The Nipissing phase was the last pre-modern high-water stage of the upper Great Lakes. Represented as either a one- or two-peak highstand, the Nipissing occurred following a long-term lake-level rise. This transgression was primarily an erosional event with only the final stage of the transgression preserved as barriers, spits, and strandplains of beach ridges. South of Alpena, Michigan, mid to late Holocene coastal deposits occur as a strandplain between Devils Lake and Lake Huron. The landward part of this strandplain is a higher elevation platform that formed during the final stage of lake-level rise to the Nipissing peak. The pre-Nipissing shoreline transgressed over Devils Lake lagoonal deposits from 6.4 to 6.1 ka. The first beach ridge formed ~ 6 ka, and then the shoreline advanced toward Lake Huron, producing beach ridges about every 70 years. This depositional regression produced a slightly thickening wedge of sediment during a lake-level rise that formed 20 beach ridges. The rise ended at 4.5 ka at the Nipissing peak. This peak was short-lived, as lake level fell > 4 m during the following 500 years. During this lake-level rise and subsequent fall, the shoreline underwent several forms of shoreline behavior, including erosional transgression, aggradation, depositional transgression, depositional regression, and forced regression. Other upper Great Lakes Nipissing platforms indicate that the lake-level change observed at Alpena of a rapid pre-Nipissing lake-level rise followed by a slower rise to the Nipissing peak, and a post-Nipissing rapid lake-level fall is representative of mid Holocene lake level in the upper Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2011.05.012","issn":"03801330","usgsCitation":"Thompson, T., Lepper, K., Endres, A., Johnston, J., Baedke, S., Argyilan, E., Booth, R., and Wilcox, D., 2011, Mid Holocene lake level and shoreline behavior during the Nipissing phase of the upper Great Lakes at Alpena, Michigan, USA: Journal of Great Lakes Research, v. 37, no. 3, p. 567-576, https://doi.org/10.1016/j.jglr.2011.05.012.","productDescription":"10 p.","startPage":"567","endPage":"576","costCenters":[],"links":[{"id":243630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215804,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.05.012"}],"country":"United States","state":"Michigan","city":"Alpena","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.5455322265625,\n 44.820812031724444\n ],\n [\n -83.2598876953125,\n 44.820812031724444\n ],\n [\n -83.2598876953125,\n 45.1394300814679\n ],\n [\n -83.5455322265625,\n 45.1394300814679\n ],\n [\n -83.5455322265625,\n 44.820812031724444\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a56b1e4b0c8380cd6d763","contributors":{"authors":[{"text":"Thompson, T.A.","contributorId":73226,"corporation":false,"usgs":true,"family":"Thompson","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":446627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lepper, K.","contributorId":81284,"corporation":false,"usgs":true,"family":"Lepper","given":"K.","email":"","affiliations":[],"preferred":false,"id":446628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Endres, A.L.","contributorId":71025,"corporation":false,"usgs":true,"family":"Endres","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":446626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, J.W.","contributorId":67260,"corporation":false,"usgs":true,"family":"Johnston","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baedke, S.J.","contributorId":14585,"corporation":false,"usgs":true,"family":"Baedke","given":"S.J.","affiliations":[],"preferred":false,"id":446622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Argyilan, E.P.","contributorId":11822,"corporation":false,"usgs":true,"family":"Argyilan","given":"E.P.","affiliations":[],"preferred":false,"id":446621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Booth, R.K.","contributorId":47122,"corporation":false,"usgs":true,"family":"Booth","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":446623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilcox, D.A.","contributorId":55382,"corporation":false,"usgs":true,"family":"Wilcox","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":446624,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034753,"text":"70034753 - 2011 - Evaluating impacts of subdivision density on shallow groundwater in Southeastern Wisconsin, USA","interactions":[],"lastModifiedDate":"2021-03-15T20:23:07.895811","indexId":"70034753","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2261,"text":"Journal of Environmental Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating impacts of subdivision density on shallow groundwater in Southeastern Wisconsin, USA","docAbstract":"Using simple numerical groundwater flow models, we tested the impacts of suburban developments on groundwater levels and discharge to streams. We used lot sizes of 1, 3 and 5 acres (4000, 12,000 and 20,000 m2) with one domestic well per lot that pumped water from shallow aquifers. Our modelling showed that pumping had little impact on water levels and groundwater discharge to streams if the developed area is of a moderate size. However, domestic wells had the potential to impact local groundwater levels and baseflows in large developments. In township-wide development scenarios of 1-acre (4000 m2) lots, simulated drawdowns beneath developed areas ranged from 1 to 18 ft (0.3 to 5.5 m), and baseflow reductions ranged from 20 to 40%. Impacts generally were inversely proportional to lot size, recharge rate and hydraulic conductivity of the aquifer materials. Developments using individual domestic wells have the potential to impact local groundwater levels and surface water features. The impacts can range from negligible to severe, depending on local hydrogeologic conditions and on whether wastewater is recharged onsite or is removed from the basin. An assessment of groundwater impacts should be a part of the planning process for all suburban developments.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/09640568.2010.524358","issn":"09640568","usgsCitation":"Rayne, T., and Bradbury, K.R., 2011, Evaluating impacts of subdivision density on shallow groundwater in Southeastern Wisconsin, USA: Journal of Environmental Planning and Management, v. 54, no. 5, p. 559-575, https://doi.org/10.1080/09640568.2010.524358.","productDescription":"17 p.","startPage":"559","endPage":"575","costCenters":[],"links":[{"id":243386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215573,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/09640568.2010.524358"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Southeastern Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.8082275390625,\n 42.49640294093705\n ],\n [\n -87.81372070312499,\n 42.61779143282346\n ],\n [\n -87.7532958984375,\n 42.69858589169842\n ],\n [\n -87.7532958984375,\n 42.783307077249624\n ],\n [\n -87.8302001953125,\n 42.91218338638015\n ],\n [\n -87.8466796875,\n 42.99259451971113\n ],\n [\n -87.857666015625,\n 43.04480541304369\n ],\n [\n -87.879638671875,\n 43.201171681272456\n ],\n [\n -87.86865234374999,\n 43.34914966389313\n ],\n [\n -87.7587890625,\n 43.628123412124616\n ],\n [\n -88.6541748046875,\n 43.636075155965784\n ],\n [\n -88.6541748046875,\n 43.337164854911094\n ],\n [\n -88.65966796875,\n 42.49640294093705\n ],\n [\n -87.8082275390625,\n 42.49640294093705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0be7e4b0c8380cd52928","contributors":{"authors":[{"text":"Rayne, T.W.","contributorId":86582,"corporation":false,"usgs":true,"family":"Rayne","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":447424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, K. R.","contributorId":86070,"corporation":false,"usgs":true,"family":"Bradbury","given":"K.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":447423,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034932,"text":"70034932 - 2011 - Enhancement of long period components of recorded and synthetic ground motions using InSAR","interactions":[],"lastModifiedDate":"2021-03-08T19:45:19.604672","indexId":"70034932","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Enhancement of long period components of recorded and synthetic ground motions using InSAR","docAbstract":"Tall buildings and flexible structures require a better characterization of long period ground motion spectra than the one provided by current seismic building codes. Motivated by that, a methodology is proposed and tested to improve recorded and synthetic ground motions which are consistent with the observed co-seismic displacement field obtained from interferometric synthetic aperture radar (InSAR) analysis of image data for the Tocopilla 2007 earthquake (Mw=7.7) in Northern Chile. A methodology is proposed to correct the observed motions such that, after double integration, they are coherent with the local value of the residual displacement. Synthetic records are generated by using a stochastic finite-fault model coupled with a long period pulse to capture the long period fling effect.
