In the Chesapeake Bay Watershed, winter cereal cover crops are often planted in rotation with summer crops to reduce the loss of nutrients and sediment from agricultural systems. Cover crops can also improve soil health, control weeds and pests, supplement forage needs, and support resilient cropping systems. In southeastern Pennsylvania, cover crops can be successfully established following corn (Zea mays L.) silage harvest and are strongly promoted for use in this niche. They are also planted following corn grain, soybean (Glycine max L.), and vegetable harvest. In Pennsylvania, the use of winter cover crops for agricultural conservation has been supported through a combination of outreach, regulation, and incentives. On-farm implementation is thought to be increasing, but the actual extent of cover crops is not well quantified. Satellite imagery can be used to map green winter cover crop vegetation on agricultural fields and, when integrated with additional remote sensing data products, can be used to evaluate wintertime vegetative groundcover following specific summer crops. This study used Landsat and SPOT (System Probatoire d’ Observation de la Terre) satellite imagery, in combination with the USDA National Agricultural Statistics Service Cropland Data Layer, to evaluate the extent and amount of green wintertime vegetation on agricultural fields in four Pennsylvania counties (Berks, Lebanon, Lancaster, and York) from 2010 to 2013. In December of 2010, a windshield survey was conducted to collect baseline data on winter cover crop implementation, with particular focus on identifying corn harvested for silage (expected earlier harvest date and lower levels of crop residue), versus for grain (expected later harvest date and higher levels of crop residue). Satellite spectral indices were successfully used to detect both the amount of green vegetative groundcover and the amount of crop residue on the surveyed fields. Analysis of wintertime satellite imagery showed consistent increases in vegetative groundcover over the four-year study period and determined that trends did not result from annual weather variability, indicating that farmers are increasing adoption of practices such as cover cropping that promote wintertime vegetation. Between 2010 and 2013, the occurrence of wintertime vegetation on agricultural fields increased from 36% to 67% of corn fields in Berks County, from 53% to 75% in Lancaster County, from 42% to 65% in Lebanon County, and from 26% to 52% in York County. Apparently, efforts to promote cover crop use in the Chesapeake Bay Watershed have coincided with a rapid increase in the occurrence of wintertime vegetation following corn harvest in southeastern Pennsylvania. However, despite these increases, between 25% and 48% of corn fields remained without substantial green vegetation over the wintertime, indicating further opportunity for cover crop adoption.
","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.70.6.340","usgsCitation":"Hively, W., Duiker, S., Greg McCarty, and Prabhakara, K., 2015, Remote sensing to monitor cover crop adoption in southeastern Pennsylvania: Journal of Soil and Water Conservation, v. 70, no. 6, p. 340-352, https://doi.org/10.2489/jswc.70.6.340.","productDescription":"13 p.","startPage":"340","endPage":"352","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061440","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.70.6.340","text":"Publisher Index Page"},{"id":311303,"type":{"id":15,"text":"Index Page"},"url":"https://www.jswconline.org/content/70/6/340.full.pdf"},{"id":311321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Southeastern and Central Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2176513671875,\n 39.73253798438173\n ],\n [\n -76.48681640625,\n 40.0360265298117\n ],\n [\n -76.22314453125,\n 40.12429084831405\n ],\n [\n -76.3275146484375,\n 40.32141999593439\n ],\n [\n -76.08032226562499,\n 40.35073056591789\n ],\n [\n -76.08032226562499,\n 40.32560799973207\n ],\n [\n -75.78369140625,\n 40.41767833585551\n ],\n [\n -75.5474853515625,\n 40.27533480732468\n ],\n [\n -75.860595703125,\n 39.757879992021756\n ],\n [\n -75.8660888671875,\n 39.72831341029745\n ],\n [\n -76.2176513671875,\n 39.73253798438173\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.9754638671875,\n 41.31907562295136\n ],\n [\n -77.9425048828125,\n 40.61812224225511\n ],\n [\n -77.0306396484375,\n 40.6723059714534\n ],\n [\n -77.0965576171875,\n 41.36031866306708\n ],\n [\n -77.9754638671875,\n 41.31907562295136\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-06","publicationStatus":"PW","scienceBaseUri":"564717d7e4b0e2669b313129","contributors":{"authors":[{"text":"Hively, Wells whively@usgs.gov","contributorId":149843,"corporation":false,"usgs":true,"family":"Hively","given":"Wells","email":"whively@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":579787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duiker, Sjoerd","contributorId":149844,"corporation":false,"usgs":false,"family":"Duiker","given":"Sjoerd","email":"","affiliations":[{"id":17838,"text":"Dep. of Crop and Soil Sciences, The Pennsylvania State University, 116 ASI Building, University Park, PA 16802-3504","active":true,"usgs":false}],"preferred":false,"id":579788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greg McCarty","contributorId":149845,"corporation":false,"usgs":false,"family":"Greg McCarty","affiliations":[{"id":17839,"text":"USDA-Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Building 007 Room 104 BARC-West, 10300 Baltimore Avenue, Beltsville, MD","active":true,"usgs":false}],"preferred":false,"id":579789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prabhakara, Kusuma","contributorId":6313,"corporation":false,"usgs":true,"family":"Prabhakara","given":"Kusuma","email":"","affiliations":[],"preferred":false,"id":579790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70161997,"text":"70161997 - 2015 - Imaging the magmatic system of Mono Basin, California with magnetotellurics in three--dimensions","interactions":[],"lastModifiedDate":"2016-01-13T09:58:17","indexId":"70161997","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Imaging the magmatic system of Mono Basin, California with magnetotellurics in three--dimensions","docAbstract":"A three–dimensional (3D) electrical resistivity model of Mono Basin in eastern California unveils a complex subsurface filled with zones of partial melt, fluid–filled fracture networks, cold plutons, and regional faults. In 2013, 62 broadband magnetotelluric (MT) stations were collected in an array around southeastern Mono Basin from which a 3D electrical resistivity model was created with a resolvable depth of 35 km. Multiple robust electrical resistivity features were found that correlate with existing geophysical observations. The most robust features are two 300 ± 50 km3 near-vertical conductive bodies (3–10 Ω·m) that underlie the southeast and north-eastern margin of Mono Craters below 10 km depth. These features are interpreted as magmatic crystal–melt mush zones of 15 ± 5% interstitial melt surrounded by hydrothermal fluids and are likely sources for Holocene eruptions. Two conductive east–dipping structures appear to connect each magma source region to the surface. A conductive arc–like structure (< 0.9 Ω·m) links the northernmost mush column at 10 km depth to just below vents near Panum Crater, where the high conductivity suggests the presence of hydrothermal fluids. The connection from the southernmost mush column at 10 km depth to below South Coulée is less obvious with higher resistivity (200 Ω·m) suggestive of a cooled connection. A third, less constrained conductive feature (4–10 Ω·m) 15 km deep extending to 35 km is located west of Mono Craters near the eastern front of the Sierra Nevada escarpment, and is coincident with a zone of sporadic, long–period earthquakes that are characteristic of a fluid-filled (magmatic or metamorphic) fracture network. A resistive feature (103–105 Ω·m) located under Aeolian Buttes contains a deep root down to 25 km. The eastern edge of this resistor appears to structurally control the arcuate shape of Mono Craters. These observations have been combined to form a new conceptual model of the magmatic system beneath Mono Craters to a depth of 30 km.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JB012071","usgsCitation":"Peacock, J.R., Mangan, M.T., McPhee, D., and Ponce, D.A., 2015, Imaging the magmatic system of Mono Basin, California with magnetotellurics in three--dimensions: Journal of Geophysical Research, v. 120, no. 11, p. 7273-7289, https://doi.org/10.1002/2015JB012071.","productDescription":"17 p.","startPage":"7273","endPage":"7289","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064799","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012071","text":"Publisher Index Page"},{"id":314262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mono Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.6136474609375,\n 37.89219554724437\n ],\n [\n -119.6136474609375,\n 38.39764411353181\n ],\n [\n -118.60290527343749,\n 38.39764411353181\n ],\n [\n -118.60290527343749,\n 37.89219554724437\n ],\n [\n -119.6136474609375,\n 37.89219554724437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-07","publicationStatus":"PW","scienceBaseUri":"5697833ce4b039675d00a6e7","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224 jpeacock@usgs.gov","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":4996,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared","email":"jpeacock@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":588286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":588287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":588288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158701,"text":"fs20153071 - 2015 - The Chesapeake Bay impact structure","interactions":[],"lastModifiedDate":"2015-11-02T10:16:42","indexId":"fs20153071","displayToPublicDate":"2015-10-28T03:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3071","title":"The Chesapeake Bay impact structure","docAbstract":"About 35 million years ago, during late Eocene time, a 2-mile-wide asteroid or comet smashed into Earth in what is now the lower Chesapeake Bay in Virginia. The oceanic impact vaporized, melted, fractured, and (or) displaced the target rocks and sediments and sent billions of tons of water, sediments, and rocks into the air. Glassy particles of solidified melt rock rained down as far away as Texas and the Caribbean. Models suggest that even up to 50 miles away the velocity of the intensely hot air blast was greater than 1,500 miles per hour, and ground shaking was equivalent to an earthquake greater than magnitude 8.0 on the Richter scale. Large tsunamis affected most of the North Atlantic basin. The Chesapeake Bay impact structure is among the 20 largest known impact structures on Earth.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153071","usgsCitation":"Powars, D.S., Edwards, L.E., Gohn, G.S., and Horton, J.W., Jr., 2015, The Chesapeake Bay impact structure: U.S. Geological Survey Fact Sheet 2015–3071, 2 p., https://dx.doi.org/10.3133/fs20153071.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069422","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":310712,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.3133/gip159","text":"General Information Product 159 - Bookmark","size":"348 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3071"},{"id":310711,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3071/fs20153071.pdf","text":"Report","size":"1.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3071"},{"id":310710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3071/coverthb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.003173828125,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 36.641977814705946\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://geology.er.usgs.gov/egpsc
About 35 million years ago, a 2-mile-wide meteorite smashed into Earth in what is now the lower Chesapeake Bay in Virginia. The oceanic impact vaporized, melted, fractured, and displaced rocks and sediments and sent billions of tons of water, sediments, and rocks into the air. Glassy particles of solidified melt rock rained down as far away as Texas and the Caribbean. Large tsunamis affected most of the North Atlantic basin. The resulting impact structure is more than 53 miles wide and has a 23-mile-wide, filled central crater surrounded by collapsed sediments. Now buried by hundreds of feet of younger sediments, the Chesapeake Bay impact structure is among the 20 largest known impact structures on Earth.
