{"pageNumber":"966","pageRowStart":"24125","pageSize":"25","recordCount":40811,"records":[{"id":70032120,"text":"70032120 - 2007 - Influence of land use and climate on wetland breeding birds in the Prairie Pothole region of Canada","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70032120","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of land use and climate on wetland breeding birds in the Prairie Pothole region of Canada","docAbstract":"Bird populations are influenced by a variety of factors at both small and large scales that range from the presence of suitable nesting habitat, predators, and food supplies to climate conditions and land-use patterns. We evaluated the influences of regional climate and land-use variables on wetland breeding birds in the Canada section of Bird Conservation Region 11 (CA-BCR11), the Prairie Potholes. We used bird abundance data from the North American Breeding Bird Survey, land-use data from the Prairie Farm Rehabilitation Administration, and weather data from the National Climatic Data and Information Archive to model effects of regional environmental variables on bird abundance. Models were constructed a priori using information from published habitat associations in the literature, and fitting was performed with WinBUGS using Markov chain Monte Carlo techniques. Both land-use and climate variables contributed to predicting bird abundance in CA-BCR11, although climate predictors contributed the most to improving model fit. Examination of regional effects of climate and land use on wetland birds in CA-BCR11 revealed relationships with environmental covariates that are often overlooked by small-scale habitat studies. Results from these studies can be used to improve conservation and management planning for regional populations of avifauna. ?? 2007 NRC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/Z07-005","issn":"00084301","usgsCitation":"Forcey, G., Linz, G., Thogmartin, W., and Bleier, W., 2007, Influence of land use and climate on wetland breeding birds in the Prairie Pothole region of Canada: Canadian Journal of Zoology, v. 85, no. 3, p. 421-436, https://doi.org/10.1139/Z07-005.","startPage":"421","endPage":"436","numberOfPages":"16","costCenters":[],"links":[{"id":214687,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/Z07-005"},{"id":242435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b46e4b0c8380cd623b0","contributors":{"authors":[{"text":"Forcey, G.M.","contributorId":57998,"corporation":false,"usgs":true,"family":"Forcey","given":"G.M.","affiliations":[],"preferred":false,"id":434612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linz, G.M.","contributorId":70877,"corporation":false,"usgs":true,"family":"Linz","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":434613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, W.E. 0000-0002-2384-4279","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":26392,"corporation":false,"usgs":true,"family":"Thogmartin","given":"W.E.","affiliations":[],"preferred":false,"id":434611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bleier, W.J.","contributorId":79194,"corporation":false,"usgs":true,"family":"Bleier","given":"W.J.","affiliations":[],"preferred":false,"id":434614,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032115,"text":"70032115 - 2007 - Habitat connectivity and ecosystem productivity: implications from a simple model.","interactions":[],"lastModifiedDate":"2018-10-17T08:31:19","indexId":"70032115","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Habitat connectivity and ecosystem productivity: implications from a simple model.","docAbstract":"<p>The import of resources (food, nutrients) sustains biological production and food webs in resource-limited habitats. Resource export from donor habitats subsidizes production in recipient habitats, but the ecosystem-scale consequences of resource translocation are generally unknown. Here, I use a nutrient-phytoplankton-zooplankton model to show how dispersive connectivity between a shallow autotrophic habitat and a deep heterotrophic pelagic habitat can amplify overall system production in metazoan food webs. This result derives from the finite capacity of suspension feeders to capture and assimilate food particles: excess primary production in closed autotrophic habitats cannot be assimilated by consumers; however, if excess phytoplankton production is exported to food-limited heterotrophic habitats, it can be assimilated by zooplankton to support additional secondary production. Transport of regenerated nutrients from heterotrophic to autotrophic habitats sustains higher system primary production. These simulation results imply that the ecosystem-scale efficiency of nutrient transformation into metazoan biomass can be constrained by the rate of resource exchange across habitats and that it is optimized when the transport rate matches the growth rate of primary producers. Slower transport (i.e., reduced connectivity) leads to nutrient limitation of primary production in autotrophic habitats and food limitation of secondary production in heterotrophic habitats. Habitat fragmentation can therefore impose energetic constraints on the carrying capacity of aquatic ecosystems. The outcomes of ecosystem restoration through habitat creation will be determined by both functions provided by newly created aquatic habitats and the rates of hydraulic connectivity between them.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1086/510258","issn":"15375323","usgsCitation":"Cloern, J.E., 2007, Habitat connectivity and ecosystem productivity: implications from a simple model.: American Naturalist, v. 169, no. 1, p. E22-E33, https://doi.org/10.1086/510258.","productDescription":"13 p.","startPage":"E22","endPage":"E33","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":242365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214625,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/510258"}],"volume":"169","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f04e4b0c8380cd5ca05","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":434599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032113,"text":"70032113 - 2007 - Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA","interactions":[],"lastModifiedDate":"2014-09-02T09:35:34","indexId":"70032113","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA","docAbstract":"<p>The realization that coral reef ecosystem management must occur across multiple spatial scales and habitat types has led scientists and resource managers to seek variables that are easily measured over large areas and correlate well with reef resources. Here we investigate the utility of new technology in airborne laser surveying (NASA Experimental Advanced Airborne Research Lidar (EAARL)) in assessing topographical complexity (rugosity) to predict reef fish community structure on shallow (<10 m deep) patch reefs. Marine portions of Biscayne National Park, Florida, USA, were surveyed remotely using the EAARL, and reef fish populations were visually surveyed on 10 patch reefs at independent, randomly selected stations (<i>n</i> = 10–13 per reef). Rugosity at each station was assessed in situ by divers using the traditional chain-transect method (10-m scale), and remotely using the EAARL submarine topography data at multiple spatial scales (2, 5, and 10 m). The rugosity and biological datasets were analyzed together to elucidate the predictive power of EAARL rugosity in describing the variance in reef fish community variables and to assess the correlation between chain-transect and EAARL rugosity. EAARL rugosity was not well correlated with chain-transect rugosity, or with species richness of fishes (although statistically significant, the amount of variance explained by the model was very low). Variance in reef fish community attributes was better explained in reef-by-reef variability than by physical variables. However, once the reef-by-reef variability was taken into account in a two-way analysis of variance, the importance of rugosity could be seen on individual reefs. Fish species richness and abundance were statistically higher at high rugosity stations compared to medium and low rugosity stations, as predicted by prior ecological research. The EAARL shows promise as an important mapping tool for reef resource managers as they strive to inventory and protect coral reef resources.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10641-006-9078-4","issn":"03781909","usgsCitation":"Kuffner, I.B., Brock, J., Grober-Dunsmore, R., Bonito, V.E., Hickey, T.D., and Wright, C.W., 2007, Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA: Environmental Biology of Fishes, v. 78, no. 1, p. 71-82, https://doi.org/10.1007/s10641-006-9078-4.","productDescription":"12 p.","startPage":"71","endPage":"82","numberOfPages":"12","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":214594,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-006-9078-4"},{"id":242333,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.347196,25.291431 ], [ -80.347196,25.671111 ], [ -80.089407,25.671111 ], [ -80.089407,25.291431 ], [ -80.347196,25.291431 ] ] ] } } ] }","volume":"78","issue":"1","noUsgsAuthors":false,"publicationDate":"2006-07-08","publicationStatus":"PW","scienceBaseUri":"505aa64fe4b0c8380cd84db1","contributors":{"authors":[{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":434592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":434591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grober-Dunsmore, Rikki","contributorId":71292,"corporation":false,"usgs":true,"family":"Grober-Dunsmore","given":"Rikki","email":"","affiliations":[],"preferred":false,"id":434594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonito, Victor E.","contributorId":84994,"corporation":false,"usgs":true,"family":"Bonito","given":"Victor","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":434596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hickey, T. Donald","contributorId":71782,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Donald","affiliations":[],"preferred":false,"id":434595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":434593,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032085,"text":"70032085 - 2007 - Linking occurrence and fitness to persistence: Habitat-based approach for endangered Greater Sage-Grouse","interactions":[],"lastModifiedDate":"2017-12-27T15:10:17","indexId":"70032085","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Linking occurrence and fitness to persistence: Habitat-based approach for endangered Greater Sage-Grouse","docAbstract":"Detailed empirical models predicting both species occurrence and fitness across a landscape are necessary to understand processes related to population persistence. Failure to consider both occurrence and fitness may result in incorrect assessments of habitat importance leading to inappropriate management strategies. We took a two-stage approach to identifying critical nesting and brood-rearing habitat for the endangered Greater Sage-Grouse (Centrocercus urophasianus) in Alberta at a landscape scale. First, we used logistic regression to develop spatial models predicting the relative probability of use (occurrence) for Sage-Grouse nests and broods. Secondly, we used Cox proportional hazards survival models to identify the most risky habitats across the landscape. We combined these two approaches to identify Sage-Grouse habitats that pose minimal risk of failure (source habitats) and attractive sink habitats that pose increased risk (ecological traps). Our models showed that Sage-Grouse select for heterogeneous patches of moderate sagebrush cover (quadratic relationship) and avoid anthropogenic edge habitat for nesting. Nests were more successful in heterogeneous habitats, but nest success was independent of anthropogenic features. Similarly, broods selected heterogeneous high-productivity habitats with sagebrush while avoiding human developments, cultivated cropland, and high densities of oil wells. Chick mortalities tended to occur in proximity to oil and gas developments and along riparian habitats. For nests and broods, respectively, approximately 10% and 5% of the study area was considered source habitat, whereas 19% and 15% of habitat was attractive sink habitat. Limited source habitats appear to be the main reason for poor nest success (39%) and low chick survival (12%). Our habitat models identify areas of protection priority and areas that require immediate management attention to enhance recruitment to secure the viability of this population. This novel approach to habitat-based population viability modeling has merit for many species of concern. ?? 