{"pageNumber":"688","pageRowStart":"17175","pageSize":"25","recordCount":46666,"records":[{"id":70032674,"text":"70032674 - 2011 - NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH","interactions":[],"lastModifiedDate":"2020-01-09T19:36:27","indexId":"70032674","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH","docAbstract":"NETPATH-WIN is an interactive user version of NETPATH, an inverse geochemical modeling code used to find mass-balance reaction models that are consistent with the observed chemical and isotopic composition of waters from aquatic systems. NETPATH-WIN was constructed to migrate NETPATH applications into the Microsoft WINDOWS® environment. The new version facilitates model utilization by eliminating difficulties in data preparation and results analysis of the DOS version of NETPATH, while preserving all of the capabilities of the original version. Through example applications, the note describes some of the features of NETPATH-WIN as applied to adjustment of radiocarbon data for geochemical reactions in groundwater systems.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00779.x","issn":"0017467X","usgsCitation":"El-Kadi, A., Plummer, N., and Aggarwal, P., 2011, NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH: Ground Water, v. 49, no. 4, p. 593-599, https://doi.org/10.1111/j.1745-6584.2010.00779.x.","productDescription":"7 p.","startPage":"593","endPage":"599","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505a6141e4b0c8380cd71895","contributors":{"authors":[{"text":"El-Kadi, A. I.","contributorId":103838,"corporation":false,"usgs":true,"family":"El-Kadi","given":"A. I.","affiliations":[],"preferred":false,"id":437397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":437396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aggarwal, P.","contributorId":14650,"corporation":false,"usgs":true,"family":"Aggarwal","given":"P.","affiliations":[],"preferred":false,"id":437395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032669,"text":"70032669 - 2011 - The influence of fine-scale habitat features on regional variation in population performance of alpine White-tailed Ptarmigan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032669","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"The influence of fine-scale habitat features on regional variation in population performance of alpine White-tailed Ptarmigan","docAbstract":"It is often assumed (explicitly or implicitly) that animals select habitat features to maximize fitness. However, there is often a mismatch between preferred habitats and indices of individual and population measures of performance. We examined the influence of fine-scale habitat selection on the overall population performance of the White-tailed Ptarmigan (Lagopus leucura), an alpine specialist, in two subdivided populations whose habitat patches are configured differently. The central region of Vancouver Island, Canada, has more continuous and larger habitat patches than the southern region. In 2003 and 2004, using paired logistic regression between used (n = 176) and available (n = 324) sites, we identified food availability, distance to standing water, and predator cover as preferred habitat components . We then quantified variation in population performance in the two regions in terms of sex ratio, age structure (n = 182 adults and yearlings), and reproductive success (n = 98 females) on the basis of 8 years of data (1995-1999, 2002-2004). Region strongly influenced females' breeding success, which, unsuccessful hens included, was consistently higher in the central region (n = 77 females) of the island than in the south (n = 21 females, P = 0.01). The central region also had a much higher proportion of successful hens (87%) than did the south (55%, P < 0.001). In light of our findings, we suggest that population performance is influenced by a combination of fine-scale habitat features and coarse-scale habitat configuration. ?? The Cooper Ornithological Society 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1525/cond.2011.100070","issn":"00105422","usgsCitation":"Fedy, B., and Martin, K., 2011, The influence of fine-scale habitat features on regional variation in population performance of alpine White-tailed Ptarmigan: Condor, v. 113, no. 2, p. 306-315, https://doi.org/10.1525/cond.2011.100070.","startPage":"306","endPage":"315","numberOfPages":"10","costCenters":[],"links":[{"id":475087,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100070","text":"Publisher Index Page"},{"id":213982,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2011.100070"},{"id":241660,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad21e4b08c986b3239cd","contributors":{"authors":[{"text":"Fedy, B.","contributorId":30461,"corporation":false,"usgs":true,"family":"Fedy","given":"B.","email":"","affiliations":[],"preferred":false,"id":437371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, K.","contributorId":82666,"corporation":false,"usgs":true,"family":"Martin","given":"K.","affiliations":[],"preferred":false,"id":437372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034479,"text":"70034479 - 2011 - On the use of log-transformation vs. nonlinear regression for analyzing biological power laws","interactions":[],"lastModifiedDate":"2021-04-19T20:46:04.466829","indexId":"70034479","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"On the use of log-transformation vs. nonlinear regression for analyzing biological power laws","docAbstract":"<p><span>Power‐law relationships are among the most well‐studied functional relationships in biology. Recently the common practice of fitting power laws using linear regression (LR) on log‐transformed data has been criticized, calling into question the conclusions of hundreds of studies. It has been suggested that nonlinear regression (NLR) is preferable, but no rigorous comparison of these two methods has been conducted. Using Monte Carlo simulations, we demonstrate that the error distribution determines which method performs better, with NLR better characterizing data with additive, homoscedastic, normal error and LR better characterizing data with multiplicative, heteroscedastic, lognormal error. Analysis of 471 biological power laws shows that both forms of error occur in nature. While previous analyses based on log‐transformation appear to be generally valid, future analyses should choose methods based on a combination of biological plausibility and analysis of the error distribution. We provide detailed guidelines and associated computer code for doing so, including a model averaging approach for cases where the error structure is uncertain.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-0538.1","issn":"00129658","usgsCitation":"Xiao, X., White, E., Hooten, M., and Durham, S., 2011, On the use of log-transformation vs. nonlinear regression for analyzing biological power laws: Ecology, v. 92, no. 10, p. 1887-1894, https://doi.org/10.1890/11-0538.1.","productDescription":"8 p.","startPage":"1887","endPage":"1894","costCenters":[],"links":[{"id":489034,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.26076/c731-dd92","text":"External Repository"},{"id":243654,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215827,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0538.1"}],"volume":"92","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6e0be4b0c8380cd75470","contributors":{"authors":[{"text":"Xiao, X.","contributorId":82869,"corporation":false,"usgs":true,"family":"Xiao","given":"X.","email":"","affiliations":[],"preferred":false,"id":446015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, E.P.","contributorId":69384,"corporation":false,"usgs":true,"family":"White","given":"E.P.","email":"","affiliations":[],"preferred":false,"id":446014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, M.B.","contributorId":50261,"corporation":false,"usgs":true,"family":"Hooten","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":446013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durham, S.L.","contributorId":94520,"corporation":false,"usgs":true,"family":"Durham","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":446016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036814,"text":"70036814 - 2011 - Seasonal fecundity and source-sink status of shrub-nesting birds in a southwestern riparian corridor","interactions":[],"lastModifiedDate":"2020-12-18T19:26:08.610667","indexId":"70036814","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Seasonal fecundity and source-sink status of shrub-nesting birds in a southwestern riparian corridor","docAbstract":"<p><span>Saltcedar (</span><span class=\"genus-species\">Tamarix</span><span>&nbsp;spp.) has increasingly dominated riparian floodplains relative to native forests in the southwestern U.S., but little is known about its impacts on avian productivity or population status. We monitored 86 Arizona Bell's Vireo (</span><span class=\"genus-species\">Vireo bellii arizonae</span><span>), 147 Abert's Towhee (</span><span class=\"genus-species\">Melozone aberti</span><span>), and 154 Yellow-breasted Chat (</span><span class=\"genus-species\">Icteria virens</span><span>) nests to assess reproductive parameters in cottonwood-willow (</span><span class=\"genus-species\">Populus-Salix</span><span>), saltcedar, and mesquite (</span><span class=\"genus-species\">Prosopis</span><span>&nbsp;spp.) stands along the San Pedro River, Arizona during 1999–2001. We also assessed source-sink status for each species in each vegetation type using field data combined with data from the literature. There were no significant differences in reproductive parameters between vegetation types for Abert's Towhee or Yellow-breasted Chat, although seasonal fecundity was quite low across vegetation types for the latter (0.75 ± 0.14; mean ± SE). Bell's Vireo had extremely low seasonal fecundity in saltcedar (0.10 ± 0.09) and significantly fewer fledglings per nest in saltcedar (0.09 ± 0.09) compared with cottonwood (1.07 ± 0.32). Point estimates of&nbsp;</span><span class=\"genus-species\">λ</span><span>&nbsp;were substantially &lt;1 for all three focal species in all habitats indicating the entire study area may be performing as a sink; 90% CI of&nbsp;</span><span class=\"inline-formula\"><a rel=\"noopener\" href=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/i1559-4491-123-1-48-e01.gif\" target=\"_blank\" data-mce-href=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/i1559-4491-123-1-48-e01.gif\"><img src=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/WebImages/i1559-4491-123-1-48-e01.gif\" alt=\"i1559-4491-123-1-48-e01.gif\" data-mce-src=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/WebImages/i1559-4491-123-1-48-e01.gif\"></a></span><span>&nbsp;included 1 only for Abert's Towhee across vegetation types and Bell's Vireo in cottonwood vegetation. These results are surprising given the San Pedro is considered to be one of the best remaining occurrences of lowland native riparian vegetation in the southwestern United States.