Numerous studies have shown that a variety of manufactured and natural organic compounds such as pharmaceuticals, steroids, surfactants, flame retardants, fragrances, plasticizers and other chemicals often associated with wastewaters have been detected in the vicinity of municipal wastewater discharges and livestock agricultural facilities. To provide new data and insights about the environmental presence of some of these chemicals in untreated sources of drinking water in the United States targeted sites were sampled and analyzed for 100 analytes with sub-parts per billion detection capabilities. The sites included 25 ground- and 49 surface-water sources of drinking water serving populations ranging from one family to over 8 million people.
\nSixty-three of the 100 targeted chemicals were detected in at least one water sample. Interestingly, in spite of the low detection levels 60% of the 36 pharmaceuticals (including prescription drugs and antibiotics) analyzed were not detected in any water sample. The five most frequently detected chemicals targeted in surface water were: cholesterol (59%, natural sterol), metolachlor (53%, herbicide), cotinine (51%, nicotine metabolite), β-sitosterol (37%, natural plant sterol), and 1,7-dimethylxanthine (27%, caffeine metabolite); and in ground water: tetrachloroethylene (24%, solvent), carbamazepine (20%, pharmaceutical), bisphenol-A (20%, plasticizer), 1,7-dimethylxanthine (16%, caffeine metabolite), and tri (2-chloroethyl) phosphate (12%, fire retardant). A median of 4 compounds were detected per site indicating that the targeted chemicals generally occur in mixtures (commonly near detection levels) in the environment and likely originate from a variety of animal and human uses and waste sources. These data will help prioritize and determine the need, if any, for future occurrence, fate and transport, and health-effects research for subsets of these chemicals and their degradates most likely to be found in water resources used for drinking water in the United States.
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Although important advances based on the Cormack-Jolly-Seber (CJS) model have resulted in estimators of true survival that work by unconfounding either death or recapture probability from availability for capture in the study area, these methods rely on the researcher's ability to select a method that is correctly matched to emigration patterns in the population. If incorrect assumptions regarding site fidelity (non-movement) are made, it may be difficult or impossible as well as costly to change the study design once the incorrect assumption is discovered. Subtleties in characteristics of movement (e.g. life history-dependent emigration, nomads vs territory holders) can lead to mixtures in the probability of being available for capture among members of the same population. The result of these mixtures may be only a partial unconfounding of emigration from other CMR model parameters. Biologically-based differences in individual movement can combine with constraints on study design to further complicate the problem. Because of the intricacies of movement and its interaction with other parameters in CMR models, quantification of and solutions to these problems are needed. Based on our work with stream-dwelling populations of Atlantic salmon Salmo salar, we used a simulation approach to evaluate existing CMR models under various mixtures of movement probabilities. The Barker joint data model provided unbiased estimates of true survival under all conditions tested. The CJS and robust design models provided similarly unbiased estimates of true survival but only when emigration information could be incorporated directly into individual encounter histories. For the robust design model, Markovian emigration (future availability for capture depends on an individual's current location) was a difficult emigration pattern to detect unless survival and especially recapture probability were high. Additionally, when local movement was high relative to study area boundaries and movement became more diffuse (e.g. a random walk), local movement and permanent emigration were difficult to distinguish and had consequences for correctly interpreting the survival parameter being estimated (apparent survival vs true survival). ?? 2008 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oikos","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.0030-1299.2008.16686.x","issn":"00301299","usgsCitation":"Horton, G., and Letcher, B., 2008, Movement patterns and study area boundaries: Influences on survival estimation in capture-mark-recapture studies: Oikos, v. 117, no. 8, p. 1131-1142, https://doi.org/10.1111/j.0030-1299.2008.16686.x.","startPage":"1131","endPage":"1142","costCenters":[],"links":[{"id":18802,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.0030-1299.2008.16686.x"},{"id":203744,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-08-07","publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4819","contributors":{"authors":[{"text":"Horton, G.E.","contributorId":8594,"corporation":false,"usgs":true,"family":"Horton","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":345484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, B. H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":48132,"corporation":false,"usgs":true,"family":"Letcher","given":"B.","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":345485,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70000512,"text":"70000512 - 2008 - Mangrove production and carbon sinks: A revision of global budget estimates","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000512","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove production and carbon sinks: A revision of global budget estimates","docAbstract":"Mangrove forests are highly productive but globally threatened coastal ecosystems, whose role in the carbon budget of the coastal zone has long been debated. Here we provide a comprehensive synthesis of the available data on carbon fluxes in mangrove ecosystems. A reassessment of global mangrove primary production from the literature results in a conservative estimate of ???-218 ?? 72 Tg C a-1. When using the best available estimates of various carbon sinks (organic carbon export, sediment burial, and mineralization), it appears that >50% of the carbon fixed by mangrove vegetation is unaccounted for. This unaccounted carbon sink is conservatively estimated at ??? 112 ?? 85 Tg C a-1, equivalent in magnitude to ??? 30-40% of the global riverine organic carbon input to the coastal zone. Our analysis suggests that mineralization is severely underestimated, and that the majority of carbon export from mangroves to adjacent waters occurs as dissolved inorganic carbon (DIC). CO2 efflux from sediments and creek waters and tidal export of DIC appear to be the major sinks. These processes are quantitatively comparable in magnitude to the unaccounted carbon sink in current budgets, but are not yet adequately constrained with the limited published data available so far. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007GB003052","issn":"08866236","usgsCitation":"Bouillon, S., Borges, A., Castaneda-Moya, E., Diele, K., Dittmar, T., Duke, N., Kristensen, E., Lee, S., Marchand, C., Middelburg, J.J., Rivera-Monroy, V., Smith, T.J., and Twilley, R., 2008, Mangrove production and carbon sinks: A revision of global budget estimates: Global Biogeochemical Cycles, v. 22, no. 2, https://doi.org/10.1029/2007GB003052.","costCenters":[],"links":[{"id":476535,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007gb003052","text":"Publisher Index Page"},{"id":203589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007GB003052"}],"volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-05-09","publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ade7","contributors":{"authors":[{"text":"Bouillon, S.","contributorId":12165,"corporation":false,"usgs":true,"family":"Bouillon","given":"S.","affiliations":[],"preferred":false,"id":346104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borges, A.V.","contributorId":83648,"corporation":false,"usgs":true,"family":"Borges","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":346112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castaneda-Moya, E.","contributorId":7814,"corporation":false,"usgs":true,"family":"Castaneda-Moya","given":"E.","affiliations":[],"preferred":false,"id":346102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diele, K.","contributorId":64373,"corporation":false,"usgs":true,"family":"Diele","given":"K.","affiliations":[],"preferred":false,"id":346109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dittmar, T.","contributorId":27986,"corporation":false,"usgs":true,"family":"Dittmar","given":"T.","affiliations":[],"preferred":false,"id":346107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duke, N.C.","contributorId":8597,"corporation":false,"usgs":true,"family":"Duke","given":"N.C.","email":"","affiliations":[],"preferred":false,"id":346103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kristensen, E.","contributorId":49907,"corporation":false,"usgs":true,"family":"Kristensen","given":"E.","email":"","affiliations":[],"preferred":false,"id":346108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, S.