2007 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/05-1871","issn":"10510761","usgsCitation":"Aldridge, C.L., and Boyce, M.S., 2007, Linking occurrence and fitness to persistence: Habitat-based approach for endangered Greater Sage-Grouse: Ecological Applications, v. 17, no. 2, p. 508-526, https://doi.org/10.1890/05-1871.","startPage":"508","endPage":"526","numberOfPages":"19","costCenters":[],"links":[{"id":242500,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214750,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/05-1871"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a47d9e4b0c8380cd67a10","contributors":{"authors":[{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":434473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Mark S.","contributorId":113205,"corporation":false,"usgs":false,"family":"Boyce","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":434472,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032059,"text":"70032059 - 2007 - Insights on geochemical cycling of U, Re and Mo from seasonal sampling in Boston Harbor, Massachusetts, USA","interactions":[],"lastModifiedDate":"2018-03-09T13:28:23","indexId":"70032059","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Insights on geochemical cycling of U, Re and Mo from seasonal sampling in Boston Harbor, Massachusetts, USA","docAbstract":"<p>This study examined the removal of U, Mo, and Re from seawater by sedimentary processes at a shallow-water site with near-saturation bottom water O<sub>2</sub><span>&nbsp;</span>levels (240–380&nbsp;μmol&nbsp;O<sub>2</sub>/L), very high organic matter oxidation rates (annually averaged rate is 880&nbsp;μmol&nbsp;C/cm<sup>2</sup>/y), and shallow oxygen penetration depths (4&nbsp;mm or less throughout the year). Under these conditions, U, Mo, and Re were removed rapidly to asymptotic pore water concentrations of 2.2–3.3&nbsp;nmol/kg (U), 7–13&nbsp;nmol/kg (Mo), and 11–14&nbsp;pmol/kg (Re). The depth order in which the three metals were removed, determined by fitting a diffusion-reaction model to measured profiles, was Re&nbsp;&lt;&nbsp;U&nbsp;&lt;&nbsp;Mo. Model fits also suggest that the Mo profiles clearly showed the presence of a near-interface layer in which Mo was added to pore waters by remineralization of a solid phase. The importance of this solid phase source of pore water Mo increased from January to October as the organic matter oxidation rate increased, bottom water O<sub>2</sub><span>&nbsp;</span>decreased, and the O<sub>2</sub><span>&nbsp;</span>penetration depth decreased. Experiments with<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>benthic flux chambers generally showed fluxes of U and Mo into the sediments. However, when the overlying water O<sub>2</sub><span>&nbsp;</span>concentration in the chambers was allowed to drop to very low levels, Mn and Fe were released to the overlying water along with the simultaneous release of Mo and U. These experiments suggest that remineralization of Mn and/or Fe oxides may be a source of Mo and perhaps U to pore waters, and may complicate the accumulation of U and Mo in bioturbated sediments with high organic matter oxidation rates and shallow O<sub>2</sub><span>&nbsp;</span>penetration depths.</p><p>Benthic chamber experiments including the nonreactive solute tracer, Br<sup>−</sup>, indicated that sediment irrigation was very important to solute exchange at the study site. The enhancement of sediment–seawater exchange due to irrigation was determined for the nonreactive tracer (Br<sup>−</sup>), TCO<sub>2</sub>,<span>&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mmultiscripts is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>NH</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></mmultiscripts></mrow></math>\"><span class=\"MJX_Assistive_MathML\">NH<sub>4</sub><sup>+</sup></span></span>, U and Mo. The comparisons between these solutes showed that reactions within and around the burrows were very important for modulating the Mo flux, but less important for U. The effect of these reactions on Mo exchange was highly variable, enhancing Mo (and, to a lesser extent, U) uptake at times of relatively modest irrigation, but inhibiting exchange when irrigation rates were faster. These results reinforce the observation that Mo can be released to and removed from pore waters via sedimentary reactions.</p><p>The removal rate of U and Mo from seawater by sedimentary reactions was found to agree with the rate of accumulation of authigenic U and Mo in the solid phase. The fluxes of U and Mo determined by<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>benthic flux chamber measurements were the largest that have been measured to date. These results confirm that removal of redox-sensitive metals from continental margin sediments underlying oxic bottom water is important, and suggest that continental margin sediments play a key role in the marine budgets of these metals.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gca.2006.10.016","issn":"00167037","usgsCitation":"Morford, J., Martin, W.R., Kalnejais, L., Francois, R., Bothner, M., and Karle, I., 2007, Insights on geochemical cycling of U, Re and Mo from seasonal sampling in Boston Harbor, Massachusetts, USA: Geochimica et Cosmochimica Acta, v. 71, no. 4, p. 895-917, https://doi.org/10.1016/j.gca.2006.10.016.","startPage":"895","endPage":"917","numberOfPages":"23","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":477173,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/1623","text":"External Repository"},{"id":214849,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2006.10.016"},{"id":242602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c21e4b0c8380cd62ac2","contributors":{"authors":[{"text":"Morford, J.L.","contributorId":82145,"corporation":false,"usgs":true,"family":"Morford","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":434352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, W. R.","contributorId":27690,"corporation":false,"usgs":false,"family":"Martin","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":434349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalnejais, Linda H.","contributorId":36376,"corporation":false,"usgs":false,"family":"Kalnejais","given":"Linda H.","affiliations":[],"preferred":false,"id":434350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francois, R.","contributorId":107911,"corporation":false,"usgs":true,"family":"Francois","given":"R.","email":"","affiliations":[],"preferred":false,"id":434353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":434351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karle, I.-M.","contributorId":16238,"corporation":false,"usgs":true,"family":"Karle","given":"I.-M.","email":"","affiliations":[],"preferred":false,"id":434348,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032055,"text":"70032055 - 2007 - Sensitivity of high-frequency Rayleigh-wave data revisited","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70032055","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sensitivity of high-frequency Rayleigh-wave data revisited","docAbstract":"Rayleigh-wave phase velocity of a layered earth model is a function of frequency and four groups of earth properties: P-wave velocity, S-wave velocity (Vs), density, and thickness of layers. Analysis of the Jacobian matrix (or the difference method) provides a measure of dispersion curve sensitivity to earth properties. Vs is the dominant influence for the fundamental mode (Xia et al., 1999) and higher modes (Xia et al., 2003) of dispersion curves in a high frequency range (>2 Hz) followed by layer thickness. These characteristics are the foundation of determining S-wave velocities by inversion of Rayleigh-wave data. More applications of surface-wave techniques show an anomalous velocity layer such as a high-velocity layer (HVL) or a low-velocity layer (LVL) commonly exists in near-surface materials. Spatial location (depth) of an anomalous layer is usually the most important information that surface-wave techniques are asked to provide. Understanding and correctly defining the sensitivity of high-frequency Rayleigh-wave data due to depth of an anomalous velocity layer are crucial in applying surface-wave techniques to obtain a Vs profile and/or determine the depth of an anomalous layer. Because depth is not a direct earth property of a layered model, changes in depth will result in changes in other properties. Modeling results show that sensitivity at a given depth calculated by the difference method is dependent on the Vs difference (contrast) between an anomalous layer and surrounding layers. The larger the contrast is, the higher the sensitivity due to depth of the layer. Therefore, the Vs contrast is a dominant contributor to sensitivity of Rayleigh-wave data due to depth of an anomalous layer. Modeling results also suggest that the most sensitive depth for an HVL is at about the middle of the depth to the half-space, but for an LVL it is near the ground surface. ?? 2007 Society of Exploration Geophysicists.","largerWorkTitle":"SEG Technical Program Expanded Abstracts","language":"English","doi":"10.1190/1.2792614","issn":"10523812","usgsCitation":"Xia, J., Miller, R., and Ivanov, J., 2007, Sensitivity of high-frequency Rayleigh-wave data revisited, <i>in</i> SEG Technical Program Expanded Abstracts, v. 26, no. 1, p. 1142-1146, https://doi.org/10.1190/1.2792614.","startPage":"1142","endPage":"1146","numberOfPages":"5","costCenters":[],"links":[{"id":214781,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.2792614"},{"id":242532,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-09-14","publicationStatus":"PW","scienceBaseUri":"505b8d30e4b08c986b3182c1","contributors":{"authors":[{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":434337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":434338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivanov, J.","contributorId":107068,"corporation":false,"usgs":true,"family":"Ivanov","given":"J.","email":"","affiliations":[],"preferred":false,"id":434339,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032028,"text":"70032028 - 2007 - Bora event variability and the role of air-sea feedback","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70032028","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Bora event variability and the role of air-sea feedback","docAbstract":"A two-way interacting high resolution numerical simulation of the Adriatic Sea using the Navy Coastal Ocean Model (NCOM) and Coupled Ocean/ Atmosphere Mesoscale Prediction System (COAMPS??) was conducted to improve forecast momentum and heat flux fields, and to evaluate surface flux field differences for two consecutive bora events during February 2003. (COAMPS?? is a registered trademark of the Naval Research Laboratory.) The strength, mean positions and extensions of the bora jets, and the atmospheric conditions driving them varied considerably between the two events. Bora 1 had 62% stronger heat flux and 51% larger momentum flux than bora 2. The latter displayed much greater diurnal variability characterized by inertial oscillations and the early morning strengthening of a west Adriatic barrier jet, beneath which a stronger west Adriatic ocean current developed. Elsewhere, surface ocean current differences between the two events were directly related to differences in wind stress curl generated by the position and strength of the individual bora jets. The mean heat flux bias was reduced by 72%, and