions in the Colorado River for <i>G. cypha</i> are likely to have been better than has been typical over the last few decades.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.990","usgsCitation":"Yackulic, C.B., Yard, M., Korman, J., and Van Haverbeke, D., 2014, A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival: Ecology and Evolution, v. 4, no. 7, p. 1006-1018, https://doi.org/10.1002/ece3.990.","productDescription":"13 p.","startPage":"1006","endPage":"1018","numberOfPages":"13","ipdsId":"IP-046001","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.990","text":"Publisher Index Page"},{"id":289074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.990"}],"country":"United States","otherGeospatial":"Colorado River;Little Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.920471,36.073522 ], [ -111.920471,36.375962 ], [ -111.498184,36.375962 ], [ -111.498184,36.073522 ], [ -111.920471,36.073522 ] ] ] } } ] }","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-02-28","publicationStatus":"PW","scienceBaseUri":"53ad32d4e4b0729c1541819c","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":495352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":495353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":495354,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173903,"text":"70173903 - 2014 - A semi-automated method of monitoring dam passage of American Eels Anguilla rostrata","interactions":[],"lastModifiedDate":"2016-06-15T12:34:13","indexId":"70173903","displayToPublicDate":"2014-06-26T10:15:00","publicationYear":"2014","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":"A semi-automated method of monitoring dam passage of American Eels Anguilla rostrata","docAbstract":"<p>Fish passage facilities at dams have become an important focus of fishery management in riverine systems. Given the personnel and travel costs associated with physical monitoring programs, automated or semi-automated systems are an attractive alternative for monitoring fish passage facilities. We designed and tested a semi-automated system for eel ladder monitoring at Millville Dam on the lower Shenandoah River, West Virginia. A motion-activated eel ladder camera (ELC) photographed each yellow-phase American Eel Anguilla rostrata that passed through the ladder. Digital images (with date and time stamps) of American Eels allowed for total daily counts and measurements of eel TL using photogrammetric methods with digital imaging software. We compared physical counts of American Eels with camera-based counts; TLs obtained with a measuring board were compared with TLs derived from photogrammetric methods. Data from the ELC were consistent with data obtained by physical methods, thus supporting the semi-automated camera system as a viable option for monitoring American Eel passage. Time stamps on digital images allowed for the documentation of eel passage time&mdash;data that were not obtainable from physical monitoring efforts. The ELC has application to eel ladder facilities but can also be used to monitor dam passage of other taxa, such as crayfishes, lampreys, and water snakes.</p>","language":"English","publisher":"Taylor and Francis","publisherLocation":"Abingdon, England","doi":"10.1080/02755947.2014.910580","usgsCitation":"Welsh, S., and Aldinger, J.L., 2014, A semi-automated method of monitoring dam passage of American Eels Anguilla rostrata: North American Journal of Fisheries Management, v. 34, no. 4, p. 702-709, https://doi.org/10.1080/02755947.2014.910580.","productDescription":"8 p.","startPage":"702","endPage":"709","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053279","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-12","publicationStatus":"PW","scienceBaseUri":"57627c2ce4b07657d19a69bb","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":639013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Joni L.","contributorId":171886,"corporation":false,"usgs":false,"family":"Aldinger","given":"Joni","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70112161,"text":"ofr20141108 - 2014 - Landsat and water: case studies of the uses and benefits of landsat imagery in water resources","interactions":[],"lastModifiedDate":"2014-06-26T10:16:32","indexId":"ofr20141108","displayToPublicDate":"2014-06-26T10:05:00","publicationYear":"2014","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":"2014-1108","title":"Landsat and water: case studies of the uses and benefits of landsat imagery in water resources","docAbstract":"<p>The Landsat program has been collecting and archiving moderate resolution earth imagery since 1972. The number of Landsat users and uses has increased exponentially since the enactment of a free and open data policy in 2008, which made data available free of charge to all users. Benefits from the information Landsat data provides vary from improving environmental quality to protecting public health and safety and informing decision makers such as consumers and producers, government officials and the public at large. Although some studies have been conducted, little is known about the total benefit provided by open access Landsat imagery.</p>\n<br/>\n<p>This report contains a set of case studies focused on the uses and benefits of Landsat imagery. The purpose of these is to shed more light on the benefits accrued from Landsat imagery and to gain a better understanding of the program’s value. The case studies tell a story of how Landsat imagery is used and what its value is to different private and public entities. Most of the case studies focus on the use of Landsat in water resource management, although some other content areas are included.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141108","usgsCitation":"Serbina, L.O., and Miller, H.M., 2014, Landsat and water: case studies of the uses and benefits of landsat imagery in water resources: U.S. Geological Survey Open-File Report 2014-1108, xii, 61 p., https://doi.org/10.3133/ofr20141108.","productDescription":"xii, 61 p.","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-052473","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":289072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141108.jpg"},{"id":289070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1108/"},{"id":289071,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1108/pdf/ofr2014-1108.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b193e4b0388651d917de","contributors":{"authors":[{"text":"Serbina, Larisa O. lserbina@usgs.gov","contributorId":5474,"corporation":false,"usgs":true,"family":"Serbina","given":"Larisa","email":"lserbina@usgs.gov","middleInitial":"O.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":494571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":494572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70100727,"text":"sir20145061 - 2014 - Correlations of daily flows at streamgages in and near West Virginia, 1930-2011, and streamflow characteristics relevant to the use of index streamgages","interactions":[],"lastModifiedDate":"2014-08-28T14:11:34","indexId":"sir20145061","displayToPublicDate":"2014-06-26T10:03:00","publicationYear":"2014","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":"2014-5061","title":"Correlations of daily flows at streamgages in and near West Virginia, 1930-2011, and streamflow characteristics relevant to the use of index streamgages","docAbstract":"<p>Correlation of flows at pairs of streamgages were evaluated using a Spearman’s rho correlation coefficient to better identify gages that can be used as index gages to estimate daily flow at ungaged stream sites in West Virginia. Much of West Virginia (77 percent) is within areas where Spearman’s rho for daily streamflow between streamgages on unregulated streams (unregulated streamgages) is greater than 0.9; most withdrawals from ungaged streams for shale gas well hydraulic fracturing are being made in these areas. Most of West Virginia (>99 percent) is within zones where Spearman’s rho between streamgages on unregulated streams is greater than 0.85. Withdrawals for hydraulic fracturing are made from ungaged streams in areas where Spearman’s rho between streamgages on unregulated streams is less than 0.9, but because spatial correlation is partly a function of the density of the streamgaging network, adding or reactivating several streamgages would be likely to result in correlations of 0.90 or higher in these areas.