-Y.","contributorId":75669,"corporation":false,"usgs":true,"family":"Lee","given":"S.-Y.","email":"","affiliations":[],"preferred":false,"id":346110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marchand, C.","contributorId":13728,"corporation":false,"usgs":true,"family":"Marchand","given":"C.","email":"","affiliations":[],"preferred":false,"id":346105,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Middelburg, J. 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III","contributorId":24303,"corporation":false,"usgs":true,"family":"Smith","given":"T.","suffix":"III","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":346106,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Twilley, R.R.","contributorId":94647,"corporation":false,"usgs":true,"family":"Twilley","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":346113,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70000517,"text":"70000517 - 2008 - Evaluating the effects of historical land cover change on summertime weather and climate in New Jersey: Land cover and surface energy budget changes","interactions":[],"lastModifiedDate":"2022-05-18T16:55:15.838611","indexId":"70000517","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7442,"text":"Journal of Geophysical Research-Atmospheres","active":false,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of historical land cover change on summertime weather and climate in New Jersey: Land cover and surface energy budget changes","docAbstract":"The 19th-century agrarian landscape of New Jersey (NJ) and the surrounding region has been extensively transformed to the present-day land cover by urbanization, reforestation, and localized areas of deforestation. This study used a mesoscale atmospheric numerical model to investigate the sensitivity of the warm season climate of NJ to these land cover changes. Reconstructed 1880s-era and present-day land cover data sets were used as surface boundary conditions for a set of simulations performed with the Regional Atmospheric Modeling System (RAMS). Three-member ensembles with historical and present-day land cover were compared to examine the sensitivity of surface air and dew point temperatures, rainfall, and the individual components of the surface energy budget to these land cover changes. Mean temperatures for the present-day landscape were 0.3-0.6??C warmer than for the historical landscape over a considerable portion of NJ and the surrounding region, with daily maximum temperatures at least 1.0??C warmer over some of the highly urbanized locations. Reforested regions, however, were slightly cooler. Dew point temperatures decreased by 0.3-0.6??C, suggesting drier, less humid near-surface air for the present-day landscape. Surface warming was generally associated with repartitioning of net radiation from latent to sensible heat flux, and conversely for cooling. While urbanization was accompanied by strong surface albedo decreases and increases in net shortwave radiation, reforestation and potential changes in forest composition have generally increased albedos and also enhanced landscape heterogeneity. The increased deciduousness of forests may have further reduced net downward longwave radiation. Copyright 2008 by the American Geophysical Union.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2007JD008514","usgsCitation":"Wichansky, P.S., Steyaert, L.T., Walko, R.L., and Waever, C.P., 2008, Evaluating the effects of historical land cover change on summertime weather and climate in New Jersey: Land cover and surface energy budget changes: Journal of Geophysical Research-Atmospheres, v. 113, no. 10, D10107, 25 p., https://doi.org/10.1029/2007JD008514.","productDescription":"D10107, 25 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476538,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007jd008514","text":"Publisher Index Page"},{"id":203627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Jersey\",\"nation\":\"USA \"}}]}","volume":"113","issue":"10","noUsgsAuthors":false,"publicationDate":"2008-05-28","publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db62968d","contributors":{"authors":[{"text":"Wichansky, P. S.","contributorId":7401,"corporation":false,"usgs":true,"family":"Wichansky","given":"P.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":346156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steyaert, L. T.","contributorId":71303,"corporation":false,"usgs":true,"family":"Steyaert","given":"L.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":346159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walko, R. L.","contributorId":25521,"corporation":false,"usgs":true,"family":"Walko","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":346157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waever, C. P.","contributorId":32276,"corporation":false,"usgs":true,"family":"Waever","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":346158,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000482,"text":"70000482 - 2008 - Analytical and numerical analyses of an unconfined aquifer test considering unsaturated zone characteristics","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000482","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Analytical and numerical analyses of an unconfined aquifer test considering unsaturated zone characteristics","docAbstract":"A 7-d, constant rate aquifer test conducted by University of Waterloo researchers at Canadian Forces Base Borden in Ontario, Canada, is useful for advancing understanding of fluid flow processes in response to pumping from an unconfined aquifer. Measured data include not only drawdown in the saturated zone but also volumetric soil moisture measured at various times and distances from the pumped well. Analytical analyses were conducted with the model published in 2001 by Moench and colleagues, which allows for gradual drainage but does not include unsaturated zone characteristics, and the model published in 2006 by Mathias and Butler, which assumes that moisture retention and relative hydraulic conductivity (RHC) in the unsaturated zone are exponential functions of pressure head. Parameters estimated with either model yield good matches between measured and simulated drawdowns in piezometers. Numerical analyses were conducted with two versions of VS2DT: one that uses traditional Brooks and Corey functional relations and one that uses a RHC function introduced in 2001 by Assouline that includes an additional parameter that accounts for soil structure and texture. The analytical model of Mathias and Butler and numerical model of VS2DT with the Assouline model both show that the RHC function must contain a fitting parameter that is different from that used in the moisture retention function. Results show the influence of field-scale heterogeneity and suggest that the RHC at the Borden site declines more rapidly with elevation above the top of the capillary fringe than would be expected if the parameters were to reflect local- or core-scale soil structure and texture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2006WR005736","issn":"00431397","usgsCitation":"Moench, A., 2008, Analytical and numerical analyses of an unconfined aquifer test considering unsaturated zone characteristics: Water Resources Research, v. 44, no. 6, https://doi.org/10.1029/2006WR005736.","costCenters":[],"links":[{"id":203785,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18896,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006WR005736"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-06-11","publicationStatus":"PW","scienceBaseUri":"4f4e4acee4b07f02db67f421","contributors":{"authors":[{"text":"Moench, A.F.","contributorId":91495,"corporation":false,"usgs":true,"family":"Moench","given":"A.F.","email":"","affiliations":[],"preferred":false,"id":346005,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70000501,"text":"70000501 - 2008 - Satellite-derived aerosol radiative forcing from the 2004 British Columbia wildfires","interactions":[],"lastModifiedDate":"2017-04-03T14:14:37","indexId":"70000501","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":921,"text":"Atmosphere - Ocean","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-derived aerosol radiative forcing from the 2004 British Columbia wildfires","docAbstract":"The British Columbia wildfires of 2004 was one of the largest wildfire events in the last ten years in Canada. Both the shortwave and longwave smoke aerosol radiative forcing at the top-of-atmosphere (TOA) are investigated using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Clouds and the Earth's Radiant Energy System (CERES) instruments. Relationships between the radiative forcing fluxes (??F) and wildfire aerosol optical thickness (AOT) at 0.55 ??m (??0.55) are deduced for both noontime instantaneous forcing and diurnally averaged forcing. The noontime averaged instantaneous shortwave and longwave smoke aerosol radiative forcing at the TOA are 45.8??27.5 W m-2 and -12.6??6.9 W m-2, respectively for a selected study area between 62??N and 68??N in latitude and 125??W and 145??W in longitude over three mainly clear-sky days (23-25 June). The derived diurnally averaged smoke aerosol shortwave radiative forcing is 19.9??12.1 W m-2 for a mean ??0.55 of 1.88??0.71 over the same time period. The derived ??F-?? relationship can be implemented in the radiation scheme used in regional climate models to assess the effect of wildfire aerosols.","language":"English","publisher":"Taylor & Francis","doi":"10.3137/ao.460201","issn":"07055900","usgsCitation":"Guo, S., and Leighton, H., 2008, Satellite-derived aerosol radiative forcing from the 2004 British Columbia wildfires: Atmosphere - Ocean, v. 46, no. 2, p. 203-212, https://doi.org/10.3137/ao.460201.","productDescription":"10 p.","startPage":"203","endPage":"212","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203545,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18910,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3137/ao.460201"}],"volume":"46","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db6055ad","contributors":{"authors":[{"text":"Guo, Song 0000-0001-8823-188X sguo@usgs.gov","orcid":"https://orcid.org/0000-0001-8823-188X","contributorId":5245,"corporation":false,"usgs":true,"family":"Guo","given":"Song","email":"sguo@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":346069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leighton, H.","contributorId":74859,"corporation":false,"usgs":true,"family":"Leighton","given":"H.","email":"","affiliations":[],"preferred":false,"id":346070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70000487,"text":"70000487 - 2008 - A reference data set of hillslope rainfall-runoff response, Panola Mountain Research Watershed, United States","interactions":[],"lastModifiedDate":"2012-03-08T17:16:36","indexId":"70000487","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A reference data set of hillslope rainfall-runoff response, Panola Mountain Research Watershed, United States","docAbstract":"Although many hillslope hydrologic investigations have been conducted in different climate, topographic, and geologic settings, subsurface stormflow remains a poorly characterized runoff process. Few, if any, of the existing data sets from these hillslope investigations are available for use by the scientific community for model development and validation or conceptualization of subsurface stormflow. We present a high-resolution spatial and temporal rainfall-runoff data set generated from the Panola Mountain Research Watershed trenched experimental hillslope. The data set includes surface and subsurface (bedrock surface) topographic information and time series of lateral subsurface flow at the trench, rainfall, and subsurface moisture content (distributed soil moisture content and groundwater levels) from January to June 2002. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007WR006299","issn":"00431397","usgsCitation":"Tromp-van, M.H., James, A., McDonnell, J.J., and Peters, N., 2008, A reference data set of hillslope rainfall-runoff response, Panola Mountain Research Watershed, United States: Water Resources Research, v. 44, no. 6, https://doi.org/10.1029/2007WR006299.","costCenters":[],"links":[{"id":476543,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007wr006299","text":"Publisher Index Page"},{"id":203405,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18899,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007WR006299"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-06-24","publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a848b","contributors":{"authors":[{"text":"Tromp-van, Meerveld H. J. H. J.","contributorId":54710,"corporation":false,"usgs":true,"family":"Tromp-van","given":"Meerveld","suffix":"H. J.","email":"","middleInitial":"H. J.","affiliations":[],"preferred":false,"id":346021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, A.L.","contributorId":40710,"corporation":false,"usgs":true,"family":"James","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":346020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonnell, Jeffery J. 0000-0002-3880-3162","orcid":"https://orcid.org/0000-0002-3880-3162","contributorId":62723,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffery","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":346022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":346019,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000500,"text":"70000500 - 2008 - Climate-induced variations of geyser periodicity in Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2019-03-21T10:44:55","indexId":"70000500","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced variations of geyser periodicity in Yellowstone National Park, USA","docAbstract":"The geysers of Yellowstone National Park, United States, attract millions of visitors each year, and their eruption dynamics have been the subject of extensive research for more than a century. Although many of the fundamental aspects associated with the dynamics of geyser eruptions have been elucidated, the relationship between external forcing (Earth tides, barometric pressure, and precipitation) and geyser eruption intervals (GEIs) remains a matter of ongoing debate. We present new instrumental GEI data and demonstrate, through detailed time-series analysis, that geysers respond to both long-term precipitation trends and to the seasonal hydrologic cycle. Responsiveness to long-term trends is reflected by a negative correlation between the annual averages of GEIs and stream flow in the Madison River. This response is probably associated with long-term pressure changes in the underlying hydrothermal reservoir. We relate seasonal GEI lengthening to snowmelt recharge.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G24723A.1","issn":"00917613","usgsCitation":"Hurwitz, S., Kumar, A., Taylor, R., and Heasler, H., 2008, Climate-induced variations of geyser periodicity in Yellowstone National Park, USA: Geology, v. 36, no. 6, p. 451-454, https://doi.org/10.1130/G24723A.1.","productDescription":"4 p.","startPage":"451","endPage":"454","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":203436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18909,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G24723A.1"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de19c","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":346068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Ashish","contributorId":92033,"corporation":false,"usgs":false,"family":"Kumar","given":"Ashish","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":346066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Ralph","contributorId":53073,"corporation":false,"usgs":false,"family":"Taylor","given":"Ralph","email":"","affiliations":[],"preferred":false,"id":346067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":346065,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000520,"text":"70000520 - 2008 - Hydrocarbon lakes on Titan: Distribution and interaction with a porous regolith","interactions":[],"lastModifiedDate":"2018-12-05T16:39:34","indexId":"70000520","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydrocarbon lakes on Titan: Distribution and interaction with a porous regolith","docAbstract":"Synthetic Aperture Radar (SAR) images of Titan's north polar region reveal quasi‐circular to complex features which are interpreted to be liquid hydrocarbon lakes. We investigate methane transport in Titan's hydrologic cycle using the global distribution of lake features. As of May 2007, the SAR data set covers ∼22% of the surface and indicates multiple lake morphologies which are correlated across the polar region. Lakes are limited to latitudes above 55°N and vary from <10 to more than 100,000 km2. The size and location of lakes provide constraints on parameters associated with subsurface transport. Using porous media properties inferred from Huygens probe observations, timescales for flow into and out of observed lakes are shown to be in the tens of years, similar to seasonal cycles. Derived timescales are compared to the time between collocated SAR observations in order to consider the role of subsurface transport in Titan's hydrologic cycle.