It is observed that the proposed co-seismic correction yields records with more accurate long-period spectral components as compared with regular correction schemes such as acausal filtering. These signals provide an estimate for the velocity and displacement spectra, which are essential for tall-building design. Furthermore, hints are provided as to the shape of long-period spectra for seismic zones prone to large co-seismic displacements such as the Nazca-South American zone.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2011.01.005","issn":"02677261","usgsCitation":"Abell, J., Carlos de la Llera, J., and Wicks, C.W., 2011, Enhancement of long period components of recorded and synthetic ground motions using InSAR: Soil Dynamics and Earthquake Engineering, v. 31, no. 5-6, p. 817-829, https://doi.org/10.1016/j.soildyn.2011.01.005.","productDescription":"13 p.","startPage":"817","endPage":"829","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489010,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3298447","text":"External Repository"},{"id":243776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215939,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soildyn.2011.01.005"}],"country":"Chile","otherGeospatial":"Tocopilla","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.224365234375,\n -24.226928664976363\n ],\n [\n -68.631591796875,\n -24.226928664976363\n ],\n [\n -68.631591796875,\n -20.910134481692673\n ],\n [\n -71.224365234375,\n -20.910134481692673\n ],\n [\n -71.224365234375,\n -24.226928664976363\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"5-6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0973e4b0c8380cd51f0a","contributors":{"authors":[{"text":"Abell, J.A.","contributorId":30068,"corporation":false,"usgs":true,"family":"Abell","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlos de la Llera, J.","contributorId":94521,"corporation":false,"usgs":true,"family":"Carlos de la Llera","given":"J.","email":"","affiliations":[],"preferred":false,"id":448385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":448383,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034934,"text":"70034934 - 2011 - Study design and sampling intensity for demographic analyses of bear populations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:42","indexId":"70034934","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Study design and sampling intensity for demographic analyses of bear populations","docAbstract":"The rate of population change through time (??) is a fundamental element of a wildlife population's conservation status, yet estimating it with acceptable precision for bears is difficult. For studies that follow known (usually marked) bears, ?? can be estimated during some defined time by applying either life-table or matrix projection methods to estimates of individual vital rates. Usually however, confidence intervals surrounding the estimate are broader than one would like. Using an estimator suggested by Doak et al. (2005), we explored the precision to be expected in ?? from demographic analyses of typical grizzly (Ursus arctos) and American black (U. americanus) bear data sets. We also evaluated some trade-offs among vital rates in sampling strategies. Confidence intervals around ?? were more sensitive to adding to the duration of a short (e.g., 3 yrs) than a long (e.g., 10 yrs) study, and more sensitive to adding additional bears to studies with small (e.g., 10 adult females/yr) than large (e.g., 30 adult females/yr) sample sizes. Confidence intervals of ?? projected using process-only variance of vital rates were only slightly smaller than those projected using total variances of vital rates. Under sampling constraints typical of most bear studies, it may be more efficient to invest additional resources into monitoring recruitment and juvenile survival rates of females already a part of the study, than to simply increase the sample size of study females. ?? 2011 International Association for Bear Research and Management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2192/URSUS-D-10-00028.1","issn":"15376176","usgsCitation":"Harris, R., Schwartz, C., Mace, R., and Haroldson, M., 2011, Study design and sampling intensity for demographic analyses of bear populations: Ursus, v. 22, no. 1, p. 24-36, https://doi.org/10.2192/URSUS-D-10-00028.1.","startPage":"24","endPage":"36","numberOfPages":"13","costCenters":[],"links":[{"id":215970,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-10-00028.1"},{"id":243807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ccde4b08c986b31d4c6","contributors":{"authors":[{"text":"Harris, R.B.","contributorId":102271,"corporation":false,"usgs":true,"family":"Harris","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":448388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, C.C.","contributorId":33658,"corporation":false,"usgs":true,"family":"Schwartz","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":448387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mace, R.D.","contributorId":103881,"corporation":false,"usgs":true,"family":"Mace","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":448389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, M.A. 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":108047,"corporation":false,"usgs":true,"family":"Haroldson","given":"M.A.","affiliations":[],"preferred":false,"id":448390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035088,"text":"70035088 - 2011 - Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron","interactions":[],"lastModifiedDate":"2018-05-02T21:30:12","indexId":"70035088","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron","docAbstract":"Iron is an essential micronutrient that limits primary productivity in much of the ocean, including the Gulf of Alaska (GoA). However, the processes that transport iron to the ocean surface are poorly quantified. We combine satellite and meteorological data to provide the first description of widespread dust transport from coastal Alaska into the GoA. Dust is frequently transported from glacially-derived sediment at the mouths of several rivers, the most prominent of which is the Copper River. These dust events occur most frequently in autumn, when coastal river levels are low and riverbed sediments are exposed. The dust plumes are transported several hundred kilometers beyond the continental shelf into iron-limited waters. We estimate the mass of dust transported from the Copper River valley during one 2006 dust event to be between 25–80 ktons. Based on conservative estimates, this equates to a soluble iron loading of 30–200 tons. We suggest the soluble Fe flux from dust originating in glaciofluvial sediment deposits from the entire GoA coastline is two to three times larger, and is comparable to the annual Fe flux to GoA surface waters from eddies of coastal origin. Given that glaciers are retreating in the coastal GoA region and in other locations, it is important to examine whether fluxes of dust are increasing from glacierized landscapes to the ocean, and to assess the impact of associated Fe on marine ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2010GL046573","issn":"00948276","usgsCitation":"Crusius, J., Schroth, A., Gasso, S., Moy, C., Levy, R., and Gatica, M., 2011, Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron: Geophysical Research Letters, v. 38, no. 6, L06602, https://doi.org/10.1029/2010GL046573.","productDescription":"L06602","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487246,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046573","text":"Publisher Index Page"},{"id":243288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215480,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL046573"}],"otherGeospatial":"Gulf Of Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -170.5,47.0 ], [ -170.5,61.7 ], [ -123.6,61.7 ], [ -123.6,47.0 ], [ -170.5,47.0 ] ] ] } } ] }","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-03-18","publicationStatus":"PW","scienceBaseUri":"505a2901e4b0c8380cd5a5dc","contributors":{"authors":[{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":449237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroth, A.W.","contributorId":79707,"corporation":false,"usgs":true,"family":"Schroth","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":449238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gasso, S.","contributorId":28447,"corporation":false,"usgs":true,"family":"Gasso","given":"S.","affiliations":[],"preferred":false,"id":449236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moy, C.M.","contributorId":81328,"corporation":false,"usgs":true,"family":"Moy","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":449239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levy, R.C.","contributorId":11435,"corporation":false,"usgs":true,"family":"Levy","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":449234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gatica, M.","contributorId":24191,"corporation":false,"usgs":true,"family":"Gatica","given":"M.","affiliations":[],"preferred":false,"id":449235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035119,"text":"70035119 - 2011 - Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data","interactions":[],"lastModifiedDate":"2013-03-18T13:20:59","indexId":"70035119","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data","docAbstract":"LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applications. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field information to generate detailed vegetation type and structure data sets for the entire United States. In order to keep these data sets current and relevant to resource managers, there was strong need to develop an approach for updating these products. We are using three different approaches for these purposes. These include: 1) updating using Landsat-derived historic and current fire burn information derived from the Monitoring Trends in Burn Severity project; 2) incorporating vegetation disturbance information derived from time series Landsat data analysis using the Vegetation Change Tracker; and 3) developing data products that capture subtle intra-state disturbance such as those related to insects and disease using either Landsat or the Moderate Resolution Imaging Spectroradiometer (MODIS). While no one single approach provides all of the land cover change and update information required, we believe that a combination of all three captures most of the disturbance conditions taking place that have relevance to the fire community.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Electrical and Electronics Engineers","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2010.2044478","usgsCitation":"Vogelmann, J., Kost, J.R., Tolk, B., Howard, S.M., Short, K., Chen, X., Huang, C., Pabst, K., and Rollins, M.G., 2011, Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 4, no. 2, p. 252-264, https://doi.org/10.1109/JSTARS.2010.2044478.","startPage":"252","endPage":"264","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475055,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.2217","text":"External Repository"},{"id":215417,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2010.2044478"},{"id":243223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dbae4b0c8380cd7056f","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":449369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kost, Jay R. jkost@usgs.gov","contributorId":3931,"corporation":false,"usgs":true,"family":"Kost","given":"Jay","email":"jkost@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":449371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":62426,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","affiliations":[],"preferred":false,"id":449377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":449370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Short, Karen","contributorId":33940,"corporation":false,"usgs":true,"family":"Short","given":"Karen","affiliations":[],"preferred":false,"id":449375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":449373,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":449374,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pabst, Kari","contributorId":12284,"corporation":false,"usgs":true,"family":"Pabst","given":"Kari","email":"","affiliations":[],"preferred":false,"id":449372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rollins, Matthew G.","contributorId":54695,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449376,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70035175,"text":"70035175 - 2011 - Why do some, but not all, tropical birds migrate? A comparative study of diet breadth and fruit preference","interactions":[],"lastModifiedDate":"2021-02-26T13:06:10.869905","indexId":"70035175","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1603,"text":"Evolutionary Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Why do some, but not all, tropical birds migrate? A comparative study of diet breadth and fruit preference","docAbstract":"Annual migrations of birds profoundly influence terrestrial communities. However, few empirical studies examine why birds migrate, in part due to the difficulty of testing causal hypotheses in long-distance migration systems. Short-distance altitudinal migrations provide relatively tractable systems in which to test explanations for migration. Many past studies explain tropical altitudinal migration as a response to spatial and temporal variation in fruit availability. Yet this hypothesis fails to explain why some coexisting, closely-related frugivorous birds remain resident year-round. We take a mechanistic approach by proposing and evaluating two hypotheses (one based on competitive exclusion and the other based on differences in dietary specialization) to explain why some, but not all, tropical frugivores migrate. We tested predictions of these hypotheses by comparing diets, fruit preferences, and the relationships between diet and preference in closely-related pairs of migrant and resident species. Fecal samples and experimental choice trials revealed that sympatric migrants and residents differed in both their diets and fruit preferences. Migrants consumed a greater diversity of fruits and fewer arthropods than did their resident counterparts. Migrants also tended to have slightly stronger fruit preferences than residents. Most critically, diets of migrants more closely matched their preferences than did the diets of residents. These results suggest that migrants may be competitively superior foragers for fruit compared to residents (rather than vice versa), implying that current competitive interactions are unlikely to explain variation in migratory behavior among coexisting frugivores. We found some support for the dietary specialization hypothesis, propose refinements to the mechanism underlying this hypothesis, and discuss how dietary specialization might ultimately reflect past interspecific competition. We recommend that future studies quantify variation in nutritional content of tropical fruits, and determine whether frugivory is a consequence or a cause of migratory behaviour.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10682-010-9403-4","issn":"02697653","usgsCitation":"Boyle, W., Conway, C.J., and Bronstein, J.L., 2011, Why do some, but not all, tropical birds migrate? A comparative study of diet breadth and fruit preference: Evolutionary Ecology, v. 25, no. 1, p. 219-236, https://doi.org/10.1007/s10682-010-9403-4.","productDescription":"18 p.","startPage":"219","endPage":"236","ipdsId":"IP-019206","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":243128,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-13","publicationStatus":"PW","scienceBaseUri":"505bd0a0e4b08c986b32ef81","contributors":{"authors":[{"text":"Boyle, W.A.","contributorId":101905,"corporation":false,"usgs":true,"family":"Boyle","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":449597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":449595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bronstein, Judith L.","contributorId":66084,"corporation":false,"usgs":true,"family":"Bronstein","given":"Judith","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":449596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035325,"text":"70035325 - 2011 - Generalized bootstrap method for assessment of uncertainty in semivariogram inference","interactions":[],"lastModifiedDate":"2018-09-20T15:28:47","indexId":"70035325","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Generalized bootstrap method for assessment of uncertainty in semivariogram inference","docAbstract":"The semivariogram and its related function, the covariance, play a central role in classical geostatistics for modeling the average continuity of spatially correlated attributes. Whereas all methods are formulated in terms of the true semivariogram, in practice what can be used are estimated semivariograms and models based on samples. A generalized form of the bootstrap method to properly model spatially correlated data is used to advance knowledge about the reliability of empirical semivariograms and semivariogram models based on a single sample. Among several methods available to generate spatially correlated resamples, we selected a method based on the LU decomposition and used several examples to illustrate the approach. The first one is a synthetic, isotropic, exhaustive sample following a normal distribution, the second example is also a synthetic but following a non-Gaussian random field, and a third empirical sample consists of actual raingauge measurements. Results show wider confidence intervals than those found previously by others with inadequate application of the bootstrap. Also, even for the Gaussian example, distributions for estimated semivariogram values and model parameters are positively skewed. In this sense, bootstrap percentile confidence intervals, which are not centered around the empirical semivariogram and do not require distributional assumptions for its construction, provide an achieved coverage similar to the nominal coverage. The latter cannot be achieved by symmetrical confidence intervals based on the standard error, regardless if the standard error is estimated from a parametric equation or from bootstrap.
","language":"English","publisher":"Springer","doi":"10.1007/s11004-010-9269-6","issn":"18748961","usgsCitation":"Olea, R., and Pardo-Iguzquiza, E., 2011, Generalized bootstrap method for assessment of uncertainty in semivariogram inference: Mathematical Geosciences, v. 43, no. 2, p. 203-228, https://doi.org/10.1007/s11004-010-9269-6.","productDescription":"26 p.","startPage":"203","endPage":"228","ipdsId":"IP-013963","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":242905,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215127,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11004-010-9269-6"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-02-24","publicationStatus":"PW","scienceBaseUri":"505a1515e4b0c8380cd54cad","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":26436,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":450190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardo-Iguzquiza, E.","contributorId":34345,"corporation":false,"usgs":true,"family":"Pardo-Iguzquiza","given":"E.","affiliations":[],"preferred":false,"id":450191,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035327,"text":"70035327 - 2011 - Plant invasions in mountains: Global lessons for better management","interactions":[],"lastModifiedDate":"2021-02-25T17:51:06.020363","indexId":"70035327","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2790,"text":"Mountain Research and Development","active":true,"publicationSubtype":{"id":10}},"title":"Plant invasions in mountains: Global lessons for better management","docAbstract":"Mountains are one of few ecosystems little affected by plant invasions. However, the threat of invasion is likely to increase because of climate change, greater anthropogenic land use, and continuing novel introductions. Preventive management, therefore, will be crucial but can be difficult to promote when more pressing problems are unresolved and predictions are uncertain. In this essay, we use management case studies from 7 mountain regions to identify common lessons for effective preventive action. The degree of plant invasion in mountains was variable in the 7 regions as was the response to invasion, which ranged from lack of awareness by land managers of the potential impact in Chile and Kashmir to well-organized programs of prevention and containment in the United States (Hawaii and the Pacific Northwest), including prevention at low altitude. In Australia, awareness of the threat grew only after disruptive invasions. In South Africa, the economic benefits of removing alien plants are well recognized and funded in the form of employment programs. In the European Alps, there is little need for active management because no invasive species pose an immediate threat. From these case studies, we identify lessons for management of plant invasions in mountain ecosystems: (i) prevention is especially important in mountains because of their rugged terrain, where invasions can quickly become unmanageable; (ii) networks at local to global levels can assist with awareness raising and better prioritization of management actions; (iii) the economic importance of management should be identified and articulated; (iv) public acceptance of management programs will make them more effective; and (v) climate change needs to be considered. We suggest that comparisons of local case studies, such as those we have presented, have a pivotal place in the proactive solution of global change issues.
","language":"English","publisher":"BioOne","doi":"10.1659/MRD-JOURNAL-D-11-00082.1","issn":"02764741","usgsCitation":"McDougall, K., Khuroo, A., Loope, L.L., Parks, C., Pauchard, A., Reshi, Z., Rushworth, I., and Kueffer, C., 2011, Plant invasions in mountains: Global lessons for better management: Mountain Research and Development, v. 31, no. 4, p. 380-387, https://doi.org/10.1659/MRD-JOURNAL-D-11-00082.1.","productDescription":"8 p.","startPage":"380","endPage":"387","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033032","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":475478,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1659/mrd-journal-d-11-00082.1","text":"Publisher Index Page"},{"id":242938,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7bf7e4b0c8380cd7970b","contributors":{"authors":[{"text":"McDougall, K.L.","contributorId":32366,"corporation":false,"usgs":true,"family":"McDougall","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":450198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khuroo, A.A.","contributorId":60870,"corporation":false,"usgs":true,"family":"Khuroo","given":"A.A.","affiliations":[],"preferred":false,"id":450203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loope, Lloyd L.","contributorId":107848,"corporation":false,"usgs":true,"family":"Loope","given":"Lloyd","email":"","middleInitial":"L.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":450200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parks, C.G.","contributorId":12282,"corporation":false,"usgs":true,"family":"Parks","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":450196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pauchard, A.","contributorId":15421,"corporation":false,"usgs":true,"family":"Pauchard","given":"A.","affiliations":[],"preferred":false,"id":450197,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reshi, Z.A.","contributorId":33937,"corporation":false,"usgs":true,"family":"Reshi","given":"Z.A.","affiliations":[],"preferred":false,"id":450199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rushworth, I.","contributorId":58487,"corporation":false,"usgs":true,"family":"Rushworth","given":"I.","email":"","affiliations":[],"preferred":false,"id":450202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kueffer, C.","contributorId":55660,"corporation":false,"usgs":true,"family":"Kueffer","given":"C.","affiliations":[],"preferred":false,"id":450201,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035328,"text":"70035328 - 2011 - Satellite and ground observations of the June 2009 eruption of Sarychev Peak volcano, Matua Island, Central Kuriles","interactions":[],"lastModifiedDate":"2021-03-08T12:37:22.253723","indexId":"70035328","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Satellite and ground observations of the June 2009 eruption of Sarychev Peak volcano, Matua Island, Central Kuriles","docAbstract":"After 33 years of repose, one of the most active volcanoes of the Kurile island arc—Sarychev Peak on Matua Island in the Central Kuriles—erupted violently on June 11, 2009. The eruption lasted 9 days and stands among the largest of recent historical eruptions in the Kurile Island chain. Satellite monitoring of the eruption, using Moderate Resolution Imaging Spectroradiometer, Meteorological Agency Multifunctional Transport Satellite, and Advanced Very High Resolution Radiometer data, indicated at least 23 separate explosions between 11 and 16 June 2009. Eruptive clouds reached altitudes of generally 8–16 km above sea level (ASL) and in some cases up to 21 km asl. Clouds of volcanic ash and gas stretched to the north and northwest up to 1,500 km and to the southeast for more than 3,000 km. For the first time in recorded history, ash fall occurred on Sakhalin Island and in the northeast sector of the Khabarovsky Region, Russia. Based on satellite image analysis and reconnaissance field studies in the summer of 2009, the eruption produced explosive tephra deposits with an estimated bulk volume of 0.4 km3. The eruption is considered to have a Volcanic Explosivity Index of 4. Because the volcano is remote, there was minimal risk to people or infrastructure on the ground. Aviation transport, however, was significantly disrupted because of the proximity of air routes to the volcano.