</span></p>","language":"English","publisher":"BioOne","doi":"10.1676/10-061.1","issn":"15594491","usgsCitation":"Brand, L.A., and Noon, B., 2011, Seasonal fecundity and source-sink status of shrub-nesting birds in a southwestern riparian corridor: Wilson Journal of Ornithology, v. 123, no. 1, p. 48-58, https://doi.org/10.1676/10-061.1.","productDescription":"11 p.","startPage":"48","endPage":"58","costCenters":[],"links":[{"id":245857,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217884,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/10-061.1"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.2093505859375,\n              31.339562861785012\n            ],\n            [\n              -110.0390625,\n              31.344254455668054\n            ],\n            [\n              -110.08850097656249,\n              31.732839253650067\n            ],\n            [\n              -110.19287109375,\n              31.956823015897207\n            ],\n            [\n              -110.27526855468749,\n              32.08722870829662\n            ],\n            [\n              -110.3466796875,\n              32.01273389791075\n            ],\n            [\n              -110.30136108398438,\n              31.85889704445453\n            ],\n            [\n              -110.2423095703125,\n              31.66740831708089\n            ],\n            [\n              -110.19287109375,\n              31.555133721172034\n            ],\n            [\n              -110.20523071289061,\n              31.436865467417928\n            ],\n            [\n              -110.2093505859375,\n              31.339562861785012\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88a0e4b08c986b316a88","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":457975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noon, B.R.","contributorId":24311,"corporation":false,"usgs":true,"family":"Noon","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":457974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032619,"text":"70032619 - 2011 - Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison","interactions":[],"lastModifiedDate":"2020-01-14T15:26:38","indexId":"70032619","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison","docAbstract":"Brucella abortus, the causative agent of bovine brucellosis, infects wildlife, cattle, and humans worldwide, but management of the disease is often hindered by the logistics of controlling its prevalence in wildlife reservoirs. We used an individually based epidemiological model to assess the relative efficacies of three management interventions (sterilization, vaccination, and test-and-remove). The model was parameterized with demographic and epidemiological data from bison in Yellowstone National Park, USA. Sterilization and test-and-remove were most successful at reducing seroprevalence when they were targeted at young seropositive animals, which are the most likely age and sex category to be infectious. However, these approaches also required the most effort to implement. Vaccination was less effective (even with a perfect vaccine) but also required less effort to implement. For the treatment efforts we explored (50–100 individuals per year or 2.5–5% of the female population), sterilization had little impact upon the bison population growth rate when selectively applied. The population growth rate usually increased by year 25 due to the reduced number of Brucella-induced abortions. Initial declines in seroprevalence followed by rapid increases (>15% increase in 5 years) occurred in 3–13% of simulations with sterilization and test-and-remove, but not vaccination. We believe this is due to the interaction of superspreading events and the loss of herd immunity in the later stages of control efforts as disease prevalence declines. Sterilization provided a mechanism for achieving large disease reductions while simultaneously limiting population growth, which may be advantageous in some management scenarios. However, the field effort required to find the small segment of the population that is infectious rather than susceptible or recovered will likely limit the utility of this approach in many free-ranging wildlife populations. Nevertheless, we encourage scientists and policy makers to consider sterilization as part of a suite of available brucellosis management tools.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-2239.1","issn":"10510761","usgsCitation":"Ebinger, M., Cross, P.C., Wallen, R., White, P., and Treanor, J., 2011, Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison: Ecological Applications, v. 21, no. 8, p. 2944-2959, https://doi.org/10.1890/10-2239.1.","productDescription":"16 p.","startPage":"2944","endPage":"2959","numberOfPages":"16","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":241384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8fd4e4b08c986b319171","contributors":{"authors":[{"text":"Ebinger, M.","contributorId":49988,"corporation":false,"usgs":true,"family":"Ebinger","given":"M.","email":"","affiliations":[],"preferred":false,"id":437077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":779429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallen, Rick","contributorId":14202,"corporation":false,"usgs":true,"family":"Wallen","given":"Rick","affiliations":[],"preferred":false,"id":437075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":437078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treanor, John","contributorId":92063,"corporation":false,"usgs":true,"family":"Treanor","given":"John","affiliations":[],"preferred":false,"id":437079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034411,"text":"70034411 - 2011 - Digital hydrologic networks supporting applications related to spatially referenced regression modeling","interactions":[],"lastModifiedDate":"2021-04-22T11:51:43.894857","indexId":"70034411","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Digital hydrologic networks supporting applications related to spatially referenced regression modeling","docAbstract":"<p><span>Digital hydrologic networks depicting surface‐water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water‐quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process‐based/statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean‐annual streamflow. This produced more current flow estimates for use in SPARROW modeling.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00578.x","issn":"1093474X","usgsCitation":"Brakebill, J., Wolock, D., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","costCenters":[],"links":[{"id":475217,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":244564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0120e4b0c8380cd4fadf","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":445655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193760,"text":"70193760 - 2011 - Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity","interactions":[],"lastModifiedDate":"2020-01-28T15:25:52","indexId":"70193760","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity","docAbstract":"<p>Electromagnetic induction (EMI) instruments provide rapid, noninvasive, and spatially dense data for characterization of soil and groundwater properties. Data from multi-frequency EMI tools can be inverted to provide quantitative electrical conductivity estimates as a function of depth. In this study, multi-frequency EMI data collected across an abandoned uranium mill site near Naturita, Colorado, USA, are inverted to produce vertical distribution of electrical conductivity (<i>EC</i>) across the site. The relation between measured apparent electrical conductivity (<i>EC</i><sub><i>a</i></sub>) and hydraulic conductivity (<i>K</i>) is weak (correlation coefficient of 0.20), whereas the correlation between the depth dependent <i>EC</i> obtained from the inversions, and <i>K</i> is sufficiently strong to be used for hydrologic estimation (correlation coefficient of −&nbsp;0.62). Depth-specific <i>EC</i> values were correlated with co-located <i>K</i> measurements to develop a site-specific ln(<i>EC</i>)–ln(<i>K</i>) relation. This petrophysical relation was applied to produce a spatially detailed map of <i>K</i> across the study area. A synthetic example based on <i>EC</i><sub><i>a</i></sub> values at the site was used to assess model resolution and correlation loss given variations in depth and/or measurement error. Results from synthetic modeling indicate that optimum correlation with <i>K</i> occurs at ~&nbsp;0.5&nbsp;m followed by a gradual correlation loss of 90% at 2.3&nbsp;m. These results are consistent with an analysis of depth of investigation (DOI) given the range of frequencies, transmitter–receiver separation, and measurement errors for the field data. DOIs were estimated at 2.0&nbsp;±&nbsp;0.5&nbsp;m depending on the soil conductivities. A 4-layer model, with varying thicknesses, was used to invert the <i>EC</i><sub><i>a</i></sub> to maximize available information within the aquifer region for improved correlations with <i>K</i>. Results show improved correlation between <i>K</i> and the corresponding inverted <i>EC</i> at similar depths, underscoring the importance of inversion in using multi-frequency EMI data for hydrologic estimation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2011.02.004","usgsCitation":"Brosten, T.R., Day-Lewis, F.D., Schultz, G.M., Curtis, G.P., and Lane, J.W., 2011, Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity: Journal of Applied Geophysics, v. 73, no. 4, p. 323-335, https://doi.org/10.1016/j.jappgeo.2011.02.004.","productDescription":"23 p.","startPage":"323","endPage":"335","ipdsId":"IP-018972","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":348736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fbe4b06e28e9c25628","contributors":{"authors":[{"text":"Brosten, Troy R. tbrosten@usgs.gov","contributorId":138512,"corporation":false,"usgs":true,"family":"Brosten","given":"Troy","email":"tbrosten@usgs.gov","middleInitial":"R.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":720280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Gregory M.","contributorId":9582,"corporation":false,"usgs":false,"family":"Schultz","given":"Gregory","email":"","middleInitial":"M.","affiliations":[{"id":35646,"text":"Sky Research, Inc., Hanover, NH","active":true,"usgs":false}],"preferred":false,"id":720281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":720282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720284,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70033908,"text":"70033908 - 2011 - Developing user-friendly habitat suitability tools from regional stream fish survey data","interactions":[],"lastModifiedDate":"2013-04-24T21:47:12","indexId":"70033908","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Developing user-friendly habitat suitability tools from regional stream fish survey data","docAbstract":"We developed user-friendly fish habitat suitability tools (plots) for fishery managers in Michigan; these tools are based on driving habitat variables and fish population estimates for several hundred stream sites throughout the state. We generated contour plots to show patterns in fish biomass for over 60 common species (and for 120 species grouped at the family level) in relation to axes of catchment area and low-flow yield (90% exceedance flow divided by catchment area) and also in relation to axes of mean and weekly range of July temperatures. The plots showed distinct patterns in fish habitat suitability at each level of biological organization studied and were useful for quantitatively comparing river sites. We demonstrate how these plots can be used to support stream management, and we provide examples