{"pageNumber":"1490","pageRowStart":"37225","pageSize":"25","recordCount":184617,"records":[{"id":70040647,"text":"70040647 - 2013 - Modeling prey consumption by native and non-native piscivorous fishes: implications for competition and impacts on shared prey in an ultraoligotrophic lake in Patagonia","interactions":[],"lastModifiedDate":"2013-07-23T15:36:05","indexId":"70040647","displayToPublicDate":"2013-07-23T15:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Modeling prey consumption by native and non-native piscivorous fishes: implications for competition and impacts on shared prey in an ultraoligotrophic lake in Patagonia","docAbstract":"We examined trophic interactions of the nonnative salmonids Rainbow Trout Oncorhynchus mykiss, Brown Trout Salmo trutta, and Brook Trout Salvelinus fontinalisand the main native predator Creole Perch Percichthys trucha in Lake Nahuel Huapi (Patagonia, Argentina) to determine the relative impact of each predator on their forage base and to evaluate the potential vulnerability of each predator to competitive impacts by the others. Using bioenergetics simulations, we demonstrated the overall importance of galaxiids and decapods to the energy budgets of nonnative salmonids and Creole Perch. Introduced salmonids, especially Rainbow Trout, exerted considerably heavier predatory demands on shared resources than did the native Creole Perch on both a per capita basis and in terms of relative population impacts. Rainbow Trout consumed higher quantities and a wider size range of Small Puyen (also known as Inanga) Galaxias maculatus than the other predators, including early pelagic life stages of that prey; as such, this represents an additional source of mortality for the vulnerable early life stages of Small Puyen before and during their transition from pelagic to benthic habitats. All predators were generally feeding at high feeding rates (above 40% of their maximum physiological rates), suggesting that competition for prey does not currently limit either Creole Perch or the salmonids in this lake. This study highlights the importance of keystone prey for the coexistence of native species with nonnative top predators. It provides new quantitative and qualitative evidence of the high predation pressure exerted on Small Puyen, the keystone prey species, during the larval to juvenile transition from pelagic to littoral-benthic habitat in Patagonian lakes. This study also emphasizes the importance of monitoring salmonid and Creole Perch population dynamics in order to detect signs of potential impacts through competition and shows the need to carefully consider the rationale behind any additional trout stocking.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.730109","usgsCitation":"Juncos, R., Beauchamp, D.A., and Viglianoc, P.H., 2013, Modeling prey consumption by native and non-native piscivorous fishes: implications for competition and impacts on shared prey in an ultraoligotrophic lake in Patagonia: Transactions of the American Fisheries Society, v. 142, no. 1, p. 268-281, https://doi.org/10.1080/00028487.2012.730109.","productDescription":"14 p.","startPage":"268","endPage":"281","numberOfPages":"14","ipdsId":"IP-038187","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275322,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.730109"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.65708,-41.1326 ], [ -71.65708,-40.82996 ], [ -71.15206,-40.82996 ], [ -71.15206,-41.1326 ], [ -71.65708,-41.1326 ] ] ] } } ] }","volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-27","publicationStatus":"PW","scienceBaseUri":"51ef97d5e4b0b09fbe58f14d","contributors":{"authors":[{"text":"Juncos, Romina","contributorId":39675,"corporation":false,"usgs":true,"family":"Juncos","given":"Romina","email":"","affiliations":[],"preferred":false,"id":468710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":468708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viglianoc, Pablo H.","contributorId":38456,"corporation":false,"usgs":true,"family":"Viglianoc","given":"Pablo","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":468709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047173,"text":"70047173 - 2013 - Applying UV cameras for SO<sub>2</sub> detection to distant or optically thick volcanic plumes","interactions":[],"lastModifiedDate":"2013-07-23T15:23:06","indexId":"70047173","displayToPublicDate":"2013-07-23T15:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Applying UV cameras for SO<sub>2</sub> detection to distant or optically thick volcanic plumes","docAbstract":"Ultraviolet (UV) camera systems represent an exciting new technology for measuring two dimensional sulfur dioxide (SO<sub>2</sub>) distributions in volcanic plumes. The high frame rate of the cameras allows the retrieval of SO<sub>2</sub> emission rates at time scales of 1 Hz or higher, thus allowing the investigation of high-frequency signals and making integrated and comparative studies with other high-data-rate volcano monitoring techniques possible. One drawback of the technique, however, is the limited spectral information recorded by the imaging systems. Here, a framework for simulating the sensitivity of UV cameras to various SO<sub>2</sub> distributions is introduced. Both the wavelength-dependent transmittance of the optical imaging system and the radiative transfer in the atmosphere are modeled. The framework is then applied to study the behavior of different optical setups and used to simulate the response of these instruments to volcanic plumes containing varying SO<sub>2</sub> and aerosol abundances located at various distances from the sensor. Results show that UV radiative transfer in and around distant and/or optically thick plumes typically leads to a lower sensitivity to SO<sub>2</sub> than expected when assuming a standard Beer–Lambert absorption model. Furthermore, camera response is often non-linear in SO<sub>2</sub> and dependent on distance to the plume and plume aerosol optical thickness and single scatter albedo. The model results are compared with camera measurements made at Kilauea Volcano (Hawaii) and a method for integrating moderate resolution differential optical absorption spectroscopy data with UV imagery to retrieve improved SO<sub>2</sub> column densities is discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2013.06.009","usgsCitation":"Kern, C., Werner, C., Elias, T., Sutton, A.J., and Lübcke, P., 2013, Applying UV cameras for SO<sub>2</sub> detection to distant or optically thick volcanic plumes: Journal of Volcanology and Geothermal Research, v. 262, p. 80-89, https://doi.org/10.1016/j.jvolgeores.2013.06.009.","productDescription":"10 p.","startPage":"80","endPage":"89","ipdsId":"IP-043068","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"links":[{"id":275321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275320,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2013.06.009"},{"id":275310,"type":{"id":15,"text":"Index Page"},"url":"https://linkinghub.elsevier.com/retrieve/pii/S0377027313001832"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97cfe4b0b09fbe58f145","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Cynthia 0000-0003-3311-6694","orcid":"https://orcid.org/0000-0003-3311-6694","contributorId":11444,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":481222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, A. Jeff","contributorId":45605,"corporation":false,"usgs":true,"family":"Sutton","given":"A.","email":"","middleInitial":"Jeff","affiliations":[],"preferred":false,"id":481223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lübcke, Peter","contributorId":82202,"corporation":false,"usgs":true,"family":"Lübcke","given":"Peter","affiliations":[],"preferred":false,"id":481224,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043322,"text":"70043322 - 2013 - Presence of indicator plant species as a predictor of wetland vegetation integrity","interactions":[],"lastModifiedDate":"2013-07-23T13:36:52","indexId":"70043322","displayToPublicDate":"2013-07-23T13:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Presence of indicator plant species as a predictor of wetland vegetation integrity","docAbstract":"We fit regression and classification tree models to vegetation data collected from Ohio (USA) wetlands to determine (1) which species best predict Ohio vegetation index of biotic integrity (OVIBI) score and (2) which species best predict high-quality wetlands (OVIBI score >75). The simplest regression tree model predicted OVIBI score based on the occurrence of three plant species: skunk-cabbage (Symplocarpus foetidus), cinnamon fern (Osmunda cinnamomea), and swamp rose (Rosa palustris). The lowest OVIBI scores were best predicted by the absence of the selected plant species rather than by the presence of other species. The simplest classification tree model predicted high-quality wetlands based on the occurrence of two plant species: skunk-cabbage and marsh-fern (Thelypteris palustris). The overall misclassification rate from this tree was 13 %. Again, low-quality wetlands were better predicted than high-quality wetlands by the absence of selected species rather than the presence of other species using the classification tree model. Our results suggest that a species’ wetland status classification and coefficient of conservatism are of little use in predicting wetland quality. A simple, statistically derived species checklist such as the one created in this study could be used by field biologists to quickly and efficiently identify wetland sites likely to be regulated as high-quality, and requiring more intensive field assessments. Alternatively, it can be used for advanced determinations of low-quality wetlands. Agencies can save considerable money by screening wetlands for the presence/absence of such “indicator” species before issuing permits.