{"pageNumber":"158","pageRowStart":"3925","pageSize":"25","recordCount":10951,"records":[{"id":70042845,"text":"70042845 - 2013 - Hydrogeomorphology influences soil nitrogen and phosphorus mineralization in floodplain wetlands","interactions":[],"lastModifiedDate":"2013-01-25T14:01:30","indexId":"70042845","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphology influences soil nitrogen and phosphorus mineralization in floodplain wetlands","docAbstract":"Conceptual models of river–floodplain systems and biogeochemical theory predict that floodplain soil nitrogen (N) and phosphorus (P) mineralization should increase with hydrologic connectivity to the river and thus increase with distance downstream (longitudinal dimension) and in lower geomorphic units within the floodplain (lateral dimension). We measured rates of in situ soil net ammonification, nitrification, N, and P mineralization using monthly incubations of modified resin cores for a year in the forested floodplain wetlands of Difficult Run, a fifth order urban Piedmont river in Virginia, USA. Mineralization rates were then related to potentially controlling ecosystem attributes associated with hydrologic connectivity, soil characteristics, and vegetative inputs. Ammonification and P mineralization were greatest in the wet backswamps, nitrification was greatest in the dry levees, and net N mineralization was greatest in the intermediately wet toe-slopes. Nitrification also was greater in the headwater sites than downstream sites, whereas ammonification was greater in downstream sites. Annual net N mineralization increased with spatial gradients of greater ammonium loading to the soil surface associated with flooding, soil organic and nutrient content, and herbaceous nutrient inputs. Annual net P mineralization was associated negatively with soil pH and coarser soil texture, and positively with ammonium and phosphate loading to the soil surface associated with flooding. Within an intensively sampled low elevation flowpath at one site, sediment deposition during individual incubations stimulated mineralization of N and P. However, the amount of N and P mineralized in soil was substantially less than the amount deposited with sedimentation. In summary, greater inputs of nutrients and water and storage of soil nutrients along gradients of river–floodplain hydrologic connectivity increased floodplain soil nutrient mineralization rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10021-012-9597-0","issn":"1432-9840","usgsCitation":"Noe, G., Hupp, C.R., and Rybicki, N.B., 2013, Hydrogeomorphology influences soil nitrogen and phosphorus mineralization in floodplain wetlands: Ecosystems, v. 16, no. 1, p. 75-94, https://doi.org/10.1007/s10021-012-9597-0.","productDescription":"20 p.","startPage":"75","endPage":"94","ipdsId":"IP-030280","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":266450,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-012-9597-0"},{"id":266455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266488,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10021-012-9597-0"}],"country":"United States","state":"Maryl;Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.2,38.6 ], [ -78.2,39.7 ], [ -76.3,39.7 ], [ -76.3,38.6 ], [ -78.2,38.6 ] ] ] } } ] }","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-09-25","publicationStatus":"PW","scienceBaseUri":"5103a960e4b0ce88de6409b3","contributors":{"authors":[{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":472378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":472377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":472376,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047077,"text":"70047077 - 2013 - The Greenville Fault: preliminary estimates of its long-term creep rate and seismic potential","interactions":[],"lastModifiedDate":"2014-01-13T16:09:31","indexId":"70047077","displayToPublicDate":"2013-01-22T15:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The Greenville Fault: preliminary estimates of its long-term creep rate and seismic potential","docAbstract":"Once assumed locked, we show that the northern third of the Greenville fault (GF) creeps at 2 mm/yr, based on 47 yr of trilateration net data. This northern GF creep rate equals its 11-ka slip rate, suggesting a low strain accumulation rate. In 1980, the GF, easternmost strand of the San Andreas fault system east of San Francisco Bay, produced a M<sub>w</sub>5.8 earthquake with a 6-km surface rupture and dextral slip growing to ≥2 cm on cracks over a few weeks. Trilateration shows a 10-cm post-1980 transient slip ending in 1984. Analysis of 2000-2012 crustal velocities on continuous global positioning system stations, allows creep rates of ~2 mm/yr on the northern GF, 0-1 mm/yr on the central GF, and ~0 mm/yr on its southern third. Modeled depth ranges of creep along the GF allow 5-25% aseismic release. Greater locking in the southern two thirds of the GF is consistent with paleoseismic evidence there for large late Holocene ruptures. Because the GF lacks large (>1 km) discontinuities likely to arrest higher (~1 m) slip ruptures, we expect full-length (54-km) ruptures to occur that include the northern creeping zone. We estimate sufficient strain accumulation on the entire GF to produce M<sub>w</sub>6.9 earthquakes with a mean recurrence of ~575 yr. While the creeping 16-km northern part has the potential to produce a M<sub>w</sub>6.2 event in 240 yr, it may rupture in both moderate (1980) and large events. These two-dimensional-model estimates of creep rate along the southern GF need verification with small aperture surveys.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120169","usgsCitation":"Lienkaemper, J.J., Barry, R., Smith, F.E., Mello, J.D., and McFarland, F., 2013, The Greenville Fault: preliminary estimates of its long-term creep rate and seismic potential: Bulletin of the Seismological Society of America, v. 103, no. 5, p. 2729-2738, https://doi.org/10.1785/0120120169.","productDescription":"10 p.","startPage":"2729","endPage":"2738","ipdsId":"IP-036882","costCenters":[],"links":[{"id":280928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280918,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120169"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.510053,37.445189 ], [ -122.510053,38.144186 ], [ -122.036543,38.144186 ], [ -122.036543,37.445189 ], [ -122.510053,37.445189 ] ] ] } } ] }","volume":"103","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"53cd76f3e4b0b2908510b3d4","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":481008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barry, Robert G.","contributorId":87857,"corporation":false,"usgs":true,"family":"Barry","given":"Robert G.","affiliations":[],"preferred":false,"id":481012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Forrest E.","contributorId":41735,"corporation":false,"usgs":true,"family":"Smith","given":"Forrest","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mello, Joseph D.","contributorId":25862,"corporation":false,"usgs":true,"family":"Mello","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McFarland, Forrest S.","contributorId":26775,"corporation":false,"usgs":true,"family":"McFarland","given":"Forrest S.","affiliations":[],"preferred":false,"id":481010,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042728,"text":"ofr20121103 - 2013 - Sea-floor character and geology off the entrance to the Connecticut River, northeastern Long Island Sound","interactions":[],"lastModifiedDate":"2025-04-10T15:34:37.436641","indexId":"ofr20121103","displayToPublicDate":"2013-01-22T00:00:00","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":"2012-1103","title":"Sea-floor character and geology off the entrance to the Connecticut River, northeastern Long Island Sound","docAbstract":"Datasets of gridded multibeam bathymetry and sidescan-sonar backscatter, together covering approximately 29.1 square kilometers, were used to interpret character and geology of the sea floor off the entrance to the Connecticut River in northeastern Long Island Sound. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H12013, these acoustic data, sidescan-sonar imagery, and the sea-floor sampling and photography stations subsequently occupied to verify the acoustic data (1) show the composition and terrain of the seabed, (2) provide information on sediment transport and benthic habitat, and (3) are part of an expanding series of studies that provide a fundamental framework for research and resource management (for example, cables, pipelines, and dredging) activities in this major east coast estuary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121103","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Energy and Environmental Protection. This report is available online and in DVD-ROM format, please see the <a href=\"http://pubs.usgs.gov/of/2012/1103/title_page.html\" target=\"_blank\">Title Page</a> for ordering information.","usgsCitation":"Poppe, L., McMullen, K.Y., Ackerman, S.D., Guberski, M.R., and Wood, D.A., 2013, Sea-floor character and geology off the entrance to the Connecticut River, northeastern Long Island Sound: U.S. Geological Survey Open-File Report 2012-1103, HTML Document; DVD-ROM, https://doi.org/10.3133/ofr20121103.","productDescription":"HTML Document; DVD-ROM","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-04-30","ipdsId":"IP-038026","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":266222,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1103/title_page.html"},{"id":266221,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1103/"},{"id":266223,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1103.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Long Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.23953373392226, 41.257477963929766], [-72.2616062176059, 41.2505197132595], [-72.30125969120047, 41.242135591550266], [-72.30264278610832, 41.243105183856805], [-72.34099871705746, 41.23306705174212], [-72.34175442870804, 41.23685986870588], [-72.34318029974708, 41.237116525492915], [-72.34169739386641, 41.239241073341134], [-72.34179720483922, 41.26279646290539], [-72.3349672825625, 41.26291053258846], [-72.32448713042584, 41.25769184458568], [-72.31994200353903, 41.26233174313049], [-72.31992434310104, 41.26748757862366], [-72.31606023258531, 41.26815773801188], [-72.30677651279814, 41.274008517806045], [-72.2963380065483, 41.27672584324256], [-72.28628804529103, 41.2755722674148], [-72.2809552876052, 41.278766218542195], [-72.27057494644123, 41.281689254172086], [-72.25999498333181, 41.28070540315524], [-72.25751396772392, 41.282544776795525], [-72.25856911229289, 41.28355714523316], [-72.25407761852, 41.28528244919021], [-72.25305099137188, 41.28867602226312], [-72.24609274070156, 41.295163735490576], [-72.24294156570545, 41.295349098725694], [-72.24115922690669, 41.293424172823116], [-72.24289878957427, 41.28589557373709], [-72.24135884885214, 41.282416448401946], [-72.2428560134431, 41.281732030303196], [-72.2403892565456, 41.28057707476166], [-72.23986168426114, 41.27337642601468], [-72.2415584707976, 41.272535162101576], [-72.2387922809819, 41.27160834592631], [-72.24091682883005, 41.270496166515876], [-72.24120200303781, 41.26750183733393], [-72.23930559455596, 41.2665750211587], [-72.23953373392226, 41.257477963929766]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.34318029974708, 41.23306705174212, -72.2387922809819, 41.295349098725694], \"type\": \"Feature\", \"id\": \"3091977\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50fee5fae4b0fcbbbbab75f5","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":24036,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[],"preferred":false,"id":472123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guberski, Megan R.","contributorId":101541,"corporation":false,"usgs":true,"family":"Guberski","given":"Megan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Douglas A.","contributorId":23415,"corporation":false,"usgs":true,"family":"Wood","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70055864,"text":"ofr20131139 - 2013 - Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","interactions":[],"lastModifiedDate":"2014-04-08T15:31:01","indexId":"ofr20131139","displayToPublicDate":"2013-01-21T11:54:00","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":"2013-1139","title":"Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","docAbstract":"Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operator algorithms were used to map hydrothermally altered rocks in the central and southern parts of the Basin and Range province of the United States. The hydrothermally altered rocks mapped in this study include (1) hydrothermal silica-rich rocks (hydrous quartz, chalcedony, opal, and amorphous silica), (2) propylitic rocks (calcite-dolomite and epidote-chlorite mapped as separate mineral groups), (3) argillic rocks (alunite-pyrophyllite-kaolinite), and (4) phyllic rocks (sericite-muscovite). A series of hydrothermal alteration maps, which identify the potential locations of hydrothermal silica-rich, propylitic, argillic, and phyllic rocks on Landsat Thematic Mapper (TM) band 7 orthorectified images, and geographic information systems shape files of hydrothermal alteration units are provided in this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131139","usgsCitation":"Mars, J.L., 2013, Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data (Originally posted