</p>\n<br/>\n<p>Seasonal differences in the strength and spatial extent of correlations of daily streamflows are great. The strongest correlations among streamgages are for fall, followed by spring, then winter. One possible explanation for the weak correlations for summer may be that precipitation and runoff associated with convective storms affect one basin and miss nearby basins. A comparison of correlation patterns during previously identified climatic periods shows that the strongest correlations occurred during 1963–69, a period of drought, and the weakest during 1970–79, a wet period. The apparent effect of frequent rain during 1970–79 overshadowed streamgage-network density, which was at its historic maximum in West Virginia at that time, so that the extent of areas with high correlation to at least one streamgage was smaller during 1970–79 than during 1963–69. Correlations for 1992 to 2011 were slightly weaker than those for 1963 to 1969.</p>\n<br/>\n<p>The relation between correlation and distance between basin centroids was determined to be stronger for streamgage pairs in the Ohio River Basin than for pairs in the Atlantic Slope River Basins, which in turn was stronger than the relation between pairs of streamgages split between the two major basins. Quantile regression equations were developed for these three comparisons to estimate the Spearman’s rho correlation coefficient for streamgage pairs using distance between basin centroids as a predictor variable. The equations can be used for streamgage network planning. For the Ohio River Basin, the distance between basin centroids at which 50 percent of streamgage pairs would exceed a Spearman’s rho of 0.95 is 9 miles. The distance between basin centroids at which 50 percent of streamgage pairs would exceed a Spearman’s rho of 0.90 is 25 miles, and the distance at which 50 percent of streamgage pairs would exceed a Spearman’s rho of 0.85 is 48 miles. For the Atlantic Slope River Basins, the distance between basin centroids at which 50 percent of streamgage pairs would exceed a Spearman’s rho of 0.95 is 1 mile. The distance between basin centroids at which 50 percent of streamgage pairs would exceed a Spearman’s rho of 0.90 is 13 miles, and the distance at which 50 percent of streamgage pairs would exceed a Spearman’s rho of 0.85 is 41 miles. For pairs of streamgages split between the two major basins, the regression equation gives a value of 0.84 for the correlation coefficient at zero miles. On maps of correlations, the shape of strongly correlated areas for streamgages in the Ohio River Basin is generally round. In the Valley and Ridge Physiographic Province, which generally coincides with the Atlantic Slope River Basins within the study area, areas strongly correlated with streamgages generally coincide with major valleys.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145061","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection Division of Water and Waste Management, Water Use Section","usgsCitation":"Messinger, T., and Paybins, K.S., 2014, Correlations of daily flows at streamgages in and near West Virginia, 1930-2011, and streamflow characteristics relevant to the use of index streamgages (Originally posted June 26, 2014; Revised and reposted August 28, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2014-5061, Report: viii, 82 p.; Tables 10, 11, 16-22; Downloads Directory, https://doi.org/10.3133/sir20145061.","productDescription":"Report: viii, 82 p.; Tables 10, 11, 16-22; Downloads Directory","numberOfPages":"96","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1930-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-045700","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":289069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145061.jpg"},{"id":289065,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5061/"},{"id":289067,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5061/support/sir2014-5061-tables.xlsx"},{"id":289066,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5061/support/sir2014-5061.pdf"},{"id":289068,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5061/support"}],"projection":"Universal Transverse Mercator projection, zone 17","datum":"North American Datum of 1983","country":"United States","state":"West Virginia","otherGeospatial":"Atlantic Slope River Basins;Ohio River Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,36.8 ], [ -83.0,40.64 ], [ -77.4,40.64 ], [ -77.4,36.8 ], [ -83.0,36.8 ] ] ] } } ] }","edition":"Originally posted June 26, 2014; Revised and reposted August 28, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d7e4b0729c154181a4","contributors":{"authors":[{"text":"Messinger, Terence 0000-0003-4084-9298 tmessing@usgs.gov","orcid":"https://orcid.org/0000-0003-4084-9298","contributorId":2717,"corporation":false,"usgs":true,"family":"Messinger","given":"Terence","email":"tmessing@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492396,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240954,"text":"70240954 - 2014 - Inundation of a barrier island (Chandeleur Islands, Louisiana, USA) during a hurricane: Observed water-level gradients and modeled seaward sand transport","interactions":[],"lastModifiedDate":"2023-03-02T15:18:15.90432","indexId":"70240954","displayToPublicDate":"2014-06-26T09:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Inundation of a barrier island (Chandeleur Islands, Louisiana, USA) during a hurricane: Observed water-level gradients and modeled seaward sand transport","docAbstract":"<p><span>Large geomorphic changes to barrier islands may occur during inundation, when storm surge exceeds island elevation. Inundation occurs episodically and under energetic conditions that make quantitative observations difficult. We measured water levels on both sides of a barrier island in the northern Chandeleur Islands during inundation by Hurricane Isaac. Wind patterns caused the water levels to slope from the bay side to the ocean side for much of the storm. Modeled geomorphic changes during the storm were very sensitive to the cross-island slopes imposed by water-level boundary conditions. Simulations with equal or landward sloping water levels produced the characteristic barrier island storm response of overwash deposits or displaced berms with smoother final topography. Simulations using the observed seaward sloping water levels produced cross-barrier channels and deposits of sand on the ocean side, consistent with poststorm observations. This sensitivity indicates that accurate water-level boundary conditions must be applied on both sides of a barrier to correctly represent the geomorphic response to inundation events. More broadly, the consequence of seaward transport is that it alters the relationship between storm intensity and volume of landward transport. Sand transported to the ocean side may move downdrift, or aid poststorm recovery by moving onto the beach face or closing recent breaches, but it does not contribute to island transgression or appear as an overwash deposit in the back-barrier stratigraphic record. The high vulnerability of the Chandeleur Islands allowed us to observe processes that are infrequent but may be important at other barrier islands.