pertaining to resource assessment, trout stocking, angling regulations, chemical reclamation of marginal trout streams, indicator species, instream flow protection, and habitat restoration. These straightforward and effective tools are electronically available so that managers can easily access and incorporate them into decision protocols and presentations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2011.557965","issn":"02755947","usgsCitation":"Zorn, T., Seelbach, P., and Wiley, M., 2011, Developing user-friendly habitat suitability tools from regional stream fish survey data: North American Journal of Fisheries Management, v. 31, no. 1, p. 41-55, https://doi.org/10.1080/02755947.2011.557965.","productDescription":"15 p.","startPage":"41","endPage":"55","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":214479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.557965"},{"id":242207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-09","publicationStatus":"PW","scienceBaseUri":"505a0013e4b0c8380cd4f594","contributors":{"authors":[{"text":"Zorn, T.G.","contributorId":11316,"corporation":false,"usgs":true,"family":"Zorn","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":443127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seelbach, P.","contributorId":16667,"corporation":false,"usgs":true,"family":"Seelbach","given":"P.","email":"","affiliations":[],"preferred":false,"id":443128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, M.J.","contributorId":68976,"corporation":false,"usgs":true,"family":"Wiley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":443129,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034103,"text":"70034103 - 2011 - Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC)","interactions":[],"lastModifiedDate":"2025-05-14T18:54:35.141578","indexId":"70034103","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC)","docAbstract":"<p><span>Aeromagnetic data belonging to the State Company of Geology and Mining of Iraq (GEOSURV) have been recovered from magnetic tapes and early paper maps. In 1974 a national airborne survey was flown by the French firm Compagnie General de Geophysique (CGG). Following the survey the magnetic data were stored on magnetic tapes within an air conditioned archive run by GEOSURV. In 1990, the power supply to the archive was cut resulting in the present‐day poor condition of the tapes. Frontier Processing Company and the U.S. Geological Survey (USGS) have been able to recover over 99 percent of the original digital data from the CGG tapes. Preliminary reprocessing of the data yielded a total magnetic field anomaly map that reveals fine structures not evident in available published maps. Successful restoration of these comprehensive, high quality digital datasets obviates the need to resurvey the entire country, thereby saving considerable time and money. These data were delivered to GEOSURV in a standard format for further analysis and interpretation. A parallel effort by GETECH concentrated on recovering the legacy gravity data from the original field data sheets archived by IPC (Iraq Petroleum Company). These data have been compiled with more recent GEOSURV sponsored surveys thus allowing for the first time a comprehensive digital and unified national gravity database to be constructed with full principal facts. Figure 1 shows the final aeromagnetic and gravity data coverage of Iraq. The only part of Iraq lacking gravity and aeromagnetic data coverage is the mountainous areas of the Kurdish region of northeastern Iraq. Joint interpretation of the magnetic and gravity data will help guide future geophysical investigations by GEOSURV, whose ultimate aim is to discover economical mineral and energy resources.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3628209","usgsCitation":"Smith, D.V., Drenth, B.J., Fairhead, J., Lei, K., Dark, J., and Al-Bassam, K., 2011, Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC): SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 856-860, https://doi.org/10.1190/1.3628209.","startPage":"856","endPage":"860","numberOfPages":"5","costCenters":[],"links":[{"id":244802,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran, Iraq","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              61.87499999999999,\n              25.363882272740256\n            ],\n            [\n              63.19335937499999,\n              27.21555620902969\n            ],\n            [\n              61.3037109375,\n              30.56226095049944\n            ],\n            [\n              61.2158203125,\n              36.421282443649496\n            ],\n            [\n              56.42578125,\n              38.37611542403604\n            ],\n            [\n              53.5693359375,\n              37.405073750176925\n            ],\n            [\n              50.6689453125,\n              36.914764288955936\n            ],\n            [\n              48.69140625,\n              38.85682013474361\n            ],\n            [\n              48.1201171875,\n              39.50404070558415\n            ],\n          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]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"50e4a322e4b0e8fec6cdb773","contributors":{"authors":[{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":444104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":444106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairhead, J.D.","contributorId":102714,"corporation":false,"usgs":true,"family":"Fairhead","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":444108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lei, K.","contributorId":19810,"corporation":false,"usgs":true,"family":"Lei","given":"K.","email":"","affiliations":[],"preferred":false,"id":444103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dark, J.A.","contributorId":43599,"corporation":false,"usgs":true,"family":"Dark","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":444105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Al-Bassam, K.","contributorId":65694,"corporation":false,"usgs":true,"family":"Al-Bassam","given":"K.","email":"","affiliations":[],"preferred":false,"id":444107,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034235,"text":"70034235 - 2011 - Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","interactions":[],"lastModifiedDate":"2015-07-22T10:07:43","indexId":"70034235","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","docAbstract":"<p><span>Most studies of King Rail (</span><i>Rallus elegans</i><span>) have investigated habitat use during the nesting season, while few comparisons have been made between the nesting and brood-rearing seasons. King Rails were located during the nesting season in Missouri using repeated surveys with call playback, and systematic searches for broods were conducted during the brood-rearing season. King Rail adults were located at twelve points in 2006 and 14 points in 2007, and five King Rail broods were located in each year. Water depth was measured and dominant cover type determined for randomly sampled 5-m plots within used and unused habitats. Logistic regression models were fitted to the data and top models were selected from the candidate set using AIC</span><sub>c</sub><span>. Nesting adults occurred more often in areas dominated by short (&le;1 m) emergent vegetation (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= 0.77 &plusmn; 0.27) and deeper water (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= 0.05 &plusmn; 0.02). Broods occurred more often in areas dominated by short emergent vegetation (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= 1.19 &plusmn; 0.37) and shallow water (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= -0.17 &plusmn; 0.06), and avoided areas dominated by tall (&gt;1 m) emergent vegetation (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;=-1.15 &plusmn; 0.45). A modified catch-curve analysis was used to estimate chick daily survival rates during selected 7-day periods for each year. Daily survival rate ranged from 0.92 &plusmn; 0.008 in late June 2007 to 0.96 &plusmn; 0.005 in late July 2006. Management plans for King Rails should include the different habitat types needed during the nesting and brood-rearing stages.</span></p>","largerWorkTitle":"Waterbirds","language":"English","doi":"10.1675/063.034.0204","issn":"15244695","usgsCitation":"Darrah, A., and Krementz, D., 2011, Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys: Waterbirds, v. 34, no. 2, p. 160-167, https://doi.org/10.1675/063.034.0204.","startPage":"160","endPage":"167","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216880,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0204"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f47e4b0c8380cd5cc46","contributors":{"authors":[{"text":"Darrah, A.J.","contributorId":57691,"corporation":false,"usgs":true,"family":"Darrah","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":444800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, D.G.","contributorId":74332,"corporation":false,"usgs":true,"family":"Krementz","given":"D.G.","affiliations":[],"preferred":false,"id":444801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042392,"text":"70042392 - 2011 - Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","interactions":[],"lastModifiedDate":"2020-01-13T06:34:57","indexId":"70042392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","docAbstract":"<p>Movement of dissolved inorganic carbon (DIC) through the hydrologic cycle is an important component of global carbon budgets, but there is considerable uncertainty about the controls of DIC transmission from landscapes to streams, and through river networks to the oceans. In this study, diel measurements of DIC, d13C-DIC, dissolved oxygen (O2), d18O-O2, alkalinity, pH, and other parameters were used to assess the relative magnitudes of biological and geochemical controls on DIC cycling and flux in a nutrient-rich, net autotrophic stream. Rates of photosynthesis (P), respiration (R), groundwater discharge, air–water exchange of CO2, and carbonate precipitation/dissolution were quantified through a time-stepping chemical/isotope (12C and 13C, 16O and 18O) mass balance model. Groundwater was the major source of DIC to the stream. Primary production and carbonate precipitation were equally important sinks for DIC removed from the water column. The stream was always super-saturated with respect to carbonate minerals, but carbonate precipitation occurred mainly during the day when P increased pH. We estimated more than half (possibly 90%) of the carbonate precipitated during the day was retained in the reach under steady baseflow conditions. The amount of DIC removed from the overlying water through carbonate precipitation was similar to the amount of DIC generated from R. Air–water exchange of CO2 was always from the stream to the atmosphere, but was the smallest component of the DIC budget. Overall, the in-stream DIC reactions reduced the amount of CO2 evasion and the downstream flux of groundwater-derived DIC by about half relative to a hypothetical scenario with groundwater discharge only. Other streams with similar characteristics are widely distributed in the major river basins of North America. Data from USGS water quality monitoring networks from the 1960s to the 1990s indicated that 40% of 652 stream monitoring stations in the contiguous USA were at or above the equilibrium saturation state for calcite, and 77% of all stations exhibited apparent increases in saturation state from the 1960/70s to the 1980/90s. Diel processes including partially irreversible carbonate precipitation may affect net carbon fluxes from many such watersheds.