{"pageNumber":"767","pageRowStart":"19150","pageSize":"25","recordCount":40778,"records":[{"id":70034455,"text":"70034455 - 2011 - Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA","interactions":[],"lastModifiedDate":"2021-04-20T16:04:25.430649","indexId":"70034455","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA","docAbstract":"

Investigations on the northern Seward Peninsula in Alaska identified zones of recent (<50 years) permafrost collapse that led to the formation of floating vegetation mats along thermokarst lake margins. The occurrence of floating vegetation mat features indicates rapid degradation of near‐surface permafrost and lake expansion. This paper reports on the recent expansion of these collapse features and their geometry is determined using geophysical and remote sensing measurements. The vegetation mats were observed to have an average thickness of 0.57 m and petrophysical modeling indicated that gas content of 1.5–5% enabled floatation above the lake surface. Furthermore, geophysical investigation provides evidence that the mats form by thaw and subsidence of the underlying permafrost rather than terrestrialization. The temperature of the water below a vegetation mat was observed to remain above freezing late in the winter. Analysis of satellite and aerial imagery indicates that these features have expanded at maximum rates of 1–2 m yr‐1 over a 56 year period. Including the spatial coverage of floating ‘thermokarst mats’ increases estimates of lake area by as much as 4% in some lakes.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.2210","issn":"01979337","usgsCitation":"Parsekian, A., Jones, B.M., Jones, M., Grosse, G., Walter, A.K., and Slater, L., 2011, Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA: Earth Surface Processes and Landforms, v. 36, no. 14, p. 1889-1897, https://doi.org/10.1002/esp.2210.","productDescription":"9 p.","startPage":"1889","endPage":"1897","costCenters":[],"links":[{"id":244826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216924,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.2210"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.013671875,\n 64.09140752262307\n ],\n [\n -158.79638671875,\n 64.09140752262307\n ],\n [\n -158.79638671875,\n 67.20403234340081\n ],\n [\n -169.013671875,\n 67.20403234340081\n ],\n [\n -169.013671875,\n 64.09140752262307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a0db7e4b0c8380cd5316b","contributors":{"authors":[{"text":"Parsekian, A.D.","contributorId":60048,"corporation":false,"usgs":true,"family":"Parsekian","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":445876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":445874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, M.","contributorId":32297,"corporation":false,"usgs":true,"family":"Jones","given":"M.","affiliations":[],"preferred":false,"id":445873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":445877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, Anthony K.M.","contributorId":49633,"corporation":false,"usgs":true,"family":"Walter","given":"Anthony","email":"","middleInitial":"K.M.","affiliations":[],"preferred":false,"id":445875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slater, L.","contributorId":99267,"corporation":false,"usgs":true,"family":"Slater","given":"L.","email":"","affiliations":[],"preferred":false,"id":445878,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034462,"text":"70034462 - 2011 - The GeoClaw software for depth-averaged flows with adaptive refinement","interactions":[],"lastModifiedDate":"2021-04-19T21:40:35.042357","indexId":"70034462","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"The GeoClaw software for depth-averaged flows with adaptive refinement","docAbstract":"

Many geophysical flow or wave propagation problems can be modeled with two-dimensional depth-averaged equations, of which the shallow water equations are the simplest example. We describe the GeoClaw software that has been designed to solve problems of this nature, consisting of open source Fortran programs together with Python tools for the user interface and flow visualization. This software uses high-resolution shock-capturing finite volume methods on logically rectangular grids, including latitude–longitude grids on the sphere. Dry states are handled automatically to model inundation. The code incorporates adaptive mesh refinement to allow the efficient solution of large-scale geophysical problems. Examples are given illustrating its use for modeling tsunamis and dam-break flooding problems. Documentation and download information is available at www.clawpack.org/geoclaw.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2011.02.016","issn":"03091708","usgsCitation":"Berger, M., George, D., LeVeque, R., and Mandli, K.T., 2011, The GeoClaw software for depth-averaged flows with adaptive refinement: Advances in Water Resources, v. 34, no. 9, p. 1195-1206, https://doi.org/10.1016/j.advwatres.2011.02.016.","productDescription":"12 p.","startPage":"1195","endPage":"1206","costCenters":[],"links":[{"id":475066,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1008.0455","text":"External Repository"},{"id":244411,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216534,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.advwatres.2011.02.016"}],"volume":"34","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba746e4b08c986b321487","contributors":{"authors":[{"text":"Berger, M.J.","contributorId":86574,"corporation":false,"usgs":true,"family":"Berger","given":"M.J.","affiliations":[],"preferred":false,"id":445931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, D.L.","contributorId":54419,"corporation":false,"usgs":true,"family":"George","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":445930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeVeque, R.J.","contributorId":92068,"corporation":false,"usgs":true,"family":"LeVeque","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":445932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandli, Kyle T.","contributorId":25011,"corporation":false,"usgs":true,"family":"Mandli","given":"Kyle","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":445929,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034463,"text":"70034463 - 2011 - Landscape features influence postrelease predation on endangered black-footed ferrets","interactions":[],"lastModifiedDate":"2021-04-19T21:34:50.996832","indexId":"70034463","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Landscape features influence postrelease predation on endangered black-footed ferrets","docAbstract":"

Predation can be a critical factor influencing recovery of endangered species. In most recovery efforts lethal and nonlethal influences of predators are not sufficiently understood to allow prediction of predation risk, despite its importance. We investigated whether landscape features could be used to model predation risk from coyotes (Canis latrans) and great horned owls (Bubo virginianus) on the endangered black-footed ferret (Mustela nigripes). We used location data of reintroduced ferrets from 3 sites in South Dakota to determine whether exposure to landscape features typically associated with predators affected survival of ferrets, and whether ferrets considered predation risk when choosing habitat near perches potentially used by owls or near linear features predicted to be used by coyotes. Exposure to areas near likely owl perches reduced ferret survival, but landscape features potentially associated with coyote movements had no appreciable effect on survival. Ferrets were located within 90 m of perches more than expected in 2 study sites that also had higher ferret mortality due to owl predation. Densities of potential coyote travel routes near ferret locations were no different than expected in all 3 sites. Repatriated ferrets might have selected resources based on factors other than predator avoidance. Considering an easily quantified landscape feature (i.e., owl perches) can enhance success of reintroduction efforts for ferrets. Nonetheless, development of predictive models of predation risk and management strategies to mitigate that risk is not necessarily straightforward for more generalist predators such as coyotes.

","language":"English","publisher":"Oxford Academic","doi":"10.1644/10-MAMM-S-061.1","issn":"00222372","usgsCitation":"Poessel, S., Breck, S., Biggins, E., Livieri, T., Crooks, K., and Angeloni, L., 2011, Landscape features influence postrelease predation on endangered black-footed ferrets: Journal of Mammalogy, v. 92, no. 4, p. 732-741, https://doi.org/10.1644/10-MAMM-S-061.1.","productDescription":"10 p.","startPage":"732","endPage":"741","numberOfPages":"10","costCenters":[],"links":[{"id":244444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216566,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/10-MAMM-S-061.1"}],"volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a4410e4b0c8380cd6680f","contributors":{"authors":[{"text":"Poessel, S.A.","contributorId":54816,"corporation":false,"usgs":true,"family":"Poessel","given":"S.A.","affiliations":[],"preferred":false,"id":445935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breck, S.W.","contributorId":15149,"corporation":false,"usgs":true,"family":"Breck","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":445933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggins, E.","contributorId":88303,"corporation":false,"usgs":true,"family":"Biggins","given":"E.","email":"","affiliations":[],"preferred":false,"id":445937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livieri, T.M.","contributorId":96910,"corporation":false,"usgs":true,"family":"Livieri","given":"T.M.","affiliations":[],"preferred":false,"id":445938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crooks, K.R.","contributorId":81679,"corporation":false,"usgs":true,"family":"Crooks","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":445936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angeloni, L.","contributorId":26904,"corporation":false,"usgs":true,"family":"Angeloni","given":"L.","email":"","affiliations":[],"preferred":false,"id":445934,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034465,"text":"70034465 - 2011 - Environmental conditions constrain the distribution and diversity of archaeal merA in Yellowstone National Park, Wyoming, U.S.A.","interactions":[],"lastModifiedDate":"2020-01-28T17:03:56","indexId":"70034465","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions constrain the distribution and diversity of archaeal merA in Yellowstone National Park, Wyoming, U.S.A.","docAbstract":"

