Static Coulomb stress changes imparted by the February 21, 2008 Wells, Nevada earthquake are calculated, using an 8 x 6 km rectangular patch with a uniform slip as a source fault. Stress changes are resolved on nearby active faults using their rake, dip, and strike direction, assuming a fault friction of 0.4. The largest Coulomb stress increase (0.2 bars) imparted to surrounding major active faults from the Wells earthquake occurs on the Clover Hill fault, which may be the southern continuation of the ruptured fault. A 0.1 bar Coulomb stress increase is calculated on the western Snake Mountains fault. Coulomb stress decreases of 0.5 bars are calculated for the northern parts of the Independence and Ruby Mountains faults. The Coulomb stress change is calculated on relocated aftershocks assuming that they have the same strike, dip, and rake, as the source fault. Under this assumption, 75% of the aftershocks received a Coulomb stress increase.
","language":"English","publisher":"Nevada Bureau of Mines and Geology","usgsCitation":"Sevilgen, V., 2011, Coulomb stress analysis of the 21 February 2008 Mw= 6.0 Wells, Nevada, earthquake: Nevada Bureau of Mines and Geology Special Publication 36, 8 p.","productDescription":"8 p.","startPage":"197","endPage":"204","ipdsId":"IP-012017","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":349558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fee4b06e28e9c25644","contributors":{"authors":[{"text":"Sevilgen, Volkan vsevilgen@usgs.gov","contributorId":3254,"corporation":false,"usgs":true,"family":"Sevilgen","given":"Volkan","email":"vsevilgen@usgs.gov","affiliations":[],"preferred":true,"id":714841,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70033963,"text":"70033963 - 2011 - Numerical modeling of the impact of sea-level rise on fringing coral reef hydrodynamics and sediment transport","interactions":[],"lastModifiedDate":"2013-03-05T11:51:55","indexId":"70033963","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of the impact of sea-level rise on fringing coral reef hydrodynamics and sediment transport","docAbstract":"Most climate projections suggest that sea level may rise on the order of 0.5-1.0 m by 2100; it is not clear, however, how fluid flow and sediment dynamics on exposed fringing reefs might change in response to this rapid sea-level rise. Coupled hydrodynamic and sediment-transport numerical modeling is consistent with recent published results that suggest that an increase in water depth on the order of 0.5-1.0 m on a 1-2 m deep exposed fringing reef flat would result in larger significant wave heights and setup, further elevating water depths on the reef flat. Larger waves would generate higher near-bed shear stresses, which, in turn, would result in an increase in both the size and the quantity of sediment that can be resuspended from the seabed or eroded from adjacent coastal plain deposits. Greater wave- and wind-driven currents would develop with increasing water depth, increasing the alongshore and offshore flux of water and sediment from the inner reef flat to the outer reef flat and fore reef where coral growth is typically greatest. Sediment residence time on the fringing reef flat was modeled to decrease exponentially with increasing sea-level rise as the magnitude of sea-level rise approached the mean water depth over the reef flat. The model results presented here suggest that a 0.5-1.0 m rise in sea level will likely increase coastal erosion, mixing and circulation, the amount of sediment resuspended, and the duration of high turbidity on exposed reef flats, resulting in decreased light availability for photosynthesis, increased sediment-induced stress on the reef ecosystem, and potentially affecting a number of other ecological processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coral Reefs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00338-011-0723-9","issn":"07224028","usgsCitation":"Storlazzi, C., Elias, E., Field, M., and Presto, M., 2011, Numerical modeling of the impact of sea-level rise on fringing coral reef hydrodynamics and sediment transport: Coral Reefs, v. 30, no. SUPPL. 1, p. 83-96, https://doi.org/10.1007/s00338-011-0723-9.","startPage":"83","endPage":"96","numberOfPages":"14","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475251,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-011-0723-9","text":"Publisher Index Page"},{"id":216745,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-011-0723-9"},{"id":244631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationDate":"2011-01-25","publicationStatus":"PW","scienceBaseUri":"505a68fde4b0c8380cd73ae2","contributors":{"authors":[{"text":"Storlazzi, C. D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":98905,"corporation":false,"usgs":true,"family":"Storlazzi","given":"C. D.","affiliations":[],"preferred":false,"id":443428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, E.","contributorId":17832,"corporation":false,"usgs":true,"family":"Elias","given":"E.","affiliations":[],"preferred":false,"id":443425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, M.E.","contributorId":27052,"corporation":false,"usgs":true,"family":"Field","given":"M.E.","affiliations":[],"preferred":false,"id":443426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Presto, M.K.","contributorId":77333,"corporation":false,"usgs":true,"family":"Presto","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":443427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034597,"text":"70034597 - 2011 - Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty","interactions":[],"lastModifiedDate":"2021-04-16T16:05:36.421892","indexId":"70034597","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty","docAbstract":"Aim To identify whether eradication or containment is expected to be the most cost‐effective management goal for an isolated invasive population when knowledge about the current extent is uncertain.
Location Global and South Africa.
Methods We developed a decision analysis framework to analyse the best management goal for an invasive species population (eradication, containment or take no action) when knowledge about the current extent is uncertain. We used value of information analysis to identify when investment in learning about the extent will improve this decision‐making and tested the sensitivity of the conclusions to different parameters (e.g. spread rate, maximum extent, and management efficacy and cost). The model was applied to Acacia paradoxa DC, an Australian shrub with an estimated invasive extent of 310 ha on Table Mountain, South Africa.
Results Under the parameters used, attempting eradication is cost‐effective for infestations of up to 777 ha. However, if the invasion extent is poorly known, then attempting eradication is only cost‐effective for infestations estimated as 296 ha or smaller. The value of learning is greatest (maximum of 8% saving) when infestation extent is poorly known and if it is close to the maximum extent for which attempting eradication is optimal. The optimal management action is most sensitive to the probability that the action succeeds (which depends on the extent), with the discount rate and cost of management also important, but spread rate less so. Over a 20‐year time‐horizon, attempting to eradicate A. paradoxa from South Africa is predicted to cost on average ZAR 8 million if the extent is known, and if our current estimate is poor, ZAR 33.6 million as opposed to ZAR 32.8 million for attempting containment.