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2008GL033409","issn":"00948276","usgsCitation":"Hayes, A., Aharonson, O., Callahan, P., Elachi, C., Gim, Y., Kirk, R.L., Lewis, K., Lopes, R., Lorenz, R., Lunine, J., Mitchell, K., Mitri, G., Stofan, E., and Wall, S., 2008, Hydrocarbon lakes on Titan: Distribution and interaction with a porous regolith: Geophysical Research Letters, v. 35, no. 9, 6 p., https://doi.org/10.1029/2008GL033409.","productDescription":"6 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476544,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008gl033409","text":"Publisher Index Page"},{"id":203667,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"35","issue":"9","noUsgsAuthors":false,"publicationDate":"2008-05-14","publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db6292fb","contributors":{"authors":[{"text":"Hayes, A.","contributorId":26415,"corporation":false,"usgs":true,"family":"Hayes","given":"A.","affiliations":[],"preferred":false,"id":346167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aharonson, O.","contributorId":105030,"corporation":false,"usgs":false,"family":"Aharonson","given":"O.","affiliations":[],"preferred":false,"id":346177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callahan, P.","contributorId":22889,"corporation":false,"usgs":true,"family":"Callahan","given":"P.","email":"","affiliations":[],"preferred":false,"id":346166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elachi, C.","contributorId":104606,"corporation":false,"usgs":false,"family":"Elachi","given":"C.","affiliations":[],"preferred":false,"id":346176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gim, Y.","contributorId":14934,"corporation":false,"usgs":true,"family":"Gim","given":"Y.","affiliations":[],"preferred":false,"id":346165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":346172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewis, K.","contributorId":74861,"corporation":false,"usgs":true,"family":"Lewis","given":"K.","affiliations":[],"preferred":false,"id":346173,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lopes, R.","contributorId":61554,"corporation":false,"usgs":true,"family":"Lopes","given":"R.","affiliations":[],"preferred":false,"id":346171,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lorenz, R.","contributorId":49503,"corporation":false,"usgs":true,"family":"Lorenz","given":"R.","affiliations":[],"preferred":false,"id":346170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lunine, J.","contributorId":42335,"corporation":false,"usgs":true,"family":"Lunine","given":"J.","affiliations":[],"preferred":false,"id":346169,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mitchell, Ken","contributorId":8211,"corporation":false,"usgs":true,"family":"Mitchell","given":"Ken","email":"","affiliations":[],"preferred":false,"id":346164,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mitri, Giuseppe","contributorId":35052,"corporation":false,"usgs":false,"family":"Mitri","given":"Giuseppe","email":"","affiliations":[],"preferred":false,"id":346168,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stofan, E.","contributorId":99268,"corporation":false,"usgs":true,"family":"Stofan","given":"E.","affiliations":[],"preferred":false,"id":346174,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wall, S.","contributorId":103774,"corporation":false,"usgs":true,"family":"Wall","given":"S.","affiliations":[],"preferred":false,"id":346175,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70000481,"text":"70000481 - 2008 - Use of landsat ETM+ SLC-off segment-based gap-filled imagery for crop type mapping","interactions":[],"lastModifiedDate":"2017-04-03T14:38:53","indexId":"70000481","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1753,"text":"Geocarto International","active":true,"publicationSubtype":{"id":10}},"title":"Use of landsat ETM+ SLC-off segment-based gap-filled imagery for crop type mapping","docAbstract":"Failure of the Scan Line Corrector (SLC) on the Landsat ETM+ sensor has had a major impact on many applications that rely on continuous medium resolution imagery to meet their objectives. The United States Department of Agriculture (USDA) Cropland Data Layer (CDL) program uses Landsat imagery as the primary source of data to produce crop-specific maps for 20 states in the USA. A new method has been developed to fill the image gaps resulting from the SLC failure to support the needs of Landsat users who require coincident spectral data, such as for crop type mapping and monitoring. We tested the new gap-filled method for a CDL crop type mapping project in eastern Nebraska. Scan line gaps were simulated on two Landsat 5 images (spring and late summer 2003) and then gap-filled using landscape boundary models, or segment models, that were derived from 1992 and 2002 Landsat images (used in the gap-fill process). Various date combinations of original and gap-filled images were used to derive crop maps using a supervised classification process. Overall kappa values were slightly higher for crop maps derived from SLC-off gap-filled images compared to crop maps derived from the original imagery (0.3–1.3% higher). Although the age of the segment model used to derive the SLC-off gap-filled product did not negatively impact the overall agreement, differences in individual cover type agreement did increase (−0.8%–1.6% using the 2002 segment model to −5.0–5.1% using the 1992 segment model). Classification agreement also decreased for most of the classes as the size of the segment used in the gap-fill process increased.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10106040701207399","issn":"10106049","usgsCitation":"Maxwell, S., and Craig, M., 2008, Use of landsat ETM+ SLC-off segment-based gap-filled imagery for crop type mapping: Geocarto International, v. 23, no. 3, p. 169-179, https://doi.org/10.1080/10106040701207399.","productDescription":"11 p.","startPage":"169","endPage":"179","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18895,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10106040701207399"}],"volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db6044cd","contributors":{"authors":[{"text":"Maxwell, S.K.","contributorId":36665,"corporation":false,"usgs":true,"family":"Maxwell","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":346003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craig, M.E.","contributorId":39107,"corporation":false,"usgs":true,"family":"Craig","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":346004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70000473,"text":"70000473 - 2008 - Linking landscapes and habitat suitability scores for diadromous fish restoration in the susquehanna river basin","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000473","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Linking landscapes and habitat suitability scores for diadromous fish restoration in the susquehanna river basin","docAbstract":"Dams within the Susquehanna River drainage, Pennsylvania, are potential barriers to migration of diadromous fishes, and many are under consideration for removal to facilitate fish passage. To provide useful input for prioritizing dam removal, we examined relations between landscape-scale factors and habitat suitability indices (HSIs) for native diadromous species of the Susquehanna River. We used two different methods (U.S. Fish and Wildlife Service method: Stier and Crance [1985], Ross et al. [1993a, 1993b, 1997], and Pardue [1983]; Pennsylvania State University method: Carline et al. [1994]) to calculate HSIs for several life stages of American shad Alosa sapidissima, alewives Alosa pseudoharengus, and blueback herring Alosa aestivalis and a single HSI for American eels Anguilla rostrata based on habitat variables measured at transects spaced every 5 km on six major Susquehanna River tributaries. Using geographical information systems, we calculated land use and geologic variables upstream from each transect and associated those data with HSIs calculated at each transect. We then performed canonical correlation analysis to determine how HSIs were linked to geologic and land use factors. Canonical correlation analysis identified the proportion of