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.12.012","usgsCitation":"Tobias, C., and Bohlke, J., 2011, Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond: Chemical Geology, v. 283, no. 1-2, p. 18-30, https://doi.org/10.1016/j.chemgeo.2010.12.012.","productDescription":"13 p.","startPage":"18","endPage":"30","ipdsId":"IP-022716","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ],\n            [\n              -124.98046874999999,\n              46.07323062540835\n            ],\n            [\n              -125.68359374999999,\n              42.032974332441405\n            ],\n            [\n              -125.33203125,\n              39.232253141714885\n            ],\n            [\n              -122.87109375,\n              36.1733569352216\n            ],\n            [\n              -119.53125,\n              33.43144133557529\n            ],\n            [\n              -116.3671875,\n              32.69486597787505\n            ],\n            [\n              -111.4453125,\n              31.50362930577303\n            ],\n            [\n              -106.875,\n              31.653381399664\n            ],\n            [\n              -95.97656249999999,\n              25.005972656239187\n            ],\n            [\n              -95.625,\n              27.68352808378776\n            ],\n            [\n              -92.98828125,\n              29.38217507514529\n            ],\n            [\n              -88.59374999999999,\n              28.613459424004414\n            ],\n            [\n              -88.24218749999999,\n              29.84064389983441\n            ],\n            [\n              -84.90234375,\n              28.613459424004414\n            ],\n            [\n              -80.68359375,\n              24.046463999666567\n            ],\n            [\n              -79.1015625,\n              25.48295117535531\n            ],\n            [\n              -78.92578124999999,\n              30.751277776257812\n            ],\n            [\n              -76.46484375,\n              34.59704151614417\n            ],\n            [\n              -74.70703125,\n              37.020098201368114\n            ],\n            [\n              -73.30078125,\n              38.8225909761771\n            ],\n            [\n              -70.48828125,\n              40.84706035607122\n            ],\n            [\n              -67.5,\n              43.83452678223682\n            ],\n            [\n              -67.5,\n              47.27922900257082\n            ],\n            [\n              -69.78515625,\n              47.27922900257082\n            ],\n            [\n              -75.76171875,\n              45.82879925192134\n            ],\n            [\n              -81.73828125,\n              42.16340342422401\n            ],\n            [\n              -80.85937499999999,\n              45.089035564831036\n            ],\n            [\n              -84.19921875,\n              46.92025531537451\n            ],\n            [\n              -93.8671875,\n              49.38237278700955\n            ],\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebfc72e4b07f1501afcfc4","contributors":{"authors":[{"text":"Tobias, Craig","contributorId":90612,"corporation":false,"usgs":true,"family":"Tobias","given":"Craig","affiliations":[],"preferred":false,"id":471455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":471454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034241,"text":"70034241 - 2011 - Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:51","indexId":"70034241","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions","docAbstract":"Recent paleomagnetic work has highlighted a common and shallow inclination bias in continental redbeds. The Permian and Triassic paleomagnetic records from Laurentia are almost entirely derived from such sedimentary rocks, so a pervasive inclination error will expectedly bias the apparent polar wander path of Laurentia in a significant way. The long-standing discrepancy between the apparent polar wander paths of Laurentia and Gondwana in Permian and Triassic time may be a consequence of such a widespread data-pathology. Here we present new Middle Permian paleomagnetic data from igneous rocks and a contact metamorphosed limestone from cratonic Laurentia. The exclusively reversed Middle Permian magnetization is hosted by low-Ti titanomagnetite and pyrrhotite and yields a paleomagnetic pole at 56.3??S, 302.9??E (A95=3.8, N=6). This pole, which is unaffected by inclination shallowing, suggests that a shallow inclination bias may indeed be present in the Laurentian records. To further consider this hypothesis, we conduct a virtual geomagnetic pole distribution analysis, comparing theoretical expectations of a statistical field model (TK03.GAD) against published data-sets. This exercise provides independent evidence that the Laurentian paleomagnetic data is widely biased, likely because of sedimentary inclination shallowing. We estimate the magnitude of this error from our model results and present and discuss several alternative corrections. ?? 2011 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.tecto.2011.08.016","issn":"00401951","usgsCitation":"Domeier, M., Van Der Voo, R., and Denny, F., 2011, Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions: Tectonophysics, v. 511, no. 1-2, p. 38-52, https://doi.org/10.1016/j.tecto.2011.08.016.","startPage":"38","endPage":"52","numberOfPages":"15","costCenters":[],"links":[{"id":216520,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tecto.2011.08.016"},{"id":244397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"511","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0b2e4b08c986b32efe3","contributors":{"authors":[{"text":"Domeier, M.","contributorId":78170,"corporation":false,"usgs":true,"family":"Domeier","given":"M.","email":"","affiliations":[],"preferred":false,"id":444855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Der Voo, R.","contributorId":61959,"corporation":false,"usgs":true,"family":"Van Der Voo","given":"R.","email":"","affiliations":[],"preferred":false,"id":444854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, F.B.","contributorId":53546,"corporation":false,"usgs":true,"family":"Denny","given":"F.B.","email":"","affiliations":[],"preferred":false,"id":444853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034302,"text":"70034302 - 2011 - LA-ICP-MS of magnetite: Methods and reference materials","interactions":[],"lastModifiedDate":"2021-04-22T20:47:55.496344","indexId":"70034302","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2155,"text":"Journal of Analytical Atomic Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"LA-ICP-MS of magnetite: Methods and reference materials","docAbstract":"<p>Magnetite<span>&nbsp;(Fe</span><small><sub>3</sub></small><span>O</span><small><sub>4</sub></small><span>) is a common accessory&nbsp;</span>mineral<span>&nbsp;in many geologic settings. Its variable geochemistry makes it a powerful petrogenetic&nbsp;</span>indicator<span>. Electron microprobe (</span>EMPA<span>) analyses are commonly used to examine major and minor element contents in&nbsp;</span>magnetite<span>.&nbsp;</span>Laser ablation ICP-MS<span>&nbsp;(</span>LA-ICP-MS<span>) is applicable to trace element analyses of&nbsp;</span>magnetite<span>&nbsp;but has not been widely employed to examine compositional variations. We tested the applicability of the NIST SRM 610, the USGS GSE-1G, and the NIST SRM 2782 reference materials (RMs) as external standards and developed a reliable method for&nbsp;</span>LA-ICP-MS<span>&nbsp;analysis of&nbsp;</span>magnetite<span>.&nbsp;</span>LA-ICP-MS<span>&nbsp;analyses were carried out on well characterized&nbsp;</span>magnetite<span>&nbsp;samples with a 193 nm, Excimer, ArF LA system. Although&nbsp;</span>matrix<span>-matched RMs are sometimes important for calibration and normalization of&nbsp;</span>LA-ICP-MS<span>&nbsp;data, we demonstrate that glass RMs can produce accurate results for&nbsp;</span>LA-ICP-MS<span>&nbsp;analyses of&nbsp;</span>magnetite<span>. Cross-comparison between the NIST SRM 610 and USGS GSE-1G indicates good agreement for&nbsp;</span>magnetite<span>&nbsp;minor and trace element data calibrated with either of these RMs. Many elements show a sufficiently good match between the LA-ICP-MS and the EMPA data; for example, Ti and V show a close to linear relationship with correlation coefficients,&nbsp;</span><i>R</i><small><sup>2</sup></small><span>&nbsp;of 0.79 and 0.85 respectively.</span></p>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c1ja10105f","issn":"02679477","usgsCitation":"Nadoll, P., and Koenig, A., 2011, LA-ICP-MS of magnetite: Methods and reference materials: Journal of Analytical Atomic Spectrometry, v. 26, no. 9, p. 1872-1877, https://doi.org/10.1039/c1ja10105f.","productDescription":"6 p.","startPage":"1872","endPage":"1877","costCenters":[],"links":[{"id":244816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216915,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/c1ja10105f"}],"volume":"26","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a40d5e4b0c8380cd65097","contributors":{"authors":[{"text":"Nadoll, P.","contributorId":70217,"corporation":false,"usgs":true,"family":"Nadoll","given":"P.","affiliations":[],"preferred":false,"id":445154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, A.E. 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":23679,"corporation":false,"usgs":true,"family":"Koenig","given":"A.E.","affiliations":[],"preferred":false,"id":445153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033852,"text":"70033852 - 2011 - Developing effective sampling designs for monitoring natural resources in Alaskan national parks: an example using simulations and vegetation data","interactions":[],"lastModifiedDate":"2013-11-06T14:53:45","indexId":"70033852","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Developing effective sampling designs for monitoring natural resources in Alaskan national parks: an example using simulations and vegetation data","docAbstract":"Monitoring natural resources in Alaskan national parks is challenging because of their remoteness, limited accessibility, and high sampling costs. We describe an iterative, three-phased process for developing sampling designs based on our efforts to establish a vegetation monitoring program in southwest Alaska. In the first phase, we defined a sampling frame based on land ownership and specific vegetated habitats within the park boundaries and used Path Distance analysis tools to create a GIS layer that delineated portions of each park that could be feasibly accessed for ground sampling. In the second phase, we used simulations based on landcover maps to identify size and configuration of the ground sampling units (single plots or grids of plots) and to refine areas to be potentially sampled. In the third phase, we used a second set of simulations to estimate sample size and sampling frequency required to have a reasonable chance of detecting a minimum trend in vegetation cover for a specified time period and level of statistical confidence. Results of the first set of simulations indicated that a spatially balanced random sample of single plots from the most common landcover types yielded the most efficient sampling scheme. Results of the second set of simulations were compared with field data and indicated that we should be able to detect at least a 25% change in vegetation attributes over 31. years by sampling 8 or more plots per year every five years in focal landcover types. This approach would be especially useful in situations where ground sampling is restricted by access.