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-011-0481-0","issn":"02588900","usgsCitation":"Rybin, A., Chibisova, M., Webley, P., Steensen, T., Izbekov, P., Neal, C.A., and Realmuto, V., 2011, Satellite and ground observations of the June 2009 eruption of Sarychev Peak volcano, Matua Island, Central Kuriles: Bulletin of Volcanology, v. 73, no. 9, p. 1377-1392, https://doi.org/10.1007/s00445-011-0481-0.","productDescription":"16 p.","startPage":"1377","endPage":"1392","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":242939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, Japan","otherGeospatial":"Kuril Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 145.72265625,\n 42.293564192170095\n ],\n [\n 155.21484375,\n 46.558860303117164\n ],\n [\n 159.697265625,\n 52.3755991766591\n ],\n [\n 154.599609375,\n 52.855864177853974\n ],\n [\n 146.6015625,\n 46.49839225859763\n ],\n [\n 143.173828125,\n 45.089035564831036\n ],\n [\n 145.72265625,\n 42.293564192170095\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-15","publicationStatus":"PW","scienceBaseUri":"505b86cee4b08c986b316133","contributors":{"authors":[{"text":"Rybin, A.","contributorId":83754,"corporation":false,"usgs":true,"family":"Rybin","given":"A.","affiliations":[],"preferred":false,"id":450207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chibisova, M.","contributorId":39212,"corporation":false,"usgs":true,"family":"Chibisova","given":"M.","affiliations":[],"preferred":false,"id":450204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webley, P.","contributorId":96915,"corporation":false,"usgs":false,"family":"Webley","given":"P.","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":450209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steensen, T.","contributorId":108331,"corporation":false,"usgs":true,"family":"Steensen","given":"T.","email":"","affiliations":[],"preferred":false,"id":450210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Izbekov, P.","contributorId":46748,"corporation":false,"usgs":true,"family":"Izbekov","given":"P.","affiliations":[],"preferred":false,"id":450205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":450208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Realmuto, V.","contributorId":50746,"corporation":false,"usgs":true,"family":"Realmuto","given":"V.","email":"","affiliations":[],"preferred":false,"id":450206,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70035556,"text":"70035556 - 2011 - Does the \"kamaroma\"-plastron pattern morph occur in both Philippine subspecies of the turtle Cuora amboinensis?","interactions":[],"lastModifiedDate":"2021-02-23T19:22:59.664412","indexId":"70035556","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"Does the \"kamaroma\"-plastron pattern morph occur in both Philippine subspecies of the turtle Cuora amboinensis?","docAbstract":"Two subspecies of the turtle Cuora amboinensis have been reported from the Philippine Islands, C. a. amboinensis and C. a. kamaroma, distinguished primarily by their carapace morphology, and secondarily by their plastron patterns. We assessed the utility of using shell and postorbital-stripe morphology instead of plastron patterns to distinguish these putative taxa. Adult C. amboinensis from the Philippines were examined to determine the extent of occurrence of C. a. kamaroma on the islands. Several morphological carapace characters and one based on the postorbital stripe were found to differ significantly between the subspecies C. a. amboinensis and C. a. kamaroma, and were used to assign turtles to subspecies. Use of these characters often resulted in conflicting subspecific identifications for those previously assigned by their plastron patterns to C. a. kamaroma. This poses important questions. Using the carapace and postorbital-stripe characters, 95.2% of the turtles in the mainland chain of islands were identified as C. a. amboinensis, and only 4.8% as C. a. kamaroma. Surprisingly, most of those assigned to C. a. kamaroma were from the northern islands of Babuyan and Luzon, not from the southern main chain island populations closest to the likely geographic area of invasion by that subspecies. This may be due to the common practice of importation of C. a. kamaroma into these northern islands, especially Luzon, for food. Turtles with kamaroma-like or C. a. amboinensis × C. a. kamaroma plastron patterns have been reported from the Sulu Archipelago and Busuanga/Palawan chain, and those specimens we examined from those islands confirmed this. The questions of whether or not C. a. kamaroma actually occurs in the Philippines and, if so, what is its island distribution, cannot be answered at this time. All specimens previously identified as C. a. kamaroma by their plastron-patterns should be re-evaluated, using the significant carapace and postorbital-stripe characters identified by Rummler & Fritz (1991) and in this paper. Philippine Cuora amboinensis cannot be identified to subspecies by their plastron patterns alone.
","language":"English","publisher":"BioOne","doi":"10.2988/11-13.1","issn":"0006324X","usgsCitation":"Ernst, C., Laemmerzahl, A., and Lovich, J.E., 2011, Does the \"kamaroma\"-plastron pattern morph occur in both Philippine subspecies of the turtle Cuora amboinensis?: Proceedings of the Biological Society of Washington, v. 124, no. 4, p. 259-269, https://doi.org/10.2988/11-13.1.","productDescription":"11 p.","startPage":"259","endPage":"269","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":243940,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216098,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2988/11-13.1"}],"volume":"124","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0398e4b0c8380cd5056e","contributors":{"authors":[{"text":"Ernst, C.H.","contributorId":9613,"corporation":false,"usgs":true,"family":"Ernst","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":451231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laemmerzahl, A.F.","contributorId":104597,"corporation":false,"usgs":true,"family":"Laemmerzahl","given":"A.F.","affiliations":[],"preferred":false,"id":451233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":451232,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035587,"text":"70035587 - 2011 - Epistemic uncertainty in the location and magnitude of earthquakes in Italy from Macroseismic data","interactions":[],"lastModifiedDate":"2012-12-17T19:54:59","indexId":"70035587","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Epistemic uncertainty in the location and magnitude of earthquakes in Italy from Macroseismic data","docAbstract":"Three independent techniques (Bakun and Wentworth, 1997; Boxer from Gasperini et al., 1999; and Macroseismic Estimation of Earthquake Parameters [MEEP; see Data and Resources section, deliverable D3] from R.M.W. Musson and M.J. Jimenez) have been proposed for estimating an earthquake location and magnitude from intensity data alone. The locations and magnitudes obtained for a given set of intensity data are almost always different, and no one technique is consistently best at matching instrumental locations and magnitudes of recent well-recorded earthquakes in Italy. Rather than attempting to select one of the three solutions as best, we use all three techniques to estimate the location and the magnitude and the epistemic uncertainties among them. The estimates are calculated using bootstrap resampled data sets with Monte Carlo sampling of a decision tree. The decision-tree branch weights are based on goodness-of-fit measures of location and magnitude for recent earthquakes. The location estimates are based on the spatial distribution of locations calculated from the bootstrap resampled data. The preferred source location is the locus of the maximum bootstrap location spatial density. The location uncertainty is obtained from contours of the bootstrap spatial density: 68% of the bootstrap locations are within the 68% confidence region, and so on. For large earthquakes, our preferred location is not associated with the epicenter but with a location on the extended rupture surface. For small earthquakes, the epicenters are generally consistent with the location uncertainties inferred from the intensity data if an epicenter inaccuracy of 2-3 km is allowed. The preferred magnitude is the median of the distribution of bootstrap magnitudes. As with location uncertainties, the uncertainties in magnitude are obtained from the distribution of bootstrap magnitudes: the bounds of the 68% uncertainty range enclose 68% of the bootstrap magnitudes, and so on. The instrumental magnitudes for large and small earthquakes are generally consistent with the confidence intervals inferred from the distribution of bootstrap resampled magnitudes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110118","issn":"00371106","usgsCitation":"Bakun, W.H., Gomez, C.A., and Stucchi, M., 2011, Epistemic uncertainty in the location and magnitude of earthquakes in Italy from Macroseismic data: Bulletin of the Seismological Society of America, v. 101, no. 6, p. 2712-2725, https://doi.org/10.1785/0120110118.","productDescription":"14 p.","startPage":"2712","endPage":"2725","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":216041,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110118"},{"id":243880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.29 ], [ 6.63,47.09 ], [ 18.78,47.09 ], [ 18.78,35.29 ], [ 6.63,35.29 ] ] ] } } ] }","volume":"101","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a0a16e4b0c8380cd521cd","contributors":{"authors":[{"text":"Bakun, W. H.","contributorId":67055,"corporation":false,"usgs":true,"family":"Bakun","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":451348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez, Capera A.","contributorId":87390,"corporation":false,"usgs":true,"family":"Gomez","given":"Capera","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":451349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stucchi, M.","contributorId":8695,"corporation":false,"usgs":true,"family":"Stucchi","given":"M.","email":"","affiliations":[],"preferred":false,"id":451347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035778,"text":"70035778 - 2011 - Perceptions of strengths and deficiencies: Disconnects between graduate students and prospective employers","interactions":[],"lastModifiedDate":"2021-02-10T19:30:35.098636","indexId":"70035778","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Perceptions of strengths and deficiencies: Disconnects between graduate students and prospective employers","docAbstract":"The US Botanical Capacity Assessment Project (BCAP) was initiated as a first step to gauge the nation's collective ability to meet the environmental challenges of the 21st century. The project, in which the authors of this article are involved, specifically aimed to identify multisector contributions to and gaps in botanical capacity in order to develop growth opportunities to address research and management problems. One of the primary gaps revealed by the BCAP surveys was that the skills graduate students identified as their greatest strengths closely matched the areas future employers (government and private sectors) identified as needing greatest improvement. Although our survey focused on only one discipline (botany), we suspect that the results are applicable throughout the science, technology, engineering, and mathematics disciplines. We suggest that it is critical for university faculty and administrators to team with professionals from government, nonprofit, and for-profit organizations to identify critical and desired knowledge and skill sets and implement the necessary curriculum changes to provide graduates with the tools they need.