watershed underlain by carbonate rock as a positive correlate of HSIs for all species and life stages except American eels and juvenile blueback herring. We hypothesize that potential mechanisms linking carbonate rock to habitat suitability include increased productivity and buffering capacity. No other consistent patterns of positive or negative correlation between landscape-scale factors and HSIs were evident. This analysis will be useful for prioritizing removal of dams in the Susquehanna River drainage, because it provides a broad perspective on relationships between habitat suitability for diadromous fishes and easily measured landscape factors. This approach can be applied elsewhere to elucidate relationships between fine- and coarse-scale variables and suitability of habitat for fishes. ?? Copyright by the American Fisheries Society 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/M06-120.1","issn":"02755947","usgsCitation":"Kocovsky, P., Ross, R.M., Dropkin, D.S., and Campbell, J., 2008, Linking landscapes and habitat suitability scores for diadromous fish restoration in the susquehanna river basin: North American Journal of Fisheries Management, v. 28, no. 3, p. 906-918, https://doi.org/10.1577/M06-120.1.","startPage":"906","endPage":"918","costCenters":[],"links":[{"id":203556,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18888,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M06-120.1"}],"volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-06-01","publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a5064","contributors":{"authors":[{"text":"Kocovsky, P.M.","contributorId":78447,"corporation":false,"usgs":true,"family":"Kocovsky","given":"P.M.","affiliations":[],"preferred":false,"id":345984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, R. M.","contributorId":39311,"corporation":false,"usgs":true,"family":"Ross","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":345982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dropkin, D. S.","contributorId":87084,"corporation":false,"usgs":true,"family":"Dropkin","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":345985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, J.M.","contributorId":74385,"corporation":false,"usgs":true,"family":"Campbell","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":345983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000449,"text":"70000449 - 2008 - Surface albedo observations at Gusev Crater and Meridiani Planum, Mars","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000449","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Surface albedo observations at Gusev Crater and Meridiani Planum, Mars","docAbstract":"During the Mars Exploration Rover mission, the Pancam instrument has periodically acquired large-scale panoramic images with its broadband (739??338 nm) filter in order to estimate the Lambert bolometric albedo of the surface along each rover's traverse. In this work we present the full suite of such estimated albedo values measured to date by the Spirit and Opportunity rovers along their traverses in Gusev Crater and Meridiani Planum, respectively. We include estimated bolometric albedo values of individual surface features (e.g., outcrops, dusty plains, aeolian bed forms, wheel tracks, light-toned soils, and crater walls) as well as overall surface averages of the 43 total panoramic albedo data sets acquired to date. We also present comparisons to estimated Lambert albedo values taken from the Mars Global Surveyor Mars Orbiter Camera (MOC) along the rovers' traverses, and to the large-scale bolometric albedos of the sites from the Viking Orbiter Infrared Thermal Mapper (IRTM) and Mars Global Surveyor/Thermal Emission Spectrometer (TES). The ranges of Pancam-derived albedos at Gusev Crater (0.14 to 0.25) and in Meridiani Planum. (0.10 to 0.18) are in good agreement with IRTM, TES, and MOC orbital measurements. These data sets will be a useful tool and benchmark for future investigations of albodo variations with time, including measurements from orbital instruments like the Context Camera and High Resolution Imaging Science Experiment on Mars Reconnaissance Orbiter. Long-term, accurate albedo measurements could also be important for future efforts in climate modeling as well as for studies of active surface processes. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007JE002976","issn":"01480227","usgsCitation":"Bell, J., Rice, M., Johnson, J.R., and Hare, T., 2008, Surface albedo observations at Gusev Crater and Meridiani Planum, Mars: Journal of Geophysical Research E: Planets, v. 113, no. 6, https://doi.org/10.1029/2007JE002976.","costCenters":[],"links":[{"id":18869,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007JE002976"},{"id":203435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-05-24","publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697365","contributors":{"authors":[{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":345792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, M.S.","contributorId":105027,"corporation":false,"usgs":true,"family":"Rice","given":"M.S.","affiliations":[],"preferred":false,"id":345793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":345791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, T.M. 0000-0001-8842-389X","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":43828,"corporation":false,"usgs":true,"family":"Hare","given":"T.M.","affiliations":[],"preferred":false,"id":345790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000533,"text":"70000533 - 2008 - Determining Titan's spin state from Cassini RADAR images","interactions":[],"lastModifiedDate":"2018-12-05T16:47:25","indexId":"70000533","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":914,"text":"Astronomical Journal","active":true,"publicationSubtype":{"id":10}},"title":"Determining Titan's spin state from Cassini RADAR images","docAbstract":"For some 19 areas of Titan's surface, the Cassini RADAR instrument has obtained synthetic aperture radar (SAR) images during two different flybys. The time interval between flybys varies from several weeks to two years. We have used the apparent misregistration (by 10-30 km) of features between separate flybys to construct a refined model of Titan's spin state, estimating six parameters: north pole right ascension and declination, spin rate, and these quantities' first time derivatives We determine a pole location with right ascension of 39.48 degrees and declination of 83.43 degrees corresponding to a 0.3 degree obliquity. We determine the spin rate to be 22.5781 deg day -1 or 0.001 deg day-1 faster than the synchronous spin rate. Our estimated corrections to the pole and spin rate exceed their corresponding standard errors by factors of 80 and 8, respectively. We also found that the rate of change in the pole right ascension is -30 deg century-1, ten times faster than right ascension rate of change for the orbit normal. The spin rate is increasing at a rate of 0.05 deg day -1 per century. We observed no significant change in pole declination over the period for which we have data. Applying our pole correction reduces the feature misregistration from tens of km to 3 km. Applying the spin rate and derivative corrections further reduces the misregistration to 1.2 km.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Astronomical Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Astronomical Society","doi":"10.1088/0004-6256/135/5/1669","issn":"00046256","usgsCitation":"Stiles, B., Kirk, R.L., Lorenz, R.D., Hensley, S., Lee, E., Ostro, S., Allison, M., Callahan, P., Gim, Y., Iess, L., Marmo, D., Hamilton, G., Johnson, W., and West, R., 2008, Determining Titan's spin state from Cassini RADAR images: Astronomical Journal, v. 135, no. 5, p. 1669-1680, https://doi.org/10.1088/0004-6256/135/5/1669.","productDescription":"12 