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Plant Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11258-013-0168-z","usgsCitation":"Stapanian, M.A., Adams, J.V., and Gara, B., 2013, Presence of indicator plant species as a predictor of wetland vegetation integrity: Plant Ecology, v. 214, no. 2, p. 291-302, https://doi.org/10.1007/s11258-013-0168-z.","productDescription":"12 p.","startPage":"291","endPage":"302","numberOfPages":"12","ipdsId":"IP-043331","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":275306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275302,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11258-013-0168-z"}],"country":"United States","state":"Ohio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.1502,38.4032 ], [ -84.1502,41.9321 ], [ -80.519,41.9321 ], [ -80.519,38.4032 ], [ -84.1502,38.4032 ] ] ] } } ] }","volume":"214","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-26","publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f165","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gara, Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":473388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047149,"text":"70047149 - 2013 - Reappraisal of the relationship between the northern Nevada rift and Miocene extension in the northern Basin and Range Province","interactions":[],"lastModifiedDate":"2013-07-23T13:31:32","indexId":"70047149","displayToPublicDate":"2013-07-23T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Reappraisal of the relationship between the northern Nevada rift and Miocene extension in the northern Basin and Range Province","docAbstract":"The northern Nevada rift is a prominent mafic dike swarm and magnetic anomaly in north-central Nevada inferred to record the Middle Miocene (16.5-15.0 Ma) extension direction in the northern Basin and Range province in the western United States. From the 245&deg;-250&deg; rift direction, Basin and Range extension is inferred to have shifted 45&deg; clockwise to a modern direction of 290&deg;-300&deg; during the late Miocene. The region surrounding the northern Nevada rift was actively extending while the rift formed, and these domains are all characterized by extension oriented 280&deg;-300&deg;. This direction is distinctly different from the rift direction and nearly identical to the modern Basin and Range direction. Although the rate, structural style, and distribution of Basin and Range extension appear to have undergone a significant change in the late Miocene (ca. 10 Ma), the overall spreading direction does not. Middle Miocene extension was directed perpendicular to the axis of the thickest crust formed during Mesozoic shortening and this orientation may reflect gravitational collapse of this thick crust. Orientation of northern Nevada rift dikes may reflect a short-lived regional stress field related to the onset of Yellowstone hotspot volcanism.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G33512.1","usgsCitation":"Colgan, J.P., 2013, Reappraisal of the relationship between the northern Nevada rift and Miocene extension in the northern Basin and Range Province: Geology, v. 41, no. 2, p. 211-214, https://doi.org/10.1130/G33512.1.","productDescription":"4 p.","startPage":"211","endPage":"214","numberOfPages":"4","ipdsId":"IP-040227","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":275305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275246,"type":{"id":15,"text":"Index Page"},"url":"https://geology.gsapubs.org/content/41/2/211.abstract"},{"id":275245,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G33512.1"}],"country":"United States","state":"California;Idaho;Montana;Nevada;Oregon;Utah;Washington;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,35.0 ], [ -122.0,48.0 ], [ -111.0,48.0 ], [ -111.0,35.0 ], [ -122.0,35.0 ] ] ] } } ] }","volume":"41","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f169","contributors":{"authors":[{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":481173,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047150,"text":"70047150 - 2013 - Superimposed extension and shortening in the southern Salinas Basin and La Panza Range, California: A guide to Neogene deformation in the Salinian block of the central California Coast Ranges","interactions":[],"lastModifiedDate":"2013-07-23T11:48:11","indexId":"70047150","displayToPublicDate":"2013-07-23T11:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Superimposed extension and shortening in the southern Salinas Basin and La Panza Range, California: A guide to Neogene deformation in the Salinian block of the central California Coast Ranges","docAbstract":"We synthesized data from geologic maps, wells, seismic-reflection profiles, potential-field interpretations, and low-temperature thermochronology to refine our understanding of late Cenozoic extension and shortening in the Salinian block of the central California Coast Ranges. Data from the La Panza Range and southern Salinas Basin document early to middle Miocene extension, followed by Pliocene and younger shortening after a period of little deformation in the late Miocene. Extension took place on high-angle normal faults that accommodated ∼2% strain at the scale of the ∼50-km-wide Salinian block (oriented perpendicular to the San Andreas fault). Shortening was accommodated by new reverse faults, reactivation of older normal faults, and strike-slip faulting that resulted in a map-view change in the width of the Salinian block. The overall magnitude of shortening was ∼10% strain, roughly 4–5 times greater than the amount of extension. The timing and magnitude of deformation in our study area are comparable to that documented in other Salinian block basins, and we suggest that the entire block deformed in a similar manner over a similar time span. The timing and relative magnitude of extension and shortening may be understood in the context of central Coast Range tectonic boundary conditions linked to rotation of the western Transverse Ranges at the south end of the Salinian block. Older models for Coast Range shortening based on balanced fault-bend fold-style cross sections are a poor approximation of Salinian block deformation, and may lead to mechanically improbable fault geometries that overestimate the amount of shortening.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lithosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/L208.1","usgsCitation":"Colgan, J.P., McPhee, D., McDougall, K., and Hourigan, J.K., 2013, Superimposed extension and shortening in the southern Salinas Basin and La Panza Range, California: A guide to Neogene deformation in the Salinian block of the central California Coast Ranges: Lithosphere, v. 4, no. 5, p. 29-48, https://doi.org/10.1130/L208.1.","startPage":"29","endPage":"48","ipdsId":"IP-038444","costCenters":[],"links":[{"id":473659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l208.1","text":"Publisher Index Page"},{"id":275282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275247,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/L208.1"},{"id":275248,"type":{"id":15,"text":"Index Page"},"url":"https://lithosphere.gsapubs.org/content/4/5/411.abstract"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.9867,34.3752 ], [ -121.9867,37.0815 ], [ -118.9874,37.0815 ], [ -118.9874,34.3752 ], [ -121.9867,34.3752 ] ] ] } } ] }","volume":"4","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d9e4b0b09fbe58f171","contributors":{"authors":[{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":481174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":481175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":481176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hourigan, Jeremy K.","contributorId":99023,"corporation":false,"usgs":true,"family":"Hourigan","given":"Jeremy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":481177,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047164,"text":"ofr20131127 - 2013 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2011","interactions":[],"lastModifiedDate":"2014-07-15T08:57:18","indexId":"ofr20131127","displayToPublicDate":"2013-07-23T11:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1127","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2011","docAbstract":"<p>Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2011 (October 1, 2010, to September 30, 2011), for tributaries to the Scituate Reservoir, Rhode Island. Streamflow and water-quality data used in the study were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB). Streamflow was measured or estimated by the USGS following standard methods at 23 streamgages; 14 of these streamgages were also equipped with instrumentation capable of continuously monitoring water level, specific conductance, and water temperature. Water-quality samples also were collected at 37 sampling stations by the PWSB and at 14 continuous-record streamgages by the USGS during WY 2011 as part of a long-term sampling program; all stations were in the Scituate Reservoir drainage area. Water-quality data collected by PWSB are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2011.</p>\n<br/>\n<p>The largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of about 37 cubic feet per second (ft<sup>3</sup>/s) to the reservoir during WY 2011. For the same time period, annual mean<sup>1</sup> streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.5 to about 21 ft<sup>3</sup>/s. Together, tributaries (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,600,000 kg (kilograms) of sodium and 2,600,000 kg of chloride to the Scituate Reservoir during WY 2011; sodium and chloride yields for the tributaries ranged from 9,800 to 53,000 kilograms per square mile (kg/mi<sup>2</sup>) and from 15,000 to 90,000 kg/mi<sup>2</sup>, respectively.</p>\n<br/>\n<p>At the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 20.0 milligrams per liter (mg/L), median nitrite concentration was 0.002 mg/L as nitrogen (N), median nitrate concentration was 0.01 mg/L as N, median orthophosphate concentration was 0.07 mg/L as phosphorus, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 33 and 23 colony forming units per 100 milliliters (CFU/100mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and E. coli bacteria were 230 kilograms per day (kg/d) (80 kilograms per day per square mile (kg/d/mi<sup>2</sup>)); 10 grams per day (g/d) (6.3 grams per day per square mile (g/d/mi<sup>2</sup>)); 110 g/d (29 g/d/mi<sup>2</sup>); 610 g/d (270 g/d/mi<sup>2</sup>); 4,600 million colony forming units per day (CFUx10<sup>6</sup>/d) (2,500 CFUx10<sup>6</sup>/d/mi<sup>2</sup>); and 1,800 CFUx10<sup>6</sup>/d (810 CFUx10<sup>6</sup>/d/mi<sup>2</sup>), respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131127","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Smith, K.P., 2013, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2011 (First posted July 23, 2013; Revised and reposted July 14, 2014, version 1.1): U.S. Geological Survey Open-File Report 2013-1127, vi, 32 p., https://doi.org/10.3133/ofr20131127.","productDescription":"vi, 32 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-09-30","temporalEnd":"2011-10-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":275281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131127.jpg"},{"id":275279,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1127/"},{"id":275280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1127/pdf/ofr2013-1127.pdf"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.0,41.5 ], [ -72.0,42.0 ], [ -71.5,42.0 ], [ -71.5,41.5 ], [ -72.0,41.5 ] ] ] } } ] }","edition":"First posted