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JF003069","usgsCitation":"Sherwood, C.R., Long, J.W., Dickhudt, P., Dalyander, P.S., Thompson, D.M., and Plant, N.G., 2014, Inundation of a barrier island (Chandeleur Islands, Louisiana, USA) during a hurricane: Observed water-level gradients and modeled seaward sand transport: JGR Earth Surface, v. 119, no. 7, p. 1498-1515, https://doi.org/10.1002/2013JF003069.","productDescription":"18 p.","startPage":"1498","endPage":"1515","ipdsId":"IP-053447","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jf003069","text":"Publisher Index Page"},{"id":413617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.71427201193912,\n              30.126096110029266\n            ],\n            [\n              -89.10316960345594,\n              30.126096110029266\n            ],\n            [\n              -89.10316960345594,\n              29.538899150119548\n            ],\n            [\n              -88.71427201193912,\n              29.538899150119548\n            ],\n            [\n              -88.71427201193912,\n              30.126096110029266\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"119","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickhudt, Patrick 0000-0001-8003-7089 pdickhudt@usgs.gov","orcid":"https://orcid.org/0000-0001-8003-7089","contributorId":187402,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick","email":"pdickhudt@usgs.gov","affiliations":[],"preferred":true,"id":865474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865476,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":865477,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70114502,"text":"70114502 - 2014 - InSAR detects increase in surface subsidence caused by an Arctic tundra fire","interactions":[],"lastModifiedDate":"2014-07-07T13:29:03","indexId":"70114502","displayToPublicDate":"2014-06-26T08:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"InSAR detects increase in surface subsidence caused by an Arctic tundra fire","docAbstract":"Wildfire is a major disturbance in the Arctic tundra and boreal forests, having a significant impact on soil hydrology, carbon cycling, and permafrost dynamics. This study explores the use of the microwave Interferometric Synthetic Aperture Radar (InSAR) technique to map and quantify ground surface subsidence caused by the Anaktuvuk River fire on the North Slope of Alaska. We detected an increase of up to 8 cm of thaw-season ground subsidence after the fire, which is due to a combination of thickened active layer and permafrost thaw subsidence. Our results illustrate the effectiveness and potential of using InSAR to quantify fire impacts on the Arctic tundra, especially in regions underlain by ice-rich permafrost. Our study also suggests that surface subsidence is a more comprehensive indicator of fire impacts on ice-rich permafrost terrain than changes in active layer thickness alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2014GL060533","usgsCitation":"Liu, L., Jafarov, E.E., Schaefer, K.M., Jones, B.M., Zebker, H.A., Williams, C.A., Rogan, J., and Zhang, T., 2014, InSAR detects increase in surface subsidence caused by an Arctic tundra fire: Geophysical Research Letters, v. 41, no. 11, p. 3906-3913, https://doi.org/10.1002/2014GL060533.","productDescription":"8 p.","startPage":"3906","endPage":"3913","numberOfPages":"8","ipdsId":"IP-056850","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl060533","text":"Publisher Index Page"},{"id":289062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289061,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL060533"}],"country":"United States","state":"Alaska","otherGeospatial":"Anaktuvuk River;North Slope Of Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.0,68.0 ], [ -159.0,72.0 ], [ -147.0,72.0 ], [ -147.0,68.0 ], [ -159.0,68.0 ] ] ] } } ] }","volume":"41","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"53ad32d9e4b0729c154181aa","contributors":{"authors":[{"text":"Liu, Lin","contributorId":92950,"corporation":false,"usgs":false,"family":"Liu","given":"Lin","email":"","affiliations":[{"id":36342,"text":"Earth System Science Programme, Faculty of Science, Chinese University of Hong Kong, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":495340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jafarov, Elchin E.","contributorId":40880,"corporation":false,"usgs":true,"family":"Jafarov","given":"Elchin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaefer, Kevin M.","contributorId":89449,"corporation":false,"usgs":true,"family":"Schaefer","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":495333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zebker, Howard A.","contributorId":80401,"corporation":false,"usgs":true,"family":"Zebker","given":"Howard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Christopher A.","contributorId":91791,"corporation":false,"usgs":true,"family":"Williams","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495339,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogan, John","contributorId":83008,"corporation":false,"usgs":true,"family":"Rogan","given":"John","email":"","affiliations":[],"preferred":false,"id":495337,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Tingjun","contributorId":66600,"corporation":false,"usgs":false,"family":"Zhang","given":"Tingjun","affiliations":[{"id":28117,"text":"Lanzhou University, Lanzhou, China","active":true,"usgs":false}],"preferred":false,"id":495335,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70188052,"text":"70188052 - 2014 - Differentiating moss from higher plants is critical in studying the carbon cycle of the boreal biome","interactions":[],"lastModifiedDate":"2017-05-31T16:12:50","indexId":"70188052","displayToPublicDate":"2014-06-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Differentiating moss from higher plants is critical in studying the carbon cycle of the boreal biome","docAbstract":"<p><span>The satellite-derived normalized difference vegetation index (NDVI), which is used for estimating gross primary production (GPP), often includes contributions from both mosses and vascular plants in boreal ecosystems. For the same NDVI, moss can generate only about one-third of the GPP that vascular plants can because of its much lower photosynthetic capacity. Here, based on eddy covariance measurements, we show that the difference in photosynthetic capacity between these two plant functional types has never been explicitly included when estimating regional GPP in the boreal region, resulting in a substantial overestimation. The magnitude of this overestimation could have important implications regarding a change from a current carbon sink to a carbon source in the boreal region. Moss abundance, associated with ecosystem disturbances, needs to be mapped and incorporated into GPP estimates in order to adequately assess the role of the boreal region in the global carbon cycle.