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.09.032","issn":"00063207","usgsCitation":"Thompson, W.L., Miller, A.E., Mortenson, D.C., and Woodward, A., 2011, Developing effective sampling designs for monitoring natural resources in Alaskan national parks: an example using simulations and vegetation data: Biological Conservation, v. 144, no. 5, p. 1270-1277, https://doi.org/10.1016/j.biocon.2010.09.032.","productDescription":"8 p.","startPage":"1270","endPage":"1277","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":214116,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.09.032"},{"id":241808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alagnak Wild River;Aniakchak National Monument And Preserve;Katmai National Park And Preserve;Kenai Fjords National Park;Lake Clark National Park And Preserve;Southwest Alaska Network","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162.93,56.49 ], [ -162.93,62.09 ], [ -145.44,62.09 ], [ -145.44,56.49 ], [ -162.93,56.49 ] ] ] } } ] }","volume":"144","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a000fe4b0c8380cd4f579","contributors":{"authors":[{"text":"Thompson, William L.","contributorId":6269,"corporation":false,"usgs":true,"family":"Thompson","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Amy E.","contributorId":101468,"corporation":false,"usgs":true,"family":"Miller","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":442839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortenson, Dorothy C.","contributorId":66075,"corporation":false,"usgs":true,"family":"Mortenson","given":"Dorothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":442838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":442836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193014,"text":"70193014 - 2011 - The LANDFIRE Total Fuel Change Tool (ToFuΔ) user’s guide","interactions":[],"lastModifiedDate":"2018-04-23T09:16:30","indexId":"70193014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The LANDFIRE Total Fuel Change Tool (ToFuΔ) user’s guide","docAbstract":"<p>LANDFIRE fuel data were originally developed from coarse-scale existing vegetation type, existing vegetation cover, existing vegetation height, and biophysical setting layers. Fire and fuel specialists from across the country provided input to the original LANDFIRE National (LF_1.0.0) fuel layers to help calibrate fuel characteristics on a more localized scale. The LANDFIRE Total Fuel Change Tool (ToFu∆) was developed from this calibration process. </p><p>Vegetation is subject to constant change – and fuels are therefore also dynamic, necessitating a systematic method for reflecting changes spatially so that fire behavior can be accurately accessed. ToFuΔ allows local experts to quickly produce maps that spatially display any proposed fuel characteristics changes. </p><p>ToFu∆ works through a Microsoft Access database to produce spatial results in ArcMap based on rule sets devised by the user that take into account the existing vegetation type (EVT), existing vegetation cover (EVC), existing vegetation height (EVH), and biophysical setting (BpS) from the LANDFIRE grid data. There are also options within ToFu∆ to add discrete variables in grid format through use of the wildcard option and for subdividing specific areas for different fuel characteristic assignments through the BpS grid. </p><p>The ToFu∆ user determines the size of the area for assessment by defining a Management Unit, or “MU.” User-defined rule sets made up of EVT, EVC, EVH, and BpS layers, as well as any wildcard selections, are used to change or refine fuel characteristics within the MU. Once these changes have been made to the fuel characteristics, new grids are created for fire behavior analysis or planning. These grids represent the most common ToFu∆ output. </p><p>ToFuΔ is currently under development and will continue to be updated in the future. The current beta version (0.12), released in March 2011, is compatible with Windows 7 and will be the last release until the fall of 2011.</p>","language":"English","publisher":"The National Interagency Fuels, Fire, & Vegetation Technology Transfer","usgsCitation":"Smail, T., Martin, C., and Napoli, J., 2011, The LANDFIRE Total Fuel Change Tool (ToFuΔ) user’s guide, 113 p.","productDescription":"113 p.","ipdsId":"IP-028229","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350122,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.frames.gov/files/2413/3347/9996/LFTFC_Users_Guide.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fde4b06e28e9c2563c","contributors":{"authors":[{"text":"Smail, Tobin tsmail@usgs.gov","contributorId":3408,"corporation":false,"usgs":true,"family":"Smail","given":"Tobin","email":"tsmail@usgs.gov","affiliations":[],"preferred":true,"id":717654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Charley chmartin@usgs.gov","contributorId":4544,"corporation":false,"usgs":true,"family":"Martin","given":"Charley","email":"chmartin@usgs.gov","affiliations":[],"preferred":true,"id":717653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Napoli, Jim","contributorId":198933,"corporation":false,"usgs":false,"family":"Napoli","given":"Jim","affiliations":[],"preferred":false,"id":717655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193893,"text":"70193893 - 2011 - Quantifying greenhouse gas emissions from coal fires using airborne and ground-based methods","interactions":[],"lastModifiedDate":"2017-11-08T12:48:19","indexId":"70193893","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying greenhouse gas emissions from coal fires using airborne and ground-based methods","docAbstract":"<p>Coal fires occur in all coal-bearing regions of the world and number, conservatively, in the thousands. These fires emit a variety of compounds including greenhouse gases. However, the magnitude of the contribution of combustion gases from coal fires to the environment is highly uncertain, because adequate data and methods for assessing emissions are lacking. This study demonstrates the ability to estimate CO<sub>2</sub> and CH<sub>4</sub> emissions for the Welch Ranch coal fire, Powder River Basin, Wyoming, USA, using two independent methods: (a) heat flux calculated from aerial thermal infrared imaging (3.7–4.4&nbsp;t&nbsp;d<sup>−1</sup> of CO<sub>2</sub> equivalent emissions) and (b) direct, ground-based measurements (7.3–9.5&nbsp;t&nbsp;d<sup>−1</sup> of CO<sub>2</sub> equivalent emissions). Both approaches offer the potential for conducting inventories of coal fires to assess their gas emissions and to evaluate and prioritize fires for mitigation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2011.09.003","usgsCitation":"Engle, M.A., Radke, L.F., Heffern, E.L., O’Keefe, J.M., Smeltzer, C., Hower, J., Hower, J.M., Prakash, A., Kolker, A., Eatwell, R.J., ter Schure, A., Queen, G., Aggen, K.L., Stracher, G.B., Henke, K., Olea, R.A., and Roman-Colon, Y., 2011, Quantifying greenhouse gas emissions from coal fires using airborne and ground-based methods: International Journal of Coal Geology, v. 88, no. 2-3, p. 147-151, https://doi.org/10.1016/j.coal.2011.09.003.","productDescription":"5 p.","startPage":"147","endPage":"151","ipdsId":"IP-017535","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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Washington-Seattle","active":true,"usgs":false},{"id":35691,"text":"Airborne Research Consultants, Saunderstown, RI","active":true,"usgs":false}],"preferred":false,"id":721060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heffern, Edward L.","contributorId":200116,"corporation":false,"usgs":false,"family":"Heffern","given":"Edward","email":"","middleInitial":"L.","affiliations":[{"id":16722,"text":"US Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":721057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Keefe, Jennifer M.K.","contributorId":200117,"corporation":false,"usgs":false,"family":"O’Keefe","given":"Jennifer","email":"","middleInitial":"M.K.","affiliations":[{"id":35685,"text":"Morehead State University, Morehead, KY","active":true,"usgs":false}],"preferred":false,"id":721059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smeltzer, 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KY","active":true,"usgs":false}],"preferred":false,"id":721069,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":139555,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":721056,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Roman-Colon, Yomayara","contributorId":200127,"corporation":false,"usgs":true,"family":"Roman-Colon","given":"Yomayara","email":"","affiliations":[{"id":30754,"text":"USGS, Reston, VA","active":true,"usgs":false}],"preferred":false,"id":721070,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70034904,"text":"70034904 - 2011 - Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","interactions":[],"lastModifiedDate":"2021-03-08T21:03:51.911092","indexId":"70034904","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","docAbstract":"<p><span>The broad physical and biological principles behind climate change and its potential large scale ecological impacts on biota are fairly well understood, although likely responses of biotic communities at fine spatio-temporal scales are not, limiting the ability of conservation programs to respond effectively to climate change outside the range of human experience. Much of the climate debate has focused on attempts to resolve key uncertainties in a hypothesis-testing framework. However, conservation decisions cannot await resolution of these scientific issues and instead must proceed in the face of uncertainty. We suggest that conservation should precede in an adaptive management framework, in which decisions are guided by predictions under multiple, plausible hypotheses about climate impacts. Under this plan, monitoring is used to evaluate the response of the system to climate drivers, and management actions (perhaps experimental) are used to confront testable predictions with data, in turn providing feedback for future decision making. We illustrate these principles with the problem of mitigating the effects of climate change on terrestrial bird communities in the southern Appalachian Mountains, USA.