The distribution and phylogeny of extant protein-encoding genes recovered from geochemically diverse environments can provide insight into the physical and chemical parameters that led to the origin and which constrained the evolution of a functional process. Mercuric reductase (MerA) plays an integral role in mercury (Hg) biogeochemistry by catalyzing the transformation of Hg(II) to Hg(0). Putative merA sequences were amplified from DNA extracts of microbial communities associated with mats and sulfur precipitates from physicochemically diverse Hg-containing springs in Yellowstone National Park, Wyoming, using four PCR primer sets that were designed to capture the known diversity of merA. The recovery of novel and deeply rooted MerA lineages from these habitats supports previous evidence that indicates merA originated in a thermophilic environment. Generalized linear models indicate that the distribution of putative archaeal merA lineages was constrained by a combination of pH, dissolved organic carbon, dissolved total mercury and sulfide. The models failed to identify statistically well supported trends for the distribution of putative bacterial merA lineages as a function of these or other measured environmental variables, suggesting that these lineages were either influenced by environmental parameters not considered in the present study, or the bacterial primer sets were designed to target too broad of a class of genes which may have responded differently to environmental stimuli. The widespread occurrence of merA in the geothermal environments implies a prominent role for Hg detoxification in these environments. Moreover, the differences in the distribution of the merA genes amplified with the four merA primer sets suggests that the organisms putatively engaged in this activity have evolved to occupy different ecological niches within the geothermal gradient. 

","language":"English","publisher":"Springer","doi":"10.1007/s00248-011-9890-z","issn":"00953628","usgsCitation":"Wang, Y., Boyd, E., Crane, S., Lu-Irving, P., Krabbenhoft, D.P., King, S., Dighton, J., Geesey, G., and Barkay, T., 2011, Environmental conditions constrain the distribution and diversity of archaeal merA in Yellowstone National Park, Wyoming, U.S.A.: Microbial Ecology, v. 62, no. 4, p. 739-752, https://doi.org/10.1007/s00248-011-9890-z.","productDescription":"14 p.","startPage":"739","endPage":"752","numberOfPages":"14","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.05255126953125,\n 44.1151978766043\n ],\n [\n -110.12695312499999,\n 44.1151978766043\n ],\n [\n -110.12695312499999,\n 44.990055522906864\n ],\n [\n -111.05255126953125,\n 44.990055522906864\n ],\n [\n -111.05255126953125,\n 44.1151978766043\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-29","publicationStatus":"PW","scienceBaseUri":"505a0990e4b0c8380cd51f86","contributors":{"authors":[{"text":"Wang, Y.","contributorId":64213,"corporation":false,"usgs":true,"family":"Wang","given":"Y.","affiliations":[],"preferred":false,"id":445944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, E.","contributorId":82558,"corporation":false,"usgs":true,"family":"Boyd","given":"E.","email":"","affiliations":[],"preferred":false,"id":445946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, S.","contributorId":96117,"corporation":false,"usgs":true,"family":"Crane","given":"S.","email":"","affiliations":[],"preferred":false,"id":445949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu-Irving, P.","contributorId":76968,"corporation":false,"usgs":true,"family":"Lu-Irving","given":"P.","email":"","affiliations":[],"preferred":false,"id":445945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":445947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, S.","contributorId":91323,"corporation":false,"usgs":true,"family":"King","given":"S.","affiliations":[],"preferred":false,"id":445948,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dighton, J.","contributorId":47201,"corporation":false,"usgs":true,"family":"Dighton","given":"J.","email":"","affiliations":[],"preferred":false,"id":445941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geesey, G.","contributorId":52430,"corporation":false,"usgs":true,"family":"Geesey","given":"G.","affiliations":[],"preferred":false,"id":445942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barkay, T.","contributorId":57617,"corporation":false,"usgs":true,"family":"Barkay","given":"T.","affiliations":[],"preferred":false,"id":445943,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70034466,"text":"70034466 - 2011 - Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","interactions":[],"lastModifiedDate":"2021-04-21T12:30:39.312442","indexId":"70034466","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","docAbstract":"

Principal component analysis (PCA) applied to hydrochemical data has been used with end-member mixing to characterize groundwater flow to a limited extent, but aspects of this approach are unresolved. Previous similar approaches typically have assumed that the extreme-value samples identified by PCA represent end members. The method presented herein is different from previous work in that (1) end members were not assumed to have been sampled but rather were estimated and constrained by prior knowledge; (2) end-member mixing was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes; (3) a method to select an appropriate number of end members using a series of cluster analyses is presented; and (4) conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case. The latter item also provides an estimate of the relative influence of geochemical evolution along flow paths in comparison to mixing. This method was applied to groundwater in Wind Cave and the associated karst aquifer in the Black Hills of South Dakota, USA. The end-member mixing model was used to test a hypothesis that five different end-member waters are mixed in the groundwater system comprising five hydrogeologic domains. The model estimated that Wind Cave received most of its groundwater inflow from local surface recharge with an additional 33% from an upgradient aquifer. Artesian springs in the vicinity of Wind Cave primarily received water from regional groundwater flow.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.08.028","issn":"00221694","usgsCitation":"Long, A., and Valder, J., 2011, Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers: Journal of Hydrology, v. 409, no. 1-2, p. 315-327, https://doi.org/10.1016/j.jhydrol.2011.08.028.","productDescription":"13 p.","startPage":"315","endPage":"327","costCenters":[],"links":[{"id":244474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.9471435546875,\n 43.08493742707592\n ],\n [\n -102.9144287109375,\n 43.08493742707592\n ],\n [\n -102.9144287109375,\n 43.92163712834673\n ],\n [\n -103.9471435546875,\n 43.92163712834673\n ],\n [\n -103.9471435546875,\n 43.08493742707592\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"409","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60b3e4b0c8380cd71630","contributors":{"authors":[{"text":"Long, Andrew J.","contributorId":80023,"corporation":false,"usgs":false,"family":"Long","given":"Andrew J.","affiliations":[],"preferred":false,"id":445951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, J.F.","contributorId":57295,"corporation":false,"usgs":true,"family":"Valder","given":"J.F.","affiliations":[],"preferred":false,"id":445950,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034467,"text":"70034467 - 2011 - Adaptive resource management and the value of information","interactions":[],"lastModifiedDate":"2021-04-19T21:14:54.593486","indexId":"70034467","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive resource management and the value of information","docAbstract":"