heat flux RMSE reduced by 30% on average at four instrumented over-water sites in the two-way coupled simulation relative to the uncoupled control. Largest reductions in wind stress were found in the bora jets, while the biggest reductions in heat flux were found along the north and west coasts of the Adriatic. In bora 2, SST gradients impacted the wind stress curl along the north and west coasts, and in bora 1 wind stress curl was sensitive to the Istrian front position and strength. The two-way coupled simulation produced diminished surface current speeds of ???12% over the northern Adriatic during both bora compared with a one-way coupled simulation. Copyright 2007 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2006JC003726","issn":"01480227","usgsCitation":"Pullen, J., Doyle, J., Haack, T., Dorman, C., Signell, R.P., and Lee, C., 2007, Bora event variability and the role of air-sea feedback: Journal of Geophysical Research C: Oceans, v. 112, no. 3, https://doi.org/10.1029/2006JC003726.","costCenters":[],"links":[{"id":477170,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3671","text":"External Repository"},{"id":242629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214873,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006JC003726"}],"volume":"112","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-02-13","publicationStatus":"PW","scienceBaseUri":"5059f20fe4b0c8380cd4afb1","contributors":{"authors":[{"text":"Pullen, J.","contributorId":34339,"corporation":false,"usgs":true,"family":"Pullen","given":"J.","email":"","affiliations":[],"preferred":false,"id":434215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, J.D.","contributorId":67917,"corporation":false,"usgs":true,"family":"Doyle","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":434217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haack, T.","contributorId":89366,"corporation":false,"usgs":true,"family":"Haack","given":"T.","email":"","affiliations":[],"preferred":false,"id":434219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorman, C.","contributorId":25781,"corporation":false,"usgs":true,"family":"Dorman","given":"C.","email":"","affiliations":[],"preferred":false,"id":434214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Signell, R. P.","contributorId":89147,"corporation":false,"usgs":true,"family":"Signell","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":434218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, C.M.","contributorId":40031,"corporation":false,"usgs":true,"family":"Lee","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":434216,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032025,"text":"70032025 - 2007 - Earthquake likelihood model testing","interactions":[],"lastModifiedDate":"2017-08-15T14:09:02","indexId":"70032025","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake likelihood model testing","docAbstract":"<h1>INTRODUCTION</h1><p id=\"p-1\">The Regional Earthquake Likelihood Models (RELM) project aims to produce and evaluate alternate models of earthquake potential (probability per unit volume, magnitude, and time) for California. Based on differing assumptions, these models are produced to test the validity of their assumptions and to explore which models should be incorporated in seismic hazard and risk evaluation. Tests based on physical and geological criteria are useful but we focus on statistical methods using future earthquake catalog data only. We envision two evaluations: a test of consistency with observed data and a comparison of all pairs of models for relative consistency. Both tests are based on the likelihood method, and both are fully prospective (<i>i.e.</i>, the models are not adjusted to fit the test data). To be tested, each model must assign a probability to any possible event within a specified region of space, time, and magnitude. For our tests the models must use a common format: earthquake rates in specified “bins” with location, magnitude, time, and focal mechanism limits.</p><p id=\"p-2\">Seismology cannot yet deterministically predict individual earthquakes; however, it should seek the best possible models for forecasting earthquake occurrence. This paper describes the statistical rules of an experiment to examine and test earthquake forecasts. The primary purposes of the tests described below are to evaluate physical models for earthquakes, assure that source models used in seismic hazard and risk studies are consistent with earthquake data, and provide quantitative measures by which models can be assigned weights in a consensus model or be judged as suitable for particular regions.</p><p id=\"p-3\">In this paper we develop a statistical method for testing earthquake likelihood models. A companion paper (<a id=\"xref-ref-16-1\" class=\"xref-bibr article-ref-popup hasTooltip\" href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-16\" data-hasqtip=\"0\" data-mce-href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-16\">Schorlemmer and Gerstenberger 2007</a>, this issue) discusses the actual implementation of these tests in the framework of the RELM initiative.</p><p id=\"p-4\">Statistical testing of hypotheses is a common task and a wide range of possible testing procedures exist. Jolliffe and Stephenson (<a id=\"xref-ref-9-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-9\" data-mce-href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-9\">2003</a>) present different forecast verifications from atmospheric science, among them likelihood testing of probability forecasts and testing the occurrence of binary events. Testing binary events requires that for each forecasted event, the spatial, temporal and magnitude limits be given. Although major earthquakes can be considered binary events, the models within the RELM project express their forecasts on a spatial grid and in 0.1 magnitude units; thus the results are a distribution of rates over space and magnitude. These forecasts can be tested with likelihood tests.</p><p id=\"p-5\">In general, likelihood tests assume a valid null hypothesis against which a given hypothesis is tested. The outcome is either a rejection of the null hypothesis in favor of the test hypothesis or a nonrejection, meaning the test hypothesis cannot outperform the null hypothesis at a given significance level. Within RELM, there is no accepted null hypothesis and thus the likelihood test needs to be expanded to allow comparable testing of equipollent hypotheses.</p><p id=\"p-6\">To test models against one another, we require that forecasts are expressed in a standard format: the average rate of earthquake occurrence within pre-specified limits of hypocentral latitude, longitude, depth, magnitude, time period, and focal mechanisms. Focal mechanisms should either be described as the inclination of<span>&nbsp;</span><i>P</i>-axis, declination of<span>&nbsp;</span><i>P</i>-axis, and inclination of the<span>&nbsp;</span><i>T</i>-axis, or as strike, dip, and rake angles. Schorlemmer and Gerstenberger (<a id=\"xref-ref-16-2\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-16\" data-mce-href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-16\">2007</a>, this issue) designed classes of these parameters such that similar models will be tested against each other. These classes make the forecasts comparable between models. Additionally, we are limited to testing only what is precisely defined and consistently reported in earthquake catalogs. Therefore it is currently not possible to test such information as fault rupture length or area, asperity location, etc. Also, to account for data quality issues, we allow for location and magnitude uncertainties as well as the probability that an event is dependent on another event.</p><p id=\"p-7\">As we mentioned above, only models with comparable forecasts can be tested against each other. Our current tests are designed to examine grid-based models. This requires that any fault-based model be adapted to a grid before testing is possible. While this is a limitation of the testing, it is an inherent difficulty in any such comparative testing. Please refer to appendix B for a statistical evaluation of the application of the Poisson hypothesis to fault-based models.</p><p id=\"p-8\">The testing suite we present consists of three different tests: L-Test, N-Test, and R-Test. These tests are defined similarily to Kagan and Jackson (<a id=\"xref-ref-12-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-12\" data-mce-href=\"http://srl.geoscienceworld.org/content/78/1/17#ref-12\">1995</a>). The first two tests examine the consistency of the hypotheses with the observations while the last test compares the spatial performances of the models.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.78.1.17","issn":"08950695","usgsCitation":"Schorlemmer, D., Gerstenberger, M., Wiemer, S., Jackson, D., and Rhoades, D., 2007, Earthquake likelihood model testing: Seismological Research Letters, v. 78, no. 1, p. 17-29, https://doi.org/10.1785/gssrl.78.1.17.","productDescription":"13 p.","startPage":"17","endPage":"29","costCenters":[],"links":[{"id":242566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a04f5e4b0c8380cd50bb8","contributors":{"authors":[{"text":"Schorlemmer, D.","contributorId":30468,"corporation":false,"usgs":true,"family":"Schorlemmer","given":"D.","affiliations":[],"preferred":false,"id":434204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerstenberger, M.C.","contributorId":51977,"corporation":false,"usgs":true,"family":"Gerstenberger","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":434207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiemer, S.","contributorId":22115,"corporation":false,"usgs":true,"family":"Wiemer","given":"S.","affiliations":[],"preferred":false,"id":434203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, D.D.","contributorId":41011,"corporation":false,"usgs":true,"family":"Jackson","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":434205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rhoades, D.A.","contributorId":45121,"corporation":false,"usgs":true,"family":"Rhoades","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":434206,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032024,"text":"70032024 - 2007 - Scaling local species-habitat relations to the larger landscape with a hierarchical spatial count model","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70032024","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Scaling local species-habitat relations to the larger landscape with a hierarchical spatial count model","docAbstract":"Much of what is known about avian species-habitat relations has been derived from studies of birds at local scales. It is entirely unclear whether the relations observed at these scales translate to the larger landscape in a predictable linear fashion. We derived habitat models and mapped predicted abundances for three forest bird species of eastern North America using bird counts, environmental variables, and hierarchical models applied at three spatial scales. Our purpose was to understand habitat associations at multiple spatial scales and create predictive abundance maps for purposes of conservation planning at a landscape scale given the constraint that the variables used in this exercise were derived from local-level studies. Our models indicated a substantial influence of landscape context for all species, many of which were counter to reported associations at finer spatial extents. We found land cover composition provided the greatest contribution to the relative explained variance in counts for all three species; spatial structure was second in importance. No single spatial scale dominated any model, indicating that these species are responding to factors at multiple spatial scales. For purposes of conservation planning, areas of predicted high abundance should be investigated to evaluate the conservation potential of the landscape in their general vicinity. In addition, the models and spatial patterns of abundance among species suggest locations where conservation actions may benefit more than one species. ?? 