\nSince its discovery in the early 1990s, scientists have conducted deep drilling and geophysical surveys of the impact structure to find out more about its size, composition, structure, age, and biological effects and to understand its lingering influences on the regional groundwater system. These efforts culminated in the drilling of a 1-mile-deep, continuously sampled corehole in 2005 by an international group of scientists and agencies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip159","issn":"2332–3531","isbn":"2332–354X","usgsCitation":"Powars, D.S., Edwards, L.E., Gohn, G.S., and Horton, J.W., Jr., 2015, Chesapeake Bay impact structure—A blast from the past: U.S. Geological Survey General Information Product 159, 2 p., https://dx.doi.org/10.3133/gip159.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-069162","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":310647,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0159/gip159.pdf","text":"Report","size":"346 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 159","linkHelpText":"Chesapeake Bay Impact Structure: A Blast from the Past - Bookmark"},{"id":310648,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.3133/fs20153071","text":"Fact Sheet 2015-3071","size":"1.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 159"},{"id":310646,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0159/coverthb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.003173828125,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 36.641977814705946\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://geology.er.usgs.gov/egps
A series of 10 digital flood-inundation maps were developed for a 3.3-mile reach of the North River in Colrain, Charlemont, and Shelburne, Massachusetts, by the U.S. Geological Survey in cooperation with the Federal Emergency Management Agency. The coverage of the maps extends from the confluence of the East and West Branch North Rivers to the Deerfield River. Peak-flow estimates at the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed for the reach from updated flood-frequency analyses. These peak flows were routed through a one-dimensional step-backwater hydraulic model to obtain the corresponding peak water-surface elevations and to place the tropical storm Irene flood of August 28, 2011, into historical context. The hydraulic model was calibrated by using the current [2015] stage-discharge relation at the U.S. Geological Survey streamgage North River at Shattuckville, MA (station number 01169000), and from documented high-water marks from the tropical storm Irene flood, which had a peak flow with approximately a 0.2-percent annual exceedance probability.
\nA hydraulic model was used to compute water-surface profiles for 10 flood stages referenced to the streamgage and ranging from 6.6 feet (ft; 464.5 ft North American Vertical Datum of 1988 [which is approximately bankfull]) to 18.3 ft (476.2 ft North American Vertical Datum of 1988 [which is the stage of the 0.2-percent annual exceedance probability peak flow and exceeds the maximum recorded water level at the streamgage and the National Weather Service major flood stage of 13.0 ft]. The mapped stages of 6.6 to 18.3 ft were selected to match the stages of flows for bankfull; the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities; and an incremental stage of 17.0 ft. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data with a 0.5-ft vertical accuracy to create a set of flood-inundation maps.
\nThe availability of the flood-inundation maps, combined with information regarding near-real-time stage from the U.S. Geological Survey North River at Shattuckville, MA streamgage can provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, and postflood recovery efforts. The flood-inundation maps are nonregulatory, but provide Federal, State, and local agencies and the public with estimates of the potential extent of flooding during selected peak-flow events. Introduction
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155108","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Bent, G.C., Lombard, P.J., and Dudley, R.W., 2015, Flood-inundation maps for the North River in Colrain, Charlemont, and Shelburne, Massachusetts, from the confluence of the East and West Branch North Rivers to the Deerfield River: U.S. Geological Survey Scientific Investigations Report 2015–5108, 16 p., appendixes, https://dx.doi.org/10.3133/sir20155108.","productDescription":"Report: v, 15 p.; Appendixes: 1-2; Application site; Metadata; Spacial data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061968","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":310349,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5108/sir20155108.pdf","text":"Report","size":"4.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5108"},{"id":310384,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5108/attachments/sir20155108_flood-inundation-gis.zip","text":"Flood Inundation - GIS","size":"4.64 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5108"},{"id":310385,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5108/attachments/sir20155108_flood-inundation-gis-metadata.xml","text":"Flood Inundation - GIS Metadata (xml)","size":"12.5 KB","description":"SIR 2015-5108"},{"id":310386,"rank":8,"type":{"id":4,"text":"Application Site"},"url":"https://wimcloud.usgs.gov/apps/FIM/FloodInundationMapper.html","text":"Flood Inundation Mapper","linkFileType":{"id":5,"text":"html"}},{"id":310383,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5108/attachments/sir20155108_appendix2-shapefiles.zip","text":"Appendix 2 - Shapefiles","size":"31 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5108"},{"id":310382,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5108/attachments/sir20155108_appendix2-metadata.xml","text":"Appendix 2 - Metadata (xml)","size":"11.8 KB","description":"SIR 2015-5108"},{"id":310350,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5108/attachments/sir20155108_app1.xlsx","text":"Appendix 1","size":"13.4 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5108"},{"id":310629,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5108/images/coverthb.jpg"}],"country":"United States","state":"Massachusetts","city":"Colrain, Charlemont, Shelburne, Shattuckville","otherGeospatial":"North River, Deerfield River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.0810546875,\n 42.285437007491545\n ],\n [\n -72.421875,\n 42.285437007491545\n ],\n [\n -72.421875,\n 42.70665956351041\n ],\n [\n -73.0810546875,\n 42.70665956351041\n ],\n [\n -73.0810546875,\n 42.285437007491545\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at
http://newengland.water.usgs.gov/
Decreasing trends in acidic deposition levels over the past several decades have led to partial chemical recovery of surface waters. However, depletion of soil Ca from acidic deposition has slowed surface water recovery and led to the impairment of both aquatic and terrestrial ecosystems. Nevertheless, documentation of acidic deposition effects on soils has been limited, and little is known regarding soil responses to ongoing acidic deposition decreases. In this study, resampling of soils in eastern Canada and the northeastern U.S. was done at 27 sites exposed to reductions in wet SO42– deposition of 5.7–76%, over intervals of 8–24 y. Decreases of exchangeable Al in the O horizon and increases in pH in the O and B horizons were seen at most sites. Among all sites, reductions in SO42– deposition were positively correlated with ratios (final sampling/initial sampling) of base saturation (P < 0.01) and negatively correlated with exchangeable Al ratios (P < 0.05) in the O horizon. However, base saturation in the B horizon decreased at one-third of the sites, with no increases. These results are unique in showing that the effects of acidic deposition on North American soils have begun to reverse.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b02904","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Lawrence, G.B., Hazlett, P.W., Fernandez, I.J., , O., Bailey, S.W., Shortle, W.C., Smith, K.T., and Antidormi, M.R., 2015, Declining acidic deposition begins reversal of forest-soil acidification in the northeastern U.S. and eastern Canada: Environmental Science & Technology, v. 49, no. 22, p. 13103-13111, https://doi.org/10.1021/acs.est.5b02904.","productDescription":"9 p.","startPage":"13103","endPage":"13111","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067512","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":312540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312539,"type":{"id":15,"text":"Index 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Ouimet","contributorId":140810,"corporation":false,"usgs":false,"given":"Ouimet","email":"","affiliations":[{"id":13582,"text":"Director of Forestry Research, Dept of Natural Resources & Wildlife, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":582922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":582923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shortle, Walter C.","contributorId":64130,"corporation":false,"usgs":true,"family":"Shortle","given":"Walter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":582924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Kevin T.","contributorId":58512,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582926,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159972,"text":"70159972 - 2015 - Woodland salamander responses to a shelterwood harvest-prescribed burn silvicultural treatment within Appalachian mixed-oak forests","interactions":[],"lastModifiedDate":"2015-12-07T11:34:11","indexId":"70159972","displayToPublicDate":"2015-10-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Woodland salamander responses to a shelterwood harvest-prescribed burn silvicultural treatment within Appalachian mixed-oak forests","docAbstract":"Forest management practices that mimic natural canopy disturbances, including prescribed fire and timber harvests, may reduce competition and facilitate establishment of favorable vegetative species within various ecosystems. Fire suppression in the central Appalachian region for almost a century has contributed to a transition from oak-dominated to more mesophytic, fire-intolerant forest communities. Prescribed fire coupled with timber removal is currently implemented to aid in oak regeneration and establishment but responses of woodland salamanders to this complex silvicultural system is poorly documented. The purpose of our research was to determine how woodland salamanders respond to shelterwood harvests following successive burns in a central Appalachian mixed-oak forest. Woodland salamanders were surveyed using coverboard arrays in May, July, and August–September 2011 and 2012. Surveys were conducted within fenced shelterwood-burn (prescribed fires, shelterwood harvest, and fencing to prevent white-tailed deer [Odocoileus virginianus] herbivory), shelterwood-burn (prescribed fires and shelterwood harvest), and control plots. Relative abundance was modeled in relation to habitat variables measured within treatments for mountain dusky salamanders (Desmognathus ochrophaeus), slimy salamanders (Plethodon glutinosus), and eastern red-backed salamanders (Plethodon cinereus). Mountain dusky salamander relative abundance was positively associated with canopy cover and there were significantly more individuals within controls than either shelterwood-burn or fenced shelterwood-burn treatments. Conversely, habitat variables associated with slimy salamanders and eastern red-backed salamanders did not differ among treatments. Salamander age-class structure within controls did not differ from shelterwood-burn or fenced shelterwood-burn treatments for any species. Overall, the woodland salamander assemblage remained relatively intact throughout the shelterwoodburn silvicultural treatment compared to previous research within the same study area that examined pre-harvest fire effects. However, because of the multi-faceted complexities of this specific silvicultural system, continued research is warranted that evaluates long-term, additive impacts on woodland salamanders within managed central Appalachian deciduous forests.