July 23, 2013; Revised and reposted July 14, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d9e4b0b09fbe58f16d","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047210,"text":"70047210 - 2013 - Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D","interactions":[],"lastModifiedDate":"2014-07-23T11:50:26","indexId":"70047210","displayToPublicDate":"2013-07-23T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D","docAbstract":"A numerical model was developed that is capable of simulating multispecies reactive solute transport in variably saturated porous media. This model consists of a modified version of the reactive transport model RT3D (Reactive Transport in 3 Dimensions) that is linked to the Unsaturated-Zone Flow (UZF1) package and MODFLOW. Referred to as UZF-RT3D, the model is tested against published analytical benchmarks as well as other published contaminant transport models, including HYDRUS-1D, VS2DT, and SUTRA, and the coupled flow and transport modeling system of CATHY and TRAN3D. Comparisons in one-dimensional, two-dimensional, and three-dimensional variably saturated systems are explored. While several test cases are included to verify the correct implementation of variably saturated transport in UZF-RT3D, other cases are included to demonstrate the usefulness of the code in terms of model run-time and handling the reaction kinetics of multiple interacting species in variably saturated subsurface systems. As UZF1 relies on a kinematic-wave approximation for unsaturated flow that neglects the diffusive terms in Richards equation, UZF-RT3D can be used for large-scale aquifer systems for which the UZF1 formulation is reasonable, that is, capillary-pressure gradients can be neglected and soil parameters can be treated as homogeneous. Decreased model run-time and the ability to include site-specific chemical species and chemical reactions make UZF-RT3D an attractive model for efficient simulation of multispecies reactive transport in variably saturated large-scale subsurface systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2012.01009.x","usgsCitation":"Bailey, R., Morway, E., Niswonger, R., and Gates, T., 2013, Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D: Ground Water, v. 51, no. 5, p. 752-761, https://doi.org/10.1111/j.1745-6584.2012.01009.x.","productDescription":"15 p.","startPage":"752","endPage":"761","numberOfPages":"10","ipdsId":"IP-041600","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":275435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275393,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.01009.x"}],"volume":"51","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"51f38c5be4b0a32220222f1b","contributors":{"authors":[{"text":"Bailey, Ryan T.","contributorId":105986,"corporation":false,"usgs":true,"family":"Bailey","given":"Ryan T.","affiliations":[],"preferred":false,"id":481403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D.","contributorId":72276,"corporation":false,"usgs":true,"family":"Morway","given":"Eric D.","affiliations":[],"preferred":false,"id":481401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":481400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gates, Timothy K.","contributorId":88246,"corporation":false,"usgs":true,"family":"Gates","given":"Timothy K.","affiliations":[],"preferred":false,"id":481402,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046834,"text":"70046834 - 2013 - Potentially induced earthquakes in Oklahoma, USA: links between wastewater injection and the 2011 M<sub>w</sub> 5.7 earthquake sequence","interactions":[],"lastModifiedDate":"2019-07-17T16:26:58","indexId":"70046834","displayToPublicDate":"2013-07-23T09:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Potentially induced earthquakes in Oklahoma, USA: links between wastewater injection and the 2011 M<sub>w</sub> 5.7 earthquake sequence","docAbstract":"Significant earthquakes are increasingly occurring within the continental interior of the United States, including five of moment magnitude (M<sub>w</sub>) ≥ 5.0 in 2011 alone. Concurrently, the volume of fluid injected into the subsurface related to the production of unconventional resources continues to rise. Here we identify the largest earthquake potentially related to injection, an M<sub>w</sub> 5.7 earthquake in November 2011 in Oklahoma. The earthquake was felt in at least 17 states and caused damage in the epicentral region. It occurred in a sequence, with 2 earthquakes of M<sub>w</sub> 5.0 and a prolific sequence of aftershocks. We use the aftershocks to illuminate the faults that ruptured in the sequence, and show that the tip of the initial rupture plane is within ~200 m of active injection wells and within ~1 km of the surface; 30% of early aftershocks occur within the sedimentary section. Subsurface data indicate that fluid was injected into effectively sealed compartments, and we interpret that a net fluid volume increase after 18 yr of injection lowered effective stress on reservoir-bounding faults. Significantly, this case indicates that decades-long lags between the commencement of fluid injection and the onset of induced earthquakes are possible, and modifies our common criteria for fluid-induced events. The progressive rupture of three fault planes in this sequence suggests that stress changes from the initial rupture triggered the successive earthquakes, including one larger than the first.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G34045.1","usgsCitation":"Keranen, K., Savage, H.M., Abers, G.A., and Cochran, E.S., 2013, Potentially induced earthquakes in Oklahoma, USA: links between wastewater injection and the 2011 M<sub>w</sub> 5.7 earthquake sequence: Geology, v. 41, no. 6, p. 699-702, https://doi.org/10.1130/G34045.1.","productDescription":"4 p.","startPage":"699","endPage":"702","ipdsId":"IP-039045","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":275269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274697,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G34045.1"}],"country":"United States","state":"Oklahoma","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.0,33.62 ], [ -103.0,37.0 ], [ -94.43,37.0 ], [ -94.43,33.62 ], [ -103.0,33.62 ] ] ] } } ] }","volume":"41","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d6e4b0b09fbe58f15d","contributors":{"authors":[{"text":"Keranen, Katie M.","contributorId":44064,"corporation":false,"usgs":true,"family":"Keranen","given":"Katie M.","affiliations":[],"preferred":false,"id":480414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, Heather M.","contributorId":65363,"corporation":false,"usgs":true,"family":"Savage","given":"Heather","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abers, Geoffrey A.","contributorId":90195,"corporation":false,"usgs":true,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":480413,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046061,"text":"70046061 - 2013 - Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","interactions":[],"lastModifiedDate":"2013-07-23T09:48:25","indexId":"70046061","displayToPublicDate":"2013-07-23T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","docAbstract":"An approach is presented in this study to aid water-resource managers in characterizing streamflow alteration at ungauged rivers. Such approaches can be used to take advantage of the substantial amounts of biological data collected at ungauged rivers to evaluate the potential ecological consequences of altered streamflows. National-scale random forest statistical models are developed to predict the likelihood that ungauged rivers have altered streamflows (relative to expected natural condition) for five hydrologic metrics (HMs) representing different aspects of the streamflow regime. The models use human disturbance variables, such as number of dams and road density, to predict the likelihood of streamflow alteration. For each HM, separate models are derived to predict the likelihood that the observed metric is greater than (‘inflated’) or less than (‘diminished’) natural conditions. The utility of these models is demonstrated by applying them to all river segments in the South Platte River in Colorado, USA, and for all 10-digit hydrologic units in the conterminous United States. In general, the models successfully predicted the likelihood of alteration to the five HMs at the national scale as well as in the South Platte River basin. However, the models predicting the likelihood of diminished HMs consistently outperformed models predicting inflated HMs, possibly because of fewer sites across the conterminous United States where HMs are inflated. The results of these analyses suggest that the primary predictors of altered streamflow regimes across the Nation are (i) the residence time of annual runoff held in storage in reservoirs, (ii) the degree of urbanization measured by road density and (iii) the extent of agricultural land cover in the river basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.2565","usgsCitation":"Eng, K., Carlisle, D.M., Wolock, D.M., and Falcone, J.A., 2013, Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States: River Research and Applications, v. 29, no. 6, p. 781-791, https://doi.org/10.1002/rra.2565.","productDescription":"10 p.","startPage":"781","endPage":"791","numberOfPages":"10","ipdsId":"IP-034661","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":275268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275267,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2565"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.14,25.89 ], [ -125.14,49.11 ], [ -66.95,49.11 ], [ -66.95,25.89 ], [ -125.14,25.89 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f161","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":478789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047160,"text":"70047160 - 2013 - Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory","interactions":[],"lastModifiedDate":"2013-07-23T09:22:27","indexId":"70047160","displayToPublicDate":"2013-07-23T09:17:55","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory","docAbstract":"In an effort to infer compositional information about distant targets based on multispectral imaging data, we investigated methods of relating Mars Exploration Rover (MER) Pancam multispectral remote sensing observations to in situ alpha particle X-ray spectrometer (APXS)-derived elemental abundances and Mössbauer (MB)-derived abundances of Fe-bearing phases at the MER field sites in Gusev crater and Meridiani Planum. The majority of the partial correlation coefficients between these data sets were not statistically significant. Restricting the targets to those that were abraded by the rock abrasion tool (RAT) led to improved Pearson’s correlations, most notably between the red–blue ratio (673 nm/434 nm) and Fe<sup>3+</sup>-bearing phases, but partial correlations were not statistically significant. Partial Least Squares (PLS) calculations relating Pancam 11-color visible to near-IR (VNIR; ∼400–1000 nm) “spectra” to APXS and Mössbauer element or mineral abundances showed generally poor performance, although the presence of compositional outliers led to improved PLS results for data from Meridiani. When the Meridiani PLS model for pyroxene was tested by predicting the pyroxene content of Gusev targets, the results were poor, indicating that the PLS models for Meridiani are not applicable to data from other sites. Soft Independent Modeling of Class Analogy (SIMCA) classification of Gusev crater data showed mixed results. Of the 24 Gusev test regions of interest (ROIs) with known classes, 11 had >30% of the pixels in the ROI classified correctly, while others were mis-classified or unclassified. k-Means clustering of APXS and Mössbauer data was used to assign Meridiani targets to compositional classes. The clustering-derived classes corresponded to meaningful geologic and/or color unit differences, and SIMCA classification using these classes was somewhat successful, with >30% of pixels correctly classified in 9 of the 11 ROIs with known classes.