{"pageNumber":"838","pageRowStart":"20925","pageSize":"25","recordCount":46883,"records":[{"id":70032039,"text":"70032039 - 2008 - Predicting the locations of naturally fishless lakes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70032039","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the locations of naturally fishless lakes","docAbstract":"1. Fish have been introduced into many previously fishless lakes throughout North America over the past 100+ years. It is difficult to determine the historical distribution of fishless lakes, however, because these introductions have not always been well-documented. 2. Due to its glacial history and low human population density, the state of Maine (U.S.A.) may host the greatest number of naturally fishless lakes in the northeastern United States. However, less than one-quarter of Maine's 6000+ lakes have been surveyed for fish presence, and no accurate assessments of either the historical or current abundance and distribution of fishless lakes exist. 3. We developed methods to assess the abundance and distribution of Maine's naturally fishless lakes (0.6-10.1 ha). We hypothesized that the historical distribution of fishless lakes across a landscape is controlled by geomorphic and geographic conditions. 4. We used ArcGIS to identify landscape-scale geomorphic and geographic factors (e.g. connectivity, surrounding slope) correlated with fish absence in two geomorphic regions of Maine - the western and interior mountains and the eastern lowlands and foothills. By using readily available geographic information systems data our method was not limited to field-visited sites. We estimated the likelihood that a particular lake is fishless with a stepwise logistic regression model developed for each region. 5. The absence of fish from western lakes is related to altitude (+), minimum percent slope in the 500 m buffer (+), maximum percent slope in the 500 m buffer (+) and percent cover of herbaceous-emergent wetland in 1000 m buffer (-). The absence of fish from eastern lakes is related to the lack of a stream within 50 m of the lake. 6. The models predict that a total of 4% (131) of study lakes in the two regions were historically fishless, with the eastern region hosting a greater proportion than the western region. 7. We verified the model predictions with two complementary approaches. First we visited 21 lakes predicted to be fishless and assessed current fish presence with gillnetting. Second, we used paleolimnological techniques based on the abundance of Chaoborus americanus mandibles in the bottom segments of sediment cores. Fifteen of the 21 lakes predicted to be fishless currently contain fish. Paleolimnological evidence, however, suggests that nine of the 15 lakes were historically fishless and thus were subject to undocumented fish introductions. 8. Our approach efficiently predicts the distribution Maine's naturally fishless lakes, and our results indicate that these habitats have declined due to fish introductions. Our method could be applied to other regions with similar geographic and geomorphic constraints on fish distributions as a tool to enhance conservation of a limited resource that provides habitat for unique biological communities. ?? 2007 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2007.01949.x","issn":"00465070","usgsCitation":"Schilling, E., Loftin, C., Degoosh, K., Huryn, A.D., and Webster, K., 2008, Predicting the locations of naturally fishless lakes: Freshwater Biology, v. 53, no. 5, p. 1021-1035, https://doi.org/10.1111/j.1365-2427.2007.01949.x.","startPage":"1021","endPage":"1035","numberOfPages":"15","costCenters":[],"links":[{"id":242793,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215027,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2007.01949.x"}],"volume":"53","issue":"5","noUsgsAuthors":false,"publicationDate":"2008-01-30","publicationStatus":"PW","scienceBaseUri":"505a81d0e4b0c8380cd7b74d","contributors":{"authors":[{"text":"Schilling, Emily Gaenzle","contributorId":66069,"corporation":false,"usgs":false,"family":"Schilling","given":"Emily Gaenzle","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":434269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, C.S.","contributorId":92771,"corporation":false,"usgs":true,"family":"Loftin","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":434270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degoosh, K.E.","contributorId":38377,"corporation":false,"usgs":true,"family":"Degoosh","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":434267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huryn, Alexander D. 0000-0002-1365-2361","orcid":"https://orcid.org/0000-0002-1365-2361","contributorId":20164,"corporation":false,"usgs":false,"family":"Huryn","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":28219,"text":"The University of Alabama, Department of Biological Sciences, Tuscaloosa, AL 35487","active":true,"usgs":false}],"preferred":false,"id":434266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webster, K.E.","contributorId":63753,"corporation":false,"usgs":false,"family":"Webster","given":"K.E.","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":434268,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033708,"text":"70033708 - 2008 - Factors influencing nesting success of king eiders on northern Alaska's Coastal Plain","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70033708","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing nesting success of king eiders on northern Alaska's Coastal Plain","docAbstract":"King eider (Somateria spectabilis) populations have declined markedly in recent decades for unknown reasons. Nest survival is one component of recruitment, and a female's chance of reproductive success increases with her ability to choose an appropriate nesting strategy. We estimated variation in daily nest survival of king eiders at 2 sites, Teshekpuk and Kuparuk, Alaska, USA, 2002-2005. We evaluated both a priori and exploratory competing models of nest survival that considered importance of nest concealment, seclusion, and incubation constancy as strategies to avoid 2 primary egg predators, avian (Larus spp., Stercorarius spp., and Corvus corax) and fox (Alopex lagopus). We used generalized nonlinear techniques to examine factors affecting nest survival rates and information-theoretic approaches to select among competing models. Estimated nest survival, accounting for a nest visitation effect, varied considerably across sites and years (0.21-0.57); however, given our small sample size, much of this variation maybe attributable to sampling variation (??process = 0.007, 95% CI: 0.003-0.070). Nest survival was higher at Kuparuk than Teshekpuk in all years; however, due to the correlative nature of our data, we cannot determine the underlying causes with any certainty. We found mixed support for the concealed breeding strategy, females derived no benefit from nesting in areas with more willow (Salix spp.; measure of concealment) except that the observer effect diminished as willow cover increased. We suggest these patterns are due to conflicting predation pressures. Nest survival was not higher on islands (measure of seclusion) or with increased incubation constancy but was higher post-fox removal, indicating that predator control on breeding grounds could be a viable management option. Nest survival was negatively affected by our nest visitations, most likely by exposing the nest to avian scavengers. We recommend precautions be taken to limit the effects of nest visits in future studies and to consider them as a possible negative bias in estimated nest survival. Future models of the impacts of development within the breeding grounds of king eider should consider the influence of humans in the vicinity of nests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2007-345","issn":"00225","usgsCitation":"Bentzen, R., Powell, A., and Suydam, R., 2008, Factors influencing nesting success of king eiders on northern Alaska's Coastal Plain: Journal of Wildlife Management, v. 72, no. 8, p. 1781-1789, https://doi.org/10.2193/2007-345.","startPage":"1781","endPage":"1789","numberOfPages":"9","costCenters":[],"links":[{"id":214373,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2007-345"},{"id":242096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505a0ec7e4b0c8380cd5360b","contributors":{"authors":[{"text":"Bentzen, R.L.","contributorId":42443,"corporation":false,"usgs":true,"family":"Bentzen","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":442077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, A.N.","contributorId":66194,"corporation":false,"usgs":true,"family":"Powell","given":"A.N.","email":"","affiliations":[],"preferred":false,"id":442078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suydam, R.S.","contributorId":74213,"corporation":false,"usgs":true,"family":"Suydam","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":442079,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030616,"text":"70030616 - 2008 - Implications of postseismic gravity change following the great 2004 Sumatra-Andaman earthquake from the regional harmonic analysis of GRACE intersatellite tracking data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:14","indexId":"70030616","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Implications of postseismic gravity change following the great 2004 Sumatra-Andaman earthquake from the regional harmonic analysis of GRACE intersatellite tracking data","docAbstract":"We report Gravity Recovery and Climate Experiment (GRACE) satellite observations of coseismic displacements and postseismic transients from the great Sumatra-Andaman Islands (thrust event; Mw ???9.2) earthquake in December 2004. Instead of using global spherical harmonic solutions of monthly gravity fields, we estimated the gravity changes directly using intersatellite range-rate data with regionally concentrated spherical Slepian basis functions every 15-day interval. We found significant step-like (coseismic) and exponential-like (postseismic) behavior in the time series of estimated coefficients (from May 2003 to April 2007) for the spherical Slepian function's. After deriving coseismic slip estimates from seismic and geodetic data that spanned different time intervals, we estimated and evaluated postseismic relaxation mechanisms with alternate asthenosphere viscosity models. The large spatial coverage and uniform accuracy of our GRACE solution enabled us to clearly delineate a postseismic transient signal in the first 2 years of postearthquake GRACE data. Our preferred interpretation of the long-wavelength components of the postseismic avity change is biviscous viscoelastic flow. We estimated a transient viscosity of 5 ??17 Pa s and a steady state viscosity of 5 ?? 1018 - 1019 Pa s. Additional years of the GRACE observations should provide improved steady state viscosity estimates. In contrast to our interpretation of coseismic gravity change, the prominent postearthquake positive gravity change around the Nicobar Islands is accounted for by seafloor uplift with less postseismic perturbation in intrinsic density in the region surrounding the earthquake. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JB005705","issn":"01480","usgsCitation":"Han, S., Sauber, J., Luthcke, S., Ji, C., and Pollitz., F.F., 2008, Implications of postseismic gravity change following the great 2004 Sumatra-Andaman earthquake from the regional harmonic analysis of GRACE intersatellite tracking data: Journal of Geophysical Research B: Solid Earth, v. 113, no. 11, https://doi.org/10.1029/2008JB005705.","costCenters":[],"links":[{"id":476758,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jb005705","text":"Publisher Index Page"},{"id":212132,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JB005705"},{"id":239567,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"11","noUsgsAuthors":false,"publicationDate":"2008-11-26","publicationStatus":"PW","scienceBaseUri":"505a3928e4b0c8380cd6180e","contributors":{"authors":[{"text":"Han, S.