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2015.09.042","usgsCitation":"Ford, W.M., Mahoney, K.R., Russell, K.R., Rodrigue, J.L., Riddle, J.D., Schuler, T.M., and Adams, M.B., 2015, Woodland salamander responses to a shelterwood harvest-prescribed burn silvicultural treatment within Appalachian mixed-oak forests: Forest Ecology and Management, v. 359, p. 277-285, https://doi.org/10.1016/j.foreco.2015.09.042.","productDescription":"9 p.","startPage":"277","endPage":"285","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064028","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471710,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.foreco.2015.09.042","text":"External Repository"},{"id":311940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Fernow Experimental Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.66529846191406,\n 39.08850195155844\n ],\n [\n -79.67679977416992,\n 39.07331107941456\n ],\n [\n -79.64693069458006,\n 39.06038293728521\n ],\n [\n -79.63800430297852,\n 39.07704247384315\n ],\n [\n -79.64967727661133,\n 39.079974145329246\n ],\n [\n -79.65087890624999,\n 39.08557063444842\n ],\n [\n -79.66323852539062,\n 39.08836871251442\n ],\n [\n -79.66529846191406,\n 39.08850195155844\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"359","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5662c75be4b06a3ea36c67cf","contributors":{"authors":[{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":581333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahoney, Kathleen R.","contributorId":150350,"corporation":false,"usgs":false,"family":"Mahoney","given":"Kathleen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":581344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Kevin R.","contributorId":150351,"corporation":false,"usgs":false,"family":"Russell","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":581345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":581346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riddle, Jason D.","contributorId":146462,"corporation":false,"usgs":false,"family":"Riddle","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":581347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuler, Thomas M.","contributorId":150353,"corporation":false,"usgs":false,"family":"Schuler","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":581348,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Mary Beth","contributorId":150354,"corporation":false,"usgs":false,"family":"Adams","given":"Mary","email":"","middleInitial":"Beth","affiliations":[],"preferred":false,"id":581349,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70158969,"text":"sir20155132 - 2015 - Discharge, suspended sediment, and salinity in the Gulf Intracoastal Waterway and adjacent surface waters in South-Central Louisiana, 1997–2008","interactions":[],"lastModifiedDate":"2015-10-20T08:36:46","indexId":"sir20155132","displayToPublicDate":"2015-10-19T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5132","title":"Discharge, suspended sediment, and salinity in the Gulf Intracoastal Waterway and adjacent surface waters in South-Central Louisiana, 1997–2008","docAbstract":"Discharge, suspended sediment, and salinity data collected between 1997 and 2008 indicate that the Gulf Intracoastal Waterway (GIWW) is an important distributary of river water and suspended sediments to coastal wetlands in south-central coastal Louisiana. Following natural hydraulic gradients, the GIWW passively distributes freshwater and suspended sediments from the Atchafalaya River to areas at least 30 to 50 miles west and east, respectively, of Morgan City. The magnitude and reach of the discharge in the GIWW increase as stage of the Wax Lake Outlet at Calumet and Lower Atchafalaya River (LAR) at Morgan City increase. The magnitude and duration of discharge vary from year to year depending on the flow regime of the Atchafalaya River. Annual discharge of water in the GIWW was greater during years when stage of the LAR remained anomalously high throughout the year, compared with average and peak flood years. During years when Atchafalaya River flow is low, Bayou Boeuf, a waterway draining the Verret subbasin, becomes a major source of water maintaining the eastward flow in the GIWW. The GIWW is the only means of getting river water to some parts of coastal Louisiana.
\nThe length of time stage of the LAR at Morgan City exceeds a given height has increased from the 1940s to 2008. This shift has increased the length of time the GIWW functions as a predictable distributary of river water each year. Similar shifts in the future could be expected to increase the duration and amounts of river water reaching coastal Louisiana wetlands through the GIWW.
\nMedian suspended-sediment concentrations in the GIWW to the west of Morgan City were around 160 milligrams per liter (mg/L). In the GIWW east of Morgan City, median concentrations were 120–160 mg/L, except in Bayou Boeuf at Railroad Bridge in Amelia and the parts of the GIWW between Bayou Boeuf and the Houma Navigation Canal; median concentrations here were around 100 mg/L.
\nRiver water penetrates much of the Louisiana coast, as demonstrated by the large year-to-year fluctuations in salinity regimes of intradistributary basins in response to differences in flow regimes of the Mississippi and the Atchafalaya Rivers. This occurs directly through inflow along the GIWW and through controlled diversions and indirectly by transport into basin interiors after mixing with the Gulf of Mexico. The GIWW plays an important role in moderating salinity in intradistributary basins; for example, salinity in surface waters just south of the GIWW between Bayou Boeuf and the Houma Navigation Canal remained low even during a year with prolonged low water (2000).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155132","usgsCitation":"Swarzenski, C.M., and Perrien, S.M., 2015, Discharge, suspended sediment, and salinity in the Gulf Intracoastal Waterway and adjacent surface waters in south-central Louisiana, 1997–2008: U.S. Geological Survey Scientific Investigations Report 2015–5132, 21 p., https://dx.doi.org/10.3133/sir20155132.","productDescription":"v, 21 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":309802,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5132/sir20155132.pdf","text":"Report","size":"1.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5132"},{"id":309801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5132/coverthb.jpg"}],"country":"United States","state":"Louisiana","city":"Houma City, Morgan City","otherGeospatial":"Atchafalaya River, Cypremort Point, Bayou Lafourche, Verret subbasin, Barataria Basin, Terrebonne Basin, Vermilion-Teche Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.26318359375,\n 28.998531814051795\n ],\n [\n -92.26318359375,\n 30.65681556429287\n ],\n [\n -89.80224609374999,\n 30.65681556429287\n ],\n [\n -89.80224609374999,\n 28.998531814051795\n ],\n [\n -92.26318359375,\n 28.998531814051795\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
http://la.water.usgs.gov/
The extent, hydrogeologic framework, and potential well yields of valley-fill aquifers within a 151-square-mile area of eastern Chemung County, New York, were investigated, and the upland distribution of till thickness over bedrock was characterized. The hydrogeologic framework of these valleyfill aquifers was interpreted from multiple sources of surficial and subsurface data and an interpretation of the origin of the glacial deposits, particularly during retreat of glacial ice from the region. Potential yields of screened wells are based on the hydrogeologic framework interpretation and existing well-yield data, most of which are from wells finished with open-ended well casing.
\nWater-resource potential is greatest within saturated sand and gravel in the Chemung River valley (nearly 1 mile wide), especially where induced infiltration of additional water from the Chemung River is possible. The second most favorable area is the Newtown Creek valley at the confluence of Newtown Creek with North Branch Newtown Creek east of Horseheads, N.Y. Extensive sand and gravel deposits within the Breesport, N.Y., area are largely unsaturated but may have greater saturation along the east side of Jackson Creek immediately north of Breesport. Till deposits confine sand and gravel along Newtown Creek at Erin, N.Y., and along much of the upper reach of North Branch Newtown Creek; this confining unit may limit recharge and potential well yield. The north-south oriented valleys of Baldwin and Wynkoop Creeks end at notched divides that imply input of glacial meltwater and limited sediment from outside of the present watersheds. These two valleys are relatively narrow but contain variably sorted sand and gravel, which, in places, may be capable of supplying modest-size community water systems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155092","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2015, Hydrogeology of valley-fill aquifers and adjacent areas in eastern Chemung County, New York: U.S. Geological Survey Scientific Investigations Report 2015–5092, 19 p. plus appendix and 1 pl., https://dx.doi.org/10.3133/sir20155092.","productDescription":"Report: vi, 18 p.; Plate: 36 x 48 inches; HTML Document; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056841","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":310038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5092/images/coverthb.jpg"},{"id":310043,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5092/pdf/sir20155092.pdf","text":"Report","size":"7.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5092"},{"id":310039,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5092/plate.html","text":"SIR 2015-5092 - Plate Instructions","linkFileType":{"id":5,"text":"html"},"description":"SIR 2015-5092"},{"id":310048,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5092/pdf/sir20155092_plate1.pdf","text":"SIR 2015-5092 - Plate 1 - 36” x 48”","size":"63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5092"},{"id":310040,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5092/attachments/sir20155092_appendix1.xlsx","text":"SIR 2015-5092 - Appendix 1","size":"86 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5092"}],"country":"United States","state":"New York","county":"Chemung County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.53051757812499,\n 42.00032514831621\n ],\n [\n -77.53051757812499,\n 42.706659563510385\n ],\n [\n -76.22863769531249,\n 42.706659563510385\n ],\n [\n -76.22863769531249,\n 42.00032514831621\n ],\n [\n -77.53051757812499,\n 42.00032514831621\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
(518) 285-5602
Visit our Web site at:
http://ny.water.usgs.gov
The Alamosa 30'× 60' quadrangle is located in the central San Luis Basin of southern Colorado and is bisected by the Rio Grande. The Rio Grande has headwaters in the San Juan Mountains of Colorado and ultimately discharges into the Gulf of Mexico 3,000 kilometers (km) downstream. Alluvial floodplains and associated deposits of the Rio Grande and east-draining tributaries, La Jara Creek and Conejos River, occupy the north-central and northwestern part of the map area. Alluvial deposits of west-draining Rio Grande tributaries, Culebra and Costilla Creeks, bound the Costilla Plain in the south-central part of the map area. The San Luis Hills, a northeast-trending series of flat-topped mesas and hills, dominate the landscape in the central and southwestern part of the map and preserve fault-bound Neogene basin surfaces and deposits. The Precambrian-cored Sangre de Cristo Mountains rise to an elevation of nearly 4,300 meters (m), almost 2,000 m above the valley floor, in the eastern part of the map area. In total, the map area contains deposits that record surficial, tectonic, sedimentary, volcanic, magmatic, and metamorphic processes over the past 1.7 billion years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3342","usgsCitation":"Thompson, R.A., Shroba, R.R., Machette, M.N., Fridrich, C.J., Brandt, T.R., and Cosca, M.A., 2015, Geologic map of the Alamosa 30’ × 60’ quadrangle, south-central Colorado: U.S. Geological Survey Scientific Investigations Map 3342, 23 p., scale 1:100,000, https://doi.org/10.3133/sim3342. (Supersedes Open-File Report 2005–1392, and Open-File Report 2008–1124.)","productDescription":"Report: iv, 22 p.; 2 Plates: 56.00 x 39.74 inches; Metadata; Spatial Data; Read Me","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059975","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":309828,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3342/sim3342.met"},{"id":309827,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3342/00ReadMe.txt","size":"8.46 kB","description":"SIM 3342 Read Me"},{"id":309826,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sim/3342/datafiles","text":"Geospatial database"},{"id":309825,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3342/sim3342_map_hillshade.pdf","text":"Map with hillshade","size":"106 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3342 Map Hillshade"},{"id":309824,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3342/sim3342_map.pdf","text":"Map","size":"83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3343 Plate"},{"id":309823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3342/sim3342.pdf","text":"Report","size":"11.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3342"},{"id":309822,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3342/coverthb.jpg"}],"scale":"100000","country":"United States","state":"Colorado","otherGeospatial":"Alamosa, Rio Grand River, San Juan Mountains, San Luis,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.32568359375,\n 36.99816565700228\n ],\n [\n -106.32568359375,\n 37.898697801966094\n ],\n [\n -104.80957031249999,\n 37.898697801966094\n ],\n [\n -104.80957031249999,\n 36.99816565700228\n ],\n [\n -106.32568359375,\n 36.99816565700228\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225