The value of information is a general and broadly applicable concept that has been used for several decades to aid in making decisions in the face of uncertainty. Yet there are relatively few examples of its use in ecology and natural resources management, and almost none that are framed in terms of the future impacts of management decisions. In this paper we discuss the value of information in a context of adaptive management, in which actions are taken sequentially over a timeframe and both future resource conditions and residual uncertainties about resource responses are taken into account. Our objective is to derive the value of reducing or eliminating uncertainty in adaptive decision making. We describe several measures of the value of information, with each based on management objectives that are appropriate for adaptive management. We highlight some mathematical properties of these measures, discuss their geometries, and illustrate them with an example in natural resources management. Accounting for the value of information can help to inform decisions about whether and how much to monitor resource conditions through time.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2011.07.003","issn":"03043800","usgsCitation":"Williams, B.K., Eaton, M., and Breininger, D., 2011, Adaptive resource management and the value of information: Ecological Modelling, v. 222, no. 18, p. 3429-3436, https://doi.org/10.1016/j.ecolmodel.2011.07.003.","productDescription":"8 p.","startPage":"3429","endPage":"3436","costCenters":[],"links":[{"id":244504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216623,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2011.07.003"}],"volume":"222","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6e6e4b0c8380cd476f9","contributors":{"authors":[{"text":"Williams, B. Kenneth","contributorId":107798,"corporation":false,"usgs":true,"family":"Williams","given":"B.","email":"","middleInitial":"Kenneth","affiliations":[],"preferred":false,"id":445954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, M.J.","contributorId":83764,"corporation":false,"usgs":true,"family":"Eaton","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":445953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breininger, D.R.","contributorId":62856,"corporation":false,"usgs":true,"family":"Breininger","given":"D.R.","affiliations":[],"preferred":false,"id":445952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034476,"text":"70034476 - 2011 - Multiplexed microsatellite recovery using massively parallel sequencing","interactions":[],"lastModifiedDate":"2012-12-12T10:12:51","indexId":"70034476","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Multiplexed microsatellite recovery using massively parallel sequencing","docAbstract":"Conservation and management of natural populations requires accurate and inexpensive genotyping methods. Traditional microsatellite, or simple sequence repeat (SSR), marker analysis remains a popular genotyping method because of the comparatively low cost of marker development, ease of analysis and high power of genotype discrimination. With the availability of massively parallel sequencing (MPS), it is now possible to sequence microsatellite-enriched genomic libraries in multiplex pools. To test this approach, we prepared seven microsatellite-enriched, barcoded genomic libraries from diverse taxa (two conifer trees, five birds) and sequenced these on one lane of the Illumina Genome Analyzer using paired-end 80-bp reads. In this experiment, we screened 6.1 million sequences and identified 356958 unique microreads that contained di- or trinucleotide microsatellites. Examination of four species shows that our conversion rate from raw sequences to polymorphic markers compares favourably to Sanger- and 454-based methods. The advantage of multiplexed MPS is that the staggering capacity of modern microread sequencing is spread across many libraries; this reduces sample preparation and sequencing costs to less than $400 (USD) per species. This price is sufficiently low that microsatellite libraries could be prepared and sequenced for all 1373 organisms listed as 'threatened' and 'endangered' in the United States for under $0.5M (USD).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1755-0998.2011.03033.x","issn":"1755098X","usgsCitation":"Jennings, T., Knaus, B., Mullins, T., Haig, S.M., and Cronn, R., 2011, Multiplexed microsatellite recovery using massively parallel sequencing: Molecular Ecology Resources, v. 11, no. 6, p. 1060-1067, https://doi.org/10.1111/j.1755-0998.2011.03033.x.","productDescription":"8 p.","startPage":"1060","endPage":"1067","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":215797,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1755-0998.2011.03033.x"},{"id":243623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-16","publicationStatus":"PW","scienceBaseUri":"505a6091e4b0c8380cd7154d","contributors":{"authors":[{"text":"Jennings, T.N.","contributorId":107521,"corporation":false,"usgs":true,"family":"Jennings","given":"T.N.","email":"","affiliations":[],"preferred":false,"id":446002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knaus, B.J.","contributorId":76153,"corporation":false,"usgs":true,"family":"Knaus","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":446000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullins, T.D.","contributorId":26046,"corporation":false,"usgs":true,"family":"Mullins","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":445998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, S. M. 0000-0002-6616-7589","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":55389,"corporation":false,"usgs":true,"family":"Haig","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronn, R.C.","contributorId":97732,"corporation":false,"usgs":true,"family":"Cronn","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":446001,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034477,"text":"70034477 - 2011 - A computer program for flow-log analysis of single holes (FLASH)","interactions":[],"lastModifiedDate":"2020-01-11T11:33:46","indexId":"70034477","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":"A computer program for flow-log analysis of single holes (FLASH)","docAbstract":"

A new computer program, FLASH (Flow-Log Analysis of Single Holes), is presented for the analysis of borehole vertical flow logs. The code is based on an analytical solution for steady-state multilayer radial flow to a borehole. The code includes options for (1) discrete fractures and (2) multilayer aquifers. Given vertical flow profiles collected under both ambient and stressed (pumping or injection) conditions, the user can estimate fracture (or layer) transmissivities and far-field hydraulic heads. FLASH is coded in Microsoft Excel with Visual Basic for Applications routines. The code supports manual and automated model calibration.

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/j.1745-6584.2011.00798.x","issn":"0017467X","usgsCitation":"Day-Lewis, F., Johnson, C., Paillet, F.L., and Halford, K.J., 2011, A computer program for flow-log analysis of single holes (FLASH): Ground Water, v. 49, no. 6, p. 926-931, https://doi.org/10.1111/j.1745-6584.2011.00798.x.","productDescription":"6 p.","startPage":"926","endPage":"931","numberOfPages":"6","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":438829,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7319SZC","text":"USGS data release","linkHelpText":"FLASH: A Computer Program for Flow-Log Analysis of Single Holes"},{"id":243652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-02-09","publicationStatus":"PW","scienceBaseUri":"5059e2d3e4b0c8380cd45c8c","contributors":{"authors":[{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":446004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, C. D.","contributorId":8120,"corporation":false,"usgs":true,"family":"Johnson","given":"C. D.","affiliations":[],"preferred":false,"id":446003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paillet, Frederick L.","contributorId":63820,"corporation":false,"usgs":true,"family":"Paillet","given":"Frederick","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halford, K. J. 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":61077,"corporation":false,"usgs":true,"family":"Halford","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034478,"text":"70034478 - 2011 - Repeatable source, site, and path effects on the standard deviation for empirical ground-motion prediction models","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70034478","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Repeatable source, site, and path effects on the standard deviation for empirical ground-motion prediction models","docAbstract":"In this study, we quantify the reduction in the standard deviation for empirical ground-motion prediction models by removing ergodic assumption.We partition the modeling error (residual) into five components, three of which represent the repeatable source-location-specific, site-specific, and path-specific deviations from the population mean. A variance estimation procedure of these error components is developed for use with a set of recordings from earthquakes not heavily clustered in space.With most source locations and propagation paths sampled only once, we opt to exploit the spatial correlation of residuals to estimate the variances associated with the path-specific and the source-location-specific deviations. The estimation procedure is applied to ground-motion amplitudes from 64 shallow earthquakes in Taiwan recorded at 285 sites with at least 10 recordings per site. The estimated variance components are used to quantify the reduction in aleatory variability that can be used in hazard analysis for a single site and for a single path. For peak ground acceleration and spectral accelerations at periods of 0.1, 0.3, 0.5, 1.0, and 3.0 s, we find that the singlesite standard deviations are 9%-14% smaller than the total standard deviation, whereas the single-path standard deviations are 39%-47% smaller.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090312","issn":"00371106","usgsCitation":"Lin, P., Chiou, B., Abrahamson, N., Walling, M., Lee, C., and Cheng, C., 2011, Repeatable source, site, and path effects on the standard deviation for empirical ground-motion prediction models: Bulletin of the Seismological Society of America, v. 101, no. 5, p. 2281-2295, https://doi.org/10.1785/0120090312.","startPage":"2281","endPage":"2295","numberOfPages":"15","costCenters":[],"links":[{"id":215826,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090312"},{"id":243653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-26","publicationStatus":"PW","scienceBaseUri":"505aa74ae4b0c8380cd85325","contributors":{"authors":[{"text":"Lin, P.-S.","contributorId":14661,"corporation":false,"usgs":true,"family":"Lin","given":"P.-S.","email":"","affiliations":[],"preferred":false,"id":446007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiou, B.","contributorId":92398,"corporation":false,"usgs":true,"family":"Chiou","given":"B.","email":"","affiliations":[],"preferred":false,"id":446011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrahamson, N.","contributorId":60358,"corporation":false,"usgs":true,"family":"Abrahamson","given":"N.","affiliations":[],"preferred":false,"id":446009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walling, M.","contributorId":32009,"corporation":false,"usgs":true,"family":"Walling","given":"M.","email":"","affiliations":[],"preferred":false,"id":446008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, C.-T.","contributorId":75776,"corporation":false,"usgs":true,"family":"Lee","given":"C.-T.","email":"","affiliations":[],"preferred":false,"id":446010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cheng, C.-T.","contributorId":94124,"corporation":false,"usgs":true,"family":"Cheng","given":"C.-T.","email":"","affiliations":[],"preferred":false,"id":446012,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034479,"text":"70034479 - 2011 - On the use of log-transformation vs. nonlinear regression for analyzing biological power laws","interactions":[],"lastModifiedDate":"2021-04-19T20:46:04.466829","indexId":"70034479","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"On the use of log-transformation vs. nonlinear regression for analyzing biological power laws","docAbstract":"