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ncomms5270","usgsCitation":"Yuan, W., Liu, S., Dong, W., Liang, S., Zhao, S., Chen, J., Xu, W., Li, X., Barr, A., Black, T.A., Yan, W., Goulden, M., Kulmala, L., Lindroth, A., Margolis, H.A., Matsuura, Y., Moors, E., van der Molen, M., Ohta, T., Pilegaard, K., Varlagin, A., and Vesala, T., 2014, Differentiating moss from higher plants is critical in studying the carbon cycle of the boreal biome: Nature Communications, v. 5, Article 4270: 8 p., https://doi.org/10.1038/ncomms5270.","productDescription":"Article 4270: 8 p.","ipdsId":"IP-054943","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms5270","text":"Publisher Index Page"},{"id":341879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-26","publicationStatus":"PW","scienceBaseUri":"592e84c8e4b092b266f10db6","contributors":{"authors":[{"text":"Yuan, Wenping","contributorId":83435,"corporation":false,"usgs":true,"family":"Yuan","given":"Wenping","email":"","affiliations":[],"preferred":false,"id":696498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dong, Wenjie","contributorId":192433,"corporation":false,"usgs":false,"family":"Dong","given":"Wenjie","email":"","affiliations":[],"preferred":false,"id":696499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liang, Shunlin","contributorId":192428,"corporation":false,"usgs":false,"family":"Liang","given":"Shunlin","email":"","affiliations":[],"preferred":false,"id":696500,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhao, Shuqing","contributorId":9152,"corporation":false,"usgs":true,"family":"Zhao","given":"Shuqing","email":"","affiliations":[],"preferred":false,"id":696501,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Jingming","contributorId":192434,"corporation":false,"usgs":false,"family":"Chen","given":"Jingming","email":"","affiliations":[],"preferred":false,"id":696502,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Wenfang","contributorId":192430,"corporation":false,"usgs":false,"family":"Xu","given":"Wenfang","email":"","affiliations":[],"preferred":false,"id":696503,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Xianglan","contributorId":192435,"corporation":false,"usgs":false,"family":"Li","given":"Xianglan","email":"","affiliations":[],"preferred":false,"id":696504,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barr, Alan","contributorId":192436,"corporation":false,"usgs":false,"family":"Barr","given":"Alan","email":"","affiliations":[],"preferred":false,"id":696505,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Black, T. Andrew","contributorId":192437,"corporation":false,"usgs":false,"family":"Black","given":"T.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":696506,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yan, Wende","contributorId":192438,"corporation":false,"usgs":false,"family":"Yan","given":"Wende","email":"","affiliations":[],"preferred":false,"id":696507,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Goulden, Michael","contributorId":192006,"corporation":false,"usgs":false,"family":"Goulden","given":"Michael","email":"","affiliations":[],"preferred":false,"id":696508,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kulmala, Liisa","contributorId":192439,"corporation":false,"usgs":false,"family":"Kulmala","given":"Liisa","email":"","affiliations":[],"preferred":false,"id":696509,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lindroth, Anders","contributorId":192440,"corporation":false,"usgs":false,"family":"Lindroth","given":"Anders","email":"","affiliations":[],"preferred":false,"id":696510,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Margolis, Hank A.","contributorId":192441,"corporation":false,"usgs":false,"family":"Margolis","given":"Hank","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696511,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Matsuura, Yojiro","contributorId":192442,"corporation":false,"usgs":false,"family":"Matsuura","given":"Yojiro","email":"","affiliations":[],"preferred":false,"id":696512,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Moors, Eddy","contributorId":192443,"corporation":false,"usgs":false,"family":"Moors","given":"Eddy","email":"","affiliations":[],"preferred":false,"id":696513,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"van der Molen, Michiel","contributorId":192444,"corporation":false,"usgs":false,"family":"van der Molen","given":"Michiel","email":"","affiliations":[],"preferred":false,"id":696514,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ohta, Takeshi","contributorId":192445,"corporation":false,"usgs":false,"family":"Ohta","given":"Takeshi","email":"","affiliations":[],"preferred":false,"id":696515,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pilegaard, Kim","contributorId":192446,"corporation":false,"usgs":false,"family":"Pilegaard","given":"Kim","email":"","affiliations":[],"preferred":false,"id":696516,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Varlagin, Andrej","contributorId":192447,"corporation":false,"usgs":false,"family":"Varlagin","given":"Andrej","email":"","affiliations":[],"preferred":false,"id":696517,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Vesala, Timo","contributorId":192448,"corporation":false,"usgs":false,"family":"Vesala","given":"Timo","email":"","affiliations":[],"preferred":false,"id":696518,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70160091,"text":"70160091 - 2014 - Modeling turbidity type and intensity effects on the growth and starvation mortality of age-0 yellow perch","interactions":[],"lastModifiedDate":"2015-12-11T16:52:18","indexId":"70160091","displayToPublicDate":"2014-06-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling turbidity type and intensity effects on the growth and starvation mortality of age-0 yellow perch","docAbstract":"<p>We sought to quantify the possible population-level influence of sediment plumes and algal blooms on yellow perch (Perca flavescens), a visual predator found in systems with dynamic water clarity. We used an individual-based model (IBM), which allowed us to include variance in water clarity and the distribution of individual sizes. Our IBM was built with laboratory data showing that larval yellow perch feeding rates increased slightly as sediment turbidity level increased, but that both larval and juvenile yellow perch feeding rates decreased as phytoplankton level increased. Our IBM explained a majority of the variance in yellow perch length in data from the western and central basins of Lake Erie and Oneida Lake, with R2 values ranging from 0.611 to 0.742. Starvation mortality was size dependent, as the greatest daily mortality rates in each simulation occurred within days of each other. Our model showed that turbidity-dependent consumption rates and temperature are key components in determining growth and starvation mortality of age-0 yellow perch, linking fish production to land-based processes that influence water clarity. These results suggest the timing and persistence of sediment plumes and algal blooms can drastically alter the growth potential and starvation mortality of a yellow perch cohort.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2013-0528","collaboration":"University of Toledo; Ohio Department of Natural Resources","usgsCitation":"Manning, N.M., Bossenbroek, J.M., Mayer, C.M., Bunnell, D., Tyson, J.T., Rudstam, L.G., and Jackson, J.R., 2014, Modeling turbidity type and intensity effects on the growth and starvation mortality of age-0 yellow perch: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 10, p. 1544-1553, https://doi.org/10.1139/cjfas-2013-0528.","productDescription":"10 p.","startPage":"1544","endPage":"1553","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049840","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312144,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrcresearchpress.com/doi/full/10.1139/cjfas-2013-0528#.VmrBBaNOlaQ"}],"country":"United States","otherGeospatial":"Western and Central Lake Erie; Oneida Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.02392578125,\n              42.248851700720934\n            ],\n            [\n              -81.507568359375,\n              41.60312076451184\n            ],\n            [\n              -81.2164306640625,\n              41.78769700539063\n            ],\n            [\n              -80.88134765625,\n              41.89001042401827\n        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B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyson, Jeff