With increasing population growth and land-use change, urban communities in the desert Southwest are progressively looking toward remote basins to supplement existing water supplies. Pending applications by Churchill County for groundwater appropriations from Dixie Valley, Nevada, a primarily undeveloped basin east of the Carson Desert, have prompted a reevaluation of the quantity of naturally discharging groundwater. The objective of this study was to develop a revised, independent estimate of groundwater discharge by evapotranspiration (ETg) from Dixie Valley using a combination of eddy-covariance evapotranspiration (ET) measurements and multispectral satellite imagery. Mean annual ETg was estimated during water years 2010 and 2011 at four eddy-covariance sites. Two sites were in phreatophytic shrubland dominated by greasewood, and two sites were on a playa. Estimates of total ET and ETg were supported with vegetation cover mapping, soil physics considerations, water‑level measurements from wells, and isotopic water sourcing analyses to allow partitioning of ETg into evaporation and transpiration components. Site-based ETg estimates were scaled to the basin level by combining remotely sensed imagery with field reconnaissance. Enhanced vegetation index and brightness temperature data were compared with mapped vegetation cover to partition Dixie Valley into five discharging ET units and compute basin-scale ETg. Evapotranspiration units were defined within a delineated groundwater discharge area and were partitioned as (1) playa lake, (2) playa, (3) sparse shrubland, (4) moderate-to-dense shrubland, and (5) grassland.
Groundwater ET is influenced primarily by phreatophytic vegetative cover, salinity of soil and groundwater within the playa, depth to groundwater, solar radiation, and air temperature. The annual groundwater contribution to site‑scale ET ranged from 24 to 61 percent of total ET at vegetated sites and 4 to 15 percent of total ET at playa sites. Mean annual ETg from vegetated sites ranged from 53 millimeters (mm) (0.17 foot [ft], 7.3 percent vegetative cover) to 225 mm (0.74 ft, 24.8 percent vegetative cover). Cumulative liquid‑water fluxes in the unsaturated zone indicate that ETg at vegetated sites was influenced primarily by plant transpiration. Binary mixing analyses of oxygen-18 isotopes in groundwater and shallow soil water indicate that plants predominantly use groundwater throughout the year. Groundwater fractions in greasewood stem water varied seasonally and ranged from 0.63 to 1.0. Mean annual playa ETg ranged from about 11 mm (0.04 ft) at the inner playa site (near-surface volumetric water content of 37–53 percent) to about 20 mm (0.07 ft) at the outer playa site located within 2 kilometers of the playa edge (near-surface volumetric water content of 25–38 percent), but playa ETg estimates were within the probable error (plus or minus [±] 20–23 mm; 0.06–0.08 ft). Varying playa ETg was influenced predominantly by salinity rather than depth to groundwater. Osmotic resistance and physical impediments to ET (such as surface salt crusts and salt precipitate in the soil pore space) increased with increasing salinity toward the playa center, whereas vapor pressure decreased.
Mean annual basin-scale ETg totaled about 28 million cubic meters (Mm3) (23,000 acre-feet [acre-ft]), and represents the sum of ETg from all ET units. Annual groundwater ET from vegetated areas totaled about 26 Mm3 (21,000 acre-ft), and was dominated by the moderate-to-dense shrubland ET unit (54 percent), followed by sparse shrubland (37 percent) and grassland (9 percent) ET units. Senesced grasses observed in the northern most areas of the moderate-to-dense ET unit likely confounded the vegetation index and led to an overestimate of ETg for this ET unit. Therefore, mean annual ETg for moderate-to-dense shrubland presented here is likely an upper bound. Annual groundwater ET from the playa ET unit was 2.2 Mm3 (1,800 acre-ft), whereas groundwater ET from the playa lake ET unit was 0–0.1 Mm3 (0–100 acre-ft). Oxygen-18 and deuterium data indicate discharge from the playa center predominantly represents removal of local precipitation-derived recharge. The playa lake estimate, therefore, is considered an upper bound. Mean annual ETg estimates for Dixie Valley are assumed to represent the pre‑development, long-term ETg rates within the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1805","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Garcia, C.A., Huntington, J.M., Buto, S.G., Moreo, M.T., Smith, J.L., and Andraski, B.J., 2015, Groundwater discharge by evapotranspiration, Dixie Valley, west-central Nevada, March 2009–September 2011 (ver. 1.1, April 2015): U.S. Geological Survey Professional Paper 1805, 90 p., https://doi.org/10.3133/pp1805.","productDescription":"Report: ix, 89 p.; 8 Appendixes; Evapotranspiration units; Groundwater discharge area; Vegetation index","numberOfPages":"104","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-03-01","temporalEnd":"2011-12-31","ipdsId":"IP-034747","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":294843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1805/images/covrthb.jpg"},{"id":294826,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1805/pdf/pp1805.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":294840,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/lookup/getspatial?pp1805_ETunits","text":"Evapotranspiration units"},{"id":294825,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1805/"},{"id":401429,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1805/versionHist.txt"},{"id":294841,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/lookup/getspatial?pp1805_GDA","text":"Groundwater discharge area"},{"id":294842,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/lookup/getspatial?pp1805_VI","text":"Vegetation index"},{"id":401430,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix01.xlsx","text":"Appendix 1","size":"786 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401431,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix02.xlsx","text":"Appendix 2","size":"26 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401432,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix03.xlsx","text":"Appendix 3","size":"25 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401433,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix04.xlsx","text":"Appendix 4","size":"32 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401434,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix05.xlsx","text":"Appendix 5","size":"15 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401435,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix06.xlsx","text":"Appendix 6","size":"74 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401436,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/pdf/pp1805_appendix07.pdf","text":"Appendix 7","size":"46 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":401437,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix08.xlsx","text":"Appendix 8","size":"13 KB","linkFileType":{"id":3,"text":"xlsx"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Nevada","otherGeospatial":"Dixie Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.2183837890625,\n 39.26203141523749\n ],\n [\n -118.2183837890625,\n 40.065460682065535\n ],\n [\n -117.23510742187501,\n 40.065460682065535\n ],\n [\n -117.23510742187501,\n 39.26203141523749\n ],\n [\n -118.2183837890625,\n 39.26203141523749\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: October 2, 2014; Version 1.1: April 7, 2015","contact":"Director,
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The Eastern fence lizard, Sceloporus undulatus, is widely distributed in eastern and central North America, ranging through areas with high levels of Lyme disease, as well as areas where Lyme disease is rare or absent. We studied the potential role of S. undulatus in transmission dynamics of Lyme spirochetes by sampling ticks from a variety of natural hosts at field sites in central New Jersey, and by testing the reservoir competence of S. undulatus for Borrelia burgdorferi in the laboratory. The infestation rate of ticks on fence lizards was extremely low (proportion infested = 0.087, n = 23) compared to that on white footed mice and other small mammals (proportion infested = 0.53, n = 140). Of 159 nymphs that had fed as larvae on lizards that had previously been exposed to infected nymphs, none was infected with B. burgdorferi, compared with 79.9% of 209 nymphs that had fed as larvae on infected control mice. Simulations suggest that changes in the numbers of fence lizards in a natural habitat would have little effect on the infection rate of nymphal ticks with Lyme spirochetes. We conclude that in central New Jersey S. undulatus plays a minimal role in the enzootic transmission cycle of Lyme spirochetes.