http://gec.cr.usgs.gov/
We have identified block structure in the Pacific Northwest (west of 116°W between 38°N and 49°N) by clustering GPS stations so that the same Euler vector approximates the velocity of each station in a cluster. Given the total number k of clusters desired, the clustering procedure finds the best assignment of stations to clusters. Clustering is calculated for k= 2 to 14. In geographic space, cluster boundaries that remain relatively stable as k is increased are tentatively identified as block boundaries. That identification is reinforced if the cluster boundary coincides with a geologic feature. Boundaries identified in northern California and Nevada are the Central Nevada Seismic Belt, the west side of the Northern Walker Lane Belt, and the Bartlett Springs Fault. Three blocks cover all of Oregon and Washington. The principal block boundary there extends west-northwest along the Brothers Fault Zone, then north and northwest along the eastern boundary of Siletzia, the accreted oceanic basement of the forearc. East of this boundary is the Intermountain block, its eastern boundary undefined. A cluster boundary at Cape Blanco subdivides the forearc along the faulted southern margin of Siletzia. South of Cape Blanco the Klamath Mountains-Basin and Range block extends east to the Central Nevada Seismic Belt and south to the Sierra Nevada-Great Valley block. The Siletzia block north of Cape Blanco coincides almost exactly with the accreted Siletz terrane. The cluster boundary in the eastern Olympic Peninsula may mark permanent shortening of Siletzia against the Intermountain block.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JB012277","usgsCitation":"Savage, J.C., and Wells, R.E., 2015, Identifying block structure in the Pacific Northwest, USA: Journal of Geophysical Research, v. 120, no. 11, p. 7905-7916, https://doi.org/10.1002/2015JB012277.","productDescription":"12 p.","startPage":"7905","endPage":"7916","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069469","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471719,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012277","text":"Publisher Index Page"},{"id":309896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.61767578124999,\n 49.03786794532644\n ],\n [\n -118.85009765625,\n 48.980216985374994\n ],\n [\n -119.091796875,\n 48.472921272487824\n ],\n [\n -120.25634765624999,\n 46.965259400349275\n ],\n [\n -120.73974609374999,\n 45.336701909968106\n ],\n [\n -120.87158203125,\n 42.94033923363183\n ],\n [\n -120.0146484375,\n 40.979898069620155\n ],\n [\n -117.92724609375,\n 40.12849105685408\n ],\n [\n -117.31201171875001,\n 39.53793974517628\n ],\n [\n -117.92724609375,\n 38.28993659801203\n ],\n [\n -120.41015624999999,\n 37.68382032669382\n ],\n [\n -122.49755859375,\n 37.405073750176946\n ],\n [\n -123.50830078125,\n 38.65119833229951\n ],\n [\n -123.85986328124999,\n 39.095962936305504\n ],\n [\n -123.99169921875,\n 39.825413103424786\n ],\n [\n -124.47509765625,\n 40.396764305572056\n ],\n [\n -124.3212890625,\n 41.062786068733026\n ],\n [\n -124.18945312500001,\n 41.80407814427237\n ],\n [\n -124.69482421875,\n 42.98857645832184\n ],\n [\n -124.365234375,\n 43.75522505306928\n ],\n [\n -124.16748046874999,\n 45.089035564831036\n ],\n [\n -124.21142578125,\n 46.5739667965278\n ],\n [\n -124.47509765625,\n 47.53203824675999\n ],\n [\n -124.87060546874999,\n 48.06339653776211\n ],\n [\n -125.61767578124999,\n 49.03786794532644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-13","publicationStatus":"PW","scienceBaseUri":"5620c026e4b06217fc478aa8","contributors":{"authors":[{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":577545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":141072,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":577546,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156002,"text":"sir20155102 - 2015 - Initial characterization of the groundwater system near the Lower Colorado Water Supply Project, Imperial Valley, California","interactions":[],"lastModifiedDate":"2015-10-14T14:50:13","indexId":"sir20155102","displayToPublicDate":"2015-10-14T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5102","title":"Initial characterization of the groundwater system near the Lower Colorado Water Supply Project, Imperial Valley, California","docAbstract":"In 2009, the U.S. Geological Survey, in cooperation with the city of Needles, began a study of the hydrogeology along the All-American Canal, which conveys water from the Colorado River to the Imperial Valley. The focus of this study was to gain a better understanding of the effect of lining the All-American Canal, and other management actions, on future total dissolved solids concentrations in groundwater pumped by Lower Colorado Water Supply Project wells that is delivered to the All-American Canal. The study included the compilation and evaluation of previously published hydrogeologic and geochemical information, establishment of a groundwater-elevation and groundwater-quality monitoring network, results of monitoring groundwater elevations and groundwater quality from 2009 to 2011, site-specific hydrologic investigations of the Lower Colorado Water Supply Project area, examination of groundwater salinity by depth by using time-domain electromagnetic surveys, and monitoring of groundwater-storage change by using microgravity methods.
\nPrior to the completion of the All-American Canal in 1940, groundwater in the study area flowed from east to west, and groundwater was recharged primarily by underflow from the Colorado River Valley. After construction of the All-American Canal, groundwater elevations were altered in the study area as seepage of Colorado River water from the All-American Canal and other canals became the dominant recharge source. By 2005, groundwater elevations had increased by as much as 50–70 feet along the All-American Canal. Superimposed on the east-to-west groundwater gradient was groundwater movement away from the All-American Canal to the north and, most likely, to the south into Mexico. After lining the All-American Canal, from 2007 to 2010, groundwater elevations declined as seepage from the All-American Canal decreased. Between 2005 (the last complete groundwater-elevation survey prior to lining the All-American Canal) and 2011, groundwater elevations declined 20–40 feet along the All-American Canal and as much as 40–45 feet in the vicinity of Lower Colorado Water Supply Project pumping wells.
\nWater-quality and isotope data were used to differentiate historically recharged groundwater from groundwater more recently recharged by seepage of Colorado River surface water from the All-American Canal. Prior to the completion of the All-American Canal in 1940, groundwater in the southern part of the study area was primarily sodium-chloride/sulfate type water that had relatively low total dissolved solids concentrations (500–820 milligrams per liter). During 2007–11, groundwater in the southern part of the study area, near the All-American Canal, ranged from sodium-chloride type water to mixed-cation-sulfate type water that had total dissolved solids concentrations generally less than 879 milligrams per liter. The stable-isotopic signature of groundwater near the All-American Canal sampled in 2009–11 indicated inputs of Colorado River water that had been affected by evaporation, and radioactive isotopes indicated that a substantial fraction of water had been recharged recently, within the past 60 years. This contrasted with historically recharged groundwater near the All-American Canal, which had higher sodium and chloride concentrations, and lower calcium and sulfate concentrations, than recent recharge from the All-American Canal.
\nGroundwater at a distance from the All-American Canal, in the East Mesa, Algodones Dunes, Pilot Knob Mesa, and Cargo Muchacho Mountains piedmont, was found to have higher total dissolved solids concentrations (generally greater than 1,000 milligrams per liter) than recently recharged groundwater near the All-American Canal. Time-domain electromagnetic data indicated that low-salinity groundwater was present down to about 377 feet below land surface near the All-American Canal; groundwater salinity at depth increased with distance north from the All-American Canal. Groundwater several miles or more from the canal also did not contain tritium and had a residence time on the order of thousands to tens of thousands of years. The groundwater in the piedmont of the Cargo Muchacho Mountains had a distinctly light stable-isotopic signature indicative of recharge by runoff from local precipitation, whereas the stable isotopic signature of groundwater in the East Mesa and the Algodones Dunes indicated a mixture of local precipitation and historic Colorado River recharge sources.
\nDuring and after lining the All-American Canal (2007–11), groundwater elevations in the Lower Colorado Water Supply Project area declined, while total dissolved solids concentrations remained relatively constant. The total dissolved solids concentrations in well LCWSP-2 ranged from 650 to 800 milligrams per liter during this study. Depth-specific water-quality and isotope sampling at well LCWSP-2 indicated the groundwater pumped from the deeper part of the screened interval (240–280 feet below land surface) contained a greater proportion of historical groundwater than the groundwater pumped from the shallower part of the screened interval (350–385 feet below land surface). Age-tracer data at well LCWSP-2 indicated that all depths of the screened interval had received recent recharge from seepage of Colorado River water from the All-American Canal.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155102","collaboration":"Prepared in cooperation with the city of Needles, California","usgsCitation":"Coes, A.L., Land, M., Densmore, J.N., Landrum, M.T., Beisner, K.R., Kennedy, J.R., Macy, J.P., and Tillman, F., 2015, Initial characterization of the groundwater system near the Lower Colorado Water Supply Project, Imperial Valley, California: U.S. Geological Survey Scientific Investigations Report 2015-5102, Report: viii, 59 p.; Appendix: 1, https://doi.org/10.3133/sir20155102.","productDescription":"Report: viii, 59 p.; Appendix: 1","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-019073","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":309788,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5102/sir20155102_appendix1.xlsx","text":"Appendix 1","size":"56 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5102 Appendix 1"},{"id":309894,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5102/coverthb2.jpg"},{"id":309787,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5102/sir20155102.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5102"}],"country":"United States","state":"California","otherGeospatial":"Imperial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.87829589843751,\n 32.72721987021932\n ],\n [\n -115.87829589843751,\n 33.06852769197118\n ],\n [\n -114.71923828124999,\n 33.06852769197118\n ],\n [\n -114.71923828124999,\n 32.72721987021932\n ],\n [\n -115.87829589843751,\n 32.72721987021932\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, constructed Precipitation-Runoff Modeling System models to estimate daily streamflow for nine river basins in eastern Iowa that drain into the Mississippi River. The models are part of a suite of methods for estimating daily streamflow at ungaged sites. The Precipitation-Runoff Modeling System is a deterministic, distributed- parameter, physical-process-based modeling system developed to evaluate the response of streamflow and general drainage basin hydrology to various combinations of climate and land use. Calibration and validation periods used in each basin mostly were October 1, 2002, through September 30, 2012, but differed depending on the period of record available for daily mean streamflow measurements at U.S. Geological Survey streamflow-gaging stations.