Power‐law relationships are among the most well‐studied functional relationships in biology. Recently the common practice of fitting power laws using linear regression (LR) on log‐transformed data has been criticized, calling into question the conclusions of hundreds of studies. It has been suggested that nonlinear regression (NLR) is preferable, but no rigorous comparison of these two methods has been conducted. Using Monte Carlo simulations, we demonstrate that the error distribution determines which method performs better, with NLR better characterizing data with additive, homoscedastic, normal error and LR better characterizing data with multiplicative, heteroscedastic, lognormal error. Analysis of 471 biological power laws shows that both forms of error occur in nature. While previous analyses based on log‐transformation appear to be generally valid, future analyses should choose methods based on a combination of biological plausibility and analysis of the error distribution. We provide detailed guidelines and associated computer code for doing so, including a model averaging approach for cases where the error structure is uncertain.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-0538.1","issn":"00129658","usgsCitation":"Xiao, X., White, E., Hooten, M., and Durham, S., 2011, On the use of log-transformation vs. nonlinear regression for analyzing biological power laws: Ecology, v. 92, no. 10, p. 1887-1894, https://doi.org/10.1890/11-0538.1.","productDescription":"8 p.","startPage":"1887","endPage":"1894","costCenters":[],"links":[{"id":489034,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.26076/c731-dd92","text":"External Repository"},{"id":243654,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215827,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0538.1"}],"volume":"92","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6e0be4b0c8380cd75470","contributors":{"authors":[{"text":"Xiao, X.","contributorId":82869,"corporation":false,"usgs":true,"family":"Xiao","given":"X.","email":"","affiliations":[],"preferred":false,"id":446015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, E.P.","contributorId":69384,"corporation":false,"usgs":true,"family":"White","given":"E.P.","email":"","affiliations":[],"preferred":false,"id":446014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, M.B.","contributorId":50261,"corporation":false,"usgs":true,"family":"Hooten","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":446013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durham, S.L.","contributorId":94520,"corporation":false,"usgs":true,"family":"Durham","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":446016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034480,"text":"70034480 - 2011 - Trophic connections in Lake Superior Part I: the offshore fish community","interactions":[],"lastModifiedDate":"2012-12-26T16:36:19","indexId":"70034480","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Trophic connections in Lake Superior Part I: the offshore fish community","docAbstract":"Detailed diet linkages within the offshore (> 80 m bathymetric depth) food web of Lake Superior are currently not well identified. We used analyses of fish stomach contents to create an empirically based food web model of the Lake Superior offshore fish community. Stomachs were collected seasonally (spring, summer, and fall) from nine offshore locations in 2005, using bottom and midwater trawls. In total, 2643 stomachs representing 12 fish species were examined. The predominant fish species collected were deepwater sculpin (Myoxocephalus thompsonii), siscowet (Salvelinus namaycush siscowet), kiyi (Coregonus kiyi), and cisco (Coregonus artedi). Mysis diluviana was the most common prey item, indicating that changes in Mysis abundance could have a profound impact on the entire offshore food web. Mysis was the primary diet item of deepwater sculpin (≥ 53% by mass) and kiyi (≥ 96% by mass) regardless of depth or season. The invasive Bythotrephes was an important diet component of the pelagic cisco in summer and fall. Deepwater sculpin were the primary diet item of siscowet (≥ 52% by mass), with coregonines appearing in the diet of larger (> 400 mm) siscowet. Non-metric multidimensional scaling analysis indicated that there were no statistically significant seasonal or site-specific differences in diets of deepwater sculpin, cisco, or kiyi. Site was the primary structuring factor in siscowet diets. Generally, in Lake Superior, the diet items of the dominant offshore species did not appear to be in danger from those types of major ecological shifts occurring in the lower Laurentian Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2011.06.003","issn":"03801330","usgsCitation":"Gamble, A., Hrabik, T., Stockwell, J., and Yule, D., 2011, Trophic connections in Lake Superior Part I: the offshore fish community: Journal of Great Lakes Research, v. 37, no. 3, p. 541-549, https://doi.org/10.1016/j.jglr.2011.06.003.","productDescription":"9 p.","startPage":"541","endPage":"549","costCenters":[{"id":358,"text":"Lake Superior Biological Station","active":false,"usgs":true}],"links":[{"id":215855,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.06.003"},{"id":243686,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,46.41 ], [ -92.11,48.88 ], [ -84.35,48.88 ], [ -84.35,46.41 ], [ -92.11,46.41 ] ] ] } } ] }","volume":"37","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb883e4b08c986b3278d0","contributors":{"authors":[{"text":"Gamble, A.E.","contributorId":43193,"corporation":false,"usgs":true,"family":"Gamble","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":446018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, T.R.","contributorId":95250,"corporation":false,"usgs":true,"family":"Hrabik","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":446020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, J.D.","contributorId":19678,"corporation":false,"usgs":true,"family":"Stockwell","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":446017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, D.L.","contributorId":78853,"corporation":false,"usgs":true,"family":"Yule","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":446019,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034482,"text":"70034482 - 2011 - Refuge habitats for fishes during seasonal drying in an intermittent stream: Movement, survival and abundance of three minnow species","interactions":[],"lastModifiedDate":"2021-04-19T20:41:47.368478","indexId":"70034482","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Refuge habitats for fishes during seasonal drying in an intermittent stream: Movement, survival and abundance of three minnow species","docAbstract":"

Drought and summer drying can be important disturbance events in many small streams leading to intermittent or isolated habitats. We examined what habitats act as refuges for fishes during summer drying, hypothesizing that pools would act as refuge habitats. We predicted that during drying fish would show directional movement into pools from riffle habitats, survival rates would be greater in pools than in riffles, and fish abundance would increase in pool habitats. We examined movement, survival and abundance of three minnow species, bigeye shiner (Notropis boops), highland stoneroller (Campostoma spadiceum) and creek chub (Semotilus atromaculatus), during seasonal stream drying in an Ozark stream using a closed robust multi-strata mark-recapture sampling. Population parameters were estimated using plausible models within program MARK, where a priori models are ranked using Akaike’s Information Criterion. Creek chub showed directional movement into pools and increased survival and abundance in pools during drying. Highland stonerollers showed strong directional movement into pools and abundance increased in pools during drying, but survival rates were not significantly greater in pools than riffles. Bigeye shiners showed high movement rates during drying, but the movement was non-directional, and survival rates were greater in riffles than pools. Therefore, creek chub supported our hypothesis and pools appear to act as refuge habitats for this species, whereas highland stonerollers partly supported the hypothesis and bigeye shiners did not support the pool refuge hypothesis. Refuge habitats during drying are species dependent. An urgent need exists to further understand refuge habitats in streams given projected changes in climate and continued alteration of hydrological regimes.

","language":"English","publisher":"Springer Link","doi":"10.1007/s00027-011-0206-7","issn":"10151621","usgsCitation":"Hodges, S., and Magoulick, D., 2011, Refuge habitats for fishes during seasonal drying in an intermittent stream: Movement, survival and abundance of three minnow species: Aquatic Sciences, v. 73, no. 4, p. 513-522, https://doi.org/10.1007/s00027-011-0206-7.","productDescription":"10 p.","startPage":"513","endPage":"522","costCenters":[],"links":[{"id":243718,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00027-011-0206-7"}],"volume":"73","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-17","publicationStatus":"PW","scienceBaseUri":"50e4a450e4b0e8fec6cdbb25","contributors":{"authors":[{"text":"Hodges, S.W.","contributorId":98563,"corporation":false,"usgs":true,"family":"Hodges","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":446028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, D.D.","contributorId":80862,"corporation":false,"usgs":true,"family":"Magoulick","given":"D.D.","affiliations":[],"preferred":false,"id":446027,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036353,"text":"70036353 - 2011 - Management intensity alters decomposition via biological pathways","interactions":[],"lastModifiedDate":"2012-12-14T12:24:51","indexId":"70036353","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Management intensity alters decomposition via biological pathways","docAbstract":"Current conceptual models predict that changes in plant litter chemistry during decomposition are primarily regulated by both initial litter chemistry and the stage-or extent-of mass loss. Far less is known about how variations in decomposer community structure (e.g., resulting from different ecosystem management types) could influence litter chemistry during decomposition. Given the recent agricultural intensification occurring globally and the importance of litter chemistry in regulating soil organic matter storage, our objectives were to determine the potential effects of agricultural management on plant litter chemistry and decomposition rates, and to investigate possible links between ecosystem management, litter chemistry and decomposition, and decomposer community composition and activity. We measured decomposition rates, changes in litter chemistry, extracellular enzyme activity, microarthropod communities, and bacterial versus fungal relative abundance in replicated conventional-till, no-till, and old field agricultural sites for both corn and grass litter. After one growing season, litter decomposition under conventional-till was 20% greater than in old field communities. However, decomposition rates in no-till were not significantly different from those in old field or conventional-till sites. After decomposition, grass residue in both conventional- and no-till systems was enriched in total polysaccharides relative to initial litter, while grass litter decomposed in old fields was enriched in nitrogen-bearing compounds and lipids. These differences corresponded with differences in decomposer communities, which also exhibited strong responses to both litter and management type. Overall, our results indicate that agricultural intensification can increase litter decomposition rates, alter decomposer communities, and influence litter chemistry in ways that could have important and long-term effects on soil organic matter dynamics. We suggest that future efforts to more accurately predict soil carbon dynamics under different management regimes may need to explicitly consider how changes in litter chemistry during decomposition are influenced by the specific metabolic capabilities of the extant decomposer communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10533-010-9510-x","issn":"01682563","usgsCitation":"Wickings, K., Grandy, A.S., Reed, S., and Cleveland, C., 2011, Management intensity alters decomposition via biological pathways: Biogeochemistry, v. 104, no. 1-3, p. 365-379, https://doi.org/10.1007/s10533-010-9510-x.","productDescription":"15 p.","startPage":"365","endPage":"379","numberOfPages":"15","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":218315,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-010-9510-x"},{"id":246314,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"104","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2010-08-05","publicationStatus":"PW","scienceBaseUri":"505a4c68e4b0c8380cd69c2f","contributors":{"authors":[{"text":"Wickings, Kyle","contributorId":106355,"corporation":false,"usgs":true,"family":"Wickings","given":"Kyle","affiliations":[],"preferred":false,"id":455695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grandy, A. Stuart","contributorId":48009,"corporation":false,"usgs":true,"family":"Grandy","given":"A.","email":"","middleInitial":"Stuart","affiliations":[],"preferred":false,"id":455692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha","contributorId":70630,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","affiliations":[],"preferred":false,"id":455694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Cory","contributorId":60478,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","affiliations":[],"preferred":false,"id":455693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034486,"text":"70034486 - 2011 - Lower crustal relaxation beneath the Tibetan Plateau and Qaidam Basin following the 2001 Kokoxili earthquake","interactions":[],"lastModifiedDate":"2021-04-19T20:05:09.902462","indexId":"70034486","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Lower crustal relaxation beneath the Tibetan Plateau and Qaidam Basin following the 2001 Kokoxili earthquake","docAbstract":"