November 21, 2013; Revised April 8, 2014): U.S. Geological Survey Open-File Report 2013-1139, Report: iv, 6 p.; 13 Maps: 52.00 x 52.00 inches; Downloads Directory, https://doi.org/10.3133/ofr20131139.","productDescription":"Report: iv, 6 p.; 13 Maps: 52.00 x 52.00 inches; Downloads Directory","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042460","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":279387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131139.jpg"},{"id":279069,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1139/"},{"id":279370,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3d.pdf"},{"id":279371,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3e.pdf"},{"id":279368,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3b.pdf"},{"id":279369,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3c.pdf"},{"id":279372,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3f.pdf"},{"id":279385,"type":{"id":23,"text":"Spatial Data"},"url":"https://mrdata.usgs.gov/surficial-mineralogy/ofr-2013-1139/"},{"id":279360,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2c.pdf"},{"id":279342,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1139/of2013-1139.pdf"},{"id":279358,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2a.pdf"},{"id":279356,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate1.pdf"},{"id":279359,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2b.pdf"},{"id":279367,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3a.pdf"},{"id":279362,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2d.pdf"},{"id":279363,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2e.pdf"},{"id":279365,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2f.pdf"}],"projection":"Universal Transverse Mercator projection, zone 11N","datum":"1927 North American Datum","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","edition":"Originally posted November 21, 2013; Revised April 8, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528f53ffe4b0660d392bedf5","contributors":{"authors":[{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":486267,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042686,"text":"tm11C7 - 2013 - Landsat surface reflectance quality assurance extraction (version 1.7)","interactions":[],"lastModifiedDate":"2017-03-29T14:30:20","indexId":"tm11C7","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-C7","title":"Landsat surface reflectance quality assurance extraction (version 1.7)","docAbstract":"The U.S. Geological Survey (USGS) Land Remote Sensing Program is developing an operational capability to produce Climate Data Records (CDRs) and Essential Climate Variables (ECVs) from the Landsat Archive to support a wide variety of science and resource management activities from regional to global scale. The USGS Earth Resources Observation and Science (EROS) Center is charged with prototyping systems and software to generate these high-level data products. Various USGS Geographic Science Centers are charged with particular ECV algorithm development and (or) selection as well as the evaluation and application demonstration of various USGS CDRs and ECVs. Because it is a foundation for many other ECVs, the first CDR in development is the Landsat Surface Reflectance Product (LSRP). The LSRP incorporates data quality information in a bit-packed structure that is not readily accessible without postprocessing services performed by the user. This document describes two general methods of LSRP quality-data extraction for use in image processing systems. Helpful hints for the installation and use of software originally developed for manipulation of Hierarchical Data Format (HDF) produced through the National Aeronautics and Space Administration (NASA) Earth Observing System are first provided for users who wish to extract quality data into separate HDF files. Next, steps follow to incorporate these extracted data into an image processing system. Finally, an alternative example is illustrated in which the data are extracted within a particular image processing system.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Geographic Information Systems tools and applications in Book 11 <i>Collection and Delineation of Spatial Data</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C7","usgsCitation":"Jones, J.W., Starbuck, M., and Jenkerson, C.B., 2013, Landsat surface reflectance quality assurance extraction (version 1.7): U.S. Geological Survey Techniques and Methods 11-C7, iv, 9 p., https://doi.org/10.3133/tm11C7.","productDescription":"iv, 9 p.","numberOfPages":"15","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c7.gif"},{"id":265814,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/c07/"},{"id":265815,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/c07/pdf/tm11-c7.pdf"}],"country":"United States","publicComments":"This report is Chapter 7 of Section C: Geographic Information Systems tools and applications in Book 11 <i>Collection and Delineation of Spatial Data</i>.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6fe4b0727905955f1c","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starbuck, M.J.","contributorId":86243,"corporation":false,"usgs":true,"family":"Starbuck","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":472062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":24958,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":472061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042688,"text":"sim3200 - 2013 - Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts","interactions":[],"lastModifiedDate":"2022-09-23T14:47:40.025665","indexId":"sim3200","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3200","title":"Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts","docAbstract":"The bedrock geology of the 7.5-minute Nashua South quadrangle consists primarily of deformed Silurian metasedimentary rocks of the Berwick Formation. The metasedimentary rocks are intruded by a Late Silurian to Early Devonian diorite-gabbro suite, Devonian rocks of the Ayer Granodiorite, Devonian granitic rocks of the New Hampshire Plutonic Suite including pegmatite and the Chelmsford Granite, and Jurassic diabase dikes. The bedrock geology was mapped to study the tectonic history of the area and to provide a framework for ongoing hydrogeologic characterization of the fractured bedrock of Massachusetts and New Hampshire. This report presents mapping by G.J. Walsh and R.H. Jahns and zircon U-Pb geochronology by J.N. Aleinikoff. The complete report consists of a map, text pamphlet, and GIS database. The map and text pamphlet are only available as downloadable files (see frame at right). The GIS database is available for download in ESRI<sup>TM</sup> shapefile and Google Earth<sup>TM</sup> formats, and includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, photographs, and a three-dimensional model.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3200","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Massachusetts Geological Survey and the State of New Hampshire, New Hampshire Geological Survey","usgsCitation":"Walsh, G.J., Jahns, R., and Aleinikoff, J.N., 2013, Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3200, Pamphlet: iv, 31 p.; 1 Plate: 29.72 x 37.38 inches; Downloads Directory, https://doi.org/10.3133/sim3200.","productDescription":"Pamphlet: iv, 31 p.; 1 Plate: 29.72 x 37.38 inches; Downloads Directory","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":265818,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3200/pdf/SIM_3200_map_sheet.pdf"},{"id":265817,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3200/"},{"id":265819,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3200/pdf/SIM3200_pamphlet_low_rez.pdf"},{"id":265820,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3200/Downloads"},{"id":265821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3200.gif"},{"id":398870,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98076.htm"}],"scale":"24000","projection":"Polyconic projection","datum":"1927 North American Datum","country":"United States","state":"Massachusetts, New Hampshire","county":"Hillsborough County, Middlesex County","otherGeospatial":"Nashua South quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.500,42.625 ], [ -71.500,42.750 ], [ -71.375,42.750 ], [ -71.375,42.625 ], [ -71.500,42.625 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d5fe4b0727905955f08","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":472064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahns, Richard H.","contributorId":107757,"corporation":false,"usgs":true,"family":"Jahns","given":"Richard H.","affiliations":[],"preferred":false,"id":472066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042680,"text":"ofr20131016 - 2013 - Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","interactions":[],"lastModifiedDate":"2013-01-17T11:03:32","indexId":"ofr20131016","displayToPublicDate":"2013-01-17T00:00:00","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":"2013-1016","title":"Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","docAbstract":"The Merced River in the popular and picturesque eastern-most part of Yosemite Valley in Yosemite National Park, California, USA, has been extensively altered since the park was first conceived in 1864. Historical human trampling of streambanks has been suggested as the cause of substantial increases in stream width, and the construction of undersized stone bridges in the 1920s has been suggested as the major factor leading to an increase in overbank flooding due to deposition of bars and islands between the bridges. In response, the National Park Service at Yosemite National Park (YNP) requested a study of the hydraulic and geomorphic conditions affecting the most-heavily influenced part of the river, a 2.4-km reach in eastern Yosemite Valley extending from above the Tenaya Creek and Merced River confluence to below Housekeeping Bridge. As part of the study, present-day conditions were compared to historical conditions and several possible planning scenarios were investigated, including the removal of an elevated road berm and the removal of three undersized historic stone bridges identified by YNP as potential problems: Sugar Pine, Ahwahnee and Stoneman Bridges. This Open-File Report will be superseded at a later date by a Scientific Investigations Report. A two-dimensional hydrodynamic model, the USGS FaSTMECH (Flow and Sediment Transport with Morphological Evolution of Channels) model, within the USGS International River Interface Cooperative (iRIC) model framework, was used to compare the scenarios over a range of discharges with annual exceedance probabilities of 50-, 20-, 10-, and 5- percent. A variety of topographic and hydraulic data sources were used to create the input conditions to the hydrodynamic model, including aerial LiDAR (Light Detection And Ranging), ground-based LiDAR, total station survey data, and grain size data from pebble counts. A digitized version of a historical topographic map created by the USGS in 1919, combined with estimates of grain size, was used to simulate historical conditions, and the planning scenarios were developed by altering the present-day topography. Roughness was estimated independently of measured water-surface elevations by using the mapped grain-size data and the Keulegan relation of grain size to drag coefficient. The FaSTMECH hydrodynamic model was evaluated against measured water levels by using a 130.9 m<sup>3</sup> s<sup>-1</sup> flow (approximately a 33-percent annual exceedance probability flood) with 36 water-surface elevations measured by YNP personnel on June 8, 2010. This evaluation run had a root mean square error of 0.21 m between the simulated- and observed water-surface elevations (less than 10 percent of depth), though the observed water-surface elevations had relatively high variation due to the strong diurnal stage changes over the course of the 4.4-hour collection period, during which discharge varied by about 15 percent. There are presently no velocity data with which to test the model. A geomorphic assessment was performed that consisted of an estimate of the magnitude and frequency of bedload and suspended-sediment transport at “Tenaya Bar”, an important gravel-cobble bar located near the upstream end of the study site that determines the amount of flow across the floodplain at the Sugar Pine – Ahwahnee bend. An analysis of select repeat cross-sections collected by YNP since the late 1980s was done to investigate changes in channel cross-sectional area near the Tenaya Bar site. The results of the FaSTMECH models indicate that the maximum velocities in the present-day channel within the study reach are associated with Stoneman and Sugar Pine Bridges, at close to 3.0 m s<sup>-1</sup> for the 5-percent annual exceedance probability flood. The modeled maximum velocities at Ahwahnee Bridge are comparatively low, at between 1.5 and 2.0 m s<sup>-1</sup>, most likely due to the bridge's orientation parallel to down-valley floodplain flows. The results of the FaSTMECH models for the bridge removal scenarios indicate a reduction in average velocity at the bridge sites for the range of flows by approximately 23-38 percent (Sugar Pine Bridge), 32-42 percent (Ahwahnee Bridge), and 33-39 percent (Stoneman Bridge), though a side channel of concern to YNP management did not appear to be substantially affected by the removal scenarios. In comparison