","language":"English","publisher":"American Society of Parasitologists","publisherLocation":"Lawrence, KS","doi":"10.1645/14-503.1","usgsCitation":"Rulison, E., Kerr, K.T., Dyer, M., Han, S., Burke, R.L., Tsao, J., and Ginsberg, H.S., 2014, Minimal role of eastern fence lizards in Borrelia burgdorferi transmission in central New Jersey oak/pine woodlands: Journal of Parasitology, v. 100, no. 5, p. 578-582, https://doi.org/10.1645/14-503.1.","productDescription":"5 p.","startPage":"578","endPage":"582","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056693","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488307,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/145","text":"External Repository"},{"id":296085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Island","active":true,"usgs":false}],"preferred":false,"id":524930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Han, Seungeun","contributorId":127373,"corporation":false,"usgs":false,"family":"Han","given":"Seungeun","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":524931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burke, Russell L.","contributorId":127374,"corporation":false,"usgs":false,"family":"Burke","given":"Russell","email":"","middleInitial":"L.","affiliations":[{"id":6921,"text":"Hofstra University","active":true,"usgs":false}],"preferred":false,"id":524932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tsao, Jean I.","contributorId":71466,"corporation":false,"usgs":true,"family":"Tsao","given":"Jean I.","affiliations":[],"preferred":false,"id":524933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":3204,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","email":"hginsberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":524927,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70169066,"text":"70169066 - 2014 - Preliminary monitoring protocol for the tidal freshwater wetland restoration herbivory study in national capital parks--east: Appendix B","interactions":[],"lastModifiedDate":"2017-01-06T11:37:04","indexId":"70169066","displayToPublicDate":"2014-10-01T02:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Preliminary monitoring protocol for the tidal freshwater wetland restoration herbivory study in national capital parks--east: Appendix B","docAbstract":"Four tidal freshwater wetland restoration projects have been undertaken within Anacostia Park on lands managed by the National Park Service since 1993. Monitoring the impacts of Canada goose (Branta canadensis) herbivory on the wetland vegetation will play a key role in determining the long-term health of these tidal freshwater wetland restorations. This Implementation Plan lays out monitoring for impacts of herbivory on the vegetation in Kingman Area 1 and inferred to the other wetland areas.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Anacostia Park wetlands and resident Canada goose management plan/ environmental impact statement","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","usgsCitation":"Krafft, C., and Hatfield, J., 2014, Preliminary monitoring protocol for the tidal freshwater wetland restoration herbivory study in national capital parks--east: Appendix B, 6 p.","productDescription":"6 p.","startPage":"359","endPage":"364","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025348","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":320169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":318877,"type":{"id":15,"text":"Index Page"},"url":"https://parkplanning.nps.gov/document.cfm?parkID=425&projectID=18040&documentID=51012"}],"country":"United States","city":"Washington, D.C.","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.0035716,38.8643463 ], [ -77.0035716,38.8710952 ], [ -76.9885262,38.8710952 ], [ -76.9885262,38.8643463 ], [ -77.0035716,38.8643463 ] ] ] } } ] }","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571756e6e4b0ef3b7caa629e","contributors":{"authors":[{"text":"Krafft, Cairn ckrafft@usgs.gov","contributorId":3480,"corporation":false,"usgs":true,"family":"Krafft","given":"Cairn","email":"ckrafft@usgs.gov","affiliations":[],"preferred":true,"id":622751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatfield, Jeffrey S. jhatfield@usgs.gov","contributorId":151,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeffrey S.","email":"jhatfield@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":657934,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171512,"text":"70171512 - 2014 - Chemical complexity and source of the White River Ash, Alaska and Yukon","interactions":[],"lastModifiedDate":"2019-03-13T10:49:41","indexId":"70171512","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Chemical complexity and source of the White River Ash, Alaska and Yukon","docAbstract":"The White River Ash, a prominent stratigraphic marker bed in Alaska (USA) and Yukon (Canada), consists of multiple compositional units belonging to two geochemical groups. The compositional units are characterized using multiple criteria, with combined glass and ilmenite compositions being the best discriminators. Two compositional units compose the northern group (WRA-Na and WRA-Nb), and two units are present in the eastern group (WRA-Ea and the younger, WRA-Eb). In the proximal area, the ca. 1900 yr B.P. (Lerbekmo et al., 1975) WRA-Na displays reverse zoning in the glass phase and systematic changes in ilmenite composition and estimated oxygen fugacity from the base to the top of the unit. The eruption probably tapped different magma batches or bodies within the magma reservoir with limited mixing or mingling between them. The 1147 cal yr B.P. (calibrated years, approximately equivalent to calendric years) (Clague et al., 1995) WRA-Ea eruption is only weakly zoned, but pumices with different glass compositions are present, along with gray and white intermingled glass in individual pumice clasts, indicating the presence of multiple magmatic bodies or layers. All White River Ash products are high-silica adakites and are sourced from the Mount Churchill magmatic system.
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Center","active":true,"usgs":true}],"preferred":true,"id":631546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westgate, J.A.","contributorId":63164,"corporation":false,"usgs":true,"family":"Westgate","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":631548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, N.J.G.","contributorId":75763,"corporation":false,"usgs":true,"family":"Pearce","given":"N.J.G.","email":"","affiliations":[],"preferred":false,"id":631549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartmann, W.K.","contributorId":96002,"corporation":false,"usgs":true,"family":"Hartmann","given":"W.K.","email":"","affiliations":[],"preferred":false,"id":631550,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perkins, W.T.","contributorId":169933,"corporation":false,"usgs":false,"family":"Perkins","given":"W.T.","email":"","affiliations":[{"id":25630,"text":"Aberystwyth University, Wales, UK","active":true,"usgs":false}],"preferred":false,"id":631551,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127500,"text":"70127500 - 2014 - Shaking from injection-induced earthquakes in the central and eastern United States","interactions":[],"lastModifiedDate":"2014-10-10T16:43:06","indexId":"70127500","displayToPublicDate":"2014-09-30T10:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Shaking from injection-induced earthquakes in the central and eastern United States","docAbstract":"In this study I consider the ground motions generated by 11 moderate (Mw4.0-5.6) earthquakes in the central and eastern United States that are thought or suspected to be induced by fluid injection. Using spatially rich intensity data from the USGS “Did You Feel It?” system, I show that the distance decay of intensities for all events is consistent with that observed for tectonic earthquakes in the region, but for all of the events, intensities are lower than values predicted from an intensity prediction equation that successfully characterizes intensities for regional tectonic events. I introduce an effective intensity magnitude, MIE, defined as the magnitude that on average would generate a given intensity distribution. For all 11 events, MIE is lower than the event magnitude by 0.4-1.3 magnitude units, with an average difference of 0.82 units. This suggests that stress drops of injection-induced earthquakes are systematically lower than tectonic earthquakes by an estimated factor of 2-10. However, relatively limited data suggest that intensities for epicentral distances less than 10 km are more commensurate with expectations for the event magnitude, which can be reasonably explained by the shallow focal depth of the events. The results suggest that damage from injection-induced earthquakes will be especially concentrated in the immediate epicentral region.","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","doi":"10.1785/0120140099","usgsCitation":"Hough, S.E., 2014, Shaking from injection-induced earthquakes in the central and eastern United States: Bulletin of the Seismological Society of America, v. 104, no. 5, p. 2619-2626, https://doi.org/10.1785/0120140099.","productDescription":"8 p.","startPage":"2619","endPage":"2626","numberOfPages":"8","ipdsId":"IP-056080","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":294617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294591,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120140099"}],"country":"United States","volume":"104","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-08-19","publicationStatus":"PW","scienceBaseUri":"542bb80ee4b0abfb4c8096ac","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":502360,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70126516,"text":"ofr20101083O - 2014 - Seismicity of the Earth 1900-2013 offshore British Columbia-southeastern Alaska and vicinity","interactions":[],"lastModifiedDate":"2014-10-02T09:57:00","indexId":"ofr20101083O","displayToPublicDate":"2014-09-29T13:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1083","chapter":"O","title":"Seismicity of the Earth 1900-2013 offshore British Columbia-southeastern Alaska and vicinity","docAbstract":"The tectonics of the Pacific margin of North America between Vancouver Island and south-central Alaska are dominated by the northwest motion of the Pacific plate with respect to the North America plate at a velocity of approximately 50 mm/yr. In the south of this mapped region, convergence between the northern extent of the Juan de Fuca plate (also known as the Explorer microplate) and North America plate dominate. North from the Explorer, Pacific, and North America plate triple junction, Pacific:North America motion is accommodated along the ~650-km-long Queen Charlotte fault system. Offshore of Haida Gwaii and to the southwest, the obliquity of the Pacific:North America plate motion vector creates a transpressional regime, and a complex mixture of strike-slip and convergent (underthrusting) tectonics. North of the Haida Gwaii islands, plate motion is roughly parallel to the plate boundary, resulting in almost pure dextral strike-slip motion along the Queen Charlotte fault. To the north, the Queen Charlotte fault splits into multiple structures, continuing offshore of southwestern Alaska as the Fairweather fault, and branching east into the Chatham Strait and Denali faults through the interior of Alaska. The plate boundary north and west of the Fairweather fault ultimately continues as the Alaska-Aleutians subduction zone, where Pacific plate lithosphere subducts beneath the North America plate at the Aleutians Trench. The transition is complex, and involves intraplate structures such as the Transition fault. The Pacific margin offshore British Columbia is one of the most active seismic zones in North America and has hosted a number of large earthquakes historically.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083O","usgsCitation":"Hayes, G.P., Smoczyk, G.M., Ooms, J.G., McNamara, D.E., Furlong, K.P., Benz, H.M., and Villasenor, A.H., 2014, Seismicity of the Earth 1900-2013 offshore British Columbia-southeastern Alaska and vicinity: U.S. Geological Survey Open-File Report 2010-1083, 1 map sheet: 38.77 x 27.01 inches, https://doi.org/10.3133/ofr20101083O.","productDescription":"1 map sheet: 38.77 x 27.01 inches","numberOfPages":"1","onlineOnly":"Y","ipdsId":"IP-054255","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":294585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20101083o.jpg"},{"id":294584,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/o/pdf/ofr2010-1083o.pdf"},{"id":294587,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/o/"}],"scale":"3500000","country":"Canada;United States","state":"Alaska;British Columbia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.56,50.23 ], [ -148.56,64.46 ], [ -126.45,64.46 ], [ -126.45,50.23 ], [ -148.56,50.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66bae4b01535cb4272c6","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":842,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":502125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ooms, Jonathan G.","contributorId":13563,"corporation":false,"usgs":true,"family":"Ooms","given":"Jonathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":502127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502124,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villasenor, Antonio H. 0000-0001-8592-4832","orcid":"https://orcid.org/0000-0001-8592-4832","contributorId":38186,"corporation":false,"usgs":true,"family":"Villasenor","given":"Antonio","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502129,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70123803,"text":"ofr20141195 - 2014 - A compilation of K-Ar-ages for southern California","interactions":[],"lastModifiedDate":"2014-09-23T15:34:48","indexId":"ofr20141195","displayToPublicDate":"2014-09-23T14:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1195","title":"A compilation of K-Ar-ages for southern California","docAbstract":"The purpose of this report is to make available a large body of conventional K-Ar ages for granitic, volcanic, and metamorphic rocks collected in southern California. Although one interpretive map is included, the report consists primarily of a systematic listing, without discussion or interpretation, of published and unpublished ages that may be of value in future regional and other geologic studies.
