{"pageNumber":"716","pageRowStart":"17875","pageSize":"25","recordCount":40783,"records":[{"id":70118375,"text":"70118375 - 2012 - Competition favors elk over beaver in a riparian willow ecosystem","interactions":[],"lastModifiedDate":"2020-12-29T19:55:51.154407","indexId":"70118375","displayToPublicDate":"2012-01-01T15:43:34","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Competition favors elk over beaver in a riparian willow ecosystem","docAbstract":"<div class=\"nova-e-text nova-e-text--size-m nova-e-text--family-sans-serif nova-e-text--spacing-none nova-e-text--color-grey-800 research-detail-middle-section__abstract\">Beaver (Castor spp.) conservation requires an understanding of their complex interactions with competing herbivores. Simulation modeling offers a controlled environment to examine long-term dynamics in ecosystems driven by uncontrollable variables. We used a new version of the SAVANNA ecosystem model to investigate beaver (C. canadensis) and elk (Cervus elaphus) competition for willow (Salix spp.). We initialized the model with field data from Rocky Mountain National Park, Colorado, USA, to simulate a 4-ha riparian ecosystem containing beaver, elk, and willow. We found beaver persisted indefinitely when elk density was &lt;= 20 elk km (2). Beaver persistence decreased exponentially as elk density increased from 30 to 60 elk km(2), which suggests the presence of an ecological threshold. The interaction of beaver and elk herbivory shifted the size distribution of willow plants from tall to short when elk densities were &gt;= 30 elk km (2). The loss of tall willow preceded rapid beaver declines, thus willow condition may predict beaver population trajectory in natural environments. Beaver were able to persist with slightly higher elk densities if beaver alternated their use of foraging sites in a rest-rotation pattern rather than maintained continuous use. Thus, we found asymmetrical competition for willow strongly favored elk over beaver in a simulated montane ecosystem. Finally, we discuss application of the SAVANNA model and mechanisms of competition relative to beaver persistence as metapopulations, ecological resistance and alternative state models, and ecosystem regulation.</div>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES12-00058.1","usgsCitation":"Baker, B., Peinetti, H., Coughenour, M., and Johnson, T.L., 2012, Competition favors elk over beaver in a riparian willow ecosystem: Ecosphere, v. 3, no. 11, p. 1-15, https://doi.org/10.1890/ES12-00058.1.","productDescription":"15 p.","startPage":"1","endPage":"15","costCenters":[],"links":[{"id":488978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es12-00058.1","text":"Publisher Index Page"},{"id":381738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-11-07","publicationStatus":"PW","scienceBaseUri":"57f7f546e4b0bc0bec0a1543","contributors":{"authors":[{"text":"Baker, B.W.","contributorId":18707,"corporation":false,"usgs":true,"family":"Baker","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":496855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peinetti, H.R.","contributorId":38115,"corporation":false,"usgs":true,"family":"Peinetti","given":"H.R.","email":"","affiliations":[],"preferred":false,"id":496856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coughenour, M.C.","contributorId":71900,"corporation":false,"usgs":true,"family":"Coughenour","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":496857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, T. L.","contributorId":91062,"corporation":false,"usgs":true,"family":"Johnson","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":496858,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040351,"text":"70040351 - 2012 - Restoration of movement patterns of the Hawaiian Goose","interactions":[],"lastModifiedDate":"2012-10-16T17:16:16","indexId":"70040351","displayToPublicDate":"2012-01-01T15:11:22","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of movement patterns of the Hawaiian Goose","docAbstract":"We used visual observations of banded individuals and satellite telemetry from 2007 to 2011 on Hawai&prime;i Island to document movement patterns of the Hawaiian Goose (Branta sandvicensis), commonly known as Nene. Visual observations of numbered leg bands identified &gt;19% and &le;10% of 323 geese at one of two breeding sites and one of two distant non-breeding areas during 2007-2011. We used satellite telemetry to document movement patterns of 10 male Nene from 2009 to 2011, and log-linear models to quantify the magnitude and individual differences in altitudinal migration. Two subpopulations of Nene moved 974.4 m (95% CI &plusmn; 22.0) and 226.4 m (95% CI &plusmn; 40.7) in elevation between seasons on average, from high-elevation shrublands during the non-breeding season of May-August, to lower-elevation breeding and molting areas in September-April. Traditional movement patterns were thought to be lost until recently, but the movement pattern we documented with satellite telemetry was similar to altitudinal migration described by early naturalists in Hawai&prime;i prior to the severe population decline of Nene in the 20th century.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wilson Ornithological Society","publisherLocation":"Waco, Texas","doi":"10.1676/12-005.1","usgsCitation":"Hess, S., Leopold, C.R., Misajon, K., Hu, D., and Jeffrey, J.J., 2012, Restoration of movement patterns of the Hawaiian Goose: Wilson Journal of Ornithology, v. 124, no. 3, p. 478-486, https://doi.org/10.1676/12-005.1.","productDescription":"8 p.","startPage":"478","endPage":"486","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":262633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262632,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/12-005.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hawai ′I Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.062,18.9108 ], [ -156.062,20.2686 ], [ -154.8065,20.2686 ], [ -154.8065,18.9108 ], [ -156.062,18.9108 ] ] ] } } ] }","volume":"124","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4ad70e4b0e8fec6cdd394","contributors":{"authors":[{"text":"Hess, Steven C.","contributorId":74462,"corporation":false,"usgs":true,"family":"Hess","given":"Steven C.","affiliations":[],"preferred":false,"id":468141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Misajon, Kathleen","contributorId":48016,"corporation":false,"usgs":true,"family":"Misajon","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":468139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Darcy","contributorId":91734,"corporation":false,"usgs":true,"family":"Hu","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":468142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jeffrey, John J.","contributorId":55256,"corporation":false,"usgs":true,"family":"Jeffrey","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468140,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124943,"text":"70124943 - 2012 - Trajectory of early tidal marsh restoration: elevation, sedimentation and colonization of breached salt ponds in the northern San Francisco Bay","interactions":[],"lastModifiedDate":"2018-11-19T08:39:59","indexId":"70124943","displayToPublicDate":"2012-01-01T15:10:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Trajectory of early tidal marsh restoration: elevation, sedimentation and colonization of breached salt ponds in the northern San Francisco Bay","docAbstract":"Tidal marsh restoration projects that cover large areas are critical for maintaining target species, yet few large sites have been studied and their restoration trajectories remain uncertain. A tidal marsh restoration project in the northern San Francisco Bay consisting of three breached salt ponds (≥300 ha each; 1175 ha total) is one of the largest on the west coast of North America. These diked sites were subsided and required extensive sedimentation for vegetation colonization, yet it was unclear whether they would accrete sediment and vegetate within a reasonable timeframe. We conducted bathymetric surveys to map substrate elevations using digital elevation models and surveyed colonizing Pacific cordgrass (<i>Spartina foliosa</i>). The average elevation of Pond 3 was 0.96 ± 0.19 m (mean ± SD; meters NAVD88) in 2005. In 2008–2009, average pond elevations were 1.05 ± 0.25 m in Pond 3, 0.81 ± 0.26 m in Pond 4, and 0.84 ± 0.24 m in Pond 5 (means ± SD; meters NAVD88). The largest site (Pond 3; 508 ha) accreted 9.5 ± 0.2 cm (mean ± SD) over 4 years, but accretion varied spatially and ranged from sediment loss in borrow ditches and adjacent to an unplanned, early breach to sediment gains up to 33 cm in more sheltered regions. The mean elevation of colonizing <i>S. foliosa</i> varied by pond (F = 71.20, df = 84, P < 0.0001) and was significantly lower in Ponds 4 and 5 compared with Pond 3 which corresponded with greater tidal muting in those ponds. We estimated 16% of Pond 3, 13% of Pond 4, and 24% of Pond 5 were greater than or equal to the median elevation of <i>S. foliosa</i>. Our results suggest that sedimentation to elevations that enable vegetation colonization is feasible in large sites with sufficient sediment loads although may occur more slowly compared with smaller sites.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2012.01.012","usgsCitation":"Brand, L.A., Smith, L.M., Takekawa, J.Y., Athearn, N.D., Taylor, K., Shellenbarger, G., Schoellhamer, D., and Spenst, R., 2012, Trajectory of early tidal marsh restoration: elevation, sedimentation and colonization of breached salt ponds in the northern San Francisco Bay: Ecological Engineering, v. 42, p. 19-29, https://doi.org/10.1016/j.ecoleng.2012.01.012.","productDescription":"11 p.","startPage":"19","endPage":"29","numberOfPages":"11","ipdsId":"IP-027050","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Napa-sonoma Marshes Wildlife Area;San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5228,38.117 ], [ -122.5228,38.5148 ], [ -122.0369,38.5148 ], [ -122.0369,38.117 ], [ -122.5228,38.117 ] ] ] } } ] }","volume":"42","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b2ce4b082fed288b9b4","contributors":{"authors":[{"text":"Brand, L. Arriana arriana_brand@usgs.gov","contributorId":4406,"corporation":false,"usgs":true,"family":"Brand","given":"L.","email":"arriana_brand@usgs.gov","middleInitial":"Arriana","affiliations":[],"preferred":true,"id":501032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Athearn, Nicole D.","contributorId":71273,"corporation":false,"usgs":true,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":501034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Karen","contributorId":84671,"corporation":false,"usgs":true,"family":"Taylor","given":"Karen","email":"","affiliations":[],"preferred":false,"id":501035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":501030,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":501029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spenst, Renee","contributorId":97435,"corporation":false,"usgs":true,"family":"Spenst","given":"Renee","email":"","affiliations":[],"preferred":false,"id":501036,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70118102,"text":"70118102 - 2012 - User Manual for SAHM package for VisTrails","interactions":[],"lastModifiedDate":"2014-07-25T15:05:44","indexId":"70118102","displayToPublicDate":"2012-01-01T15:04:16","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"User Manual for SAHM package for VisTrails","docAbstract":"<p>The Software for Assisted Habitat I\\•1odeling (SAHM) has been created to both expedite habitat modeling and help maintain a record of the various input data, pre-and post-processing steps and modeling options incorporated in the construction of a species distribution model. The four main advantages to using the combined VisTrail: SAHM package for species distribution modeling are:</p>\n<br/>\n<p>1. formalization and tractable recording of the entire modeling process</p>\n<br/>\n<p>2. easier collaboration through a common modeling framework</p>\n<br/>\n<p>3. a user-friendly graphical interface to manage file input, model runs, and output</p>\n<br/>\n<p>4. extensibility to incorporate future and additional modeling routines and tools.