to the historical data, the FaSTMECH results suggest that flows for present-day conditions do not inundate the floodplain until between the 50- and 20-percent annual exceedance probability flood, whereas historically, a large portion of the floodplain was inundated during the 50-percent annual exceedance probability flood. Modeled maximum velocities in the present-day channel commonly exceed 2.0 m s<sup>-1</sup>, whereas with the historical scenario, modeled maximum in-channel velocities rarely exceeded 2.0 m s<sup>-1</sup>. The geomorphic analysis of the magnitude-frequency of bedload and suspended-sediment transport suggests that at the important Tenaya Bar site, the majority of bed sediment is mobile during most snowmelt-dominated floods. In contrast to sediment transport capacity, the analysis of repeat cross-sections suggests that bedload sediment supply into the eastern Yosemite Valley may be quite different between rain-on-snow floods and snowmelt-dominated floods, potentially with most sediment supply occurring during rain-on-snow floods, such as the 1997 flood. In contrast, the magnitude-frequency analysis of bedload and suspended-sediment transport suggests that long-term bedload sediment transport is likely dominated by snowmelt floods, and suspended-sediment transport is relatively low compared to bedload transport. Obtaining measured velocity data throughout the study reach would aid in model calibration, and thus would improve confidence in model results. Improved confidence in the model velocity results would allow additional substantial analyses of reach-scale effects of the planning scenarios and would enable the development of geomorphic models to evaluate the long-term geomorphic responses of the site. In addition, the collection of watershed sediment-supply data, about which little is presently known, would give planners helpful tools to plan restoration scenarios for this nationally important river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131016","usgsCitation":"Minear, J., and Wright, S., 2013, Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California: U.S. Geological Survey Open-File Report 2013-1016, ix, 79 p., https://doi.org/10.3133/ofr20131016.","productDescription":"ix, 79 p.","numberOfPages":"88","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1016.jpg"},{"id":265802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1016/"},{"id":265803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1016/pdf/ofr2013-1016.pdf"}],"country":"United States","state":"California","otherGeospatial":"Illilouette Creek;Tenaya Creek;Upper Merced;Yosemite Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.7,37.639 ], [ -119.7,37.816 ], [ -119.35,37.816 ], [ -119.35,37.639 ], [ -119.7,37.639 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6de4b0727905955f14","contributors":{"authors":[{"text":"Minear, J. 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,{"id":70042412,"text":"ofr20061210 - 2013 - Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","interactions":[],"lastModifiedDate":"2017-11-18T12:01:51","indexId":"ofr20061210","displayToPublicDate":"2013-01-07T00:00:00","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":"2006-1210","title":"Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","docAbstract":"In 2002 and 2003, the U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises that mapped for the first time the morphology of the entire tectonic plate boundary stretching from the Dominican Republic in the west to the Lesser Antilles in the east, a distance of approximately 700 kilometers (430 miles). Observations from these three exploration cruises, coupled with computer modeling and published Global Positioning System (GPS) results and earthquake focal mechanisms, have provided new information that is changing the evaluation of the seismic and tsunami hazard from this plate boundary. The observations collected during these cruises also contributed to the basic understanding of the mechanisms that govern plate tectonics, in this case, the creation of the island of Puerto Rico and the deep trench north of it. Results of the sea floor mapping have been an important component of the study of tsunami and earthquake hazards to the northeastern Caribbean and the U.S. Atlantic coast off the United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061210","usgsCitation":"ten Brink, U., Danforth, W.W., and Polloni, C.F., 2013, Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003: U.S. Geological Survey Open-File Report 2006-1210, HTML Document, https://doi.org/10.3133/ofr20061210.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":265368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1210.jpg"},{"id":265366,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1210/"},{"id":265367,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1210/title_page.html"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.25,17.88 ], [ -70.25,22.03 ], [ -59.4,22.03 ], [ -59.4,17.88 ], [ -70.25,17.88 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee63e4b07f1501afcfac","contributors":{"authors":[{"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":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":471490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":471489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polloni, Christopher F.","contributorId":93087,"corporation":false,"usgs":true,"family":"Polloni","given":"Christopher","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":471491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042378,"text":"sir20125217 - 2013 - Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","interactions":[],"lastModifiedDate":"2013-01-06T12:06:52","indexId":"sir20125217","displayToPublicDate":"2013-01-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5217","title":"Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","docAbstract":"Hydrologic and water-quality data were collected at Bower Creek during the periods before best-management practices (BMPs), and after BMPs were installed for evaluation of water-quality improvements. The monitoring was done between 1990 and 2009 with the pre-BMP period ending in July 1994 and the post-BMP period beginning in October 2006. BMPs installed in this basin included streambank protection and fencing, stream crossings, grade stabilization, buffer strips, various barnyard-runoff controls, nutrient management, and a low degree of upland BMPs. Water-quality evaluations included base-flow concentrations and storm loads for total suspended solids, total phosphorus, and ammonia nitrogen. The only reductions detected between the base-flow samples of the pre- and post-BMP periods were in median concentrations of total phosphorus from base-flow samples, but not for total suspended solids or dissolved ammonia nitrogen. Differences in storm loads for the three water-quality constituents monitored were not observed during the study period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125217","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Corsi, S., Horwatich, J.A., Rutter, T.D., and Bannerman, R.T., 2013, Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009: U.S. Geological Survey Scientific Investigations Report 2012-5217, viii, 21 p., https://doi.org/10.3133/sir20125217.","productDescription":"viii, 21 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5217.gif"},{"id":265294,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5217/"},{"id":265295,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5217/pdf/sir2012-5217_508.pdf"}],"scale":"24000","country":"United States","state":"Wisconsin","county":"Brown","city":"Bellevue;De Pere;Green Leaf;Morrison","otherGeospatial":"Bower Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.016667,44.341667 ], [ -88.016667,44.433333 ], [ -87.925,44.433333 ], [ -87.925,44.341667 ], [ -88.016667,44.341667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50eaab77e4b02dd6076fada3","contributors":{"authors":[{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":511,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutter, Troy D. 0000-0001-5130-204X tdrutter@usgs.gov","orcid":"https://orcid.org/0000-0001-5130-204X","contributorId":2081,"corporation":false,"usgs":true,"family":"Rutter","given":"Troy","email":"tdrutter@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042297,"text":"70042297 - 2013 - Distribution and environmental persistence of the causative agent of white-nose syndrome, <i>Geomyces destructans</i>, in bat hibernacula of the eastern United States","interactions":[],"lastModifiedDate":"2018-01-24T13:39:00","indexId":"70042297","displayToPublicDate":"2013-01-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and environmental persistence of the causative agent of white-nose syndrome, <i>Geomyces destructans</i>, in bat hibernacula of the eastern United States","docAbstract":"<p>White-nose syndrome (WNS) is an emerging disease of hibernating bats caused by the recently described fungus <i>Geomyces destructans</i>. First isolated in 2008, the origins of this fungus in North America and its ability to persist in the environment remain undefined. To investigate the correlation between manifestation of WNS and distribution of <i>G. destructans</i> in the U.S., we analyzed sediment samples collected from 55 bat hibernacula (caves and mines) both within and outside the known range of WNS using a newly developed real-time PCR assay. <i>Geomyces destructans</i> was detected in 17 of 21 sites within the known range of WNS at the time the samples were collected; the fungus was not found in 28 sites beyond the known range of the disease at the time that environmental samples were collected. These data indicate that distribution of <i>G. destructans</i> is correlated with disease in hibernating bats and support the hypothesis that the fungus is likely an exotic species in North America. Additionally, we examined whether <i>G. destructans</i> persists in infested bat hibernacula when bats are absent. Sediment samples were collected from 14 WNS-positive hibernacula, and the samples were screened for viable fungus using a culture technique. Viable <i>G. destructans</i> was cultivated from 7 of the 14 sites sampled during late summer when bats were no longer in hibernation, suggesting the fungus can persist in the environment in the absence of bat hosts for long periods of time.</p>","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/AEM.02939-12","usgsCitation":"Lorch, J.M., Muller, L.K., Russell, R.E., O’Connor, M., Lindner, D.L., and Blehert, D., 2013, Distribution and environmental persistence of the causative agent of white-nose syndrome, <i>Geomyces destructans</i>, in bat hibernacula of the eastern United States: Applied and Environmental Microbiology, v. 79, no. 4, p. 1293-1301, https://doi.org/10.1128/AEM.02939-12.","productDescription":"36 p.","startPage":"1293","endPage":"1301","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041188","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.02939-12","text":"External Repository"},{"id":265034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265033,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/AEM.02939-12"}],"country":"United 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rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":471220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Michael","contributorId":51608,"corporation":false,"usgs":true,"family":"O’Connor","given":"Michael","email":"","affiliations":[],"preferred":false,"id":471223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindner, Daniel L.","contributorId":7411,"corporation":false,"usgs":true,"family":"Lindner","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":471219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043344,"text":"70043344 - 2013 - Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","interactions":[],"lastModifiedDate":"2021-03-04T14:44:57.232009","indexId":"70043344","displayToPublicDate":"2013-01-01T15:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/WICA/NRTRT--2013/681","title":"Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","docAbstract":"<h1>Introduction</h1>\n<p>The effects of climate change on the natural resources protected by Parks will likely be substantial, but geographically variable, due to local variation in climate trajectories and differences among ecosystems in their vulnerability to climate change. The projections of general circulation models (GCMs) indicate the possible magnitude and direction of future climate change for a region, but the utility of these projections for more local scales, those of individual National Park Service (NPS) units, are more uncertain because the coarse-scale GCMs lack much of the topographic detail that alters local climates. In addition, complex, interacting effects of temperature, precipitation, atmospheric CO<sub>2</sub> concentrations, fire, and herbivores on the vegetation that is the foundational natural resource of many NPS units present challenges in assessing the effects of projected future climates on plant and animal assemblages managed by the NPS.