In 2001 November a magnitude 7.8 earthquake ruptured a 400 km long portion of the Kunlun fault, northeastern Tibet. In this study, we analyse over five years of post-seismic geodetic data and interpret the observed surface deformation in terms of stress relaxation in the thick Tibetan lower crust. We model GPS time-series (first year) and InSAR line of sight measurements (years two to five) and infer that the most likely mechanism of post-seismic stress relaxation is time-dependent distributed creep of viscoelastic material in the lower crust. Since a single relaxation time is not sufficient to model the observed deformation, viscous flow is modelled by a lower crustal Burgers rheology, which has two material relaxation times. The optimum model has a transient viscosity 9 × 1017 Pa s, steady-state viscosity 1 × 1019 Pa s and a ratio of long term to Maxwell shear modulus of 2:3. This model gives a good fit to GPS stations south of the Kunlun Fault, while displacements at stations north of the fault are over-predicted. We attribute this asymmetry in the GPS residual to lateral heterogeneity in rheological structure across the southern margin of the Qaidam Basin, with thinner crust/higher viscosities beneath the basin than beneath the Tibetan Plateau. Deep afterslip localized in a shear zone beneath the fault rupture gives a reasonable match to the observed InSAR data, but the slip model does not fit the earlier GPS data well. We conclude that while some localized afterslip likely occurred during the early post-seismic phase, the bulk of the observed deformation signal is due to viscous flow in the lower crust. To investigate regional variability in rheological structure, we also analyse post-seismic displacements following the 1997 Manyi earthquake that occurred 250 km west of the Kokoxili rupture. We find that viscoelastic properties are the same as for the Kokoxili area except for the transient viscosity, which is 5 × 1017 Pa s. The viscosities estimated for the Manyi and Kokoxili areas are consistent with constraints obtained from other earthquakes in the northwest and south central parts of the Tibetan Plateau.

","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2011.05179.x","issn":"0956540X","usgsCitation":"Ryder, I., Burgmann, R., and Pollitz, F., 2011, Lower crustal relaxation beneath the Tibetan Plateau and Qaidam Basin following the 2001 Kokoxili earthquake: Geophysical Journal International, v. 187, no. 2, p. 613-630, https://doi.org/10.1111/j.1365-246X.2011.05179.x.","startPage":"613","endPage":"630","numberOfPages":"18","costCenters":[],"links":[{"id":475204,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.05179.x","text":"Publisher Index Page"},{"id":243778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215941,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05179.x"}],"country":"China","otherGeospatial":"Tibetan Plateau and Qaidam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 88.59374999999999,\n 35.137879119634185\n ],\n [\n 96.9873046875,\n 35.137879119634185\n ],\n [\n 96.9873046875,\n 39.605688178320804\n ],\n [\n 88.59374999999999,\n 39.605688178320804\n ],\n [\n 88.59374999999999,\n 35.137879119634185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a4a7ce4b0c8380cd68ddc","contributors":{"authors":[{"text":"Ryder, I.","contributorId":11422,"corporation":false,"usgs":true,"family":"Ryder","given":"I.","email":"","affiliations":[],"preferred":false,"id":446040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgmann, R.","contributorId":10167,"corporation":false,"usgs":true,"family":"Burgmann","given":"R.","affiliations":[],"preferred":false,"id":446039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollitz, F.","contributorId":66449,"corporation":false,"usgs":true,"family":"Pollitz","given":"F.","affiliations":[],"preferred":false,"id":446041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034487,"text":"70034487 - 2011 - Mars Global Digital Dune Database (MGD3): North polar region (MC-1) distribution, applications, and volume estimates","interactions":[],"lastModifiedDate":"2021-04-19T19:46:43.827574","indexId":"70034487","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Mars Global Digital Dune Database (MGD3): North polar region (MC-1) distribution, applications, and volume estimates","docAbstract":"

The Mars Global Digital Dune Database (MGD3) now extends from 90°N to 65°S. The recently released north polar portion (MC‐1) of MGD3 adds ~844 000 km2 of moderate‐ to large‐size dark dunes to the previously released equatorial portion (MC‐2 to MC‐29) of the database. The database, available in GIS‐ and tabular‐format in USGS Open‐File Reports, makes it possible to examine global dune distribution patterns and to compare dunes with other global data sets (e.g. atmospheric models). MGD3 can also be used by researchers to identify areas suitable for more focused studies. The utility of MGD3 is demonstrated through three example applications. First, the uneven geographic distribution of the dunes is discussed and described. Second, dune‐derived wind direction and its role as ground truth for atmospheric models is reviewed. Comparisons between dune‐derived winds and global and mesoscale atmospheric models suggest that local topography may have an important influence on dune‐forming winds. Third, the methods used here to estimate north polar dune volume are presented and these methods and estimates (1130 km3 to 3250 km3) are compared with those of previous researchers (1158 km3 to 15 000 km3). In the near future, MGD3 will be extended to include the south polar region.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.2219","issn":"01979337","usgsCitation":"Hayward, R., 2011, Mars Global Digital Dune Database (MGD3): North polar region (MC-1) distribution, applications, and volume estimates: Earth Surface Processes and Landforms, v. 36, no. 14, p. 1967-1972, https://doi.org/10.1002/esp.2219.","productDescription":"6 p.","startPage":"1967","endPage":"1972","numberOfPages":"6","costCenters":[],"links":[{"id":243779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215942,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.2219"}],"volume":"36","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-09-22","publicationStatus":"PW","scienceBaseUri":"505a520ce4b0c8380cd6c10c","contributors":{"authors":[{"text":"Hayward, R.K.","contributorId":31885,"corporation":false,"usgs":true,"family":"Hayward","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":446042,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034493,"text":"70034493 - 2011 - Dynamic habitat selection by two wading bird species with divergent foraging strategies in a seasonally fluctuating wetland","interactions":[],"lastModifiedDate":"2017-06-07T13:44:04","indexId":"70034493","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic habitat selection by two wading bird species with divergent foraging strategies in a seasonally fluctuating wetland","docAbstract":"

Seasonal and annual variation in food availability during the breeding season plays an influential role in the population dynamics of many avian species. In highly dynamic ecosystems like wetlands, finding and exploiting food resources requires a flexible behavioral response that may produce different population trends that vary with a species' foraging strategy. We quantified dynamic foraging-habitat selection by breeding and radiotagged White Ibises (Eudocimus albus) and Great Egrets (Ardea alba) in the Florida Everglades, where fluctuation in food resources is pronounced because of seasonal drying and flooding. The White Ibis is a tactile “searcher” species in population decline that specializes on highly concentrated prey, whereas the Great Egret, in a growing population, is a visual “exploiter” species that requires lower prey concentrations. In a year with high food availability, resource-selection functions for both species included variables that changed over multiannual time scales and were associated with increased prey production. In a year with low food availability, resource-selection functions included short-term variables that concentrated prey (e.g., water recession rates and reversals in drying pattern), which suggests an adaptive response to poor foraging conditions. In both years, the White Ibis was more restricted in its use of habitats than the Great Egret. Real-time species—habitat suitability models were developed to monitor and assess the daily availability and quality of spatially explicit habitat resources for both species. The models, evaluated through hindcasting using independent observations, demonstrated that habitat use of the more specialized White Ibis was more accurately predicted than that of the more generalist Great Egret.