","language":"English","publisher":"Oxford Academic","doi":"10.1525/bio.2011.61.2.8","issn":"00063568","usgsCitation":"Sundberg, M., Deangelis, P., Havens, K., Holsinger, K., Kennedy, K., Kramer, A., Muir, R., Olwell, P., Schierenbeck, K., Stritch, L., and Zorn-Arnold, B., 2011, Perceptions of strengths and deficiencies: Disconnects between graduate students and prospective employers: BioScience, v. 61, no. 2, p. 133-138, https://doi.org/10.1525/bio.2011.61.2.8.","productDescription":"6 p.","startPage":"133","endPage":"138","costCenters":[],"links":[{"id":244302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216432,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/bio.2011.61.2.8"}],"volume":"61","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a766de4b0c8380cd780e1","contributors":{"authors":[{"text":"Sundberg, M.D.","contributorId":11445,"corporation":false,"usgs":true,"family":"Sundberg","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":452324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deangelis, P.","contributorId":17849,"corporation":false,"usgs":true,"family":"Deangelis","given":"P.","email":"","affiliations":[],"preferred":false,"id":452326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Havens, K.","contributorId":65691,"corporation":false,"usgs":true,"family":"Havens","given":"K.","email":"","affiliations":[],"preferred":false,"id":452333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holsinger, K.","contributorId":47999,"corporation":false,"usgs":true,"family":"Holsinger","given":"K.","email":"","affiliations":[],"preferred":false,"id":452329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, K.","contributorId":62858,"corporation":false,"usgs":true,"family":"Kennedy","given":"K.","affiliations":[],"preferred":false,"id":452332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, A.T.","contributorId":57293,"corporation":false,"usgs":true,"family":"Kramer","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":452331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muir, R.","contributorId":83357,"corporation":false,"usgs":true,"family":"Muir","given":"R.","email":"","affiliations":[],"preferred":false,"id":452334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Olwell, Peggy","contributorId":39609,"corporation":false,"usgs":true,"family":"Olwell","given":"Peggy","affiliations":[],"preferred":false,"id":452328,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schierenbeck, K.","contributorId":51574,"corporation":false,"usgs":true,"family":"Schierenbeck","given":"K.","email":"","affiliations":[],"preferred":false,"id":452330,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stritch, L.","contributorId":28827,"corporation":false,"usgs":true,"family":"Stritch","given":"L.","email":"","affiliations":[],"preferred":false,"id":452327,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zorn-Arnold, B.","contributorId":11446,"corporation":false,"usgs":true,"family":"Zorn-Arnold","given":"B.","email":"","affiliations":[],"preferred":false,"id":452325,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70035837,"text":"70035837 - 2011 - Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data","interactions":[],"lastModifiedDate":"2017-04-06T12:22:24","indexId":"70035837","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data","docAbstract":"Potamogeton crispus L. (curly pondweed) is a cosmopolitan aquatic macrophyte considered invasive in North America and elsewhere. Its range is expanding and, on individual water bodies, its coverage can be dynamic both within and among years. In this study, we evaluate the use of free and low-cost satellite remote sensing data to monitor a problematic emergent macrophyte community dominated by P. crispus. Between 2000 and 2006, we acquired eight satellite images of 24,000-ha Lake Sharpe, South Dakota (USA). During one of the dates for which satellite imagery was acquired, we sampled the lake for P. crispus and other emergent macrophytes using GPS and photography for documentation. We used cluster analysis to assist in classification of the satellite imagery and independently validated results using the field data. Resulting estimates of emergent macrophyte coverage ranged from less than 20 ha in 2002 to 245 ha in 2004. Accuracy assessment indicated 82% of image pixels were correctly classified, with errors being primarily due to failure to identify emergent macrophytes. These results emphasize the dynamic nature of P. crispus-dominated macrophyte communities and show how they can be effectively monitored over large areas using low-cost remote sensing imagery. While results may vary in other systems depending on water quality and local flora, such an approach could be applied elsewhere and for a variety of macrophyte communities.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-010-0537-8","issn":"00188158","usgsCitation":"Albright, T.P., and Ode, D., 2011, Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data: Hydrobiologia, v. 661, no. 1, p. 469-474, https://doi.org/10.1007/s10750-010-0537-8.","productDescription":"6 p.","startPage":"469","endPage":"474","numberOfPages":"6","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216408,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-010-0537-8"}],"volume":"661","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"505a5deae4b0c8380cd706a1","contributors":{"authors":[{"text":"Albright, Thomas P.","contributorId":78114,"corporation":false,"usgs":true,"family":"Albright","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":452671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ode, D.J.","contributorId":100643,"corporation":false,"usgs":true,"family":"Ode","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":452672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035871,"text":"70035871 - 2011 - Nekton community response to a large-scale Mississippi River discharge: Examining spatial and temporal response to river management","interactions":[],"lastModifiedDate":"2021-02-08T21:06:40.50444","indexId":"70035871","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Nekton community response to a large-scale Mississippi River discharge: Examining spatial and temporal response to river management","docAbstract":"Freshwater flow is generally held to be one of the most influential factors affecting community structure and production in estuaries. In coastal Louisiana, the Caernarvon Freshwater Diversion (CFD) is managed to control freshwater discharge from the Mississippi River into Breton Sound basin. Operational since 1991, CFD has undergone several changes in management strategy including pulsed spring flooding, which was introduced in 2001. We used a 20-yr time series of fisheries-independent data to investigate how variation in freshwater inflow (i.e., pre- and post-CFD, and pre and post spring pulsing management) influences the downstream nekton community (abundance, diversity, and assemblage). Analyses of long-term data demonstrated that while there were effects from the CFD, they largely involved subtle changes in community structure. Spatially, effects were largely limited to the sites immediately downstream of the diversion and extended only occasionally to more down-estuary sites. Temporally, effects were 1) immediate (detected during spring diversion events) or 2) delayed (detected several months post-diversion). Analysis of river management found that pulsed spring-time inflow resulted in more significant changes in nekton assemblages, likely due to higher discharge rates that 1) increased marsh flooding, thus increasing marsh habitat accessibility for small resident marsh species, and 2) reduced salinity, possibly causing displacement of marine pelagic species down estuary.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2010.11.001","issn":"02727714","usgsCitation":"Piazza, B.P., and La Peyre, M., 2011, Nekton community response to a large-scale Mississippi River discharge: Examining spatial and temporal response to river management: Estuarine, Coastal and Shelf Science, v. 91, no. 3, p. 379-387, https://doi.org/10.1016/j.ecss.2010.11.001.","productDescription":"9 p.","startPage":"379","endPage":"387","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":244309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216439,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2010.11.001"}],"country":"United States","otherGeospatial":"Breton Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.3353271484375,\n 29.248063243796576\n ],\n [\n -89.1265869140625,\n 29.08977693862319\n ],\n [\n -88.857421875,\n 29.27202470909843\n ],\n [\n -88.96728515624999,\n 29.49698759653577\n ],\n [\n -89.6044921875,\n 29.878755346037977\n ],\n [\n -89.8077392578125,\n 29.997759725578906\n ],\n [\n -90.0494384765625,\n 29.84064389983441\n ],\n [\n -90.0604248046875,\n 29.702368038541767\n ],\n [\n -89.8846435546875,\n 29.54000879252545\n ],\n [\n -89.5220947265625,\n 29.31993078977759\n ],\n [\n -89.3353271484375,\n 29.248063243796576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a643ee4b0c8380cd7294f","contributors":{"authors":[{"text":"Piazza, Bryan P.","contributorId":11022,"corporation":false,"usgs":true,"family":"Piazza","given":"Bryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":452841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":452842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035949,"text":"70035949 - 2011 - Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Coring operations, core sedimentology, and lithostratigraphy","interactions":[],"lastModifiedDate":"2021-02-04T21:04:55.472534","indexId":"70035949","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Coring operations, core sedimentology, and lithostratigraphy","docAbstract":"In February 2007, BP Exploration (Alaska), the U.S. Department of Energy, and the U.S. Geological Survey completed the BPXA-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well (Mount Elbert well) in the Milne Point Unit on the Alaska North