Main conclusions Our framework evaluates the cost‐effectiveness of attempting eradication or containment of an invasive population that takes uncertainty in population extent into account. We show that incorporating uncertainty in the analysis avoids overly optimistic beliefs about the effectiveness of management enabling better management decisions. For A. paradoxa in South Africa, attempting to eradicate is likely to be cost‐effective, particularly if resources are allocated to better understand and improve management efficacy
","language":"English","publisher":"Wiley","doi":"10.1111/j.1472-4642.2011.00809.x","issn":"13669516","usgsCitation":"Moore, J., Runge, M., Webber, B., and Wilson, J., 2011, Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty: Diversity and Distributions, v. 17, no. 5, p. 1047-1059, https://doi.org/10.1111/j.1472-4642.2011.00809.x.","productDescription":"13 p.","startPage":"1047","endPage":"1059","costCenters":[],"links":[{"id":497367,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://admin.research-repository.uwa.edu.au/en/publications/4fe604be-1ef9-4ef6-873a-54379d1bd326","text":"External Repository"},{"id":243477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215658,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-4642.2011.00809.x"}],"volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5059fa2ce4b0c8380cd4d983","contributors":{"authors":[{"text":"Moore, J.L.","contributorId":29100,"corporation":false,"usgs":true,"family":"Moore","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":446565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, M.C. 0000-0002-8081-536X","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":49312,"corporation":false,"usgs":true,"family":"Runge","given":"M.C.","affiliations":[],"preferred":false,"id":446566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, B.L.","contributorId":80107,"corporation":false,"usgs":true,"family":"Webber","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":446568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, J.R.U.","contributorId":50748,"corporation":false,"usgs":true,"family":"Wilson","given":"J.R.U.","email":"","affiliations":[],"preferred":false,"id":446567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033971,"text":"70033971 - 2011 - Attempted surgical correction of single- and multiyear post-ovulatory egg stasis in yellow and red Irish lords, Hemilepidotus jordani (Bean) and Hemilepidotus hemilepidotus (Tilesius)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70033971","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Attempted surgical correction of single- and multiyear post-ovulatory egg stasis in yellow and red Irish lords, Hemilepidotus jordani (Bean) and Hemilepidotus hemilepidotus (Tilesius)","docAbstract":"[No abstract available]","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2761.2010.01214.x","issn":"01407775","usgsCitation":"Goertz, C., and Mulcahy, D., 2011, Attempted surgical correction of single- and multiyear post-ovulatory egg stasis in yellow and red Irish lords, Hemilepidotus jordani (Bean) and Hemilepidotus hemilepidotus (Tilesius): Journal of Fish Diseases, v. 34, no. 1, p. 75-79, https://doi.org/10.1111/j.1365-2761.2010.01214.x.","startPage":"75","endPage":"79","numberOfPages":"5","costCenters":[],"links":[{"id":216861,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2761.2010.01214.x"},{"id":244759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-19","publicationStatus":"PW","scienceBaseUri":"5059eecfe4b0c8380cd49fa1","contributors":{"authors":[{"text":"Goertz, C.E.C.","contributorId":69393,"corporation":false,"usgs":true,"family":"Goertz","given":"C.E.C.","email":"","affiliations":[],"preferred":false,"id":443461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulcahy, D.M.","contributorId":43302,"corporation":false,"usgs":true,"family":"Mulcahy","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":443460,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034052,"text":"70034052 - 2011 - Evidence for mechanical and chemical alteration of iron-nickel meteorites on Mars: Process insights for Meridiani Planum","interactions":[],"lastModifiedDate":"2018-11-14T16:56:09","indexId":"70034052","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for mechanical and chemical alteration of iron-nickel meteorites on Mars: Process insights for Meridiani Planum","docAbstract":"The weathering of meteorites found on Mars involves chemical and physical processes that can provide clues to climate conditions at the location of their discovery. Beginning on sol 1961, the Opportunity rover encountered three large iron meteorites within a few hundred meters of each other. In order of discovery, these rocks have been assigned the unofficial names Block Island, Shelter Island, and Mackinac Island. Each rock presents a unique but complimentary set of features that increase our understanding of weathering processes at Meridiani Planum. Significant morphologic characteristics interpretable as weathering features include (1) a large pit in Block Island, lined with delicate iron protrusions suggestive of inclusion removal by corrosive interaction; (2) differentially eroded kamacite and taenite lamellae in Block Island and Shelter Island, providing relative timing through crosscutting relationships with deposition of (3) an iron oxide-rich dark coating; (4) regmaglypted surfaces testifying to regions of minimal surface modification, with other regions in the same meteorites exhibiting (5) large-scale, cavernous weathering (in Shelter Island and Mackinac Island). We conclude that the current size of the rocks is approximate to their original postfall contours. Their morphology thus likely results from a combination of atmospheric interaction and postfall weathering effects. Among our specific findings is evidence supporting (1) at least one possible episode of aqueous acidic exposure for Block Island; (2) ripple migration over portions of the meteorites; (3) a minimum of two separate episodes of wind abrasion; alternating with (4) at least one episode of coating-forming chemical alteration, most likely at subzero temperatures.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003672","issn":"01480227","usgsCitation":"Ashley, J.W., Golombek, M., Christensen, P.R., Squyres, S.W., McCoy, T., Schroder, C., Fleischer, I., Johnson, J.R., Herkenhoff, K.E., and Parker, T.J., 2011, Evidence for mechanical and chemical alteration of iron-nickel meteorites on Mars: Process insights for Meridiani Planum: Journal of Geophysical Research E: Planets, v. 116, no. E7, 22 p., https://doi.org/10.1029/2010JE003672.","productDescription":"22 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475187,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003672","text":"Publisher Index Page"},{"id":244480,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"116","issue":"E7","noUsgsAuthors":false,"publicationDate":"2011-04-16","publicationStatus":"PW","scienceBaseUri":"505a0d49e4b0c8380cd52f14","contributors":{"authors":[{"text":"Ashley, James W.","contributorId":102523,"corporation":false,"usgs":false,"family":"Ashley","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":443832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":443826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, P. R.","contributorId":7819,"corporation":false,"usgs":false,"family":"Christensen","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":443823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":443825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, T.J.","contributorId":84883,"corporation":false,"usgs":true,"family":"McCoy","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":443831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroder, C.","contributorId":67201,"corporation":false,"usgs":true,"family":"Schroder","given":"C.","affiliations":[],"preferred":false,"id":443828,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleischer, I.","contributorId":70096,"corporation":false,"usgs":true,"family":"Fleischer","given":"I.","email":"","affiliations":[],"preferred":false,"id":443830,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":443829,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":443827,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parker, T. J.","contributorId":30776,"corporation":false,"usgs":false,"family":"Parker","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":443824,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70034647,"text":"70034647 - 2011 - Growth rates of rainbow smelt in Lake Champlain: Effects of density and diet","interactions":[],"lastModifiedDate":"2021-04-14T16:48:35.176951","indexId":"70034647","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates of rainbow smelt in Lake Champlain: Effects of density and diet","docAbstract":"We estimated the densities of rainbow smelt (Osmerus mordax) using hydroacoustics and obtained specimens for diet analysis and groundtruthed acoustics data from mid‐water trawl sampling in four areas of Lake Champlain, USA–Canada. Densities of rainbow smelt cohorts alternated during the 2‐year study; age‐0 rainbow smelt were very abundant in 2001 (up to 6 fish per m2) and age‐1 and older were abundant (up to 1.2 fish per m2) in 2002. Growth rates and densities varied among areas and years. We used model selection on eight area–year‐specific variables to investigate biologically plausible predictors of rainbow smelt growth rates. The best supported model of growth rates of age‐0 smelt indicated a negative relationship with age‐0 density, likely associated with intraspecific competition for zooplankton. The next best‐fit model had age‐1 density as a predictor of age‐0 growth. The best supported models (N = 4) of growth rates of age‐1 fish indicated a positive relationship with availability of age‐0 smelt and resulting levels of cannibalism. Other plausible models were contained variants of these parameters. Cannibalistic rainbow smelt consumed younger conspecifics that were up to 53% of their length. Prediction of population dynamics for rainbow smelt requires an understanding of the relationship between density and growth as age‐0 fish outgrow their main predators (adult smelt) by autumn in years with fast growth rates, but not in years with slow growth rates.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0633.2010.00472.x","issn":"09066691","usgsCitation":"Stritzel, T.J., Parrish, D., Parker-Stetter, S.L., Rudstam, L.G., and Sullivan, P., 2011, Growth rates of rainbow smelt in Lake Champlain: Effects of density and diet: Ecology of Freshwater Fish, v. 20, no. 4, p. 503-512, https://doi.org/10.1111/j.1600-0633.2010.00472.x.","productDescription":"10p.","startPage":"503","endPage":"512","numberOfPages":"10","costCenters":[],"links":[{"id":243758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215922,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0633.2010.00472.x"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.8446044921875,\n 43.401056495052906\n ],\n [\n -72.94921875,\n 43.401056495052906\n ],\n [\n -72.94921875,\n 45.34056313889858\n ],\n [\n -73.8446044921875,\n 45.34056313889858\n ],\n [\n -73.8446044921875,\n 43.401056495052906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-24","publicationStatus":"PW","scienceBaseUri":"505a2e06e4b0c8380cd5c233","contributors":{"authors":[{"text":"Stritzel, Thomson J.L.","contributorId":30024,"corporation":false,"usgs":true,"family":"Stritzel","given":"Thomson","email":"","middleInitial":"J.L.","affiliations":[],"preferred":false,"id":446850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, D.L.","contributorId":15144,"corporation":false,"usgs":true,"family":"Parrish","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":446848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker-Stetter, S. L.","contributorId":98136,"corporation":false,"usgs":true,"family":"Parker-Stetter","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudstam, L. G.","contributorId":24720,"corporation":false,"usgs":true,"family":"Rudstam","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":446849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, P.J.","contributorId":38762,"corporation":false,"usgs":true,"family":"Sullivan","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":446851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192332,"text":"70192332 - 2011 - Multi-scale clustering of functional data with application to hydraulic gradients in wetlands","interactions":[],"lastModifiedDate":"2017-10-25T15:06:27","indexId":"70192332","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5531,"text":"Journal of Data Science","onlineIssn":"1683-8602","printIssn":"1680-743X","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale clustering of functional data with application to hydraulic gradients in wetlands","docAbstract":"A new set of methods are developed to perform cluster analysis of functions, motivated by a data set consisting of hydraulic gradients at several locations distributed across a wetland complex. The methods build on previous work on clustering of functions, such as Tarpey and Kinateder (2003) and Hitchcock et al. (2007), but explore functions generated from an additive model decomposition (Wood, 2006) of the original time se- ries. Our decomposition targets two aspects of the series, using an adaptive smoother for the trend and circular spline for the diurnal variation in the series. Different measures for comparing locations are discussed, including a method for efficiently clustering time series that are of different lengths using a functional data approach. The complicated nature of these wetlands are highlighted by the shifting group memberships depending on which scale of variation and year of the study are considered.
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This essay discusses the calibration of models using groundwater age, with conclusions that emphasize what is practical given current limitations rather than theoretical possibilities.","language":"English, French","publisher":"Springer","doi":"10.1007/s10040-010-0637-6","issn":"14312174","usgsCitation":"Sanford, W.E., 2011, Calibration of models using groundwater age: Hydrogeology Journal, v. 19, no. 1, p. 13-16, https://doi.org/10.1007/s10040-010-0637-6.","productDescription":"4 p.","startPage":"13","endPage":"16","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-09-24","publicationStatus":"PW","scienceBaseUri":"5059f316e4b0c8380cd4b5c1","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":780677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036900,"text":"70036900 - 2011 - New information on the braincase of the North American therizinosaurian (Theropoda, Maniraptora) Falcarius utahensis","interactions":[],"lastModifiedDate":"2016-08-21T17:44:20","indexId":"70036900","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2491,"text":"Journal of Vertebrate Paleontology","active":true,"publicationSubtype":{"id":10}},"title":"New information on the braincase of the North American therizinosaurian (Theropoda, Maniraptora) Falcarius utahensis","docAbstract":"Many disarticulated bones from multiple individuals of a primitive therizinosaurian, referred to Falcarius utahensis, were found in the paucispecific Crystal Geyser bonebed in the Lower Cretaceous Cedar Mountain Formation of eastern Utah. To date, more than 2000 specimens from this species have been excavated. Included in this collection are two partial braincases, one of which is designated the holotype. Here we describe the braincase morphology ofFalcarius utahensis. These specimens help establish the primitive cranial condition for the Therizinosauria and further substantiate intraspecific and contralateral braincase pneumatic variation in theropods. When combined with new observations on the cranial remains of the therizinosaurid Nothronychus mckinleyi derived from computed tomographic (CT) scans, the braincase morphology of Falcarius clarifies several evolutionary trends within the Therizinosauria and establishes a suite of synapomorphies for the Therizinosauridae. Trends within the clade include increased basicranial pneumatization (the development of a basisphenoid bulla and loss of external subcondylar recesses), anterior deflection of the supraoccipital, and the reduction of points of origin of the craniocervical musculature, associated with the loss of discrete basipterygoid processes, probably due to incorporation of these structures into the expanded hyperpneumatic bone. Finally, CT scans reveal a complete, nearly avian, inner ear with bird-like semicircular canals and a long cochlea indicating broad frequency discrimination.