p.","startPage":"1669","endPage":"1680","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":203644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"135","issue":"5","noUsgsAuthors":false,"publicationDate":"2008-03-26","publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667369","contributors":{"authors":[{"text":"Stiles, B.W.","contributorId":43900,"corporation":false,"usgs":true,"family":"Stiles","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":346216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":346222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, R. D.","contributorId":90441,"corporation":false,"usgs":false,"family":"Lorenz","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":346221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hensley, S.","contributorId":6175,"corporation":false,"usgs":true,"family":"Hensley","given":"S.","email":"","affiliations":[],"preferred":false,"id":346212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, E.","contributorId":47716,"corporation":false,"usgs":true,"family":"Lee","given":"E.","affiliations":[],"preferred":false,"id":346218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ostro, S.J.","contributorId":45814,"corporation":false,"usgs":true,"family":"Ostro","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":346217,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allison, M.D.","contributorId":76056,"corporation":false,"usgs":true,"family":"Allison","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":346220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Callahan, P.S.","contributorId":43478,"corporation":false,"usgs":true,"family":"Callahan","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":346215,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gim, Y.","contributorId":14934,"corporation":false,"usgs":true,"family":"Gim","given":"Y.","affiliations":[],"preferred":false,"id":346213,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Iess, L.","contributorId":105837,"corporation":false,"usgs":true,"family":"Iess","given":"L.","affiliations":[],"preferred":false,"id":346224,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marmo, Del","contributorId":63929,"corporation":false,"usgs":true,"family":"Marmo","given":"Del","email":"","affiliations":[],"preferred":false,"id":346219,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hamilton, G.","contributorId":108236,"corporation":false,"usgs":true,"family":"Hamilton","given":"G.","email":"","affiliations":[],"preferred":false,"id":346225,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, W.T.K.","contributorId":27174,"corporation":false,"usgs":true,"family":"Johnson","given":"W.T.K.","email":"","affiliations":[],"preferred":false,"id":346214,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"West, R.D.","contributorId":103399,"corporation":false,"usgs":true,"family":"West","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":346223,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70000477,"text":"70000477 - 2008 - Using bioenergetics modeling to estimate consumption of native juvenile salmonids by nonnative northern pike in the Upper Flathead River System, Montana","interactions":[],"lastModifiedDate":"2016-02-22T10:13:17","indexId":"70000477","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Using bioenergetics modeling to estimate consumption of native juvenile salmonids by nonnative northern pike in the Upper Flathead River System, Montana","docAbstract":"Introductions of nonnative northern pike Esox lucius have created recreational fisheries in many waters in the United States and Canada, yet many studies have shown that introduced northern pike may alter the composition and structure of fish communities through predation. We estimated the abundance of nonnative northern pike (2002-2003) and applied food habits data (1999-2003) to estimate their annual consumption of native bull trout Salvelinus confluentus and westslope cutthroat trout Oncorhynchus clarkii lewisi juveniles in the upper Flathead River system, Montana. Population estimates were generally consistent among years and ranged from 1,200 to 1,300 individuals. Westslope cutthroat trout were present in the diet of younger (???600 mm) and older (>600 mm) northern pike during all seasons and bull trout were found only in larger northern pike during all seasons but summer. Bioenergetics modeling estimated that the northern pike population annually consumed a total of 8.0 metric tons (mt) of fish flesh; the highest biomass was composed of cyprinids (4.95 mt) followed by whitefishes Prosopium spp. (1.02 mt), bull trout (0.80 mt), westslope cutthroat trout (0.68 mt), yellow perch Perca flavescens (0.41 mt),1 and other fishes (centrarchids and cottids; 0.14 mt). Numerically, the northern pike population consumed more than 342,000 fish; cyprinids and catostomids comprised approximately 82% of prey fish (278,925), whereas over 13,000 westslope cutthroat trout and nearly 3,500 bull trout were eaten, comprising about 5% of the prey consumed. Our results suggest that predation by introduced northern pike is contributing to the lower abundance of native salmonids in the system and that a possible benefit might accrue to native salmonids by reducing these predatory interactions. ?? Copyright by the American Fisheries Society 2008.
","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M07-004.1","usgsCitation":"Muhlfeld, C., Bennett, D., Kirk, S.R., Marotz, B., and Boyer, M., 2008, Using bioenergetics modeling to estimate consumption of native juvenile salmonids by nonnative northern pike in the Upper Flathead River System, Montana: North American Journal of Fisheries Management, v. 28, no. 3, p. 636-648, https://doi.org/10.1577/M07-004.1.","productDescription":"13 p.","startPage":"636","endPage":"648","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":203394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18891,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M07-004.1"}],"volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-06-01","publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db6879d0","contributors":{"authors":[{"text":"Muhlfeld, C.C.","contributorId":97850,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"C.C.","affiliations":[],"preferred":false,"id":345995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, D.H.","contributorId":28698,"corporation":false,"usgs":true,"family":"Bennett","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":345991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Steinhorst R.","contributorId":74114,"corporation":false,"usgs":true,"family":"Kirk","given":"Steinhorst","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":345993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marotz, B.","contributorId":48684,"corporation":false,"usgs":true,"family":"Marotz","given":"B.","email":"","affiliations":[],"preferred":false,"id":345992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, M.","contributorId":80390,"corporation":false,"usgs":true,"family":"Boyer","given":"M.","email":"","affiliations":[],"preferred":false,"id":345994,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70000475,"text":"70000475 - 2008 - Detecting the response of fish assemblages to stream restoration: Effects of different sampling designsf","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000475","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Detecting the response of fish assemblages to stream restoration: Effects of different sampling designsf","docAbstract":"Increased trout production within limited stream reaches is a popular goal for restoration projects, yet investigators seldom monitor, assess, or publish the associated effects on fish assemblages. Fish community data from a total of 40 surveys at restored and reference reaches in three streams of the Catskill Mountains, New York, were analyzed a posteriori to determine how the ability to detect significant changes in biomass of brown trout Salmo trutta, all salmonids, or the entire fish community differs with effect size, number of streams assessed, process used to quantify the index response, and number of replicates collected before and after restoration. Analyses of statistical power (probability of detecting a meaningful difference or effect) and integrated power (average power over all possible ??