","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2011.10165","issn":"00048038","usgsCitation":"Beerens, J.M., Gawlik, D.E., Herring, G., and Cook, M.I., 2011, Dynamic habitat selection by two wading bird species with divergent foraging strategies in a seasonally fluctuating wetland: The Auk, v. 128, no. 4, p. 651-662, https://doi.org/10.1525/auk.2011.10165.","productDescription":"12 p.","startPage":"651","endPage":"662","costCenters":[],"links":[{"id":475198,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2011.10165","text":"Publisher Index Page"},{"id":243875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0425e4b0c8380cd507f4","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":446067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":446068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":446069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Mark I.","contributorId":7104,"corporation":false,"usgs":false,"family":"Cook","given":"Mark","email":"","middleInitial":"I.","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":446066,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032703,"text":"70032703 - 2011 - A mass-balance model to separate and quantify colloidal and solute redistributions in soil","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032703","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":"A mass-balance model to separate and quantify colloidal and solute redistributions in soil","docAbstract":"Studies of weathering and pedogenesis have long used calculations based upon low solubility index elements to determine mass gains and losses in open systems. One of the questions currently unanswered in these settings is the degree to which mass is transferred in solution (solutes) versus suspension (colloids). Here we show that differential mobility of the low solubility, high field strength (HFS) elements Ti and Zr can trace colloidal redistribution, and we present a model for distinguishing between mass transfer in suspension and solution. The model is tested on a well-differentiated granitic catena located in Kruger National Park, South Africa. Ti and Zr ratios from parent material, soil and colloidal material are substituted into a mixing equation to quantify colloidal movement. The results show zones of both colloid removal and augmentation along the catena. Colloidal losses of 110kgm-2 (-5% relative to parent material) are calculated for one eluviated soil profile. A downslope illuviated profile has gained 169kgm-2 (10%) colloidal material. Elemental losses by mobilization in true solution are ubiquitous across the catena, even in zones of colloidal accumulation, and range from 1418kgm-2 (-46%) for an eluviated profile to 195kgm-2 (-23%) at the bottom of the catena. Quantification of simultaneous mass transfers in solution and suspension provide greater specificity on processes within soils and across hillslopes. Additionally, because colloids include both HFS and other elements, the ability to quantify their redistribution has implications for standard calculations of soil mass balances using such index elements. ?? 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2011.01.014","issn":"00092541","usgsCitation":"Bern, C., Chadwick, O., Hartshorn, A., Khomo, L., and Chorover, J., 2011, A mass-balance model to separate and quantify colloidal and solute redistributions in soil: Chemical Geology, v. 282, no. 3-4, p. 113-119, https://doi.org/10.1016/j.chemgeo.2011.01.014.","startPage":"113","endPage":"119","numberOfPages":"7","costCenters":[],"links":[{"id":241695,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214010,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.01.014"}],"volume":"282","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e44ae4b0c8380cd46558","contributors":{"authors":[{"text":"Bern, C.R.","contributorId":40165,"corporation":false,"usgs":true,"family":"Bern","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":437553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chadwick, O.A.","contributorId":15219,"corporation":false,"usgs":true,"family":"Chadwick","given":"O.A.","email":"","affiliations":[],"preferred":false,"id":437551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartshorn, A.S.","contributorId":55656,"corporation":false,"usgs":true,"family":"Hartshorn","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":437554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khomo, L.M.","contributorId":76955,"corporation":false,"usgs":true,"family":"Khomo","given":"L.M.","affiliations":[],"preferred":false,"id":437555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chorover, J.","contributorId":30051,"corporation":false,"usgs":false,"family":"Chorover","given":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":437552,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034503,"text":"70034503 - 2011 - Century-scale variability in global annual runoff examined using a water balance model","interactions":[],"lastModifiedDate":"2021-04-19T19:06:37.261724","indexId":"70034503","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Century-scale variability in global annual runoff examined using a water balance model","docAbstract":"

A monthly water balance model (WB model) is used with CRUTS2.1 monthly temperature and precipitation data to generate time series of monthly runoff for all land areas of the globe for the period 1905 through 2002. Even though annual precipitation accounts for most of the temporal and spatial variability in annual runoff, increases in temperature have had an increasingly negative effect on annual runoff after 1980. Although the effects of increasing temperature on runoff became more apparent after 1980, the relative magnitude of these effects are small compared to the effects of precipitation on global runoff.

","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.2198","issn":"08998418","usgsCitation":"McCabe, G., and Wolock, D., 2011, Century-scale variability in global annual runoff examined using a water balance model: International Journal of Climatology, v. 31, no. 12, p. 1739-1748, https://doi.org/10.1002/joc.2198.","productDescription":"10 p.","startPage":"1739","endPage":"1748","costCenters":[],"links":[{"id":475168,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/joc.2198","text":"Publisher Index Page"},{"id":243533,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215711,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/joc.2198"}],"volume":"31","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-09-28","publicationStatus":"PW","scienceBaseUri":"5059f3f5e4b0c8380cd4ba58","contributors":{"authors":[{"text":"McCabe, G.J. 0000-0002-9258-2997","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":12961,"corporation":false,"usgs":true,"family":"McCabe","given":"G.J.","affiliations":[],"preferred":false,"id":446115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":446116,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034510,"text":"70034510 - 2011 - Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques","interactions":[],"lastModifiedDate":"2021-04-19T17:29:29.863775","indexId":"70034510","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques","docAbstract":"