\nFrom 1973 to 1979, 468 rock samples from southern California were collected for conventional K-Ar dating under a regional geologic mapping project of Southern California (predecessor of the Southern California Areal Mapping Project). Most samples were collected and dated between 1974 and 1977. For 61 samples (13 percent of those collected), either they were discarded for varying reasons, or the original collection data were lost. For the remaining samples, 518 conventional K-Ar ages are reported here; coexisting mineral pairs were dated from many samples. Of these K-Ar ages, 225 are previously unpublished, and identified as such in table 1. All K-Ar ages are by conventional K-Ar analysis; no 40Ar/39Ar dating was done.
\nSubsequent to the rock samples collected in the 1970s and reported here, 33 samples were collected and 38 conventional K-Ar ages determined under projects directed at (1) characterization of the Mesozoic and Cenozoic igneous rocks in and on both sides of the Transverse Ranges and (2) clarifying the Mesozoic and Cenozoic tectonics of the eastern Mojave Desert. Although previously published (Beckerman et al., 1982), another eight samples and 11 conventional K-Ar ages are included here, because they augment those completed under the previous two projects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141195","usgsCitation":"Miller, F.K., Morton, D.M., Morton, J.L., and Miller, D., 2014, A compilation of K-Ar-ages for southern California: U.S. Geological Survey Open-File Report 2014-1195, Report: iii, 3 p.; 2 Plates: 22.64 x 17.02 inches; 1 Table, https://doi.org/10.3133/ofr20141195.","productDescription":"Report: iii, 3 p.; 2 Plates: 22.64 x 17.02 inches; 1 Table","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-039180","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":294364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141195.JPG"},{"id":294362,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1195/downloads/ofr2014-1195_fig2.pdf"},{"id":294363,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2014/1195/downloads/ofr2014-1195_table1.docx"},{"id":294360,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1195/pdf/ofr2014-1195.pdf"},{"id":294361,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1195/downloads/ofr2014-1195_fig1.pdf"},{"id":293509,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1195/"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.00,33.25 ], [ -119.00,35.50 ], [ -115.00,35.50 ], [ -115.00,33.25 ], [ -119.00,33.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bae5e4b08312ac7cedf3","contributors":{"authors":[{"text":"Miller, Fred K.","contributorId":89503,"corporation":false,"usgs":true,"family":"Miller","given":"Fred","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":500296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, Douglas M. scamp@usgs.gov","contributorId":4102,"corporation":false,"usgs":true,"family":"Morton","given":"Douglas","email":"scamp@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":500294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Janet L.","contributorId":37269,"corporation":false,"usgs":true,"family":"Morton","given":"Janet","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":500293,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115047,"text":"sir20145120 - 2014 - Digital database of microfossil localities in Alameda and Contra Costa Counties, California","interactions":[],"lastModifiedDate":"2017-10-30T13:04:54","indexId":"sir20145120","displayToPublicDate":"2014-09-23T13:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5120","title":"Digital database of microfossil localities in Alameda and Contra Costa Counties, California","docAbstract":"The eastern San Francisco Bay region (Contra Costa and Alameda Counties, California) is a geologically complex area divided by faults into a suite of tectonic blocks. Each block contains a unique stratigraphic sequence of Tertiary sediments that in most blocks unconformably overlie Mesozoic sediments. Age and environmental interpretations based on analysis of microfossil assemblages are key factors in interpreting geologic history, structure, and correlation of each block. Much of this data, however, is distributed in unpublished internal reports and memos, and is generally unavailable to the geologic community. In this report the U.S. Geological Survey microfossil data from the Tertiary sediments of Alameda and Contra Costa counties are analyzed and presented in a digital database, which provides a user-friendly summary of the micropaleontologic data, locality information, and biostratigraphic and ecologic interpretations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145120","usgsCitation":"McDougall, K., and Block, D.L., 2014, Digital database of microfossil localities in Alameda and Contra Costa Counties, California: U.S. Geological Survey Scientific Investigations Report 2014-5120, Report: viii, 108 p.; 1 Plate: 36.00 x 20.00 inches; Metadata; Dataset, https://doi.org/10.3133/sir20145120.","productDescription":"Report: viii, 108 p.; 1 Plate: 36.00 x 20.00 inches; Metadata; Dataset","numberOfPages":"116","onlineOnly":"Y","ipdsId":"IP-044478","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":294344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145120.jpg"},{"id":289273,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5120/"},{"id":294342,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2014/5120/downloads/sir2014-5120_metadata.html"},{"id":294343,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5120/downloads/sir2014-5120_dataset.kmz"},{"id":294340,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5120/pdf/sir2014-5120.pdf"},{"id":294341,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5120/pdf/sir2014-5120_plate1.pdf"}],"country":"United States","state":"California","county":"Alameda County;Contra Costa County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.50,37.50 ], [ -122.50,38.166667 ], [ -121.666667,38.166667 ], [ -121.666667,37.50 ], [ -122.50,37.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422baf4e4b08312ac7cee50","contributors":{"authors":[{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":495493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Block, Debra L. 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":3587,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":495492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137955,"text":"70137955 - 2014 - Sea Level Affecting Marshes Model (SLAMM) ‐ New functionality for predicting changes in distribution of submerged aquatic vegetation in response to sea level rise","interactions":[],"lastModifiedDate":"2016-04-26T16:24:46","indexId":"70137955","displayToPublicDate":"2014-09-23T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Sea Level Affecting Marshes Model (SLAMM) ‐ New functionality for predicting changes in distribution of submerged aquatic vegetation in response to sea level rise","docAbstract":"Submerged aquatic vegetation (SAV) is an ecologically important habitat world‐wide. In Pacific Northwest (PNW) estuaries, SAV in the lower intertidal and shallow subtidal habitats are dominated by the native seagrass, Zostera marina Linnaeus, 1753. Within this report, SAV and seagrass refer to Z. marina seagrass beds in PNW estuaries. Z. marina provides important habitat for juvenile salmon, dungeness crabs, migratory shore birds, and benthic assemblages (e.g., Philips, 1984; Williamson, 2006; Ferraro and Cole, 2007; Shaughnessy et al., 2012). Z. marina typically occurs in a narrow depth range. For example, in Oregon estuaries Zostera marina primarily occurs within the depth range of ‐1 to +1 m relative to Mean Lower Low Water (MLLW) (Young et al. 2012). Because of their narrow depth range, the distribution of these seagrass beds are potentially vulnerable to sea level rise (SLR) through increased water depths and associated reductions in underwater light levels, alterations in tidal variations, altered water movement and wave action, and increased seawater intrusion (Short and Neckles, 1999).
\nThe “Sea‐Level Affecting Marshes Model” (SLAMM) is a moderate resolution model used to predict the effects of sea level rise on marsh habitats (Craft et al. 2009). SLAMM has been used extensively on both the west coast (e.g., Glick et al., 2007) and east coast (e.g., Geselbracht et al., 2011) of the United States to evaluate potential changes in the distribution and extent of tidal marsh habitats. However, a limitation of the current version of SLAMM, (Version 6.2) is that it lacks the ability to model distribution changes in seagrass habitat resulting from sea level rise. Because of the ecological importance of SAV habitats, U.S. EPA, USGS, and USDA partnered with Warren Pinnacle Consulting to enhance the SLAMM modeling software to include new functionality in order to predict changes in Zostera marina distribution within Pacific Northwest estuaries in response to sea level rise. Specifically, the objective was to develop a SAV model that used generally available GIS data and parameters that were predictive and that could be customized for other estuaries that have GIS layers of existing SAV distribution. This report describes the procedure used to develop the SAV model for the Yaquina Bay Estuary, Oregon, appends a statistical script based on the open source R software to generate a similar SAV model for other estuaries that have data layers of existing SAV, and describes how to incorporate the model coefficients from the site‐specific SAV model into SLAMM to predict the effects of sea level rise on Zostera marina distributions. To demonstrate the applicability of the R tools, we utilize them to develop model coefficients for Willapa Bay, Washington using site‐specific SAV data.