","language":"English","publisher":"University of Oklahoma","doi":"10.1080/02724634.2011.549442","issn":"02724634","usgsCitation":"Smith, D., Zanno, L.E., Sanders, R.K., Deblieux, D.D., and Kirkland, J.I., 2011, New information on the braincase of the North American therizinosaurian (Theropoda, Maniraptora) Falcarius utahensis: Journal of Vertebrate Paleontology, v. 31, no. 2, p. 387-404, https://doi.org/10.1080/02724634.2011.549442.","productDescription":"18 p.","startPage":"387","endPage":"404","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":245834,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.028076171875,\n 38.013476231041935\n ],\n [\n -110.028076171875,\n 39.07464374293249\n ],\n [\n -109.16015624999999,\n 39.07464374293249\n ],\n [\n -109.16015624999999,\n 38.013476231041935\n ],\n [\n -110.028076171875,\n 38.013476231041935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-21","publicationStatus":"PW","scienceBaseUri":"505a6593e4b0c8380cd72c25","contributors":{"authors":[{"text":"Smith, David","contributorId":56303,"corporation":false,"usgs":true,"family":"Smith","given":"David","affiliations":[],"preferred":false,"id":458397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zanno, Lindsay E.","contributorId":173913,"corporation":false,"usgs":false,"family":"Zanno","given":"Lindsay","email":"","middleInitial":"E.","affiliations":[{"id":27255,"text":"Field Museum of Natural History, Chicago, IL","active":true,"usgs":false}],"preferred":false,"id":458399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, R. 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Nitrogen was determined by using the Kjeldahl method at U. S. Geological Survey (USGS), which exhibit a normal frequency distribution. The nitrogen contents of over 90% Chinese coal vary from 0.52% to 1.41% and the average nitrogen content is recommended to be 0.98%. Nitrogen in coal exists primarily in organic form. There is a slight positive relationship between nitrogen content and coal ranking. ?? 2011 Science Press, Institute of Geochemistry, CAS and Springer Berlin Heidelberg.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chinese Journal of Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11631-011-0506-6","issn":"10009426","usgsCitation":"Wu, D., Lei, J., Zheng, B., Tang, X., Wang, M., Hu, J., Li, S., Wang, B., and Finkelman, R.B., 2011, Nitrogen in Chinese coals: Chinese Journal of Geochemistry, v. 30, no. 2, p. 248-254, https://doi.org/10.1007/s11631-011-0506-6.","startPage":"248","endPage":"254","numberOfPages":"7","costCenters":[],"links":[{"id":216748,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11631-011-0506-6"},{"id":244634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"505a66dce4b0c8380cd7302c","contributors":{"authors":[{"text":"Wu, D.","contributorId":57215,"corporation":false,"usgs":true,"family":"Wu","given":"D.","email":"","affiliations":[],"preferred":false,"id":443713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lei, J.","contributorId":14667,"corporation":false,"usgs":true,"family":"Lei","given":"J.","email":"","affiliations":[],"preferred":false,"id":443706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, B.","contributorId":51489,"corporation":false,"usgs":true,"family":"Zheng","given":"B.","email":"","affiliations":[],"preferred":false,"id":443712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tang, X.","contributorId":43082,"corporation":false,"usgs":true,"family":"Tang","given":"X.","email":"","affiliations":[],"preferred":false,"id":443711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, M.","contributorId":98810,"corporation":false,"usgs":true,"family":"Wang","given":"M.","email":"","affiliations":[],"preferred":false,"id":443714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hu, Jiawen","contributorId":41630,"corporation":false,"usgs":true,"family":"Hu","given":"Jiawen","email":"","affiliations":[],"preferred":false,"id":443709,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, S.","contributorId":41969,"corporation":false,"usgs":true,"family":"Li","given":"S.","email":"","affiliations":[],"preferred":false,"id":443710,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, B.","contributorId":29011,"corporation":false,"usgs":true,"family":"Wang","given":"B.","email":"","affiliations":[],"preferred":false,"id":443708,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finkelman, R. 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Parts of Bowie, Camp, Cass, Franklin, Henderson, Hopkins, Morris, Navarro, Rains, Titus, Van Zandt, and Wood Counties are included in this outcrop belt (Figure 1). This area forms the northwestern flank of the East Texas Basin (Figure 2), the axis of which separates northeast Texas from the Sabine uplift structural area. The Wilcox Group dips south and southeast at 2° or less toward the axis of the East Texas Basin, with the exception of local salt-dome structures and a transcurrent structural high that extends from Monticello to Martin Lake (Figure 1).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hook, R.W., Warwick, P.D., SanFilipo, J., Nichols, D.J., and Swanson, S.M., 2011, Paleocene coal deposits of the Wilcox Group, Northeast Texas, chap. 7 of Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 128-141.","productDescription":"14 p.","startPage":"128","endPage":"141","ipdsId":"IP-020034","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347495,"type":{"id":15,"text":"Index 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J.","contributorId":87184,"corporation":false,"usgs":true,"family":"Nichols","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716447,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262853,"text":"70262853 - 2011 - Geology and petroleum potential of the Eurasia Basin","interactions":[],"lastModifiedDate":"2025-01-27T16:18:28.209783","indexId":"70262853","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geology and petroleum potential of the Eurasia Basin","docAbstract":"The Eurasia Basin petroleum province comprises the younger, eastern half of the Arctic Ocean, including the Cenozoic Eurasia Basin and the outboard part of the continental margin of northern Europe. For the USGS petroleum assessment (CARA), it was divided into four assessment units (AUs): the Lena Prodelta AU, consisting of the deep-marine part of the Lena Delta; the Nansen Basin Margin AU, comprising the passive margin sequence of the Eurasian plate; and the Amundsen Basin and Nansen Basin AUs which encompass the abyssal plains north and south of the Gakkel Ridge spreading centre, respectively. The primary petroleum system thought to be present is sourced in c. 50–44 Ma (Early to Middle Eocene) condensed pelagic deposits that could be widespread in the province. Mean estimates of undiscovered, technically recoverable petroleum resources include <1 billion barrels of oil (BBO) and about 1.4 trillion cubic feet (TCF) of nonassociated gas in Lena Prodelta AU, and <0.4 BBO and 3.4 TCF nonassociated gas in the Nansen Basin Margin AU. The Nansen Basin and Amundsen Basin AUs were not quantitatively assessed because they have less than 10% probability of containing at least one accumulation of 50 MMBOE (million barrels of oil equivalent).