\nA geographic information system tool was used to delineate each basin and estimate values for model parameters based on basin physical and geographical features. A U.S. Geological Survey auto-calibration tool that uses a shuffled complex evolution algorithm was used for initial calibration, and then manual modifications were made to parameter values to complete the calibration of each basin model. The main objective of the calibration was to match daily discharge values of simulated streamflow to measured daily discharge values.
\nThe accuracy of Precipitation-Runoff Modeling System model streamflow estimates of nine river basins in eastern Iowa as compared to measured values at U.S. Geological Survey streamflow-gaging stations varied. The Precipitation-Runoff Modeling System models of nine river basins in eastern Iowa were satisfactory at estimating daily streamflow at 57 of the 79 calibration sites and 13 of the 14 validation sites based on statistical results. Unsatisfactory performance can be contributed to several factors: (1) low flow, no flow, and flashy flow conditions in headwater subbasins having a small drainage area; (2) poor representation of the groundwater and storage components of flow within a basin; (3) lack of accounting for basin withdrawals and water use; and (4) the availability and accuracy of meteorological input data. The Precipitation- Runoff Modeling System models of nine river basins in eastern Iowa will provide water-resource managers with a consistent and documented method for estimating streamflow at ungaged sites and aid in environmental studies, hydraulic design, water management, and water-quality projects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155129","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Haj, A.E., Christiansen, D.E., and Hutchinson, K.J., 2015, Simulation of daily streamflow for nine river basins in eastern\nIowa using the Precipitation-Runoff Modeling System: U.S. Geological Survey Scientific Investigations Report\n2015–5129, 29 p., https://dx.doi.org/10.3133/sir20155129.","productDescription":"iv, 29 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067401","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":309818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5129/coverthb.jpg"},{"id":309819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5129/sir20155129.pdf","text":"Report","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5129"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.263427734375,\n 43.810747313446996\n ],\n [\n -96.04248046875,\n 43.96909818325174\n ],\n [\n -94.50439453125,\n 41.07935114946899\n ],\n [\n -92.64770507812499,\n 40.59727063442027\n ],\n [\n -91.40625,\n 40.245991504199026\n ],\n [\n -90.94482421875,\n 40.98819156349393\n ],\n [\n -91.12060546875,\n 41.3025710943056\n ],\n [\n -91.01074218749999,\n 41.45919537950706\n ],\n [\n -90.3515625,\n 41.566141964768384\n ],\n [\n -90.120849609375,\n 42.02481360781777\n ],\n [\n -90.439453125,\n 42.35042512243457\n ],\n [\n -90.72509765625,\n 42.62587560259137\n ],\n [\n -91.03271484375,\n 42.71473218539458\n ],\n [\n -91.175537109375,\n 43.14909399920127\n ],\n [\n -91.0546875,\n 43.31718491566708\n ],\n [\n -91.25244140624999,\n 43.46089378008257\n ],\n [\n -91.263427734375,\n 43.810747313446996\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Iowa Water Science Center
U.S. Geological Survey
P.O. Box 1230
Iowa City, IA 52244
http://ia.water.usgs.gov/
The decommissioning and planned removal of the Hogansburg Dam on the St. Regis River in New York has stimulated interest in the potential effects of that barrier removal on the St. Regis watershed. There will be immediate and systemic effects of the Hogansburg Dam removal, which may include inundation of habitats below the dam or dewatering of habitats above the dam, possibly affecting local fish assemblages and (or) local native mussel assemblages; and expansion of stream network connectivity, which has the potential to open a large area of the watershed to migratory aquatic species. Information was collected about biota, water quality, sediment distribution, riverbed dimensions in the vicinity of the dam, and habitat characteristics of headwater sample sites. Complete fish assemblages were collected, but species of special concern associated with the connectivity changes included, American Eel, Atlantic Salmon, Brook Trout, Eastern Sand Darter, and Lake Sturgeon. Freshwater mussels in the vicinity of the dam also were examined and may be at risk of exposure (without a rescue plan) after dam removal. Reservoir sediment will be transported downstream and will alter aquatic habitat as it moves through the system. The dam removal will open more than 440 kilometers of stream habitat to migratory species, allowing them to more easily complete their life cycles. Fish assemblages above the dam may be altered by migrating fishes, but resident Brook Trout are not expected to be adversely affected.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155116","collaboration":"Prepared in cooperation with the St. Regis Mohawk Tribe-Environment Division","usgsCitation":"McKenna, J.E., Jr., Hanak, Kaitlin, DeVilbiss, Katharine, David, Anthony, and Johnson, J.H., 2015, Dam removal, connectivity, and aquatic resources in the St. Regis River watershed, New York: U.S. Geological Survey Scientific Investigations Report 2015–5116, 15 p., https://dx.doi.org/10.3133/sir20155116.","productDescription":"vii, 15 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064092","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":309726,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5116/sir20155116.pdf","text":"Report","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5116"},{"id":309725,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5116/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"St. Regis River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4541015625,\n 43.94537239244209\n ],\n [\n -75.4541015625,\n 44.99588261816546\n ],\n [\n -73.267822265625,\n 44.99588261816546\n ],\n [\n -73.267822265625,\n 43.94537239244209\n ],\n [\n -75.4541015625,\n 43.94537239244209\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Great Lakes Science Center
U.S. Geological Survey
1451 Green Road
Ann Arbor, MI 48105
http://www.glsc.usgs.gov/
The east side of the Uncompahgre River Basin has been a known contributor of dissolved selenium to recipient streams. Discharge of groundwater containing dissolved selenium contributes to surface-water selenium concentrations and loads; however, the groundwater system on the east side of the Uncompahgre River Basin is not well characterized. The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board and the Bureau of Reclamation, has established a groundwater-monitoring network on the east side of the Uncompahgre River Basin. Thirty wells total were installed for this project: 10 in 2012 (DS 923, http://dx.doi.org/10.3133/ds923), and 20 monitoring wells were installed during April and June 2014 which are presented in this report. This report presents location data, lithologic logs, well-construction diagrams, and well-development information. Understanding the groundwater system can provide managers with an additional metric for evaluating the effectiveness of salinity and selenium control projects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds955","collaboration":"Prepared in cooperation with Colorado Water Conservation Board and the Bureau of Reclamation","usgsCitation":"Thomas, J.C., 2015, Installation of a groundwater monitoring-well network on the east side of the Uncompahgre River in the Lower Gunnison River Basin, Colorado, 2014: U.S. Geological Survey Data Series 955, 44 p., https://dx.doi.org/10.3133/ds955.","productDescription":"iv, 43 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-04-01","temporalEnd":"2014-06-30","ipdsId":"IP-065498","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":309538,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ds923","text":"DS 923","description":"DS 923"},{"id":309537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0955/ds955.pdf","text":"Report","size":"8.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 955"},{"id":309536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0955/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin, Uncompahgre River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.08349609375,\n 38.75140585784823\n ],\n [\n -107.91458129882812,\n 38.777372574181335\n ],\n [\n -107.9183578491211,\n 38.63618191259742\n ],\n [\n -107.84385681152344,\n 38.525070076783955\n ],\n [\n -107.64472961425781,\n 38.451168926369206\n ],\n [\n -107.7978515625,\n 38.36346433068098\n ],\n [\n -107.91698455810547,\n 38.49954915714596\n ],\n [\n -107.9794692993164,\n 38.55058194928367\n ],\n [\n -107.99835205078124,\n 38.65039396101565\n ],\n [\n -108.0893325805664,\n 38.74444410121545\n ],\n [\n -108.08349609375,\n 38.75140585784823\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
http://co.water.usgs.gov
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-10-07","noUsgsAuthors":false,"publicationDate":"2015-10-07","publicationStatus":"PW","scienceBaseUri":"56163426e4b0ba4884c61465","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70158692,"text":"70158692 - 2015 - Hyla chrysoscelis (Cope’s gray treefrog) x Hyla cinerea (green treefrog): putative natural hybrid","interactions":[],"lastModifiedDate":"2016-07-17T23:06:24","indexId":"70158692","displayToPublicDate":"2015-10-06T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Hyla chrysoscelis (Cope’s gray treefrog) x Hyla cinerea (green treefrog): putative natural hybrid","docAbstract":"