T.","contributorId":68430,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeff","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":581855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":581857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, James R.","contributorId":55709,"corporation":false,"usgs":false,"family":"Jackson","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":12722,"text":"Cornell 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,{"id":70114455,"text":"70114455 - 2014 - Interpretation of high-resolution imagery for detecting vegetation cover composition change after fuels reduction treatments in woodlands","interactions":[],"lastModifiedDate":"2014-06-25T16:23:38","indexId":"70114455","displayToPublicDate":"2014-06-25T16:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Interpretation of high-resolution imagery for detecting vegetation cover composition change after fuels reduction treatments in woodlands","docAbstract":"The use of very high resolution (VHR; ground sampling distances < ∼5 cm) aerial imagery to estimate site vegetation cover and to detect changes from management has been well documented. However, as the purpose of monitoring is to document change over time, the ability to detect changes from imagery at the same or better level of accuracy and precision as those measured in situ must be assessed for image-based techniques to become reliable tools for ecosystem monitoring. Our objective with this study was to quantify the relationship between field-measured and image-interpreted changes in vegetation and ground cover measured one year apart in a Piñon and Juniper (P–J) woodland in southern Utah, USA. The study area was subject to a variety of fuel removal treatments between 2009 and 2010. We measured changes in plant community composition and ground cover along transects in a control area and three different treatments prior to and following P–J removal. We compared these measurements to vegetation composition and change based on photo-interpretation of ∼4 cm ground sampling distance imagery along similar transects. Estimates of cover were similar between field-based and image-interpreted methods in 2009 and 2010 for woody vegetation, no vegetation, herbaceous vegetation, and litter (including woody litter). Image-interpretation slightly overestimated cover for woody vegetation and no-vegetation classes (average difference between methods of 1.34% and 5.85%) and tended to underestimate cover for herbaceous vegetation and litter (average difference of −5.18% and 0.27%), but the differences were significant only for litter cover in 2009. Level of agreement between the field-measurements and image-interpretation was good for woody vegetation and no-vegetation classes (r between 0.47 and 0.89), but generally poorer for herbaceous vegetation and litter (r between 0.18 and 0.81) likely due to differences in image quality by year and the difficulty in discriminating fine vegetation and litter in imagery. Our results show that image interpretation to detect vegetation changes has utility for monitoring fuels reduction treatments in terms of woody vegetation and no-vegetation classes. The benefits of this technique are that it provides objective and repeatable measurements of site conditions that could be implemented relatively inexpensively and easily without the need for highly specialized software or technical expertise. Perhaps the biggest limitations of image interpretation to monitoring fuels treatments are challenges in estimating litter and herbaceous vegetation cover and the sensitivity of herbaceous cover estimates to image quality and shadowing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.05.017","usgsCitation":"Karl, J., Gillan, J.K., Barger, N., Herrick, J.E., and Duniway, M.C., 2014, Interpretation of high-resolution imagery for detecting vegetation cover composition change after fuels reduction treatments in woodlands: Ecological Indicators, v. 45, p. 570-578, https://doi.org/10.1016/j.ecolind.2014.05.017.","productDescription":"9 p.","startPage":"570","endPage":"578","numberOfPages":"9","ipdsId":"IP-052454","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":289060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2014.05.017"}],"country":"United States","state":"Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.561994,37.983039 ], [ -109.561994,37.993271 ], [ -109.554012,37.993271 ], [ -109.554012,37.983039 ], [ -109.561994,37.983039 ] ] ] } } ] }","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe154e4b0dad35f8e8ca6","contributors":{"authors":[{"text":"Karl, Jason W.","contributorId":22616,"corporation":false,"usgs":true,"family":"Karl","given":"Jason W.","affiliations":[],"preferred":false,"id":495319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillan, Jeffrey K.","contributorId":51656,"corporation":false,"usgs":true,"family":"Gillan","given":"Jeffrey","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barger, Nichole N.","contributorId":102392,"corporation":false,"usgs":true,"family":"Barger","given":"Nichole N.","affiliations":[],"preferred":false,"id":495322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":495320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495318,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70103656,"text":"sir20145085 - 2014 - Summary of U.S. Geological Survey reports documenting flood profiles of streams in Iowa, 1963-2012","interactions":[],"lastModifiedDate":"2014-06-25T14:04:42","indexId":"sir20145085","displayToPublicDate":"2014-06-25T13:59:00","publicationYear":"2014","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":"2014-5085","title":"Summary of U.S. Geological Survey reports documenting flood profiles of streams in Iowa, 1963-2012","docAbstract":"<p>This report is part of an ongoing program that is publishing flood profiles of streams in Iowa. The program is managed by the U.S. Geological Survey in cooperation with the Iowa Department of Transportation and the Iowa Highway Research Board (Project HR-140). Information from flood profiles is used by engineers to analyze and design bridges, culverts, and roadways. This report summarizes 47 U.S. Geological Survey flood-profile reports that were published for streams in Iowa during a 50-year period from 1963 to 2012. Flood events profiled in the reports range from 1903 to 2010. Streams in Iowa that have been selected for the preparation of flood-profile reports typically have drainage areas of 100 square miles or greater, and the documented flood events have annual exceedance probabilities of less than 2 to 4 percent. This report summarizes flood-profile measurements, changes in flood-profile report content throughout the years, streams that were profiled in the reports, the occurrence of flood events profiled, and annual exceedance-probability estimates of observed flood events. To develop flood profiles for selected flood events for selected stream reaches, the U.S. Geological Survey measured high-water marks and river miles at selected locations.</p>\n<br>\n<p>A total of 94 stream reaches have been profiled in U.S. Geological Survey flood-profile reports. Three rivers in Iowa have been profiled along the same stream reach for five different flood events and six rivers in Iowa have been profiled along the same stream reach for four different flood events. Floods were profiled for June flood events for 18 different years, followed by July flood events for 13 years, May flood events for 11 years, and April flood events for 9 years.