","largerWorkType":{"id":5,"text":"Book chapter"},"largerWorkTitle":"Arctic petroleum geology","largerWorkSubtype":{"id":24,"text":"Book Chapter"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.48","usgsCitation":"Moore, T., and Pitman, J., 2011, Geology and petroleum potential of the Eurasia Basin, chap. of Arctic petroleum geology, p. 731-750, https://doi.org/10.1144/M35.48.","productDescription":"20 p.","startPage":"731","endPage":"750","ipdsId":"IP-021868","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","contributors":{"editors":[{"text":"Spencer, Anthony M.","contributorId":349912,"corporation":false,"usgs":false,"family":"Spencer","given":"Anthony M.","affiliations":[],"preferred":false,"id":925174,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Embry, A.F.","contributorId":63253,"corporation":false,"usgs":true,"family":"Embry","given":"A.F.","email":"","affiliations":[],"preferred":false,"id":925175,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":925176,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Stoupakova, A.V.","contributorId":41270,"corporation":false,"usgs":true,"family":"Stoupakova","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":925177,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Sorenson, Kai","contributorId":11973,"corporation":false,"usgs":true,"family":"Sorenson","given":"Kai","email":"","affiliations":[],"preferred":false,"id":925178,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Moore, Thomas E.","contributorId":349876,"corporation":false,"usgs":false,"family":"Moore","given":"Thomas E.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":925019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":925020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035151,"text":"70035151 - 2011 - The contribution of competition to tree mortality in old-growth coniferous forests","interactions":[],"lastModifiedDate":"2021-03-01T17:59:39.957482","indexId":"70035151","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The contribution of competition to tree mortality in old-growth coniferous forests","docAbstract":"Competition is a well-documented contributor to tree mortality in temperate forests, with numerous studies documenting a relationship between tree death and the competitive environment. Models frequently rely on competition as the only non-random mechanism affecting tree mortality. However, for mature forests, competition may cease to be the primary driver of mortality.
We use a large, long-term dataset to study the importance of competition in determining tree mortality in old-growth forests on the western slope of the Sierra Nevada of California, U.S.A. We make use of the comparative spatial configuration of dead and live trees, changes in tree spatial pattern through time, and field assessments of contributors to an individual tree's death to quantify competitive effects.
Competition was apparently a significant contributor to tree mortality in these forests. Trees that died tended to be in more competitive environments than trees that survived, and suppression frequently appeared as a factor contributing to mortality. On the other hand, based on spatial pattern analyses, only three of 14 plots demonstrated compelling evidence that competition was dominating mortality. Most of the rest of the plots fell within the expectation for random mortality, and three fit neither the random nor the competition model. These results suggest that while competition is often playing a significant role in tree mortality processes in these forests it only infrequently governs those processes. In addition, the field assessments indicated a substantial presence of biotic mortality agents in trees that died.
While competition is almost certainly important, demographics in these forests cannot accurately be characterized without a better grasp of other mortality processes. In particular, we likely need a better understanding of biotic agents and their interactions with one another and with competition.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2010.12.035","issn":"03781127","usgsCitation":"Das, A., Battles, J., Stephenson, N., and van Mantgem, P.J., 2011, The contribution of competition to tree mortality in old-growth coniferous forests: Forest Ecology and Management, v. 261, no. 7, p. 1203-1213, https://doi.org/10.1016/j.foreco.2010.12.035.","productDescription":"11 p.","startPage":"1203","endPage":"1213","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":243257,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215450,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.12.035"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park and Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.9814453125,\n 38.61687046392973\n ],\n [\n -120.34423828125,\n 37.35269280367274\n ],\n [\n -119.35546875000001,\n 36.82687474287728\n ],\n [\n -118.69628906249999,\n 35.71083783530009\n ],\n [\n -117.59765625,\n 35.67514743608467\n ],\n [\n -118.125,\n 37.00255267215955\n ],\n [\n -119.0478515625,\n 38.013476231041935\n ],\n [\n -120.234375,\n 38.95940879245423\n ],\n [\n -120.95947265624999,\n 39.198205348894795\n ],\n [\n -121.4208984375,\n 38.8225909761771\n ],\n [\n -120.9814453125,\n 38.61687046392973\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"261","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa5ce4b08c986b3227ee","contributors":{"authors":[{"text":"Das, A.","contributorId":45097,"corporation":false,"usgs":true,"family":"Das","given":"A.","email":"","affiliations":[],"preferred":false,"id":449505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battles, J.","contributorId":35973,"corporation":false,"usgs":true,"family":"Battles","given":"J.","affiliations":[],"preferred":false,"id":449504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, N.L.","contributorId":17559,"corporation":false,"usgs":true,"family":"Stephenson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":449503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":449506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046457,"text":"70046457 - 2011 - Applications of selective ion exchange for perchlorate removal, recovery, and environmental forensics","interactions":[],"lastModifiedDate":"2017-06-05T13:07:10","indexId":"70046457","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Applications of selective ion exchange for perchlorate removal, recovery, and environmental forensics","docAbstract":"Perchlorate (ClO4-) is a widespread contaminant found in drinking water and groundwater that has caused far-reaching ramifications ranging from public health issues to potential liabilities arising from environmental clean-up requirements.\nThe chapter summarizes recent developments in highly selective and regenerable ion exchange technologies for removing ClO4- from contaminated water. The technologies rely on a unique, highly specific resin to trap ClO4-. The resin is then\nregenerated and ClO4- is either destroyed or recovered—leading to significant cost reduction and waste minimization. The ability to recover trace quantities of pure ClO4- from contaminated media also allows unambiguous identification of the\nsources of its contamination through stable isotope ratio analysis of chlorine and oxygen atoms. We provide detailed descriptions of the techniques for extracting, purifying, and crystallizing trade amounts of ClO4- and characterizing its isotopic\ncomposition for fingerprinting in the environment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ion exchange and solvent extraction: A series of advances, Volume 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","isbn":"9781439855393","usgsCitation":"Gu, B., Bohlke, J., Sturchio, N.C., Hatzinger, P., Jackson, A., Beloso, A.D., Heraty, L.J., Bian, Y., Jiang, X., and Brown, G.M., 2011, Applications of selective ion exchange for perchlorate removal, recovery, and environmental forensics, chap. of Ion exchange and solvent extraction: A series of advances, Volume 20, p. 117-144.","productDescription":"28 