-C.","contributorId":11000,"corporation":false,"usgs":true,"family":"Han","given":"S.-C.","email":"","affiliations":[],"preferred":false,"id":427878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauber, J.","contributorId":31540,"corporation":false,"usgs":true,"family":"Sauber","given":"J.","email":"","affiliations":[],"preferred":false,"id":427880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luthcke, S.B.","contributorId":33125,"corporation":false,"usgs":true,"family":"Luthcke","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":427881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ji, C.","contributorId":31093,"corporation":false,"usgs":true,"family":"Ji","given":"C.","email":"","affiliations":[],"preferred":false,"id":427879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pollitz., F. F.","contributorId":70188,"corporation":false,"usgs":true,"family":"Pollitz.","given":"F.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":427882,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030613,"text":"70030613 - 2008 - Physical properties of sediments from Keathley Canyon and Atwater Valley, JIP Gulf of Mexico gas hydrate drilling program","interactions":[],"lastModifiedDate":"2018-08-07T12:53:46","indexId":"70030613","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Physical properties of sediments from Keathley Canyon and Atwater Valley, JIP Gulf of Mexico gas hydrate drilling program","docAbstract":"<p><span>Physical property measurements and consolidation behavior are different between sediments from Atwater Valley and Keathley Canyon in the northern Gulf of Mexico. Void ratio and bulk density of Atwater Valley sediment from a seafloor mound (holes ATM1 and ATM2) show little effective stress (or depth) dependence to 27</span><span>&nbsp;</span><span>meters below seafloor (mbsf), perhaps owing to fluidized transport through the mound itself with subsequent settling onto the seafloor or mound flanks. Off-mound sediments (hole AT13-2) have bulk physical properties that are similar to mound sediments above 27</span><span>&nbsp;</span><span>mbsf, but void ratio and porosity decrease below that depth. Properties of shallow (&lt;50</span><span>&nbsp;</span><span>mbsf) Keathley Canyon sediments (KC151-3) change with increasing effective stress (or depth) compared to Atwater Valley, but vary little below that depth. Organic carbon is present in concentrations between typical near-shore and deep-sea sediments. Organic carbon-to-nitrogen ratios suggest that the organic matter contained in Atwater Valley off-mound and mound sites came from somewhat different sources. The difference in organic carbon-to-nitrogen ratios between Atwater Valley and Keathley Canyon is more pronounced. At Keathley Canyon a more terrigenous source of the organic matter is indicated. Grain sizes are typically silty clay or clay within the two basins reflecting similar transport energy. However, the range in most shallow sediment properties is significantly different between the two basins. Bulk density profiles agree with logging results in Atwater Valley and Keathley Canyon. Agreement between lab-derived and logging-derived properties supports using logging data to constrain bulk physical properties where cores were not collected.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2008.01.018","issn":"02648","usgsCitation":"Winters, W.J., Dugan, B., and Collett, T.S., 2008, Physical properties of sediments from Keathley Canyon and Atwater Valley, JIP Gulf of Mexico gas hydrate drilling program: Marine and Petroleum Geology, v. 25, no. 9, p. 896-905, https://doi.org/10.1016/j.marpetgeo.2008.01.018.","productDescription":"10 p.","startPage":"896","endPage":"905","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":476636,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/2616","text":"External Repository"},{"id":239529,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212106,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2008.01.018"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.3056640625,\n              19.518375478601566\n            ],\n            [\n              -81.03515625,\n              19.518375478601566\n            ],\n            [\n              -81.03515625,\n              29.420460341013133\n            ],\n            [\n              -98.3056640625,\n              29.420460341013133\n            ],\n            [\n              -98.3056640625,\n              19.518375478601566\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7ac0e4b0c8380cd79094","contributors":{"authors":[{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":427871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugan, Brandon","contributorId":10213,"corporation":false,"usgs":true,"family":"Dugan","given":"Brandon","email":"","affiliations":[],"preferred":false,"id":427870,"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":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":427872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032760,"text":"70032760 - 2008 - Radar imaging of winter seismic survey activity in the National Petroleum Reserve-Alaska","interactions":[],"lastModifiedDate":"2018-06-16T18:02:16","indexId":"70032760","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3095,"text":"Polar Record","active":true,"publicationSubtype":{"id":10}},"title":"Radar imaging of winter seismic survey activity in the National Petroleum Reserve-Alaska","docAbstract":"<p><span>During the spring of 2006, Radarsat-1 synthetic aperture radar (SAR) imagery was acquired on a continual basis for the Teshekpuk Lake Special Area (TLSA), in the northeast portion of the National Petroleum Reserve, Alaska (NPR-A) in order to monitor lake ice melting processes. During data processing, it was discovered that the Radarsat-1 imagery detected features associated with winter seismic survey activity. Focused analysis of the image time series revealed various aspects of the exploration process such as the grid profile associated with the seismic line surveys as well as trails and campsites associated with the mobile survey crews. Due to the high temporal resolution of the dataset it was possible to track the progress of activities over a one month period. Spaceborne SAR imagery can provide information on the location of winter seismic activity and could be used as a monitoring tool for land and resource managers as increased petroleum-based activity occurs in the TLSA and NPR-A.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0032247407007206","issn":"00322474","usgsCitation":"Jones, B.M., Rykhus, R., Lu, Z., Arp, C., and Selkowitz, D., 2008, Radar imaging of winter seismic survey activity in the National Petroleum Reserve-Alaska: Polar Record, v. 44, no. 3, p. 227-231, https://doi.org/10.1017/S0032247407007206.","productDescription":"5 p.","startPage":"227","endPage":"231","numberOfPages":"5","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241462,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213803,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S0032247407007206"}],"volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-07-01","publicationStatus":"PW","scienceBaseUri":"505a9385e4b0c8380cd80e85","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":437792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rykhus, Russ","contributorId":53575,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russ","email":"","affiliations":[],"preferred":false,"id":437793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":437796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":437794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selkowitz, D.J.","contributorId":82886,"corporation":false,"usgs":true,"family":"Selkowitz","given":"D.J.","affiliations":[],"preferred":false,"id":437795,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030296,"text":"70030296 - 2008 - Relative importance of natural disturbances and habitat degradation on snail kite population dynamics","interactions":[],"lastModifiedDate":"2012-03-12T17:21:11","indexId":"70030296","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Relative importance of natural disturbances and habitat degradation on snail kite population dynamics","docAbstract":"Natural disturbances and habitat degradation are major factors influencing the dynamics and persistence of many wildlife populations, yet few large-scale studies have explored the relative influence of these factors on the dynamics and persistence of animal populations. We used longterm demographic data and matrix population models to examine the potential effects of habitat degradation and natural disturbances on the dynamics of the endangered snail kite Rostrhamus sociabilis in Florida, USA. We found that estimates of stochastic population growth rate were low (0.90). Population growth rate (??) during the first half or our study period (1992 to 1998) was substantially greater than during the second half (1999 to 2005). These 2 periods were characterized by contrasting hydrological conditions. Although ?? was most sensitive to changes in adult survival, the analysis of life table response experiments revealed that a reduction in fertility of kites accounted for >80% of the observed decline in population growth rate. We examined the possibility that the reduction in ?? was caused by (1) habitat degradation due to management, (2) an increase in frequency of moderate drying events in recent years, and (3) both habitat degradation and an increase in frequency of moderate drying events. Our results suggest that both factors could potentially contribute to a large decrease in population growth rate. Our study highlights the importance of simultaneously considering short- and long-term effects of disturbances when modeling population dynamics. Indeed, focusing exclusively on one type of effect may be misleading to both our understanding of the ecological dynamics of the system and to management. The relevance of our results to management is heightened because the snail kite has been selected as a key performance measure of one of the most ambitious ecosystem restoration projects ever undertaken. ?? Inter-Research 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Endangered Species Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3354/esr00119","issn":"18635","usgsCitation":"Martin, J., Kitchens, W., Cattau, C.E., and Oli, M., 2008, Relative importance of natural disturbances and habitat degradation on snail kite population dynamics: Endangered Species Research, v. 6, no. 1, p. 25-39, https://doi.org/10.3354/esr00119.","startPage":"25","endPage":"39","numberOfPages":"15","costCenters":[],"links":[{"id":476721,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00119","text":"Publisher Index Page"},{"id":212118,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/esr00119"},{"id":239544,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa687e4b0c8380cd84eda","contributors":{"authors":[{"text":"Martin, J.","contributorId":18871,"corporation":false,"usgs":true,"family":"Martin","given":"J.","affiliations":[],"preferred":false,"id":426559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitchens, W.M.","contributorId":87647,"corporation":false,"usgs":true,"family":"Kitchens","given":"W.M.","affiliations":[],"preferred":false,"id":426561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cattau, Christopher