\n\nThis work shows that the relationship between SWIR multispectral imaging data and APXS- and Mössbauer-derived composition/mineralogy is often weak, a perhaps not entirely unexpected result given the different surface sampling depths of SWIR imaging (uppermost few microns) vs. APXS (tens of μm) and MB measurements (hundreds of μm). Results from the upcoming Mars Science Laboratory (MSL) rover’s ChemCam Laser Induced Breakdown Spectroscopy (LIBS) instrument may show a closer relationship to Mastcam SWIR multispectral observations, however, because the initial laser shots onto a target will analyze only the upper few micrometers of the surface. The clustering and classification methods used in this study can be applied to any data set to formalize the definition of classes and identify targets that do not fit in previously defined classes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2012.11.029","usgsCitation":"Anderson, R., and Bell, J.F., 2013, Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory: Icarus, v. 223, no. 1, p. 157-180, https://doi.org/10.1016/j.icarus.2012.11.029.","productDescription":"24 p.","startPage":"157","endPage":"180","ipdsId":"IP-036034","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":275266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275265,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2012.11.029"}],"otherGeospatial":"Mars","volume":"223","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d4e4b0b09fbe58f149","contributors":{"authors":[{"text":"Anderson, Ryan B.","contributorId":25438,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan B.","affiliations":[],"preferred":false,"id":481190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, James F. III","contributorId":12737,"corporation":false,"usgs":true,"family":"Bell","given":"James","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046880,"text":"70046880 - 2013 - Population genetics and evaluation of genetic evidence for subspecies in the Semipalmated Sandpiper (Calidris pusilla)","interactions":[],"lastModifiedDate":"2020-12-29T15:03:14.119164","indexId":"70046880","displayToPublicDate":"2013-07-23T08:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Population genetics and evaluation of genetic evidence for subspecies in the Semipalmated Sandpiper (Calidris pusilla)","docAbstract":"<p><span>Semipalmated Sandpipers (</span><i>Calidris pusilla</i><span>) are among the most common North American shorebirds. Breeding in Arctic North America, this species displays regional differences in migratory pathways and possesses longitudinal bill length variation. Previous investigations suggested that genetic structure may occur within Semipalmated Sandpipers and that three subspecies corresponding to western, central, and eastern breeding groups exist. In this study, mitochondrial control region sequences and nuclear microsatellite loci were used to analyze DNA of birds (microsatellites:&nbsp;</span><i>n</i><span>&nbsp;= 120; mtDNA:&nbsp;</span><i>n</i><span>&nbsp;= 114) sampled from seven North American locations. Analyses designed to quantify genetic structure and diversity patterns, evaluate genetic evidence for population size changes, and determine if genetic data support the existence of Semipalmated Sandpiper subspecies were performed. Genetic structure based only on the mtDNA data was observed, whereas the microsatellite loci provided no evidence of genetic differentiation. Differentiation among locations and regions reflected allele frequency differences rather than separate phylogenetic groups, and similar levels of genetic diversity were noted. Combined, the two data sets provided no evidence to support the existence of subspecies and were not useful for determining migratory connectivity between breeding sites and wintering grounds. Birds from western and central groups displayed signatures of population expansions, whereas the eastern group was more consistent with a stable overall population. Results of this analysis suggest that the eastern group was the source of individuals that colonized the central and western regions currently utilized by Semipalmated Sandpipers.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0206","usgsCitation":"Miller, M.P., Gratto-Trevor, C., Haig, S.M., Mizrahi, D.S., Mitchell, M.M., and Mullins, T., 2013, Population genetics and evaluation of genetic evidence for subspecies in the Semipalmated Sandpiper (Calidris pusilla): Waterbirds, v. 36, no. 2, p. 166-178, https://doi.org/10.1675/063.036.0206.","productDescription":"13 p.","startPage":"166","endPage":"178","ipdsId":"IP-042836","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.036.0206","text":"Publisher Index Page"},{"id":381723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.8,25.3 ], [ -178.8,83.2 ], [ -51.3,83.2 ], [ -51.3,25.3 ], [ -178.8,25.3 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ef97d6e4b0b09fbe58f159","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":480555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gratto-Trevor, Cheri","contributorId":58539,"corporation":false,"usgs":true,"family":"Gratto-Trevor","given":"Cheri","affiliations":[],"preferred":false,"id":480559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mizrahi, David S.","contributorId":11100,"corporation":false,"usgs":true,"family":"Mizrahi","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Melanie M.","contributorId":38045,"corporation":false,"usgs":true,"family":"Mitchell","given":"Melanie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":480557,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148008,"text":"70148008 - 2013 - Active adaptive management for reintroduction of an animal population","interactions":[],"lastModifiedDate":"2017-05-03T15:14:52","indexId":"70148008","displayToPublicDate":"2013-07-23T00:00:00","publicationYear":"2013","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":"Active adaptive management for reintroduction of an animal population","docAbstract":"<p><span>Captive animals are frequently reintroduced to the wild in the face of uncertainty, but that uncertainty can often be reduced over the course of the reintroduction effort, providing the opportunity for adaptive management. One common uncertainty in reintroductions is the short-term survival rate of released adults (a release cost), an important factor because it can affect whether releasing adults or juveniles is better. Information about this rate can improve the success of the reintroduction program, but does the expected gain offset the costs of obtaining the information? I explored this question for reintroduction of the griffon vulture (</span><i>Gyps fulvus</i><span>) by framing the management question as a belief Markov decision process, characterizing uncertainty about release cost with 2 information state variables, and finding the solution using stochastic dynamic programming. For a reintroduction program of fixed length (e.g., 5 years of releases), the optimal policy in the final release year resembles the deterministic solution: release either all adults or all juveniles depending on whether the point estimate for the survival rate in question is above or below a specific threshold. But the optimal policy in the earlier release years 1) includes release of a mixture of juveniles and adults under some circumstances, and 2) recommends release of adults even when the point estimate of survival is much less than the deterministic threshold. These results show that in an iterated decision setting, the optimal decision in early years can be quite different from that in later years because of the value of learning.&nbsp;</span></p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.571","usgsCitation":"Runge, M.C., 2013, Active adaptive management for reintroduction of an animal population: Journal of Wildlife Management, v. 77, no. 6, p. 1135-1144, https://doi.org/10.1002/jwmg.571.","productDescription":"10 p.","startPage":"1135","endPage":"1144","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061273","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":307521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-14","publicationStatus":"PW","scienceBaseUri":"5553242ae4b0a92fa7e94c78","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":546754,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043380,"text":"70043380 - 2013 - Plot- and landscape-level changes in climate and vegetation following defoliation of exotic saltcedar (Tamarix sp.) from the biocontrol agent Diorhabda carinulata along a stream in the Mojave Desert (USA)","interactions":[],"lastModifiedDate":"2019-12-10T12:14:15","indexId":"70043380","displayToPublicDate":"2013-07-22T16:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Plot- and landscape-level changes in climate and vegetation following defoliation of exotic saltcedar (Tamarix sp.) from the biocontrol agent Diorhabda carinulata along a stream in the Mojave Desert (USA)","docAbstract":"The biocontrol agent, northern tamarisk beetle (Diorhabda carinulata), has been used to defoliate non-native saltcedar (Tamarix spp.) in USA western riparian systems since 2001. Biocontrol has the potential to impact biotic communities and climatic conditions in affected riparian areas. To determine the relationships between biocontrol establishment and effects on vegetation and climate at the plot and landscape scales, we measured temperature, relative humidity, foliage canopy, solar radiation, and used satellite imagery to assess saltcedar defoliation and evapotranspiration (ET) along the Virgin River in the Mojave Desert. Following defoliation solar radiation increased, daily humidity decreased, and maximum daily temperatures tended to increase. MODIS and Landsat satellite imagery showed defoliation was widespread, resulting in reductions in ET and vegetation indices. Because biocontrol beetles are spreading into new saltcedar habitats on arid western rivers, and the eventual equilibrium between beetles and saltcedar is unknown, it is necessary to monitor trends for ecosystem functions and higher trophic-level responses in habitats impacted by biocontrol.