p.","startPage":"117","endPage":"144","ipdsId":"IP-017595","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":342098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342097,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Ion-Exchange-and-Solvent-Extraction-A-Series-of-Advances-Volume-20/SenGupta/p/book/9781439855393"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366dade4b0f6c2d0d7d64c","contributors":{"editors":[{"text":"SenGupta, Arup K.","contributorId":192624,"corporation":false,"usgs":false,"family":"SenGupta","given":"Arup","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":697102,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gu, Baohua","contributorId":15504,"corporation":false,"usgs":true,"family":"Gu","given":"Baohua","affiliations":[],"preferred":false,"id":697092,"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":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":697093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":697094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatzinger, Paul B.","contributorId":43204,"corporation":false,"usgs":true,"family":"Hatzinger","given":"Paul B.","affiliations":[],"preferred":false,"id":697095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Andrew","contributorId":176588,"corporation":false,"usgs":false,"family":"Jackson","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":697096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beloso, Abelardo D. Jr.","contributorId":15016,"corporation":false,"usgs":true,"family":"Beloso","given":"Abelardo","suffix":"Jr.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heraty, Linnea J.","contributorId":192520,"corporation":false,"usgs":false,"family":"Heraty","given":"Linnea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697098,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bian, Yongrong","contributorId":192621,"corporation":false,"usgs":false,"family":"Bian","given":"Yongrong","email":"","affiliations":[],"preferred":false,"id":697099,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jiang, Xin","contributorId":192622,"corporation":false,"usgs":false,"family":"Jiang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":697100,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, Gilbert M.","contributorId":192623,"corporation":false,"usgs":false,"family":"Brown","given":"Gilbert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":697101,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70156745,"text":"70156745 - 2011 - Fire in southern Australia","interactions":[],"lastModifiedDate":"2021-11-10T17:34:17.283316","indexId":"70156745","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Fire in southern Australia","docAbstract":"The mediterranean-type climate (MTC) in Australia spans from the southwestern part of Western Australia to include much of South Australia and western Victoria (Fig. 8.1), which covers a longitudinal distance second only to the Mediterranean Basin MTC region. As in other MTC regions, the highly fire-prone evergreen sclerophyllous shrub and tree mediterranean-type vegetation (MTV) extends much further east and north into climatic zones that are not MTC. Australia, however, is distinctly unlike other MTC regions in that fire-prone MTV is extensive across the southern part of the continent and transcends climatic boundaries with relatively subtle changes in community structure and composition. Sclerophyllous MTV dominates both the MTC region of the southwestern corner of the continent as well as the southeastern corner under an aseasonal climate. Both regions share a common fire season of summer to early autumn (McArthur 1972); however, the MTC southwest has a potential fire season every summer whereas in the southeast it is tied to weather anomalies that occur once to several times a decade.
Mediterranean-type Vegetation
Within the southern Australian MTC zone (Fig. 8.1) evergreen sclerophyllous vegetation dominates. Such MTV is sometimes defined as shrub dominated (Specht 1979), and indeed large areas of sclerophyllous heaths (see Fig. 1.6f), shrublands (Fig. 8.2a) and mallee (Fig. 8.3) occur. However, woodlands and forests form integral parts of the MTC biome (Dell et al. 1989; Gill 1994), and thus MTV includes shrublands, woodlands and forests, and in southern Australia they dominate both in the MTC region and outside that climatic zone (Fig. 8.1). MTV is found across the southern temperate latitudes of Australia (Table 8.1) in an arc below about 30° latitude, accounting for dominant vegetation types in infertile habitats throughout temperate Australia. We specifically focus on the various heaths, shrublands and dry sclerophyll forests that constitute the most fire prone communities in these temperate landscapes. Although similar fire-prone MTV heathlands occur extensively within the tropics on the northern end of the continent (Keith et al. 2002; Russell-Smith & Stanton 2002), here we focus on the temperate MTV, but do consider broader relationships with other adjoining vegetation types (e.g. wet sclerophyll forests, rainforests, and various arid and semi-arid woodlands and shrublands).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire in Mediterranean ecosystems: Ecology, evolution and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9781139033091.010","usgsCitation":"Keeley, J.E., Bond, W.J., Bradstock, R.A., Pausas, J.G., and Rundel, P.W., 2011, Fire in southern Australia, chap. 8 of Fire in Mediterranean ecosystems: Ecology, evolution and management, p. 201-230, https://doi.org/10.1017/CBO9781139033091.010.","productDescription":"29 p.","startPage":"201","endPage":"230","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018786","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"South Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 113.7744140625,\n -35.281500657891186\n ],\n [\n 138.2958984375,\n -35.281500657891186\n ],\n [\n 138.2958984375,\n -27.41078570257701\n ],\n [\n 113.7744140625,\n -27.41078570257701\n ],\n [\n 113.7744140625,\n -35.281500657891186\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f596e4b0bc0bec0a174f","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradstock, Ross A.","contributorId":42826,"corporation":false,"usgs":false,"family":"Bradstock","given":"Ross","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pausas, Juli G.","contributorId":91347,"corporation":false,"usgs":true,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":570345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":570346,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":"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.
","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":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":471454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":"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 (EC) across the site. The relation between measured apparent electrical conductivity (ECa) and hydraulic conductivity (K) is weak (correlation coefficient of 0.20), whereas the correlation between the depth dependent EC obtained from the inversions, and K is sufficiently strong to be used for hydrologic estimation (correlation coefficient of − 0.62). Depth-specific EC values were correlated with co-located K measurements to develop a site-specific ln(EC)–ln(K) relation. This petrophysical relation was applied to produce a spatially detailed map of K across the study area. A synthetic example based on ECa 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 K occurs at ~ 0.5 m followed by a gradual correlation loss of 90% at 2.3 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 ± 0.5 m depending on the soil conductivities. A 4-layer model, with varying thicknesses, was used to invert the ECa to maximize available information within the aquifer region for improved correlations with K. Results show improved correlation between K and the corresponding inverted EC at similar depths, underscoring the importance of inversion in using multi-frequency EMI data for hydrologic estimation.