E.","contributorId":54406,"corporation":false,"usgs":true,"family":"Cattau","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":426560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oli, M.K.","contributorId":108069,"corporation":false,"usgs":true,"family":"Oli","given":"M.K.","affiliations":[],"preferred":false,"id":426562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033508,"text":"70033508 - 2008 - Conservation genetics of Lake Superior brook trout: Issues, questions, and directions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033508","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Conservation genetics of Lake Superior brook trout: Issues, questions, and directions","docAbstract":"Parallel efforts by several genetic research groups have tackled common themes relating to management concerns about and recent rehabilitation opportunities for coaster brook trout Salvelinus fontinalis in Lake Superior. The questions that have been addressed include the evolutionary and genetic status of coaster brook trout, the degree of relatedness among coaster populations and their relationship to riverine tributary brook trout populations, and the role and effectiveness of stocking in maintaining and restoring coasters to Lake Superior. Congruent genetic results indicate that coasters are an ecotype (life history variant) rather than an evolutionarily significant unit or genetically distinct strain. Regional structure exists among brook trout stocks, coasters being produced from local populations. Introgression of hatchery genes into wild populations appears to vary regionally and may relate to local population size, habitat integrity, and anthropogenic pressures. Tracking the genetic diversity and integrity associated with captive breeding programs is helping to ensure that the fish used for stocking are representative of their source populations and appropriate for rehabilitation efforts. Comparative analysis of shared samples among collaborating laboratories is enabling standardization of genotype scoring and interpretation as well as the development of a common toolkit for assessing genetic structure and diversity. Incorporation of genetic data into rehabilitation projects will facilitate monitoring efforts and subsequent adaptive management. Together, these multifaceted efforts provide comprehensive insights into the biology of coaster brook trout and enhance restoration options. ?? Copyright by the American Fisheries Society 2008.","largerWorkTitle":"North American Journal of Fisheries Management","language":"English","doi":"10.1577/M05-190.1","issn":"02755","usgsCitation":"Wilson, C., Stott, W., Miller, L., D’Amelio, S., Jennings, M.J., and Cooper, A., 2008, Conservation genetics of Lake Superior brook trout: Issues, questions, and directions, <i>in</i> North American Journal of Fisheries Management, v. 28, no. 4, p. 1307-1320, https://doi.org/10.1577/M05-190.1.","startPage":"1307","endPage":"1320","numberOfPages":"14","costCenters":[],"links":[{"id":214392,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M05-190.1"},{"id":242115,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-08-01","publicationStatus":"PW","scienceBaseUri":"5059f9dbe4b0c8380cd4d80b","contributors":{"authors":[{"text":"Wilson, C.C.","contributorId":102987,"corporation":false,"usgs":true,"family":"Wilson","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":441203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stott, W.","contributorId":77734,"corporation":false,"usgs":true,"family":"Stott","given":"W.","email":"","affiliations":[],"preferred":false,"id":441200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, L.","contributorId":97221,"corporation":false,"usgs":true,"family":"Miller","given":"L.","affiliations":[],"preferred":false,"id":441201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D’Amelio, S.","contributorId":21776,"corporation":false,"usgs":true,"family":"D’Amelio","given":"S.","email":"","affiliations":[],"preferred":false,"id":441199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, Martin J.","contributorId":6570,"corporation":false,"usgs":true,"family":"Jennings","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":441198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, A.M.","contributorId":100208,"corporation":false,"usgs":true,"family":"Cooper","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":441202,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033525,"text":"70033525 - 2008 - Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033525","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas","docAbstract":"Despite numerous and regular improvements in underlying models, surface drift prediction in the ocean remains a challenging task because of our yet limited understanding of all processes involved. Hence, deterministic approaches to the problem are often limited by empirical assumptions on underlying physics. Multi-model hyper-ensemble forecasts, which exploit the power of an optimal local combination of available information including ocean, atmospheric and wave models, may show superior forecasting skills when compared to individual models because they allow for local correction and/or bias removal. In this work, we explore in greater detail the potential and limitations of the hyper-ensemble method in the Adriatic Sea, using a comprehensive surface drifter database. The performance of the hyper-ensembles and the individual models are discussed by analyzing associated uncertainties and probability distribution maps. Results suggest that the stochastic method may reduce position errors significantly for 12 to 72??h forecasts and hence compete with pure deterministic approaches. ?? 2007 NATO Undersea Research Centre (NURC).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jmarsys.2007.02.015","issn":"09247963","usgsCitation":"Rixen, M., Ferreira-Coelho, E., and Signell, R., 2008, Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas: Journal of Marine Systems, v. 69, no. 1-2, p. 86-98, https://doi.org/10.1016/j.jmarsys.2007.02.015.","startPage":"86","endPage":"98","numberOfPages":"13","costCenters":[],"links":[{"id":476786,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.jmarsys.2007.02.015","text":"External Repository"},{"id":214128,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jmarsys.2007.02.015"},{"id":241821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9fa5e4b08c986b31e742","contributors":{"authors":[{"text":"Rixen, M.","contributorId":103537,"corporation":false,"usgs":true,"family":"Rixen","given":"M.","email":"","affiliations":[],"preferred":false,"id":441269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferreira-Coelho, E.","contributorId":75396,"corporation":false,"usgs":true,"family":"Ferreira-Coelho","given":"E.","email":"","affiliations":[],"preferred":false,"id":441267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Signell, R.","contributorId":76052,"corporation":false,"usgs":true,"family":"Signell","given":"R.","affiliations":[],"preferred":false,"id":441268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033529,"text":"70033529 - 2008 - Determination of methane concentrations in water in equilibrium with sI methane hydrate in the absence of a vapor phase by in situ Raman spectroscopy","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70033529","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Determination of methane concentrations in water in equilibrium with sI methane hydrate in the absence of a vapor phase by in situ Raman spectroscopy","docAbstract":"Most submarine gas hydrates are located within the two-phase equilibrium region of hydrate and interstitial water with pressures (P) ranging from 8 to 60 MPa and temperatures (T) from 275 to 293 K. However, current measurements of solubilities of methane in equilibrium with hydrate in the absence of a vapor phase are limited below 20 MPa and 283.15 K, and the differences among these data are up to 30%. When these data were extrapolated to other P-T conditions, it leads to large and poorly known uncertainties. In this study, in situ Raman spectroscopy was used to measure methane concentrations in pure water in equilibrium with sI (structure one) methane hydrate, in the absence of a vapor phase, at temperatures from 276.6 to 294.6 (??0.3) K and pressures at 10, 20, 30 and 40 (??0.4%) MPa. The relationship among concentration of methane in water in equilibrium with hydrate, in mole fraction [X(CH4)], the temperature in K, and pressure in MPa was derived as: X(CH4) = exp [11.0464 + 0.023267 P - (4886.0 + 8.0158 P)/T]. Both the standard enthalpy and entropy of hydrate dissolution at the studied T-P conditions increase slightly with increasing pressure, ranging from 41.29 to 43.29 kJ/mol and from 0.1272 to 0.1330 kJ/K ?? mol, respectively. When compared with traditional sampling and analytical methods, the advantages of our method include: (1) the use of in situ Raman signals for methane concentration measurements eliminates possible uncertainty caused by sampling and ex situ analysis, (2) it is simple and efficient, and (3) high-pressure data can be obtained safely. ?? 2007 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gca.2007.11.006","issn":"00167037","usgsCitation":"Lu, W., Chou, I., and Burruss, R., 2008, Determination of methane concentrations in water in equilibrium with sI methane hydrate in the absence of a vapor phase by in situ Raman spectroscopy: Geochimica et Cosmochimica Acta, v. 72, no. 2, p. 412-422, https://doi.org/10.1016/j.gca.2007.11.006.","startPage":"412","endPage":"422","numberOfPages":"11","costCenters":[],"links":[{"id":214193,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2007.11.006"},{"id":241888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ffb6e4b0c8380cd4f34e","contributors":{"authors":[{"text":"Lu, W.","contributorId":47576,"corporation":false,"usgs":true,"family":"Lu","given":"W.","email":"","affiliations":[],"preferred":false,"id":441283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chou, I.-M. 0000-0001-5233-6479","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":44283,"corporation":false,"usgs":true,"family":"Chou","given":"I.-M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":441282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burruss, R.C. 0000-0001-6827-804X","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":99574,"corporation":false,"usgs":true,"family":"Burruss","given":"R.C.","affiliations":[],"preferred":false,"id":441284,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033533,"text":"70033533 - 2008 - Use of sinkhole and specific capacity distributions to assess vertical gradients in a karst aquifer","interactions":[],"lastModifiedDate":"2012-03-12T17:21:34","indexId":"70033533","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1539,"text":"Environmental Geology","active":true,"publicationSubtype":{"id":10}},"title":"Use of sinkhole and specific capacity distributions to assess vertical gradients in a karst aquifer","docAbstract":"The carbonate-rock aquifer in the Great Valley, West Virginia, USA, was evaluated using a database of 687 sinkholes and 350 specific capacity tests to assess structural, lithologic, and topographic influences on the groundwater flow system. The enhanced permeability of the aquifer is characterized in part by the many sinkholes, springs, and solutionally enlarged fractures throughout the valley. Yet, vertical components of subsurface flow in this highly heterogeneous aquifer are currently not well understood. To address this problem, this study examines the apparent relation between geologic features of the aquifer and two spatial indices of enhanced permeability attributed to aquifer karstification: (1) the distribution of sinkholes and (2) the occurrence of wells with relatively high specific capacity. Statistical results indicate that sinkholes (funnel and collapse) occur primarily along cleavage and bedding planes parallel to subparallel to strike where lateral or downward vertical gradients are highest. Conversely, high specific capacity values are common along prominent joints perpendicular or oblique to strike. The similarity of the latter distribution to that of springs suggests these fractures are areas of upward-convergent flow. These differences between sinkhole and high specific capacity distributions suggest vertical flow components are primarily controlled by the orientation of geologic structure and associated subsurface fracturing. ?? 