</p>\n<p>In spring 2009, Wind Cave National Park (WICA) served as a case study in a workshop assessing the use of scenario planning as a tool for park management planning in the face of rapidly changing climate. One outcome of the workshop was the recognized need for quantitative models to better understand the range of possible vegetation changes under different future climates and management decisions. This report addresses this need; it describes our adaptation of a dynamic global vegetation model (DGVM) to WICA vegetation and the resulting projections of future vegetation under three future climate scenarios and 11 management scenarios determined by Park natural resource managers.</p>\n<p>Wind Cave National Park lies along a narrow transition zone between the ponderosa pine (Pinus ponderosa) forests of the Black Hills and the mixed grass prairie that once extended with few interruptions over the lower, gentler terrain, subject to warmer, drier climate to the east and south of the Park. The location and character of this transition is strongly influenced by fire frequency and intensity (Brown and Sieg 1999). Furthermore, the mixed grass prairie occupies a broader transition zone between eastern tallgrass prairie and the shortgrass prairie of the western Great Plains. The dominance of species characteristic of these two prairie types varies with soil moisture availability, evaporative demand, and recent grazing history (Cogan et al. 1999). In addition, Wind Cave lies near the midpoint of a long gradient of C<sub>3</sub> (cool season) grass dominance to the north and C<sub>4</sub> (warm season) grass dominance to the south.</p>\n<p>The ecotonal position of WICA may make it particularly sensitive to climate change. For example, small changes in fire frequency and/or intensity and the vigor of trees vs. grass could dramatically shift the proportions of these two lifeforms. The Park hydrology is also sensitive to changes in the balance between infiltration of precipitation and evapotranspiration, as on average, only a small fraction of annual precipitation reaches the deeper soil layers that feed permanent streamflow. The resources at risk at Wind Cave NP include the Cave itself, as well as small backcountry caves, a genetically important bison herd, and other prairie species including the black-tailed prairie dog and endangered black-footed ferrets. All of these resources will be directly affected by climate change impacts on vegetation and hydrology.</p>\n<p>Natural resource management challenges at WICA are substantial, diverse, and intertwined. Aboveground, the park has been recognized as exemplary for its high quality vegetation (Marriot et al. 1999), though the park is relatively small for the diversity of vegetation types and species that it supports. Even without a changing climate, maintaining the integrity of the plant communities is complicated by the park&rsquo;s legislated responsibility to maintain viable populations of bison, elk and pronghorn. In addition, the federally endangered black-footed ferret was recently re-introduced to the park. This species requires large extents of prairie dog towns for prey and habitat. Prairie dogs impact vegetation by constant clipping, grazing and soil disturbance, thereby affecting plant composition and productivity. Moreover, naturally high interannual climate variability and the strong influence of precipitation on grass productivity in this region combine to yield high interannual variability in the amount of forage available for the wildlife that the park is tasked to maintain. Finally, fire, which is now primarily controlled by WICA and NPS Northern Great Plains fire management programs, is intertwined with all other natural resource issues at WICA, as it can impact prairie dog colony and forest expansion, ungulate foraging behavior, invasive plant species, and hydrological processes.</p>\n<p>Although not capable of capturing all of these complexities, dynamic vegetation models do provide a means for quantitatively projecting vegetation futures in future climates under plausible fire and grazing regimes. Our work uses the DGVM MC1 to simulate the effects of future climate projections and management practices on the vegetation of WICA. MC1 is designed to project potential vegetation as influenced by natural processes and hence is appropriate for national parks, where conservation of native biota and ecosystems is of great importance.</p>\n<p>Since the initial application of MC1 to a small portion of WICA (Bachelet et al. 2000), the model has been altered to improve model performance with the inclusion of dynamic fire. Applying this improved version to WICA required substantial recalibration, during which we have made a number of improvements to MC1 that will be incorporated as permanent changes. In this report we document these changes and our calibration procedure following a brief overview of the model. We compare the projections of current vegetation to the current state of the park and present projections of vegetation dynamics under future climates downscaled from three GCMs selected to represent the existing range in available GCM projections. In doing so, we examine the consequences of different management options regarding fire and grazing, major aspects of biotic management at Wind Cave.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"King, D.A., Bachelet, D.M., and Symstad, A., 2013, Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052: National Park Service Natural Resource Technical Report NPS/WICA/NRTRT--2013/681, x, 58 p.","productDescription":"x, 58 p.","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041469","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":275526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383826,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2192953"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.550635,43.497251 ], [ -103.550635,43.640543 ], [ -103.337034,43.640543 ], [ -103.337034,43.497251 ], [ -103.550635,43.497251 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f78eede4b02e26443a93d4","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J.","contributorId":11721,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","affiliations":[],"preferred":false,"id":473448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046960,"text":"70046960 - 2013 - Identification of metrics to monitor salt marsh integrity on National Wildlife Refuges in relation to conservation and management objectives","interactions":[],"lastModifiedDate":"2016-08-10T15:52:10","indexId":"70046960","displayToPublicDate":"2013-01-01T15:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Identification of metrics to monitor salt marsh integrity on National Wildlife Refuges in relation to conservation and management objectives","docAbstract":"<h1>Executive Summary</h1>\n<p>Most salt marshes in the US have been degraded by human activities, and threats from physical alterations, surrounding land-use, species invasions, and global climate change persist. Salt marshes are unique and highly productive ecosystems with high intrinsic value to wildlife, and many National Wildlife Refuges (NWRs) have been established in coastal areas to protect large tracts of salt marsh and wetland-dependent species. Various management practices are employed routinely on coastal NWRs to restore and enhance marsh integrity and ensure ecosystem sustainability. Prioritizing NWR salt marshes for application of management actions and choosing among multiple management options requires scientifically-based methods for assessing marsh condition.</p>\n<p>Monitoring is integral to structured decision-making (SDM), a formal process for decomposing a decision into its essential elements. Within a natural resource context, SDM involves identifying management objectives, alternative management actions, and expected management outcomes. The core of SDM is a set of criteria for measuring system performance and evaluating management responses. Therefore, use of SDM to frame natural resource decisions leads to logical selection of monitoring attributes that are linked explicitly to management needs.</p>\n<p>We used SDM to guide selection of variables for monitoring the ecological integrity of salt marshes within the National Wildlife Refuge System (NWRS). Our objectives were to identify indicators of salt marsh integrity that are effective across large geographic regions, responsive to a wide range of threats, and feasible to implement within funding and staffing constraints of the NWRS. In April, 2008, we engaged interdisciplinary experts in a week-long rapid prototyping SDM workshop to define the essential elements of salt marsh management decisions on refuges throughout the northeastern, southwestern, and northwestern US, corresponding to respective Regions 5, 2, and 1 of the US Fish and Wildlife Service (FWS). Through this process we identified measurable attributes for monitoring salt marsh ecosystems that are integrated into conservation practice and target management objectives.</p>\n<p>The following salt marsh attributes were identified through the SDM process either for describing state condition to determine management needs or for evaluating the achievement of management objectives: historical condition and geomorphic setting; ditch density; surrounding land use; ratio of open water area to vegetation area; rate of pesticide application; environmental contaminant concentration; change in marsh surface elevation relative to sea level rise; tidal range and groundwater level; surface topography; salinity; and species composition and abundance of vegetation, invasive species, invertebrates, nekton, and breeding and wintering birds.</p>\n<p>The identified attributes were too broadly defined to serve as operational monitoring variables. Therefore, we tested specific metrics for quantifying most of these attributes in summers of 2008 and 2009. The first four attributes in the above list can be characterized by office-based analysis of existing GIS data layers. The remaining attributes require field-based methods for assessment. We were forced to exclude a small number of attributes from field tests due to inconsistent data (pesticide application rate, environmental contaminant concentrations) or requirements that exceeded the scope of this project (change in marsh surface elevation; surface topography; benthic invertebrates; wintering birds). We evaluated potential metrics for evaluating all remaining field attributes.</p>\n<p>In partnership with NWRS biologists, we tested rapid versus intensive metrics for monitoring field attributes (tidal range and groundwater level; marsh surface elevation; salinity; and species composition and abundance of vegetation, invasive species, nekton, and breeding birds) at coastal refuges throughout FWS Region 5. Seven refuges participated in metric testing in 2008: Rachel Carson (ME), Parker River (MA), Wertheim (NY), E. B. Forsythe (NJ), Bombay Hook (DE), Prime Hook (DE), and Eastern Shore of Virginia Complex (VA). These seven and two additional refuges participated in metric testing in 2009: Rhode Island Complex (RI) and Stewart B. McKinney (CT). We based all field metrics on existing protocols for salt marsh assessment. Sampling locations were determined randomly within delineated marsh study units (MSUs) at each refuge. Detailed field methods are provided in appendices to this report.</p>\n<p>Measurements for individual metrics were averaged across samples within MSUs during each year of sampling. Each year, correlation or regression analysis was conducted on average measurements across MSUs within each attribute set to identify redundant metrics. Statistical redundancy between a pair of metrics within an attribute set (i.e., correlation or regression slopes with p-values &lt; 0.05) was considered justification for eliminating one of the pair from the regional set of monitoring metrics. Decisions regarding metric elimination versus retention were based on feasibility of monitoring, considering such factors as sampling time, resources required, and potential for regional standardization in implementation.</p>\n<p>The result of these tests is a reduced suite of monitoring metrics that targets NWRS management decisions and is practicable for implementing on a regional scale. Based on these tests, we recommend the following list of metrics for monitoring integrity of NWRS salt marshes (marsh attribute category is in parentheses): (historical condition and geomorphic setting) position of marsh in the landscape, marsh shape, degree of fill and/or fragmentation, degree of tidal flushing, amount of aquatic edge; (ditch density) ranking of ditch density from none to severe; (surrounding land use) relative proportion of agricultural land in a 150-m buffer around the marsh, relative proportion of natural land in a 150-m buffer around the marsh, relative proportion of natural land in a 1-km buffer around the marsh; (ratio of open water area to vegetation area) ratio of open water to emergent herbaceous wetlands within the marsh; (marsh surface elevation) elevation referenced to NAVD88 in a representative area of the marsh; (tidal range and groundwater level) percent of time the marsh surface is flooded during deployment of a continuous water-level monitor at a representative marsh location, mean depth of surface flooding as measured by a continuous water-level monitor at a representative location; (salinity) salinity measured in surface water; (vegetation community) vegetation species richness using the point-intercept method in 100-m diameter survey plots, percent cover of various marsh community types within 100-m diameter survey plots; (invasive species abundance) percent cover of invasive plant species measured using the point-intercept method in 100-m diameter survey plots; (nekton community) nekton density, nekton species richness, length of <i>Fundulus heteroclitus</i>; (breeding bird community) abundance of Willets counted per point during standard call-broadcast surveys, summed abundance of tidal marsh obligate species (Clapper Rail, Willet, Saltmarsh Sparrow, Seaside Sparrow) counted per point during standard call-broadcast surveys. Metrics describing the historical condition, geomorphic setting, and broad landscape features can be assessed using existing GIS databases. Our results support use of rapid methods to assess the majority of field metrics; only those used to describe the nekton community must be measured using intensive methods (throw traps or ditch nets, dependant on habitat configuration).