</p>\n<br/>\n<p>This user manual provides detailed information on each module within the SAHM package, their input, output, common connections, optional arguments, and default settings. This information can also be accessed for individual modules by right clicking on the documentation button for any module in VisTrail or by right clicking on any input or output for a module and selecting view documentation. This user manual is intended to accompany the user guide which provides detailed instructions on how to install the SAHM package within VisTrails and then presents information on the use of the package.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Talbert, C., and Talbert, M., 2012, User Manual for SAHM package for VisTrails, 72 p.","productDescription":"72 p.","numberOfPages":"72","costCenters":[],"links":[{"id":291034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f546e4b0bc0bec0a1549","contributors":{"authors":[{"text":"Talbert, C.B.","contributorId":107212,"corporation":false,"usgs":true,"family":"Talbert","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":496309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbert, M.K.","contributorId":28912,"corporation":false,"usgs":true,"family":"Talbert","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":496308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048760,"text":"70048760 - 2012 - The spatial scale for cisco recruitment dynamics in Lake Superior during 1978-2007","interactions":[],"lastModifiedDate":"2018-03-27T14:11:55","indexId":"70048760","displayToPublicDate":"2012-01-01T15:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"The spatial scale for cisco recruitment dynamics in Lake Superior during 1978-2007","docAbstract":"<p><span>The cisco&nbsp;</span><i>Coregonus artedi</i><span><span>&nbsp;</span>was once the most abundant fish species in the Great Lakes, but currently cisco populations are greatly reduced and management agencies are attempting to restore the species throughout the basin. To increase understanding of the spatial scale at which density‐independent and density‐dependent factors influence cisco recruitment dynamics in the Great Lakes, we used a Ricker stock–recruitment model to identify and quantify the appropriate spatial scale for modeling age‐1 cisco recruitment dynamics in Lake Superior. We found that the recruitment variation of ciscoes in Lake Superior was best described by a five‐parameter regional model with separate stock–recruitment relationships for the western, southern, eastern, and northern regions. The spatial scale for modeling was about 260 km (range = 230–290 km). We also found that the density‐independent recruitment rate and the rate of compensatory density dependence varied among regions at different rates. The density‐independent recruitment rate was constant among regions (3.6 age‐1 recruits/spawner), whereas the rate of compensatory density dependence varied 16‐fold among regions (range = −0.2 to −2.9/spawner). Finally, we found that peak recruitment and the spawning stock size that produced peak recruitment varied among regions. Both peak recruitment (0.5–7.1 age‐1 recruits/ha) and the spawning stock size that produced peak recruitment (0.3–5.3 spawners/ha) varied 16‐fold among regions. Our findings support the hypothesis that the factors driving cisco recruitment operate within four different regions of Lake Superior, suggest that large‐scale abiotic factors are more important than small‐scale biotic factors in influencing cisco recruitment, and suggest that fishery managers throughout Lake Superior and the entire Great Lakes basin should address cisco restoration and management efforts on a regional scale in each lake.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2012.680005","usgsCitation":"Rook, B., Hansen, M.J., and Gorman, O.T., 2012, The spatial scale for cisco recruitment dynamics in Lake Superior during 1978-2007: North American Journal of Fisheries Management, v. 32, no. 3, p. 499-514, https://doi.org/10.1080/02755947.2012.680005.","productDescription":"16 p.","startPage":"499","endPage":"514","temporalStart":"1978-01-01","temporalEnd":"2007-12-01","ipdsId":"IP-050710","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.1122,46.41 ], [ -92.1122,49.0195 ], [ -84.3544,49.0195 ], [ -84.3544,46.41 ], [ -92.1122,46.41 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"5274cd82e4b089748f072459","contributors":{"authors":[{"text":"Rook, Benjamin J.","contributorId":34816,"corporation":false,"usgs":true,"family":"Rook","given":"Benjamin J.","affiliations":[],"preferred":false,"id":485582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70124464,"text":"70124464 - 2012 - The effect of size and competition on tree growth rate in old-growth coniferous forests","interactions":[],"lastModifiedDate":"2017-02-13T14:29:42","indexId":"70124464","displayToPublicDate":"2012-01-01T14:52:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"The effect of size and competition on tree growth rate in old-growth coniferous forests","docAbstract":"Tree growth and competition play central roles in forest dynamics. Yet models of competition often neglect important variation in species-specific responses. Furthermore, functions used to model changes in growth rate with size do not always allow for potential complexity. Using a large data set from old-growth forests in California, models were parameterized relating growth rate to tree size and competition for four common species. Several functions relating growth rate to size were tested. Competition models included parameters for tree size, competitor size, and competitor distance. Competitive strength was allowed to vary by species. The best ranked models (using Akaike’s information criterion) explained between 18% and 40% of the variance in growth rate, with each species showing a strong response to competition. Models indicated that relationships between competition and growth varied substantially among species. The results also suggested that the relationship between growth rate and tree size can be complex and that how we model it can affect not only our ability to detect that complexity but also whether we obtain misleading results. In this case, for three of four species, the best model captured an apparent and unexpected decline in potential growth rate for the smallest trees in the data set.","largerWorkTitle":"Canadian Journal of Forest Research","language":"English","publisher":"NRC Research Press","doi":"10.1139/x2012-142","usgsCitation":"Das, A., 2012, The effect of size and competition on tree growth rate in old-growth coniferous forests: Canadian Journal of Forest Research, v. 42, no. 11, p. 1983-1995, https://doi.org/10.1139/x2012-142.","productDescription":"13 p.","startPage":"1983","endPage":"1995","numberOfPages":"13","ipdsId":"IP-037929","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":293845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293775,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/x2012-142"}],"volume":"42","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b2ae4b082fed288b993","contributors":{"authors":[{"text":"Das, Adrian","contributorId":73935,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","affiliations":[],"preferred":false,"id":500836,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70118345,"text":"70118345 - 2012 - Impact assessment of extreme storm events using a Bayesian network","interactions":[],"lastModifiedDate":"2017-06-30T15:24:21","indexId":"70118345","displayToPublicDate":"2012-01-01T14:23:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Impact assessment of extreme storm events using a Bayesian network","docAbstract":"This paper describes an investigation on the usefulness of Bayesian Networks in the safety assessment of dune coasts. A network has been created that predicts the erosion volume based on hydraulic boundary conditions and a number of cross-shore profile indicators. Field measurement data along a large part of the Dutch coast has been used to train the network. Corresponding storm impact on the dunes was calculated with an empirical dune erosion model named duros+. Comparison between the Bayesian Network predictions and the original duros+ results, here considered as observations, results in a skill up to 0.88, provided that the training data covers the range of predictions. Hence, the predictions from a deterministic model (duros+) can be captured in a probabilistic model (Bayesian Network) such that both the process knowledge and uncertainties can be included in impact and vulnerability assessments.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Engineering 2012: Proceedings of the 33rd International Conference on Coastal Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"33rd International Conference on Coastal Engineering","conferenceLocation":"Santander, Spain","language":"English","publisher":"Coastal Engineering Research Council","doi":"10.9753/icce.v33.management.4","usgsCitation":"den Heijer, C., Knipping, D.T., Plant, N.G., van Thiel de Vries, J.S., Baart, F., and van Gelder, P.H., 2012, Impact assessment of extreme storm events using a Bayesian network, <i>in</i> Coastal Engineering 2012: Proceedings of the 33rd International Conference on Coastal Engineering, no. 33, Santander, Spain, 15 p., https://doi.org/10.9753/icce.v33.management.4.