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2012.09.011","usgsCitation":"Bateman, H., Nagler, P.L., and Glenn, E.P., 2013, Plot- and landscape-level changes in climate and vegetation following defoliation of exotic saltcedar (Tamarix sp.) from the biocontrol agent Diorhabda carinulata along a stream in the Mojave Desert (USA): Journal of Arid Environments, v. 89, p. 16-20, https://doi.org/10.1016/j.jaridenv.2012.09.011.","productDescription":"5 p.","startPage":"16","endPage":"20","ipdsId":"IP-034241","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":275255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.49902343749999,\n              34.116352469972746\n            ],\n            [\n              -113.90625,\n              34.116352469972746\n            ],\n            [\n              -113.90625,\n              36.4566360115962\n            ],\n            [\n              -116.49902343749999,\n              36.4566360115962\n            ],\n            [\n              -116.49902343749999,\n              34.116352469972746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee465ae4b00ffbed48f869","contributors":{"authors":[{"text":"Bateman, H.L.","contributorId":36036,"corporation":false,"usgs":true,"family":"Bateman","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":473502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":777038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":473500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047143,"text":"ofr20131146 - 2013 - Geochronologic and geochemical data from Mesozoic rocks in the Black Mountain area northeast of Victorville, San Bernardino County, California","interactions":[],"lastModifiedDate":"2023-06-05T15:09:34.640808","indexId":"ofr20131146","displayToPublicDate":"2013-07-22T15:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1146","title":"Geochronologic and geochemical data from Mesozoic rocks in the Black Mountain area northeast of Victorville, San Bernardino County, California","docAbstract":"We present geochronologic and geochemical data for Mesozoic rocks in the Black Mountain area northeast of Victorville, California, to supplement previous geologic mapping. These data, together with previously published results, limit the depositional age of the sedimentary Fairview Valley Formation to Early Jurassic, refine the ages and chemical compositions of selected units in the overlying Jurassic Sidewinder Volcanics and of related intrusive units, and limit the age of some post-Sidewinder faulting in the Black Mountain area to a brief interval in the Late Jurassic. The new information contributes to a more complete understanding of the Mesozoic magmatic and tectonic evolution of the western Mojave Desert and surrounding regions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131146","usgsCitation":"Stone, P., Barth, A.P., Wooden, J., Fohey-Breting, N.K., Vazquez, J.A., and Priest, S.S., 2013, Geochronologic and geochemical data from Mesozoic rocks in the Black Mountain area northeast of Victorville, San Bernardino County, California: U.S. Geological Survey Open-File Report 2013-1146, iv, 31 p., https://doi.org/10.3133/ofr20131146.","productDescription":"iv, 31 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":275252,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131146.gif"},{"id":275250,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1146/","linkFileType":{"id":5,"text":"html"}},{"id":275251,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1146/of2013-1146.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"San Bernardino","otherGeospatial":"Black Mountain Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5823,34.07 ], [ -117.5823,34.98 ], [ -117.347,34.98 ], [ -117.347,34.07 ], [ -117.5823,34.07 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4655e4b00ffbed48f849","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Andrew P.","contributorId":94547,"corporation":false,"usgs":true,"family":"Barth","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":481160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":481159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fohey-Breting, Nicole K.","contributorId":102363,"corporation":false,"usgs":true,"family":"Fohey-Breting","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":481161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":481157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":481158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046978,"text":"70046978 - 2013 - Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma","interactions":[],"lastModifiedDate":"2020-10-15T16:06:09.072336","indexId":"70046978","displayToPublicDate":"2013-07-22T15:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma","docAbstract":"<p class=\"abstractnoin\">West Edmond field, located in central Oklahoma, is one of the largest oil accumulations in the Silurian–Devonian Hunton Group in this part of the Anadarko Basin. Production from all stratigraphic units in the field exceeds 170 million barrels of oil (MMBO) and 400 billion cubic feet of gas (BCFG), of which approximately 60 MMBO and 100 BCFG have been produced from the Hunton Group. Oil and gas are stratigraphically trapped to the east against the Nemaha uplift, to the north by a regional wedge-out of Hunton strata, and by intraformational diagenetic traps. Hunton Group reservoirs are the Bois d'Arc and Frisco Limestones, with lesser production from the Chimneyhill subgroup, Haragan Shale, and Henryhouse Formation.</p><p>Hunton Group cores from three wells that were examined petrographically indicate that complex diagenetic relations influence permeability and reservoir quality. Greatest porosity and permeability are associated with secondary dissolution in packstones and grainstones, forming hydrocarbon reservoirs. The overlying Devonian–Mississippian Woodford Shale is the major petroleum source rock for the Hunton Group in the field, based on one-dimensional and four-dimensional petroleum system models that were calibrated to well temperature and Woodford Shale vitrinite reflectance data. The source rock is marginally mature to mature for oil generation in the area of the West Edmond field, and migration of Woodford oil and gas from deeper parts of the basin also contributed to hydrocarbon accumulation.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/12031212075","usgsCitation":"Gaswirth, S., and Higley, D.K., 2013, Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma: American Association of Petroleum Geologists Bulletin, v. 97, no. 7, p. 1163-1179, https://doi.org/10.1306/12031212075.","productDescription":"17 p.","startPage":"1163","endPage":"1179","ipdsId":"IP-033936","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":275244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"West Edmond Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.0025,33.6158 ], [ -103.0025,37.0023 ], [ -94.4307,37.0023 ], [ -94.4307,33.6158 ], [ -103.0025,33.6158 ] ] ] } } ] }","volume":"97","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4659e4b00ffbed48f85d","contributors":{"authors":[{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":3109,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":480787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043593,"text":"70043593 - 2013 - Physiological and endocrine changes in Atlantic salmon smolts during hatchery rearing, downstream migration and ocean entry","interactions":[],"lastModifiedDate":"2013-07-22T15:16:10","indexId":"70043593","displayToPublicDate":"2013-07-22T15:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Physiological and endocrine changes in Atlantic salmon smolts during hatchery rearing, downstream migration and ocean entry","docAbstract":"Billions of hatchery salmon smolts are released annually in an attempt to mitigate anthropogenic impacts on freshwater habitats, often with limited success. Mortality of wild and hatchery fish is high during downstream and early ocean migration. To understand changes that occur during migration, we examined physiological and endocrine changes in Atlantic salmon (Salmo salar) smolts during hatchery rearing, downstream migration, and early ocean entry in two successive years. Gill Na<sup>+</sup>/K<sup>+</sup>-ATPase activity increased in the hatchery during spring, increased further after river release, and was slightly lower after recapture in the ocean. Plasma growth hormone levels increased in the hatchery, were higher in the river, and increased further in the ocean. Plasma IGF-I remained relatively constant in the hatchery, increased in the river, then decreased in the ocean. Plasma thyroid hormones were variable in the hatchery, but increased in both river- and ocean-captured smolts. Naturally reared fish had lower condition factor, gill NKA activity, and plasma thyroxine than hatchery fish in the river but were similar in the ocean. This novel data set provides a vital first step in understanding the role and norms of endocrine function in smolts and the metrics of successful marine entry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2012-0151","usgsCitation":"McCormick, S., Sheehan, T., Björnsson, B., Lipsky, C., Kocik, J.F., Regish, A.M., and O’Dea, M.F., 2013, Physiological and endocrine changes in Atlantic salmon smolts during hatchery rearing, downstream migration and ocean entry: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 1, p. 105-118, https://doi.org/10.1139/cjfas-2012-0151.","productDescription":"14 p.","startPage":"105","endPage":"118","ipdsId":"IP-037324","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":275241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2012-0151"}],"country":"United States","state":"Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.977661,43.866218 ], [ -68.977661,44.592423 ], [ -67.997131,44.592423 ], [ -67.997131,43.866218 ], [ -68.977661,43.866218 ] ] ] } } ] }","volume":"70","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4659e4b00ffbed48f861","contributors":{"authors":[{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":2197,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheehan, Timothy F.","contributorId":107168,"corporation":false,"usgs":true,"family":"Sheehan","given":"Timothy F.","affiliations":[],"preferred":false,"id":473928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Björnsson, Björn Thrandur","contributorId":58887,"corporation":false,"usgs":true,"family":"Björnsson","given":"Björn Thrandur","affiliations":[],"preferred":false,"id":473926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lipsky, Christine","contributorId":19061,"corporation":false,"usgs":true,"family":"Lipsky","given":"Christine","email":"","affiliations":[],"preferred":false,"id":473925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocik, John F.","contributorId":103162,"corporation":false,"usgs":true,"family":"Kocik","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":473927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473923,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Dea, Michael F. modea@usgs.gov","contributorId":5417,"corporation":false,"usgs":true,"family":"O’Dea","given":"Michael","email":"modea@usgs.gov","middleInitial":"F.