</p>\n<br>\n<p>Most of the flood-profile reports include estimates of annual exceedance probabilities of observed flood events at streamgages located along profiled stream reaches. Comparisons of 179 historic and updated annual exceedance-probability estimates indicate few differences that are considered substantial between the historic and updated estimates for the observed flood events. Overall, precise comparisons for 114 observed flood events indicate that updated annual exceedance probabilities have increased for most of the observed flood events compared to the historic annual exceedance probabilities. Multiple large flood events exceeding the 2-percent annual exceedance-probability discharge estimate occurred at 37 of 98 selected streamgages during 1960–2012. Five large flood events were recorded at two streamgages in Ames during 1990–2010 and four large flood events were recorded at four other streamgages during 1973–2010. Results of Kendall’s tau trend-analysis tests for 35 of 37 selected streamgages indicate that a statistically significant trend is not evident for the 1963–2012 period of record; nor is an overall clear positive or negative trend evident for the 37 streamgages.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145085","issn":"2328-0328","collaboration":"Prepared in cooperation with the Iowa Department of Transportation and the Iowa Highway Research Board (Project HR-140)","usgsCitation":"Eash, D.A., 2014, Summary of U.S. Geological Survey reports documenting flood profiles of streams in Iowa, 1963-2012: U.S. Geological Survey Scientific Investigations Report 2014-5085, Report: vii, 32 p.; Downloads Directory, https://doi.org/10.3133/sir20145085.","productDescription":"Report: vii, 32 p.; Downloads Directory","numberOfPages":"44","onlineOnly":"N","temporalStart":"1963-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-050920","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":289058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145085.jpg"},{"id":289057,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5085/downloads/"},{"id":289055,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5085/"},{"id":289056,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5085/pdf/sir2014-5085.pdf"}],"scale":"2000000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.5,40.5 ], [ -96.5,43.5 ], [ -90.0,43.5 ], [ -90.0,40.5 ], [ -96.5,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe156e4b0dad35f8e8caa","contributors":{"authors":[{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493433,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70104622,"text":"ofr20121258 - 2014 - High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts","interactions":[],"lastModifiedDate":"2014-06-25T13:28:53","indexId":"ofr20121258","displayToPublicDate":"2014-06-25T13:25:00","publicationYear":"2014","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":"2012-1258","title":"High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts","docAbstract":"Swath interferometric bathymetery data were collected within and around Muskeget Channel and along select nearshore areas south and east of Martha's Vineyard, Massachusetts. Data were collected aboard the U.S. Geological Survey research vessel Rafael in October and November 2010 in a collaborative effort between the U.S. Geological Survey and the Woods Hole Oceanographic Institution. This report describes the data-collection methods and -processing steps and releases the data in geospatial format. These data were collected to support an assessment of the effect on sediment transport that a tidal instream energy conversion facility would have within Muskeget Channel. Baseline bathymetry data were obtained for the Muskeget Channel area, and surveys in select areas were repeated after one month to monitor sediment transport and bedform migration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121258","issn":"2331-1258","collaboration":"Prepared in cooperation with the Woods Hole Oceanographic Institution","usgsCitation":"Pendleton, E., Denny, J.F., Danforth, W.W., Baldwin, W.E., and Irwin, B.J., 2014, High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts: U.S. Geological Survey Open-File Report 2012-1258, HTML Document, https://doi.org/10.3133/ofr20121258.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-042558","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":289054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121258.jpg"},{"id":289052,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1258/"},{"id":289053,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1258/ofr2012-1258_title_page.html"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"Massachusetts","otherGeospatial":"Muskeget Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.5,41.25 ], [ -70.5,41.416667 ], [ -70.333333,41.416667 ], [ -70.333333,41.25 ], [ -70.5,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe152e4b0dad35f8e8c9e","contributors":{"authors":[{"text":"Pendleton, Elizabeth A.","contributorId":101312,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":493769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Barry J. birwin@usgs.gov","contributorId":3889,"corporation":false,"usgs":true,"family":"Irwin","given":"Barry","email":"birwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70100112,"text":"sir20145059 - 2014 - Hydrogeology and water quality of the stratified-drift aquifer in the Pony Hollow Creek Valley, Tompkins County, New York","interactions":[],"lastModifiedDate":"2014-06-25T13:08:00","indexId":"sir20145059","displayToPublicDate":"2014-06-25T12:57:00","publicationYear":"2014","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":"2014-5059","title":"Hydrogeology and water quality of the stratified-drift aquifer in the Pony Hollow Creek Valley, Tompkins County, New York","docAbstract":"<p>The lithology, areal extent, and the water-table configuration in stratified-drift aquifers in the northern part of the Pony Hollow Creek valley in the Town of Newfield, New York, were mapped as part of an ongoing aquifer mapping program in Tompkins County. Surficial geologic and soil maps, well and test-boring records, light detection and ranging (lidar) data, water-level measurements, and passive-seismic surveys were used to map the aquifer geometry, construct geologic sections, and determine the depth to bedrock at selected locations throughout the valley. Additionally, water-quality samples were collected from selected streams and wells to characterize the quality of surface and groundwater in the study area.</p>\n<br/>\n<p>Sedimentary bedrock underlies the study area and is overlain by unstratified drift (till), stratified drift (glaciolacustrine and glaciofluvial deposits), and recent post glacial alluvium. The major type of unconsolidated, water-yielding material in the study area is stratified drift, which consists of glaciofluvial sand and gravel, and is present in sufficient amounts in most places to form an extensive unconfined aquifer throughout the study area, which is the source of water for most residents, farms, and businesses in the valleys.</p>\n<br/>\n<p>A map of the water table in the unconfined aquifer was constructed by using (1) measurements made between the mid-1960s through 2010, (2) control on the altitudes of perennial streams at 10-foot contour intervals from lidar data collected by Tompkins County, and (3) water surfaces of ponds and wetlands that are hydraulically connected to the unconfined aquifer. Water-table contours indicate that the direction of groundwater flow within the stratified-drift aquifer is predominantly from the valley walls toward the streams and ponds in the central part of the valley where groundwater then flows southwestward (down valley) toward the confluence with the Cayuta Creek valley. Locally, the direction of groundwater flow is radially away from groundwater mounds that have formed beneath upland tributaries that lose water where they flow on alluvial fans on the margins of the valley. In some places, groundwater that would normally flow toward streams is intercepted by pumping wells.