2007 Springer-Verlag.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00254-007-0889-1","issn":"09430105","usgsCitation":"McCoy, K., and Kozar, M., 2008, Use of sinkhole and specific capacity distributions to assess vertical gradients in a karst aquifer: Environmental Geology, v. 54, no. 5, p. 921-935, https://doi.org/10.1007/s00254-007-0889-1.","startPage":"921","endPage":"935","numberOfPages":"15","costCenters":[],"links":[{"id":214249,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00254-007-0889-1"},{"id":241949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-07-06","publicationStatus":"PW","scienceBaseUri":"505bbf7ce4b08c986b329bb2","contributors":{"authors":[{"text":"McCoy, K.J.","contributorId":93147,"corporation":false,"usgs":true,"family":"McCoy","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":441338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kozar, M.D.","contributorId":67544,"corporation":false,"usgs":true,"family":"Kozar","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":441337,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033534,"text":"70033534 - 2008 - Estimation of the bottleneck size in Florida panthers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:34","indexId":"70033534","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of the bottleneck size in Florida panthers","docAbstract":"We have estimated the extent of genetic variation in museum (1890s) and contemporary (1980s) samples of Florida panthers Puma concolor coryi for both nuclear loci and mtDNA. The microsatellite heterozygosity in the contemporary sample was only 0.325 that in the museum samples although our sample size and number of loci are limited. Support for this estimate is provided by a sample of 84 microsatellite loci in contemporary Florida panthers and Idaho pumas Puma concolor hippolestes in which the contemporary Florida panther sample had only 0.442 the heterozygosity of Idaho pumas. The estimated diversities in mtDNA in the museum and contemporary samples were 0.600 and 0.000, respectively. Using a population genetics approach, we have estimated that to reduce either the microsatellite heterozygosity or the mtDNA diversity this much (in a period of c. 80years during the 20th century when the numbers were thought to be low) that a very small bottleneck size of c. 2 for several generations and a small effective population size in other generations is necessary. Using demographic data from Yellowstone pumas, we estimated the ratio of effective to census population size to be 0.315. Using this ratio, the census population size in the Florida panthers necessary to explain the loss of microsatellite variation was c .41 for the non-bottleneck generations and 6.2 for the two bottleneck generations. These low bottleneck population sizes and the concomitant reduced effectiveness of selection are probably responsible for the high frequency of several detrimental traits in Florida panthers, namely undescended testicles and poor sperm quality. The recent intensive monitoring both before and after the introduction of Texas pumas in 1995 will make the recovery and genetic restoration of Florida panthers a classic study of an endangered species. Our estimates of the bottleneck size responsible for the loss of genetic variation in the Florida panther completes an unknown aspect of this account. ?? 2008 The Authors. Journal compilation ?? 2008 The Zoological Society of London.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1469-1795.2007.00154.x","issn":"13679430","usgsCitation":"Culver, M., Hedrick, P., Murphy, K., O'Brien, S., and Hornocker, M., 2008, Estimation of the bottleneck size in Florida panthers: Animal Conservation, v. 11, no. 2, p. 104-110, https://doi.org/10.1111/j.1469-1795.2007.00154.x.","startPage":"104","endPage":"110","numberOfPages":"7","costCenters":[],"links":[{"id":214250,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2007.00154.x"},{"id":241950,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-02-15","publicationStatus":"PW","scienceBaseUri":"505a0bb5e4b0c8380cd5283a","contributors":{"authors":[{"text":"Culver, M.","contributorId":92462,"corporation":false,"usgs":true,"family":"Culver","given":"M.","email":"","affiliations":[],"preferred":false,"id":441343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hedrick, P.W.","contributorId":6014,"corporation":false,"usgs":true,"family":"Hedrick","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":441339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, K.","contributorId":89865,"corporation":false,"usgs":false,"family":"Murphy","given":"K.","email":"","affiliations":[],"preferred":false,"id":441342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Brien, S.","contributorId":82934,"corporation":false,"usgs":true,"family":"O'Brien","given":"S.","affiliations":[],"preferred":false,"id":441341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hornocker, M.G.","contributorId":14651,"corporation":false,"usgs":true,"family":"Hornocker","given":"M.G.","affiliations":[],"preferred":false,"id":441340,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031953,"text":"70031953 - 2008 - Application of multiple isotopic and geochemical tracers for investigation of recharge, salinization, and residence time of water in the Souss-Massa aquifer, southwest of Morocco","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70031953","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Application of multiple isotopic and geochemical tracers for investigation of recharge, salinization, and residence time of water in the Souss-Massa aquifer, southwest of Morocco","docAbstract":"Groundwater and surface water in Souss-Massa basin in the west-southern part of Morocco is characterized by a large variation in salinity, up to levels of 37 g L-1. The high salinity coupled with groundwater level decline pose serious problems for current irrigation and domestic water supplies as well as future exploitation. A combined hydrogeologic and isotopic investigation using several chemical and isotopic tracers such as Br/Cl, ??18O, ??2H, 3H, 87Sr/86Sr, ??11B, and 14C was carried out in order to determine the sources of water recharge to the aquifer, the origin of salinity, and the residence time of water. Stable isotope, 3H and 14C data indicate that the high Atlas mountains in the northern margin of the Souss-Massa basin with high rainfall and low ??18O and ??2H values (-6 to -8??? and -36 to -50???) is currently constitute the major source of recharge to the Souss-Massa shallow aquifer, particularly along the eastern part of the basin. Localized stable isotope enrichments offset meteoric isotopic signature and are associated with high nitrate concentrations, which infer water recycling via water agricultural return flows. The 3H and 14C data suggest that the residence time of water in the western part of the basin is in the order of several thousands of years; hence old water is mined, particularly in the coastal areas. The multiple isotope analyses and chemical tracing of groundwater from the basin reveal that seawater intrusion is just one of multiple salinity sources that affect the quality of groundwater in the Souss-Massa aquifer. We differentiate between modern seawater intrusion, salinization by remnants of seawater entrapped in the middle Souss plains, recharge of nitrate-rich agricultural return flow, and dissolution of evaporate rocks (gypsum and halite minerals) along the outcrops of the high Atlas mountains. The data generated in this study provide the framework for a comprehensive management plan in which water exploitation should shift toward the eastern part of the basin where current recharge occurs with young and high quality groundwater. In contrast, we argued that the heavily exploited aquifer along the coastal areas is more vulnerable given the relatively longer residence time of the water and salinization processes in this part of the aquifer. ?? 2008 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2008.01.022","issn":"00221694","usgsCitation":"Bouchaou, L., Michelot, J., Vengosh, A., Hsissou, Y., Qurtobi, M., Gaye, C., Bullen, T., and Zuppi, G., 2008, Application of multiple isotopic and geochemical tracers for investigation of recharge, salinization, and residence time of water in the Souss-Massa aquifer, southwest of Morocco: Journal of Hydrology, v. 352, no. 3-4, p. 267-287, https://doi.org/10.1016/j.jhydrol.2008.01.022.","startPage":"267","endPage":"287","numberOfPages":"21","costCenters":[],"links":[{"id":214775,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2008.01.022"},{"id":242525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"352","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eca8e4b0c8380cd493fa","contributors":{"authors":[{"text":"Bouchaou, L.","contributorId":51556,"corporation":false,"usgs":true,"family":"Bouchaou","given":"L.","affiliations":[],"preferred":false,"id":433862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michelot, J.L.","contributorId":58483,"corporation":false,"usgs":true,"family":"Michelot","given":"J.L.","affiliations":[],"preferred":false,"id":433864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vengosh, A.","contributorId":88925,"corporation":false,"usgs":true,"family":"Vengosh","given":"A.","affiliations":[],"preferred":false,"id":433868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsissou, Y.","contributorId":22596,"corporation":false,"usgs":true,"family":"Hsissou","given":"Y.","email":"","affiliations":[],"preferred":false,"id":433861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qurtobi, M.","contributorId":78957,"corporation":false,"usgs":true,"family":"Qurtobi","given":"M.","email":"","affiliations":[],"preferred":false,"id":433866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaye, C.B.","contributorId":56017,"corporation":false,"usgs":true,"family":"Gaye","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":433863,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bullen, T.D.","contributorId":79911,"corporation":false,"usgs":true,"family":"Bullen","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":433867,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zuppi, G.M.","contributorId":66079,"corporation":false,"usgs":true,"family":"Zuppi","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":433865,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70032759,"text":"70032759 - 2008 - Increased terrestrial to ocean sediment and carbon fluxes in the northern Chesapeake Bay associated with twentieth century land alteration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:24","indexId":"70032759","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Increased terrestrial to ocean sediment and carbon fluxes in the northern Chesapeake Bay associated with twentieth century land alteration","docAbstract":"We calculated Chesapeake Bay (CB) sediment and carbon fluxes before and after major anthropogenic land clearance using robust monitoring, modeling and sedimentary data. Four distinct fluxes in the estuarine system were considered including (1) the flux of eroded material from the watershed to streams, (2) the flux of suspended sediment at river fall lines, (3) the burial flux in tributary sediments, and (4) the burial flux in main CB sediments. The sedimentary maximum in Ambrosia (ragweed) pollen marked peak land clearance (~1900 a.d.). Rivers feeding CB had a total organic carbon (TOC)/total suspended solids of 0.24??0.12, and we used this observation to calculate TOC fluxes from sediment fluxes. Sediment and carbon fluxes increased by 138-269% across all four regions after land clearance. Our results demonstrate that sediment delivery to CB is subject to significant lags and that excess post-land clearance sediment loads have not reached the ocean. Post-land clearance increases in erosional flux from watersheds, and burial in estuaries are important processes that must be considered to calculate accurate global sediment and carbon budgets. ?? 