</p>\n<p>Implementation of these metrics for quantitative assessment of NWRS salt marsh integrity in FWS Region 5 requires developing sampling designs for each refuge. Additionally, it is important to determine how the monitoring information will be used within a management context. SDM should be used to complete the analysis of salt marsh management decisions. The next steps would involve 1) prioritizing and weighting the management objectives; 2) predicting responses to individual management actions in terms of objectives and metrics; 3) using multiattribute utility theory to convert all measurable attributes to a common utility scale; 4) determining the total management benefit of each action by summing utilities across objectives; and 5) maximizing the total management benefits within cost constraints for each refuge. This process would allow the optimum management decisions for NWRS salt marshes to be selected and implemented based directly on monitoring data and current understanding of marsh responses to management actions. Monitoring the outcome of management actions would then allow new monitoring data to be incorporated into subsequent decisions.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","collaboration":"Report submitted to U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA","usgsCitation":"Neckles, H.A., Guntenspergen, G.R., Shriver, W.G., Danz, N.P., Wiest, W.A., Nagel, J.L., and Olker, J., 2013, Identification of metrics to monitor salt marsh integrity on National Wildlife Refuges in relation to conservation and management objectives, x, 226 p.","productDescription":"x, 226 p.","numberOfPages":"240","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043211","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326161,"type":{"id":11,"text":"Document"},"url":"https://www.pwrc.usgs.gov/prodabs/pubpdfs/7828_Neckles.pdf","text":"Report","size":"21.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Connecticut, Delaware, Maine, Massachusetts, New Jersey, New York, Rhode Island, Virginia","otherGeospatial":"Bombay Hook National Wildlife Refuge, Eastern Shore of Virginia National Wildlife Refuge Complex, E. 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George","contributorId":97424,"corporation":false,"usgs":true,"family":"Shriver","given":"W.","email":"","middleInitial":"George","affiliations":[],"preferred":false,"id":480712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danz, Nicholas P.","contributorId":40898,"corporation":false,"usgs":true,"family":"Danz","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":480709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiest, Whitney A.","contributorId":96589,"corporation":false,"usgs":true,"family":"Wiest","given":"Whitney","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olker, Jennifer H.","contributorId":80187,"corporation":false,"usgs":true,"family":"Olker","given":"Jennifer H.","affiliations":[],"preferred":false,"id":480710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046447,"text":"70046447 - 2013 - Geologic model for the assessment of undiscovered hydrocarbons in Lower to Upper Cretaceous carbonate rocks of the Fredericksburg and Washita groups, U.S. Gulf Coast Region","interactions":[],"lastModifiedDate":"2021-03-31T17:03:24.05217","indexId":"70046447","displayToPublicDate":"2013-01-01T13:01:05","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geologic model for the assessment of undiscovered hydrocarbons in Lower to Upper Cretaceous carbonate rocks of the Fredericksburg and Washita groups, U.S. Gulf Coast Region","docAbstract":"<p>As part of the assessment of undiscovered oil and gas resources in Jurassic and Cretaceous strata of the U.S. Gulf Coast in 2010, the U.S. Geological Survey assessed carbonate rocks of the Fredericksburg and Washita groups and their equivalent units underlying onshore lands and State waters. One conventional assessment unit extending from south Texas to the Florida panhandle was defined: the Fredericksburg-Buda Carbonate Platform-Reef Gas and Oil assessment unit. Assessed strata range in age from Early Cretaceous Albian to Late Cretaceous Cenomanian. The assessment was based on a geologic model that incorporated the Upper Jurassic–Cretaceous–Tertiary Composite Total Petroleum System of the Gulf of Mexico Basin. The following factors were evaluated to define the assessment unit and estimate undiscovered oil and gas resources: potential source rocks, hydrocarbon migration, reservoir porosity and permeability, traps and seals, structural features, depositional framework, and potential for water washing of hydrocarbons near outcrop areas. Analysis of the production history of discovered reservoirs and well data within the assessment unit was also essential for estimating the numbers and sizes of undiscovered oil and gas reservoirs within the assessment unit. The downdip boundary of the assessment unit was drawn as an arbitrary line 10 miles downdip of the Lower Cretaceous shelf margin, to include potential reef-talus reservoirs, a facies described in the geologic model developed for the assessment. Updip boundaries of the assessment unit were drawn based on the updip extent of assessment unit carbonate reservoir rocks, basin margin fault zones, and (or) the presence of producing wells within the assessed interval. Using the U.S. Geological Survey methodology, mean undiscovered resources of 40 million barrels of oil, 622 billion cubic feet of gas, and 14 million barrels of natural gas liquids were estimated for the assessment unit.</p>","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Swanson, S.M., Enomoto, C.B., Dennen, K., Valentine, B.J., and Lohr, C., 2013, Geologic model for the assessment of undiscovered hydrocarbons in Lower to Upper Cretaceous carbonate rocks of the Fredericksburg and Washita groups, U.S. Gulf Coast Region: Gulf Coast Association of Geological Societies Transactions, v. 63, p. 423-437.","productDescription":"15 p.","startPage":"423","endPage":"437","numberOfPages":"15","ipdsId":"IP-045922","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":384781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384780,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/063/063001/423_gcags630423.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"U.S. Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.9638671875,\n              25.46311452925943\n            ],\n            [\n              -81.54052734375,\n              25.46311452925943\n            ],\n            [\n              -81.54052734375,\n              36.914764288955936\n            ],\n            [\n              -102.9638671875,\n              36.914764288955936\n            ],\n            [\n              -102.9638671875,\n              25.46311452925943\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","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":813273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dennen, Kristin O.","contributorId":209828,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin O.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":813276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813277,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046848,"text":"70046848 - 2013 - Clustering of GPS velocities in the Mojave Block, southeastern California","interactions":[],"lastModifiedDate":"2013-07-11T12:16:23","indexId":"70046848","displayToPublicDate":"2013-01-01T12:04:00","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":"Clustering of GPS velocities in the Mojave Block, southeastern California","docAbstract":"We find subdivisions within the Mojave Block using cluster analysis to identify groupings in the velocities observed at GPS stations there. The clusters are represented on a fault map by symbols located at the positions of the GPS stations, each symbol representing the cluster to which the velocity of that GPS station belongs. Fault systems that separate the clusters are readily identified on such a map. The most significant representation as judged by the gap test involves 4 clusters within the Mojave Block. The fault systems bounding the clusters from east to west are 1) the faults defining the eastern boundary of the Northeast Mojave Domain extended southward to connect to the Hector Mine rupture, 2) the Calico-Paradise fault system, 3) the Landers-Blackwater fault system, and 4) the Helendale-Lockhart fault system. This division of the Mojave Block is very similar to that proposed by Meade and Hager. However, no cluster boundary coincides with the Garlock Fault, the northern boundary of the Mojave Block. Rather, the clusters appear to continue without interruption from the Mojave Block north into the southern Walker Lane Belt, similar to the continuity across the Garlock Fault of the shear zone along the Blackwater-Little Lake fault system observed by Peltzer et al. Mapped traces of individual faults in the Mojave Block terminate within the block and do not continue across the Garlock Fault [Dokka and Travis, ].","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"ENglish","publisher":"AGU","doi":"10.1029/2012JB009699","usgsCitation":"Savage, J.C., and Simpson, R.W., 2013, Clustering of GPS velocities in the Mojave Block, southeastern California: Journal of Geophysical Research B: Solid Earth, v. 118, no. 4, p. 1747-1759, https://doi.org/10.1029/2012JB009699.","productDescription":"13 p.","startPage":"1747","endPage":"1759","ipdsId":"IP-042092","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012jb009699","text":"Publisher Index Page"},{"id":274872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274871,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JB009699"}],"country":"United States","state":"California","otherGeospatial":"Mojave Block","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.48,32.53 ], [ -124.48,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.48,32.53 ] ] ] } } ] }","volume":"118","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-22","publicationStatus":"PW","scienceBaseUri":"51dfd3e0e4b0d332bf22f368","contributors":{"authors":[{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":480455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":480454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70146643,"text":"70146643 - 2013 - 234U/238U and δ87Sr in peat as tracers of paleosalinity in the Sacramento-San Joaquin Delta of California, USA","interactions":[],"lastModifiedDate":"2015-04-22T15:29:15","indexId":"70146643","displayToPublicDate":"2013-01-01T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"234U/238U and δ87Sr in peat as tracers of paleosalinity in the Sacramento-San Joaquin Delta of California, USA","docAbstract":"<p>The purpose of this study was to determine the history of paleosalinity over the past 6000+ years in the Sacramento-San Joaquin Delta (the Delta), which is the innermost part of the San Francisco Estuary. We used a combination of Sr and U concentrations, d87Sr values, and 234U/238U activity ratios (AR) in peat as proxies for tracking paleosalinity. Peat cores were collected in marshes on Browns Island, Franks Wetland, and Bacon Channel Island in the Delta. Cores were dated using 137Cs, the onset of Pb and Hg contamination from hydraulic gold mining, and 14C. A proof of concept study showed that the dominant emergent macrophyte and major component of peat in the Delta, Schoenoplectus spp., incorporates Sr and U and that the isotopic composition of these elements tracks the ambient water salinity across the Estuary. Concentrations and isotopic compositions of Sr and U in the three main water sources contributing to the Delta (seawater, Sacramento River water, and San Joaquin River water) were used to construct a three-end-member mixing model. Delta paleosalinity was determined by examining variations in the distribution of peat samples through time within the area delineated by the mixing model. The Delta has long been considered a tidal freshwater marsh region, but only peat samples from Franks Wetland and Bacon Channel Island have shown a consistently fresh signal (&lt;0.5 ppt) through time. Therefore, the eastern Delta, which occurs upstream from Bacon Channel Island along the San Joaquin River and its tributaries, has also been fresh for this time period. Over the past 6000+ years, the salinity regime at the western boundary of the Delta (Browns Island) has alternated between fresh and oligohaline (0.5-5 ppt).