Time–exposure intensity (averaged) images are commonly used to locate the nearshore sandbar position (xb), based on the cross-shore locations of maximum pixel intensity (xi) of the bright bands in the images. It is not known, however, how the breaking patterns seen in Variance images (i.e. those created through standard deviation of pixel intensity over time) are related to the sandbar locations. We investigated the suitability of both Time–exposure and Variance images for sandbar detection within a multiple bar system on the southern coast of Brazil, and verified the relation between wave breaking patterns, observed as bands of high intensity in these images and cross-shore profiles of modeled wave energy dissipation (xD). Not only is Time–exposure maximum pixel intensity location (xi-Ti) well related to xb, but also to the maximum pixel intensity location of Variance images (xi-Va), although the latter was typically located 15 m offshore of the former. In addition, xi-Va was observed to be better associated with xD even though xi-Ti is commonly assumed as maximum wave energy dissipation. Significant wave height (Hs) and water level (η) were observed to affect the two types of images in a similar way, with an increase in both Hs and η resulting in xi shifting offshore. This η-induced xi variability has an opposite behavior to what is described in the literature, and is likely an indirect effect of higher waves breaking farther offshore during periods of storm surges. Multiple regression models performed on xi, Hs and η allowed the reduction of the residual errors between xb and xi, yielding accurate estimates with most residuals less than 10 m. Additionally, it was found that the sandbar position was best estimated using xi-Ti (xi-Va) when xb was located shoreward (seaward) of its mean position, for both the first and the second bar. Although it is unknown whether this is an indirect hydrodynamic effect or is indeed related to the morphology, we found that this behavior can be explored to optimize sandbar estimation using video imagery, even in the absence of hydrodynamic data.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.09.015","issn":"00253227","usgsCitation":"Guedes, R., Calliari, L., Holland, K.T., Plant, N., Pereira, P., and Alves, F., 2011, Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques: Marine Geology, v. 289, no. 1-4, p. 122-134, https://doi.org/10.1016/j.margeo.2011.09.015.","productDescription":"13 p.","startPage":"122","endPage":"134","costCenters":[],"links":[{"id":243624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215798,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2011.09.015"}],"volume":"289","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8ec6e4b08c986b318b36","contributors":{"authors":[{"text":"Guedes, R.M.C.","contributorId":87775,"corporation":false,"usgs":true,"family":"Guedes","given":"R.M.C.","email":"","affiliations":[],"preferred":false,"id":446145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calliari, L.J.","contributorId":80509,"corporation":false,"usgs":true,"family":"Calliari","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":446144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, K. T.","contributorId":61013,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":446142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":446146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pereira, P.S.","contributorId":74981,"corporation":false,"usgs":true,"family":"Pereira","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":446143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alves, F.N.A.","contributorId":59649,"corporation":false,"usgs":true,"family":"Alves","given":"F.N.A.","email":"","affiliations":[],"preferred":false,"id":446141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034514,"text":"70034514 - 2011 - Responses of ecosystem carbon cycling to climate change treatments along an elevation gradient","interactions":[],"lastModifiedDate":"2012-12-10T16:51:37","indexId":"70034514","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Responses of ecosystem carbon cycling to climate change treatments along an elevation gradient","docAbstract":"Global temperature increases and precipitation changes are both expected to alter ecosystem carbon (C) cycling. We tested responses of ecosystem C cycling to simulated climate change using field manipulations of temperature and precipitation across a range of grass-dominated ecosystems along an elevation gradient in northern Arizona. In 2002, we transplanted intact plant–soil mesocosms to simulate warming and used passive interceptors and collectors to manipulate precipitation. We measured daytime ecosystem respiration (ER) and net ecosystem C exchange throughout the growing season in 2008 and 2009. Warming generally stimulated ER and photosynthesis, but had variable effects on daytime net C exchange. Increased precipitation stimulated ecosystem C cycling only in the driest ecosystem at the lowest elevation, whereas decreased precipitation showed no effects on ecosystem C cycling across all ecosystems. No significant interaction between temperature and precipitation treatments was observed. Structural equation modeling revealed that in the wetter-than-average year of 2008, changes in ecosystem C cycling were more strongly affected by warming-induced reduction in soil moisture than by altered precipitation. In contrast, during the drier year of 2009, warming induced increase in soil temperature rather than changes in soil moisture determined ecosystem C cycling. Our findings suggest that warming exerted the strongest influence on ecosystem C cycling in both years, by modulating soil moisture in the wet year and soil temperature in the dry year.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10021-011-9464-4","issn":"14329840","usgsCitation":"Wu, Z., Koch, G.W., Dijkstra, P., Bowker, M.A., and Hungate, B.A., 2011, Responses of ecosystem carbon cycling to climate change treatments along an elevation gradient: Ecosystems, v. 14, no. 7, p. 1066-1080, https://doi.org/10.1007/s10021-011-9464-4.","productDescription":"15 p.","startPage":"1066","endPage":"1080","numberOfPages":"15","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":215857,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-011-9464-4"},{"id":243688,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.8166,31.3322 ], [ -114.8166,37.0043 ], [ -109.0452,37.0043 ], [ -109.0452,31.3322 ], [ -114.8166,31.3322 ] ] ] } } ] }","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-07","publicationStatus":"PW","scienceBaseUri":"505aaa96e4b0c8380cd863fe","contributors":{"authors":[{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":446156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, George W.","contributorId":7522,"corporation":false,"usgs":true,"family":"Koch","given":"George","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":446157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dijkstra, Paul","contributorId":28823,"corporation":false,"usgs":true,"family":"Dijkstra","given":"Paul","email":"","affiliations":[],"preferred":false,"id":446158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":446155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hungate, Bruce A.","contributorId":100639,"corporation":false,"usgs":true,"family":"Hungate","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446159,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034515,"text":"70034515 - 2011 - Large shift in source of fine sediment in the upper Mississippi River","interactions":[],"lastModifiedDate":"2021-04-20T12:12:30.228932","indexId":"70034515","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Large shift in source of fine sediment in the upper Mississippi River","docAbstract":"

Although sediment is a natural constituent of rivers, excess loading to rivers and streams is a leading cause of impairment and biodiversity loss. Remedial actions require identification of the sources and mechanisms of sediment supply. This task is complicated by the scale and complexity of large watersheds as well as changes in climate and land use that alter the drivers of sediment supply. Previous studies in Lake Pepin, a natural lake on the Mississippi River, indicate that sediment supply to the lake has increased 10-fold over the past 150 years. Herein we combine geochemical fingerprinting and a suite of geomorphic change detection techniques with a sediment mass balance for a tributary watershed to demonstrate that, although the sediment loading remains very large, the dominant source of sediment has shifted from agricultural soil erosion to accelerated erosion of stream banks and bluffs, driven by increased river discharge. Such hydrologic amplification of natural erosion processes calls for a new approach to watershed sediment modeling that explicitly accounts for channel and floodplain dynamics that amplify or dampen landscape processes. Further, this finding illustrates a new challenge in remediating nonpoint sediment pollution and indicates that management efforts must expand from soil erosion to factors contributing to increased water runoff.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/es2019109","issn":"0013936X","usgsCitation":"Belmont, P., Gran, K., Schottler, S., Wilcock, P., Day, S., Jennings, C., Lauer, J., Viparelli, E., Willenbring, J., Engstrom, D., and Parker, G., 2011, Large shift in source of fine sediment in the upper Mississippi River: Environmental Science & Technology, v. 45, no. 20, p. 8804-8810, https://doi.org/10.1021/es2019109.","productDescription":"7 p.","startPage":"8804","endPage":"8810","costCenters":[],"links":[{"id":243689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-09-15","publicationStatus":"PW","scienceBaseUri":"505a4485e4b0c8380cd66b90","contributors":{"authors":[{"text":"Belmont, P.","contributorId":67322,"corporation":false,"usgs":true,"family":"Belmont","given":"P.","email":"","affiliations":[],"preferred":false,"id":446165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gran, K.B.","contributorId":44688,"corporation":false,"usgs":true,"family":"Gran","given":"K.B.","affiliations":[],"preferred":false,"id":446164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schottler, S.P.","contributorId":20491,"corporation":false,"usgs":true,"family":"Schottler","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":446160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilcock, P.R.","contributorId":36709,"corporation":false,"usgs":true,"family":"Wilcock","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":446162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, S.S.","contributorId":42805,"corporation":false,"usgs":true,"family":"Day","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":446163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, C.","contributorId":78536,"corporation":false,"usgs":true,"family":"Jennings","given":"C.","email":"","affiliations":[],"preferred":false,"id":446166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lauer, J.W.","contributorId":104303,"corporation":false,"usgs":true,"family":"Lauer","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viparelli, E.","contributorId":97344,"corporation":false,"usgs":true,"family":"Viparelli","given":"E.","email":"","affiliations":[],"preferred":false,"id":446168,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Willenbring, J.K.","contributorId":107960,"corporation":false,"usgs":true,"family":"Willenbring","given":"J.K.","affiliations":[],"preferred":false,"id":446170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Engstrom, D.R.","contributorId":88496,"corporation":false,"usgs":true,"family":"Engstrom","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":446167,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Parker, G.","contributorId":31112,"corporation":false,"usgs":true,"family":"Parker","given":"G.","affiliations":[],"preferred":false,"id":446161,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70034516,"text":"70034516 - 2011 - Diffuse Pacific-North American plate boundary: 1000 km of dextral shear inferred from modeling geodetic data","interactions":[],"lastModifiedDate":"2021-04-20T12:10:44.717204","indexId":"70034516","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Diffuse Pacific-North American plate boundary: 1000 km of dextral shear inferred from modeling geodetic data","docAbstract":"