Slope. The program achieved its primary goals of validating the pre-drill estimates of gas hydrate occurrence and thickness based on 3-D seismic interpretations and wireline log correlations and collecting a comprehensive suite of logging, coring, and pressure testing data. The upper section of the Mount Elbert well was drilled through the base of ice-bearing permafrost to a casing point of 594 m (1950 ft), approximately 15 m (50 ft) above the top of the targeted reservoir interval. The lower portion of the well was continuously cored from 606 m (1987 ft) to 760 m (2494 ft) and drilled to a total depth of 914 m. Ice-bearing permafrost extends to a depth of roughly 536 m and the base of gas hydrate stability is interpreted to extend to a depth of 870 m. Coring through the targeted gas hydrate bearing reservoirs was completed using a wireline-retrievable system. The coring program achieved 85% recovery of 7.6 cm (3 in) diameter core through 154 m (504 ft) of the hole. An onsite team processed the cores, collecting and preserving approximately 250 sub-samples for analyses of pore water geochemistry, microbiology, gas chemistry, petrophysical analysis, and thermal and physical properties. Eleven samples were immediately transferred to either methane-charged pressure vessels or liquid nitrogen for future study of the preserved gas hydrate. Additional offsite sampling, analyses, and detailed description of the cores were also conducted. Based on this work, one lithostratigraphic unit with eight subunits was identified across the cored interval. Subunits II and Va comprise the majority of the reservoir facies and are dominantly very fine to fine, moderately sorted, quartz, feldspar, and lithic fragment-bearing to -rich sands. Lithostratigraphic and palynologic data indicate that this section is most likely early Eocene to late Paleocene in age. The examined units contain evidence for both marine and non-marine lithofacies, and indications that the depositional environment for the reservoir facies may have been shallower marine than originally interpreted based on pre-drill wireline log interpretations. There is also evidence of reduced salinity marine conditions during deposition that may be related to the paleo-climate and depositional conditions during the early Eocene.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.001","issn":"02648172","usgsCitation":"Rose, K., Boswell, R., and Collett, T.S., 2011, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Coring operations, core sedimentology, and lithostratigraphy: Marine and Petroleum Geology, v. 28, no. 2, p. 311-331, https://doi.org/10.1016/j.marpetgeo.2010.02.001.","productDescription":"21 p.","startPage":"311","endPage":"331","costCenters":[],"links":[{"id":244123,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216262,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.001"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.34375,\n 67.7427590666639\n ],\n [\n -140.537109375,\n 67.7427590666639\n ],\n [\n -140.537109375,\n 71.44117085172385\n ],\n [\n -167.34375,\n 71.44117085172385\n ],\n [\n -167.34375,\n 67.7427590666639\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5e91e4b0c8380cd70b17","contributors":{"authors":[{"text":"Rose, K.","contributorId":43594,"corporation":false,"usgs":true,"family":"Rose","given":"K.","email":"","affiliations":[],"preferred":false,"id":453272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":453271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":453273,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035951,"text":"70035951 - 2011 - Functional profiles reveal unique ecological roles of various biological soil crust organisms","interactions":[],"lastModifiedDate":"2021-02-04T20:32:47.894469","indexId":"70035951","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Functional profiles reveal unique ecological roles of various biological soil crust organisms","docAbstract":"At the heart of the body of research on biodiversity effects on ecosystem function is the debate over whether different species tend to be functionally singular or redundant. When we consider ecosystem multi‐function, the provision of multiple ecosystem functions simultaneously, we may find that seemingly redundant species may in fact play unique roles in ecosystems.
2. Over the last few decades, the significance of biological soil crusts (BSCs) as ecological boundaries and ecosystem engineers, and their multi‐functional nature, has become increasingly well documented. We compiled ‘functional profiles’ of the organisms in this understudied community, to determine whether functional singularity emerges when multiple ecosystem functions are considered.
3. In two data sets, one representing multiple sites around the semi‐arid regions of Spain (regional scale), and another from a single site in central Spain (local scale), we examined correlations between the abundance or frequency of BSC species in a community, and multiple surrogates of ecosystem functioning. There was a wide array of apparent effects of species on specific functions.
4. Notably, in gypsiferous soils and at regional scale, we found that indicators of carbon (C) and phosphorus cycling were apparently suppressed and promoted by the lichens Diploschistes diacapsis and Squamarina lentigera, respectively. The moss Pleurochaete squarrosa appears to promote C cycling in calcareous soils at this spatial scale. At the local scale in gypsiferous soils, D. diacapsis positively correlated with carbon cycling, but negatively with nitrogen cycling, whereas numerous lichens exhibited the opposite profile.
5. We found a high degree of functional singularity, i.e. that species were highly individualistic in their effects on multiple functions. Many functional attributes were not easily predictable from existing functional grouping systems based primarily on morphology.
6. Our results suggest that maintaining species‐rich BSC communities is crucial to maintain the overall functionality of ecosystems dominated by these organisms, and that dominance and the outcome of competition could be highly influential in the determination of such functionality.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2435.2011.01835.x","issn":"02698463","usgsCitation":"Bowker, M.A., Mau, R., Maestre, F., Escolar, C., and Castillo-Monroy, A.P., 2011, Functional profiles reveal unique ecological roles of various biological soil crust organisms: Functional Ecology, v. 25, no. 4, p. 787-795, https://doi.org/10.1111/j.1365-2435.2011.01835.x.","productDescription":"9 p.","startPage":"787","endPage":"795","costCenters":[],"links":[{"id":244156,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216293,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2435.2011.01835.x"}],"volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-02-24","publicationStatus":"PW","scienceBaseUri":"505a1414e4b0c8380cd548ca","contributors":{"authors":[{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":453277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mau, R.L.","contributorId":51573,"corporation":false,"usgs":true,"family":"Mau","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":453279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maestre, F.T.","contributorId":98959,"corporation":false,"usgs":true,"family":"Maestre","given":"F.T.","affiliations":[],"preferred":false,"id":453281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Escolar, C.","contributorId":92079,"corporation":false,"usgs":true,"family":"Escolar","given":"C.","affiliations":[],"preferred":false,"id":453280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castillo-Monroy, A. P.","contributorId":18990,"corporation":false,"usgs":true,"family":"Castillo-Monroy","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":453278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036041,"text":"70036041 - 2011 - Permafrost-associated natural gas hydrate occurrences on the Alaska North Slope","interactions":[],"lastModifiedDate":"2021-02-03T20:11:59.832334","indexId":"70036041","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost-associated natural gas hydrate occurrences on the Alaska North Slope","docAbstract":"In the 1960s Russian scientists made what was then a bold assertion that gas hydrates should occur in abundance in nature. Since this early start, the scientific foundation has been built for the realization that gas hydrates are a global phenomenon, occurring in permafrost regions of the arctic and in deep water portions of most continental margins worldwide. In 1995, the U.S. Geological Survey made the first systematic assessment of the in-place natural gas hydrate resources of the United States. That study suggested that the amount of gas in the gas hydrate accumulations of northern Alaska probably exceeds the volume of known conventional gas resources on the North Slope. Researchers have long speculated that gas hydrates could eventually become a producible energy resource, yet technical and economic hurdles have historically made gas hydrate development a distant goal. This view began to change in recent years with the realization that this unconventional resource could be developed with existing conventional oil and gas production technology. One of the most significant developments was the completion of the BPXA-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well on the Alaska North Slope, which along with the Mallik project in Canada, have for the first time allowed the rational assessment of gas hydrate production technology and concepts. Almost 40 years of gas hydrate research in northern Alaska has confirmed the occurrence of at least two large gas hydrate accumulations on the North Slope. We have also seen in Alaska the first ever assessment of how much gas could be technically recovered from gas hydrates. However, significant technical concerns need to be further resolved in order to assess the ultimate impact of gas hydrate energy resource development in northern Alaska.