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-041009","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.9753/icce.v33.management.4","text":"Publisher Index Page"},{"id":294554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294553,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.9753/icce.v33.management.4"}],"issue":"33","noUsgsAuthors":false,"publicationDate":"2012-10-25","publicationStatus":"PW","scienceBaseUri":"54252eb8e4b0e641df8a7032","contributors":{"authors":[{"text":"den Heijer, C.","contributorId":52904,"corporation":false,"usgs":true,"family":"den Heijer","given":"C.","email":"","affiliations":[],"preferred":false,"id":496794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knipping, Dirk T.J.A.","contributorId":92598,"corporation":false,"usgs":true,"family":"Knipping","given":"Dirk","email":"","middleInitial":"T.J.A.","affiliations":[],"preferred":false,"id":496795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Thiel de Vries, Jaap S. M.","contributorId":43693,"corporation":false,"usgs":true,"family":"van Thiel de Vries","given":"Jaap","email":"","middleInitial":"S. M.","affiliations":[],"preferred":false,"id":496793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baart, Fedor","contributorId":97835,"corporation":false,"usgs":true,"family":"Baart","given":"Fedor","email":"","affiliations":[],"preferred":false,"id":496796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Gelder, Pieter H. A. J. M.","contributorId":38917,"corporation":false,"usgs":true,"family":"van Gelder","given":"Pieter","email":"","middleInitial":"H. A. J. M.","affiliations":[],"preferred":false,"id":496792,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048044,"text":"70048044 - 2012 - Response of the North American monsoon to regional changes in ocean surface temperature","interactions":[],"lastModifiedDate":"2013-09-06T14:20:57","indexId":"70048044","displayToPublicDate":"2012-01-01T14:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Response of the North American monsoon to regional changes in ocean surface temperature","docAbstract":"The North American monsoon (NAM), an onshore wind shift occurring between July and September, has evolved in character during the Holocene largely due to changes in Northern Hemisphere insolation. Published paleoproxy and modeling studies suggest that prior to ∼8000 cal years BP, the NAM affected a broader region than today, extending westward into the Mojave Desert of California. Holocene proxy SST records from the Gulf of California (GoC) and the adjacent Pacific provide constraints for this changing NAM climatology. Prior to ∼8000 cal years BP, lower GoC SSTs would not have fueled northward surges of tropical moisture up the GoC, which presently contribute most of the monsoon precipitation to the western NAM region. During the early Holocene, the North Pacific High was further north and SSTs in the California Current off Baja California were warmer, allowing monsoonal moisture flow from the subtropical Pacific to take a more direct, northwesterly trajectory into an expanded area of the southwestern U.S. west of 114°W. A new upwelling record off southwest Baja California reveals that enhanced upwelling in the California Current beginning at ∼7500 cal year BP may have triggered a change in NAM climatology, focusing the geographic expression of NAM in the southwest USA into its modern core region east of ∼114°W, in Arizona and New Mexico. Holocene proxy precipitation records from the southwestern U.S. and northwestern Mexico, including lakes, vegetation/pollen, and caves are reviewed and found to be largely supportive of this hypothesis of changing Holocene NAM climatology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Paleoceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011PA002235","usgsCitation":"Barron, J.A., Metcalfe, S.E., and Addison, J.A., 2012, Response of the North American monsoon to regional changes in ocean surface temperature: Paleoceanography, v. 27, no. 3, 17 p., https://doi.org/10.1029/2011PA002235.","productDescription":"17 p.","numberOfPages":"17","ipdsId":"IP-020653","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011pa002235","text":"Publisher Index Page"},{"id":277405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277388,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011PA002235"}],"country":"Mexico;United States","state":"Arizona;Colorado;New Mexico;Texas;Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,20.0 ], [ -120.0,40.0 ], [ -100.0,40.0 ], [ -100.0,20.0 ], [ -120.0,20.0 ] ] ] } } ] }","volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-07-25","publicationStatus":"PW","scienceBaseUri":"522af96de4b08fd0132e7a09","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metcalfe, Sarah E.","contributorId":103555,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":483658,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046826,"text":"70046826 - 2012 - Tracking lava flow emplacement on the east rift zone of Kilauea, Hawai’i with synthetic aperture radar (SAR) coherence","interactions":[],"lastModifiedDate":"2019-05-30T12:03:27","indexId":"70046826","displayToPublicDate":"2012-01-01T13:57:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Tracking lava flow emplacement on the east rift zone of Kilauea, Hawai’i with synthetic aperture radar (SAR) coherence","docAbstract":"Lava flow mapping is both an essential component of volcano monitoring and a valuable tool for investigating lava flow behavior. Although maps are traditionally created through field surveys, remote sensing allows an extraordinary view of active lava flows while avoiding the difficulties of mapping on location. Synthetic aperture radar (SAR) imagery, in particular, can detect changes in a flow field by comparing two images collected at different times with SAR coherence. New lava flows radically alter the scattering properties of the surface, making the radar signal decorrelated in SAR coherence images. We describe a new technique, SAR Coherence Mapping (SCM), to map lava flows automatically from coherence images independent of look angle or satellite path. We use this approach to map lava flow emplacement during the Pu‘u ‘Ō‘ō-Kupaianaha eruption at Kīlauea, Hawai‘i. The resulting flow maps correspond well with field mapping and better resolve the internal structure of surface flows, as well as the locations of active flow paths. However, the SCM technique is only moderately successful at mapping flows that enter vegetation, which is also often decorrelated between successive SAR images. Along with measurements of planform morphology, we are able to show that the length of time a flow stays decorrelated after initial emplacement is linearly related to the flow thickness. Finally, we use interferograms obtained after flow surfaces become correlated to show that persistent decorrelation is caused by post-emplacement flow subsidence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU and the Geochemical Society","doi":"10.1029/2011GC004016","usgsCitation":"Dietterich, H.R., Poland, M., Schmidt, D., Cashman, K., Sherrod, D.R., and Espinosa, A., 2012, Tracking lava flow emplacement on the east rift zone of Kilauea, Hawai’i with synthetic aperture radar (SAR) coherence: Geochemistry, Geophysics, Geosystems, v. 13, no. 5, 17 p., https://doi.org/10.1029/2011GC004016.","productDescription":"17 p.","ipdsId":"IP-035895","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":474600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gc004016","text":"Publisher Index Page"},{"id":274781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274780,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GC004016"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.062,18.9108 ], [ -156.062,20.2686 ], [ -154.8065,20.2686 ], [ -154.8065,18.9108 ], [ -156.062,18.9108 ] ] ] } } ] }","volume":"13","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30efe4b0f72b44719ccc","contributors":{"authors":[{"text":"Dietterich, Hannah R.","contributorId":11920,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":480388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, David","contributorId":7596,"corporation":false,"usgs":true,"family":"Schmidt","given":"David","affiliations":[],"preferred":false,"id":480384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cashman, Katharine V.","contributorId":40097,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine V.","affiliations":[],"preferred":false,"id":480386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480383,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Espinosa, Arkin Tapia","contributorId":64977,"corporation":false,"usgs":true,"family":"Espinosa","given":"Arkin Tapia","affiliations":[],"preferred":false,"id":480387,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047380,"text":"70047380 - 2012 - Selection of the Mars Science Laboratory landing site","interactions":[],"lastModifiedDate":"2020-10-02T13:53:57.069907","indexId":"70047380","displayToPublicDate":"2012-01-01T13:52:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Selection of the Mars Science Laboratory landing site","docAbstract":"The selection of Gale crater as the Mars Science Laboratory landing site took over five years, involved broad participation of the science community via five open workshops, and narrowed an initial >50 sites (25 by 20 km) to four finalists (Eberswalde, Gale, Holden and Mawrth) based on science and safety. Engineering constraints important to the selection included: (1) latitude (&plusmn;30&deg;) for thermal management of the rover and instruments, (2) elevation (<-1 km) for sufficient atmosphere to slow the spacecraft, (3) relief of <100-130 m at baselines of 1-1000 m for control authority and sufficient fuel during powered descent, (4) slopes of <30&deg; at baselines of 2-5 m for rover stability at touchdown, (5) moderate rock abundance to avoid impacting the belly pan during touchdown, and (6) a radar-reflective, load-bearing, and trafficable surface that is safe for landing and roving and not dominated by fine-grained dust. Science criteria important for the selection include the ability to assess past habitable environments, which include diversity, context, and biosignature (including organics) preservation. Sites were evaluated in detail using targeted data from instruments on all active orbiters, and especially Mars Reconnaissance Orbiter. All of the final four sites have layered sedimentary rocks with spectral evidence for phyllosilicates that clearly address the science objectives of the mission. Sophisticated entry, descent and landing simulations that include detailed information on all of the engineering constraints indicate all of the final four sites are safe for landing. Evaluation of the traversabilty of the landing sites and target “go to” areas outside of the ellipse using slope and material properties information indicates that all are trafficable and “go to” sites can be accessed within the lifetime of the mission. In the final selection, Gale crater was favored over Eberswalde based on its greater diversity and potential habitability.","language":"English","publisher":"Springer","doi":"10.1007/s11214-012-9916-y","usgsCitation":"Golombek, M., Grant, J., Kipp, D., Vasavada, A., Kirk, R.L., Fergason, R.L., Bellutta, P., Calef, F., Larsen, K., Katayama, Y., Huertas, A., Beyer, R., Chen, A., Parker, T., Pollard, B., Lee, S., Hoover, R., Sladek, H., Grotzinger, J., Welch, R., Dobrea, E.N., Michalski, J., and Watkins, M., 2012, Selection of the Mars Science Laboratory landing site: Space Science Reviews, v. 170, no. 1-4, p. 641-737, https://doi.org/10.1007/s11214-012-9916-y.","productDescription":"97 p.","startPage":"641","endPage":"737","numberOfPages":"97","ipdsId":"IP-037832","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":275961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"170","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2012-07-21","publicationStatus":"PW","scienceBaseUri":"51fcd4e8e4b0296e5a4b5c92","contributors":{"authors":[{"text":"Golombek, M.","contributorId":72506,"corporation":false,"usgs":true,"family":"Golombek","given":"M.","affiliations":[],"preferred":false,"id":481890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, J.","contributorId":53929,"corporation":false,"usgs":true,"family":"Grant","given":"J.","affiliations":[],"preferred":false,"id":481885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kipp, D.","contributorId":55724,"corporation":false,"usgs":true,"family":"Kipp","given":"D.","email":"","affiliations":[],"preferred":false,"id":481887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vasavada, A.","contributorId":45083,"corporation":false,"usgs":true,"family":"Vasavada","given":"A.","affiliations":[],"preferred":false,"id":481882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481873,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fergason, Robin L. 0000-0002-2044-1714 