","language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"Lee II, H., Reusser, D.A., Frazier, M.R., McCoy, L.M., Clinton, P.J., and Clough, J.S., 2014, Sea Level Affecting Marshes Model (SLAMM) ‐ New functionality for predicting changes in distribution of submerged aquatic vegetation in response to sea level rise, iv, 50 p.","productDescription":"iv, 50 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059942","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Yaquina Bay Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.6,\n 45\n ],\n [\n -124.6,\n 47\n ],\n [\n -122.5,\n 47\n ],\n [\n -122.5,\n 45\n ],\n [\n -124.6,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57209138e4b071321fe65694","contributors":{"authors":[{"text":"Lee II, Henry","contributorId":138672,"corporation":false,"usgs":false,"family":"Lee II","given":"Henry","affiliations":[{"id":12485,"text":"Pacific Coastal Ecology Branch, Western Ecology Division, United States Environmental Protection Agency, Newport, Oregon, 97365","active":true,"usgs":false}],"preferred":false,"id":538309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":538308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frazier, Melanie R","contributorId":138673,"corporation":false,"usgs":false,"family":"Frazier","given":"Melanie","email":"","middleInitial":"R","affiliations":[{"id":12486,"text":"National Center for Ecological Analysis and Synthesis, 735 State St. Suite 300, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":538310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, Lee M","contributorId":138674,"corporation":false,"usgs":false,"family":"McCoy","given":"Lee","email":"","middleInitial":"M","affiliations":[{"id":12487,"text":"Agricultural Research Service, United States Department of Agriculture, Newport, OR","active":true,"usgs":false}],"preferred":false,"id":538311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clinton, Patrick J.","contributorId":138675,"corporation":false,"usgs":false,"family":"Clinton","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":12485,"text":"Pacific Coastal Ecology Branch, Western Ecology Division, United States Environmental Protection Agency, Newport, Oregon, 97365","active":true,"usgs":false}],"preferred":false,"id":538312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clough, Jonathan S.","contributorId":138676,"corporation":false,"usgs":false,"family":"Clough","given":"Jonathan","email":"","middleInitial":"S.","affiliations":[{"id":12488,"text":"Warren Pinnacle Consulting, Inc., P.O. Box 351, Waitsfield VT, 05673","active":true,"usgs":false}],"preferred":false,"id":538313,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70124283,"text":"sim3295 - 2014 - Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island","interactions":[],"lastModifiedDate":"2022-09-23T14:48:02.426484","indexId":"sim3295","displayToPublicDate":"2014-09-11T12:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3295","title":"Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island","docAbstract":"The bedrock geology of the 7.5-minute Uxbridge quadrangle consists of Neoproterozoic metamorphic and igneous rocks of the Avalon zone. In this area, rocks of the Avalon zone lie within the core of the Milford antiform, south and east of the terrane-bounding Bloody Bluff fault zone. Permian pegmatite dikes and quartz veins occur throughout the quadrangle. The oldest metasedimentary rocks include the Blackstone Group, which represents a Neoproterozoic peri-Gondwanan marginal shelf sequence. The metasedimentary rocks are intruded by Neoproterozoic arc-related plutonic rocks of the Rhode Island batholith.
\nThis report presents mapping by G.J. Walsh. The complete report consists of a map, text pamphlet, and GIS database. The map and text pamphlet are available only as downloadable files (see frame at right). The GIS database is available for download in ESRI™ shapefile and Google Earth™ formats, and includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, geochemical data, and photographs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3295","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Massachusetts Geological Survey","usgsCitation":"Walsh, G.J., 2014, Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island: U.S. Geological Survey Scientific Investigations Map 3295, Pamphlet: iv, 36 p.; 1 Plate: 54.0 x 36.0 inches; Downloads Directory, https://doi.org/10.3133/sim3295.","productDescription":"Pamphlet: iv, 36 p.; 1 Plate: 54.0 x 36.0 inches; Downloads Directory","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-024090","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":293725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3295.jpg"},{"id":293723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3295/pdf/sim3295_pamphlet.pdf"},{"id":293724,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3295/downloads"},{"id":293721,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3295/"},{"id":293722,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3295/pdf/sim3295_uxbridge-geolmap.pdf"},{"id":398967,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100752.htm"}],"scale":"24000","projection":"Polyconic projection","datum":"North American Datum of 1927","country":"United States","state":"Massachusetts, Rhode Island","county":"Providence County, Worcester County","otherGeospatial":"Uxbridge quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.75,42.0 ], [ -71.75,42.125 ], [ -71.625,42.125 ], [ -71.625,42.0 ], [ -71.75,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab89e4b0239f1986b9ce","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":500647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70124051,"text":"70124051 - 2014 - Estimating the spatial distribution of wintering little brown bat populations in the eastern United States","interactions":[],"lastModifiedDate":"2016-01-26T15:45:48","indexId":"70124051","displayToPublicDate":"2014-09-10T15:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the spatial distribution of wintering little brown bat populations in the eastern United States","docAbstract":"Depicting the spatial distribution of wildlife species is an important first step in developing management and conservation programs for particular species. Accurate representation of a species distribution is important for predicting the effects of climate change, land-use change, management activities, disease, and other landscape-level processes on wildlife populations. We developed models to estimate the spatial distribution of little brown bat (Myotis lucifugus) wintering populations in the United States east of the 100th meridian, based on known hibernacula locations. From this data, we developed several scenarios of wintering population counts per county that incorporated uncertainty in the spatial distribution of the hibernacula as well as uncertainty in the size of the current little brown bat population. We assessed the variability in our results resulting from effects of uncertainty. Despite considerable uncertainty in the known locations of overwintering little brown bats in the eastern United States, we believe that models accurately depicting the effects of the uncertainty are useful for making management decisions as these models are a coherent organization of the best available information.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1215","usgsCitation":"Russell, R.E., Tinsley, K., Erickson, R.A., Thogmartin, W.E., and Szymanski, J.A., 2014, Estimating the spatial distribution of wintering little brown bat populations in the eastern United States: Ecology and Evolution, v. 4, no. 19, p. 3746-3754, https://doi.org/10.1002/ece3.1215.","productDescription":"9 p.","startPage":"3746","endPage":"3754","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056690","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472766,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.1215","text":"External Repository"},{"id":306624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.986328125,\n 25.958044673317843\n ],\n [\n -100.986328125,\n 49.03786794532644\n ],\n [\n -67.060546875,\n 49.03786794532644\n ],\n [\n -67.060546875,\n 25.958044673317843\n ],\n [\n -100.986328125,\n 25.958044673317843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-09-08","publicationStatus":"PW","scienceBaseUri":"541157b3e4b0fe7e184a553b","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":500581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinsley, Karl","contributorId":23457,"corporation":false,"usgs":false,"family":"Tinsley","given":"Karl","email":"","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":500583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":500584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":500580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szymanski, Jennifer A.","contributorId":127486,"corporation":false,"usgs":false,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":500582,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70123890,"text":"70123890 - 2014 - Annual migratory patterns of long-billed curlews in the American west","interactions":[],"lastModifiedDate":"2018-08-21T13:29:30","indexId":"70123890","displayToPublicDate":"2014-09-10T09:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Annual migratory patterns of long-billed curlews in the American west","docAbstract":"Effective conservation of migratory species requires comprehensive knowledge of annual movement patterns. Such information is sparse for the Long-billed Curlew (Numenius americanus), a North American endemic shorebird of conservation concern. To test hypotheses about individual and area differences in migratory patterns across western North America, we tagged 29 curlews with satellite transmitters at breeding sites in Oregon, Nevada, and Montana. Transmissions from 28 birds for up to 4 years demonstrated that all wintered within the species’ known winter range, including 9 from Oregon tracked to agricultural areas of California’s Central Valley; 5 from Nevada tracked to the Central Valley, northern Gulf of California, or west coast of Baja California, Mexico; and 14 from Montana that wintered inland, from the Texas Panhandle south to the Mexican Plateau, or near the Gulf of Mexico. Montana breeders migrated east of the Rocky Mountains and traveled more than twice the distance of Oregon and Nevada breeders. Montana birds also stopped more often and longer during most passages. As a group, curlews arrived on their Oregon breeding grounds earlier than in Montana, while males preceded females in Montana and possibly Oregon. No consistent pattern emerged between sexes in departure from breeding areas, although within pairs males departed later than their mates. Individuals exhibited strong fidelity to breeding and wintering sites, and many birds showed a strong propensity for agricultural regions during winter. Our results underscore the importance of studying","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-12-185-R2.1","usgsCitation":"Page, G.W., Warnock, N., Tibbitts, T.L., Jorgensen, D., Hartman, C., and Stenzel, L.E., 2014, Annual migratory patterns of long-billed curlews in the American west: The Condor, v. 116, p. 50-61, https://doi.org/10.1650/CONDOR-12-185-R2.1.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-045096","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472771,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-12-185-r2.1","text":"Publisher Index Page"},{"id":438745,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q85XOM","text":"USGS data release","linkHelpText":"Tracking Data for Long-billed Curlews (Numenius americanus)"},{"id":293582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293571,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-12-185-R2.1"}],"country":"United States","state":"Montana;Nevada;Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.6129,35.0 ], [ -124.6129,49.0014 ], [ -104.0396,49.0014 ], [ -104.0396,35.0 ], [ -124.6129,35.0 ] ] ] } } ] }","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541157b0e4b0fe7e184a552f","contributors":{"authors":[{"text":"Page, Gary W.","contributorId":46015,"corporation":false,"usgs":true,"family":"Page","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":500463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warnock, Nils","contributorId":64534,"corporation":false,"usgs":false,"family":"Warnock","given":"Nils","email":"","affiliations":[],"preferred":false,"id":500465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":500466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgensen, Dennis","contributorId":34442,"corporation":false,"usgs":true,"family":"Jorgensen","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":500462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, C. Alex","contributorId":48851,"corporation":false,"usgs":true,"family":"Hartman","given":"C. Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stenzel, Lynne E.","contributorId":70298,"corporation":false,"usgs":true,"family":"Stenzel","given":"Lynne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":500467,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70123288,"text":"ofr20141186 - 2014 - Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012","interactions":[],"lastModifiedDate":"2014-09-05T10:44:47","indexId":"ofr20141186","displayToPublicDate":"2014-09-05T10:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1186","title":"Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012","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 spring 2012 were used to describe the spawning migrations in that year and also 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 in 2011. 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 2012, we captured, tagged, and released 749 LRS at four lakeshore spawning areas and recaptured an additional 969 individuals that had been tagged in previous years. Across all four areas, the remote antennas detected 6,578 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 3,376 LRS and 299 SNS, and recaptured 551 LRS and 125 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 four different locations on the Williamson and Sprague Rivers detected a total of 19,321 LRS and 6,124 SNS. Most LRS passed upstream between late April and mid-May when water temperatures were increasing and greater than 10 °C. In contrast, most upstream passage for SNS occurred in early and mid-May when water temperatures were increasing and near or greater than 12 °C. Finally, an additional 1,188 LRS and 1,665 SNS were captured in trammel net sampling at pre-spawn staging areas in the northeastern part of the lake. Of these, 291 of the LRS and 653 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, over 90 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 12,150 individuals, and analyses for the subpopulation that spawns in the rivers included more than 29,500 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than 0.9) between 1999 and 2010. Notably lower survival occurred for both sexes from the rivers in 2000, for both sexes from the shoreline areas in 2002, and for males from the rivers in 2006. Between 2001 and 2011, the abundance of males in the lakeshore spawning subpopulation decreased by 53–65 percent and the abundance of females decreased by 36–48 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 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 were lower than desired for robust inferences from capture-recapture models. If we assume that little or no recruitment occurred in 2006 or 2008, 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 2011.