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473924,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046878,"text":"70046878 - 2013 - Seismic evidence for a slab tear at the Puerto Rico Trench","interactions":[],"lastModifiedDate":"2017-11-18T09:58:56","indexId":"70046878","displayToPublicDate":"2013-07-22T14:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismic evidence for a slab tear at the Puerto Rico Trench","docAbstract":"The fore-arc region of the northeast Caribbean plate north of Puerto Rico and the Virgin Islands has been the site of numerous seismic swarms since at least 1976. A 6 month deployment of five ocean bottom seismographs recorded two such tightly clustered swarms, along with additional events. Joint analyses of the ocean bottom seismographs and land-based seismic data reveal that the swarms are located at depths of 50–150 km. Focal mechanism solutions, found by jointly fitting P wave first-motion polarities and S/P amplitude ratios, indicate that the broadly distributed events outside the swarm generally have strike- and dip-slip mechanisms at depths of 50–100 km, while events at depths of 100–150 km have oblique mechanisms. A stress inversion reveals two distinct stress regimes: The slab segment east of 65°W longitude is dominated by trench-normal tensile stresses at shallower depths (50–100 km) and by trench-parallel tensile stresses at deeper depths (100–150 km), whereas the slab segment west of 65°W longitude has tensile stresses that are consistently trench normal throughout the depth range at which events were observed (50–100 km). The simple stress pattern in the western segment implies relatively straightforward subduction of an unimpeded slab, while the stress pattern observed in the eastern segment, shallow trench-normal tension and deeper trench-normal compression, is consistent with flexure of the slab due to rollback. These results support the hypothesis that the subducting North American plate is tearing at or near these swarms. The 35 year record of seismic swarms at this location and the recent increase in seismicity suggest that the tear is still propagating.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrb.50227","usgsCitation":"Meighan, H.E., Pulliam, J., ten Brink, U., and Lopez-Venegas, A.M., 2013, Seismic evidence for a slab tear at the Puerto Rico Trench: Journal of Geophysical Research B: Solid Earth, v. 118, no. 6, p. 2915-2923, https://doi.org/10.1002/jgrb.50227.","productDescription":"9 p.","startPage":"2915","endPage":"2923","ipdsId":"IP-045238","costCenters":[],"links":[{"id":473661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50227","text":"Publisher Index Page"},{"id":275238,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50227"},{"id":275239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9988,17.376 ], [ -67.9988,20.0042 ], [ -64.1962,20.0042 ], [ -64.1962,17.376 ], [ -67.9988,17.376 ] ] ] } } ] }","volume":"118","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-14","publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f87d","contributors":{"authors":[{"text":"Meighan, Hallie E.","contributorId":76208,"corporation":false,"usgs":true,"family":"Meighan","given":"Hallie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":480547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pulliam, Jay","contributorId":105621,"corporation":false,"usgs":true,"family":"Pulliam","given":"Jay","email":"","affiliations":[],"preferred":false,"id":480549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":480548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez-Venegas, Alberto M.","contributorId":32803,"corporation":false,"usgs":true,"family":"Lopez-Venegas","given":"Alberto","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047141,"text":"ds775 - 2013 - High-water marks from tropical storm Irene for selected river reaches in northwestern Massachusetts, August 2011","interactions":[],"lastModifiedDate":"2013-07-22T14:32:20","indexId":"ds775","displayToPublicDate":"2013-07-22T14:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"775","title":"High-water marks from tropical storm Irene for selected river reaches in northwestern Massachusetts, August 2011","docAbstract":"A Presidential Disaster Declaration was issued for Massachusetts, with a focus on the northwestern counties, following flooding from tropical storm Irene on August 28–29, 2011. Three to 10 inches of rain fell during the storm on soils that were susceptible to flash flooding because of wet antecedent conditions. The gage height at one U.S. Geological Survey (USGS) streamgage rose nearly 20 feet in less than 4 hours because of the combination of saturated soils and intense rainfall. Eight of 16 USGS long-term streamgages in western Massachusetts set new peaks of record on August 28 or 29, 2011. To document the historic water levels of the streamflows from tropical storm Irene, the USGS identified, flagged, and surveyed 323 high-water marks in the Deerfield and Hudson- Hoosic River basins in northwestern Massachusetts. Areas targeted for high-water marks were generally upstream and downstream from structures along selected river reaches. Elevations from high-water marks can be used to confirm peak river stages or help compute peak streamflows, to calibrate hydraulic models, or to update flood-inundation and recovery maps. For areas in western Massachusetts that flooded as a result of tropical storm Irene, high-water marks surveyed for this study have helped to confirm or determine instantaneous peak river gage heights at several USGS streamgages.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds775","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Bent, G.C., Medalie, L., and Nielsen, M.G., 2013, High-water marks from tropical storm Irene for selected river reaches in northwestern Massachusetts, August 2011: U.S. Geological Survey Data Series 775, Report: iv, 13 p.; Appendix 1: XLS file; Appendix 2: KMZ file, https://doi.org/10.3133/ds775.","productDescription":"Report: iv, 13 p.; Appendix 1: XLS file; Appendix 2: KMZ file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":275237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds775.jpg"},{"id":275234,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/775/"},{"id":275235,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/775/appendix/USGS_Data_Series_775_Appendix_1.xlsx"},{"id":275236,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/775/appendix/USGS_Data_Series_775_Appendix_2_HWMs.kmz"},{"id":275233,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/775/pdf/ds775_report_508.pdf"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.493042,42.012571 ], [ -73.493042,42.710696 ], [ -72.463074,42.710696 ], [ -72.463074,42.012571 ], [ -73.493042,42.012571 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4655e4b00ffbed48f84d","contributors":{"authors":[{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481155,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045421,"text":"70045421 - 2013 - Plasticity of parental care under the risk of predation: how much should parents reduce care?","interactions":[],"lastModifiedDate":"2013-07-22T13:59:42","indexId":"70045421","displayToPublicDate":"2013-07-22T13:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Plasticity of parental care under the risk of predation: how much should parents reduce care?","docAbstract":"Predation can be an important agent of natural selection shaping parental care behaviours, and can also favour behavioural plasticity. Parent birds often decrease the rate that they visit the nest to provision offspring when perceived risk is high. Yet, the plasticity of such responses may differ among species as a function of either their relative risk of predation, or the mean rate of provisioning. Here, we report parental provisioning responses to experimental increases in the perceived risk of predation. We tested responses of 10 species of bird in north temperate Arizona and subtropical Argentina that differed in their ambient risk of predation. All species decreased provisioning rates in response to the nest predator but not to a control. However, provisioning rates decreased more in species that had greater ambient risk of predation on natural nests. These results support theoretical predictions that the extent of plasticity of a trait that is sensitive to nest predation risk should vary among species in accordance with predation risk.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biology Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society","doi":"10.1098/rsbl.2013.0154","usgsCitation":"Martin, T.E., 2013, Plasticity of parental care under the risk of predation: how much should parents reduce care?: Biology Letters, v. 9, no. 4, 4 p., https://doi.org/10.1098/rsbl.2013.0154.