rfergason@usgs.gov","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":2753,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"rfergason@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bellutta, P.","contributorId":29296,"corporation":false,"usgs":true,"family":"Bellutta","given":"P.","email":"","affiliations":[],"preferred":false,"id":481880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Calef, F.","contributorId":45616,"corporation":false,"usgs":true,"family":"Calef","given":"F.","affiliations":[],"preferred":false,"id":481883,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larsen, K.","contributorId":33612,"corporation":false,"usgs":true,"family":"Larsen","given":"K.","email":"","affiliations":[],"preferred":false,"id":481881,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Katayama, Y.","contributorId":19071,"corporation":false,"usgs":true,"family":"Katayama","given":"Y.","email":"","affiliations":[],"preferred":false,"id":481878,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Huertas, A.","contributorId":91777,"corporation":false,"usgs":true,"family":"Huertas","given":"A.","email":"","affiliations":[],"preferred":false,"id":481893,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Beyer, R.","contributorId":11802,"corporation":false,"usgs":true,"family":"Beyer","given":"R.","affiliations":[],"preferred":false,"id":481875,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chen, A.","contributorId":60938,"corporation":false,"usgs":true,"family":"Chen","given":"A.","affiliations":[],"preferred":false,"id":481888,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Parker, T.","contributorId":90901,"corporation":false,"usgs":true,"family":"Parker","given":"T.","affiliations":[],"preferred":false,"id":481892,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pollard, B.","contributorId":50105,"corporation":false,"usgs":true,"family":"Pollard","given":"B.","email":"","affiliations":[],"preferred":false,"id":481884,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lee, S.","contributorId":63631,"corporation":false,"usgs":true,"family":"Lee","given":"S.","email":"","affiliations":[],"preferred":false,"id":481889,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hoover, R.","contributorId":15508,"corporation":false,"usgs":true,"family":"Hoover","given":"R.","affiliations":[],"preferred":false,"id":481877,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sladek, H.","contributorId":100728,"corporation":false,"usgs":true,"family":"Sladek","given":"H.","email":"","affiliations":[],"preferred":false,"id":481894,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Grotzinger, J.","contributorId":73384,"corporation":false,"usgs":true,"family":"Grotzinger","given":"J.","affiliations":[],"preferred":false,"id":481891,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Welch, R.","contributorId":6996,"corporation":false,"usgs":true,"family":"Welch","given":"R.","email":"","affiliations":[],"preferred":false,"id":481874,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Dobrea, E. Noe","contributorId":54497,"corporation":false,"usgs":true,"family":"Dobrea","given":"E.","email":"","middleInitial":"Noe","affiliations":[],"preferred":false,"id":481886,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Michalski, J.","contributorId":27346,"corporation":false,"usgs":true,"family":"Michalski","given":"J.","email":"","affiliations":[],"preferred":false,"id":481879,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Watkins, M.","contributorId":13889,"corporation":false,"usgs":true,"family":"Watkins","given":"M.","email":"","affiliations":[],"preferred":false,"id":481876,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70112921,"text":"70112921 - 2012 - Peninsular terrane basement ages recorded by Paleozoic and Paleoproterozoic zircon in gabbro xenoliths and andesite from Redoubt volcano, Alaska","interactions":[],"lastModifiedDate":"2019-05-30T10:02:08","indexId":"70112921","displayToPublicDate":"2012-01-01T13:47:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Peninsular terrane basement ages recorded by Paleozoic and Paleoproterozoic zircon in gabbro xenoliths and andesite from Redoubt volcano, Alaska","docAbstract":"Historically Sactive Redoubt volcano is an Aleutian arc basalt-to-dacite cone constructed upon the Jurassic–Early Tertiary Alaska–Aleutian Range batholith. The batholith intrudes the Peninsular tectonostratigraphic terrane, which is considered to have developed on oceanic basement and to have accreted to North America, possibly in Late Jurassic time. Xenoliths in Redoubt magmas have been thought to be modern cumulate gabbros and fragments of the batholith. However, new sensitive high-resolution ion microprobe (SHRIMP) U-Pb ages for zircon from gabbro xenoliths from a late Pleistocene pyroclastic deposit are dominated by much older, ca. 310 Ma Pennsylvanian and ca. 1865 Ma Paleoproterozoic grains. Zircon age distributions and trace-element concentrations indicate that the ca. 310 Ma zircons date gabbroic intrusive rocks, and the ca. 1865 Ma zircons also are likely from igneous rocks in or beneath Peninsular terrane basement. The trace-element data imply that four of five Cretaceous–Paleocene zircons, and Pennsylvanian low-U, low-Th zircons in one sample, grew from metamorphic or hydrothermal fluids. Textural evidence of xenocrysts and a dominant population of ca. 1865 Ma zircon in juvenile crystal-rich andesite from the same pyroclastic deposit show that this basement has been assimilated by Redoubt magma. Equilibration temperatures and oxygen fugacities indicated by Fe-Ti–oxide minerals in the gabbros and crystal-rich andesite suggest sources near the margins of the Redoubt magmatic system, most likely in the magma accumulation and storage region currently outlined by seismicity and magma petrology at ∼4–10 km below sea level. Additionally, a partially melted gabbro from the 1990 eruption contains zircon with U-Pb ages between ca. 620 Ma and ca. 1705 Ma, as well as one zircon with a U-Th disequilibrium model age of 0 ka. The zircon ages demonstrate that Pennsylvanian, and probably Paleoproterozoic, igneous rocks exist in, or possibly beneath, Peninsular terrane basement. Discovery of Pennsylvanian gabbro similar in age to Skolai arc plutons 500 km to the northeast indicates that the Peninsular terrane, along with the Wrangellia and Alexander terranes, has been part of the Wrangellia composite terrane since at least Pennsylvanian time. Moreover, the zircon data suggest that a Paleoproterozoic continental fragment may be present in the mid-to-upper crust in southern Alaska.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/B30439.1","usgsCitation":"Bacon, C.R., Vazquez, J.A., and Wooden, J., 2012, Peninsular terrane basement ages recorded by Paleozoic and Paleoproterozoic zircon in gabbro xenoliths and andesite from Redoubt volcano, Alaska: Geological Society of America Bulletin, v. 124, no. 1-2, p. 24-34, https://doi.org/10.1130/B30439.1.","productDescription":"11 p.","startPage":"24","endPage":"34","numberOfPages":"11","ipdsId":"IP-025393","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":288823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288802,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30439.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.792,59.774 ], [ -154.792,61.1813 ], [ -150.6941,61.1813 ], [ -150.6941,59.774 ], [ -154.792,59.774 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2011-09-30","publicationStatus":"PW","scienceBaseUri":"53ae77a3e4b0abf75cf2c193","contributors":{"authors":[{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":494934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":494935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":494936,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046804,"text":"70046804 - 2012 - Analysis options for estimating status and trends in long-term monitoring","interactions":[],"lastModifiedDate":"2013-08-28T13:30:39","indexId":"70046804","displayToPublicDate":"2012-01-01T13:23:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Analysis options for estimating status and trends in long-term monitoring","docAbstract":"This chapter describes methods for estimating long-term trends in ecological parameters. Other chapters in this volume discuss more advanced methods for analyzing monitoring data, but these methods may be relatively inaccessible to some readers. Therefore, this chapter provides an introduction to trend analysis for managers and biologists while also discussing general issues relevant to trend assessment in any long-term monitoring program.\n\nFor simplicity, we focus on temporal trends in population size across years. We refer to the survey results for each year as the “annual means” (e.g. mean per transect, per plot, per time period). The methods apply with little or no modification, however, to formal estimates of population size, other temporal units (e.g. a month), to spatial or other dimensions such as elevation or a north–south gradient, and to other quantities such as chemical or geological parameters. The chapter primarily discusses methods for estimating population-wide parameters rather than studying variation in trend within the population, which can be examined using methods presented in other chapters (e.g. Chapters 7, 12, 20). We begin by reviewing key concepts related to trend analysis. We then describe how to evaluate potential bias in trend estimates. An overview of the statistical models used to quantify trends is then presented. We conclude by showing ways to estimate trends using simple methods that can be implemented with spreadsheets.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Design and Analysis of Long-term Ecological Monitoring Studies","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","doi":"10.1017/CBO9781139022422.016","isbn":"9781139022422","usgsCitation":"Bart, J., and Beyer, H.L., 2012, Analysis options for estimating status and trends in long-term monitoring, chap. <i>of</i> Design and Analysis of Long-term Ecological Monitoring Studies, p. 253-278, https://doi.org/10.1017/CBO9781139022422.016.","productDescription":"26 p.","startPage":"253","endPage":"278","numberOfPages":"26","ipdsId":"IP-029100","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":277107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277106,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/CBO9781139022422.016"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f1be2e4b0f8bf2b0760ce","contributors":{"authors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":480303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beyer, Hawthorne L.","contributorId":99871,"corporation":false,"usgs":true,"family":"Beyer","given":"Hawthorne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480304,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037937,"text":"70037937 - 2012 - Relating management practices and nutrient export in agricultural watersheds of the United States","interactions":[],"lastModifiedDate":"2013-08-05T13:30:51","indexId":"70037937","displayToPublicDate":"2012-01-01T13:22:00","publicationYear":"2012","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":"Relating management practices and nutrient export in agricultural watersheds of the United States","docAbstract":"Relations between riverine export (load) of total nitrogen (N) and total phosphorus (P) from 133 large agricultural watersheds in the United States and factors affecting nutrient transport were evaluated using empirical regression models. After controlling for anthropogenic inputs and other landscape factors affecting nutrient transport-such as runoff, precipitation, slope, number of reservoirs, irrigated area, and area with subsurface tile drains-the relations between export and the area in the Conservation Reserve Program (CRP) (N) and conservation tillage (P) were positive. Additional interaction terms indicated that the relations between export and the area in conservation tillage (N) and the CRP (P) progressed from being clearly positive when soil erodibility was low or moderate, to being close to zero when soil erodibility was higher, to possibly being slightly negative only at the 90th to 95th percentile of soil erodibility values. Possible explanations for the increase in nutrient export with increased area in management practices include greater transport of soluble nutrients from areas in conservation tillage; lagged response of stream quality to implementation of management practices because of nitrogen transport in groundwater, time for vegetative cover to mature, and/or prior accumulation of P in soils; or limitations in the management practice and stream monitoring data sets. If lags are occurring, current nutrient export from agricultural watersheds may still be reflecting the influence of agricultural land-use practices that were in place before the implementation of these management practices.