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.10.019","issn":"00063207","usgsCitation":"Conroy, M., Runge, M.C., Nichols, J.D., Stodola, K., and Cooper, R., 2011, Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty: Biological Conservation, v. 144, no. 4, p. 1204-1213, https://doi.org/10.1016/j.biocon.2010.10.019.","productDescription":"10 p.","startPage":"1204","endPage":"1213","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":243835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215996,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.10.019"}],"country":"United States","otherGeospatial":"Southern Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.4296875,\n              35.02999636902566\n            ],\n            [\n              -82.96875,\n              33.211116472416855\n            ],\n            [\n              -75.76171875,\n              41.31082388091818\n            ],\n            [\n              -75.146484375,\n              42.87596410238256\n            ],\n            [\n              -78.662109375,\n              43.068887774169625\n            ],\n            [\n              -83.84765625,\n              37.37015718405753\n            ],\n            [\n              -85.4296875,\n              35.02999636902566\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9dde4b0c8380cd4d815","contributors":{"authors":[{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":448250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, K.W.","contributorId":19804,"corporation":false,"usgs":true,"family":"Stodola","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":448248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, R.J.","contributorId":89077,"corporation":false,"usgs":true,"family":"Cooper","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":448251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034522,"text":"70034522 - 2011 - Time-lapse three-dimensional inversion of complex conductivity data using an active time constrained (ATC) approach","interactions":[],"lastModifiedDate":"2021-04-19T16:04:54.788454","indexId":"70034522","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Time-lapse three-dimensional inversion of complex conductivity data using an active time constrained (ATC) approach","docAbstract":"<p><span>Induced polarization (more precisely the magnitude and phase of impedance of the subsurface) is measured using a network of electrodes located at the ground surface or in boreholes. This method yields important information related to the distribution of permeability and contaminants in the shallow subsurface. We propose a new time-lapse 3-D modelling and inversion algorithm to image the evolution of complex conductivity over time. We discretize the subsurface using hexahedron cells. Each cell is assigned a complex resistivity or conductivity value. Using the finite-element approach, we model the in-phase and out-of-phase (quadrature) electrical potentials on the 3-D grid, which are then transformed into apparent complex resistivity. Inhomogeneous Dirichlet boundary conditions are used at the boundary of the domain. The calculation of the Jacobian matrix is based on the principles of reciprocity. The goal of time-lapse inversion is to determine the change in the complex resistivity of each cell of the spatial grid as a function of time. Each model along the time axis is called a ‘reference space model’. This approach can be simplified into an inverse problem looking for the optimum of several reference space models using the approximation that the material properties vary linearly in time between two subsequent reference models. Regularizations in both space domain and time domain reduce inversion artefacts and improve the stability of the inversion problem. In addition, the use of the time-lapse equations allows the simultaneous inversion of data obtained at different times in just one inversion step (4-D inversion). The advantages of this new inversion algorithm are demonstrated on synthetic time-lapse data resulting from the simulation of a salt tracer test in a heterogeneous random material described by an anisotropic semi-variogram.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-246X.2011.05156.x","issn":"0956540X","usgsCitation":"Karaoulis, M., Revil, A., Werkema, D., Minsley, B., Woodruff, W., and Kemna, A., 2011, Time-lapse three-dimensional inversion of complex conductivity data using an active time constrained (ATC) approach: Geophysical Journal International, v. 187, no. 1, p. 237-251, https://doi.org/10.1111/j.1365-246X.2011.05156.x.","productDescription":"15 p.","startPage":"237","endPage":"251","costCenters":[],"links":[{"id":475212,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-00680765","text":"External Repository"},{"id":243812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215974,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05156.x"}],"volume":"187","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-17","publicationStatus":"PW","scienceBaseUri":"505bb3c8e4b08c986b325fc2","contributors":{"authors":[{"text":"Karaoulis, M.","contributorId":77762,"corporation":false,"usgs":true,"family":"Karaoulis","given":"M.","email":"","affiliations":[],"preferred":false,"id":446196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revil, A.","contributorId":49627,"corporation":false,"usgs":true,"family":"Revil","given":"A.","affiliations":[],"preferred":false,"id":446191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werkema, D.D.","contributorId":60021,"corporation":false,"usgs":true,"family":"Werkema","given":"D.D.","affiliations":[],"preferred":false,"id":446194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, B. J.","contributorId":52107,"corporation":false,"usgs":true,"family":"Minsley","given":"B. J.","affiliations":[],"preferred":false,"id":446193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodruff, W.F.","contributorId":49628,"corporation":false,"usgs":true,"family":"Woodruff","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":446192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemna, A.","contributorId":72223,"corporation":false,"usgs":true,"family":"Kemna","given":"A.","email":"","affiliations":[],"preferred":false,"id":446195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034337,"text":"70034337 - 2011 - Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method","interactions":[],"lastModifiedDate":"2018-05-25T13:10:53","indexId":"70034337","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method","docAbstract":"<p><span>Closed- and open-path methane gas analyzers are used in eddy covariance systems to compare three potential methane emitting ecosystems in the Sacramento-San Joaquin Delta (CA, USA): a rice field, a peatland pasture and a restored wetland. The study points out similarities and differences of the systems in field experiments and data processing. The closed-path system, despite a less intrusive placement with the sonic anemometer, required more care and power. In contrast, the open-path system appears more versatile for a remote and unattended experimental site. Overall, the two systems have comparable minimum detectable limits, but synchronization between wind speed and methane data, air density corrections and spectral losses have different impacts on the computed flux covariances. For the closed-path analyzer, air density effects are less important, but the synchronization and spectral losses may represent a problem when fluxes are small or when an undersized pump is used. For the open-path analyzer air density corrections are greater, due to spectroscopy effects and the classic Webb–Pearman–Leuning correction. Comparison between the 30-min fluxes reveals good agreement in terms of magnitudes between open-path and closed-path flux systems. However, the scatter is large, as consequence of the intensive data processing which both systems require.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2011.05.014","issn":"01681923","usgsCitation":"Detto, M., Verfaillie, J., Anderson, F., Xu, L., and Baldocchi, D., 2011, Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method: Agricultural and Forest Meteorology, v. 151, no. 10, p. 1312-1324, https://doi.org/10.1016/j.agrformet.2011.05.014.","productDescription":"13 p.","startPage":"1312","endPage":"1324","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":244404,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216527,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agrformet.2011.05.014"}],"volume":"151","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f835e4b0c8380cd4cf42","contributors":{"authors":[{"text":"Detto, Matteo","contributorId":167491,"corporation":false,"usgs":false,"family":"Detto","given":"Matteo","email":"","affiliations":[{"id":12671,"text":"Smithsonian Tropical Research Institute","active":true,"usgs":false}],"preferred":false,"id":445302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verfaillie, Joseph","contributorId":167496,"corporation":false,"usgs":false,"family":"Verfaillie","given":"Joseph","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":445298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Frank 0000-0002-1418-4678 fanders@usgs.gov","orcid":"https://orcid.org/0000-0002-1418-4678","contributorId":167488,"corporation":false,"usgs":true,"family":"Anderson","given":"Frank","email":"fanders@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":445299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Liukang","contributorId":205221,"corporation":false,"usgs":false,"family":"Xu","given":"Liukang","email":"","affiliations":[],"preferred":false,"id":445301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldocchi, Dennis 0000-0003-3496-4919","orcid":"https://orcid.org/0000-0003-3496-4919","contributorId":167495,"corporation":false,"usgs":false,"family":"Baldocchi","given":"Dennis","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":445300,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034339,"text":"70034339 - 2011 - Where the wild things are: Predicting hotspots of seabird aggregations in the California Current System","interactions":[],"lastModifiedDate":"2021-04-22T15:49:26.236168","indexId":"70034339","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Where the wild things are: Predicting hotspots of seabird aggregations in the California Current System","docAbstract":"<p><span>Marine Protected Areas (MPAs) provide an important tool for conservation of marine ecosystems. To be most effective, these areas should be strategically located in a manner that supports ecosystem function. To inform marine spatial planning and support strategic establishment of MPAs within the California Current System, we identified areas predicted to support multispecies aggregations of seabirds (“hotspots”). We developed habitat‐association models for 16 species using information from at‐sea observations collected over an 11‐year period (1997–2008), bathymetric data, and remotely sensed oceanographic data for an area from north of Vancouver Island, Canada, to the USA/Mexico border and seaward 600 km from the coast. This approach enabled us to predict distribution and abundance of seabirds even in areas of few or no surveys. We developed single‐species predictive models using a machine‐learning algorithm: bagged decision trees. Single‐species predictions were then combined to identify potential hotspots of seabird aggregation, using three criteria: (1) overall abundance among species, (2) importance of specific areas (“core areas”) to individual species, and (3) predicted persistence of hotspots across years. Model predictions were applied to the entire California Current for four seasons (represented by February, May, July, and October) in each of 11 years. Overall, bathymetric variables were often important predictive variables, whereas oceanographic variables derived from remotely sensed data were generally less important. Predicted hotspots often aligned with currently protected areas (e.g., National Marine Sanctuaries), but we also identified potential hotspots in Northern California/Southern Oregon (from Cape Mendocino to Heceta Bank), Southern California (adjacent to the Channel Islands), and adjacent to Vancouver Island, British Columbia, that are not currently included in protected areas. Prioritization and identification of multispecies hotspots will depend on which group of species is of highest management priority. Modeling hotspots at a broad spatial scale can contribute to MPA site selection, particularly if complemented by fine‐scale information for focal areas.