2008 Coastal and Estuarine Research Federation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12237-008-9048-5","issn":"15592723","usgsCitation":"Saenger, C., Cronin, T.M., Willard, D., Halka, J., and Kerhin, R., 2008, Increased terrestrial to ocean sediment and carbon fluxes in the northern Chesapeake Bay associated with twentieth century land alteration: Estuaries and Coasts, v. 31, no. 3, p. 492-500, https://doi.org/10.1007/s12237-008-9048-5.","startPage":"492","endPage":"500","numberOfPages":"9","costCenters":[],"links":[{"id":213802,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-008-9048-5"},{"id":241461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-05-02","publicationStatus":"PW","scienceBaseUri":"505a39fde4b0c8380cd61af6","contributors":{"authors":[{"text":"Saenger, C.","contributorId":19363,"corporation":false,"usgs":true,"family":"Saenger","given":"C.","affiliations":[],"preferred":false,"id":437787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, T. M. 0000-0002-2643-0979","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":42613,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":437790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, D. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":67676,"corporation":false,"usgs":true,"family":"Willard","given":"D.","affiliations":[],"preferred":false,"id":437791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halka, J.","contributorId":40021,"corporation":false,"usgs":true,"family":"Halka","given":"J.","email":"","affiliations":[],"preferred":false,"id":437789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kerhin, R.","contributorId":25317,"corporation":false,"usgs":true,"family":"Kerhin","given":"R.","affiliations":[],"preferred":false,"id":437788,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031846,"text":"70031846 - 2008 - Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System","interactions":[],"lastModifiedDate":"2017-08-28T10:25:18","indexId":"70031846","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2228,"text":"Journal of Computational Physics","active":true,"publicationSubtype":{"id":10}},"title":"Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System","docAbstract":"<p>Systematic improvements in algorithmic design of regional ocean circulation models have led to significant enhancement in simulation ability across a wide range of space/time scales and marine system types. As an example, we briefly review the Regional Ocean Modeling System, a member of a general class of three-dimensional, free-surface, terrain-following numerical models. Noteworthy characteristics of the ROMS computational kernel include: consistent temporal averaging of the barotropic mode to guarantee both exact conservation and constancy preservation properties for tracers; redefined barotropic pressure-gradient terms to account for local variations in the density field; vertical interpolation performed using conservative parabolic splines; and higher-order, quasi-monotone advection algorithms. Examples of quantitative skill assessment are shown for a tidally driven estuary, an ice-covered high-latitude sea, a wind- and buoyancy-forced continental shelf, and a mid-latitude ocean basin. The combination of moderate-order spatial approximations, enhanced conservation properties, and quasi-monotone advection produces both more robust and accurate, and less diffusive, solutions than those produced in earlier terrain-following ocean models. Together with advanced methods of data assimilation and novel observing system technologies, these capabilities constitute the necessary ingredients for multi-purpose regional ocean prediction systems.&nbsp;</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Computational Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jcp.2007.06.016","issn":"00219991","usgsCitation":"Haidvogel, D., Arango, H., Budgell, W., Cornuelle, B., Curchitser, E., Di, L.E., Fennel, K., Geyer, W., Hermann, A., Lanerolle, L., Levin, J., McWilliams, J., Miller, A., Moore, A., Powell, T., Shchepetkin, A., Sherwood, C.R., Signell, R.P., Warner, J., and Wilkin, J., 2008, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System: Journal of Computational Physics, v. 227, no. 7, p. 3595-3624, https://doi.org/10.1016/j.jcp.2007.06.016.","productDescription":"30 p.","startPage":"3595","endPage":"3624","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":214702,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jcp.2007.06.016"},{"id":242450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6c91e4b0c8380cd74cba","contributors":{"authors":[{"text":"Haidvogel, D.B.","contributorId":94875,"corporation":false,"usgs":true,"family":"Haidvogel","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":433411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arango, H.","contributorId":20994,"corporation":false,"usgs":true,"family":"Arango","given":"H.","email":"","affiliations":[],"preferred":false,"id":433396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budgell, W.P.","contributorId":80501,"corporation":false,"usgs":true,"family":"Budgell","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":433404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornuelle, B.D.","contributorId":13456,"corporation":false,"usgs":true,"family":"Cornuelle","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":433395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curchitser, E.","contributorId":86191,"corporation":false,"usgs":true,"family":"Curchitser","given":"E.","affiliations":[],"preferred":false,"id":433405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Di, Lorenzo E.","contributorId":100629,"corporation":false,"usgs":true,"family":"Di","given":"Lorenzo","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":433413,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fennel, K.","contributorId":89361,"corporation":false,"usgs":true,"family":"Fennel","given":"K.","affiliations":[],"preferred":false,"id":433410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geyer, W.R.","contributorId":62355,"corporation":false,"usgs":true,"family":"Geyer","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":433402,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hermann, A.J.","contributorId":96493,"corporation":false,"usgs":true,"family":"Hermann","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":433412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lanerolle, L.","contributorId":51112,"corporation":false,"usgs":true,"family":"Lanerolle","given":"L.","email":"","affiliations":[],"preferred":false,"id":433401,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Levin, J.","contributorId":25779,"corporation":false,"usgs":true,"family":"Levin","given":"J.","email":"","affiliations":[],"preferred":false,"id":433397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McWilliams, J.C.","contributorId":37553,"corporation":false,"usgs":true,"family":"McWilliams","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":433398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, A.J.","contributorId":70119,"corporation":false,"usgs":true,"family":"Miller","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":433403,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Moore, A.M.","contributorId":87909,"corporation":false,"usgs":true,"family":"Moore","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":433406,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Powell, T.M.","contributorId":88090,"corporation":false,"usgs":true,"family":"Powell","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":433407,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Shchepetkin, A.F.","contributorId":6275,"corporation":false,"usgs":true,"family":"Shchepetkin","given":"A.F.","email":"","affiliations":[],"preferred":false,"id":433394,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sherwood, C. R.","contributorId":48235,"corporation":false,"usgs":true,"family":"Sherwood","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":433400,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Signell, R. P.","contributorId":89147,"corporation":false,"usgs":true,"family":"Signell","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":433409,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Warner, J.C.","contributorId":46644,"corporation":false,"usgs":true,"family":"Warner","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":433399,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wilkin, J.","contributorId":88163,"corporation":false,"usgs":true,"family":"Wilkin","given":"J.","email":"","affiliations":[],"preferred":false,"id":433408,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70033225,"text":"70033225 - 2008 - Prioritizing conservation effort through the use of biological soil crusts as ecosystem function indicators in an arid region","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033225","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing conservation effort through the use of biological soil crusts as ecosystem function indicators in an arid region","docAbstract":"Conservation prioritization usually focuses on conservation of rare species or biodiversity, rather than ecological processes. This is partially due to a lack of informative indicators of ecosystem function. Biological soil crusts (BSCs) trap and retain soil and water resources in arid ecosystems and function as major carbon and nitrogen fixers; thus, they may be informative indicators of ecosystem function. We created spatial models of multiple indicators of the diversity and function of BSCs (species richness, evenness, functional diversity, functional redundancy, number of rare species, number of habitat specialists, nitrogen and carbon fixation indices, soil stabilization, and surface roughening) for the 800,000-ha Grand Staircase-Escalante National Monument (Utah, U.S.A.). We then combined the indicators into a single BSC function map and a single BSC biodiversity map (2 alternative types of conservation value) with an unweighted averaging procedure and a weighted procedure derived from validations performance. We also modeled potential degradation with data from a rangeland assessment survey. To determine which areas on the landscape were the highest conservation priorities, we overlaid the function- and diversity-based conservation-value layers on the potential degradation layer. Different methods for ascribing conservation-value and conservation-priority layers all yielded strikingly similar results (r = 0.89-0.99), which suggests that in this case biodiversity and function can be conserved simultaneously. We believe BSCs can be used as indicators of ecosystem function in concert with other indicators (such as plant-community properties) and that such information can be used to prioritize conservation effort in drylands. ?? 