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2012.0073","usgsCitation":"Sprague, L.A., and Gronberg, J., 2012, Relating management practices and nutrient export in agricultural watersheds of the United States: Journal of Environmental Quality, v. 41, no. 6, p. 1939-1950, https://doi.org/10.2134/jeq2012.0073.","productDescription":"12 p.","startPage":"1939","endPage":"1950","numberOfPages":"12","ipdsId":"IP-036746","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276040,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2012.0073"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"41","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-11-01","publicationStatus":"PW","scienceBaseUri":"5200c967e4b009d47a4c23c5","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":463109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gronberg, Jo Ann M.","contributorId":18342,"corporation":false,"usgs":true,"family":"Gronberg","given":"Jo Ann M.","affiliations":[],"preferred":false,"id":463110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007539,"text":"sir20125009 - 2012 - Numerical simulation of flow in deep open boreholes in a coastal freshwater lens, Pearl Harbor Aquifer, O&#8216;ahu, Hawai&#8216;i","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20125009","displayToPublicDate":"2012-01-01T13:04:19","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5009","title":"Numerical simulation of flow in deep open boreholes in a coastal freshwater lens, Pearl Harbor Aquifer, O&#8216;ahu, Hawai&#8216;i","docAbstract":"The Pearl Harbor aquifer in southern O&#8216;ahu is one of the most important sources of freshwater in Hawai&#8216;i. A thick freshwater lens overlays brackish and saltwater in this coastal aquifer. Salinity profiles collected from uncased deep monitor wells (DMWs) commonly are used to monitor freshwater-lens thickness. However, vertical flow in DMWs can cause the measured salinity to differ from salinity in the adjacent aquifer or in an aquifer without a DWM. Substantial borehole flow and displacement of salinity in DMWs over several hundred feet have been observed in the Pearl Harbor aquifer. The objective of this study was to evaluate the effects of borehole flow on measured salinity profiles from DMWs. A numerical modeling approach incorporated aquifer hydraulic characteristics and recharge and withdrawal rates representative of the Pearl Harbor aquifer. Borehole flow caused by vertical hydraulic gradients associated with both the natural regional flow system and groundwater withdrawals was simulated.\n</p>\n<p>\nModel results indicate that, with all other factors being equal, greater withdrawal rates, closer withdrawal locations, or higher hydraulic conductivities of the well cause greater borehole flow and displacement of salinity in the well. Borehole flow caused by the natural groundwater-flow system is five orders of magnitude greater than vertical flow in a homogeneous aquifer, and borehole-flow directions are consistent with the regional flow system: downward flow in inland recharge areas and upward flow in coastal discharge areas. Displacement of salinity inside the DMWs associated with the regional groundwater-flow system ranges from less than 1 to 220 ft, depending on the location and assumed hydraulic conductivity of the well. For example, upward displacements of the 2 percent and 50 percent salinity depths in a well in the coastal discharge part of the flow system are 17 and 4.4 ft, respectively, and the average salinity difference between aquifer and borehole is 0.65 percent seawater salinity. Groundwater withdrawals and drawdowns generally occur at shallow depths in the freshwater system with respect to the depth of the DMW and cause upward flow in the DMW. Simulated groundwater withdrawal of 4.3 million gallons per day that is 100 ft from a DMW causes thirty times more borehole flow than borehole flow that is induced by the regional flow field alone. The displacement of the 2 percent borehole salinity depth increases from 17 to 33 ft, and the average salinity difference between aquifer and borehole is 0.85 percent seawater salinity. Peak borehole flow caused by local groundwater withdrawal near DMWs is directly proportional to the pumping rate in the nearby production well. Increasing groundwater withdrawal to 16.7 million gallons per day increases upward displacement of the 50 percent salinity depth (midpoint of the transition zone) from 4.6 to 77 ft, and the average salinity difference between aquifer and borehole is 1.4 percent seawater salinity.  Simulated groundwater withdrawal that is 3,000 ft away from DMWs causes less borehole flow and salinity displacements than nearby withdrawal. Simulated effects of groundwater withdrawal from a horizontal shaft and withdrawal from a vertical well in a homogeneous aquifer were similar. Generally, the 50 percent salinity depths are less affected by borehole flow than the 2 percent salinity depths. Hence, measured salinity profiles are useful for calibration of regional numerical models despite borehole-flow effects. Commonly, a 1 percent error in salinity is acceptable in numerical modeling studies. Incorporation of heterogeneity in the model is necessary to simulate long vertical steps observed in salinity profiles in southern O&#8216;ahu. A thick zone of low aquifer hydraulic conductivity limits exchange of water between aquifer and well and creates a long vertical step in the salinity profile. A heterogeneous basalt-aquifer scenario simulates observed vertical salinity steps and borehole flow that is consistent with measured borehole flow from DMWs in southern O&#8216;ahu. However, inclusion of local-scale heterogeneities in regional models generally is not warranted.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125009","usgsCitation":"Rotzoll, K., 2012, Numerical simulation of flow in deep open boreholes in a coastal freshwater lens, Pearl Harbor Aquifer, O&#8216;ahu, Hawai&#8216;i: U.S. Geological Survey Scientific Investigations Report 2012-5009, vi, 39 p., https://doi.org/10.3133/sir20125009.","productDescription":"vi, 39 p.","startPage":"i","endPage":"39","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":204720,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5009/","linkFileType":{"id":5,"text":"html"}},{"id":204736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5009.gif"}],"country":"United States","state":"Hawai'i","city":"Oahu","otherGeospatial":"Pearl Harbor Aquifer","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a691de4b0c8380cd73b80","contributors":{"authors":[{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":356637,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046868,"text":"70046868 - 2012 - Nitrate removal in deep sediments of a nitrogen-rich river network: A test of a conceptual model","interactions":[],"lastModifiedDate":"2013-07-16T13:22:23","indexId":"70046868","displayToPublicDate":"2012-01-01T13:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Nitrate removal in deep sediments of a nitrogen-rich river network: A test of a conceptual model","docAbstract":"Many estimates of nitrogen removal in streams and watersheds do not include or account for nitrate removal in deep sediments, particularly in gaining streams. We developed and tested a conceptual model for nitrate removal in deep sediments in a nitrogen-rich river network. The model predicts that oxic, nitrate-rich groundwater will become depleted in nitrate as groundwater upwelling through sediments encounters a zone that contains buried particulate organic carbon, which promotes redox conditions favorable for nitrate removal. We tested the model at eight sites in upwelling reaches of lotic ecosystems in the Waupaca River Watershed that varied by three orders of magnitude in groundwater nitrate concentration. We measured denitrification potential in sediment core sections to 30 cm and developed vertical nitrate profiles to a depth of about 1 m with peepers and piezometer nests. Denitrification potential was higher, on average, in shallower core sections. However, core sections deeper than 5 cm accounted for 70%, on average, of the depth-integrated denitrification potential. Denitrification potential increased linearly with groundwater nitrate concentration up to 2 mg NO<sub>3</sub>-N/L but the relationship broke down at higher concentrations (> 5 mg NO<sub>3</sub>-N/L), a pattern that suggests nitrate saturation. At most sites groundwater nitrate declined from high concentrations at depth to much lower concentrations prior to discharge into the surface water. The profiles suggested that nitrate removal occurred at sediment depths between 20 and 40 cm. Dissolved oxygen concentrations were much higher in deep sediments than in pore water at 5 cm sediment depth at most locations. The substantial denitrification potential in deep sediments coupled with the declines in nitrate and dissolved oxygen concentrations in upwelling groundwater suggest that our conceptual model for nitrate removal in deep sediments is applicable to this river network. Our results suggest that nitrate removal rates can be high in deep sediments of upwelling stream reaches, which may have implications for efforts to understand and quantify nitrogen transport and removal at larger scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012JG001990","usgsCitation":"Stelzer, R.S., and Bartsch, L., 2012, Nitrate removal in deep sediments of a nitrogen-rich river network: A test of a conceptual model: Journal of Geophysical Research: Biogeosciences, v. 117, no. G2, 12 p., https://doi.org/10.1029/2012JG001990.","productDescription":"12 p.","ipdsId":"IP-036248","costCenters":[],"links":[{"id":275081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274703,"type":{"id":15,"text":"Index Page"},"url":"https://www.agu.org/pubs/crossref/pip/2012JG001990.shtml"},{"id":275079,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JG001990"}],"volume":"117","issue":"G2","noUsgsAuthors":false,"publicationDate":"2012-06-23","publicationStatus":"PW","scienceBaseUri":"51e66b6ae4b017be1ba347ab","contributors":{"authors":[{"text":"Stelzer, Robert