</p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2013.10.011","usgsCitation":"Drexler, J., Paces, J.B., Alpers, C.N., Windham-Myers, L., Neymark, L., Bullen, T.D., and Taylor, H.E., 2013, 234U/238U and δ87Sr in peat as tracers of paleosalinity in the Sacramento-San Joaquin Delta of California, USA: Applied Geochemistry, v. 40, p. 164-179, https://doi.org/10.1016/j.apgeochem.2013.10.011.","productDescription":"16 p.","startPage":"164","endPage":"179","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033405","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299758,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2013.10.011"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8632698059082,\n              38.014017213644024\n            ],\n            [\n              -121.8632698059082,\n              38.07998712800633\n            ],\n            [\n              -121.77331924438477,\n              38.07998712800633\n            ],\n            [\n              -121.77331924438477,\n              38.014017213644024\n            ],\n            [\n              -121.8632698059082,\n              38.014017213644024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5536232de4b0b22a15807a77","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":1659,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","email":"jdrexler@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":545215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":545218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":545219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":545220,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048595,"text":"70048595 - 2013 - Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012","interactions":[],"lastModifiedDate":"2014-06-20T14:14:19","indexId":"70048595","displayToPublicDate":"2013-01-01T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/PACN/NRTR—2013/740","title":"Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012","docAbstract":"<p>Haleakalā National Park (HALE) was surveyed for landbirds and habitat characteristics from March 20 through July 26, 2012. This information provides data in the time-series of landbird monitoring for long-term trends in forest bird distribution, density, and abundance. The Kīpahulu District of eastern Haleakalā Volcano was surveyed using point-transect distance sampling to estimate bird abundance. We surveyed 160 stations and detected a total of 2,830 birds from 12 species. Half of the species were native and half were non-native. Numbers of detections per species ranged from 1 to 849. There were sufficient detections of seven species to allow density estimation. Āpapane (<i>Himatione sanguinea</i>) was the most widely distributed and abundant native species detected in the survey. ‘Alauahio (<i>Paroreomyza montana newtoni</i>), Maui ‘Amakihi (<i>Hemignathus virens wilsoni</i>), and I‘iwi (<i>Vestiaria coccinea</i>) were widespread and occurred in relatively modest densities. Only eight Kiwikiu (<i>Pseudonestor xanthophrys</i>) and 20 ‘Ākohekohe (<i>Palmeria dolei</i>) were detected and were restricted to high elevation wet forest. We estimated an abundance of 495 ± 261individuals of Kiwikiu in a 2,036 ha inference area which likely includes the entire suitable habitat for this species in HALE. For ‘Ākohekohe, we estimated an abundance of 1,150 ± 389 individuals in the 1,458 ha inference area. There was a strong representation of non-native landbirds in the survey area. The Japanese White-eye (<i>Zosterops japonicus</i>), Japanese Bush-warbler (<i>Cettia diphone</i>), and Red-billed Leiothrix (<i>Leiothrix lutea</i>) accounted for nearly half of all landbird detections. Each species was common in predominantly native forests.</p>\n<br/>\n<p>Vegetation and topographic characteristics were recorded on 160 landbird monitoring stations. HALE canopy and understory composition was predominantly native, especially at elevations above 1,100 m. Much of the forest canopy was comprised of `ohi`a (<i>Metrosideros polymorpha</i>) interspersed with mature olapa (<i>Cheirodendron platyphyllum</i>). This canopy class occurred at 92.5% of the stations surveyed. More than three-quarters (77.5%) of the monitoring stations had a dense canopy with most crowns interlocking (> 60% cover). More than half (52%) of the stations surveyed had trees taller than 10 m, while almost a third (31%) had trees 5-10 m. Only 17% of the stations had a canopy shorter than 5 m. The native shrubs <i>Vaccinium calycinum</i>, <i>Broussaisia arguta</i>, and <i>Leptecophylla tameiameae</i> were the most common understory plants recorded, occurring at more than 30% of the stations sampled. Native mosses and ferns were also common at stations, occurring at more than 90% of the stations sampled. The invasive <i>Psidium cattleainum</i>, <i>Clidemia hirta</i>, and <i>Hedychium gardnerianum</i> occurred at approximately 14% of the stations sampled, predominantly at elevations below 1,100 m.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Judge, S.W., Camp, R., and Hart, P., 2013, Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012: National Park Service Natural Resource Technical Report NPS/PACN/NRTR—2013/740, ix, 82 p.","productDescription":"ix, 82 p.","numberOfPages":"96","ipdsId":"IP-044651","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":279162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279174,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195246"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Haleakala National Park;Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.275743,20.586349 ], [ -156.275743,20.795098 ], [ -156.020951,20.795098 ], [ -156.020951,20.586349 ], [ -156.275743,20.586349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96b5e4b0c629af44ddd1","contributors":{"authors":[{"text":"Judge, Seth W.","contributorId":8718,"corporation":false,"usgs":true,"family":"Judge","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":485170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick J.","contributorId":79750,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick J.","affiliations":[],"preferred":false,"id":485171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70121475,"text":"70121475 - 2013 - Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","interactions":[],"lastModifiedDate":"2019-07-01T11:46:55","indexId":"70121475","displayToPublicDate":"2013-01-01T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","docAbstract":"<p><span>Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km</span><sup>2</sup><span>) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-011.1","usgsCitation":"Steyer, G.D., Couvillion, B.R., and Barras, J., 2013, Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices: Journal of Coastal Research, no. 63, p. 118-130, https://doi.org/10.2112/SI63-011.1.","productDescription":"13 p.","startPage":"118","endPage":"130","numberOfPages":"13","ipdsId":"IP-035355","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.5829 ], [ -88.8162,30.5829 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85975e4b03f038c5c1872","contributors":{"authors":[{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":499102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048567,"text":"70048567 - 2013 - Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States","interactions":[],"lastModifiedDate":"2013-10-24T09:35:11","indexId":"70048567","displayToPublicDate":"2013-01-01T09:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States","docAbstract":"Mercury (Hg) is a toxic metal that is found in aquatic food webs and is hazardous to human and wildlife health. We examined the relationship between Hg deposition, land coverage by coniferous and deciduous forests, and average Hg concentrations in largemouth bass (Micropterus salmoides)-equivalent fish (LMBE) in 14 ecoregions located within all or part of six states in the South Central U.S. In 11 ecoregions, the average Hg concentrations in 35.6-cm total length LMBE were above 300 ng/g, the threshold concentration of Hg recommended by the U.S. Environmental Protection Agency for the issuance of fish consumption advisories. Percent land coverage by coniferous forests within ecoregions had a significant linear relationship with average Hg concentrations in LMBE while percent land coverage by deciduous forests did not. Eighty percent of the variance in average Hg concentrations in LMBE between ecoregions could be accounted for by estimated Hg deposition after adjusting for the effects of coniferous forests. Here we show for the first time that fish from ecoregions with high atmospheric Hg pollution and coniferous forest coverage pose a significant hazard to human health. Our study suggests that models that use Hg deposition to predict Hg concentrations in fish could be improved by including the effects of coniferous forests on Hg deposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es303734n","usgsCitation":"Drenner, R.W., Chumchal, M.M., Jones, C.M., Lehmann, C.M., Gay, D., and Donato, D.I., 2013, Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States: Environmental Science & Technology, v. 47, no. 3, p. 1274-1279, https://doi.org/10.1021/es303734n.","productDescription":"6 p.","startPage":"1274","endPage":"1279","numberOfPages":"6","ipdsId":"IP-040449","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":278352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303734n"}],"country":"United States","state":"Arkansas;Louisiana;Mississippi;Oklahoma;Tennessee;Texas","otherGeospatial":"Arkansas Valley;Boston Mountains;Central Great Plainsl Cross Timbers;East Central Texas Plains;Mississippi Alluvial Plain;Mississippi Valley Loess Plains;Ozark Highlands;Ouachita Mountains;South Central Plains;Southeastern Plains;Southern Coastal Plain;Texas Blackland Prairies;Western Gulf Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.8,25.84 ], [ -100.8,36.96 ], [ -86.92,36.96 ], [ -86.92,25.84 ], [ -100.8,25.84 ] ] ] } } ] }","volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526a416fe4b0c0d229f9f66e","contributors":{"authors":[{"text":"Drenner, Ray W.","contributorId":46407,"corporation":false,"usgs":true,"family":"Drenner","given":"Ray","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chumchal, Matthew M.","contributorId":84659,"corporation":false,"usgs":true,"family":"Chumchal","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Christina M.","contributorId":104389,"corporation":false,"usgs":true,"family":"Jones","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehmann, Christopher M.B.","contributorId":84859,"corporation":false,"usgs":true,"family":"Lehmann","given":"Christopher","email":"","middleInitial":"M.B.","affiliations":[],"preferred":false,"id":485103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":485101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":485099,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193611,"text":"70193611 - 2013 - Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2017-11-02T13:37:27","indexId":"70193611","displayToPublicDate":"2013-01-01T00:00:00","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":"Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii","docAbstract":"<p><span>Eruptive activity at the summit of Kilauea Volcano, Hawaii, beginning in 2010 and continuing to the present time is characterized by transient outgassing bursts accompanied by very long period (VLP) seismic signals triggered by rockfalls from the vent walls impacting a lava lake in a pit within the Halemaumau pit crater. We use raw data recorded with an 11-station broadband network to model the source mechanism of signals accompanying two large rockfalls on 29 August 2012 and two smaller average rockfalls obtained by stacking over all events with similar waveforms to improve the signal-to-noise ratio. To determine the source centroid location and source mechanism, we minimize the residual error between data and synthetics calculated by the finite difference method for a point source embedded in a homogeneous medium that takes topography into account. We apply a new waveform inversion method that accounts for the contributions from both translation and tilt in horizontal seismograms through the use of Green's functions representing the seismometer response to translation and tilt ground motions. This method enables a robust description of the source mechanism over the period range 1–1000 s. The VLP signals associated with the rockfalls originate in a source region ∼1 km below the eastern perimeter of the Halemaumau pit crater. The observed waveforms are well explained by a simple volumetric source with geometry composed of two intersecting cracks including an east striking crack (dike) dipping 80° to the north, intersecting a north striking crack (another dike) dipping 65° to the east. Each rockfall is marked by a similar step-like inflation trailed by decaying oscillations of the volumetric source, attributed to the efficient coupling at the source centroid location of the pressure and momentum changes induced by the rock mass impacting the top of the lava column. Assuming a simple lumped parameter representation of the shallow magmatic system, the observed pressure and volume variations can be modeled with the following attributes: rockfall volume (200–4500 m</span><sup>3</sup><span>), length of magma column (120–210 m), diameter of pipe connecting the Halemaumau pit crater to the subjacent dike system (6 m), average thickness of the two underlying dikes (3–6 m), and effective magma viscosity (30–210 Pa s). Most rockfalls occur during episodes of sustained deflation of the Kilauea summit. The mass loss rate in the shallow magmatic system is estimated to be 1400–15,000 kg s</span><sup>−1</sup><span><span>&nbsp;</span>based on measurements of the temporal variation of VLP period in the two large rockfalls that occurred on 29 August 2012.