Naturally–occurring hybrid treefrogs have been occasionally found in the eastern United States. However, these hybrids are almost always between members of the same species group. On 10 Jun 2014, at 2145 h, we located an individual making an unusual advertisement call along Bayou Manual Road in Sherburne Wildlife Management Area in the Atchafalaya Basin of south-central Louisiana, USA, and brought it back to the laboratory for further study. Physically, the treefrog appeared intermediate between a Green Treefrog and a Cope’s Gray Treefrog, which are members of different species groups. Call analysis also showed the individual to be intermediate between the two putative parental species. Flow cytometry was used to estimate the total genome size from nuclei of whole blood cells, and also determined the individual to be intermediate of the putative parental species. Despite vocalizing for mates, the hybrid did not appear to have viable spermatozoa, and was likely the result of an anomalous mis-mating event between a male Cope’s Gray Treefrog and a female Green Treefrog. To our knowledge, natural hybrids between a Cope’s Gray Treefrog and a Green Treefrog have not been previously reported.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Glorioso, B.M., Waddle, J., Jenkins, J.A., Olivier, H.M., and Layton, R.R., 2015, Hyla chrysoscelis (Cope’s gray treefrog) x Hyla cinerea (green treefrog): putative natural hybrid: Herpetological Review, v. 46, no. 3, p. 410-411.","productDescription":"2 p.","startPage":"410","endPage":"411","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059584","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":309686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309684,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.zenscientist.com/index.php/pdflibrary2/Open-Access-Files/ssar_public/Herpetological-Review-1967-2015/2015-Herpetological-Review-46(3)-September/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya Basin, Sherburne Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.70150756835938,\n 30.3995298034023\n ],\n [\n -91.70150756835938,\n 30.45518486497521\n ],\n [\n -91.65172576904297,\n 30.45518486497521\n ],\n [\n -91.65172576904297,\n 30.3995298034023\n ],\n [\n -91.70150756835938,\n 30.3995298034023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5614e2ade4b0ba4884c611a4","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","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":576546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":149048,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":576547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":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":576548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olivier, Heather M.","contributorId":23245,"corporation":false,"usgs":true,"family":"Olivier","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":576549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Layton, Rebekah R.","contributorId":149049,"corporation":false,"usgs":false,"family":"Layton","given":"Rebekah","email":"","middleInitial":"R.","affiliations":[{"id":17621,"text":"Southeast Missouri State University","active":true,"usgs":false}],"preferred":false,"id":576550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70158666,"text":"70158666 - 2015 - Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance","interactions":[],"lastModifiedDate":"2016-06-01T11:53:35","indexId":"70158666","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance","docAbstract":"Historically, Lake Superior supported one of the largest and most diverse Lake Trout Salvelinus namaycush fisheries in the Laurentian Great Lakes, but Lake Trout stocks collapsed due to excessive fishery exploitation and predation by Sea Lampreys Petromyzon marinus. Lake Trout stocking, Sea Lamprey control, and fishery regulations, including a refuge encompassing Gull Island Shoal (Apostle Islands region), were used to enable recovery of Lake Trout stocks that used this historically important spawning shoal. Our objective was to determine whether future sustainability of Lake Trout stocks will depend on the presence of the Gull Island Shoal Refuge. We constructed a stochastic age-structured simulation model to assess the effect of maintaining the refuge as a harvest management tool versus removing the refuge. In general, median abundances of age-4, age-4 and older (age-4+), and age-8+ fish collapsed at lower instantaneous fishing mortality rates (F) when the refuge was removed than when the refuge was maintained. With the refuge in place, the F that resulted in collapse depended on the rate of movement into and out of the refuge. Too many fish stayed in the refuge when movement was low (0–2%), and too many fish became vulnerable to fishing when movement was high (≥22%); thus, the refuge was more effective at intermediate rates of movement (10–11%). With the refuge in place, extinction did not occur at any simulated level of F, whereas refuge removal led to extinction at all combinations of commercial F and recreational F. Our results indicate that the Lake Trout population would be sustained by the refuge at all simulated F-values, whereas removal of the refuge would risk population collapse at much lower F (0.700–0.744). Therefore, the Gull Island Shoal Refuge is needed to sustain the Lake Trout population in eastern Wisconsin waters of Lake Superior.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2015.1074960","usgsCitation":"Akins, A.L., Hansen, M.J., and Seider, M.J., 2015, Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance: North American Journal of Fisheries Management, v. 35, no. 5, p. 1003-1018, https://doi.org/10.1080/02755947.2015.1074960.","productDescription":"16 p.","startPage":"1003","endPage":"1018","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065104","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":309581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.451416015625,\n 48.77067246880509\n ],\n [\n -86.275634765625,\n 48.436489955944154\n ],\n [\n -85.97900390625,\n 47.931066347509784\n ],\n [\n -85.594482421875,\n 47.87214396888731\n ],\n [\n -85.111083984375,\n 47.938426929481054\n ],\n [\n -84.803466796875,\n 47.938426929481054\n ],\n [\n -84.847412109375,\n 47.81315451752768\n ],\n [\n -85.01220703125,\n 47.58393661978137\n ],\n [\n -84.88037109375,\n 47.45037978769006\n ],\n [\n -84.66064453125,\n 47.30903424774781\n ],\n [\n -84.78149414062499,\n 47.05515408550348\n ],\n [\n -84.78149414062499,\n 46.94276208682137\n ],\n [\n -84.451904296875,\n 46.875213396722685\n ],\n [\n -84.55078125,\n 46.717268685073954\n ],\n [\n -84.638671875,\n 46.53619267489863\n ],\n [\n -84.825439453125,\n 46.48326472915561\n ],\n [\n -84.979248046875,\n 46.626806395355175\n ],\n [\n -84.91333007812499,\n 46.7549166192819\n ],\n [\n -85.067138671875,\n 46.800059446787316\n ],\n [\n -85.50659179687499,\n 46.717268685073954\n ],\n [\n -86.06689453125,\n 46.694667307773116\n ],\n [\n -86.561279296875,\n 46.521075663842836\n ],\n [\n -86.8798828125,\n 46.521075663842836\n ],\n [\n -87.07763671875,\n 46.543749602738565\n ],\n [\n -87.374267578125,\n 46.521075663842836\n ],\n [\n -87.703857421875,\n 46.89023157359399\n ],\n [\n -88.231201171875,\n 46.965259400349275\n ],\n [\n -88.428955078125,\n 46.927758623434435\n ],\n [\n -88.26416015625,\n 47.092565552235705\n ],\n [\n -87.86865234374999,\n 47.30903424774781\n ],\n [\n -87.60498046875,\n 47.42065432071321\n ],\n [\n -87.923583984375,\n 47.50978034953473\n ],\n [\n -88.385009765625,\n 47.47266286861342\n ],\n [\n -88.76953125,\n 47.234489635299184\n ],\n [\n -89.483642578125,\n 46.912750956378915\n ],\n [\n -89.967041015625,\n 46.800059446787316\n ],\n [\n -90.4833984375,\n 46.619261036171515\n ],\n [\n -90.692138671875,\n 46.70973594407157\n ],\n [\n -90.94482421875,\n 46.702202151643455\n ],\n [\n -90.758056640625,\n 46.93526088057719\n ],\n [\n -90.94482421875,\n 46.93526088057719\n ],\n [\n -91.3623046875,\n 46.830133640447386\n ],\n [\n -91.845703125,\n 46.73986059969267\n ],\n [\n -92.054443359375,\n 46.7549166192819\n ],\n [\n -92.076416015625,\n 46.807579571992385\n ],\n [\n -91.395263671875,\n 47.16730970131578\n ],\n [\n -90.911865234375,\n 47.53945544742392\n ],\n [\n -90.1318359375,\n 47.80577611936809\n ],\n [\n -89.58251953125,\n 47.96785877999253\n ],\n [\n -89.26391601562499,\n 48.188063481211415\n ],\n [\n -89.23095703125,\n 48.472921272487824\n ],\n [\n -88.9013671875,\n 48.61838518688487\n ],\n [\n -88.43994140625,\n 48.90083790234088\n ],\n [\n -88.22021484375,\n 49.001843917978526\n ],\n [\n -86.451416015625,\n 48.77067246880509\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-02","publicationStatus":"PW","scienceBaseUri":"56139122e4b0ba4884c60f62","contributors":{"authors":[{"text":"Akins, Andrea L","contributorId":148998,"corporation":false,"usgs":false,"family":"Akins","given":"Andrea","email":"","middleInitial":"L","affiliations":[{"id":17613,"text":"University of Wisconsin - Stevens Point","active":true,"usgs":false}],"preferred":false,"id":576420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":576419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seider, Michael J.","contributorId":19452,"corporation":false,"usgs":true,"family":"Seider","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":576421,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158030,"text":"ofr20151189 - 2015 - Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2014","interactions":[],"lastModifiedDate":"2015-10-05T11:04:29","indexId":"ofr20151189","displayToPublicDate":"2015-10-02T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1189","title":"Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2014","docAbstract":"Data from a long-term capture-recapture program were used to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. In addition, beginning in 2005, individuals that had been previously PIT-tagged were re-encountered on remote underwater antennas deployed throughout sucker spawning areas. Captures and remote encounters during the spawning season in spring 2014 were incorporated into capture-recapture analyses of population dynamics.
\nCormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning populations. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2013. Separate analyses were conducted for each species and also for each subpopulation of Lost River suckers (LRS). Shortnose suckers (SNS) and one subpopulation of LRS migrate into tributary rivers to spawn, whereas the other LRS subpopulation spawns at groundwater upwelling areas along the eastern shoreline of the lake.
\nIn 2014, we captured, tagged, and released 496 LRS at four lakeshore spawning areas and recaptured an additional 970 individuals that had been tagged in previous years. Across all four areas, the remote antennas detected 6,370 individual LRS during the spawning season. Spawning activity peaked in April and most individuals were encountered at Cinder Flats and Sucker Springs. In the Williamson River, we captured, tagged, and released 3,038 LRS and 267 SNS, and recaptured 762 LRS and 156 SNS that had been tagged in previous years. Remote PIT tag antennas in the traps at the weir on the Williamson River and remote antenna systems that spanned the river at three different locations on the Williamson and Sprague Rivers detected a total of 23,446 LRS and 6,259 SNS. Most LRS passed upstream in the first and second weeks of April when water temperatures were increasing and greater than 10 °C. In contrast, upstream passage for SNS occurred in two pulses, one in early April and one in late April to early May, when water temperatures were increasing and near or greater than 12 °C. Finally, an additional 375 LRS and 884 SNS were captured in trammel net sampling at pre-spawn staging areas in the northeastern part of the lake. Of these, 111 of the LRS and 390 of the SNS had been PIT-tagged in previous years. For LRS captured at the staging areas that had encounter histories that were informative about their spawning location, 79 percent of the fish were members of the subpopulation that spawns in the rivers.