2008 Society for Conservation Biology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1523-1739.2008.01036.x","issn":"08888","usgsCitation":"Bowker, M.A., Miller, M.E., Belnap, J., Sisk, T., and Johnson, N., 2008, Prioritizing conservation effort through the use of biological soil crusts as ecosystem function indicators in an arid region: Conservation Biology, v. 22, no. 6, p. 1533-1543, https://doi.org/10.1111/j.1523-1739.2008.01036.x.","startPage":"1533","endPage":"1543","numberOfPages":"11","costCenters":[],"links":[{"id":213218,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1523-1739.2008.01036.x"},{"id":240822,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-12-03","publicationStatus":"PW","scienceBaseUri":"505a8c72e4b0c8380cd7e6c2","contributors":{"authors":[{"text":"Bowker, M. A.","contributorId":18901,"corporation":false,"usgs":true,"family":"Bowker","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":439910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, M. E.","contributorId":104003,"corporation":false,"usgs":false,"family":"Miller","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":439914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":439911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sisk, T.D.","contributorId":54023,"corporation":false,"usgs":true,"family":"Sisk","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":439913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, N.C.","contributorId":29567,"corporation":false,"usgs":true,"family":"Johnson","given":"N.C.","email":"","affiliations":[],"preferred":false,"id":439912,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032007,"text":"70032007 - 2008 - Detection rates of the MODIS active fire product in the United States","interactions":[],"lastModifiedDate":"2017-04-03T12:31:34","indexId":"70032007","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detection rates of the MODIS active fire product in the United States","docAbstract":"MODIS active fire data offer new information about global fire patterns. However, uncertainties in detection rates can render satellite-derived fire statistics difficult to interpret. We evaluated the MODIS 1??km daily active fire product to quantify detection rates for both Terra and Aqua MODIS sensors, examined how cloud cover and fire size affected detection rates, and estimated how detection rates varied across the United States. MODIS active fire detections were compared to 361 reference fires (??? 18??ha) that had been delineated using pre- and post-fire Landsat imagery. Reference fires were considered detected if at least one MODIS active fire pixel occurred within 1??km of the edge of the fire. When active fire data from both Aqua and Terra were combined, 82% of all reference fires were found, but detection rates were less for Aqua and Terra individually (73% and 66% respectively). Fires not detected generally had more cloudy days, but not when the Aqua data were considered exclusively. MODIS detection rates decreased with fire size, and the size at which 50% of all fires were detected was 105??ha when combining Aqua and Terra (195??ha for Aqua and 334??ha for Terra alone). Across the United States, detection rates were greatest in the West, lower in the Great Plains, and lowest in the East. The MODIS active fire product captures large fires in the U.S. well, but may under-represent fires in areas with frequent cloud cover or rapidly burning, small, and low-intensity fires. We recommend that users of the MODIS active fire data perform individual validations to ensure that all relevant fires are included. ?? 2008 Elsevier Inc. All rights reserved.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2007.12.008","issn":"00344257","usgsCitation":"Hawbaker, T., Radeloff, V.C., Syphard, A., Zhu, Z., and Stewart, S.I., 2008, Detection rates of the MODIS active fire product in the United States: Remote Sensing of Environment, v. 112, no. 5, p. 2656-2664, https://doi.org/10.1016/j.rse.2007.12.008.","productDescription":"9 p.","startPage":"2656","endPage":"2664","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242824,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215055,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2007.12.008"}],"volume":"112","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ff7de4b0c8380cd4f20a","contributors":{"authors":[{"text":"Hawbaker, T. J.","contributorId":98118,"corporation":false,"usgs":true,"family":"Hawbaker","given":"T. J.","affiliations":[],"preferred":false,"id":434118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radeloff, V. C.","contributorId":58467,"corporation":false,"usgs":false,"family":"Radeloff","given":"V.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":434116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Syphard, A.D.","contributorId":68950,"corporation":false,"usgs":true,"family":"Syphard","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":434117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Z.","contributorId":10898,"corporation":false,"usgs":true,"family":"Zhu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":434115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, S. I.","contributorId":99779,"corporation":false,"usgs":false,"family":"Stewart","given":"S.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":434119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032014,"text":"70032014 - 2008 - Simulation of fluid, heat transport to estimate desert stream infiltration","interactions":[],"lastModifiedDate":"2018-09-19T09:18:16","indexId":"70032014","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of fluid, heat transport to estimate desert stream infiltration","docAbstract":"In semiarid regions, the contribution of infiltration from intermittent streamflow to ground water recharge may be quantified by comparing simulations of fluid and heat transport beneath stream channels to observed ground temperatures. In addition to quantifying natural recharge, streamflow infiltration estimates provide a means to characterize the physical properties of stream channel sediments and to identify suitable locations for artificial recharge sites. Rates of winter streamflow infiltration along stream channels are estimated based on the cooling effect of infiltrated water on streambed sediments, combined with the simulation of two-dimensional fluid and heat transport using the computer program VS2DH. The cooling effect of ground water is determined by measuring ground temperatures at regular intervals beneath stream channels and nearby channel banks in order to calculate temperature-depth profiles. Additional data inputs included the physical, hydraulic, and thermal properties of unsaturated alluvium, and monthly ground temperatures measurements over an annual cycle. Observed temperatures and simulation results can provide estimates of the minimum threshold for deep infiltration, the variability of infiltration along stream channels, and also the frequency of infiltration events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2007.00403.x","issn":"0017467X","usgsCitation":"Kulongoski, J., and Izbicki, J., 2008, Simulation of fluid, heat transport to estimate desert stream infiltration: Ground Water, v. 46, no. 3, p. 462-474, https://doi.org/10.1111/j.1745-6584.2007.00403.x.","startPage":"462","endPage":"474","numberOfPages":"13","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":214650,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2007.00403.x"},{"id":242394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-01-09","publicationStatus":"PW","scienceBaseUri":"505b9027e4b08c986b319354","contributors":{"authors":[{"text":"Kulongoski, J.T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":61213,"corporation":false,"usgs":true,"family":"Kulongoski","given":"J.T.","affiliations":[],"preferred":false,"id":434142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, J. A. 0000-0003-0816-4408","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":28244,"corporation":false,"usgs":true,"family":"Izbicki","given":"J. A.","affiliations":[],"preferred":false,"id":434141,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032015,"text":"70032015 - 2008 - Coastal typology: An integrative \"neutral\" technique for coastal zone characterization and analysis","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70032015","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Coastal typology: An integrative \"neutral\" technique for coastal zone characterization and analysis","docAbstract":"Typology, the 'study or systematic classification of types that have characteristics or traits in common', has become a commonly used term and technique in coastal zone studies over the past two decades. At least part of this is due to adoption by the first Land-Ocean Interactions in the Coastal Zone (LOICZ) project of a typological approach as a way to understand and organize the daunting diversity of natural and human systems comprising the world coastal zone, and to the concurrent development of tools and databases to support systematic applications. This paper reviews some of the history of the term 'typology' and the concepts and techniques that it subsumes, and discusses its adoption and adaptation in coastal studies. It also addresses the continued and increasing relevance of typology to the continuation of the LOICZ project and its objectives, and outlines the opportunities and challenges involved in realizing the potentials of the approach - both within LOICZ and for the scientific and coastal zone communities in general. ?? 2007 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecss.2007.09.021","issn":"02727714","usgsCitation":"Buddemeier, R., Smith, S.V., Swaney, D., Crossland, C., and Maxwell, B., 2008, Coastal typology: An integrative \"neutral\" technique for coastal zone characterization and analysis: Estuarine, Coastal and Shelf Science, v. 77, no. 2, p. 197-205, https://doi.org/10.1016/j.ecss.2007.09.021.","startPage":"197","endPage":"205","numberOfPages":"9","costCenters":[],"links":[{"id":214651,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2007.09.021"},{"id":242395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f789e4b0c8380cd4cb8e","contributors":{"authors":[{"text":"Buddemeier, R. W.","contributorId":86492,"corporation":false,"usgs":true,"family":"Buddemeier","given":"R. W.","affiliations":[],"preferred":false,"id":434146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. V.","contributorId":89284,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":434147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swaney, D.P.","contributorId":68956,"corporation":false,"usgs":true,"family":"Swaney","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":434145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crossland, C.J.","contributorId":31169,"corporation":false,"usgs":true,"family":"Crossland","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":434144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maxwell, B.A.","contributorId":7516,"corporation":false,"usgs":true,"family":"Maxwell","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":434143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033535,"text":"70033535 - 2008 - Identifying mangrove species and their surrounding land use and land cover classes using object-oriented approach with a lacunarity spatial measure","interactions":[],"lastModifiedDate":"2017-04-03T12:54:02","indexId":"70033535","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Identifying mangrove species and their surrounding land use and land cover classes using object-oriented approach with a lacunarity spatial measure","docAbstract":"Accurate and reliable information on the spatial distribution of mangrove species is needed for a wide variety of applications, including sustainable management of mangrove forests, conservation and reserve planning, ecological and biogeographical studies, and invasive species management. Remotely sensed data have been used for such purposes with mixed results. Our study employed an object-oriented approach with the use of a lacunarity technique to identify different mangrove species and their surrounding land use and land cover classes in a tsunami-affected area of Thailand using Landsat satellite data. Our results showed that the object-oriented approach with lacunarity-transformed bands is more accurate (over-all accuracy 94.2%; kappa coefficient = 0.91) than traditional per-pixel classifiers (overall accuracy 62.8%; and kappa coefficient = 0.57). Copyright ?? 