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50376","usgsCitation":"Chouet, B.A., and Dawson, P.B., 2013, Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii: Journal of Geophysical Research B: Solid Earth, v. 118, no. 10, p. 5352-5371, https://doi.org/10.1002/jgrb.50376.","productDescription":"20 p.","startPage":"5352","endPage":"5371","ipdsId":"IP-051372","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50376","text":"Publisher Index Page"},{"id":348094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.36453247070312,\n              19.32539900916396\n            ],\n            [\n              -155.12832641601562,\n              19.32539900916396\n            ],\n            [\n              -155.12832641601562,\n              19.51578670986151\n            ],\n            [\n              -155.36453247070312,\n              19.51578670986151\n            ],\n            [\n              -155.36453247070312,\n              19.32539900916396\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fe9","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193798,"text":"70193798 - 2013 - Management guidelines for enhancing Cerulean Warbler breeding habitat in Appalachian hardwood forests","interactions":[],"lastModifiedDate":"2017-12-20T15:35:58","indexId":"70193798","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Management guidelines for enhancing Cerulean Warbler breeding habitat in Appalachian hardwood forests","docAbstract":"<p>The Cerulean Warbler (Setophaga cerulea) is a migratory songbird that breeds in mature deciduous forests of eastern North America. Cerulean Warblers (hereafter, ceruleans) require heavily forested landscapes for nesting and, within Appalachian forests, primarily occur on ridge tops and steep, upper slopes. They are generally associated with oakdominated (Quercus spp.) stands that contain gaps in the forest canopy, that have large diameter trees (&gt;16 inches diameter breast height (dbh)), and that have well-developed understory-and upper-canopy layers. Ceruleans primarily use the midand upper-canopy where they glean insects from the surface of leaves and conceal their open cup nests. Because they are severely declining across much of their range (Fig. 1), habitat management is a high priority. Management for this species can also improve conditions for a number of other wildlife species that depend on the same structure.</p>","language":"English","publisher":" American Bird Conservancy","usgsCitation":"Wood, P., Sheehan, J., Keyser, P.D., Buehler, D.A., Larkin, J., Rodewald, A.D., Stoleson, S.H., Wigley, T.B., Mizel, J., Boves, T.J., George, G., Bakermans, M.H., Beachy, T.A., Evans, A., McDermott, M., Newell, F.L., Perkins, K.A., and White, M., 2013, Management guidelines for enhancing Cerulean Warbler breeding habitat in Appalachian hardwood forests, iii, 25 p.","productDescription":"iii, 25 p.","numberOfPages":"29","ipdsId":"IP-041124","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Mountains","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254b4","contributors":{"authors":[{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":725292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":725293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keyser, Patrick D.","contributorId":146945,"corporation":false,"usgs":false,"family":"Keyser","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":725294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buehler, David A.","contributorId":176238,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":725295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larkin, Jeff","contributorId":199993,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":725296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodewald, Amanda D.","contributorId":169748,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":725297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stoleson, Scott H.","contributorId":98149,"corporation":false,"usgs":false,"family":"Stoleson","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":725298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":725299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mizel, Jeremy","contributorId":199994,"corporation":false,"usgs":false,"family":"Mizel","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":725300,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boves, Than J.","contributorId":169750,"corporation":false,"usgs":false,"family":"Boves","given":"Than","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725301,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"George, Greg","contributorId":201442,"corporation":false,"usgs":false,"family":"George","given":"Greg","email":"","affiliations":[],"preferred":false,"id":725302,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":725303,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Beachy, Tiffany A.","contributorId":169753,"corporation":false,"usgs":false,"family":"Beachy","given":"Tiffany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725304,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Evans, Andrea","contributorId":169754,"corporation":false,"usgs":false,"family":"Evans","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":725305,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McDermott, Molly E. 0000-0002-0000-0831","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":169743,"corporation":false,"usgs":false,"family":"McDermott","given":"Molly E.","affiliations":[],"preferred":false,"id":725306,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Newell, Felicity L.","contributorId":169755,"corporation":false,"usgs":false,"family":"Newell","given":"Felicity","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":725307,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Perkins, Kelly A.","contributorId":169756,"corporation":false,"usgs":false,"family":"Perkins","given":"Kelly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725308,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"White, Matt","contributorId":201443,"corporation":false,"usgs":false,"family":"White","given":"Matt","email":"","affiliations":[],"preferred":false,"id":725309,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70156807,"text":"70156807 - 2013 - Global climate change impacts on coastal ecosystems in the Gulf of Mexico: Considerations for integrated coastal management","interactions":[],"lastModifiedDate":"2022-11-08T17:44:55.184766","indexId":"70156807","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Global climate change impacts on coastal ecosystems in the Gulf of Mexico: Considerations for integrated coastal management","docAbstract":"<p><span>Global climate change is important in considerations of integrated coastal management in the Gulf of Mexico. This is true for a number of reasons. Climate in the Gulf spans the range from tropical to the lower part of the temperate zone. Thus, as climate warms, the tropical temperate interface, which is currently mostly offshore in the Gulf of Mexico, will increasingly move over the coastal zone of the northern and eastern parts of the Gulf. Currently, this interface is located in South Florida and around the US-Mexico border in the Texas-Tamaulipas region. Maintaining healthy coastal ecosystems is important because they will be more resistant to climate change.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gulf of Mexico origin, waters, and biota","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Texas A&M University Press","usgsCitation":"Day, J., Yanez-Arancibia, A., Cowan, J., Day, R.H., Twilley, R.R., and Rybczyk, J.R., 2013, Global climate change impacts on coastal ecosystems in the Gulf of Mexico: Considerations for integrated coastal management, chap. <i>of</i> Gulf of Mexico origin, waters, and biota, v. 4.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":307676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": 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0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":570609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":570610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rybczyk, John R.","contributorId":55729,"corporation":false,"usgs":true,"family":"Rybczyk","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":570611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70154988,"text":"70154988 - 2013 - Spring migratory pathways and migration chronology of Canada geese (<i>Branta canadensis interior</i>) wintering at the Santee National Wildlife Refuge, South Carolina","interactions":[],"lastModifiedDate":"2020-12-23T14:14:31.829768","indexId":"70154988","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spring migratory pathways and migration chronology of Canada geese (<i>Branta canadensis interior</i>) wintering at the Santee National Wildlife Refuge, South Carolina","docAbstract":"<p><span>We assessed the migratory pathways, migration chronology, and breeding ground affiliation of Canada Geese (</span><i>Branta canadensis interior</i><span>) that winter in and adjacent to the Santee National Wildlife Refuge in Summerton, South Carolina, United States. Satellite transmitters were fitted to eight Canada Geese at Santee National Wildlife Refuge during the winter of 2009–2010. Canada Geese departed Santee National Wildlife Refuge between 5 and 7 March 2010. Six Canada Geese followed a route that included stopovers in northeastern North Carolina and western New York, with three of those birds completing spring migration to breeding grounds associated with the Atlantic Population (AP). The mean distance between stopover sites along this route was 417 km, the mean total migration distance was 2838 km, and the Canada Geese arrived on AP breeding grounds on the eastern shore of Hudson Bay between 20 and 24 May 2010. Two Canada Geese followed a different route from that described above, with stopovers in northeastern Ohio, prior to arriving on the breeding grounds on 9 June 2010. Mean distance between stopover sites was 402 and 365 km for these two birds, and total migration distance was 4020 and 3650 km. These data represent the first efforts to track migratory Canada Geese from the southernmost extent of their current wintering range in the Atlantic Flyway. We did not track any Canada Geese to breeding grounds associated with the Southern James Bay Population. Caution should be used in the interpretation of this finding, however, because of the small sample size. We demonstrated that migratory Canada Geese wintering in South Carolina use at least two migratory pathways and that an affiliation with the Atlantic Population breeding ground exists.</span></p>","language":"English","publisher":"The Canadian Field-Naturalist","doi":"10.22621/cfn.v127i1.1402","usgsCitation":"Giles, M.M., Jodice, P.G., Baldwin, R.F., Stanton, J.D., and Epstein, M., 2013, Spring migratory pathways and migration chronology of Canada geese (<i>Branta canadensis interior</i>) wintering at the Santee National Wildlife Refuge, South Carolina: Canadian Field-Naturalist, v. 127, no. 1, p. 17-25, https://doi.org/10.22621/cfn.v127i1.1402.","productDescription":"9 p.","startPage":"17","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038246","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v127i1.1402","text":"Publisher Index Page"},{"id":381611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Santee National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.53665161132812,\n              33.4738357141558\n            ],\n            [\n              -80.53665161132812,\n              33.56199537293026\n            ],\n            [\n              -80.4473876953125,\n              33.56199537293026\n            ],\n            [\n              -80.4473876953125,\n              33.4738357141558\n            ],\n            [\n              -80.53665161132812,\n              33.4738357141558\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"127","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-14","publicationStatus":"PW","scienceBaseUri":"55b0beafe4b09a3b01b530a5","contributors":{"authors":[{"text":"Giles, Molly M.","contributorId":145797,"corporation":false,"usgs":false,"family":"Giles","given":"Molly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Robert F.","contributorId":96415,"corporation":false,"usgs":true,"family":"Baldwin","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":565332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, John D.","contributorId":145798,"corporation":false,"usgs":false,"family":"Stanton","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":565333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Epstein, Marc","contributorId":145799,"corporation":false,"usgs":false,"family":"Epstein","given":"Marc","email":"","affiliations":[],"preferred":false,"id":565334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148399,"text":"70148399 - 2013 - Galveston Bay: Chapter D in <i>Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010</i>","interactions":[],"lastModifiedDate":"2018-08-19T13:56:45","indexId":"70148399","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"D","title":"Galveston Bay: Chapter D in <i>Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010</i>","docAbstract":"<p>The Galveston Bay estuary is located on the upper Texas Gulf coast (Lester and Gonzalez, 2002). It is composed of four major sub-bays - Galveston, Trinity, East, and West Bays. It is Texas’ largest estuary on the Gulf Coast with a total area of 155,399 hectares (384,000 acres) and 1,885 km (1,171 miles) of shoreline (Burgan and Engle, 2006). The volume of the bay has increased over the past 50 years due to subsidence, dredging, and sea level rise. Outside of ship channels, the maximum depth is only 3.7 m (12 ft), with the average depth ranging from 1.2 m (4 ft) to 2.4 m (8 ft) - even shallower in areas with widespread oyster reefs (Lester and Gonzalez, 2002). The tidal range is less than 0.9 m (3 ft), but water levels and circulation are highly influenced by wind. The estuary was formed in a drowned river delta, and its bayous were once channels of the Brazos and Trinity Rivers. Today, the watersheds surrounding the Trinity and San Jacinto Rivers, along with many other smaller bayous, feed into the bay. The entire Galveston Bay watershed is 85,470 km<sup>2</sup> (33,000 miles<sup>2</sup>) large (Figure 1). Galveston Island, a 5,000 year old sand bar that lies at the western edge of the bay’s opening into the Gulf of Mexico, impedes the freshwater flow of the Trinity and San Jacinto Rivers into the Gulf, the majority of which comes from the Trinity. The Bolivar Peninsula lies at the eastern edge of the bay’s opening into the Gulf. Water flows into the Gulf at Bolivar Roads, 1 U.S. Geological Survey National Wetlands Research Center, 700 Cajundome Blvd., Lafayette, LA 70506 2 Harte Research Institute for Gulf of Mexico Studies, Texas A&amp;M University - Corpus Christi, 6300 Ocean Drive, Unit 5869, Corpus Christi, Texas 78412 2 Galveston Pass, between Galveston Island and Bolivar Peninsula, and at San Luis Pass, between the western side of Galveston Island and Follets Island.