\nCapture-recapture analyses for SNS included encounter histories for more than 17,700 individuals. Most annual survival estimates between 2001 and 2010 were high (greater than 0.8), but SNS experienced more years of low survival than either LRS subpopulation. Annual survival of both sexes was particularly low in 2001, 2004, and 2010. In addition, male survival was somewhat 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 substantial recruitment of new individuals into the SNS spawning population in 2006, 2008, and 2009. 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, 2008, and 2009 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 71 percent and the abundance of females decreased by 69 percent between 2001 and 2011. The worst-case scenario, which assumes no recruitment and seems more likely, suggests an 86 percent decrease for males and an 81 percent decrease for females.
\nDespite relatively high survival in most years, we conclude that both species have experienced substantial declines in the abundance of spawning fish 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 adult spawning populations for SNS and river spawning LRS in some years, size data do not corroborate these estimates. In fact, fork length data indicate that all populations are largely comprised of fish that were present in the late 1990s and early 2000s. As a result, the status of the endangered sucker populations in Upper Klamath Lake remains worrisome, and the situation is especially dire for shortnose suckers. Future investigations should explore the connections between sucker recruitment and survival and various environmental factors, such as water quality and disease. 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/ofr20141186","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B., and Harris, A., 2014, Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012: U.S. Geological Survey Open-File Report 2014-1186, vi, 44 p., https://doi.org/10.3133/ofr20141186.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-056892","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":293448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141186.PNG"},{"id":293447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1186/pdf/ofr2014-1186.pdf"},{"id":293446,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1186/"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.105786,42.233567 ], [ -122.105786,42.598638 ], [ -121.801545,42.598638 ], [ -121.801545,42.233567 ], [ -122.105786,42.233567 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac02fe4b023c1f29d584d","contributors":{"authors":[{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janney, Eric C. 0000-0002-0228-2174","orcid":"https://orcid.org/0000-0002-0228-2174","contributorId":83629,"corporation":false,"usgs":true,"family":"Janney","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":499965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":499964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70123519,"text":"ofr20141160 - 2014 - Sea-floor morphology and sedimentary environments of western Block Island Sound, northeast of Gardiners Island, New York","interactions":[],"lastModifiedDate":"2014-09-05T10:07:05","indexId":"ofr20141160","displayToPublicDate":"2014-09-05T10:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1160","title":"Sea-floor morphology and sedimentary environments of western Block Island Sound, northeast of Gardiners Island, New York","docAbstract":"Multibeam-echosounder data, collected during survey H12299 by the National Oceanic and Atmospheric Administration in a 162-square-kilometer area of Block Island Sound, northeast of Gardiners Island, New York, are used along with sediment samples and bottom photography, collected at 37 stations in this area by the U.S. Geological Survey during cruise 2013-005-FA, to interpret sea-floor features and sedimentary environments. These data and interpretations provide important base maps for future studies of the sea floor, focused, for example, on benthic ecology and resource management. The features and sedimentary environments on the sea floor are products of the glacial history and modern tidal regime. Features include bedforms such as sand waves and megaripples, boulders, a large current-scoured depression, exposed glaciolacustrine sediments, and areas of modern marine sediment. Sand covers much of the study area and is often in the form of sand waves and megaripples, which indicate environments characterized by coarse-grained bedload transport. Boulders and gravelly lag deposits, which indicate environments of erosion or nondeposition, are found off the coast of Gardiners Island and on bathymetric highs, probably marking areas where deposits associated with recessional ice-front positions, the northern flank of the terminal moraine, or coastal-plain sediments covered with basal till are exposed. Bottom photographs and video of boulders show that they are commonly covered with sessile fauna. Strong tidal currents have produced the deep scour depression along the northwestern edge of the study area. The eastern side of this depression is armored with a gravel lag. Sea-floor areas characterized by modern marine sediments appear featureless at the 2-meter resolution of the bathymetry and flat to current rippled in the photography. These modern environments are indicative of sediment sorting and reworking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141160","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"McMullen, K.Y., Poppe, L., Danforth, W.W., Blackwood, D.S., Clos, A.R., and Parker, C., 2014, Sea-floor morphology and sedimentary environments of western Block Island Sound, northeast of Gardiners Island, New York: U.S. Geological Survey Open-File Report 2014-1160, HTML Document, https://doi.org/10.3133/ofr20141160.","productDescription":"HTML Document","onlineOnly":"N","ipdsId":"IP-056276","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141160.GIF"},{"id":293435,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1160/ofr2014-1160-title_page.html"},{"id":293431,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1160/"}],"country":"United States","state":"New York","otherGeospatial":"Block Island Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.5,39.833333 ], [ -72.5,41.5 ], [ -71.5,41.5 ], [ -71.5,39.833333 ], [ -72.5,39.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac032e4b023c1f29d5871","contributors":{"authors":[{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":24036,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[],"preferred":false,"id":500151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":500148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":500150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":500149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clos, Andrew R.","contributorId":101987,"corporation":false,"usgs":true,"family":"Clos","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Castle E.","contributorId":61754,"corporation":false,"usgs":false,"family":"Parker","given":"Castle E.","affiliations":[],"preferred":false,"id":500152,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70115388,"text":"sir20145124 - 2014 - The June-July 2007 collapse and refilling of Puʻu ʻŌʻō Crater, Kilauea Volcano, Hawaiʻi","interactions":[],"lastModifiedDate":"2019-03-13T09:07:48","indexId":"sir20145124","displayToPublicDate":"2014-09-04T15:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5124","title":"The June-July 2007 collapse and refilling of Puʻu ʻŌʻō Crater, Kilauea Volcano, Hawaiʻi","docAbstract":"Episode 57 of Kīlauea’s long-lived east rift zone eruption was characterized by lava effusion and spattering within the crater at Puʻu ʻŌʻō that lasted from July 1 to July 20, 2007. This eruptive episode represented a resumption of activity following a 12-day eruptive hiatus on Kīlauea associated with the episode 56 intrusion and eruption near Kāne Nui o Hamo cone, uprift from Puʻu ʻŌʻō, on June 17–19, 2007. The withdrawal of magma from beneath Puʻu ʻŌʻō led to the collapse of Puʻu ʻŌʻō’s crater floor, forming a concave depression ~85 m deep. After the hiatus, episode 57 lava began to erupt from two vents within Puʻu ʻŌʻō, quickly constructing a lava lake and filling the crater to within 5 m of the precollapse lava level (25 m of the pre-collapse crater floor). Starting July 8, effusion waned as the crater floor began to rise. As uplift progressed, new vents opened along a circumferential fracture that accommodated the displacement. The bulk volume of filling within the Puʻu ʻŌʻō crater and flank pits during episode 57, including both surficial lava accumulation and endogenous growth, is estimated at 1.3×106 m3. This volume equates to a time-averaged dense rock equivalent accumulation rate of 0.6 m3 s-1, which is an order of magnitude less than the supply rate to the volcano at that time, suggesting that most of the magma entering the volcano was being stored. Eruptive activity in Puʻu ʻŌʻō ended late on July 20, and the floor of the crater began to subside rapidly. Shortly afterward, early on July 21, a new fissure eruption started on the northeast flank of Puʻu ʻŌʻō, marking the onset of episode 58. The June–July 2007 collapse and refilling of the Puʻu ʻŌʻō crater, culminating in a new breakout outside of Puʻu ʻŌʻō, illustrates the response of a long-lived eruptive center in Kīlauea’s East Rift Zone to an uprift intrusion. Variations of this pattern occurred several times at Puʻu ʻŌʻō before 2007 and have occurred again since. Recognition of this pattern has improved the monitoring capability of the Hawaiian Volcano Observatory and will aid in future eruption response efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145124","usgsCitation":"Orr, T., 2014, The June-July 2007 collapse and refilling of Puʻu ʻŌʻō Crater, Kilauea Volcano, Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2014-5124, iii, 15 p., https://doi.org/10.3133/sir20145124.","productDescription":"iii, 15 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045495","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":293426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145124.jpg"},{"id":293424,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5124/"},{"id":293425,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5124/pdf/sir2014-5124.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.333333,19.25 ], [ -155.333333,19.416667 ], [ -154.916667,19.416667 ], [ -154.916667,19.25 ], [ -155.333333,19.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66bbe4b01535cb4272e9","contributors":{"authors":[{"text":"Orr, Tim R.","contributorId":86859,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":495619,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70115049,"text":"sim3306 - 2014 - California State Waters Map Series — Offshore of San Gregorio, California","interactions":[],"lastModifiedDate":"2022-04-18T19:14:54.096311","indexId":"sim3306","displayToPublicDate":"2014-09-04T12:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3306","title":"California State Waters Map Series — Offshore of San Gregorio, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.