\nCapture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for more than 13,200 individuals, and analyses for the subpopulation that spawns in the rivers included more than 36,400 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than 0.88) between 1999 and 2012. Notably lower survival occurred for both sexes from the rivers in 2000, for males from the shoreline areas in 2002, and for males from the rivers in 2006 and 2012. Between 2001 and 2013, the abundance of males in the lakeshore spawning subpopulation decreased by at least 55 percent and the abundance of females decreased by at least 42 percent. Capture-recapture models suggested that the abundance of both sexes in the river spawning subpopulation of LRS had increased substantially since 2006; increases were mostly due to large estimated recruitment events in 2006 and 2008. We know that the estimates in 2006 are substantially biased in favor of recruitment because of a sampling issue. We are skeptical of the magnitude of recruitment indicated by the 2008 estimates as well because (1) few small individuals that would indicate the presence of new recruits were captured in that year, and (2) recapture probabilities in recruitment models based on just physical recaptures of fish were lower than desired for robust inferences from capture-recapture models. If we assume instead that little or no recruitment occurred for this subpopulation, the abundance of both sexes in the river spawning subpopulation likely has decreased at rates similar to the rates for the lakeshore spawning subpopulation between 2002 and 2013.
\nCapture-recapture analyses for SNS included encounter histories for more than 19,200 individuals. Most annual survival estimates between 2001 and 2012 were high (greater than 0.80), but SNS experienced more years of low survival than either LRS subpopulation. Annual survival of both sexes was relatively low in 2004, 2010, and 2012. In addition, male survival was low in 2002. Capture-recapture models and size composition data indicate that recruitment of new individuals into the SNS spawning population was trivial between 2001 and 2005. Models indicate that more than 10 percent of the population was new recruits in a number of more recent years. As a result, capture-recapture modeling suggests that the abundance of adult spawning SNS was relatively stable between 2006 and 2010. We are skeptical of the estimated recruitment in 2006 because of the known sampling issue. We also are skeptical of the estimated recruitment in other recent years because few small individuals that would indicate the presence of new recruits were captured in any of those years, and recapture probabilities in recruitment models were low. The best-case scenario for SNS, based on capture-recapture recruitment modeling, indicates that the abundance of males in the spawning population decreased by 77 percent and the abundance of females decreased by 73 percent between 2001 and 2013. Decreases in abundance for both sexes likely are greater than these estimates indicate.
\nDespite relatively high survival in most years, we conclude that both species have experienced substantial decreases in the abundance of spawning adults because losses from mortality have not been balanced by recruitment of new individuals. Although capture-recapture data indicate substantial recruitment of new individuals into the spawning populations for SNS and river spawning LRS in some years, size data do not corroborate these estimates. As a result, the status of the endangered sucker populations in Upper Klamath Lake remains worrisome, especially for shortnose suckers. Our monitoring program provides a robust platform for estimating vital population parameters, evaluating the status of the populations, and assessing the effectiveness of conservation and recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151189","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B.S., and Harris, A.C., 2015, Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2014: U.S. Geological Survey Open-File Report 2015-1189, 36 p., https://dx.doi.org/10.3133/ofr20151189.","productDescription":"iv, 36 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065787","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":309534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1189/ofr20151189.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1189 PDF"},{"id":309533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1189/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80610656738281,\n 42.23512673690766\n ],\n [\n -121.81297302246092,\n 42.26511445833756\n ],\n [\n -121.82876586914061,\n 42.279848959767385\n ],\n [\n -121.82258605957031,\n 42.29711950573175\n ],\n [\n -121.81365966796874,\n 42.30879983710443\n ],\n [\n -121.82052612304688,\n 42.34382782918463\n ],\n [\n -121.82327270507812,\n 42.35296235855687\n ],\n [\n -121.80679321289062,\n 42.383401202818526\n ],\n [\n -121.83563232421875,\n 42.42142901536395\n ],\n [\n -121.86447143554686,\n 42.44372793752476\n ],\n [\n -121.87339782714844,\n 42.453354564875475\n ],\n [\n -121.88987731933594,\n 42.449301428414955\n ],\n [\n -121.90086364746094,\n 42.461460050936715\n ],\n [\n -121.91665649414062,\n 42.47361631282951\n ],\n [\n -121.93244934082031,\n 42.47007098029904\n ],\n [\n -121.95716857910155,\n 42.46855149059522\n ],\n [\n -121.97776794433594,\n 42.48323834594139\n ],\n [\n -122.00592041015626,\n 42.49792175437361\n ],\n [\n -122.04711914062499,\n 42.50197174319114\n ],\n [\n -122.05810546875,\n 42.488808320425846\n ],\n [\n -122.06565856933592,\n 42.46753847696729\n ],\n [\n -122.07252502441406,\n 42.46652544694582\n ],\n [\n -122.07870483398436,\n 42.48627657532141\n ],\n [\n -122.08831787109375,\n 42.482731960032936\n ],\n [\n -122.09449768066405,\n 42.46804498583046\n ],\n [\n -122.08145141601561,\n 42.455381034748896\n ],\n [\n -122.04299926757812,\n 42.42548395494743\n ],\n [\n -122.04505920410156,\n 42.416359972082866\n ],\n [\n -122.03201293945311,\n 42.39810802339276\n ],\n [\n -122.00523376464842,\n 42.39151573685182\n ],\n [\n -121.99356079101562,\n 42.40368557113506\n ],\n [\n -122.00042724609374,\n 42.41179748277328\n ],\n [\n -121.98257446289062,\n 42.40622065620649\n ],\n [\n -121.981201171875,\n 42.39405131362432\n ],\n [\n -121.97708129882812,\n 42.37934354245872\n ],\n [\n -121.95854187011717,\n 42.381879610913195\n ],\n [\n -121.95167541503906,\n 42.39455841668649\n ],\n [\n -121.95716857910155,\n 42.42092212947584\n ],\n [\n -121.94618225097656,\n 42.39912215986002\n ],\n [\n -121.94000244140624,\n 42.38035798213233\n ],\n [\n -121.91940307617188,\n 42.370720143531955\n ],\n [\n -121.90086364746094,\n 42.354992073710456\n ],\n [\n -121.92008972167969,\n 42.34941019930749\n ],\n [\n -121.94549560546875,\n 42.34433533786168\n ],\n [\n -121.94961547851562,\n 42.33519955487233\n ],\n [\n -121.94686889648438,\n 42.31590854308647\n ],\n [\n -121.93588256835938,\n 42.28950073090457\n ],\n [\n -121.92283630371092,\n 42.28035698458569\n ],\n [\n -121.92558288574217,\n 42.29711950573175\n ],\n [\n -121.9207763671875,\n 42.30676863078423\n ],\n [\n -121.904296875,\n 42.31083097788356\n ],\n [\n -121.89193725585936,\n 42.31540080499991\n ],\n [\n -121.88987731933594,\n 42.30321386201705\n ],\n [\n -121.87889099121092,\n 42.293056273848215\n ],\n [\n -121.86927795410156,\n 42.277816819534955\n ],\n [\n -121.8548583984375,\n 42.266638876842244\n ],\n [\n -121.84730529785155,\n 42.25495072629938\n ],\n [\n -121.84730529785155,\n 42.245801966774025\n ],\n [\n -121.83769226074219,\n 42.23766862211923\n ],\n [\n -121.8109130859375,\n 42.23105950761338\n ],\n [\n -121.80610656738281,\n 42.23512673690766\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
We performed a suite of numerical simulations based on the 1811–1812 New Madrid seismic zone (NMSZ) earthquakes, which demonstrate the importance of 3D geologic structure and rupture directivity on the ground‐motion response throughout a broad region of the central United States (CUS) for these events. Our simulation set consists of 20 hypothetical earthquakes located along two faults associated with the current seismicity trends in the NMSZ. The hypothetical scenarios range in magnitude from M 7.0 to 7.7 and consider various epicenters, slip distributions, and rupture characterization approaches. The low‐frequency component of our simulations was computed deterministically up to a frequency of 1 Hz using a regional 3D seismic velocity model and was combined with higher‐frequency motions calculated for a 1D medium to generate broadband synthetics (0–40 Hz in some cases). For strike‐slip earthquakes located on the southwest–northeast‐striking NMSZ axial arm of seismicity, our simulations show 2–10 s period energy channeling along the trend of the Reelfoot rift and focusing strong shaking northeast toward Paducah, Kentucky, and Evansville, Indiana, and southwest toward Little Rock, Arkansas. These waveguide effects are further accentuated by rupture directivity such that an event with a western epicenter creates strong amplification toward the northeast, whereas an eastern epicenter creates strong amplification toward the southwest. These effects are not as prevalent for simulations on the reverse‐mechanism Reelfoot fault, and large peak ground velocities (>40 cm/s) are typically confined to the near‐source region along the up‐dip projection of the fault. Nonetheless, these basin response and rupture directivity effects have a significant impact on the pattern and level of the estimated intensities, which leads to additional uncertainty not previously considered in magnitude estimates of the 1811–1812 sequence based only on historical reports.
\nThe region covered by our simulation domain encompasses a large portion of the CUS centered on the NMSZ, including several major metropolitan areas. Based on our simulations, more than eight million people living and working near the NMSZ would experience potentially damaging ground motion and modified Mercalli intensities ranging from VI to VIII if a repeat of the 1811–1812 earthquakes occurred today. Moreover, the duration of strong ground shaking in the greater Memphis metropolitan area could last from 30 to more than 60 s, depending on the magnitude and epicenter.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120140330","usgsCitation":"Ramirez-Guzman, L., Graves, R., Olsen, K., Boyd, O.S., Cramer, C.H., Hartzell, S.H., Ni, S., Somerville, P.G., Williams, R., and Zhong, J., 2015, Ground motion-simulations of 1811-1812 New Madrid earthquakes, central United States: Bulletin of the Seismological Society of America, v. 105, no. 4, p. 1961-1988, https://doi.org/10.1785/0120140330.","productDescription":"28 p.","startPage":"1961","endPage":"1988","numberOfPages":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065550","costCenters":[{"id":300,"text":"Geologic Hazards Science 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University","active":true,"usgs":false}],"preferred":false,"id":546734,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70156840,"text":"sir20155121 - 2015 - Groundwater-level and storage-volume changes in the Equus Beds aquifer near Wichita, Kansas, predevelopment through January 2015","interactions":[],"lastModifiedDate":"2015-10-01T10:16:44","indexId":"sir20155121","displayToPublicDate":"2015-10-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5121","title":"Groundwater-level and storage-volume changes in the Equus Beds aquifer near Wichita, Kansas, predevelopment through January 2015","docAbstract":"Development of the Wichita well field began in the 1940s in the Equus Beds aquifer to provide the city of Wichita, Kansas, a new water-supply source. After development of the Wichita well field began, groundwater levels began to decline. Extensive development of irrigation wells that began in the 1970s also contributed to substantial groundwater-level declines. Groundwater-level declines likely enhance movement of brine from past oil and gas production near Burrton, Kansas, and natural saline water from the Arkansas River into the Wichita well field. Groundwater levels reached a historical minimum in 1993 because of drought conditions, irrigation, and the city of Wichita’s withdrawals from the aquifer. In 1993, the city of Wichita adopted the Integrated Local Water Supply Program to ensure that Wichita’s water needs would be met through the year 2050 and beyond as part of its efforts to manage the part of the Equus Beds aquifer Wichita uses. A key component of the Integrated Local Water Supply Program was the Equus Beds Aquifer Storage and Recovery project. The Aquifer Storage and Recovery project’s goal is to store and eventually recover groundwater and help protect the Equus Beds aquifer from oil-field brine water near Burrton, Kansas, and saline water from the Arkansas River. Since 1940, the U.S. Geological Survey has monitored groundwater levels and storage-volume changes in the Equus Beds aquifer to provide data to the city of Wichita in order to better manage its water supply.