S.","contributorId":56538,"corporation":false,"usgs":false,"family":"Stelzer","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":480507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":3342,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":480506,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046996,"text":"70046996 - 2012 - Evaluation of capture techniques for long-billed curlews wintering in Texas","interactions":[],"lastModifiedDate":"2017-08-31T13:04:57","indexId":"70046996","displayToPublicDate":"2012-01-01T12:51:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1137,"text":"Bulletin of the Texas Ornithological Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of capture techniques for long-billed curlews wintering in Texas","docAbstract":"Texas coast harbors the largest, eastern-most populations of Long-billed Curlews (Numenius americanus) in North America; however, very little is known about their migration and wintering ecology. Curlews are readily captured on their breeding grounds, but experience with capturing the species during the non-breeding season is extremely limited. We assessed the efficacy of 6 capture techniques for Long-billed Curlews in winter: 1) modified noose ropes, 2) remotely controlled bow net, 3) Coda Netgun, 4) Super Talon net gun, 5) Hawkseye whoosh net, and 6) cast net. The Coda Netgun had the highest rate of captures per unit of effort (CPUE = 0.31; 4 curlew captures/13 d of trapping effort), followed by bow net (CPUE = 0.17; 1 capture/6 d of effort), whoosh net (CPUE = 0.14; 1 capturel7 d of effort), and noose ropes (CPUE = 0.07; 1 capturel15 d of effort). No curlews were captured using the Super Talon net gun or a cast net (3 d and 1 d of effort, respectively). Multiple capture techniques should be readily available for maximum flexibility in matching capture methods with neophobic curlews that often unpredictably change referred feeding locations among extremely different habitat types.","language":"English","publisher":"Texas Ornithological Society","usgsCitation":"Woodin, M.C., Skoruppa, M.K., Edwardson, J.W., and Austin, J., 2012, Evaluation of capture techniques for long-billed curlews wintering in Texas: Bulletin of the Texas Ornithological Society, v. 45, p. 12-22.","productDescription":"11 p.","startPage":"12","endPage":"22","numberOfPages":"11","ipdsId":"IP-033508","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":281112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5857e4b0b290850f8085","contributors":{"authors":[{"text":"Woodin, Marc C.","contributorId":56316,"corporation":false,"usgs":true,"family":"Woodin","given":"Marc","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":480826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skoruppa, Mary K.","contributorId":30692,"corporation":false,"usgs":true,"family":"Skoruppa","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":480824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwardson, Jeremy W.","contributorId":22091,"corporation":false,"usgs":true,"family":"Edwardson","given":"Jeremy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":480825,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70125655,"text":"70125655 - 2012 - The role of spatial and temporal heterogeneity and competition in structuring trematode communities in the great pond snail, <i>Lymnaea stagnalis</i> (L.)","interactions":[],"lastModifiedDate":"2014-09-18T12:50:23","indexId":"70125655","displayToPublicDate":"2012-01-01T12:49:25","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"The role of spatial and temporal heterogeneity and competition in structuring trematode communities in the great pond snail, <i>Lymnaea stagnalis</i> (L.)","docAbstract":"We assessed how spatial and temporal heterogeneity and competition structure larval trematode communities in the pulmonate snail <i>Lymnaea stagnalis</i>. To postulate a dominance hierarchy, mark-release-recapture was used to monitor replacements of trematode species within snails over time. In addition, we sampled the trematode community in snails in different ponds in 3 consecutive years. A total of 7,623 snails (10,382 capture events) was sampled in 7 fishponds in the Jindřichův Hradec and Třeboň areas in South Bohemia (Czech Republic) from August 2006 to October 2008. Overall, 39% of snails were infected by a community of 14 trematode species; 7% of snails were infected with more than 1 trematode species (constituting 16 double- and 4 triple-species combinations). Results of the null-model analyses suggested that spatial heterogeneity in recruitment among ponds isolated trematode species from each other, whereas seasonal pulses in recruitment increased species interactions in some ponds. Competitive exclusion among trematodes led to a rarity of multiple infections compared to null-model expectations. Competitive relationships among trematode species were hypothesized as a dominance hierarchy based on direct evidence of replacement and invasion and on indirect evidence. Seven top dominant species with putatively similar competitive abilities (6 rediae and 1 sporocyst species) reduced the prevalence of the other trematode species developing in sporocysts only.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Parasitology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Parasitologists","publisherLocation":"Lawrence, KS","doi":"10.1645/GE-2964.1","usgsCitation":"Soldánová, M., Kuris, A.M., Scholz, T., and Lafferty, K.D., 2012, The role of spatial and temporal heterogeneity and competition in structuring trematode communities in the great pond snail, <i>Lymnaea stagnalis</i> (L.): Journal of Parasitology, v. 98, no. 3, p. 460-471, https://doi.org/10.1645/GE-2964.1.","productDescription":"12 p.","startPage":"460","endPage":"471","numberOfPages":"12","ipdsId":"IP-030037","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294042,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1645/GE-2964.1"}],"volume":"98","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf45ce4b0e96537ddf8cb","contributors":{"authors":[{"text":"Soldánová, Miroslava","contributorId":81419,"corporation":false,"usgs":true,"family":"Soldánová","given":"Miroslava","affiliations":[],"preferred":false,"id":501564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuris, Armand M.","contributorId":54332,"corporation":false,"usgs":true,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":501563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholz, Tomáš","contributorId":14310,"corporation":false,"usgs":true,"family":"Scholz","given":"Tomáš","affiliations":[],"preferred":false,"id":501562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501561,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118575,"text":"70118575 - 2012 - The 1909 Taipei earthquake: implication for seismic hazard in Taipei","interactions":[],"lastModifiedDate":"2017-12-05T10:28:49","indexId":"70118575","displayToPublicDate":"2012-01-01T12:47:48","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"The 1909 Taipei earthquake: implication for seismic hazard in Taipei","docAbstract":"The 1909 April 14 Taiwan earthquake caused significant damage in Taipei. Most of the information on this earthquake available until now is from the written reports on its macro-seismic effects and from seismic station bulletins. In view of the importance of this event for assessing the shaking hazard in the present-day Taipei, we collected historical seismograms and station bulletins of this event and investigated them in conjunction with other seismological data. We compared the observed seismograms with those from recent earthquakes in similar tectonic environments to characterize the 1909 earthquake. Despite the inevitably large uncertainties associated with old data, we conclude that the 1909 Taipei earthquake is a relatively deep (50–100 km) intraplate earthquake that occurred within the subducting Philippine Sea Plate beneath Taipei with an estimated M_W of 7 ± 0.3. Some intraplate events elsewhere in the world are enriched in high-frequency energy and the resulting ground motions can be very strong. Thus, despite its relatively large depth and a moderately large magnitude, it would be prudent to review the safety of the existing structures in Taipei against large intraplate earthquakes like the 1909 Taipei earthquake.","language":"English","publisher":"Blackwell Science","doi":"10.1111/j.1365-246X.2012.05589.x","usgsCitation":"Kanamori, H., Lee, W.H., and Ma, K., 2012, The 1909 Taipei earthquake: implication for seismic hazard in Taipei: Geophysical Journal International, v. 191, no. 1, p. 126-146, https://doi.org/10.1111/j.1365-246X.2012.05589.x.","productDescription":"21 p.","startPage":"126","endPage":"146","numberOfPages":"21","ipdsId":"IP-036091","costCenters":[],"links":[{"id":474603,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2012.05589.x","text":"Publisher Index Page"},{"id":291311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291310,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2012.05589.x"}],"country":"Taiwan","city":"Taipei","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 121.45706,24.960508 ], [ 121.45706,25.210304 ], [ 121.665942,25.210304 ], [ 121.665942,24.960508 ], [ 121.45706,24.960508 ] ] ] } } ] }","volume":"191","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-15","publicationStatus":"PW","scienceBaseUri":"57f7f546e4b0bc0bec0a154b","contributors":{"authors":[{"text":"Kanamori, Hiroo","contributorId":106120,"corporation":false,"usgs":true,"family":"Kanamori","given":"Hiroo","affiliations":[],"preferred":false,"id":497064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, William H.K.","contributorId":76836,"corporation":false,"usgs":true,"family":"Lee","given":"William","email":"","middleInitial":"H.K.","affiliations":[],"preferred":false,"id":497063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Kuo-Fong","contributorId":29746,"corporation":false,"usgs":true,"family":"Ma","given":"Kuo-Fong","email":"","affiliations":[],"preferred":false,"id":497062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125779,"text":"70125779 - 2012 - Tools for quantifying isotopic niche space and dietary variation at the individual and population level.","interactions":[],"lastModifiedDate":"2014-09-18T12:48:01","indexId":"70125779","displayToPublicDate":"2012-01-01T12:46:49","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Tools for quantifying isotopic niche space and dietary variation at the individual and population level.","docAbstract":"Ecologists are increasingly using stable isotope analysis to inform questions about variation in resource and habitat use from the individual to community level. In this study we investigate data sets from 2 California sea otter (<i>Enhydra lutris nereis</i>) populations to illustrate the advantages and potential pitfalls of applying various statistical and quantitative approaches to isotopic data. We have subdivided these tools, or metrics, into 3 categories: IsoSpace metrics, stable isotope mixing models, and DietSpace metrics. IsoSpace metrics are used to quantify the spatial attributes of isotopic data that are typically presented in bivariate (e.g., δ<sup>13</sup>C versus δ<sup>15</sup>N) 2-dimensional space. We review IsoSpace metrics currently in use and present a technique by which uncertainty can be included to calculate the convex hull area of consumers or prey, or both. We then apply a Bayesian-based mixing model to quantify the proportion of potential dietary sources to the diet of each sea otter population and compare this to observational foraging data. Finally, we assess