-values) were combined with before-after, control-impact analyses to assess the effectiveness of alternate sampling and analysis designs. In general, the more robust analyses indicated that biomass of brown trout and salmonid populations increased significantly in restored reaches but that the net increases (relative to the reference reach) were significant only at two of four restored reaches. Restoration alone could not account for the net increases in total biomass of fish communities. Power analyses generally showed that integrated power was greater than 0.95 when (1) biomass increases were larger than 5.0 g/m2, (2) the total number of replicates ranged from 4 to 8, and (3) coefficients of variation (CVs) for responses were less than 40%. Integrated power was often greater than 0.95 for responses as low as 1.0 g/m2 if the response CVs were less than 30%. Considering that brown trout, salmonid, and community biomass increased by 2.99 g/m2 on average (SD= 1.17 g/m2) in the four restored reaches, use of two to three replicates both before and after restoration would have an integrated power of about 0.95 and would help detect significant changes in fish biomass under similar situations. ?? Copyright by the American Fisheries Society 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/M06-171.1","issn":"02755947","usgsCitation":"Baldigo, B., and Warren, D., 2008, Detecting the response of fish assemblages to stream restoration: Effects of different sampling designsf: North American Journal of Fisheries Management, v. 28, no. 3, p. 919-934, https://doi.org/10.1577/M06-171.1.","startPage":"919","endPage":"934","costCenters":[],"links":[{"id":203487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18889,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M06-171.1"}],"volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-06-01","publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667ac8","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":345986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, D.R.","contributorId":105741,"corporation":false,"usgs":true,"family":"Warren","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":345987,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70000456,"text":"70000456 - 2008 - Mars Exploration Rover Navigation Camera in-flight calibration","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000456","displayToPublicDate":"2010-09-28T23:09:20","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mars Exploration Rover Navigation Camera in-flight calibration","docAbstract":"The Navigation Camera (Navcam) instruments on the Mars Exploration Rover (MER) spacecraft provide support for both tactical operations as well as scientific observations where color information is not necessary: large-scale morphology, atmospheric monitoring including cloud observations and dust devil movies, and context imaging for both the thermal emission spectrometer and the in situ instruments on the Instrument Deployment Device. The Navcams are a panchromatic stereoscopic imaging system built using identical charge-coupled device (CCD) detectors and nearly identical electronics boards as the other cameras on the MER spacecraft. Previous calibration efforts were primarily focused on providing a detailed geometric calibration in line with the principal function of the Navcams, to provide data for the MER navigation team. This paper provides a detailed description of a new Navcam calibration pipeline developed to provide an absolute radiometric calibration that we estimate to have an absolute accuracy of 10% and a relative precision of 2.5%. Our calibration pipeline includes steps to model and remove the bias offset, the dark current charge that accumulates in both the active and readout regions of the CCD, and the shutter smear. It also corrects pixel-to-pixel responsivity variations using flat-field images, and converts from raw instrument-corrected digital number values per second to units of radiance (W m-2 nm-1 sr-1), or to radiance factor (I/F). We also describe here the initial results of two applications where radiance-calibrated Navcam data provide unique information for surface photometric and atmospheric aerosol studies. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007JE003003","issn":"01480227","usgsCitation":"Soderblom, J., Bell, J., Johnson, J.R., Joseph, J., and Wolff, M., 2008, Mars Exploration Rover Navigation Camera in-flight calibration: Journal of Geophysical Research E: Planets, v. 113, no. 6, https://doi.org/10.1029/2007JE003003.","costCenters":[],"links":[{"id":476547,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007je003003","text":"Publisher Index Page"},{"id":18874,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007JE003003"},{"id":203602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-06-17","publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f686","contributors":{"authors":[{"text":"Soderblom, J.M.","contributorId":31097,"corporation":false,"usgs":true,"family":"Soderblom","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":345868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":345871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":345870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joseph, J.","contributorId":14555,"corporation":false,"usgs":true,"family":"Joseph","given":"J.","email":"","affiliations":[],"preferred":false,"id":345867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolff, M.J.","contributorId":64374,"corporation":false,"usgs":true,"family":"Wolff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":345869,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":5224913,"text":"5224913 - 2008 - Estimating species occurrence, abundance, and detection probability using zero-inflated distributions","interactions":[],"lastModifiedDate":"2012-02-02T00:15:29","indexId":"5224913","displayToPublicDate":"2010-06-16T12:18:35","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating species occurrence, abundance, and detection probability using zero-inflated distributions","docAbstract":"Researchers have developed methods to account for imperfect detection of species with either occupancy (presence-absence) or count data using replicated sampling. We show how these approaches can be combined to simultaneously estimate occurrence, abundance, and detection probability by specifying a zero-inflated distribution for abundance. This approach may be particularly appropriate when patterns of occurrence and abundance arise from distinct processes operating at differing spatial or temporal scales. We apply the model to two data sets: (1) previously published data for a species of duck, Anas platyrhynchos, and (2) data for a stream fish species, Etheostoma scotti. We show that in these cases, an incomplete-detection zero-inflated modeling approach yields a superior fit to the data than other models. We propose that zero-inflated abundance models accounting for incomplete detection be considered when replicate count data are available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"7009_Wenger.pdf","usgsCitation":"Wenger, S., and Freeman, M.C., 2008, Estimating species occurrence, abundance, and detection probability using zero-inflated distributions: Ecology, v. 89, no. 10, p. 2953-2959.","productDescription":"2953-2959","startPage":"2953","endPage":"2959","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":16963,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.esajournals.org/doi/abs/10.1890/07-1127.1","linkFileType":{"id":5,"text":"html"}}],"volume":"89","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc84f","contributors":{"authors":[{"text":"Wenger, S.J.","contributorId":51883,"corporation":false,"usgs":true,"family":"Wenger","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":343134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":343135,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":5224901,"text":"5224901 - 2008 - Sources of variation in detection of wading birds from aerial surveys in the Florida Everglades","interactions":[],"lastModifiedDate":"2017-05-07T14:45:35","indexId":"5224901","displayToPublicDate":"2010-06-16T12:18:34","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Sources of variation in detection of wading birds from aerial surveys in the Florida Everglades","docAbstract":"We conducted dual-observer trials to estimate detection probabilities (probability that a group that is present and available is detected) for fixed-wing aerial surveys of wading birds in the Everglades system, Florida. Detection probability ranged from <0.2 to similar to 0.75 and varied according to species, group size, observer, and the observer's position in the aircraft (front or rear seat). Aerial-survey simulations indicated that incomplete detection can have a substantial effect oil assessment of population trends, particularly river relatively short intervals (<= 3 years) and small annual changes in population size (<= 3%). We conclude that detection bias is an important consideration for interpreting observations from aerial surveys of wading birds, potentially limiting the use of these data for comparative purposes and trend analyses. We recommend that workers conducting aerial surveys for wading birds endeavor to reduce observer and other controllable sources of detection bias and account for uncontrollable sources through incorporation of dual-observer or other calibratior methods as part of survey design (e.g., using double sampling).","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2008.07134","usgsCitation":"Conroy, M., Peterson, J., Bass, O., Fonnesbeck, C., Howell, J., Moore, C., and Runge, J., 2008, Sources of variation in detection of wading birds from aerial surveys in the Florida Everglades: The Auk, v. 125, no. 3, p. 731-741, https://doi.org/10.1525/auk.2008.07134.","productDescription":"11 