2006 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10980-006-9005-2","issn":"09212973","usgsCitation":"Thogmartin, W., and Knutson, M.G., 2007, Scaling local species-habitat relations to the larger landscape with a hierarchical spatial count model: Landscape Ecology, v. 22, no. 1, p. 61-75, https://doi.org/10.1007/s10980-006-9005-2.","startPage":"61","endPage":"75","numberOfPages":"15","costCenters":[],"links":[{"id":214813,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-006-9005-2"},{"id":242565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2006-06-14","publicationStatus":"PW","scienceBaseUri":"505b8716e4b08c986b3162e3","contributors":{"authors":[{"text":"Thogmartin, W.E. 0000-0002-2384-4279","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":26392,"corporation":false,"usgs":true,"family":"Thogmartin","given":"W.E.","affiliations":[],"preferred":false,"id":434201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knutson, M. G.","contributorId":55375,"corporation":false,"usgs":false,"family":"Knutson","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":434202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031991,"text":"70031991 - 2007 - Ground-penetrating radar: A tool for monitoring bridge scour","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70031991","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Ground-penetrating radar: A tool for monitoring bridge scour","docAbstract":"Ground-penetrating radar (GPR) data were acquired across shallow streams and/or drainage ditches at 10 bridge sites in Missouri by maneuvering the antennae across the surface of the water and riverbank from the bridge deck, manually or by boat. The acquired two-dimensional and three-dimensional data sets accurately image the channel bottom, demonstrating that the GPR tool can be used to estimate and/or monitor water depths in shallow fluvial environments. The study results demonstrate that the GPR tool is a safe and effective tool for measuring and/or monitoring scour in proximity to bridges. The technique can be used to safely monitor scour at assigned time intervals during peak flood stages, thereby enabling owners to take preventative action prior to potential failure. The GPR tool can also be used to investigate depositional and erosional patterns over time, thereby elucidating these processes on a local scale. In certain instances, in-filled scour features can also be imaged and mapped. This information may be critically important to those engaged in bridge design. GPR has advantages over other tools commonly employed for monitoring bridge scour (reflection seismic profiling, echo sounding, and electrical conductivity probing). The tool doesn't need to be coupled to the water, can be moved rapidly across (or above) the surface of a stream, and provides an accurate depth-structure model of the channel bottom and subchannel bottom sediments. The GPR profiles can be extended across emerged sand bars or onto the shore.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Engineering Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2113/gseegeosci.13.1.1","issn":"10787275","usgsCitation":"Anderson, N., Ismael, A., and Thitimakorn, T., 2007, Ground-penetrating radar: A tool for monitoring bridge scour: Environmental & Engineering Geoscience, v. 13, no. 1, p. 1-10, https://doi.org/10.2113/gseegeosci.13.1.1.","startPage":"1","endPage":"10","numberOfPages":"10","costCenters":[],"links":[{"id":214810,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/gseegeosci.13.1.1"},{"id":242562,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2b74e4b0c8380cd5b9c1","contributors":{"authors":[{"text":"Anderson, N.L.","contributorId":55129,"corporation":false,"usgs":true,"family":"Anderson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":434022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ismael, A.M.","contributorId":88168,"corporation":false,"usgs":true,"family":"Ismael","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":434024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thitimakorn, T.","contributorId":75770,"corporation":false,"usgs":true,"family":"Thitimakorn","given":"T.","email":"","affiliations":[],"preferred":false,"id":434023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031971,"text":"70031971 - 2007 - Modelingevapotranspirationina sub-tropical climate","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031971","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2257,"text":"Journal of Environmental Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modelingevapotranspirationina sub-tropical climate","docAbstract":"Evapotranspiration (ET) loss is estimated at about 80-85% of annual precipitation in South Florida. Accurate prediction of ET is important during and beyond the implementation of the Comprehensive Everglades Restoration Plan (CERP). In the USDA's Everglades Agro-Hydrology Model (EAHM) the soil water intake is linked with the soil water redistribution, soil evaporation, plant transpiration, subsurface lateral flow and subsurface drainage to calculate daily root zone soil water content. Hydrometeorological data from three sites with different soil moisture content and vegetal cover were used to evaluate the EAHM ET routine. In general, the EAHM water balance sub-model simulated the daily ET with acceptable accuracy in the area with standing water (Everglades) while using the Penman method. However, in the area with grass cover, there was a discrepancy between the model simulated and measured ET using either the Penman or the Priestley-Taylor method. The results indicated that in the region with two distinct climate patterns: dry (low humidity, more wind, and less precipitation) and wet (high humidity, less wind and more rainfall) such as South Florida, a combination method like Penman should be used for prediction of daily ET. However, in order to improve the predictability of the ET methods, information about surface albedo is needed for land surfaces with grass vegetation during the growing season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10583912","usgsCitation":"Savabi, M., Cochrane, T., German, E., Ikiz, C., and Cockshutt, N., 2007, Modelingevapotranspirationina sub-tropical climate: Journal of Environmental Hydrology, v. 15, p. 1-15.","startPage":"1","endPage":"15","numberOfPages":"15","costCenters":[],"links":[{"id":242789,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c5ee4b0c8380cd6fc35","contributors":{"authors":[{"text":"Savabi, M.R.","contributorId":25376,"corporation":false,"usgs":true,"family":"Savabi","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":433947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, T.A.","contributorId":42447,"corporation":false,"usgs":true,"family":"Cochrane","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":433948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"German, E.","contributorId":45133,"corporation":false,"usgs":true,"family":"German","given":"E.","affiliations":[],"preferred":false,"id":433950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ikiz, C.","contributorId":101901,"corporation":false,"usgs":true,"family":"Ikiz","given":"C.","email":"","affiliations":[],"preferred":false,"id":433951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cockshutt, N.","contributorId":43187,"corporation":false,"usgs":true,"family":"Cockshutt","given":"N.","email":"","affiliations":[],"preferred":false,"id":433949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031970,"text":"70031970 - 2007 - Sea level rise in Tampa Bay","interactions":[],"lastModifiedDate":"2021-05-26T17:34:01.08709","indexId":"70031970","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Sea level rise in Tampa Bay","docAbstract":"<p>Understanding relative sea level (RSL) rise during periods of rapid climatic change is critical for evaluating modern sea level rise given the vulnerability of Antarctic ice shelves to collapse [<i>Hodgson et al,</i><span>&nbsp;</span>2006], the retreat of the world's glaciers [<i>Oerlemans,</i><span>&nbsp;</span>2005], and mass balance trends of the Greenland ice sheet [<i>Rignot and Kanagaratnam,</i><span>&nbsp;</span>2006]. The first-order pattern of global sea level rise following the Last Glacial Maximum (LGM, ∼21,000 years ago) is well established from coral [<i>Fairbanks,</i><span>&nbsp;</span>1989], continental shelf [<i>Hanebuth et al,</i><span>&nbsp;</span>2000], and other records [<i>Pirazzoli,</i><span>&nbsp;</span>2000] and has been integrated into a global ICE-5G model of glacio-isostatic adjustment (GIA) [<i>Peltier,</i><span>&nbsp;</span>2004]. However, uncertainty introduced by paleo water depth of sea level indicators, radiocarbon chronology (i.e., reservoir corrections for marine shell dates), postglacial isostatic adjustment, and other processes affecting vertical position of former shorelines produces scatter in RSL curves, limiting our knowledge of sea level rise during periods of rapid glacial decay.</p><p>One example of this limitation is the Gulf of Mexico/Florida region where, despite decades of study, RSL curves produce two conflicting patterns: those showing progressive submergence with a decelerating rate during the past 5000 years [<i>Scholl et al,</i><span>&nbsp;</span>1969] and those showing high sea level during the middle of the Holocene [<i>Blum et al,</i><span>&nbsp;</span>2001;<span>&nbsp;</span><i>Balsillie and Donoghue,</i><span>&nbsp;</span>2004], where the Holocene represents a geologic epoch that extends from about 10,000 years ago to present times. This discrepancy is emblematic of the uncertainty surrounding Holocene sea level and ice volume history in general.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2007EO100002","usgsCitation":"Cronin, T., Edgar, N., Brooks, G.L., Hastings, D., Larson, R., Hine, A., Locker, S., Suthard, B., Flower, B., Hollander, D., Wehmiller, J., Willard, D., and Smith, S., 2007, Sea level rise in Tampa Bay: Eos, Transactions, American Geophysical Union, v. 88, no. 10, p. 117-118, https://doi.org/10.1029/2007EO100002.","productDescription":"5 p.","startPage":"117","endPage":"118","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":477205,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007eo100002","text":"Publisher Index Page"},{"id":242758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","city":"Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.70233154296875,\n              27.632440508426797\n            ],\n            [\n              -82.5677490234375,\n              27.586197857692664\n            ],\n            [\n              -82.41668701171875,\n              27.661636331915222\n            ],\n            [\n              -82.37274169921875,\n              27.817215593059487\n            ],\n            [\n              -82.386474609375,\n              27.97984914504167\n            ],\n            [\n              -82.73254394531249,\n              28.05259082333986\n            ],\n            [\n              -82.70233154296875,\n              27.632440508426797\n            ]\n          ]\n        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D.","contributorId":43186,"corporation":false,"usgs":true,"family":"Hastings","given":"D.","affiliations":[],"preferred":false,"id":433939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, R.","contributorId":30438,"corporation":false,"usgs":true,"family":"Larson","given":"R.","affiliations":[],"preferred":false,"id":433936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hine, A.","contributorId":96107,"corporation":false,"usgs":true,"family":"Hine","given":"A.","affiliations":[],"preferred":false,"id":433945,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Locker, S.","contributorId":72218,"corporation":false,"usgs":true,"family":"Locker","given":"S.","affiliations":[],"preferred":false,"id":433943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Suthard, B.","contributorId":103105,"corporation":false,"usgs":true,"family":"Suthard","given":"B.","affiliations":[],"preferred":false,"id":433946,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Flower, B.","contributorId":51116,"corporation":false,"usgs":true,"family":"Flower","given":"B.","email":"","affiliations":[],"preferred":false,"id":433940,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hollander, D.","contributorId":52417,"corporation":false,"usgs":true,"family":"Hollander","given":"D.","email":"","affiliations":[],"preferred":false,"id":433941,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wehmiller, J.","contributorId":20997,"corporation":false,"usgs":true,"family":"Wehmiller","given":"J.","email":"","affiliations":[],"preferred":false,"id":433935,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":433942,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, S.","contributorId":20698,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"","affiliations":[],"preferred":false,"id":433934,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70031969,"text":"70031969 - 2007 - Surface drifter derived circulation in the northern and middle Adriatic Sea: Response to wind regime and season","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031969","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Surface drifter derived circulation in the northern and middle Adriatic Sea: Response to wind regime and season","docAbstract":"More than 120 satellite-tracked drifters were deployed in the northern and middle Adriatic (NMA) Sea between September 2002 and November 2003, with the purpose of studying the surface circulation at mesoscale to seasonal scale in relation to wind forcing, river runoff, and bottom topography. Pseudo-Eulerian and Lagrangian statistics were calculated from the low-pass-filtered drifter velocity data between September 2002 and December 2003. The structure of the mean circulation is determined with unprecedented high horizontal resolution by the new data. In particular, mean currents, velocity variance, and kinetic energy levels are shown to be maximal in the Western Adriatic Current (WAC). Separating data into seasons, we found that the mean kinetic energy is maximal in fall, with high values also in winter, while it is significantly weaker in summer. High-resolution Local Area Model Italy winds were used to relate the drifter velocities to the wind fields. The surface currents appear to be significantly influenced by the winds. The mean flow during the northeasterly bora regime shows an intensification of the across-basin recirculating currents. In addition, the WAC is strongly intensified both in intensity and in its offshore lateral extension. In the southeasterly sirocco regime, northward flow without recirculation dominates in the eastern half of the basin, while during northwesterly maestro the WAC is enhanced. Separating the data into low and high Po River discharge rates for low-wind conditions shows that the WAC and the velocity fluctuations in front of the Po delta are stronger for high Po River runoff. Lagrangian covariance, diffusivity, and integral time and space scales are larger in the along-basin direction and are maximal in the southern portion of the WAC. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005JC003177","issn":"01480227","usgsCitation":"Ursella, L., Poulain, P., and Signell, R.P., 2007, Surface drifter derived circulation in the northern and middle Adriatic Sea: Response to wind regime and season: Journal of Geophysical Research C: Oceans, v. 112, no. 3, https://doi.org/10.1029/2005JC003177.","costCenters":[],"links":[{"id":487040,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005jc003177","text":"Publisher Index Page"},{"id":214994,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005JC003177"},{"id":242757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-12-15","publicationStatus":"PW","scienceBaseUri":"505b9fa5e4b08c986b31e74b","contributors":{"authors":[{"text":"Ursella, L.","contributorId":55658,"corporation":false,"usgs":true,"family":"Ursella","given":"L.","email":"","affiliations":[],"preferred":false,"id":433931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulain, P.-M.","contributorId":81230,"corporation":false,"usgs":true,"family":"Poulain","given":"P.-M.","email":"","affiliations":[],"preferred":false,"id":433932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Signell, R. P.","contributorId":89147,"corporation":false,"usgs":true,"family":"Signell","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":433933,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031966,"text":"70031966 - 2007 - Incorporating availability for detection in estimates of bird abundance","interactions":[],"lastModifiedDate":"2017-05-08T12:58:12","indexId":"70031966","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Incorporating availability for detection in estimates of bird abundance","docAbstract":"<p><span>Several bird-survey methods have been proposed that provide an estimated detection probability so that bird-count statistics can be used to estimate bird abundance. However, some of these estimators adjust counts of birds observed by the probability that a bird is detected and assume that all birds are available to be detected at the time of the survey. We marked male Henslow's Sparrows (</span><i>Ammodramus henslowii</i><span>) and Grasshopper Sparrows (</span><i>A. savannarum</i><span>) and monitored their behavior during May-July 2002 and 2003 to estimate the proportion of time they were available for detection. We found that the availability of Henslow's Sparrows declined in late June to &lt;10% for 5- or 10-min point counts when a male had to sing and be visible to the observer; but during 20 May-19 June, males were available for detection 39.1% (SD = 27.3) of the time for 5-min point counts and 43.9% (SD = 28.9) of the time for 10-min point counts (</span><i>n</i><span> = 54). We detected no temporal changes in availability for Grasshopper Sparrows, but estimated availability to be much lower for 5-min point counts (10.3%, SD = 12.2) than for 10-min point counts (19.2%, SD = 22.3) when males had to be visible and sing during the sampling period (</span><i>n</i><span> = 80). For distance sampling, we estimated the availability of Henslow's Sparrows to be 44.2% (SD = 29.0) and the availability of Grasshopper Sparrows to be 20.6% (SD = 23.5). We show how our estimates of availability can be incorporated in the abundance and variance estimators for distance sampling and modify the abundance and variance estimators for the double-observer method. Methods that directly estimate availability from bird counts but also incorporate detection probabilities need further development and will be important for obtaining unbiased estimates of abundance for these species.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/0004-8038(2007)124[96:IAFDIE]2.0.CO;2","issn":"00048038","usgsCitation":"Diefenbach, D., Marshall, M., Mattice, J., and Brauning, D., 2007, Incorporating availability for detection in estimates of bird abundance: The Auk, v. 124, no. 1, p. 96-106, https://doi.org/10.1642/0004-8038(2007)124[96:IAFDIE]2.0.CO;2.","productDescription":"11 p.","startPage":"96","endPage":"106","costCenters":[],"links":[{"id":242721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a39e6e4b0c8380cd61a92","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":106592,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane R.","affiliations":[],"preferred":false,"id":433919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, M.R.","contributorId":82427,"corporation":false,"usgs":true,"family":"Marshall","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":433918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattice, J.A.","contributorId":12705,"corporation":false,"usgs":true,"family":"Mattice","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":433916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brauning, D.W.","contributorId":45129,"corporation":false,"usgs":true,"family":"Brauning","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":433917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70031965,"text":"70031965 - 2007 - Prioritizing bottomland hardwood forest sites for protection and augmentation","interactions":[],"lastModifiedDate":"2019-09-30T12:01:24","indexId":"70031965","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing bottomland hardwood forest sites for protection and augmentation","docAbstract":"Bottomland hardwood forest has been greatly diminished by conversion to agriculture. Less than 25% of the pre-Columbian bottomland hardwood forests remain in the southeastern United States. Because of the valuable ecological and hydrological functions performed by these forests, their conservation and restoration has been a high priority. Part of these restoration efforts has focused on developing tools that can be used for both assessments at the landscape level and policy implementation at the local level. The distribution of bottomland hardwood forests in the Cache and White River watersheds in eastern Arkansas were examined using existing GIS databases. Criteria were developed to select areas that should be conserved or augmented for wildlife habitat. Over 67% of the study area was classified as agriculture, with bottomland hardwood forest the next largest habitat class. The thickness of a forest fragment was defined as the radius of the largest circle that can be inscribed in a fragment. Thickness was used in three ways. First, individual forest fragments were identified and selected based on ecological function using criteria we established. Second, individual fragments that were too small to support interior species, but large enough that if moderately augmented they could recover that function, were identified and selected. These augmentable fragments were further prioritized by adjacency to habitat that might be suitable for reforestation, namely agriculture. Third, watersheds were prioritized for conservation and augmentation based on the size and distributions of forest fragment thickness and area within each watershed.","language":"English","publisher":"Natural Areas Association","doi":"10.3375/0885-8608(2007)27[72:PBHFSF]2.0.CO;2","issn":"08858608","usgsCitation":"Carter, J., and Biagas, J., 2007, Prioritizing bottomland hardwood forest sites for protection and augmentation: Natural Areas Journal, v. 27, no. 1, p. 72-82, https://doi.org/10.3375/0885-8608(2007)27[72:PBHFSF]2.0.CO;2.","productDescription":"11 p.","startPage":"72","endPage":"82","numberOfPages":"11","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":242688,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.197265625,\n              33.89321737944089\n            ],\n            [\n              -90.087890625,\n              33.89321737944089\n            ],\n            [\n              -90.087890625,\n              36.16892253622743\n            ],\n            [\n              -92.197265625,\n              36.16892253622743\n            ],\n            [\n              -92.197265625,\n              33.89321737944089\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8c71e4b0c8380cd7e6bc","contributors":{"authors":[{"text":"Carter, J. 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":81839,"corporation":false,"usgs":true,"family":"Carter","given":"J.","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":433915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biagas, J. 0000-0001-5548-1970","orcid":"https://orcid.org/0000-0001-5548-1970","contributorId":51558,"corporation":false,"usgs":true,"family":"Biagas","given":"J.","affiliations":[],"preferred":false,"id":433914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031963,"text":"70031963 - 2007 - Lack of size selectivity for paddlefish captured in hobbled gillnets","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031963","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Lack of size selectivity for paddlefish captured in hobbled gillnets","docAbstract":"A commercial fishery for paddlefish Polyodon spathula caviar exists in Kentucky Lake, a reservoir on the lower Tennessee River. A 152-mm (bar-measure) minimum mesh size restriction on entanglement gear was enacted in 2002 and the minimum size limit was increased to 864 mm eye-fork length to reduce the possibility of recruitment overfishing. Paddlefish were sampled in 2003-2004 using experimental monofilament gillnets with panels of 89, 102, 127, 152, 178, and 203-mm meshes and the efficacy of the mesh size restriction was evaluated. Following the standards of commercial gear used in that fishery, nets were \"hobbled\" (i.e., 128 m ?? 