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"2013 Gulf of Mexico Alliance (GOMA) All Hands Meeting","conferenceDate":"June 25-27, 2013","conferenceLocation":"Tampa, FL","language":"English","publisher":"U.S. Geological Survey and U.S. Environmental Protection Agency","usgsCitation":"Handley, L.R., Spear, K.A., Taylor, E., and Thatcher, C.A., 2013, Galveston Bay: Chapter D in <i>Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010</i>, 17 p. .","productDescription":"17 p. ","ipdsId":"IP-061431","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":332174,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gom.usgs.gov/web/Site/EmWetStatusTrends"},{"id":332175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Galveston Bay ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.7845458984375,\n              30.56699087315334\n            ],\n            [\n              -95.712890625,\n              30.206861065952626\n            ],\n            [\n              -96.185302734375,\n              30.021543509740027\n            ],\n            [\n              -96.4654541015625,\n              29.897805610155874\n            ],\n            [\n              -95.3887939453125,\n              28.839861937967964\n            ],\n            [\n              -94.3231201171875,\n              29.530450107491063\n            ],\n            [\n              -94.273681640625,\n              29.57345707301757\n            ],\n            [\n              -94.7845458984375,\n              30.56699087315334\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba46e4b0e2663625f2d4","contributors":{"authors":[{"text":"Handley, Lawrence R. handleyl@usgs.gov","contributorId":3459,"corporation":false,"usgs":true,"family":"Handley","given":"Lawrence","email":"handleyl@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":547994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Kathryn A. 0000-0001-8942-2856 speark@usgs.gov","orcid":"https://orcid.org/0000-0001-8942-2856","contributorId":1949,"corporation":false,"usgs":true,"family":"Spear","given":"Kathryn","email":"speark@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":547993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Eleonor","contributorId":140514,"corporation":false,"usgs":false,"family":"Taylor","given":"Eleonor","email":"","affiliations":[{"id":13521,"text":"Harte Research Institute for Gulf of Mexico Studies, Texas A&M University-Corpus Christi","active":true,"usgs":false}],"preferred":false,"id":547995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":547996,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70136386,"text":"70136386 - 2013 - Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model","interactions":[],"lastModifiedDate":"2015-01-05T09:46:02","indexId":"70136386","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model","docAbstract":"<p><span>Winter cover crops are an effective conservation management practice with potential to improve water quality. Throughout the Chesapeake Bay Watershed (CBW), which is located in the Mid-Atlantic US, winter cover crop use has been emphasized and federal and state cost-share programs are available to farmers to subsidize the cost of winter cover crop establishment. The objective of this study was to assess the long-term effect of planting winter cover crops at the watershed scale and to identify critical source areas of high nitrate export. A physically-based watershed simulation model, Soil and Water Assessment Tool (SWAT), was calibrated and validated using water quality monitoring data and satellite-based estimates of winter cover crop species performance to simulate hydrological processes and nutrient cycling over the period of 1991&ndash;2000. Multiple scenarios were developed to obtain baseline information on nitrate loading without winter cover crops planted and to investigate how nitrate loading could change with different winter cover crop planting scenarios, including different species, planting times, and implementation areas. The results indicate that winter cover crops had a negligible impact on water budget, but significantly reduced nitrate leaching to groundwater and delivery to the waterways. Without winter cover crops, annual nitrate loading was approximately 14 kg ha</span><sup>&minus;1</sup><span>, but it decreased to 4.6&ndash;10.1 kg ha</span><sup>&minus;1</sup><span>&nbsp;with winter cover crops resulting in a reduction rate of 27&ndash;67% at the watershed scale. Rye was most effective, with a potential to reduce nitrate leaching by up to 93% with early planting at the field scale. Early planting of winter cover crops (~30 days of additional growing days) was crucial, as it lowered nitrate export by an additional ~2 kg ha</span><sup>&minus;1</sup><span>&nbsp;when compared to late planting scenarios. The effectiveness of cover cropping increased with increasing extent of winter cover crop implementation. Agricultural fields with well-drained soils and those that were more frequently used to grow corn had a higher potential for nitrate leaching and export to the waterways. This study supports the effective implement of winter cover crop programs, in part by helping to target critical pollution source areas for winter cover crop implementation.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-10-14229-2013","collaboration":"Department of Geographical Sciences, University of Maryland, College Park, MD; USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD; Dream it Do it Western New York, Jamestown, NY; USDA Forest Service, Northern Research Station, Beltsville, MD","usgsCitation":"Yeo, I., Lee, S., Sadeghi, A.M., Beeson, P.C., Hively, W., McCarty, G.W., and Lang, M.W., 2013, Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model: Hydrology and Earth System Sciences, v. 10, no. 11, p. 14229-14263, https://doi.org/10.5194/hessd-10-14229-2013.","productDescription":"35 p.","startPage":"14229","endPage":"14263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056041","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-10-14229-2013","text":"Publisher Index Page"},{"id":296981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay Watershed","volume":"10","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b3ce4b08de9379b32bf","contributors":{"authors":[{"text":"Yeo, In-Young","contributorId":131145,"corporation":false,"usgs":false,"family":"Yeo","given":"In-Young","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":537473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Sangchui","contributorId":131146,"corporation":false,"usgs":false,"family":"Lee","given":"Sangchui","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":537474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadeghi, Ali M.","contributorId":131147,"corporation":false,"usgs":false,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeson, Peter C.","contributorId":131148,"corporation":false,"usgs":false,"family":"Beeson","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":7263,"text":"Dream it Do it Western New York, Jamestown, NY 14701","active":true,"usgs":false}],"preferred":false,"id":537476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hively, W. Dean whively@usgs.gov","contributorId":4919,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","email":"whively@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":537472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan W.","contributorId":131150,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537478,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192591,"text":"70192591 - 2013 - 100,000-year-long terrestrial record of millennial-scale linkage between eastern North American mid-latitude paleovegetation shifts and Greenland ice-core oxygen isotope trends","interactions":[],"lastModifiedDate":"2017-10-26T22:13:15","indexId":"70192591","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"100,000-year-long terrestrial record of millennial-scale linkage between eastern North American mid-latitude paleovegetation shifts and Greenland ice-core oxygen isotope trends","docAbstract":"<p>We document frequent, rapid, strong, millennial-scale paleovegetation shifts throughout the late Pleistocene, within a 100,000+ yr interval (~ 115–15 ka) of terrestrial sediments from the mid-Atlantic Region (MAR) of North America. High-resolution analyses of fossil pollen from one core locality revealed a continuously shifting sequence of thermally dependent forest assemblages, ranging between two endmembers: subtropical oak-tupelo-bald cypress-gum forest and high boreal spruce-pine forest. Sedimentary textural evidence indicates fluvial, paludal, and loess deposition, and paleosol formation, representing sequential freshwater to subaerial environments in which this record was deposited. Its total age\"depth model, based on radiocarbon and optically stimulated luminescence ages, ranges from terrestrial oxygen isotope stages (OIS) 6 to 1. The particular core sub-interval presented here is correlative in trend and timing to that portion of the oxygen isotope sequence common among several Greenland ice cores: interstades GI2 to GI24 (≈ OIS2–5 d). This site thus provides the first evidence for an essentially complete series of \"Dansgaard\"Oeschger\" climate events in the MAR. These data reveal that the ~ 100,000 yr preceding the Late Glacial and Holocene in the MAR of North America were characterized by frequently and dynamically changing climate states, and by vegetation shifts that closely tracked the Greenland paleoclimate sequence.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2013.05.003","usgsCitation":"Litwin, R.J., Smoot, J.P., Pavich, M.J., Markewich, H.W., Brook, G., and Durika, N.J., 2013, 100,000-year-long terrestrial record of millennial-scale linkage between eastern North American mid-latitude paleovegetation shifts and Greenland ice-core oxygen isotope trends: Quaternary Research, v. 80, no. 2, p. 291-315, https://doi.org/10.1016/j.yqres.2013.05.003.","productDescription":"25 p.","startPage":"291","endPage":"315","ipdsId":"IP-039550","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5a07ef4ae4b09af898c8cd89","contributors":{"authors":[{"text":"Litwin, Ronald J. 0000-0002-8661-1296 rlitwin@usgs.gov","orcid":"https://orcid.org/0000-0002-8661-1296","contributorId":2478,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","email":"rlitwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoot, Joseph P. 0000-0002-5064-8070 jpsmoot@usgs.gov","orcid":"https://orcid.org/0000-0002-5064-8070","contributorId":2742,"corporation":false,"usgs":true,"family":"Smoot","given":"Joseph","email":"jpsmoot@usgs.gov","middleInitial":"P.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markewich, Helaine W. 0000-0001-9656-3243 helainem@usgs.gov","orcid":"https://orcid.org/0000-0001-9656-3243","contributorId":2008,"corporation":false,"usgs":true,"family":"Markewich","given":"Helaine","email":"helainem@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brook, George","contributorId":198579,"corporation":false,"usgs":false,"family":"Brook","given":"George","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":716475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durika, Nancy J. 0000-0001-7448-8908 ndurika@usgs.gov","orcid":"https://orcid.org/0000-0001-7448-8908","contributorId":4439,"corporation":false,"usgs":true,"family":"Durika","given":"Nancy","email":"ndurika@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":true,"id":716473,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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