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-040825","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2013.0154","text":"Publisher Index Page"},{"id":275231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275230,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rsbl.2013.0154"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-23","publicationStatus":"PW","scienceBaseUri":"51ee465ae4b00ffbed48f865","contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":477477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046965,"text":"70046965 - 2013 - Relating Yellow Rail (Coturnicops noveboracensis) occupancy to habitat and landscape features in the context of fire","interactions":[],"lastModifiedDate":"2017-09-08T09:12:23","indexId":"70046965","displayToPublicDate":"2013-07-22T13:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Relating Yellow Rail (Coturnicops noveboracensis) occupancy to habitat and landscape features in the context of fire","docAbstract":"The Yellow Rail (Coturnicops noveboracensis) is a focal species of concern associated with shallowly flooded emergent wetlands, most commonly sedge (Carex spp.) meadows. Their populations are believed to be limited by loss or degradation of wetland habitat due to drainage, altered hydrology, and fire suppression, factors that have often resulted in encroachment of shrubs into sedge meadows and change in vegetative cover. Nocturnal call-playback surveys for Yellow Rails were conducted over 3 years at Seney National Wildlife Refuge in the Upper Peninsula of Michigan. Effects of habitat structure and landscape variables on the probability of use by Yellow Rails were assessed at two scales, representing a range of home range sizes, using generalized linear mixed models. At the 163-m (8-ha) scale, year with quadratic models of maximum and mean water depths best explained the data. At the 300-m (28-ha) scale, the best model contained year and time since last fire (≤ 1, 2–5, and > 10 years). The probability of use by Yellow Rails was 0.285 &plusmn; 0.132 (SE) for points burned 2-5 years ago, 0.253 &plusmn; 0.097 for points burned ≤ 1 year ago, and 0.028 &plusmn; 0.019 for points burned > 10 years ago. Habitat differences relative to fire history and comparisons between sites with and without Yellow Rails indicated that Yellow Rails used areas with the deepest litter and highest ground cover, and relatively low shrub cover and heights, as well as landscapes having greater sedge-grass cover and less lowland woody or upland cover types. Burning every 2-5 years appears to provide the litter, ground-level cover, and woody conditions attractive to Yellow Rails. Managers seeking to restore and sustain these wetland systems would benefit from further investigations into how flooding and fire create habitat conditions attractive to breeding Yellow Rails","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0209","usgsCitation":"Austin, J., and Buhl, D., 2013, Relating Yellow Rail (Coturnicops noveboracensis) occupancy to habitat and landscape features in the context of fire: Waterbirds, v. 36, no. 2, p. 199-213, https://doi.org/10.1675/063.036.0209.","productDescription":"15 p.","startPage":"199","endPage":"213","ipdsId":"IP-039078","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.036.0209","text":"Publisher Index Page"},{"id":275190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274839,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/pdf/10.1675/063.036.0209"},{"id":275184,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.036.0209"}],"country":"United States","state":"Michigan","otherGeospatial":"Seney National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.27,46.16 ], [ -86.27,46.77 ], [ -84.95,46.77 ], [ -84.95,46.16 ], [ -86.27,46.16 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f875","contributors":{"authors":[{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":480725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":480724,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046801,"text":"70046801 - 2013 - Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska","interactions":[],"lastModifiedDate":"2017-11-22T10:19:51","indexId":"70046801","displayToPublicDate":"2013-07-22T13:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska","docAbstract":"The Arctic Coastal Plain (ACP) of Alaska is an important region for millions of migrating and nesting shorebirds.  However, this region is threatened by climate change and increased human development (e.g., oil and gas production) that have the potential to greatly impact shorebird populations and breeding habitat in the near future.  Because historic data on shorebird distributions in the ACP are very coarse and incomplete, we sought to develop detailed, contemporary distribution maps so that the potential impacts of climate-mediated changes and development could be ascertained.  To do this, we developed and mapped habitat suitability indices for eight species of shorebirds (Black-bellied Plover [Pluvialis squatarola], American Golden-Plover [Pluvialis dominica], Semipalmated Sandpiper [Calidris pusilla], Pectoral Sandpiper [Calidris melanotos], Dunlin [Calidris alpina], Long-billed Dowitcher [Limnodromus scolopaceus], Red-necked Phalarope [Phalaropus lobatus], and Red Phalarope [Phalaropus fulicarius]) that commonly breed within the ACP of Alaska.  These habitat suitability models were based on 767 plots surveyed during nine years between 1998 and 2008 (surveys were not conducted in 2003 and 2005), using single-visit rapid area searches during territory establishment and incubation (8 June, 1 July).  Species specific habitat suitability indices were developed and mapped using presence-only modeling techniques (partitioned Mahalanobis distance) and landscape environmental variables.  For most species, habitat suitability was greater at lower elevations (i.e., near the coast and river deltas) and lower within upland habitats.  Accuracy of models was high for all species, ranging from 65 -98%.  Our models predicted that the largest fraction of suitable habitat for the majority of species occurred within the National Petroleum Reserve-Alaska, with highly suitable habitat also occurring within coastal areas of the Arctic National Wildlife Refuge west to Prudhoe Bay.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES12-00292.1","usgsCitation":"Saalfeld, S., Lanctot, R.B., Brown, S.C., Saalfeld, D.T., Johnson, J., Andres, B.A., and Bart, J.R., 2013, Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska: Ecosphere, v. 4, no. 1, 17 p., https://doi.org/10.1890/ES12-00292.1.","productDescription":"17 p.","numberOfPages":"17","ipdsId":"IP-043081","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es12-00292.1","text":"Publisher Index Page"},{"id":275229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274693,"type":{"id":15,"text":"Index Page"},"url":"https://www.esajournals.org/doi/pdf/10.1890/ES12-00292.1"},{"id":275228,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES12-00292.1"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160.29,69.08 ], [ -160.29,71.41 ], [ -142.34,71.41 ], [ -142.34,69.08 ], [ -160.29,69.08 ] ] ] } } ] }","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"51ee465ae4b00ffbed48f86d","contributors":{"authors":[{"text":"Saalfeld, Sarah T.","contributorId":41721,"corporation":false,"usgs":true,"family":"Saalfeld","given":"Sarah T.","affiliations":[],"preferred":false,"id":480298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanctot, Richard B.","contributorId":31894,"corporation":false,"usgs":true,"family":"Lanctot","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false},{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true},{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":480296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Stephen C.","contributorId":38457,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":480297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saalfeld, David T.","contributorId":49685,"corporation":false,"usgs":true,"family":"Saalfeld","given":"David","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":480299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":480302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andres, Brad A.","contributorId":68811,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bart, Jonathan R.","contributorId":74273,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480301,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045973,"text":"70045973 - 2013 - Predicting locations of rare aquatic species’ habitat with a combination of species-specific and assemblage-based models","interactions":[],"lastModifiedDate":"2013-07-22T11:47:36","indexId":"70045973","displayToPublicDate":"2013-07-22T11:34:00","publicationYear":"2013","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":"Predicting locations of rare aquatic species’ habitat with a combination of species-specific and assemblage-based models","docAbstract":"Aim: Rare aquatic species are a substantial component of biodiversity, and their conservation is a major objective of many management plans. However, they are difficult to assess, and their optimal habitats are often poorly known. Methods to effectively predict the likely locations of suitable rare aquatic species habitats are needed. We combine two modelling approaches to predict occurrence and general abundance of several rare fish species. Location: Allegheny watershed of western New York State (USA) Methods: Our method used two empirical neural network modelling approaches (species specific and assemblage based) to predict stream-by-stream occurrence and general abundance of rare darters, based on broad-scale habitat conditions. Species-specific models were developed for longhead darter (Percina macrocephala), spotted darter (Etheostoma maculatum) and variegate darter (Etheostoma variatum) in the Allegheny drainage. An additional model predicted the type of rare darter-containing assemblage expected in each stream reach. Predictions from both models were then combined inclusively and exclusively and compared with additional independent data. Results Example rare darter predictions demonstrate the method's effectiveness. Models performed well (R2 ≥ 0.79), identified where suitable darter habitat was most likely to occur, and predictions matched well to those of collection sites. Additional independent data showed that the most conservative (exclusive) model slightly underestimated the distributions of these rare darters or predictions were displaced by one stream reach, suggesting that new darter habitat types were detected in the later collections. Main conclusions Broad-scale habitat variables can be used to effectively identify rare species' habitats. Combining species-specific and assemblage-based models enhances our ability to make use of the sparse data on rare species and to identify habitat units most likely and least likely to support those species. This hybrid approach may assist managers with the prioritization of habitats to be examined or conserved for rare species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/ddi.12059","usgsCitation":"McKenna, J., Carlson, D.M., and Payne-Wynne, M.L., 2013, Predicting locations of rare aquatic species’ habitat with a combination of species-specific and assemblage-based models: Diversity and Distributions, v. 19, no. 5-6, p. 503-517, https://doi.org/10.1111/ddi.12059.","productDescription":"15 p.","startPage":"503","endPage":"517","numberOfPages":"15","ipdsId":"IP-039413","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12059","text":"Publisher Index Page"},{"id":275216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275215,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ddi.12059"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.881592,41.459195 ], [ -79.881592,42.228517 ], [ -78.222656,42.228517 ], [ -78.222656,41.459195 ], [ -79.881592,41.459195 ] ] ] } } ] }","volume":"19","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2013-05-06","publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f871","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":478619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Douglas M.","contributorId":91001,"corporation":false,"usgs":false,"family":"Carlson","given":"Douglas","email":"","middleInitial":"M.