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1460.1","issn":"10510761","usgsCitation":"Nur, N., Jahncke, J., Herzog, M., Howar, J., Hyrenbach, K., Zamon, J., Ainley, D., Wiens, J.A., Morgan, K., Balance, L., and Stralberg, D., 2011, Where the wild things are: Predicting hotspots of seabird aggregations in the California Current System: Ecological Applications, v. 21, no. 6, p. 2241-2257, https://doi.org/10.1890/10-1460.1.","productDescription":"17 p.","startPage":"2241","endPage":"2257","costCenters":[],"links":[{"id":244467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1460.1"}],"country":"United States","state":"California","otherGeospatial":"California Current system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -131.1328125,\n              46.255846818480315\n            ],\n            [\n              -147.3046875,\n              46.195042108660154\n            ],\n            [\n              -147.48046875,\n              26.667095801104814\n            ],\n            [\n              -115.400390625,\n              27.916766641249065\n            ],\n            [\n              -118.125,\n              32.84267363195431\n            ],\n            [\n              -121.46484375,\n              34.813803317113155\n            ],\n            [\n              -124.892578125,\n              39.30029918615029\n            ],\n            [\n              -125.068359375,\n              42.293564192170095\n            ],\n            [\n              -124.18945312500001,\n              46.01222384063236\n            ],\n            [\n              -131.1328125,\n              46.255846818480315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd05fe4b08c986b32edff","contributors":{"authors":[{"text":"Nur, N.","contributorId":13576,"corporation":false,"usgs":true,"family":"Nur","given":"N.","email":"","affiliations":[],"preferred":false,"id":445307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahncke, J.","contributorId":74192,"corporation":false,"usgs":true,"family":"Jahncke","given":"J.","affiliations":[],"preferred":false,"id":445314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, M.P.","contributorId":37865,"corporation":false,"usgs":true,"family":"Herzog","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":445310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howar, J.","contributorId":66940,"corporation":false,"usgs":true,"family":"Howar","given":"J.","email":"","affiliations":[],"preferred":false,"id":445313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyrenbach, K.D.","contributorId":87394,"corporation":false,"usgs":true,"family":"Hyrenbach","given":"K.D.","affiliations":[],"preferred":false,"id":445316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zamon, J.E.","contributorId":8697,"corporation":false,"usgs":true,"family":"Zamon","given":"J.E.","affiliations":[],"preferred":false,"id":445306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ainley, D. G.","contributorId":77870,"corporation":false,"usgs":false,"family":"Ainley","given":"D. G.","affiliations":[],"preferred":false,"id":445315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiens, J. A.","contributorId":43453,"corporation":false,"usgs":false,"family":"Wiens","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445311,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morgan, K.","contributorId":18556,"corporation":false,"usgs":true,"family":"Morgan","given":"K.","affiliations":[],"preferred":false,"id":445308,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Balance, L.T.","contributorId":55239,"corporation":false,"usgs":true,"family":"Balance","given":"L.T.","email":"","affiliations":[],"preferred":false,"id":445312,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stralberg, D.","contributorId":19807,"corporation":false,"usgs":true,"family":"Stralberg","given":"D.","affiliations":[],"preferred":false,"id":445309,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034376,"text":"70034376 - 2011 - Comparison of two methods used to model shape parameters of Pareto distributions","interactions":[],"lastModifiedDate":"2021-04-22T12:04:15.361576","indexId":"70034376","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of two methods used to model shape parameters of Pareto distributions","docAbstract":"<p><span>Two methods are compared for estimating the shape parameters of Pareto field-size (or pool-size) distributions for petroleum resource assessment. Both methods assume mature exploration in which most of the larger fields have been discovered. Both methods use the sizes of larger discovered fields to estimate the numbers and sizes of smaller fields: (1)&nbsp;the tail-truncated method uses a plot of field size versus size rank, and (2)&nbsp;the log–geometric method uses data binned in field-size classes and the ratios of adjacent bin counts. Simulation experiments were conducted using discovered oil and gas pool-size distributions from four petroleum systems in Alberta, Canada and using Pareto distributions generated by Monte Carlo simulation. The estimates of the shape parameters of the Pareto distributions, calculated by both the tail-truncated and log–geometric methods, generally stabilize where discovered pool numbers are greater than 100. However, with fewer than 100 discoveries, these estimates can vary greatly with each new discovery. The estimated shape parameters of the tail-truncated method are more stable and larger than those of the log–geometric method where the number of discovered pools is more than 100. Both methods, however, tend to underestimate the shape parameter. Monte Carlo simulation was also used to create sequences of discovered pool sizes by sampling from a Pareto distribution with a discovery process model using a defined exploration efficiency (in order to show how biased the sampling was in favor of larger fields being discovered first). A&nbsp;higher (more biased) exploration efficiency gives better estimates of the Pareto shape parameters.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11004-011-9361-6","issn":"18748961","usgsCitation":"Liu, C., Charpentier, R., and Su, J., 2011, Comparison of two methods used to model shape parameters of Pareto distributions: Mathematical Geosciences, v. 43, no. 7, p. 847-859, https://doi.org/10.1007/s11004-011-9361-6.","productDescription":"13 p.","startPage":"847","endPage":"859","costCenters":[],"links":[{"id":244528,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-09-17","publicationStatus":"PW","scienceBaseUri":"5059f848e4b0c8380cd4cfc0","contributors":{"authors":[{"text":"Liu, C.","contributorId":67755,"corporation":false,"usgs":true,"family":"Liu","given":"C.","affiliations":[],"preferred":false,"id":445493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charpentier, Ronald R.","contributorId":33674,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","affiliations":[],"preferred":false,"id":445491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Su, J.","contributorId":39187,"corporation":false,"usgs":true,"family":"Su","given":"J.","email":"","affiliations":[],"preferred":false,"id":445492,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034350,"text":"70034350 - 2011 - The bioinvasion of Guam: inferring geographic origin, pace, pattern and process of an invasive lizard (Carlia) in the Pacific using multi-locus genomic data","interactions":[],"lastModifiedDate":"2014-02-25T15:08:45","indexId":"70034350","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The bioinvasion of Guam: inferring geographic origin, pace, pattern and process of an invasive lizard (Carlia) in the Pacific using multi-locus genomic data","docAbstract":"Invasive species often have dramatic negative effects that lead to the deterioration and loss of biodiversity frequently coupled with the burden of expensive biocontrol programs and subversion of socioeconomic stability. The fauna and flora of oceanic islands are particularly susceptible to invasive species and the increase of global movements of humans and their products since WW II has caused numerous anthropogenic translocations and increased the ills of human-mediated invasions. We use a multi-locus genomic dataset to identify geographic origin, pace, pattern and historical process of an invasive scincid lizard (Carlia) that has been inadvertently introduced to Guam, the Northern Marianas, and Palau. This lizard is of major importance as its introduction is thought to have assisted in the establishment of the invasive brown treesnake (Boiga irregularis) on Guam by providing a food resource. Our findings demonstrate multiple waves of introductions that appear to be concordant with movements of Allied and Imperial Japanese forces in the Pacific during World War II.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10530-011-0014-y","issn":"13873547","usgsCitation":"Austin, C., Rittmeyer, E., Oliver, L., Andermann, J., Zug, G., Rodda, G., and Jackson, N., 2011, The bioinvasion of Guam: inferring geographic origin, pace, pattern and process of an invasive lizard (Carlia) in the Pacific using multi-locus genomic data: Biological Invasions, v. 13, no. 9, p. 1951-1967, https://doi.org/10.1007/s10530-011-0014-y.","startPage":"1951","endPage":"1967","numberOfPages":"17","costCenters":[],"links":[{"id":216738,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-011-0014-y"},{"id":244624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-22","publicationStatus":"PW","scienceBaseUri":"505ba9eae4b08c986b3225d9","contributors":{"authors":[{"text":"Austin, C.C.","contributorId":85550,"corporation":false,"usgs":true,"family":"Austin","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":445361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittmeyer, E.N.","contributorId":22173,"corporation":false,"usgs":true,"family":"Rittmeyer","given":"E.N.","affiliations":[],"preferred":false,"id":445359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, L.A.","contributorId":87783,"corporation":false,"usgs":true,"family":"Oliver","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":445362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andermann, J.O.","contributorId":88180,"corporation":false,"usgs":true,"family":"Andermann","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":445363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zug, G.R.","contributorId":72743,"corporation":false,"usgs":true,"family":"Zug","given":"G.R.","affiliations":[],"preferred":false,"id":445360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":445364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, N.D.","contributorId":17852,"corporation":false,"usgs":true,"family":"Jackson","given":"N.D.","email":"","affiliations":[],"preferred":false,"id":445358,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032302,"text":"70032302 - 2011 - Data logging of body temperatures provides precise information on phenology of reproductive events in a free-living arctic hibernator","interactions":[],"lastModifiedDate":"2018-08-19T20:03:39","indexId":"70032302","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2226,"text":"Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Data logging of body temperatures provides precise information on phenology of reproductive events in a free-living arctic hibernator","docAbstract":"<p class=\"Para\">Precise measures of phenology are critical to understanding how animals organize their annual cycles and how individuals and populations respond to climate-induced changes in physical and ecological stressors. We show that patterns of core body temperature (<i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub>) can be used to precisely determine the timing of key seasonal events including hibernation, mating and parturition, and immergence and emergence from the hibernacula in free-living arctic ground squirrels (<i class=\"EmphasisTypeItalic \">Urocitellus parryii</i>). Using temperature loggers that recorded <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub> every 20&nbsp;min for up to 18&nbsp;months, we monitored core <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub> from three females that subsequently gave birth in captivity and from 66 female and 57 male ground squirrels free-living in the northern foothills of the Brooks Range Alaska. In addition, dates of emergence from hibernation were visually confirmed for four free-living male squirrels. Average <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub> in captive females decreased by 0.5–1.0°C during gestation and abruptly increased by 1–1.5°C on the day of parturition. In free-living females, similar shifts in <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub> were observed in 78% (<i class=\"EmphasisTypeItalic \">n</i>&nbsp;=&nbsp;9) of yearlings and 94% (<i class=\"EmphasisTypeItalic \">n</i>&nbsp;=&nbsp;31) of adults; females without the shift are assumed not to have given birth. Three of four ground squirrels for which dates of emergence from hibernation were visually confirmed did not exhibit obvious diurnal rhythms in <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub> until they first emerged onto the surface when <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub> patterns became diurnal. In free-living males undergoing reproductive maturation, this pre-emergence euthermic interval averaged 20.4&nbsp;days (<i class=\"EmphasisTypeItalic \">n</i>&nbsp;=&nbsp;56). <i class=\"EmphasisTypeItalic \">T</i> <sub>b</sub>-loggers represent a cost-effective and logistically feasible method to precisely investigate the phenology of reproduction and hibernation in ground squirrels.</p><div class=\"KeywordGroup\" lang=\"en\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s00360-011-0593-z","issn":"01741578","usgsCitation":"Williams, C.T., Sheriff, M., Schmutz, J.A., Kohl, F., Toien, O., Buck, C., and Barnes, B., 2011, Data logging of body temperatures provides precise information on phenology of reproductive events in a free-living arctic hibernator: Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology, v. 181, no. 8, p. 1101-1109, https://doi.org/10.1007/s00360-011-0593-z.","productDescription":"9 p.","startPage":"1101","endPage":"1109","numberOfPages":"9","costCenters":[],"links":[{"id":242810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-06-21","publicationStatus":"PW","scienceBaseUri":"5059fd88e4b0c8380cd4e883","contributors":{"authors":[{"text":"Williams, C. T.","contributorId":90950,"corporation":false,"usgs":true,"family":"Williams","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":435514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheriff, M.J.","contributorId":92880,"corporation":false,"usgs":true,"family":"Sheriff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":435515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":435510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kohl, F.","contributorId":38378,"corporation":false,"usgs":true,"family":"Kohl","given":"F.","email":"","affiliations":[],"preferred":false,"id":435513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toien, O.","contributorId":20564,"corporation":false,"usgs":true,"family":"Toien","given":"O.","email":"","affiliations":[],"preferred":false,"id":435511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buck, C.L.","contributorId":11432,"corporation":false,"usgs":true,"family":"Buck","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":435509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnes, B.M.","contributorId":30839,"corporation":false,"usgs":true,"family":"Barnes","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":435512,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032325,"text":"70032325 - 2011 - The distribution and abundance of a nuisance native alga, Didymosphen Didymosphenia geminata, in streams of Glacier National Park: Climate drivers and management implications","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032325","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"The distribution and abundance of a nuisance native alga, Didymosphen Didymosphenia geminata, in streams of Glacier National Park: Climate drivers and management implications","docAbstract":"Didymosphenia geminata (didymo) is a freshwater alga native to North America, including Glacier National Park, Montana. It has long been considered a cold-water species, but has recently spread to lower latitudes and warmer waters, and increasingly forms large blooms that cover streambeds. We used a comprehensive monitoring data set from the National Park Service (NPS) and USGS models of stream temperatures to explore the drivers of didymo abundance in Glacier National Park. We estimate that approximately 64% of the stream length in the park contains didymo, with around 5% in a bloom state. Results suggest that didymo abundance likely increased over the study period (2007-2009), with blooms becoming more common. Our models suggest that didymo abundance is positively related to summer stream temperatures and negatively related to total nitrogen and the distance downstream from lakes. Regional climate model simulations indicate that stream temperatures in the park will likely continue to increase over the coming decades, which may increase the extent and severity of didymo blooms. As a result, didymo may be a useful indicator of thermal and hydrological modification associated with climate warming, especially in a relatively pristine system like Glacier where proximate human-related disturbances are absent or reduced. Glacier National Park plays an important role as a sentinel for climate change and associated education across the Rocky Mountain region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Park Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"07359462","usgsCitation":"William, S.E., Ashton, I., Muhlfeld, C., Jones, L., and Bahls, L., 2011, The distribution and abundance of a nuisance native alga, Didymosphen Didymosphenia geminata, in streams of Glacier National Park: Climate drivers and management implications: Park Science, v. 28, no. 2.","costCenters":[],"links":[{"id":242646,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baacae4b08c986b3229f3","contributors":{"authors":[{"text":"William, Schweiger E.","contributorId":60463,"corporation":false,"usgs":true,"family":"William","given":"Schweiger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, I.W.","contributorId":101900,"corporation":false,"usgs":true,"family":"Ashton","given":"I.W.","email":"","affiliations":[],"preferred":false,"id":435620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhlfeld, C.C.","contributorId":97850,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"C.C.","affiliations":[],"preferred":false,"id":435619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, L.A.","contributorId":38794,"corporation":false,"usgs":true,"family":"Jones","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":435617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bahls, L.L.","contributorId":36208,"corporation":false,"usgs":true,"family":"Bahls","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":435616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032334,"text":"70032334 - 2011 - Monitoring the Earthquake source process in North America","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032334","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the Earthquake source process in North America","docAbstract":"With the implementation of the USGS National Earthquake Information Center Prompt Assessment of Global Earthquakes for Response system (PAGER), rapid determination of earthquake moment magnitude is essential, especially for earthquakes that are felt within the contiguous United States. We report an implementation of moment tensor processing for application to broad, seismically active areas of North America. This effort focuses on the selection of regional crustal velocity models, codification of data quality tests, and the development of procedures for rapid computation of the seismic moment tensor. We systematically apply these techniques to earthquakes with reported magnitude greater than 3.5 in continental North America that are not associated with a tectonic plate boundary. Using the 0.02-0.10 Hz passband, we can usually determine, with few exceptions, moment tensor solutions for earthquakes with M  w as small as 3.7. The threshold is significantly influenced by the density of stations, the location of the earthquake relative to the seismic stations and, of course, the signal-to-noise ratio. With the existing permanent broadband stations in North America operated for rapid earthquake response, the seismic moment tensor of most earthquakes that are M  w 4 or larger can be routinely computed. As expected the nonuniform spatial pattern of these solutions reflects the seismicity pattern. However, the orientation of the direction of maximum compressive stress and the predominant style of faulting is spatially coherent across large regions of the continent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120110095","issn":"00371106","usgsCitation":"Herrmann, R., Benz, H., and Ammon, C., 2011, Monitoring the Earthquake source process in North America: Bulletin of the Seismological Society of America, v. 101, no. 6, p. 2609-2625, https://doi.org/10.1785/0120110095.","startPage":"2609","endPage":"2625","numberOfPages":"17","costCenters":[],"links":[{"id":215015,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110095"},{"id":242780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a5de4e4b0c8380cd70679","contributors":{"authors":[{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":435655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, H.","contributorId":61953,"corporation":false,"usgs":true,"family":"Benz","given":"H.","email":"","affiliations":[],"preferred":false,"id":435654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ammon, C.J.","contributorId":28389,"corporation":false,"usgs":true,"family":"Ammon","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":435653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}