3.6 m nets were tied down to 2.4 m; 91 m ?? 9.1 m nets were tied down to 7.6 m). The mean lengths of paddlefish (Ntotal = 576 fish) captured in each mesh were similar among most meshes and bycatch rates of sublegal fish did not vary with mesh size. Selectivity curves could not be modeled because the mean and modal lengths of fish captured in each mesh did not increase with mesh size. Ratios of fish girth to mesh perimeter (G:P) for individual fish were often less than 1.0 as a result of the largest meshes capturing small paddlefish. It is unclear whether lack of size selectivity for paddlefish was because the gillnets were hobbled, the unique morphology of paddlefish, or the fact that they swim with their mouths agape when filter feeding. The lack of size selectivity by hobbled gillnets fished in Kentucky Lake means that managers cannot influence the size of paddlefish captured by commercial gillnet gear by changing minimum mesh size regulations. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.fishres.2006.11.005","issn":"01657836","usgsCitation":"Scholten, G., and Bettoli, P., 2007, Lack of size selectivity for paddlefish captured in hobbled gillnets: Fisheries Research, v. 83, no. 2-3, p. 355-359, https://doi.org/10.1016/j.fishres.2006.11.005.","startPage":"355","endPage":"359","numberOfPages":"5","costCenters":[],"links":[{"id":214899,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2006.11.005"},{"id":242657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a412de4b0c8380cd6536e","contributors":{"authors":[{"text":"Scholten, G.D.","contributorId":39184,"corporation":false,"usgs":true,"family":"Scholten","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":433905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, P.W.","contributorId":80606,"corporation":false,"usgs":true,"family":"Bettoli","given":"P.W.","affiliations":[],"preferred":false,"id":433906,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031935,"text":"70031935 - 2007 - Geostatistical three-dimensional modeling of oolite shoals, St. Louis Limestone, southwest Kansas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031935","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geostatistical three-dimensional modeling of oolite shoals, St. Louis Limestone, southwest Kansas","docAbstract":"In the Hugoton embayment of southwestern Kansas, reservoirs composed of relatively thin (<4 m; <13.1 ft) oolitic deposits within the St. Louis Limestone have produced more than 300 million bbl of oil. The geometry and distribution of oolitic deposits control the heterogeneity of the reservoirs, resulting in exploration challenges and relatively low recovery. Geostatistical three-dimensional (3-D) models were constructed to quantify the geometry and spatial distribution of oolitic reservoirs, and the continuity of flow units within Big Bow and Sand Arroyo Creek fields. Lithofacies in uncored wells were predicted from digital logs using a neural network. The tilting effect from the Laramide orogeny was removed to construct restored structural surfaces at the time of deposition. Well data and structural maps were integrated to build 3-D models of oolitic reservoirs using stochastic simulations with geometry data. Three-dimensional models provide insights into the distribution, the external and internal geometry of oolitic deposits, and the sedimentologic processes that generated reservoir intervals. The structural highs and general structural trend had a significant impact on the distribution and orientation of the oolitic complexes. The depositional pattern and connectivity analysis suggest an overall aggradation of shallow-marine deposits during pulses of relative sea level rise followed by deepening near the top of the St. Louis Limestone. Cemented oolitic deposits were modeled as barriers and baffles and tend to concentrate at the edge of oolitic complexes. Spatial distribution of porous oolitic deposits controls the internal geometry of rock properties. Integrated geostatistical modeling methods can be applicable to other complex carbonate or siliciclastic reservoirs in shallow-marine settings. Copyright ?? 2007. The American Association of Petroleum Geologists. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Association of Petroleum Geologists Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1306/08090605167","issn":"01491423","usgsCitation":"Qi, L., Carr, T., and Goldstein, R., 2007, Geostatistical three-dimensional modeling of oolite shoals, St. Louis Limestone, southwest Kansas: American Association of Petroleum Geologists Bulletin, v. 91, no. 1, p. 69-96, https://doi.org/10.1306/08090605167.","startPage":"69","endPage":"96","numberOfPages":"28","costCenters":[],"links":[{"id":214992,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1306/08090605167"},{"id":242754,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a28b3e4b0c8380cd5a326","contributors":{"authors":[{"text":"Qi, L.","contributorId":70986,"corporation":false,"usgs":true,"family":"Qi","given":"L.","email":"","affiliations":[],"preferred":false,"id":433789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, T.R.","contributorId":37094,"corporation":false,"usgs":true,"family":"Carr","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":433788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, R.H.","contributorId":18908,"corporation":false,"usgs":true,"family":"Goldstein","given":"R.H.","affiliations":[],"preferred":false,"id":433787,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031932,"text":"70031932 - 2007 - Impact of prescribed fire and other factors on cheatgrass persistence in a Sierra Nevada ponderosa pine forest","interactions":[],"lastModifiedDate":"2023-10-03T11:13:57.860447","indexId":"70031932","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Impact of prescribed fire and other factors on cheatgrass persistence in a Sierra Nevada ponderosa pine forest","docAbstract":"<p>Following the reintroduction of fire Bromus tectorum has invaded the low elevation ponderosa pine forests in parts of Kings Canyon National Park, California. We used prescribed burns, other field manipulations, germination studies, and structural equation modelling, to investigate how fire and other factors affect the persistence of cheatgrass in these forests. Our studies show that altering burning season to coincide with seed maturation is not likely to control cheatgrass because sparse fuel loads generate low fire intensity. Increasing time between prescribed fires may inhibit cheatgrass by increasing surface fuels (both herbaceous and litter), which directly inhibit cheatgrass establishment, and by creating higher intensity fires capable of killing a much greater fraction of the seed bank. Using structural equation modelling, postfire cheatgrass dominance was shown to be most strongly controlled by the prefire cheatgrass seedbank; other factors include soil moisture, fire intensity, soil N, and duration of direct sunlight. Current fire management goals in western conifer forests are focused on restoring historical fire regimes; however, these frequent fire regimes may enhance alien plant invasion in some forest types. Where feasible, fire managers should consider the option of an appropriate compromise between reducing serious fire hazards and exacerbating alien plant invasions.&nbsp;</p>","language":"English","publisher":"CSIRO","doi":"10.1071/WF06052","issn":"10498001","usgsCitation":"Keeley, J., and McGinnis, T., 2007, Impact of prescribed fire and other factors on cheatgrass persistence in a Sierra Nevada ponderosa pine forest: International Journal of Wildland Fire, v. 16, no. 1, p. 96-106, https://doi.org/10.1071/WF06052.","productDescription":"11 p.","startPage":"96","endPage":"106","numberOfPages":"11","costCenters":[],"links":[{"id":242685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a38c4e4b0c8380cd616ad","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":69082,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon E.","affiliations":[],"preferred":false,"id":433781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGinnis, T.W.","contributorId":30949,"corporation":false,"usgs":true,"family":"McGinnis","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":433780,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031902,"text":"70031902 - 2007 - Improving the accuracy of sediment-associated constituent concentrations in whole storm water samples by wet-sieving","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031902","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Improving the accuracy of sediment-associated constituent concentrations in whole storm water samples by wet-sieving","docAbstract":"Sand-sized particles (>63 ??m) in whole storm water samples collected from urban runoff have the potential to produce data with substantial bias and/or poor precision both during sample splitting and laboratory analysis. New techniques were evaluated in an effort to overcome some of the limitations associated with sample splitting and analyzing whole storm water samples containing sand-sized particles. Wet-sieving separates sand-sized particles from a whole storm water sample. Once separated, both the sieved solids and the remaining aqueous (water suspension of particles less than 63 ??m) samples were analyzed for total recoverable metals using a modification of USEPA Method 200.7. The modified version digests the entire sample, rather than an aliquot, of the sample. Using a total recoverable acid digestion on the entire contents of the sieved solid and aqueous samples improved the accuracy of the derived sediment-associated constituent concentrations. Concentration values of sieved solid and aqueous samples can later be summed to determine an event mean concentration. ?? ASA, CSSA, SSSA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2134/jeq2006.0147","issn":"00472425","usgsCitation":"Selbig, W., Bannerman, R., and Bowman, G., 2007, Improving the accuracy of sediment-associated constituent concentrations in whole storm water samples by wet-sieving: Journal of Environmental Quality, v. 36, no. 1, p. 226-232, https://doi.org/10.2134/jeq2006.0147.","startPage":"226","endPage":"232","numberOfPages":"7","costCenters":[],"links":[{"id":214989,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2006.0147"},{"id":242751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a397ee4b0c8380cd61939","contributors":{"authors":[{"text":"Selbig, W.R.","contributorId":102106,"corporation":false,"usgs":true,"family":"Selbig","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":433653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, R.","contributorId":95657,"corporation":false,"usgs":true,"family":"Bannerman","given":"R.","email":"","affiliations":[],"preferred":false,"id":433652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowman, G.","contributorId":49999,"corporation":false,"usgs":true,"family":"Bowman","given":"G.","email":"","affiliations":[],"preferred":false,"id":433651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031901,"text":"70031901 - 2007 - Implications of the 26 December 2004 Sumatra-Andaman earthquake on tsunami forecast and assessment models for great subduction-zone earthquakes","interactions":[],"lastModifiedDate":"2019-08-09T13:08:15","indexId":"70031901","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the 26 December 2004 Sumatra-Andaman earthquake on tsunami forecast and assessment models for great subduction-zone earthquakes","docAbstract":"<p>Results from different tsunami forecasting and hazard assessment models are compared with observed tsunami wave heights from the 26 December 2004 Indian Ocean