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":478621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Payne-Wynne, Molly L.","contributorId":33604,"corporation":false,"usgs":true,"family":"Payne-Wynne","given":"Molly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046456,"text":"70046456 - 2013 - Partitioning of selected trace elements in coal combustion products from two coal-burning power plants in the United States","interactions":[],"lastModifiedDate":"2013-07-22T11:33:01","indexId":"70046456","displayToPublicDate":"2013-07-22T11:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Partitioning of selected trace elements in coal combustion products from two coal-burning power plants in the United States","docAbstract":"Samples of feed coal (FC), bottom ash (BA), economizer fly ash (EFA), and fly ash (FA) were collected from power plants in the Central Appalachian basin and Colorado Plateau to determine the partitioning of As, Cr, Hg, Pb, and Se in coal combustion products (CCPs). The Appalachian plant burns a high-sulfur (about 3.9 wt.%) bituminous coal from the Upper Pennsylvanian Pittsburgh coal bed and operates with electrostatic precipitators (ESPs), with flue gas temperatures of about 163 °C in the ESPs. At this plant, As, Pb, Hg, and Se have the greatest median concentrations in FA samples, compared to BA and EFA. A mass balance (not including the FGD process) suggests that the following percentages of trace elements are captured in FA: As (48%), Cr (58%), Pb (54%), Se (20%), and Hg (2%). The relatively high temperatures of the flue gas in the ESPs and low amounts of unburned C in FA (0.5% loss-on-ignition for FA) may have led to the low amount of Hg captured in FA.\n\nThe Colorado Plateau plant burns a blend of three low-S (about 0.74 wt.%) bituminous coals from the Upper Cretaceous Fruitland Formation and operates with fabric filters (FFs). Flue gas temperatures in the baghouses are about 104 °C. The elements As, Cr, Pb, Hg, and Se have the greatest median concentrations in the fine-grained fly ash product (FAP) produced by cyclone separators, compared to the other CCPs at this plant. The median concentration of Hg in FA (0.0983 ppm) at the Colorado Plateau plant is significantly higher than that for the Appalachian plant (0.0315 ppm); this higher concentration is related to the efficiency of FFs in Hg capture, the relatively low temperatures of flue gas in the baghouses (particularly in downstream compartments), and the amount of unburned C in FA (0.29% loss-on-ignition for FA).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2012.08.010","usgsCitation":"Swanson, S.M., Engle, M.A., Ruppert, L.F., Affolter, R.H., and Jones, K.B., 2013, Partitioning of selected trace elements in coal combustion products from two coal-burning power plants in the United States: International Journal of Coal Geology, v. 113, p. 116-126, https://doi.org/10.1016/j.coal.2012.08.010.","productDescription":"11 p.","startPage":"116","endPage":"126","ipdsId":"IP-036330","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":275212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275211,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2012.08.010"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4659e4b00ffbed48f859","chorus":{"doi":"10.1016/j.coal.2012.08.010","url":"http://dx.doi.org/10.1016/j.coal.2012.08.010","publisher":"Elsevier BV","authors":"Swanson Sharon M., Engle Mark A., Ruppert Leslie F., Affolter Ronald H., Jones Kevin B.","journalName":"International Journal of Coal Geology","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Affolter, Ronald H. affolter@usgs.gov","contributorId":659,"corporation":false,"usgs":true,"family":"Affolter","given":"Ronald","email":"affolter@usgs.gov","middleInitial":"H.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":479672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Kevin B. 0000-0002-6386-2623 kevinjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-2623","contributorId":565,"corporation":false,"usgs":true,"family":"Jones","given":"Kevin","email":"kevinjones@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479669,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047133,"text":"70047133 - 2013 - Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern Minnesota","interactions":[],"lastModifiedDate":"2013-07-22T11:19:03","indexId":"70047133","displayToPublicDate":"2013-07-22T11:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern Minnesota","docAbstract":"Wetland mapping at the landscape scale using remotely sensed data requires both affordable data and an efficient accurate classification method. Random forest classification offers several advantages over traditional land cover classification techniques, including a bootstrapping technique to generate robust estimations of outliers in the training data, as well as the capability of measuring classification confidence. Though the random forest classifier can generate complex decision trees with a multitude of input data and still not run a high risk of over fitting, there is a great need to reduce computational and operational costs by including only key input data sets without sacrificing a significant level of accuracy. Our main questions for this study site in Northern Minnesota were: (1) how does classification accuracy and confidence of mapping wetlands compare using different remote sensing platforms and sets of input data; (2) what are the key input variables for accurate differentiation of upland, water, and wetlands, including wetland type; and (3) which datasets and seasonal imagery yield the best accuracy for wetland classification. Our results show the key input variables include terrain (elevation and curvature) and soils descriptors (hydric), along with an assortment of remotely sensed data collected in the spring (satellite visible, near infrared, and thermal bands; satellite normalized vegetation index and Tasseled Cap greenness and wetness; and horizontal-horizontal (HH) and horizontal-vertical (HV) polarization using L-band satellite radar). We undertook this exploratory analysis to inform decisions by natural resource managers charged with monitoring wetland ecosystems and to aid in designing a system for consistent operational mapping of wetlands across landscapes similar to those found in Northern Minnesota.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","doi":"10.3390/rs5073212","usgsCitation":"Corcoran, J.M., Knight, J.F., and Gallant, A.L., 2013, Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern Minnesota: Remote Sensing, v. 5, no. 7, p. 3212-3238, https://doi.org/10.3390/rs5073212.","productDescription":"27 p.","startPage":"3212","endPage":"3238","ipdsId":"IP-042123","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs5073212","text":"Publisher Index Page"},{"id":275209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275208,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs5073212"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"5","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-04","publicationStatus":"PW","scienceBaseUri":"51ee4655e4b00ffbed48f851","contributors":{"authors":[{"text":"Corcoran, Jennifer M.","contributorId":66575,"corporation":false,"usgs":true,"family":"Corcoran","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Joseph F.","contributorId":55311,"corporation":false,"usgs":true,"family":"Knight","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":481150,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047131,"text":"ds773 - 2013 - Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999","interactions":[],"lastModifiedDate":"2013-07-22T10:29:03","indexId":"ds773","displayToPublicDate":"2013-07-22T10:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"773","title":"Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999","docAbstract":"In July (19 - 26) and November (17 - 18) of 1999, the USGS, in cooperation with the Florida Geological Survey (FGS), conducted two geophysical surveys in: (1) the Atlantic Ocean offshore of Florida's east coast from Orchid to Jupiter, FL, and (2) the Gulf of Mexico offshore of Venice, FL. This report serves as an archive of unprocessed digital boomer subbottom data, trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (showing a relative increase in signal amplitude) digital images of the subbottom profiles are also provided.\n\nThe USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, identifiers 99FGS01 and 99FGS02 refer to field data collected in 1999 for cooperative work with the FGS. The numbers 01 and 02 indicate the data were collected during the first and second field activities for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity identification (ID).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds773","usgsCitation":"Forde, A.S., Dadisman, S.V., Wiese, D.S., and Phelps, D.C., 2013, Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999: U.S. Geological Survey Data Series 773, HTML Document; 1 DVD, https://doi.org/10.3133/ds773.","productDescription":"HTML Document; 1 DVD","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1999-07-01","temporalEnd":"1999-11-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds773.PNG"},{"id":275202,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/773/"},{"id":275203,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/773/title.html"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,26.166667 ], [ -83.0,28.5 ], [ -79.833333,28.5 ], [ -79.833333,26.166667 ], [ -83.0,26.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee464ee4b00ffbed48f841","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":481144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelps, Daniel C.","contributorId":88194,"corporation":false,"usgs":true,"family":"Phelps","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481146,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}