\nThe Offshore of San Gregorio map area is located in northern California, on the Pacific coast of the San Francisco Peninsula about 50 kilometers south of the Golden Gate. The map area lies offshore of the Santa Cruz Mountains, part of the northwest-trending Coast Ranges that run roughly parallel to the San Andreas Fault Zone. The Santa Cruz Mountains lie between the San Andreas Fault Zone and the San Gregorio Fault system.
\nThe nearest significant onshore cultural centers in the map area are San Gregorio and Pescadero, both unincorporated communities with populations well under 1,000. Both communities are situated inland of state beaches that share their names. No harbor facilities are within the Offshore of San Gregorio map area. The hilly coastal area is virtually undeveloped grazing land for sheep and cattle.
\nThe coastal geomorphology is controlled by late Pleistocene and Holocene slip in the San Gregorio Fault system. A westward bend in the San Andreas Fault Zone, southeast of the map area, coupled with right-lateral movement along the San Gregorio Fault system have caused regional folding and uplift. The coastal area consists of high coastal bluffs and vertical sea cliffs. Coastal promontories in the northern and southern parts of the map area are the result of right-lateral motion on strands of the San Gregorio Fault system. In the south, headlands near Pescadero Point have been uplifted by motion along the west strand of the San Gregorio Fault (also called the Frijoles Fault), which separates rocks of the Pigeon Point Formation south of the fault from rocks of the Purisima Formation north of the fault. The regional uplift in this map area has caused relatively shallow water depths within California's State Waters and, thus, little accommodation space for sediment accumulation. Sediment is observed offshore in the central part of the map area, in the shelter of the headlands north of the east strand of the San Gregorio Fault (also called the Coastways Fault) around Miramontes Point (about 5 km north of the map area) and also on the outer half of the California's State Waters shelf in the south where depths exceed 40 m. Sediment in the outer shelf of California's State Waters is rippled, indicating some mobility.
\nThe Offshore of San Gregorio map area lies within the cold-temperate biogeographic zone that is called either the \"Oregonian province\" or the \"northern California ecoregion.\" This biogeographic province is maintained by the long-term stability of the southward-flowing California Current, an eastern limb of the North Pacific subtropical gyre that flows from Oregon to Baja California. At its midpoint off central California, the California Current transports subarctic surface (0–500 m deep) waters southward, about 150 to 1,300 km from shore. Seasonal northwesterly winds that are, in part, responsible for the California Current, generate coastal upwelling. The south end of the Oregonian province is at Point Conception (about 350 km south of the map area), although its associated phylogeographic group of marine fauna may extend beyond to the area offshore of Los Angeles in southern California. The ocean off of central California has experienced a warming over the last 50 years that is driving an ecosystem shift away from the productive subarctic regime towards a depopulated subtropical environment.
\nSeafloor habitats in the Offshore of San Gregorio map area, which lies within the Shelf (continental shelf) megahabitat, range from significant rocky outcrops that support kelp-forest communities nearshore to rocky-reef communities in deep water. Biological productivity resulting from coastal upwelling supports diverse populations of sea birds such as Sooty Shearwater, Western Gull, Common Murre, Cassin's Auklet, and many other less populous bird species. In addition, an observable recovery of Humpback and Blue Whales has occurred in the area; both species are dependent on coastal upwelling to provide nutrients. The large extent of exposed inner shelf bedrock supports large forests of \"bull kelp,\" which is well adapted for high wave-energy environments. Common fish species found in the kelp beds and rocky reefs include lingcod and various species of rockfish and greenling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3306","usgsCitation":"Cochrane, G.R., Dartnell, P., Greene, H., Watt, J., Golden, N., Endris, C.A., Phillips, E., Hartwell, S., Johnson, S.Y., Kvitek, R.G., Erdey, M.D., Bretz, C.K., Manson, M.W., Sliter, R.W., Ross, S.L., Dieter, B., Chin, J., and Cochran, S., 2014, California State Waters Map Series — Offshore of San Gregorio, California: U.S. Geological Survey Scientific Investigations Map 3306, Pamphlet: iv, 38 p.; 10 Plates: 50.0 x 36.0 inches or smaller, https://doi.org/10.3133/sim3306.","productDescription":"Pamphlet: iv, 38 p.; 10 Plates: 50.0 x 36.0 inches or smaller","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051117","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3306.jpg"},{"id":293409,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet1.pdf"},{"id":293410,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet2.pdf"},{"id":293412,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet4.pdf"},{"id":293411,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet3.pdf"},{"id":293413,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet5.pdf"},{"id":293414,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet6.pdf"},{"id":293415,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet7.pdf"},{"id":293416,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet8.pdf"},{"id":293417,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet9.pdf"},{"id":293418,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet10.pdf"},{"id":293408,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3306/"},{"id":293420,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_pamphlet.pdf"},{"id":398962,"rank":14,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100686.htm"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 10N","country":"United States","state":"California","city":"San Gregorio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.55,37.216667 ], [ -122.55,37.4 ], [ -122.333333,37.4 ], [ -122.333333,37.216667 ], [ -122.55,37.216667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54096eafe4b03a5cfcdfafb2","contributors":{"editors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":509912,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":509913,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":495499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, H. 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2014 - Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13","interactions":[],"lastModifiedDate":"2017-01-18T13:15:57","indexId":"sir20145169","displayToPublicDate":"2014-09-02T16:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5169","title":"Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13","docAbstract":"A major issue facing the greater New Hanover County, North Carolina, area is the increased demand for drinking water resources as a result of rapid growth. The principal sources of freshwater supply in the greater New Hanover County area are withdrawals of surface water from the Cape Fear River and groundwater from the underlying Castle Hayne and Peedee aquifers. Industrial, mining, irrigation, and aquaculture groundwater withdrawals increasingly compete with public-supply utilities for freshwater resources. Future population growth and economic expansion will require increased dependence on high-quality sources of fresh groundwater.
\nAn evaluation of the hydrogeology and water-quality conditions in the surficial, Castle Hayne, and Peedee aquifers was conducted in New Hanover, eastern Brunswick, and southern Pender Counties, North Carolina. A hydrogeologic framework was delineated by using a description of the geologic and hydrogeologic units that compose aquifers and their confining units. Current and historic water-level, water-quality, and water-isotope data were used to approximate the present boundary between freshwater and brackish water in the study area.
\nWater-level data collected during August–September 2012 and March 2013 in the Castle Hayne aquifer show that recharge areas with the highest groundwater altitudes are located in central New Hanover County, and the lowest are located in a discharge area along the Atlantic Ocean. Between 1964 and 2012, groundwater levels in the Castle Hayne aquifer in central New Hanover County have rebounded by about 10 feet, but in the Pages Creek area groundwater levels declined in excess of 20 feet. In the Peedee aquifer, the August–September 2012 groundwater levels were affected by industrial withdrawals in north-central New Hanover County. Groundwater levels in the Peedee aquifer declined more than 20 feet between 1964 and 2012 in northeastern New Hanover County because of increased withdrawals. Vertical gradients calculated between the Castle Hayne and Peedee aquifers at six well cluster sites were downward in August–September 2012 and March 2013 with the exception of one well pair that had a slight upward gradient in March 2013.
\nMajor ion chemistry results from samples collected in August–September 2012 from 97 well sites suggest that seawater is mixing with groundwater in both the Castle Hayne and Peedee aquifers in several locations in Brunswick, New Hanover, and Pender Counties. The 250 milligram per liter line of equal chloride concentration has moved inland in both aquifers since 1965, with the area between Futch and Pages Creeks in northeastern New Hanover County experiencing the greatest increase. Groundwater from the surficial, Castle Hayne, and Peedee aquifers had a stable isotope of water composition similar to that of modern precipitation. A comparison of chloride concentration data collected from public-supply wells in the 1960s with that collected in 2012 shows marked increases in chloride concentrations in the Peedee aquifer near the town of Carolina Beach at the southern end of New Hanover County.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145169","collaboration":"Prepared in cooperation with the Cape Fear Public Utility Authority","usgsCitation":"McSwain, K., Gurley, L., and Antolino, D., 2014, Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5169, Report: ix, 52 p.; 2 Appendixes, https://doi.org/10.3133/sir20145169.","productDescription":"Report: ix, 52 p.; 2 Appendixes","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051297","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70119630,"text":"sir20145151 - 2014 - Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13","interactions":[],"lastModifiedDate":"2014-09-04T09:20:13","indexId":"sir20145151","displayToPublicDate":"2014-09-02T11:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5151","title":"Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13","docAbstract":"Stream discharge and water levels in wells were measured at multiple sites in the Wood River Valley, south-central Idaho, in August 2012, October 2012, and March 2013, as a component of data collection for a groundwater-flow model of the Wood River Valley aquifer system. This model is a cooperative and collaborative effort between the U.S. Geological Survey and the Idaho Department of Water Resources.
\nStream-discharge measurements for determination of seepage were made during several days on three occasions: August 27–28, 2012, October 22–24, 2012, and March 27–28, 2013. Discharge measurements were made at 49 sites in August and October, and 51 sites in March, on the Big Wood River, Silver Creek, their tributaries, and nearby canals.