individual dietary specialization by comparing a previously published technique, variance components analysis, to 2 novel DietSpace metrics that are based on mixing model output. As the use of stable isotope analysis in ecology continues to grow, the field will need a set of quantitative tools for assessing isotopic variance at the individual to community level. Along with recent advances in Bayesian-based mixing models, we hope that the IsoSpace and DietSpace metrics described here will provide another set of interpretive tools for ecologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Provo, UT","doi":"10.1644/11-MAMM-S-187.1","usgsCitation":"Newsome, S.D., Yeakel, J.D., Wheatley, P.V., and Tinker, M.T., 2012, Tools for quantifying isotopic niche space and dietary variation at the individual and population level.: Journal of Mammalogy, v. 93, no. 2, p. 329-341, https://doi.org/10.1644/11-MAMM-S-187.1.","productDescription":"13 p.","startPage":"329","endPage":"341","numberOfPages":"13","ipdsId":"IP-029015","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294080,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/11-MAMM-S-187.1"},{"id":294081,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/full/10.1644/11-MAMM-S-187.1"}],"volume":"93","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-30","publicationStatus":"PW","scienceBaseUri":"541bf45de4b0e96537ddf8dc","contributors":{"authors":[{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":501661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeakel, Justin D.","contributorId":81418,"corporation":false,"usgs":true,"family":"Yeakel","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":501660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheatley, Patrick V.","contributorId":99057,"corporation":false,"usgs":true,"family":"Wheatley","given":"Patrick","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":501662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70125762,"text":"70125762 - 2012 - Variations of transcript profiles between sea otters <i>Enhydra lutris</i> from Prince William Sound, Alaska, and clinically normal reference otters","interactions":[],"lastModifiedDate":"2018-04-04T17:00:07","indexId":"70125762","displayToPublicDate":"2012-01-01T12:44:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Variations of transcript profiles between sea otters <i>Enhydra lutris</i> from Prince William Sound, Alaska, and clinically normal reference otters","docAbstract":"Development of blood leukocyte gene transcript profiles has the potential to expand condition assessments beyond those currently available to evaluate wildlife health, including sea otters <i>Enhydra lutris</i>, both individually and as populations. The 10 genes targeted in our study represent multiple physiological systems that play a role in immuno-modulation, inflammation, cell protection, tumor suppression, cellular stress-response, xenobiotic metabolizing enzymes, and antioxidant enzymes. These genes can be modified by biological, physical, or anthropogenic impacts and consequently provide information on the general type of stressors present in a given environment. We compared gene transcript profiles of sea otters sampled in 2008 among areas within Prince William Sound impacted to varying degrees by the 1989 ‘Exxon Valdez’ oil spill with those of captive and wild reference sea otters. Profiles of sea otters from Prince William Sound showed elevated transcription in genes associated with tumor formation, cell death, organic exposure, inflammation, and viral exposure when compared to the reference sea otter group, indicating possible recent and chronic exposure to organic contaminants. Sea otters from historically designated oiled areas within Prince William Sound 19 yr after the oil spill had higher transcription of genes associated with tumor formation, cell death, heat shock, and inflammation than those from areas designated as less impacted by the spill.","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf, Germany","doi":"10.3354/meps09572","usgsCitation":"Miles, A.K., Bowen, L., Ballachey, B.E., Bodkin, J.L., Murray, M., Estes, J., Keister, R.A., and Stott, J., 2012, Variations of transcript profiles between sea otters <i>Enhydra lutris</i> from Prince William Sound, Alaska, and clinically normal reference otters: Marine Ecology Progress Series, v. 451, p. 201-212, https://doi.org/10.3354/meps09572.","productDescription":"12 p.","startPage":"201","endPage":"212","ipdsId":"IP-028914","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09572","text":"Publisher Index Page"},{"id":294153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.0456,60.3221 ], [ -148.0456,60.8652 ], [ -146.5302,60.8652 ], [ -146.5302,60.3221 ], [ -148.0456,60.3221 ] ] ] } } ] }","volume":"451","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf464e4b0e96537ddf928","contributors":{"authors":[{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":501644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":501643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, M.","contributorId":89960,"corporation":false,"usgs":true,"family":"Murray","given":"M.","email":"","affiliations":[],"preferred":false,"id":501648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estes, J.L.","contributorId":94610,"corporation":false,"usgs":true,"family":"Estes","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":501649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keister, Robin A. rkeister@usgs.gov","contributorId":4540,"corporation":false,"usgs":true,"family":"Keister","given":"Robin","email":"rkeister@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":501646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stott, J.L.","contributorId":15403,"corporation":false,"usgs":true,"family":"Stott","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":501647,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70148684,"text":"70148684 - 2012 - A shell-neutral modeling approach yields sustainable oyster harvest estimates: a retrospective analysis of the Louisiana state primary seed grounds","interactions":[],"lastModifiedDate":"2015-06-19T11:03:16","indexId":"70148684","displayToPublicDate":"2012-01-01T12:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"A shell-neutral modeling approach yields sustainable oyster harvest estimates: a retrospective analysis of the Louisiana state primary seed grounds","docAbstract":"<p>A numerical model is presented that defines a sustainability criterion as no net loss of shell, and calculates a sustainable harvest of seed (&lt;75 mm) and sack or market oysters (&ge;75 mm). Stock assessments of the Primary State Seed Grounds conducted east of the Mississippi from 2009 to 2011 show a general trend toward decreasing abundance of sack and seed oysters. Retrospective simulations provide estimates of annual sustainable harvests. Comparisons of simulated sustainable harvests with actual harvests show a trend toward unsustainable harvests toward the end of the time series. Stock assessments combined with shell-neutral models can be used to estimate sustainable harvest and manage cultch through shell planting when actual harvest exceeds sustainable harvest. For exclusive restoration efforts (no fishing allowed), the model provides a metric for restoration success-namely, shell accretion. Oyster fisheries that remove shell versus reef restorations that promote shell accretion, although divergent in their goals, are convergent in their management; both require vigilant attention to shell budgets.</p>","language":"English","publisher":"National Shellfisheries Association","publisherLocation":"Plymouth, MA","doi":"10.2983/035.031.0421","collaboration":"Louisiana Sea Grant, LDWF","usgsCitation":"Soniat, T.M., Klinck, J.M., Powell, E.N., Cooper, N.W., , A., Hofmann, E.E., Dahal, J., Tu, S., Finigan, J., Eberline, B.S., La Peyre, J.F., LaPeyre, M.K., and Qaddoura, F., 2012, A shell-neutral modeling approach yields sustainable oyster harvest estimates: a retrospective analysis of the Louisiana state primary seed grounds: Journal of Shellfish Research, v. 31, no. 4, p. 1103-1112, https://doi.org/10.2983/035.031.0421.","productDescription":"10 p.","startPage":"1103","endPage":"1112","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038815","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55853d2ee4b023124e8f5ae8","contributors":{"authors":[{"text":"Soniat, Thomas M.","contributorId":11109,"corporation":false,"usgs":true,"family":"Soniat","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":549017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinck, John M.","contributorId":141235,"corporation":false,"usgs":false,"family":"Klinck","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":549018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Eric N.","contributorId":138550,"corporation":false,"usgs":false,"family":"Powell","given":"Eric","email":"","middleInitial":"N.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":549019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Nathan W.","contributorId":141236,"corporation":false,"usgs":false,"family":"Cooper","given":"Nathan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":549024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Abdelguerfi","contributorId":141237,"corporation":false,"usgs":false,"given":"Abdelguerfi","email":"","affiliations":[],"preferred":false,"id":549025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofmann, Eileen E.","contributorId":55726,"corporation":false,"usgs":true,"family":"Hofmann","given":"Eileen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":549026,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahal, Janak","contributorId":141238,"corporation":false,"usgs":false,"family":"Dahal","given":"Janak","email":"","affiliations":[],"preferred":false,"id":549027,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tu, Shengru","contributorId":141239,"corporation":false,"usgs":false,"family":"Tu","given":"Shengru","email":"","affiliations":[],"preferred":false,"id":549028,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finigan, John","contributorId":141240,"corporation":false,"usgs":false,"family":"Finigan","given":"John","email":"","affiliations":[],"preferred":false,"id":549029,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eberline, Benjamin S.","contributorId":141241,"corporation":false,"usgs":false,"family":"Eberline","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":549030,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":549031,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549007,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Qaddoura, Fareed","contributorId":141242,"corporation":false,"usgs":false,"family":"Qaddoura","given":"Fareed","email":"","affiliations":[],"preferred":false,"id":549032,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70118554,"text":"70118554 - 2012 - Molecular dynamics simulation of nitric oxide in myoglobin","interactions":[],"lastModifiedDate":"2014-07-29T11:41:30","indexId":"70118554","displayToPublicDate":"2012-01-01T11:35:50","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2423,"text":"Journal of Physical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Molecular dynamics simulation of nitric oxide in myoglobin","docAbstract":"The infrared (IR) spectroscopy and ligand migration of photodissociated nitric oxide (NO) in and around the active sites in myoglobin (Mb) are investigated. A distributed multipolar model for open-shell systems is developed