</p>\n<br/>\n<p>Surface-water samples were collected in 2001 at four sites including Carter, Pony Hollow (two sites), and Chafee Creeks, and from six wells throughout the aquifer. Calcium dominates the cation composition and bicarbonate dominates the anion composition in groundwater and surface-water samples and none of the common inorganic constituents collected exceeded any Federal or State water-quality standards. Groundwater samples were collected from six wells all completed in the unconfined sand and gravel aquifer. Concentrations of calcium and magnesium dominated the ionic composition of the groundwater in all wells sampled. Nitrate, orthophosphate, and trace metals were detected in all groundwater samples, but none were more than U.S. Environmental Protection Agency or New York State Department of Health regulatory limits.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145059","collaboration":"Prepared in cooperation with the Tompkins County Department of Planning","usgsCitation":"Bugliosi, E.F., Miller, T.S., and Reynolds, R.J., 2014, Hydrogeology and water quality of the stratified-drift aquifer in the Pony Hollow Creek Valley, Tompkins County, New York: U.S. Geological Survey Scientific Investigations Report 2014-5059, v, 23 p., https://doi.org/10.3133/sir20145059.","productDescription":"v, 23 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-044950","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":289051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145059.jpg"},{"id":289049,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5059/"},{"id":289050,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5059/pdf/sir2014-5059.pdf"}],"scale":"250000","country":"United States","state":"New York","county":"Tompkins County","otherGeospatial":"Pony Hollow Creek Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.666667,42.166667 ], [ -76.666667,42.666667 ], [ -76.25,42.666667 ], [ -76.25,42.166667 ], [ -76.666667,42.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe153e4b0dad35f8e8ca2","contributors":{"authors":[{"text":"Bugliosi, Edward F. ebuglios@usgs.gov","contributorId":1083,"corporation":false,"usgs":true,"family":"Bugliosi","given":"Edward","email":"ebuglios@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard J. 0000-0001-5032-6613 rjreynol@usgs.gov","orcid":"https://orcid.org/0000-0001-5032-6613","contributorId":1082,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rjreynol@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073938,"text":"sir20145015 - 2014 - Spatiotemporal variations in estrogenicity, hormones, and endocrine-disrupting compounds in influents and effluents of selected wastewater-treatment plants and receiving streams in New York, 2008-09","interactions":[],"lastModifiedDate":"2021-05-28T14:03:19.085518","indexId":"sir20145015","displayToPublicDate":"2014-06-25T12:47:00","publicationYear":"2014","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":"2014-5015","title":"Spatiotemporal variations in estrogenicity, hormones, and endocrine-disrupting compounds in influents and effluents of selected wastewater-treatment plants and receiving streams in New York, 2008-09","docAbstract":"<p>Endocrine-disrupting compounds (EDCs) in wastewater effluents have been linked to changes in sex ratios, intersex (in males), behavioral modifications, and developmental abnormalities in aquatic organisms. Yet efforts to identify and regulate specific EDCs in complex mixtures are problematic because little is known about the estrogen activity (estrogenicity) levels of many common and emerging contaminants. The potential effects of EDCs on the water quality and health of biota in streams of the New York City water supply is especially worrisome because more than 150 wastewater-treatment plants (WWTPs) are permitted to discharge effluents into surface waters and groundwaters of watersheds that provide potable water to more than 9 million people. In 2008, the U.S. Geological Survey (USGS), the New York State Department of Environmental Conservation (NYSDEC), New York State Department of Health (NYSDOH), and New York City Department of Environmental Protection (NYCDEP) began a pilot study to increase the understanding of estrogenicity and EDCs in effluents and receiving streams mainly in southeastern New York. The primary goals of this study were to document and assess the spatial and temporal variability of estrogenicity levels; the effectiveness of various treatment-plant types to remove estrogenicity; the concentrations of hormones, EDCs, and pharmaceuticals, personal care products (PPCPs); and the relations between estrogenicity and concentrations of hormones, EDCs, and PPCPs. The levels of estrogenicity and selected hormones, non-hormone EDCs, and PPCPs were characterized in samples collected seasonally in effluents from 7 WWTPs, once or twice in effluents from 34 WWTPs, and once in influents to 6 WWTPs. Estrogenicity was quantified, as estradiol equivalents, using both the biological e-screen assay and a chemical model. Results generally show that (1) estrogenicity levels in effluents varied spatially and seasonally, (2) a wide range of known and unknown EDCs were present in both WWTP effluents and receiving streams, (3) some effluents may be important sources of estrogenicity in weakly diluted streams, (4) measured levels of biological estrogenicity were often higher than estimated levels of chemical estrogenicity, and (5) the type of treatment had a large effect on the removal efficacy, and consequently, the estrogenicity levels observed in treated effluents.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145015","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Baldigo, B.P., Phillips, P., Ernst, A., Gray, J.L., and Hemming, J., 2014, Spatiotemporal variations in estrogenicity, hormones, and endocrine-disrupting compounds in influents and effluents of selected wastewater-treatment plants and receiving streams in New York, 2008-09: U.S. Geological Survey Scientific Investigations Report 2014-5015, Report: iv, 32 p.; Appendixes 1-2, https://doi.org/10.3133/sir20145015.","productDescription":"Report: iv, 32 p.; Appendixes 1-2","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-040383","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":289048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145015.jpg"},{"id":289046,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5015/"},{"id":289047,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5015/pdf/sir2014-5015.pdf"},{"id":289160,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5015/appendix/appendix1.xlsx"},{"id":289161,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5015/appendix/appendix2.xlsx"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.0,41.0 ], [ -76.0,45.0 ], [ -72.0,45.0 ], [ -72.0,41.0 ], [ -76.