2008 by Bellwether Publishing, Ltd. All rights reserved.","language":"English","publisher":"Taylor & Francis","usgsCitation":"Myint, S., Giri, C., Wang, L., Zhu, Z., and Gillete, S., 2008, Identifying mangrove species and their surrounding land use and land cover classes using object-oriented approach with a lacunarity spatial measure: GIScience and Remote Sensing, v. 45, no. 2, p. 188-208.","productDescription":"21 p.","startPage":"188","endPage":"208","numberOfPages":"21","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214277,"rank":9999,"type":{"id":15,"text":"Index Page"},"url":"https://www.tandfonline.com/doi/abs/10.2747/1548-1603.45.2.188"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a384fe4b0c8380cd61510","contributors":{"authors":[{"text":"Myint, S.W.","contributorId":18103,"corporation":false,"usgs":true,"family":"Myint","given":"S.W.","affiliations":[],"preferred":false,"id":441345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, C.P.","contributorId":29647,"corporation":false,"usgs":true,"family":"Giri","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":441346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, L.","contributorId":76904,"corporation":false,"usgs":true,"family":"Wang","given":"L.","email":"","affiliations":[],"preferred":false,"id":441348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Z.","contributorId":10898,"corporation":false,"usgs":true,"family":"Zhu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":441344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillete, S.C.","contributorId":51553,"corporation":false,"usgs":true,"family":"Gillete","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":441347,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033537,"text":"70033537 - 2008 - Using accelerated life testing procedures to compare the relative sensitivity of rainbow trout and the federally listed threatened bull trout to three commonly used rangeland herbicides (picloram, 2,4-D, and clopyralid)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:34","indexId":"70033537","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Using accelerated life testing procedures to compare the relative sensitivity of rainbow trout and the federally listed threatened bull trout to three commonly used rangeland herbicides (picloram, 2,4-D, and clopyralid)","docAbstract":"We conducted 96-h static acute toxicity studies to evaluate the relative sensitivity of juveniles of the threatened bull trout (Salvelinus confluentus) and the standard cold-water surrogate rainbow trout (Onchorhyncus mykiss) to three rangeland herbicides commonly used for controlling invasive weeds in the northwestern United States. Relative species sensitivity was compared using three procedures: standard acute toxicity testing, fractional estimates of lethal concentrations, and accelerated life testing chronic estimation procedures. The acutely lethal concentrations (ALC) resulting in 50% mortality at 96 h (96-h ALC50s) were determined using linear regression and indicated that the three herbicides were toxic in the order of picloram acid > 2,4-D acid > clopyralid acid. The 96-h ALC50 values for rainbow trout were as follows: picloram, 41 mg/L; 2.4-D, 707 mg/L; and clopyralid, 700 mg/L. The 96-h ALC50 values for bull trout were as follows: picloram, 24 mg/L; 2.4-D, 398 mg/L; and clopyralid, 802 mg/L. Fractional estimates of safe concentrations, based on 5% of the 96-h ALC50, were conservative (overestimated toxicity) of regression-derived 96-h ALC5 values by an order of magnitude. Accelerated life testing procedures were used to estimate chronic lethal concentrations (CLC) resulting in 1% mortality at 30 d (30-d CLC1) for the three herbicides: picloram (1 mg/L rainbow trout, 5 mg/L bull trout), 2,4-D (56 mg/L rainbow trout, 84 mg/L bull trout), and clopyralid (477 mg/L rainbow trout; 552 mg/L bull trout). Collectively, the results indicated that the standard surrogate rainbow trout is similar in sensitivity to bull trout. Accelerated life testing procedures provided cost-effective, statistically defensible methods for estimating safe chronic concentrations (30-d CLC1s) of herbicides from acute toxicity data because they use statistical models based on the entire mortality:concentration: time data matrix. ?? 2008 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1897/07-342.1","issn":"07307268","usgsCitation":"Fairchild, J., Allert, A., Sappington, L., Nelson, K., and Valle, J., 2008, Using accelerated life testing procedures to compare the relative sensitivity of rainbow trout and the federally listed threatened bull trout to three commonly used rangeland herbicides (picloram, 2,4-D, and clopyralid): Environmental Toxicology and Chemistry, v. 27, no. 3, p. 623-630, https://doi.org/10.1897/07-342.1.","startPage":"623","endPage":"630","numberOfPages":"8","costCenters":[],"links":[{"id":214307,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/07-342.1"},{"id":242018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-03-01","publicationStatus":"PW","scienceBaseUri":"505bc02be4b08c986b329f83","contributors":{"authors":[{"text":"Fairchild, J.F.","contributorId":88891,"corporation":false,"usgs":true,"family":"Fairchild","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":441355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allert, A.","contributorId":95280,"corporation":false,"usgs":true,"family":"Allert","given":"A.","email":"","affiliations":[],"preferred":false,"id":441356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sappington, L.S.","contributorId":52411,"corporation":false,"usgs":true,"family":"Sappington","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":441354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, K.J.","contributorId":36957,"corporation":false,"usgs":true,"family":"Nelson","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":441353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valle, J.","contributorId":8685,"corporation":false,"usgs":true,"family":"Valle","given":"J.","email":"","affiliations":[],"preferred":false,"id":441352,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032814,"text":"70032814 - 2008 - Transient deterministic shallow landslide modeling: Requirements for susceptibility and hazard assessments in a GIS framework","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70032814","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Transient deterministic shallow landslide modeling: Requirements for susceptibility and hazard assessments in a GIS framework","docAbstract":"Application of transient deterministic shallow landslide models over broad regions for hazard and susceptibility assessments requires information on rainfall, topography and the distribution and properties of hillside materials. We survey techniques for generating the spatial and temporal input data for such models and present an example using a transient deterministic model that combines an analytic solution to assess the pore-pressure response to rainfall infiltration with an infinite-slope stability calculation. Pore-pressures and factors of safety are computed on a cell-by-cell basis and can be displayed or manipulated in a grid-based GIS. Input data are high-resolution (1.8??m) topographic information derived from LiDAR data and simple descriptions of initial pore-pressure distribution and boundary conditions for a study area north of Seattle, Washington. Rainfall information is taken from a previously defined empirical rainfall intensity-duration threshold and material strength and hydraulic properties were measured both in the field and laboratory. Results are tested by comparison with a shallow landslide inventory. Comparison of results with those from static infinite-slope stability analyses assuming fixed water-table heights shows that the spatial prediction of shallow landslide susceptibility is improved using the transient analyses; moreover, results can be depicted in terms of the rainfall intensity and duration known to trigger shallow landslides in the study area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Engineering Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.enggeo.2008.03.019","issn":"00137","usgsCitation":"Godt, J., Baum, R., Savage, W.Z., Salciarini, D., Schulz, W., and Harp, E.L., 2008, Transient deterministic shallow landslide modeling: Requirements for susceptibility and hazard assessments in a GIS framework: Engineering Geology, v. 102, no. 3-4, p. 214-226, https://doi.org/10.1016/j.enggeo.2008.03.019.","startPage":"214","endPage":"226","numberOfPages":"13","costCenters":[],"links":[{"id":214055,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.enggeo.2008.03.019"},{"id":241742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb6fae4b08c986b326fa1","contributors":{"authors":[{"text":"Godt, J. W.","contributorId":76732,"corporation":false,"usgs":true,"family":"Godt","given":"J. W.","affiliations":[],"preferred":false,"id":438035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, R.L.","contributorId":68752,"corporation":false,"usgs":true,"family":"Baum","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":438034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savage, W. Z.","contributorId":106481,"corporation":false,"usgs":true,"family":"Savage","given":"W.","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":438036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salciarini, D.","contributorId":59255,"corporation":false,"usgs":true,"family":"Salciarini","given":"D.","affiliations":[],"preferred":false,"id":438032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schulz, W.H.","contributorId":61225,"corporation":false,"usgs":true,"family":"Schulz","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":438033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harp, E. L.","contributorId":59026,"corporation":false,"usgs":true,"family":"Harp","given":"E.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":438031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033541,"text":"70033541 - 2008 - Depth distribution dynamics of the sculpin community in Lake Michigan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033541","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Depth distribution dynamics of the sculpin community in Lake Michigan","docAbstract":"Using data from our annual lakewide bottom trawl survey of Lake Michigan, we calculated the mean depths of capture for deepwater sculpin Myoxocephalus thompsonii and slimy sculpin Cottus cognatus for each combination of transect (Frankfort, Ludington, Saugatuck, and Manistique in Michigan, Waukegan in Illinois, and Port Washington and Sturgeon Bay in Wisconsin) and year (1973-2005). The mean depth of capture of both sculpin species significantly decreased during the recovery phase of the deepwater sculpin population at four of the transects but did not significantly change for either species at the other three transects during this time. During the postrecovery phase of the deepwater sculpin population, the mean depth of capture of deepwater sculpins significantly increased at six of the seven transects, whereas that for slimy sculpins significantly increased at only four of the seven transects. The mean depth of capture of deepwater sculpins was most strongly correlated with that of slimy sculpins at Frankfort (r = 0.73); the correlation was weakest at Manistique (r = 0.00). Long-term mean depths of capture (averaged over all years) for deepwater sculpins ranged from 90 to 108 m among the seven transects, whereas the long-term mean depths of capture for slimy sculpins ranged from 60 to 83 m. The long-term mean depth difference between the two species was least at Frankfort (21 m) and greatest at Manistique (38 m); at all seven transects, the mean depth difference was significantly greater than zero. We concluded that these two sculpin populations in Lake Michigan maintained some degree of spatial separation during 1973-2005.