In-stream nitrogen processing in the Mississippi River has been suggested as one mechanism to reduce coastal eutrophication in the Gulf of Mexico. Aquatic macrophytes in river channels and flood plain lakes have the potential to temporarily remove large quantities of nitrogen through assimilation both by themselves and by the attached epiphyton. In addition, rooted macrophytes act as oxygen pumps, creating aerobic microsites around their roots where coupled nitrification–denitrification can occur. We used in situ 15N–NO3 − tracer mesocosm experiments to measure nitrate assimilation rates for macrophytes, epiphyton, and microbial fauna in the sediment in Third Lake, a backwater lake of the upper Mississippi River during June and July 2005. We measured assimilation over a range of nitrate concentrations and estimated a nitrate mass balance for Third Lake. Macrophytes assimilated the most nitrate (29.5 mg N m−2 d−1) followed by sediment microbes (14.4 mg N m−2 d−1) and epiphytes (5.7 mg N m−2 d−1). Assimilation accounted for 6.8% in June and 18.6% in July of total nitrate loss in the control chambers. However, denitrification (292.4 mg N m−2 d−1) is estimated to account for the majority (82%) of the nitrate loss. Assimilation and denitrification rates generally increased with increasing nitrate concentration but denitrification rates plateaued at about 5 mg N L−1. This suggests that backwaters have the potential to remove a relatively high amount of nitrate but will likely become saturated if the load becomes too large.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10533-010-9503-9","issn":"01682563","usgsCitation":"Kreiling, R., Richardson, W.B., Cavanaugh, J., and Bartsch, L., 2011, Summer nitrate uptake and denitrification in an upper Mississippi River backwater lake: The role of rooted aquatic vegetation: Biogeochemistry, v. 104, no. 1-3, p. 309-324, https://doi.org/10.1007/s10533-010-9503-9.","productDescription":"16 p.","startPage":"309","endPage":"324","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":246594,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218571,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-010-9503-9"}],"country":"United States","state":"Iowa, Illinois, Missouri, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.60302734375,\n 47.08508535995386\n ],\n [\n -94.52636718749999,\n 46.6795944656402\n ],\n [\n -94.02099609375,\n 45.213003555993964\n ],\n [\n -92.94433593749999,\n 44.62175409623324\n ],\n [\n -91.77978515625,\n 44.02442151965934\n ],\n [\n -91.51611328125,\n 43.13306116240612\n ],\n [\n -91.14257812499999,\n 42.439674178149424\n ],\n [\n -90.703125,\n 42.06560675405716\n ],\n [\n -91.49414062499999,\n 41.32732632036622\n ],\n [\n -91.38427734374999,\n 41.0130657870063\n ],\n [\n -91.82373046875,\n 40.29628651711716\n ],\n [\n -91.64794921875,\n 39.57182223734374\n ],\n [\n -91.23046875,\n 39.16414104768742\n ],\n [\n -90.8349609375,\n 38.75408327579141\n ],\n [\n -90.46142578125,\n 38.496593518947584\n ],\n [\n -90.5712890625,\n 38.013476231041935\n ],\n [\n -90.10986328125,\n 37.77071473849609\n ],\n [\n -89.62646484375,\n 37.17782559332976\n ],\n [\n -90,\n 36.73888412439431\n ],\n [\n -89.93408203124999,\n 36.38591277287651\n ],\n [\n -90.41748046874999,\n 35.62158189955968\n ],\n [\n -89.3408203125,\n 36.1733569352216\n ],\n [\n -89.07714843749999,\n 36.98500309285596\n ],\n [\n -89.4287109375,\n 37.92686760148135\n ],\n [\n -90.17578124999999,\n 38.272688535980976\n ],\n [\n -90.1318359375,\n 38.89103282648846\n ],\n [\n -91.1865234375,\n 40.027614437486655\n ],\n [\n -90.87890625,\n 41.09591205639546\n ],\n [\n -89.69238281249999,\n 41.72213058512578\n ],\n [\n -90.17578124999999,\n 42.407234661551875\n ],\n [\n -90.7470703125,\n 43.29320031385282\n ],\n [\n -91.49414062499999,\n 44.402391829093915\n ],\n [\n -92.7685546875,\n 44.88701247981298\n ],\n [\n -93.6474609375,\n 46.63435070293566\n ],\n [\n -94.21875,\n 47.204642388766935\n ],\n [\n -95.07568359375,\n 47.27922900257082\n ],\n [\n -95.60302734375,\n 47.08508535995386\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2010-07-11","publicationStatus":"PW","scienceBaseUri":"505b9f40e4b08c986b31e440","contributors":{"authors":[{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":454471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":454469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavanaugh, J.C.","contributorId":25269,"corporation":false,"usgs":true,"family":"Cavanaugh","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":454470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartsch, Lynn 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":3342,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":454468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036210,"text":"70036210 - 2011 - Cassini SAR, radiometry, scatterometry and altimetry observations of Titan's dune fields","interactions":[],"lastModifiedDate":"2021-01-25T19:54:11.621938","indexId":"70036210","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Cassini SAR, radiometry, scatterometry and altimetry observations of Titan's dune fields","docAbstract":"Large expanses of linear dunes cover Titan’s equatorial regions. As the Cassini mission continues, more dune fields are becoming unveiled and examined by the microwave radar in all its modes of operation (SAR, radiometry, scatterometry, altimetry) and with an increasing variety of observational geometries. In this paper, we report on Cassini’s radar instrument observations of the dune fields mapped through May 2009 and present our key findings in terms of Titan’s geology and climate. We estimate that dune fields cover ∼12.5% of Titan’s surface, which corresponds to an area of ∼10 million km2, roughly the area of the United States. If dune sand-sized particles are mainly composed of solid organics as suggested by VIMS observations (Cassini Visual and Infrared Mapping Spectrometer) and atmospheric modeling and supported by radiometry data, dune fields are the largest known organic reservoir on Titan. Dune regions are, with the exception of the polar lakes and seas, the least reflective and most emissive features on this moon. Interestingly, we also find a latitudinal dependence in the dune field microwave properties: up to a latitude of ∼11°, dune fields tend to become less emissive and brighter as one moves northward. Above ∼11° this trend is reversed. The microwave signatures of the dune regions are thought to be primarily controlled by the interdune proportion (relative to that of the dune), roughness and degree of sand cover. In agreement with radiometry and scatterometry observations, SAR images suggest that the fraction of interdunes increases northward up to a latitude of ∼14°. In general, scattering from the subsurface (volume scattering and surface scattering from buried interfaces) makes interdunal regions brighter than the dunes. The observed latitudinal trend may therefore also be partially caused by a gradual thinning of the interdunal sand cover or surrounding sand sheets to the north, thus allowing wave penetration in the underlying substrate. Altimetry measurements over dunes have highlighted a region located in the Fensal dune field (∼5° latitude) where the icy bedrock of Titan is likely exposed within smooth interdune areas. The hemispherical assymetry of dune field properties may point to a general reduction in the availability of sediments and/or an increase in the ground humidity toward the north, which could be related to Titan’s asymmetric seasonal polar insolation. Alternatively, it may indicate that either the wind pattern or the topography is less favorable for dune formation in Titan’s northern tropics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2011.03.026","issn":"00191035","usgsCitation":"Le, G.A., Janssen, M., Wye, L.C., Hayes, A., Radebaugh, J., Savage, C., Zebker, H., Lorenz, R.D., Lunine, J., Kirk, R.L., Lopes, R.M., Wall, S., Callahan, P., Stofan, E.R., and Farr, T., 2011, Cassini SAR, radiometry, scatterometry and altimetry observations of Titan's dune fields: Icarus, v. 213, no. 2, p. 608-624, https://doi.org/10.1016/j.icarus.2011.03.026.","productDescription":"17 p.","startPage":"608","endPage":"624","costCenters":[],"links":[{"id":246569,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218548,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2011.03.026"}],"volume":"213","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f38de4b0c8380cd4b893","contributors":{"authors":[{"text":"Le, Gall A.","contributorId":36764,"corporation":false,"usgs":true,"family":"Le","given":"Gall","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":454895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, M.A.","contributorId":28345,"corporation":false,"usgs":true,"family":"Janssen","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":454892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wye, L. C.","contributorId":72116,"corporation":false,"usgs":false,"family":"Wye","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":454899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, A. G.","contributorId":31098,"corporation":false,"usgs":false,"family":"Hayes","given":"A. G.","affiliations":[],"preferred":false,"id":454893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Radebaugh, J.","contributorId":34639,"corporation":false,"usgs":false,"family":"Radebaugh","given":"J.","affiliations":[],"preferred":false,"id":454894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Savage, C.","contributorId":68151,"corporation":false,"usgs":true,"family":"Savage","given":"C.","email":"","affiliations":[],"preferred":false,"id":454898,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zebker, H.","contributorId":25276,"corporation":false,"usgs":false,"family":"Zebker","given":"H.","affiliations":[],"preferred":false,"id":454891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lorenz, R. D.","contributorId":90441,"corporation":false,"usgs":false,"family":"Lorenz","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":454900,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lunine, J. I.","contributorId":51899,"corporation":false,"usgs":false,"family":"Lunine","given":"J. I.","affiliations":[],"preferred":false,"id":454897,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":454901,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lopes, R. M. C.","contributorId":49506,"corporation":false,"usgs":false,"family":"Lopes","given":"R.","email":"","middleInitial":"M. C.","affiliations":[],"preferred":false,"id":454896,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wall, S.","contributorId":103774,"corporation":false,"usgs":true,"family":"Wall","given":"S.","affiliations":[],"preferred":false,"id":454903,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Callahan, P.","contributorId":22889,"corporation":false,"usgs":true,"family":"Callahan","given":"P.","email":"","affiliations":[],"preferred":false,"id":454889,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stofan, E. R.","contributorId":103403,"corporation":false,"usgs":false,"family":"Stofan","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":454902,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Farr, Tom","contributorId":24903,"corporation":false,"usgs":true,"family":"Farr","given":"Tom","affiliations":[],"preferred":false,"id":454890,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70036211,"text":"70036211 - 2011 - Distribution, population status and trends of Kittlitz's murrelet Brachyramphus brevirostris in Lower Cook Inlet and Kachemak Bay, Alaska","interactions":[],"lastModifiedDate":"2018-08-08T10:49:31","indexId":"70036211","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Distribution, population status and trends of Kittlitz's murrelet Brachyramphus brevirostris in Lower Cook Inlet and Kachemak Bay, Alaska","title":"Distribution, population status and trends of Kittlitz's murrelet Brachyramphus brevirostris in Lower Cook Inlet and Kachemak Bay, Alaska","docAbstract":"Lower Cook Inlet (LCI) in south-central Alaska is unusual among the breeding areas of Kittlitz's Murrelet Brachyramphus brevirostris because of human impacts on the marine and terrestrial environments and because of the lack of tidewater glaciers. In LCI the Kittlitz's Murrelet co-exists with the more abundant Marbled Murrelet, which complicates abundance estimates because of the difficulty of species identification. We compared survey data for an area with overlapping coverage in LCI (Core area) in 1993 (June) and from 1996 to 1999 (July-early August). Within this LCI Core area, the surveys in 1996-1999 estimated ~1600 Kittlitz's Murrelets and ~17 000 Marbled Murrelets, including prorated unidentified murrelets. The Kittlitz's Murrelet population declined between 1993 and 1999 at 26% per annum (84% overall). Simultaneously, Marbled Murrelets declined by 12% per annum (56% overall), though the decline was not statistically significant. Declines were estimated conservatively because the 1993 survey was conducted in June, when both murrelet species are less abundant on the water. We also surveyed Kachemak Bay, a large embayment of LCI, during mid-summer (July) of 2005-2007 and estimated a population of 2047 Kittlitz's Murrelets (SD 1120, n = 3 years) residing primarily in the inner bay. Marbled Murrelets numbered 11 040 (SD 1306) and were found throughout the bay. On one transect set in inner Kachemak Bay, Kittlitz's Murrelet density in late summer (1-16 August) declined 7.5% per annum between 1988 and 2007 (n = 6 years), and Marbled Murrelet density increased 4.9% per annum. On two other transect sets in the inner bay, however, neither murrelet species showed a change in density between 1996 and 2007. Inner Kachemak Bay is a persistent hotspot for Kittlitz's Murrelet and may attract murrelets from LCI and beyond. We recommend monitoring murrelet populations in Kachemak Bay, although Kittlitz's Murrelets likely move between the main body of Cook Inlet and Kachemak Bay, and a complete LCI survey is needed to gauge regional population trends.","language":"English","issn":"10183337","usgsCitation":"Kuletz, K.J., Speckman, S., Piatt, J.F., and Labunski, E., 2011, Distribution, population status and trends of Kittlitz's murrelet Brachyramphus brevirostris in Lower Cook Inlet and Kachemak Bay, Alaska: Marine Ornithology: Journal of Seabird Research and Conservation, v. 39, no. 1, p. 85-95.","productDescription":"11 p.","startPage":"85","endPage":"95","costCenters":[],"links":[{"id":246597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0322e4b0c8380cd50365","contributors":{"authors":[{"text":"Kuletz, Kathy J.","contributorId":24669,"corporation":false,"usgs":true,"family":"Kuletz","given":"Kathy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":454906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Speckman, Suzann G.","contributorId":88217,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann G.","affiliations":[],"preferred":false,"id":454907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":454904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labunski, E.A.","contributorId":97750,"corporation":false,"usgs":true,"family":"Labunski","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":454905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036352,"text":"70036352 - 2011 - The significance of turbulent flow representation in single-continuum models","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036352","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The significance of turbulent flow representation in single-continuum models","docAbstract":"Karst aquifers exhibit highly conductive features caused from rock dissolution processes. Flow within these structures can become turbulent and therefore can be expressed by nonlinear gradient functions. One way to account for these effects is by coupling a continuum model with a conduit network. Alternatively, turbulent flow can be considered by adapting the hydraulic conductivity within the continuum model. Consequently, the significance of turbulent flow on the dynamic behavior of karst springs is investigated by an enhanced single-continuum model that results in conduit-type flow in continuum cells (CTFC). The single-continuum approach CTFC represents laminar and turbulent flow as well as more complex hybrid models that require additional programming and numerical efforts. A parameter study is conducted to investigate the effects of turbulent flow on the response of karst springs to recharge events using the new CTFC approach, existing hybrid models, and MODFLOW-2005. Results reflect the importance of representing (1) turbulent flow in karst conduits and (2) the exchange between conduits and continuum cells. More specifically, laminar models overestimate maximum spring discharge and underestimate hydraulic gradients within the conduit. It follows that aquifer properties inferred from spring hydrographs are potentially impaired by ignoring flow effects due to turbulence. The exchange factor used for hybrid models is necessary to account for the scale dependency between hydraulic properties of the matrix continuum and conduits. This functionality, which is not included in CTFC, can be mimicked by appropriate use of the Horizontal Flow Barrier package for MODFLOW. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR010133","issn":"00431397","usgsCitation":"Reimann, T., Rehrl, C., Shoemaker, W., Geyer, T., and Birk, S., 2011, The significance of turbulent flow representation in single-continuum models: Water Resources Research, v. 47, no. 9, https://doi.org/10.1029/2010WR010133.","costCenters":[],"links":[{"id":218314,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR010133"},{"id":246313,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bb034e4b08c986b324ccb","contributors":{"authors":[{"text":"Reimann, Thomas","contributorId":45536,"corporation":false,"usgs":true,"family":"Reimann","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":455689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rehrl, C.","contributorId":33938,"corporation":false,"usgs":true,"family":"Rehrl","given":"C.","email":"","affiliations":[],"preferred":false,"id":455687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoemaker, W.B. 0000-0002-7680-377X","orcid":"https://orcid.org/0000-0002-7680-377X","contributorId":51889,"corporation":false,"usgs":true,"family":"Shoemaker","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":455690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geyer, T.","contributorId":87791,"corporation":false,"usgs":true,"family":"Geyer","given":"T.","email":"","affiliations":[],"preferred":false,"id":455691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birk, S.","contributorId":41182,"corporation":false,"usgs":true,"family":"Birk","given":"S.","email":"","affiliations":[],"preferred":false,"id":455688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036374,"text":"70036374 - 2011 - Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders","interactions":[],"lastModifiedDate":"2013-07-17T14:19:05","indexId":"70036374","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders","docAbstract":"Stream ecosystems harbor many secretive and imperiled species, and studies of vertebrates in these systems face the challenges of relatively low detection rates and high costs. Environmental DNA (eDNA) has recently been confirmed as a sensitive and efficient tool for documenting aquatic vertebrates in wetlands and in a large river and canal system. However, it was unclear whether this tool could be used to detect low-density vertebrates in fast-moving streams where shed cells may travel rapidly away from their source. To evaluate the potential utility of eDNA techniques in stream systems, we designed targeted primers to amplify a short, species-specific DNA fragment for two secretive stream amphibian species in the northwestern region of the United States (Rocky Mountain tailed frogs, Ascaphus montanus, and Idaho giant salamanders, Dicamptodon aterrimus). We tested three DNA extraction and five PCR protocols to determine whether we could detect eDNA of these species in filtered water samples from five streams with varying densities of these species in central Idaho, USA. We successfully amplified and sequenced the targeted DNA regions for both species from stream water filter samples. We detected Idaho giant salamanders in all samples and Rocky Mountain tailed frogs in four of five streams and found some indication that these species are more difficult to detect using eDNA in early spring than in early fall. While the sensitivity of this method across taxa remains to be determined, the use of eDNA could revolutionize surveys for rare and invasive stream species. With this study, the utility of eDNA techniques for detecting aquatic vertebrates has been demonstrated across the majority of freshwater systems, setting the stage for an innovative transformation in approaches for aquatic research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0022746","issn":"19326203","usgsCitation":"Goldberg, C., Pilliod, D., Arkle, R., and Waits, L., 2011, Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders: PLoS ONE, v. 6, no. 7, e22746, https://doi.org/10.1371/journal.pone.0022746.","productDescription":"e22746","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":475354,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0022746","text":"Publisher Index Page"},{"id":218172,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0022746"},{"id":246157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"505a5cffe4b0c8380cd700bf","contributors":{"authors":[{"text":"Goldberg, C.S.","contributorId":39551,"corporation":false,"usgs":true,"family":"Goldberg","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":455784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, D. S.","contributorId":45259,"corporation":false,"usgs":false,"family":"Pilliod","given":"D. S.","affiliations":[],"preferred":false,"id":455785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, R.S.","contributorId":86997,"corporation":false,"usgs":true,"family":"Arkle","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":455787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, L.P.","contributorId":58987,"corporation":false,"usgs":true,"family":"Waits","given":"L.P.","email":"","affiliations":[],"preferred":false,"id":455786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}