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe155e4b0dad35f8e8ca8","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":489250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ernst, Anne G.","contributorId":37825,"corporation":false,"usgs":true,"family":"Ernst","given":"Anne G.","affiliations":[],"preferred":false,"id":489253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":489252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hemming, Jocelyn","contributorId":98641,"corporation":false,"usgs":true,"family":"Hemming","given":"Jocelyn","email":"","affiliations":[],"preferred":false,"id":489254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70111040,"text":"pp1804 - 2014 - Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the eastern United States","interactions":[],"lastModifiedDate":"2023-12-14T13:40:11.599696","indexId":"pp1804","displayToPublicDate":"2014-06-25T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1804","title":"Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the eastern United States","docAbstract":"This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act of 2007 and to conduct a comprehensive national assessment of storage and flux (flow) of carbon and the fluxes of other greenhouse gases in ecosystems of the Eastern United States. These carbon and greenhouse gas variables were examined for major terrestrial ecosystems (forests, grasslands/shrublands, agricultural lands, and wetlands) and aquatic ecosystems (rivers, streams, lakes, estuaries, and coastal waters) in the Eastern United States in two time periods: baseline (from 2001 through 2005) and future (projections from the end of the baseline through 2050). The Great Lakes were not included in this assessment due to a lack of input data. The assessment was based on measured and observed data collected by the U.S. Geological Survey and many other agencies and organizations and used remote sensing, statistical methods, and simulation models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1804","issn":"2330-7102","isbn":"978-1-4113-3794-7","usgsCitation":"2014, Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the eastern United States: U.S. Geological Survey Professional Paper 1804, vi, 204 p., https://doi.org/10.3133/pp1804.","productDescription":"vi, 204 p.","numberOfPages":"214","onlineOnly":"N","ipdsId":"IP-045915","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":289038,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1804.jpg"},{"id":289036,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1804/"},{"id":289037,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1804/pdf/pp1804.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,25.0 ], [ -100.0,50.0 ], [ -65.0,50.0 ], [ -65.0,25.0 ], [ -100.0,25.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe14fe4b0dad35f8e8c9c","contributors":{"editors":[{"text":"Zhu, Zhi-Liang zzhu@usgs.gov","contributorId":3636,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","email":"zzhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":509855,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Reed, Bradley C. 0000-0002-1132-7178 reed@usgs.gov","orcid":"https://orcid.org/0000-0002-1132-7178","contributorId":2901,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"reed@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":509854,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70110626,"text":"ofr20141103 - 2014 - Hydrostratigraphic interpretation of test-hole and borehole geophysical data, Kimball, Cheyenne, and Deuel Counties, Nebraska, 2011-12","interactions":[],"lastModifiedDate":"2014-06-25T11:49:46","indexId":"ofr20141103","displayToPublicDate":"2014-06-25T11:30:00","publicationYear":"2014","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":"2014-1103","title":"Hydrostratigraphic interpretation of test-hole and borehole geophysical data, Kimball, Cheyenne, and Deuel Counties, Nebraska, 2011-12","docAbstract":"<p>Recently (2004) adopted legislation in Nebraska requires a sustainable balance between long-term supplies and uses of surface-water and groundwater and requires Natural Resources Districts to understand the effect of groundwater use on surface-water systems when developing a groundwater-management plan. The South Platte Natural Resources District (SPNRD) is located in the southern Nebraska Panhandle and overlies the nationally important High Plains aquifer. Declines in water levels have been documented, and more stringent regulations have been enacted to ensure the supply of ground-water will be sufficient to meet the needs of future generations. Because an improved understanding of the hydrogeologic characteristics of this aquifer system is needed to ensure sustainability of groundwater withdrawals, the U.S. Geological Survey, in cooperation with the SPNRD, Conservation and Survey Division of the University of Nebraska-Lincoln, and the Nebraska Environmental Trust, began a hydrogeologic study of the SPNRD to describe the lithology and thickness of the High Plains aquifer. This report documents these characteristics at 29 new test holes, 28 of which were drilled to the base of the High Plains aquifer.</p>\n<br/>\n<p>Herein the High Plains aquifer is considered to include all hydrologically connected units of Tertiary and Quaternary age. The depth to the base of aquifer was interpreted to range from 37 to 610 feet in 28 of the 29 test holes. At some locations, particularly northern Kimball County, the base-of-aquifer surface was difficult to interpret from drill cutting samples and borehole geophysical logs. The depth to the base of aquifer determined for test holes drilled for this report was compared with the base-of-aquifer surface interpreted by previous researchers. In general, there were greater differences between the base-of-aquifer elevation reported herein and those in previous studies for areas north of Lodgepole Creek compared to areas south of Lodgepole Creek. The largest difference was at test hole 5-SP-11, where an Ogallala-filled paleovalley prevously had been interpreted based on relatively sparse test-hole data west of 5-SP-11. The base of aquifer near test hole 5-SP-11 reported herein is approximately 230 ft higher in elevation than previously interpreted. Among other test holes that are likely to have been drilled in Ogallala-filled paleovalleys, the greatest difference in the interpreted base of aquifer was for test hole 7-CC-11, northeast of Potter, Nebraska, where the base of aquifer is 180 feet deeper than previously interpreted.</p>\n<br/>\n<p>Interpretation of test-hole and borehole geophysical data for 29 additional test holes will improve resource managers’ understanding of the hydrogeologic characteristics, including aquifer thickness. Aquifer thickness, which is related to total water in storage, is not well quantified in the north and south tablelands. The additional hydrostratigraphic interpretations provided in this report will improve the hydrogeologic framework used in current (2014) and future groundwater models, which are the basis for many water-management decisions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141103","collaboration":"Prepared in cooperation with the South Platte Natural Resources District, Conservation and Survey Division of the University of Nebraska-Lincoln, and the Nebraska Environmental Trust","usgsCitation":"Hobza, C.M., and Sibray, S.S., 2014, Hydrostratigraphic interpretation of test-hole and borehole geophysical data, Kimball, Cheyenne, and Deuel Counties, Nebraska, 2011-12: U.S. Geological Survey Open-File Report 2014-1103, vi, 45 p., https://doi.org/10.3133/ofr20141103.","productDescription":"vi, 45 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-054067","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":289044,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1103/pdf/ofr2014-1103.pdf"},{"id":289045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141103.jpg"},{"id":289043,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1103/"}],"scale":"750000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0,41.0 ], [ -104.0,41.5 ], [ -102.0,41.5 ], [ -102.0,41.0 ], [ -104.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe154e4b0dad35f8e8ca4","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sibray, Steven S.","contributorId":88589,"corporation":false,"usgs":true,"family":"Sibray","given":"Steven","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":494112,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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