\nThe Big Wood River generally gains flow between the Big Wood River near Ketchum streamgage (13135500) and the Big Wood River at Hailey streamgage (13139510), and loses flow between the Hailey streamgage and the Big Wood River at Stanton Crossing near Bellevue streamgage (13140800). Shorter reaches within these segments may differ in the direction or magnitude of seepage or may be indeterminate because of measurement uncertainty. Additional reaches were measured on Silver Creek, the North Fork Big Wood River, Warm Springs Creek, Trail Creek, and the East Fork Big Wood River. Discharge measurements also were made on the Hiawatha, Cove, District 45, Glendale, and Bypass Canals, and smaller tributaries to the Big Wood River and Silver Creek.
\nWater levels in 93 wells completed in the Wood River Valley aquifer system were measured during October 22–24, 2012; these wells are part of a network established by the U.S. Geological Survey in 2006. Maps of the October 2012 water-table altitude in the unconfined aquifer and the potentiometric-surface altitude of the confined aquifer have similar topology to those on maps of October 2006 conditions.
\nBetween October 2006 and October 2012, water-table altitude in the unconfined aquifer rose by as much as 1.86 feet in 6 wells and declined by as much as 14.28 feet in 77 wells; average decline was 2.9 feet. A map of changes in the water‑table altitude of the unconfined aquifer shows that the largest declines were in tributary canyons and in an area roughly between Baseline and Glendale Roads.
\nFrom October 2006 to October 2012, the potentiometric-surface altitude in 10 wells completed in the confined aquifer declined between 0.12 and 20.50 feet; average decline was 6.8 feet. A map of changes in the potentiometric-surface altitude of the confined aquifer shows that the largest declines were in the southwestern part of the Bellevue fan.
\nReduced precipitation prior to the October 2012 water-level measurements likely is partially responsible for 2006–12 water-table declines in the unconfined aquifer; the relative contribution of precipitation deficit and groundwater withdrawals to the declines is not known. Although the confined aquifer may not receive direct recharge from precipitation or streams, groundwater withdrawal from the confined aquifer induces flow from the unconfined aquifer. Declines in the confined aquifer are likely due to groundwater withdrawals and declines in the water table of the unconfined aquifer. A statistical analysis of five long-term monitoring wells (three completed in the unconfined aquifer, one in the confined aquifer, and one outside the aquifer system boundary) showed statistically significant declining trends in four wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145151","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., 2014, Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5151, Report: v, 34 p.; 3 Plates: 16.02 x 24.50 inches or smaller, https://doi.org/10.3133/sir20145151.","productDescription":"Report: v, 34 p.; 3 Plates: 16.02 x 24.50 inches or smaller","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039539","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":293290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145151.jpg"},{"id":293286,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151.pdf"},{"id":293287,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate01.pdf"},{"id":293288,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate02.pdf"},{"id":293289,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate03.pdf"},{"id":293285,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5151/"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.299315,43.3254 ], [ -114.299315,43.341632 ], [ -114.33133,43.341632 ], [ -114.33133,43.3254 ], [ -114.299315,43.3254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5406cbb1e4b044dc0e823997","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497746,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156769,"text":"70156769 - 2014 - Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands","interactions":[],"lastModifiedDate":"2015-08-31T11:09:54","indexId":"70156769","displayToPublicDate":"2014-09-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands","docAbstract":"The coastal wetlands of southwest Florida that extend from Charlotte Harbor south to Cape Sable, contain more than 60,000 ha of mangroves and 22,177 ha of salt marsh. These coastal wetlands form a transition zone between the freshwater and marine environments of the South Florida Coastal Marine Ecosystem (SFCME). The coastal wetlands provide diverse ecosystem services that are valued by society and thus are important to the economy of the state. Species from throughout the region spend part of their life cycle in the coastal wetlands, including many marine and coastal-dependent species, making this zone critical to the ecosystem health of the Everglades and the SFCME. However, the coastal wetlands are increasingly vulnerable due to rising sea level, changes in storm intensity and frequency, land use, and water management practices. They are at the boundary of the region covered by the Comprehensive Everglades Restoration Plan (CERP), and thus are impacted by both CERP and marine resource management decisions. An integrated conceptual ecological model (ICEM) for the southwest coastal wetlands of Florida was developed that illustrates the linkages between drivers, pressures, ecological process, and ecosystem services. Five ecological indicators are presented: (1) mangrove community structure and spatial extent; (2) waterbirds; (3) prey-base fish and macroinvertebrates; (4) crocodilians; and (5) periphyton. Most of these indicators are already used in other areas of south Florida and the SFCME, and therefore will allow metrics from the coastal wetlands to be used in system-wide assessments that incorporate the entire Greater Everglades Ecosystem.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2014.01.007","collaboration":"NOAA, National Park Service (Everglades NP), US Fish & Wildlife Service, Florida Audubon Society","usgsCitation":"Wingard, G.L., and Lorenz, J.L., 2014, Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands: Ecological Indicators, v. 44, p. 92-107, https://doi.org/10.1016/j.ecolind.2014.01.007.","productDescription":"16 p.","startPage":"92","endPage":"107","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038687","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e57ab0e4b05561fa2086a3","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":570446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, J. L.","contributorId":147122,"corporation":false,"usgs":false,"family":"Lorenz","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":16789,"text":"Audubon Society of Florida","active":true,"usgs":false}],"preferred":false,"id":570447,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70176409,"text":"70176409 - 2014 - Modification of the Quaternary stratigraphic framework of the inner-continental shelf by Holocene marine transgression: An example offshore of Fire Island, New York","interactions":[],"lastModifiedDate":"2016-09-13T09:10:40","indexId":"70176409","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modification of the Quaternary stratigraphic framework of the inner-continental shelf by Holocene marine transgression: An example offshore of Fire Island, New York","docAbstract":"The inner-continental shelf off Fire Island, New York was mapped in 2011 using interferometric sonar and high-resolution chirp seismic-reflection systems. The area mapped is approximately 50 km long by 8 km wide, extending from Moriches Inlet to Fire Island Inlet in water depths ranging from 8 to 32 m. The morphology of this inner-continental shelf region and modern sediment distribution patterns are determined by erosion of Pleistocene glaciofluvial sediments during the ongoing Holocene marine transgression; much of the shelf is thus an actively forming ravinement surface. Remnants of a Pleistocene outwash lobe define a submerged headland offshore of central Fire Island. East of the submerged headland, relatively older Pleistocene outwash is exposed over much of the inner-continental shelf and covered by asymmetric, sorted bedforms interpreted to indicate erosion and westward transport of reworked sediment. Erosion of the eastern flank of the submerged Pleistocene headland over the last ~ 8000 years yielded an abundance of modern sand that was transported westward and reworked into a field of shoreface-attached ridges offshore of western Fire Island. West of the submerged headland, erosion of Pleistocene outwash continues in troughs between the sand ridges, resulting in modification of the lower shoreface. Comparison of the modern sand ridge morphology with the morphology of the underlying ravinement surface suggests that the sand ridges have moved a minimum of ~ 1000 m westward since formation. Comparison of modern sediment thickness mapped in 1996–1997 and 2011 allows speculation that the nearshore/shoreface sedimentary deposit has gained sediment at the expense of deflation of the sand ridges.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2014.06.011","usgsCitation":"Schwab, W.C., Baldwin, W.E., Denny, J.F., Hapke, C.J., Gayes, P.T., List, J.H., and Warner, J., 2014, Modification of the Quaternary stratigraphic framework of the inner-continental shelf by Holocene marine transgression: An example offshore of Fire Island, New York: Marine Geology, v. 355, p. 346-360, https://doi.org/10.1016/j.margeo.2014.06.011.","productDescription":"15 p.","startPage":"346","endPage":"360","ipdsId":"IP-057751","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472795,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.margeo.2014.06.011","text":"External Repository"},{"id":328582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.3172607421875,\n 40.62333412763721\n ],\n [\n -72.75283813476562,\n 40.76806170936614\n ],\n [\n -72.6690673828125,\n 40.62541876792774\n ],\n [\n -73.24172973632812,\n 40.47202439692057\n ],\n [\n -73.3172607421875,\n 40.62333412763721\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"355","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d9233ce4b090824ffa1ad1","contributors":{"authors":[{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":648645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gayes, Paul T.","contributorId":86466,"corporation":false,"usgs":false,"family":"Gayes","given":"Paul","email":"","middleInitial":"T.","affiliations":[{"id":24750,"text":"Coastal Carolina University","active":true,"usgs":false}],"preferred":false,"id":648646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648648,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173531,"text":"70173531 - 2014 - Recent population size, trends, and limiting factors for the double-crested Cormorant in Western North America","interactions":[],"lastModifiedDate":"2016-06-14T15:27:59","indexId":"70173531","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Recent population size, trends, and limiting factors for the double-crested Cormorant in Western North America","docAbstract":"The status of the double-crested cormorant (Phalacrocorax auritus) in western North America was last evaluated during 1987–2003. In the interim, concern has grown over the potential impact of predation by double-crested cormorants on juvenile salmonids (Oncorhynchusspp.), particularly in the Columbia Basin and along the Pacific coast where some salmonids are listed for protection under the United States Endangered Species Act. Recent re-evaluations of double-crested cormorant management at the local, flyway, and federal level warrant further examination of the current population size and trends in western North America. We collected colony size data for the western population (British Columbia, Washington, Oregon, Idaho, California, Nevada, Utah, Arizona, and the portions of Montana, Wyoming, Colorado and New Mexico west of the Continental Divide) by conducting aircraft-, boat-, or ground-based surveys and by cooperating with government agencies, universities, and non-profit organizations. In 2009, we estimated approximately 31,200 breeding pairs in the western population. We estimated that cormorant numbers in the Pacific Region (British Columbia, Washington, Oregon, and California) increased 72% from 1987–1992 to circa 2009. Based on the best available data for this period, the average annual growth rate (λ) of the number of breeding birds in the Pacific Region was 1.03, versus 1.07 for the population east of the Continental Divide during recent decades. Most of the increase in the Pacific Region can be attributed to an increase in the size of the nesting colony on East Sand Island in the Columbia River estuary, which accounts for about 39% of all breeding pairs in the western population and is the largest known breeding colony for the species (12,087 breeding pairs estimated in 2009). In contrast, numbers of breeding pairs estimated in coastal British Columbia and Washington have declined by approximately 66% during this same period. Disturbance at breeding colonies by bald eagles (Haliaeetus leucocephalus) and humans are likely limiting factors on the growth of the western population at present. Because of differences in biology and management, the western population of double-crested cormorants warrants consideration as a separate management unit from the population east of the Continental Divide.