p.","startPage":"731","endPage":"741","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":476561,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2008.07134","text":"Publisher Index Page"},{"id":196214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d3e4b07f02db548cd3","contributors":{"authors":[{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":343082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, J.T.","contributorId":30170,"corporation":false,"usgs":true,"family":"Peterson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":343078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bass, O.L.","contributorId":68849,"corporation":false,"usgs":true,"family":"Bass","given":"O.L.","email":"","affiliations":[],"preferred":false,"id":343081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fonnesbeck, C.J.","contributorId":41381,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":343079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howell, J.E.","contributorId":28694,"corporation":false,"usgs":true,"family":"Howell","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":343077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, C. T. 0000-0002-6053-2880","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":87649,"corporation":false,"usgs":true,"family":"Moore","given":"C. T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":343083,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runge, J.P.","contributorId":57180,"corporation":false,"usgs":true,"family":"Runge","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":343080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":5224897,"text":"5224897 - 2008 - Juvenile survival in a tropical population of roseate terns: Interannual variation and effect of tick parasitism","interactions":[],"lastModifiedDate":"2016-10-20T09:36:36","indexId":"5224897","displayToPublicDate":"2010-06-16T12:18:34","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile survival in a tropical population of roseate terns: Interannual variation and effect of tick parasitism","docAbstract":"Many demographic studies on long-lived seabirds have focused on the estimation of adult survival, but much less is known about survival during the early years of life, especially in tropical species. We report analyses of a capture–recapture dataset of 685 roseate terns ringed as fledglings and adults between 1998 and 2005 on Aride Island, Seychelles, and recaptured/resighted at the same colony site over a 5 yr (2002 to 2006) period. A multistate model was used to estimate survival for different age classes, including juvenile (first-year) birds returning as non-breeding prospectors. The effect of infestation by parasites (ticks) on survival was also examined. Overall, the estimated return of first-year individuals to the natal colony was very variable, ranging from 2 to 22%. Conditioned on survival, the probability of returning from Age 2 yr onwards increased to 70%. Survival rates were best modeled as time-specific, with estimates varying from 0.02 to 1.00 (mean 0.69) in first-year birds with a marked negative effect of tick infestation. In older birds (minimum age of 2 yr), the annual estimates fell between 0.69 and 0.86 (mean 0.77). Using a components of variance approach for estimation of year-to-year variation, we found high temporal variability for first-year individuals (coefficient of variation [CV] = 65%) compared to much less variation in the survival rate of older birds (CV = 9%). These findings agree with the life-history prediction that demographic rates of juveniles are usually lower and more variable than those of older individuals. Our results are also consistent with the predicted negative effect of tick parasitism on juvenile survival. Compared with data from other roseate tern populations, survival over the first 2 yr (Age 0 to 2 yr) was 18 to 40% higher in this study, suggesting that a high ‘young’ survival rate may be an important demographic trait in this tropical population to compensate for the low annual reproductive success. Our data show that estimating survival of young individuals may be crucial to elucidating the demographic tactics of seabirds.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps07508","usgsCitation":"Monticelli, D., Ramos, J.A., Hines, J., Nichols, J., and Spendelow, J.A., 2008, Juvenile survival in a tropical population of roseate terns: Interannual variation and effect of tick parasitism: Marine Ecology Progress Series, v. 365, p. 277-287, https://doi.org/10.3354/meps07508.","productDescription":"11 p.","startPage":"277","endPage":"287","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":476558,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps07508","text":"Publisher Index Page"},{"id":201852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"365","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b48be","contributors":{"authors":[{"text":"Monticelli, David","contributorId":168304,"corporation":false,"usgs":false,"family":"Monticelli","given":"David","email":"","affiliations":[{"id":25244,"text":"Marine and Environmental Science Centre, Universidade de Coimbra, Coimbra, Portugal","active":true,"usgs":false}],"preferred":false,"id":343064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramos, Jaime A.","contributorId":176009,"corporation":false,"usgs":false,"family":"Ramos","given":"Jaime","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":343063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":343062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139082,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":343061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":343065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":5224893,"text":"5224893 - 2008 - A hierarchical model for spatial capture-recapture data","interactions":[],"lastModifiedDate":"2012-02-02T00:15:08","indexId":"5224893","displayToPublicDate":"2010-06-16T12:18:34","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical model for spatial capture-recapture data","docAbstract":"Estimating density is a fundamental objective of many animal population studies. Application of methods for estimating population size from ostensibly closed populations is widespread, but ineffective for estimating absolute density because most populations are subject to short-term movements or so-called temporary emigration. This phenomenon invalidates the resulting estimates because the effective sample area is unknown. A number of methods involving the adjustment of estimates based on heuristic considerations are in widespread use. In this paper, a hierarchical model of spatially indexed capture recapture data is proposed for sampling based on area searches of spatial sample units subject to uniform sampling intensity. The hierarchical model contains explicit models for the distribution of individuals and their movements, in addition to an observation model that is conditional on the location of individuals during sampling. Bayesian analysis of the hierarchical model is achieved by the use of data augmentation, which allows for a straightforward implementation in the freely available software WinBUGS. We present results of a simulation study that was carried out to evaluate the operating characteristics of the Bayesian estimator under variable densities and movement patterns of individuals. An application of the model is presented for survey data on the flat-tailed horned lizard (Phrynosoma mcallii) in Arizona, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6984_Royle.pdf","usgsCitation":"Royle, J., and Young, K., 2008, A hierarchical model for spatial capture-recapture data: Ecology, v. 89, no. 8, p. 2281-2289.","productDescription":"2281-2289","startPage":"2281","endPage":"2289","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":16921,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.esajournals.org/doi/abs/10.1890/07-0601.1","linkFileType":{"id":5,"text":"html"}},{"id":196500,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a825c","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":343046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, K.V.","contributorId":39486,"corporation":false,"usgs":true,"family":"Young","given":"K.V.","email":"","affiliations":[],"preferred":false,"id":343045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":5224888,"text":"5224888 - 2008 - Multi-scale occupancy estimation and modelling using multiple detection methods","interactions":[],"lastModifiedDate":"2016-09-26T09:27:53","indexId":"5224888","displayToPublicDate":"2010-06-16T12:18:34","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale occupancy estimation and modelling using multiple detection methods","docAbstract":"