\nGroundwater mostly flowed from west to east in the shallow and deep parts of the Equus Beds aquifer in January 2015. A large area of declines greater than 10 feet in the shallow part of the Equus Beds aquifer from predevelopment (before substantial pumpage began in the area in September 1940) to January 2015 covered most of the central part of the study area, where the city of Wichita well field is located, and extended beyond it. Groundwater-level rises of greater than 10 feet from 1993 (the historical minimum groundwater levels) to January 2015 covered most of the central part of the study area in the shallow and deep parts of the Equus Beds aquifer; rises of greater than 20 feet mostly were within the north-central part of the study area. The 1993 to January 2015 recovery of storage volume previously lost from predevelopment to 1993 was about 46 percent (55,200 acre-feet) for the central part of the study area and the percentage recovery was larger than the 31 percent (59,800 acre-feet) recovery for the entire study area. Groundwater-level rises and the larger percentage recovery of storage volume in the central part of the study area was most likely a result of the city of Wichita adopting the Integrated Local Water Supply Program strategy which reduced Wichita’s pumpage from the Equus Beds aquifer in 2014 to the smallest amount since 1940. January 2015 storage volumes were about 96 percent (3,057,000 acre-feet) and 94 percent (960,000 acre-feet) of total aquifer storage for the study area and the central part of the study area, respectively.
\nGroundwater levels from January 2014 to January 2015 in the central part of the study area rose about 3 feet in some places, probably because Wichita reduced its withdrawals from the aquifer in 2014 by more than 50 percent. Groundwater levels probably recovered less than anticipated because of decreased recharge and net groundwater flow and increased agricultural pumpage. A volumetric water budget for the central part of the study area between 2013 and 2014 showed that the substantial decrease in total pumping (10,412 acre-feet) did not result in an increase in storage volume because it was more than offset by decreased recharge (6,502 acre-feet; artificial and from precipitation) and an even greater decrease in net groundwater flow (11,710 acre-feet).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155121","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Whisnant, J.A., Hansen, C.V., and Eslick, P.J., 2015, Groundwater-level and storage-volume changes in the Equus Beds Aquifer near Wichita, Kansas, predevelopment through January 2015: U.S. Geological Survey Scientific Investigations Report 2015–5121, 27 p., https://dx.doi.org/10.3133/sir20155121.","productDescription":"Report: vi, 27 p.; Appendix","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067226","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":308476,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5121/sir20155121Apptable1.xlsx","text":"Appendix 1 Table 1–1","size":"97.2 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1"},{"id":308474,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5121/coverthb.jpg"},{"id":308475,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5121/sir20155121.pdf","text":"Report","size":"8.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5121"}],"country":"United States","state":"Kansas","city":"Wichita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.72476196289062,\n 38.120512892298976\n ],\n [\n -97.591552734375,\n 38.12591462924157\n ],\n [\n -97.5531005859375,\n 38.06106741381199\n ],\n [\n -97.525634765625,\n 38.01888587738773\n ],\n [\n -97.48306274414062,\n 37.98533963422242\n ],\n [\n -97.44255065917967,\n 37.934991500488344\n ],\n [\n -97.43431091308592,\n 37.91603433975963\n ],\n [\n -97.437744140625,\n 37.90411590881245\n ],\n [\n -97.43019104003906,\n 37.89273742374153\n ],\n [\n -97.415771484375,\n 37.88189913601145\n ],\n [\n -97.40959167480469,\n 37.86347038587407\n ],\n [\n -97.39860534667969,\n 37.84557924966551\n ],\n [\n -97.3828125,\n 37.8271414168374\n ],\n [\n -97.38143920898438,\n 37.81737834565083\n ],\n [\n -97.45834350585936,\n 37.819548028632376\n ],\n [\n -97.47894287109375,\n 37.82822612280363\n ],\n [\n -97.50160217285156,\n 37.82497195707114\n ],\n [\n -97.51739501953125,\n 37.83636090929915\n ],\n [\n -97.52494812011719,\n 37.842868092687425\n ],\n [\n -97.54829406738281,\n 37.846663684549156\n ],\n [\n -97.5592803955078,\n 37.86401247373357\n ],\n [\n -97.5860595703125,\n 37.86292829402713\n ],\n [\n -97.61352539062499,\n 37.87973128703159\n ],\n [\n -97.6409912109375,\n 37.88189913601145\n ],\n [\n -97.66639709472656,\n 37.89219554724437\n ],\n [\n -97.69386291503906,\n 37.899781455245545\n ],\n [\n -97.71720886230469,\n 37.91603433975963\n ],\n [\n -97.72476196289062,\n 38.120512892298976\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
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http://ks.water.usgs.gov
The Bisoni-McKay area, a structurally isolated, fault-bounded horst, offset eastward at the south end of the Fish Creek Range, displays a geologic terrane that is previously unrecorded in Nevada, and perhaps elsewhere in North America. This unique terrane is an olistostrome that was shed eastward by listric faulting from the east side of the migrating Antler orogenic forebulge in Late Devonian (early Famennian, ca. 373 Ma) time. Stratigraphic identification of Devonian olistoliths and enclosing matrix that constitute the olistostrome, as well as overlying postemplacement units, is supported by correlation to formations in the main part of the Fish Creek Range and to the northwest in the northern Antelope Range. Precise zonal dating of map units and revised dating of Antler orogenic events are provided by 38 conodont collections recorded in the Devonian/Carboniferous (D/C) Conodont Database and by small collections of conodonts embedded in siltstone and mudstone. Our revision of regional geologic history uses Devonian conodont zones to measure “deep time” to circa millions of years before present.
The upper Upper Devonian (Famennian) tongue of the Woodruff Formation was deposited directly on the olistostrome and is overlain by clastic Mississippian synorogenic deposits. These deposits were shed eastward from the evolving Antler highland and related Roberts Mountains allochthon into the Antler foredeep.
We propose the following revised dates for important Devonian tectonic events in Nevada: initiation of Antler orogeny, ca. 385 Ma; downwarping of Pilot backbulge basin, ca. 382 Ma; initial uplift of the Antler highland, ca. 373 Ma; third, major pulse of highland uplift, ca. 364 Ma. A summation of regional geologic history indicates that the elapsed time from start of Antler orogeny to start of Roberts Mountains thrusting was ~30 m.y.
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discerned from long-term water quality monitoring data","interactions":[],"lastModifiedDate":"2016-06-03T16:38:41","indexId":"70171529","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Regional and temporal differences in nitrate trends discerned from long-term water quality monitoring data","docAbstract":"Riverine nitrate (NO3) is a well-documented driver of eutrophication and hypoxia in coastal areas. The development of the elevated river NO3 concentration is linked to anthropogenic inputs from municipal, agricultural, and atmospheric sources. The intensity of these sources has varied regionally, through time, and in response to multiple causes such as economic drivers and policy responses. This study uses long-term water quality, land use, and other ancillary data to further describe the evolution of river NO3 concentrations at 22 monitoring stations in the United States (U.S.). The stations were selected for long-term data availability and to represent a range of climate and land-use conditions. We examined NO3 at the monitoring stations, using a flow-weighting scheme meant to account for interannual flow variability allowing greater focus on river chemical conditions. River NO3 concentration increased strongly during 1945-1980 at most of the stations and have remained elevated, but stopped increasing during 1981-2008. NO3 increased to a greater extent at monitoring stations in the Midwest U.S. and less so at those in the Eastern and Western U.S. We discuss 20th Century agricultural development in the U.S. and demonstrate that regional differences in NO3 concentration patterns were strongly related to an agricultural index developed using principal components analysis. This unique century-scale dataset adds to our understanding of long-term NO3 patterns in the U.S.
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Stormwater best management practices (BMPs) are used widely to remove excess N from runoff in urban and suburban areas, and are expected to perform under a wide variety of environmental conditions. Yet the capacity of BMPs to retain excess N varies; and both the variation and the drivers thereof are largely unknown, hindering the ability of water resource managers to meet water quality targets in a cost-effective way. Here, we use structured expert judgment (SEJ), a performance-weighted method of expert elicitation, to quantify the uncertainty in BMP performance under a range of site-specific environmental conditions and to estimate the extent to which key environmental factors influence variation in BMP performance. We hypothesized that rain event frequency and magnitude, BMP type and size, and physiographic province would significantly influence the experts’ estimates of N retention by BMPs common to suburban Piedmont and Coastal Plain watersheds of the Chesapeake Bay region.
\nExpert knowledge indicated wide uncertainty in BMP performance, with N removal efficiencies ranging from <0% (BMP acting as a source of N during a rain event) to >40%. Experts believed that the amount of rain was the primary identifiable source of variability in BMP efficiency, which is relevant given climate projections of more frequent heavy rain events in the mid-Atlantic. To assess the extent to which those projected changes might alter N export from suburban BMPs and watersheds, we combined downscaled estimates of rainfall with distributions of N loads for different-sized rain events derived from our elicitation. The model predicted higher and more variable N loads under a projected future climate regime, suggesting that current BMP regulations for reducing nutrients may be inadequate in the future.
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