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.737","usgsCitation":"Adkins, J.Y., Roby, D.D., Lyons, D., Courtot, K., Collis, K., Carter, H., Shuford, W.D., and Capitolo, P.J., 2014, Recent population size, trends, and limiting factors for the double-crested Cormorant in Western North America: Journal of Wildlife Management, v. 78, no. 7, p. 1131-1142, https://doi.org/10.1002/jwmg.737.","productDescription":"12 p.","startPage":"1131","endPage":"1142","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040850","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-07","publicationStatus":"PW","scienceBaseUri":"57612ab3e4b04f417c2ce4bf","contributors":{"authors":[{"text":"Adkins, Jessica Y.","contributorId":171820,"corporation":false,"usgs":false,"family":"Adkins","given":"Jessica","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":638785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, Donald E.","contributorId":20119,"corporation":false,"usgs":true,"family":"Lyons","given":"Donald E.","affiliations":[],"preferred":false,"id":638786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtot, Karen N.","contributorId":26909,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen N.","affiliations":[],"preferred":false,"id":638787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collis, Ken","contributorId":149991,"corporation":false,"usgs":false,"family":"Collis","given":"Ken","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":638788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carter, Harry R.","contributorId":79546,"corporation":false,"usgs":true,"family":"Carter","given":"Harry R.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":638789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shuford, W. David","contributorId":171821,"corporation":false,"usgs":false,"family":"Shuford","given":"W.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":638790,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capitolo, Phillip J.","contributorId":171822,"corporation":false,"usgs":false,"family":"Capitolo","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638791,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187382,"text":"70187382 - 2014 - Disease and community structure: white-nose syndrome alters spatial and temporal niche partitioning in sympatric bat species","interactions":[],"lastModifiedDate":"2017-05-01T11:06:15","indexId":"70187382","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Disease and community structure: white-nose syndrome alters spatial and temporal niche partitioning in sympatric bat species","docAbstract":"Aim
Emerging infectious diseases present a major perturbation with apparent direct effects such as reduced population density, extirpation and/or extinction. Comparatively less is known about the potential indirect effects of disease that likely alter community structure and larger ecosystem function. Since 2006, white-nose syndrome (WNS) has resulted in the loss of over 6 million hibernating bats in eastern North America. Considerable evidence exists concerning niche partitioning in sympatric bat species in this region, and the unprecedented, rapid decline in multiple species following WNS may provide an opportunity to observe a dramatic restructuring of the bat community.
Location
We conducted our study at Fort Drum Army Installation in Jefferson and Lewis counties, New York, USA, where WNS first impacted extant bat species in winter 2007–2008.
Methods
Acoustical monitoring during 2003–2011 allowed us to test the hypothesis that spatial and temporal niche partitioning by bats was relaxed post-WNS.
Results
We detected nine bat species pre- and post-WNS. Activity for most bat species declined post-WNS. Dramatic post-WNS declines in activity of little brown bat (Myotis lucifugus, MYLU), formerly the most abundant bat species in the region, were associated with complex, often species-specific responses by other species that generally favoured increased spatial and temporal overlap with MYLU.
Main conclusions
In addition to the obvious direct effects of disease on bat populations and activity levels, our results provide evidence that disease can have cascading indirect effects on community structure. Recent occurrence of WNS in North America, combined with multiple existing stressors, is resulting in dramatic shifts in temporal and spatial niche partitioning within bat communities. These changes might influence long-term population viability of some bat species as well as broader scale ecosystem structure and function.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12192","usgsCitation":"Jachowski, D.S., Dobony, C.A., Coleman, L.S., Ford, W.M., Britzke, E.R., and Rodrigue, J.L., 2014, Disease and community structure: white-nose syndrome alters spatial and temporal niche partitioning in sympatric bat species: Diversity and Distributions, v. 20, no. 9, p. 1002-1015, https://doi.org/10.1111/ddi.12192.","productDescription":"14 p.","startPage":"1002","endPage":"1015","ipdsId":"IP-051705","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12192","text":"Publisher Index Page"},{"id":340662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","county":"Jefferson County, Lewis County","otherGeospatial":"Fort 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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":693704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693716,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189093,"text":"70189093 - 2014 - Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data","interactions":[],"lastModifiedDate":"2017-06-29T15:06:51","indexId":"70189093","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data","docAbstract":"The magnetotelluric component of the EarthScope USArray program has covered over 35% of the continental United States. Resistivity tomography models derived from these data image lithospheric structure and provide constraints on the distribution of fluids and melt within the lithosphere. We present a three-dimensional resistivity model of the northwestern United States which provides new insight into the tectonic assembly of western North America from the Archean to present. Comparison with seismic tomography models reveals regions of correlated and anti-correlated resistivity and velocity that help identify thermal and compositional variations within the lithosphere. Recent (Neogene) tectonic features reflected in the model include the subducting Juan de Fuca–Gorda plate which can be traced beneath the forearc to more than 100 km depth, high lithospheric conductivity along the Snake River Plain, and pronounced lower-crustal and upper-mantle conductivity beneath the Basin and Range. The latter is abruptly terminated to the northwest by the Klamath–Blue Mountains Lineament, which we interpret as an important structure during and since the Mesozoic assembly of the region. This boundary is interpreted to separate hot extended lithosphere from colder, less extended lithosphere. The western edge of Proterozoic North America, as indicated by the Cretaceous initial 87Sr/86Sr = 0.706 contour, is clearly reflected in the resistivity model. We further image an Archean crustal block (“Pend Oreille block”) straddling the Washington/Idaho border, which we speculate separated from the Archean Medicine Hat block in the Proterozoic. Finally, in the modern Cascades forearc, the geometry and internal structure of the Eocene Siletz terrane is reflected in the resistivity model. The apparent eastern edge of the Siletz terrane under the Cascades arc suggests that pre-Tertiary rocks fill the Washington and Oregon back-arc.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.07.035","usgsCitation":"Bedrosian, P.A., and Feucht, D.W., 2014, Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data: Earth and Planetary Science Letters, v. 402, p. 275-289, https://doi.org/10.1016/j.epsl.2013.07.035.","productDescription":"15 p.","startPage":"275","endPage":"289","ipdsId":"IP-049294","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.3759765625,\n 35.639441068973944\n ],\n [\n -105,\n 35.639441068973944\n ],\n [\n -105,\n 49.009050809382046\n ],\n [\n -125.3759765625,\n 49.009050809382046\n ],\n [\n -125.3759765625,\n 35.639441068973944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"402","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c0e4b0d1f9f0506798","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feucht, Daniel W. dfeucht@usgs.gov","contributorId":5022,"corporation":false,"usgs":true,"family":"Feucht","given":"Daniel","email":"dfeucht@usgs.gov","middleInitial":"W.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702836,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148148,"text":"70148148 - 2014 - Evaluation of a regional monitoring program's statistical power to detect temporal trends in forest health indicators","interactions":[],"lastModifiedDate":"2015-05-27T13:20:56","indexId":"70148148","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a regional monitoring program's statistical power to detect temporal trends in forest health indicators","docAbstract":"Forests are socioeconomically and ecologically important ecosystems that are exposed to a variety of natural and anthropogenic stressors. As such, monitoring forest condition and detecting temporal changes therein remain critical to sound public and private forestland management. The National Parks Service’s Vital Signs monitoring program collects information on many forest health indicators, including species richness, cover by exotics, browse pressure, and forest regeneration. We applied a mixed-model approach to partition variability in data for 30 forest health indicators collected from several national parks in the eastern United States. We then used the estimated variance components in a simulation model to evaluate trend detection capabilities for each indicator. We investigated the extent to which the following factors affected ability to detect trends: (a) sample design: using simple panel versus connected panel design, (b) effect size: increasing trend magnitude, (c) sample size: varying the number of plots sampled each year, and (d) stratified sampling: post-stratifying plots into vegetation domains. Statistical power varied among indicators; however, indicators that measured the proportion of a total yielded higher power when compared to indicators that measured absolute or average values. In addition, the total variability for an indicator appeared to influence power to detect temporal trends more than how total variance was partitioned among spatial and temporal sources. Based on these analyses and the monitoring objectives of theVital Signs program, the current sampling design is likely overly intensive for detecting a 5 % trend·year−1 for all indicators and is appropriate for detecting a 1 % trend·year−1 in most indicators.
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