","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":70189939,"text":"70189939 - 2011 - Mechanics of flow and sediment transport in delta distributary channels","interactions":[],"lastModifiedDate":"2018-04-04T11:34:11","indexId":"70189939","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mechanics of flow and sediment transport in delta distributary channels","docAbstract":"Predicting the planform and dimensions of a channel downstream from a confluence of two smaller channels with known sediment and water supplies is a fundamental, well-studied problem in geomorphology and engineering. An analogous but less well understood problem is found\nwell downstream of such confluences, where large river channels split into two or more distributary channels on a river delta. In this case, both the flow and sediment supplies in the downstream distributaries are set by the dynamics near the bifurcation of the upstream channel and by downstream\nboundary conditions. Over time, the pattern of erosion and deposition in the distributary channels gives rise to variations in the amount of water and sediment routed into them. In the simplest case, this results in channel switching on deltas, but in a more general sense these dynamics produce a rich suite of interesting morphologic change contributing both to the evolution of the channel distributary network and the overall evolution of the delta. As part of a study to develop a better understanding of these processes, we conducted a field study measuring the detailed morphology of the Hong-Luoc junction on the Red River downstream of Hanoi, Vietnam. This junction was selected for such a study because it has a 1,000-year history, modern observations suggest that it is currently switching (changing the proportion of sediment and streamflow provided to each of the distributary channels), and hydrologic configuration of the junction allows for the study of two bifurcations and one confluence in a single junction complex. In this paper, our morphologic observations are used in computational flow models to show how flow and sediment transport changes as a function of total discharge upstream of the junction. This is a key component of understanding how the junction attains stability over a range of flows or how imbalances in the distribution of flow and sediment transport lead to destabilization of the channel bifurcation.","conferenceTitle":"2011 EIT International Conference on Water Resources Engineering","language":"English","publisher":"Proceeding of the 2011 EIT International Conference on Water Resources Engineering","usgsCitation":"Nelson, J.M., Kinzel, P.J., Duc Toan, D., Shimizu, Y., and McDonald, R.R., 2011, Mechanics of flow and sediment transport in delta distributary channels, 2011 EIT International Conference on Water Resources Engineering, p. 8-14.","productDescription":"7 p.","startPage":"8","endPage":"14","ipdsId":"IP-030356","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":353146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afef572e4b0da30c1bfc90e","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duc Toan, Duong","contributorId":195348,"corporation":false,"usgs":false,"family":"Duc Toan","given":"Duong","affiliations":[],"preferred":false,"id":706825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimizu, Yasuyuki","contributorId":28875,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","affiliations":[{"id":25249,"text":"Univ. of Hokkaido, Sapporo,Japan","active":true,"usgs":false}],"preferred":false,"id":706827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":732671,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193196,"text":"70193196 - 2011 - Geology of the Montreal River Monocline (Field trip guidebook)","interactions":[],"lastModifiedDate":"2017-11-20T15:03:24","indexId":"70193196","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geology of the Montreal River Monocline (Field trip guidebook)","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings and Abstracts - Institute on Lake Superior Geology. Meeting 57","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Cannon, W.F., 2011, Geology of the Montreal River Monocline (Field trip guidebook), in Proceedings and Abstracts - Institute on Lake Superior Geology. Meeting 57.","ipdsId":"IP-027744","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fde4b06e28e9c25636","contributors":{"authors":[{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718151,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042349,"text":"70042349 - 2011 - QuickBird satellite imagery as a tool for restoration and rehabilitation of Lake Sevan, Armenia","interactions":[],"lastModifiedDate":"2016-02-15T12:07:27","indexId":"70042349","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"QuickBird satellite imagery as a tool for restoration and rehabilitation of Lake Sevan, Armenia","docAbstract":"Lake Sevan in Armenia is the largest freshwater lake in the Transcaucasus region and is one of the largest high-altitude freshwater lakes in Eurasia (Babayan et al., 2006). Armenia is a small (29,743 km2), land- locked country that is comparatively poor in natural resources and nearly surrounded by borders that are blockaded by its neighbors (Babayan et al., 2006; Rhoades, 2008 and references therein; CIA, 2010). Despite these obstacles, ecological research and environmental restoration efforts continue. For the most part, ecological research in Lake Sevan during the twentieth century was restricted to Soviet-era journals, or was otherwise unavailable to western scientists.
\nThis review of the lignite deposits of western Tennessee and the Jackson Purchase area in western Kentucky (Figure 1) is an updated report on part of the U.S. Geological Survey's National Coal Resource Assessment of the Gulf Coastal Plain Coal Province (see Ruppert et al., 2002; Hackley et al., 2006; Dennen, 2009; and other chapters of this publication). Lignite deposits of western Kentucky and Tennessee are an extension of the Gulf Coastal Plain Coal Province (Cushing et al., 1964), and currently are not economic to mine. These deposits have not been extensively investigated or developed as an energy resource. This review includes a description of the geology of the lignite-bearing units, a discussion of the available coal quality data, and information on organic petrology. Palynological data for lignite samples collected in Kentucky and Tennessee as part of this work are presented in Table 1. Lignite trace element data originally presented in Hackley et al. (2006) are not included in this report due to potential laboratory quality control issues during the time the samples were analyzed (U.S. Geological Survey Energy Resources Program, 2010).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hackley, P.C., Warwick, P.D., Thomas, R.E., and Nichols, D.J., 2011, A review of lignite resources of western Tennessee and the Jackson Purchase area, western Kentucky, chap. 18 of Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 326-347.","productDescription":"22 p.","startPage":"326","endPage":"347","ipdsId":"IP-020072","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350932,"rank":1,"type":{"id":15,"text":"Index 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phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":647910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":647911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Roger E.","contributorId":87899,"corporation":false,"usgs":true,"family":"Thomas","given":"Roger","email":"","middleInitial":"E.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":647912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, Douglas J.","contributorId":87184,"corporation":false,"usgs":true,"family":"Nichols","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":647913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192758,"text":"70192758 - 2011 - A review of Alabama lignite deposits","interactions":[],"lastModifiedDate":"2020-10-22T16:40:49.370935","indexId":"70192758","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"16","title":"A review of Alabama lignite deposits","docAbstract":"This review of Alabama lignite deposits is a part of the U.S. Geological Survey (USGS) National Coal Resource Assessment (NCRA) of the Gulf Coast region (see Ruppert et al., 2002; Dennen, 2009; and other chapters of this publication). Because lignite is not currently mined in Alabama, a detailed assessment of the state was not made, and only a review is presented in this chapter.
Lignite beds are found in several stratigraphic horizons within the Paleocene Midway and Paleocene to Eocene Wilcox Groups in the Gulf Coastal Plain of Alabama (Figure 1). There are three main near-surface (less than 250 ft of overburden) lignite deposits in Alabama. In the Midway Group, the Oak Hill lignite deposit occurs in the upper part of the Oak Hill Member of the Naheola Formation (Figure 2). In the Wilcox Group, the Gravel Creek and the Tuscahoma lignite deposits occur in the Coal Bluff Marl Member of the Nanafalia Formation and the Tuscahoma Sand Member of the Tuscahoma Sand Formation, respectively (Figure 2). The Gravel Creek lignite occurs in central and eastern Alabama, and the Oak Hill and Tuscahoma Sand lignites occur in southwest Alabama. Eighty-five percent of this lignite may be recoverable by surface mining methods (Tolson, 1985). The total amount of lignite reported as a reserve by the state is over 4.7 billion short tons (Self et al., 1978).