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T07-001.1","issn":"00028","usgsCitation":"Madenjian, C., and Bunnell, D., 2008, Depth distribution dynamics of the sculpin community in Lake Michigan: Transactions of the American Fisheries Society, v. 137, no. 5, p. 1346-1357, https://doi.org/10.1577/T07-001.1.","startPage":"1346","endPage":"1357","numberOfPages":"12","costCenters":[],"links":[{"id":214336,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T07-001.1"},{"id":242053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"5059fecee4b0c8380cd4ef3b","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":441372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, D.B.","contributorId":8610,"corporation":false,"usgs":true,"family":"Bunnell","given":"D.B.","affiliations":[],"preferred":false,"id":441371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031924,"text":"70031924 - 2008 - Representing general theoretical concepts in structural equation models: The role of composite variables","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70031924","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Representing general theoretical concepts in structural equation models: The role of composite variables","docAbstract":"Structural equation modeling (SEM) holds the promise of providing natural scientists the capacity to evaluate complex multivariate hypotheses about ecological systems. Building on its predecessors, path analysis and factor analysis, SEM allows for the incorporation of both observed and unobserved (latent) variables into theoretically-based probabilistic models. In this paper we discuss the interface between theory and data in SEM and the use of an additional variable type, the composite. In simple terms, composite variables specify the influences of collections of other variables and can be helpful in modeling heterogeneous concepts of the sort commonly of interest to ecologists. While long recognized as a potentially important element of SEM, composite variables have received very limited use, in part because of a lack of theoretical consideration, but also because of difficulties that arise in parameter estimation when using conventional solution procedures. In this paper we present a framework for discussing composites and demonstrate how the use of partially-reduced-form models can help to overcome some of the parameter estimation and evaluation problems associated with models containing composites. Diagnostic procedures for evaluating the most appropriate and effective use of composites are illustrated with an example from the ecological literature. It is argued that an ability to incorporate composite variables into structural equation models may be particularly valuable in the study of natural systems, where concepts are frequently multifaceted and the influence of suites of variables are often of interest. ?? Springer Science+Business Media, LLC 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Ecological Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10651-007-0047-7","issn":"13528505","usgsCitation":"Grace, J., and Bollen, K., 2008, Representing general theoretical concepts in structural equation models: The role of composite variables: Environmental and Ecological Statistics, v. 15, no. 2, p. 191-213, https://doi.org/10.1007/s10651-007-0047-7.","startPage":"191","endPage":"213","numberOfPages":"23","costCenters":[],"links":[{"id":214773,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10651-007-0047-7"},{"id":242523,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-10-23","publicationStatus":"PW","scienceBaseUri":"505aa883e4b0c8380cd8594e","contributors":{"authors":[{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":433745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollen, K.A.","contributorId":35143,"corporation":false,"usgs":true,"family":"Bollen","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":433744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033543,"text":"70033543 - 2008 - Anatomy of the Chesapeake Bay impact structure revealed by seismic imaging, Delmarva Peninsula, Virginia, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033543","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Anatomy of the Chesapeake Bay impact structure revealed by seismic imaging, Delmarva Peninsula, Virginia, USA","docAbstract":"A 30-km-long, radial seismic reflection and refraction survey completed across the northern part of the late Eocene Chesapeake Bay impact structure (CBIS) on the Delmarva Peninsula, Virginia, USA, confirms that the CBIS is a complex central-peak crater. We used a tomographic P wave velocity model and low-fold reflection images, constrained by data from two deep boreholes located on the profile, to interpret the structure and composition of the upper 5 km of crust. The seismic images exhibit well-defined structural features, including (with increasing radial distance) a collapsed central uplift, a breccia-filled moat, and a collapsed transient-crater margin (which collectively constitute a ???40-km-wide collapsed transient crater), and a shallowly deformed annular trough. These seismic images are the first to resolve the deep structure of the crater (>1 km) and the boundaries between the central uplift, moat, and annular trough. Several distinct seismic signatures distinguish breccia units from each other and from more coherent crystalline rocks below the central uplift, moat, and annular trough. Within the moat, breccia extends to a minimum depth of 1.5 km or a maximum of 3.5 km, depending upon the interpretation of the deepest layered materials. The images show ???350 to 500 m of postimpact sediments above the impactites. The imaged structure of the CBIS indicates a complex sequence of event during the cratering process that will provide new constraints for numerical modeling. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007JB005421","issn":"01480","usgsCitation":"Catchings, R.D., Powars, D., Gohn, G.S., Horton, J.W., Goldman, M.R., and Hole, J., 2008, Anatomy of the Chesapeake Bay impact structure revealed by seismic imaging, Delmarva Peninsula, Virginia, USA: Journal of Geophysical Research B: Solid Earth, v. 113, no. 8, https://doi.org/10.1029/2007JB005421.","costCenters":[],"links":[{"id":214364,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007JB005421"},{"id":242085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-08-22","publicationStatus":"PW","scienceBaseUri":"5059ebf1e4b0c8380cd48fa5","contributors":{"authors":[{"text":"Catchings, R. D.","contributorId":98738,"corporation":false,"usgs":true,"family":"Catchings","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":441380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, D.S.","contributorId":7303,"corporation":false,"usgs":true,"family":"Powars","given":"D.S.","affiliations":[],"preferred":false,"id":441377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gohn, G. S.","contributorId":25937,"corporation":false,"usgs":true,"family":"Gohn","given":"G.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":441378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":81184,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[],"preferred":false,"id":441379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldman, M. R.","contributorId":106934,"corporation":false,"usgs":true,"family":"Goldman","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":441382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hole, J.A.","contributorId":103422,"corporation":false,"usgs":true,"family":"Hole","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":441381,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032063,"text":"70032063 - 2008 - Geophysical data integration, stochastic simulation and significance analysis of groundwater responses using ANOVA in the Chicot Aquifer system, Louisiana, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70032063","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical data integration, stochastic simulation and significance analysis of groundwater responses using ANOVA in the Chicot Aquifer system, Louisiana, USA","docAbstract":"Data integration is challenging where there are different levels of support between primary and secondary data that need to be correlated in various ways. A geostatistical method is described, which integrates the hydraulic conductivity (K) measurements and electrical resistivity data to better estimate the K distribution in the Upper Chicot Aquifer of southwestern Louisiana, USA. The K measurements were obtained from pumping tests and represent the primary (hard) data. Borehole electrical resistivity data from electrical logs were regarded as the secondary (soft) data, and were used to infer K values through Archie's law and the Kozeny-Carman equation. A pseudo cross-semivariogram was developed to cope with the resistivity data non-collocation. Uncertainties in the auto-semivariograms and pseudo cross-semivariogram were quantified. The groundwater flow model responses by the regionalized and coregionalized models of K were compared using analysis of variance (ANOVA). The results indicate that non-collocated secondary data may improve estimates of K and affect groundwater flow responses of practical interest, including specific capacity and drawdown. ?? Springer-Verlag 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10040-007-0258-x","issn":"14312174","usgsCitation":"Rahman, A., Tsai, F., White, C., Carlson, D., and Willson, C.S., 2008, Geophysical data integration, stochastic simulation and significance analysis of groundwater responses using ANOVA in the Chicot Aquifer system, Louisiana, USA: Hydrogeology Journal, v. 16, no. 4, p. 749-764, https://doi.org/10.1007/s10040-007-0258-x.","startPage":"749","endPage":"764","numberOfPages":"16","costCenters":[],"links":[{"id":214903,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-007-0258-x"},{"id":242662,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-03-05","publicationStatus":"PW","scienceBaseUri":"505a281ce4b0c8380cd59e3f","contributors":{"authors":[{"text":"Rahman, A.","contributorId":93171,"corporation":false,"usgs":true,"family":"Rahman","given":"A.","email":"","affiliations":[],"preferred":false,"id":434374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, F.T.-C.","contributorId":28343,"corporation":false,"usgs":true,"family":"Tsai","given":"F.T.-C.","email":"","affiliations":[],"preferred":false,"id":434370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C.D.","contributorId":46664,"corporation":false,"usgs":true,"family":"White","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":434371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, D.A.","contributorId":56856,"corporation":false,"usgs":true,"family":"Carlson","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":434372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willson, C. S.","contributorId":90440,"corporation":false,"usgs":false,"family":"Willson","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":434373,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}