tsunami. Forecast models are based on initial earthquake information and are used to estimate tsunami wave heights during propagation. An empirical forecast relationship based only on seismic moment provides a close estimate to the observed mean regional and maximum local tsunami runup heights for the 2004 Indian Ocean tsunami but underestimates mean regional tsunami heights at azimuths in line with the tsunami beaming pattern (e.g., Sri Lanka, Thailand). Standard forecast models developed from subfault discretization of earthquake rupture, in which deep- ocean sea level observations are used to constrain slip, are also tested. Forecast models of this type use tsunami time-series measurements at points in the deep ocean. As a proxy for the 2004 Indian Ocean tsunami, a transect of deep-ocean tsunami amplitudes recorded by satellite altimetry is used to constrain slip along four subfaults of the M >9 Sumatra–Andaman earthquake. This proxy model performs well in comparison to observed tsunami wave heights, travel times, and inundation patterns at Banda Aceh. Hypothetical tsunami hazard assessments models based on end- member estimates for average slip and rupture length (M<sub>w</sub> 9.0–9.3) are compared with tsunami observations. Using average slip (low end member) and rupture length (high end member) (M<sub>w</sub> 9.14) consistent with many seismic, geodetic, and tsunami inversions adequately estimates tsunami runup in most regions, except the extreme runup in the western Aceh province. The high slip that occurred in the southern part of the rupture zone linked to runup in this location is a larger fluctuation than expected from standard stochastic slip models. In addition, excess moment release (∼9%) deduced from geodetic studies in comparison to seismic moment estimates may generate additional tsunami energy, if the exponential time constant of slip is less than approximately 1 hr. Overall, there is significant variation in assessed runup heights caused by quantifiable uncertainty in both first-order source parameters (e.g., rupture length, slip-length scaling) and spatiotemporal complexity of earthquake rupture.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120050619","issn":"00371106","usgsCitation":"Geist, E.L., Titov, V.V., Arcas, D., Pollitz, F., and Bilek, S.L., 2007, Implications of the 26 December 2004 Sumatra-Andaman earthquake on tsunami forecast and assessment models for great subduction-zone earthquakes: Bulletin of the Seismological Society of America, v. 97, no. 1A, p. S249-S270, https://doi.org/10.1785/0120050619.","productDescription":"22 p.","startPage":"S249","endPage":"S270","numberOfPages":"22","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":242719,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214957,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120050619"}],"volume":"97","issue":"1A","noUsgsAuthors":false,"publicationDate":"2007-01-01","publicationStatus":"PW","scienceBaseUri":"505a392ce4b0c8380cd6181f","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":433646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titov, Vasily V.","contributorId":67312,"corporation":false,"usgs":true,"family":"Titov","given":"Vasily","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":433649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arcas, Diego","contributorId":6679,"corporation":false,"usgs":true,"family":"Arcas","given":"Diego","email":"","affiliations":[],"preferred":false,"id":433647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollitz, Fred F.","contributorId":54029,"corporation":false,"usgs":true,"family":"Pollitz","given":"Fred F.","affiliations":[],"preferred":false,"id":433648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bilek, Susan L.","contributorId":81706,"corporation":false,"usgs":true,"family":"Bilek","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":433650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031898,"text":"70031898 - 2007 - Conditions for coexistence of freshwater mussel species via partitioning of fish host resources","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70031898","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Conditions for coexistence of freshwater mussel species via partitioning of fish host resources","docAbstract":"Riverine freshwater mussel species can be found in highly diverse communities where many similar species coexist. Mussel species potentially compete for food and space as adults, and for fish host resources during the larval (glochidial) stage. Resource partitioning at the larval stage may promote coexistence. A model of resource utilization was developed for two mussel species and analyzed to determine conditions for coexistence. Mussel species were predicted to coexist when they differed in terms of their success in contacting different fish host species; very similar strategies offered limited possibilities for coexistence. Differences in the mussel species' maximum infestation loads on the fish hosts that coincided with differences in their fish host contact success promoted coexistence. Mussel species with a given set of trade-offs in fish host use were predicted to coexist only for a subset of relative fish host abundances, so a shift in relative fish host abundances could result in the loss of a mussel species. An understanding of the conditions for freshwater mussel species coexistence can help explain high mussel diversity in rivers and guide ongoing conservation activities. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2006.09.009","issn":"03043800","usgsCitation":"Rashleigh, B., and DeAngelis, D., 2007, Conditions for coexistence of freshwater mussel species via partitioning of fish host resources: Ecological Modelling, v. 201, no. 2, p. 171-178, https://doi.org/10.1016/j.ecolmodel.2006.09.009.","startPage":"171","endPage":"178","numberOfPages":"8","costCenters":[],"links":[{"id":214923,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2006.09.009"},{"id":242683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9b5e4b0c8380cd4d73f","contributors":{"authors":[{"text":"Rashleigh, Brenda","contributorId":43990,"corporation":false,"usgs":true,"family":"Rashleigh","given":"Brenda","affiliations":[],"preferred":false,"id":433638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, D.L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":32470,"corporation":false,"usgs":true,"family":"DeAngelis","given":"D.L.","affiliations":[],"preferred":false,"id":433637,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031873,"text":"70031873 - 2007 - A simple scheme to determine potential aquatic metal toxicity from mining wastes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70031873","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A simple scheme to determine potential aquatic metal toxicity from mining wastes","docAbstract":"A decision tree (mining waste decision tree) that uses simple physical and chemical tests has been developed to determine whether effluent from mine waste material poses a potential toxicity threat to the aquatic environment. For the chemical portion of the tree, leaching tests developed by the United States Geological Survey, the Colorado Division of Minerals and Geology (Denver, CO), and a modified 1311 toxicity characteristic leaching procedure (TCLP) test of the United States Environmental Protection Agency have been extensively used as a surrogate for readily available metals that can be released into the environment from mining wastes. To assist in the assessment, element concentration pattern graphs (ECPG) are produced that compare concentrations of selected groups of elements from the three leachates and any water associated with the mining waste. The MWDT makes a distinction between leachates or waters with pH less than or greater than 5. Generally, when the pH values are below 5, the ECPG of the solutions are quite similar, and potential aquatic toxicity from cationic metals, such as Pb, Cu, Zn, Cd, and Al, is assumed. Below pH 5, these metals are mostly dissolved, generally are not complexed with organic or inorganic ligands, and hence are more bioavailable. Furthermore, there is virtually no carbonate alkalinity at pH less than 5. All of these factors promote metal toxicity to aquatic organisms. On the other hand, when the pH value of the water or the leachates is above 5, the ECPG from the solutions are variable, and inferred aquatic toxicity depends on factors in addition to the metals released from the leaching tests. Hence, leachates and waters with pH above 5 warrant further examination of their chemical composition. Physical ranking criteria provide additional information, particularly in areas where waste piles exhibit similar chemical rankings. Rankings from physical and chemical criteria generally are not correlated. Examples of how this decision tree has been applied in assessing mine sites are discussed. Copyright ?? Taylor & Francis Group, LLC.","largerWorkTitle":"Environmental Forensics","language":"English","doi":"10.1080/15275920601180651","issn":"15275922","usgsCitation":"Wildeman, T., Smith, K., and Ranville, J., 2007, A simple scheme to determine potential aquatic metal toxicity from mining wastes, <i>in</i> Environmental Forensics, v. 8, no. 1-2, p. 119-128, https://doi.org/10.1080/15275920601180651.","startPage":"119","endPage":"128","numberOfPages":"10","costCenters":[],"links":[{"id":214579,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15275920601180651"},{"id":242315,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e591e4b0c8380cd46e2e","contributors":{"authors":[{"text":"Wildeman, T.R.","contributorId":30248,"corporation":false,"usgs":true,"family":"Wildeman","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":433528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, K. S. 0000-0001-8547-9804","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":47779,"corporation":false,"usgs":true,"family":"Smith","given":"K. S.","affiliations":[],"preferred":false,"id":433529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ranville, J. F.","contributorId":54245,"corporation":false,"usgs":true,"family":"Ranville","given":"J. F.","affiliations":[],"preferred":false,"id":433530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035565,"text":"70035565 - 2007 - Integrated geologic and geophysical studies of North American continental intraplate seismicity","interactions":[],"lastModifiedDate":"2020-04-28T15:00:53.375795","indexId":"70035565","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geologic and geophysical studies of North American continental intraplate seismicity","docAbstract":"<div class=\"category-section clearfix content-section \"><p>The origin of earthquakes within stable continental regions has been the subject of debate over the past thirty years. Here, we examine the correlation of North American stable continental region earthquakes using five geologic and geophysical data sets: (1) a newly compiled age-province map; (2) Bouguer gravity data; (3) aeromagnetic anomalies; (4) the tectonic stress field; and (5) crustal structure as revealed by deep seismic-reflection profiles. We find that: (1) Archean-age (3.8–2.5 Ga) North American crust is essentially aseismic, whereas post-Archean (less than 2.5 Ga) crust shows no clear correlation of crustal age and earthquake frequency or moment release; (2) seismicity is correlated with continental paleorifts; and (3) seismicity is correlated with the NE-SW structural grain of the crust of eastern North America, which in turn reflects the opening and closing of the proto– and modern Atlantic Ocean. This structural grain can be discerned as clear NE-SW lineaments in the Bouguer gravity and aeromagnetic anomaly maps. Stable continental region seismicity either: (1) follows the NE-SW lineaments; (2) is aligned at right angles to these lineaments; or (3) forms clusters at what have been termed stress concentrators (e.g., igneous intrusions and intersecting faults). Seismicity levels are very low to the west of the Grenville Front (i.e., in the Archean Superior craton). The correlation of seismicity with NE-SW–oriented lineaments implies that some stable continental region seismicity is related to the accretion and rifting processes that have formed the North American continental crust during the past 2 b.y. We further evaluate this hypothesis by correlating stable continental region seismicity with recently obtained deep seismicreflection images of the Appalachian and Grenville crust of southern Canada. These images show numerous faults that penetrate deep (40 km) into the crust. An analysis of hypocentral depths for stable continental region earthquakes shows that the frequency and moment magnitude of events are nearly uniform for the entire 0–35 km depths over which crustal earthquakes extend. This is in contradiction with the hypothesis that larger events have deeper focal depths. We conclude that the deep structure of the crust, in particular the existence of deeply penetrating faults, is the controlling parameter, rather than lateral variations in temperature, rheology, or high pore pressure. The distribution of stable continental region earthquakes in eastern North America is consistent with the existence of deeply penetrating crustal faults that have been reactivated in the present stress field. We infer that future earthquakes may occur anywhere along the geophysical lineations that we have identified. This implies that seismic hazard is more widespread in central and eastern North America than indicated by the limited known historical distribution of seismicity.