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\"}}]}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743588e4b0a9a2e9e25cc4","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726463,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726464,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726465,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":726466,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Aubourg, Claire E.","contributorId":87192,"corporation":false,"usgs":true,"family":"Aubourg","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716843,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036702,"text":"70036702 - 2011 - Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","interactions":[],"lastModifiedDate":"2012-12-30T20:38:21","indexId":"70036702","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","docAbstract":"Efforts to improve public health protection in recreational swimming waters have focused on obtaining real-time estimates of water quality. Current monitoring techniques rely on the time-intensive culturing of fecal indicator bacteria (FIB) from water samples, but rapidly changing FIB concentrations result in management errors that lead to the public being exposed to high FIB concentrations (type II error) or beaches being closed despite acceptable water quality (type I error). Empirical predictive models may provide a rapid solution, but their effectiveness at improving health protection has not been adequately assessed. We sought to determine if emerging monitoring approaches could effectively reduce risk of illness exposure by minimizing management errors. We examined four monitoring approaches (inactive, current protocol, a single predictive model for all beaches, and individual models for each beach) with increasing refinement at 14 Chicago beaches using historical monitoring and hydrometeorological data and compared management outcomes using different standards for decision-making. Predictability (R2) of FIB concentration improved with model refinement at all beaches but one. Predictive models did not always reduce the number of management errors and therefore the overall illness burden. Use of a Chicago-specific single-sample standard-rather than the default 235 E. coli CFU/100 ml widely used-together with predictive modeling resulted in the greatest number of open beach days without any increase in public health risk. These results emphasize that emerging monitoring approaches such as empirical models are not equally applicable at all beaches, and combining monitoring approaches may expand beach access.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.watres.2010.12.010","issn":"00431354","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2011, Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches: Water Research, v. 45, no. 4, p. 1659-1668, https://doi.org/10.1016/j.watres.2010.12.010.","productDescription":"10 p.","startPage":"1659","endPage":"1668","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217564,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2010.12.010"},{"id":245517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0861e4b0c8380cd51ac9","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":457432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037017,"text":"70037017 - 2011 - The secret to successful solute-transport modeling","interactions":[],"lastModifiedDate":"2020-01-14T10:33:01","indexId":"70037017","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":"The secret to successful solute-transport modeling","docAbstract":"Modeling subsurface solute transport is difficult—more so than modeling heads and flows. The classical governing equation does not always adequately represent what we see at the field scale. In such cases, commonly used numerical models are solving the wrong equation. Also, the transport equation is hyperbolic where advection is dominant, and parabolic where hydrodynamic dispersion is dominant. No single numerical method works well for all conditions, and for any given complex field problem, where seepage velocity is highly variable, no one method will be optimal everywhere. Although we normally expect a numerically accurate solution to the governing groundwater-flow equation, errors in concentrations from numerical dispersion and/or oscillations may be large in some cases. The accuracy and efficiency of the numerical solution to the solute-transport equation are more sensitive to the numerical method chosen than for typical groundwater-flow problems. However, numerical errors can be kept within acceptable limits if sufficient computational effort is expended. But impractically long\nsimulation times may promote a tendency to ignore or accept numerical errors. One approach to effective solutetransport modeling is to keep the model relatively simple and use it to test and improve conceptual understanding of the system and the problem at hand. It should not be expected that all concentrations observed in the field can be reproduced. Given a knowledgeable analyst, a reasonable description of a hydrogeologic framework, and the\navailability of solute-concentration data, the secret to successful solute-transport modeling may simply be to lower expectations.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00764.x","issn":"0017467X","usgsCitation":"Konikow, L.F., 2011, The secret to successful solute-transport modeling: Ground Water, v. 49, no. 2, p. 144-159, https://doi.org/10.1111/j.1745-6584.2010.00764.x.","productDescription":"16 p.","startPage":"144","endPage":"159","numberOfPages":"16","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"505ba8e3e4b08c986b321f00","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":458985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037016,"text":"70037016 - 2011 - An analytical framework to assist decision makers in the use of forest ecosystem model predictions","interactions":[],"lastModifiedDate":"2017-04-06T13:21:40","indexId":"70037016","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"An analytical framework to assist decision makers in the use of forest ecosystem model predictions","docAbstract":"The predictions from most forest ecosystem models originate from deterministic simulations. However, few evaluation exercises for model outputs are performed by either model developers or users. This issue has important consequences for decision makers using these models to develop natural resource management policies, as they cannot evaluate the extent to which predictions stemming from the simulation of alternative management scenarios may result in significant environmental or economic differences. Various numerical methods, such as sensitivity/uncertainty analyses, or bootstrap methods, may be used to evaluate models and the errors associated with their outputs. However, the application of each of these methods carries unique challenges which decision makers do not necessarily understand; guidance is required when interpreting the output generated from each model. This paper proposes a decision flow chart in the form of an analytical framework to help decision makers apply, in an orderly fashion, different steps involved in examining the model outputs. The analytical framework is discussed with regard to the definition of problems and objectives and includes the following topics: model selection, identification of alternatives, modelling tasks and selecting alternatives for developing policy or implementing management scenarios. Its application is illustrated using an on-going exercise in developing silvicultural guidelines for a forest management enterprise in Ontario, Canada.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.03.009","issn":"13648152","usgsCitation":"Larocque, G.R., Bhatti, J.S., Ascough, J., Liu, J., Luckai, N., Mailly, D., Archambault, L., and Gordon, A.M., 2011, An analytical framework to assist decision makers in the use of forest ecosystem model predictions: Environmental Modelling and Software, v. 26, no. 3, p. 280-288, https://doi.org/10.1016/j.envsoft.2010.03.009.","productDescription":"9 p.","startPage":"280","endPage":"288","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":217418,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.03.009"},{"id":245364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f8e4b0c8380cd4856a","contributors":{"authors":[{"text":"Larocque, Guy R.","contributorId":68139,"corporation":false,"usgs":true,"family":"Larocque","given":"Guy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":458980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhatti, Jagtar S.","contributorId":12720,"corporation":false,"usgs":true,"family":"Bhatti","given":"Jagtar","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":458978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ascough, J.C.","contributorId":77776,"corporation":false,"usgs":true,"family":"Ascough","given":"J.C.","affiliations":[],"preferred":false,"id":458981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":458979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luckai, N.","contributorId":81727,"corporation":false,"usgs":true,"family":"Luckai","given":"N.","email":"","affiliations":[],"preferred":false,"id":458983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mailly, D.","contributorId":94894,"corporation":false,"usgs":true,"family":"Mailly","given":"D.","email":"","affiliations":[],"preferred":false,"id":458984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Archambault, L.","contributorId":80938,"corporation":false,"usgs":true,"family":"Archambault","given":"L.","email":"","affiliations":[],"preferred":false,"id":458982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gordon, Andrew M.","contributorId":9093,"corporation":false,"usgs":true,"family":"Gordon","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":458977,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}