and used, which allows one to realistically describe the charge distribution around the diatomic probe molecule. The IR spectra were computed from the trajectories for two conformational substates at various temperatures. The lines are narrow (width of 3–7 cm<sup>–1</sup> at 20–100 K), in agreement with the experimental observations where they have widths of 4–5 cm<sup>–1</sup> at 4 K. It is found that within one conformational substate (B or C) the splitting of the spectrum can be correctly described compared with recent experiments. Similar to photodissociated CO in Mb, additional substates exist for NO in Mb, which are separated by barriers below 1 kcal/mol. Contrary to full quantum mechanical calculations, however, the force field and mixed QM/MM simulations do not correctly describe the relative shifts between the B- and C-states relative to gas-phase NO. Free energy simulations establish that NO preferably localizes in the distal site and the barrier for migration to the neighboring Xe4 pocket is Δ<i>G</i><sub>B→C</sub> = 1.7–2.0 kcal/mol. The reverse barrier is Δ<i>G</i><sub>B←C</sub> = 0.7 kcal/mol, which agrees well with the experimental value of 0.7 kcal/mol, estimated from kinetic data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Physical Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/jp212112f","usgsCitation":"Lee, M.W., and Meuwly, M., 2012, Molecular dynamics simulation of nitric oxide in myoglobin: Journal of Physical Chemistry, v. 116, no. 14, p. 4154-4162, https://doi.org/10.1021/jp212112f.","productDescription":"9 p.","startPage":"4154","endPage":"4162","numberOfPages":"9","costCenters":[],"links":[{"id":291291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291289,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/jp212112f"}],"volume":"116","issue":"14","noUsgsAuthors":false,"publicationDate":"2012-03-28","publicationStatus":"PW","scienceBaseUri":"57f7f556e4b0bc0bec0a15ad","contributors":{"authors":[{"text":"Lee, Myung Won","contributorId":58950,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"","middleInitial":"Won","affiliations":[],"preferred":false,"id":496997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meuwly, Markus","contributorId":79408,"corporation":false,"usgs":true,"family":"Meuwly","given":"Markus","email":"","affiliations":[],"preferred":false,"id":496998,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118551,"text":"70118551 - 2012 - Structure, spectroscopy and dynamics of layered H2O and CO2 ices","interactions":[],"lastModifiedDate":"2014-07-29T11:29:06","indexId":"70118551","displayToPublicDate":"2012-01-01T11:27:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3058,"text":"Physical Chemistry Chemical Physics","active":true,"publicationSubtype":{"id":10}},"title":"Structure, spectroscopy and dynamics of layered H2O and CO2 ices","docAbstract":"Molecular dynamics simulations of structural, spectroscopic and dynamical properties of mixed water–carbon dioxide (H<sub>2</sub>O–CO<sub>2</sub>) ices are discussed over temperature ranges relevant to atmospheric and astrophysical conditions. The simulations employ multipolar force fields to represent electrostatic interactions which are essential for spectroscopic and dynamical investigations. It is found that at the water/CO<sub>2</sub> interface the water surface acts as a template for the CO<sub>2</sub> component. The rotational reorientation times in both bulk phases agree well with experimental observations. A pronounced temperature effect on the CO<sub>2</sub> reorientation time is observed between 100 K and 200 K. At the interface, water reorientation times are nearly twice as long compared to water in the bulk. The spectroscopy of such ices is rich in the far-infrared region of the spectrum and can be related to translational and rotational modes. Furthermore, spectroscopic signatures mediated across the water/CO<sub>2</sub> interface are found in this frequency range (around 440 cm<sup>−1</sup>). These results will be particularly important for new airborne experiments such as planned for SOFIA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Physical Chemistry Chemical Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Society of Chemistry (Cambridge)","doi":"10.1039/C2CP41904A","usgsCitation":"Lee. Myung Won, Plattner, N., and Meuwly, M., 2012, Structure, spectroscopy and dynamics of layered H2O and CO2 ices: Physical Chemistry Chemical Physics, v. 14, no. 44, p. 15464-15474, https://doi.org/10.1039/C2CP41904A.","productDescription":"11 p.","startPage":"15464","endPage":"15474","numberOfPages":"11","costCenters":[],"links":[{"id":291286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291285,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/C2CP41904A"}],"volume":"14","issue":"44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f556e4b0bc0bec0a15af","contributors":{"authors":[{"text":"Lee. Myung Won","contributorId":128172,"corporation":true,"usgs":false,"organization":"Lee. Myung Won","id":535666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plattner, Nuria","contributorId":77464,"corporation":false,"usgs":true,"family":"Plattner","given":"Nuria","email":"","affiliations":[],"preferred":false,"id":496991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meuwly, Markus","contributorId":79408,"corporation":false,"usgs":true,"family":"Meuwly","given":"Markus","email":"","affiliations":[],"preferred":false,"id":496992,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047204,"text":"70047204 - 2012 - Accuracy evaluation of an ASTER-Derived Global Digital Elevation Model (GDEM) Version 1 and Version 2 for two sites in western Africa","interactions":[],"lastModifiedDate":"2013-07-26T11:32:08","indexId":"70047204","displayToPublicDate":"2012-01-01T11:13:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy evaluation of an ASTER-Derived Global Digital Elevation Model (GDEM) Version 1 and Version 2 for two sites in western Africa","docAbstract":"This study compares the ASTER Global DEM version 1 (GDEMv1) and version 2 (GDEMv2) for two study sites with distinct terrain and land cover characteristics in western Africa. The effects of land cover, slope, relief, and stack number are evaluated through both absolute and relative DEM statistical comparisons. While GDEMv2 at times performed better than GDEMv1, this improvement was not consistent, revealing the complex nature and interaction of terrain and land cover characteristics, which influences the accuracy of GDEM tiles on local and regional scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.2747/1548-1603.49.6.775","usgsCitation":"Chirico, P., Malpeli, K., and Trimble, S.M., 2012, Accuracy evaluation of an ASTER-Derived Global Digital Elevation Model (GDEM) Version 1 and Version 2 for two sites in western Africa: GIScience and Remote Sensing, v. 49, no. 6, p. 775-801, https://doi.org/10.2747/1548-1603.49.6.775.","productDescription":"27 p.","startPage":"775","endPage":"801","numberOfPages":"27","ipdsId":"IP-042875","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":474612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.49.6.775","text":"Publisher Index Page"},{"id":275438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275436,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.49.6.775"},{"id":275437,"type":{"id":11,"text":"Document"},"url":"https://bellwether.metapress.com/content/p2530n272827681p/fulltext.pdf"}],"country":"Ghana;Mali","city":"Akwatia;K�ni�ba","otherGeospatial":"Akwatia;Ghana;K�ni�ba;Mali","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.33,5.88 ], [ -11.33,13.3 ], [ -0.64,13.3 ], [ -0.64,5.88 ], [ -11.33,5.88 ] ] ] } } ] }","volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"51f39a63e4b0a32220222f61","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":481352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malpeli, Katherine C.","contributorId":55106,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine C.","affiliations":[],"preferred":false,"id":481353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trimble, Sarah M.","contributorId":57748,"corporation":false,"usgs":true,"family":"Trimble","given":"Sarah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481354,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118547,"text":"70118547 - 2012 - Well log characterization of natural gas-hydrates","interactions":[],"lastModifiedDate":"2014-07-29T11:13:16","indexId":"70118547","displayToPublicDate":"2012-01-01T11:09:22","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Well log characterization of natural gas-hydrates","docAbstract":"In the last 25 years there have been significant advancements in the use of well-logging tools to acquire detailed information on the occurrence of gas hydrates in nature: whereas wireline electrical resistivity and acoustic logs were formerly used to identify gas-hydrate occurrences in wells drilled in Arctic permafrost environments, more advanced wireline and logging-while-drilling (LWD) tools are now routinely used to examine the petrophysical nature of gas-hydrate reservoirs and the distribution and concentration of gas hydrates within various complex reservoir systems. Resistivity- and acoustic-logging tools are the most widely used for estimating the gas-hydrate content (i.e., reservoir saturations) in various sediment types and geologic settings. Recent integrated sediment coring and well-log studies have confirmed that electrical-resistivity and acoustic-velocity data can yield accurate gas-hydrate saturations in sediment grain-supported (isotropic) systems such as sand reservoirs, but more advanced log-analysis models are required to characterize gas hydrate in fractured (anisotropic) reservoir systems. New well-logging tools designed to make directionally oriented acoustic and propagation-resistivity log measurements provide the data needed to analyze the acoustic and electrical anisotropic properties of both highly interbedded and fracture-dominated gas-hydrate reservoirs. Advancements in nuclear magnetic resonance (NMR) logging and wireline formation testing (WFT) also allow for the characterization of gas hydrate at the pore scale. Integrated NMR and formation testing studies from northern Canada and Alaska have yielded valuable insight into how gas hydrates are physically distributed in sediments and the occurrence and nature of pore fluids(i.e., free water along with clay- and capillary-bound water) in gas-hydrate-bearing reservoirs. Information on the distribution of gas hydrate at the pore scale has provided invaluable insight on the mechanisms controlling the formation and occurrence of gas hydrate in nature along with data on gas-hydrate reservoir properties (i.e., porosities and permeabilities) needed to accurately predict gas production rates for various gas-hydrate production schemes.","conferenceTitle":"Society of Petrophysicists and Well-Log Analysts","conferenceDate":"2012-06-16T00:00:00","conferenceLocation":"Cartagena, Columbia","language":"English","publisher":"Society of Petrophysicists and Well-Log Analysts","publisherLocation":"Houston, TX","usgsCitation":"Collett, T.S., and Lee, M.W., 2012, Well log characterization of natural gas-hydrates, 20 p.","productDescription":"20 p.","numberOfPages":"20","costCenters":[],"links":[{"id":291279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f556e4b0bc0bec0a15b1","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":496983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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