</p></div>","largerWorkTitle":"","language":"English","publisher":"Geological Society of America","doi":"10.1130/2007.2425(08)","issn":"00721077","usgsCitation":"Van Lanen, X., and Mooney, W.D., 2007, Integrated geologic and geophysical studies of North American continental intraplate seismicity: Special Paper of the Geological Society of America, v. 425, no. , p. 101-112, https://doi.org/10.1130/2007.2425(08).","productDescription":"12 p.","startPage":"101","endPage":"112","numberOfPages":"12","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":244067,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"425","issue":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c61e4b0c8380cd62cb7","contributors":{"authors":[{"text":"Van Lanen, X.","contributorId":12290,"corporation":false,"usgs":true,"family":"Van Lanen","given":"X.","email":"","affiliations":[],"preferred":false,"id":451265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":451266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031146,"text":"70031146 - 2007 - Economic decision making and the application of nonparametric prediction models","interactions":[],"lastModifiedDate":"2018-07-31T10:43:26","indexId":"70031146","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Economic decision making and the application of nonparametric prediction models","docAbstract":"Sustained increases in energy prices have focused attention on gas resources in low permeability shale or in coals that were previously considered economically marginal. Daily well deliverability is often relatively small, although the estimates of the total volumes of recoverable resources in these settings are large. Planning and development decisions for extraction of such resources must be area-wide because profitable extraction requires optimization of scale economies to minimize costs and reduce risk. For an individual firm the decision to enter such plays depends on reconnaissance level estimates of regional recoverable resources and on cost estimates to develop untested areas. This paper shows how simple nonparametric local regression models, used to predict technically recoverable resources at untested sites, can be combined with economic models to compute regional scale cost functions. The context of the worked example is the Devonian Antrim shale gas play, Michigan Basin. One finding relates to selection of the resource prediction model to be used with economic models. Models which can best predict aggregate volume over larger areas (many hundreds of sites) may lose granularity in the distribution of predicted volumes at individual sites. This loss of detail affects the representation of economic cost functions and may affect economic decisions. Second, because some analysts consider unconventional resources to be ubiquitous, the selection and order of specific drilling sites may, in practice, be determined by extraneous factors. The paper also shows that when these simple prediction models are used to strategically order drilling prospects, the gain in gas volume over volumes associated with simple random site selection amounts to 15 to 20 percent. It also discusses why the observed benefit of updating predictions from results of new drilling, as opposed to following static predictions, is somewhat smaller. Copyright 2007, Society of Petroleum Engineers.","largerWorkTitle":"SPE Hydrocarbon Economics and Evaluation Symposium","conferenceTitle":"SPE Hydrocarbon Economics and Evaluation Symposium, HEES 2007 - Unconventional Economics","conferenceDate":"1 April 2007 through 3 April 2007","conferenceLocation":"Dallas, TX","language":"English","usgsCitation":"Attanasi, E.D., Coburn, T.C., and Freeman, P., 2007, Economic decision making and the application of nonparametric prediction models, <i>in</i> SPE Hydrocarbon Economics and Evaluation Symposium, Dallas, TX, 1 April 2007 through 3 April 2007, p. 73-82.","productDescription":"10 p.","startPage":"73","endPage":"82","costCenters":[],"links":[{"id":238913,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0580e4b0c8380cd50e10","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":193092,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":430246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coburn, Timothy C.","contributorId":26011,"corporation":false,"usgs":true,"family":"Coburn","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":430245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":430244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031872,"text":"70031872 - 2007 - Effects of wastewater disinfection on waterborne bacteria and viruses","interactions":[],"lastModifiedDate":"2014-08-20T14:49:49","indexId":"70031872","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3711,"text":"Water Environment Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of wastewater disinfection on waterborne bacteria and viruses","docAbstract":"<p>Wastewater disinfection is practiced with the goal of reducing risks of human exposure to pathogenic microorganisms. In most circumstances, the efficacy of a wastewater disinfection process is regulated and monitored based on measurements of the responses of indicator bacteria. However, inactivation of indicator bacteria does not guarantee an acceptable degree of inactivation among other waterborne microorganisms (e.g., microbial pathogens).</p>\n<br>\n<p>Undisinfected effluent samples from several municipal wastewater treatment facilities were collected for analysis. Facilities were selected to provide a broad spectrum of effluent quality, particularly as related to nitrogenous compounds. Samples were subjected to bench-scale chlorination and dechlorination and UV irradiation under conditions that allowed compliance with relevant discharge regulations and such that disinfectant exposures could be accurately quantified. Disinfected samples were subjected to a battery of assays to assess the immediate and long-term effects of wastewater disinfection on waterborne bacteria and viruses.</p>\n<br>\n<p>In general, (viable) bacterial populations showed an immediate decline as a result of disinfectant exposure; however, incubation of disinfected samples under conditions that were designed to mimic the conditions in a receiving stream resulted in substantial recovery of the total bacterial community. The bacterial groups that are commonly used as indicators do not provide an accurate representation of the response of the bacterial community to disinfectant exposure and subsequent recovery in the environment. UV irradiation and chlorination/dechlorination both accomplished measurable inactivation of indigenous phage; however, the extent of inactivation was fairly modest under the conditions of disinfection used in this study. UV irradiation was consistently more effective as a virucide than chlorination/dechlorination under the conditions of application, based on measurements of virus (phage) diversity and concentration.</p>\n<br>\n<p>Taken together, and when considered in conjunction with previously published research, the results of these experiments illustrate several important limitations of common disinfection processes as applied in the treatment of municipal wastewaters. In general, it is not clear that conventional disinfection processes, as commonly implemented, are effective for control of the risks of disease transmission, particularly those associated with viral pathogens. Microbial quality in receiving streams may not be substantially improved by the application of these disinfection processes; under some circumstances, an argument can be made that disinfection may actually yield a decrease in effluent and receiving water quality. Decisions regarding the need for effluent disinfection must account for site-specific characteristics, but it is not clear that disinfection of municipal wastewater effluents is necessary or beneficial for all facilities. When direct human contact or ingestion of municipal wastewater effluents is likely, disinfection may be necessary. Under these circumstances, UV irradiation appears to be superior to chlorination in terms of microbial quality and chemistry and toxicology. This advantage is particularly evident in effluents that contain appreciable quantities of ammonia-nitrogen or organic nitrogen.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Environment Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Water Environment Federation","doi":"10.2175/106143006X102024","issn":"10614303","usgsCitation":"Blatchley, E.R., Gong, W., Alleman, J., Rose, J., Huffman, D., Otaki, M., and Lisle, J., 2007, Effects of wastewater disinfection on waterborne bacteria and viruses: Water Environment Research, v. 79, no. 1, p. 81-92, https://doi.org/10.2175/106143006X102024.","productDescription":"12 p.","startPage":"81","endPage":"92","numberOfPages":"12","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":215079,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2175/106143006X102024"},{"id":242851,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0834e4b0c8380cd51a07","contributors":{"authors":[{"text":"Blatchley, E. R. III","contributorId":77759,"corporation":false,"usgs":true,"family":"Blatchley","given":"E.","suffix":"III","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":433526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gong, W.-L.","contributorId":62424,"corporation":false,"usgs":true,"family":"Gong","given":"W.-L.","email":"","affiliations":[],"preferred":false,"id":433525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alleman, J.E.","contributorId":103824,"corporation":false,"usgs":true,"family":"Alleman","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":433527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, J.B.","contributorId":60825,"corporation":false,"usgs":true,"family":"Rose","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":433524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huffman, D.E.","contributorId":34309,"corporation":false,"usgs":true,"family":"Huffman","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":433523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Otaki, M.","contributorId":14212,"corporation":false,"usgs":true,"family":"Otaki","given":"M.","email":"","affiliations":[],"preferred":false,"id":433521,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lisle, J.T. 0000-0002-5447-2092","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":16965,"corporation":false,"usgs":true,"family":"Lisle","given":"J.T.","affiliations":[],"preferred":false,"id":433522,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}