Geodetic measurements tell us that the eastern part of the Basin and Range Province expands in an east-west direction relative to stable North America, whereas the western part of the province moves to the northwest. We develop three-dimensional finite element representations of the western United States lithosphere in an effort to understand the global positioning system (GPS) signal. The models are constrained by known bounding-block velocities and topography, and Basin and Range Province deformation is represented by simple plastic (thermal creep) rheology. We show that active Basin and Range spreading by gravity collapse is expected to have a strong southward component that does not match the GPS signal. We can reconcile the gravitational component of displacement with observed velocity vectors if the Pacific plate applies northwest-directed shear stress to the Basin and Range via the Sierra Nevada block. This effect reaches at least 1000 km east of the San Andreas fault in our models.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G32176.1","issn":"00917613","usgsCitation":"Parsons, T., and Thatcher, W., 2011, Diffuse Pacific-North American plate boundary: 1000 km of dextral shear inferred from modeling geodetic data: Geology, v. 39, no. 10, p. 943-946, https://doi.org/10.1130/G32176.1.","productDescription":"4 p.","startPage":"943","endPage":"946","costCenters":[],"links":[{"id":243720,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.46533203125,\n 38.92522904714054\n ],\n [\n -117.35595703124999,\n 38.92522904714054\n ],\n [\n -117.35595703124999,\n 40.896905775860006\n ],\n [\n -119.46533203125,\n 40.896905775860006\n ],\n [\n -119.46533203125,\n 38.92522904714054\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a010de4b0c8380cd4fa8f","contributors":{"authors":[{"text":"Parsons, T.","contributorId":48288,"corporation":false,"usgs":true,"family":"Parsons","given":"T.","email":"","affiliations":[],"preferred":false,"id":446172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thatcher, W.","contributorId":32669,"corporation":false,"usgs":true,"family":"Thatcher","given":"W.","email":"","affiliations":[],"preferred":false,"id":446171,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036352,"text":"70036352 - 2011 - The significance of turbulent flow representation in single-continuum models","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036352","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The significance of turbulent flow representation in single-continuum models","docAbstract":"Karst aquifers exhibit highly conductive features caused from rock dissolution processes. Flow within these structures can become turbulent and therefore can be expressed by nonlinear gradient functions. One way to account for these effects is by coupling a continuum model with a conduit network. Alternatively, turbulent flow can be considered by adapting the hydraulic conductivity within the continuum model. Consequently, the significance of turbulent flow on the dynamic behavior of karst springs is investigated by an enhanced single-continuum model that results in conduit-type flow in continuum cells (CTFC). The single-continuum approach CTFC represents laminar and turbulent flow as well as more complex hybrid models that require additional programming and numerical efforts. A parameter study is conducted to investigate the effects of turbulent flow on the response of karst springs to recharge events using the new CTFC approach, existing hybrid models, and MODFLOW-2005. Results reflect the importance of representing (1) turbulent flow in karst conduits and (2) the exchange between conduits and continuum cells. More specifically, laminar models overestimate maximum spring discharge and underestimate hydraulic gradients within the conduit. It follows that aquifer properties inferred from spring hydrographs are potentially impaired by ignoring flow effects due to turbulence. The exchange factor used for hybrid models is necessary to account for the scale dependency between hydraulic properties of the matrix continuum and conduits. This functionality, which is not included in CTFC, can be mimicked by appropriate use of the Horizontal Flow Barrier package for MODFLOW. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR010133","issn":"00431397","usgsCitation":"Reimann, T., Rehrl, C., Shoemaker, W., Geyer, T., and Birk, S., 2011, The significance of turbulent flow representation in single-continuum models: Water Resources Research, v. 47, no. 9, https://doi.org/10.1029/2010WR010133.","costCenters":[],"links":[{"id":218314,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR010133"},{"id":246313,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bb034e4b08c986b324ccb","contributors":{"authors":[{"text":"Reimann, Thomas","contributorId":45536,"corporation":false,"usgs":true,"family":"Reimann","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":455689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rehrl, C.","contributorId":33938,"corporation":false,"usgs":true,"family":"Rehrl","given":"C.","email":"","affiliations":[],"preferred":false,"id":455687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoemaker, W.B. 0000-0002-7680-377X","orcid":"https://orcid.org/0000-0002-7680-377X","contributorId":51889,"corporation":false,"usgs":true,"family":"Shoemaker","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":455690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geyer, T.","contributorId":87791,"corporation":false,"usgs":true,"family":"Geyer","given":"T.","email":"","affiliations":[],"preferred":false,"id":455691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birk, S.","contributorId":41182,"corporation":false,"usgs":true,"family":"Birk","given":"S.","email":"","affiliations":[],"preferred":false,"id":455688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034521,"text":"70034521 - 2011 - Transient electromagnetic study of basin fill sediments in the Upper San Pedro Basin, Mexico","interactions":[],"lastModifiedDate":"2021-04-19T16:16:16.717025","indexId":"70034521","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Transient electromagnetic study of basin fill sediments in the Upper San Pedro Basin, Mexico","docAbstract":"

The Upper San Pedro River Basin in Mexico and the United States is an important riparian corridor that is coming under increasing pressure from growing populations and the associated increase in groundwater withdrawal. Several studies have produced three-dimensional maps of the basin fill sediments in the US portion of the basin but little work has been done in the Mexican portion of the basin. Here, the results of a ground-based transient electromagnetic (TEM) survey in the Upper San Pedro Basin, Mexico are presented. These basin fill sediments are characterized by a 10–40 m deep unsaturated surficial zone which is composed primarily of sands and gravels. In the central portion of the basin this unsaturated zone is usually underlain by a shallow clay layer 20–50 m thick. Beneath this may be more clay, as is usually the case near the San Pedro River, or interbedded sand, silt, and clay to a depth of 200–250 m. As you move away from the river, the upper clay layer disappears and the amount of sand in the sediments increases. At 1–2 km away from the river, sands can occupy up to 50% of the upper 200–250 m of the sediment fill. Below this, clays are always present except where bedrock highs are observed. This lower clay layer begins at a depth of about 200 m in the central portion of the basin (250 m or more at distances greater than 1–2 km from the river) and extends to the bottom of most profiles to depths of 400 m. While the depth of the top of this lower clay layer is probably accurate, its thickness observed in the models may be overestimated due to the relatively low magnetic moment of the TEM system used in this study. The inversion routine used for interpretation is based on a one-dimensional geologic model. This is a layer based model that is isotropic in both the x and y directions. Several survey soundings did not meet this requirement which invalidates the inversion process and the resulting interpretation at these locations. The results from these locations were rejected.

","language":"English","publisher":"Springer Link","doi":"10.1007/s12665-011-1031-y","issn":"18666280","usgsCitation":"Bultman, M., and Gray, F., 2011, Transient electromagnetic study of basin fill sediments in the Upper San Pedro Basin, Mexico: Environmental Earth Sciences, v. 64, no. 8, p. 2091-2106, https://doi.org/10.1007/s12665-011-1031-y.","productDescription":"16 p.","startPage":"2091","endPage":"2106","numberOfPages":"16","costCenters":[],"links":[{"id":243781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215944,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12665-011-1031-y"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper San Pedro Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.76416015625,\n 30.968189296794247\n ],\n [\n -109.808349609375,\n 30.968189296794247\n ],\n [\n -109.808349609375,\n 32.722598604044066\n ],\n [\n -110.76416015625,\n 32.722598604044066\n ],\n [\n -110.76416015625,\n 30.968189296794247\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-04-09","publicationStatus":"PW","scienceBaseUri":"505bb6fde4b08c986b326fb9","contributors":{"authors":[{"text":"Bultman, M.W.","contributorId":107306,"corporation":false,"usgs":true,"family":"Bultman","given":"M.W.","affiliations":[],"preferred":false,"id":446190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, F.","contributorId":87270,"corporation":false,"usgs":true,"family":"Gray","given":"F.","affiliations":[],"preferred":false,"id":446189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034522,"text":"70034522 - 2011 - Time-lapse three-dimensional inversion of complex conductivity data using an active time constrained (ATC) approach","interactions":[],"lastModifiedDate":"2021-04-19T16:04:54.788454","indexId":"70034522","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Time-lapse three-dimensional inversion of complex conductivity data using an active time constrained (ATC) approach","docAbstract":"

Induced polarization (more precisely the magnitude and phase of impedance of the subsurface) is measured using a network of electrodes located at the ground surface or in boreholes. This method yields important information related to the distribution of permeability and contaminants in the shallow subsurface. We propose a new time-lapse 3-D modelling and inversion algorithm to image the evolution of complex conductivity over time. We discretize the subsurface using hexahedron cells. Each cell is assigned a complex resistivity or conductivity value. Using the finite-element approach, we model the in-phase and out-of-phase (quadrature) electrical potentials on the 3-D grid, which are then transformed into apparent complex resistivity. Inhomogeneous Dirichlet boundary conditions are used at the boundary of the domain. The calculation of the Jacobian matrix is based on the principles of reciprocity. The goal of time-lapse inversion is to determine the change in the complex resistivity of each cell of the spatial grid as a function of time. Each model along the time axis is called a ‘reference space model’. This approach can be simplified into an inverse problem looking for the optimum of several reference space models using the approximation that the material properties vary linearly in time between two subsequent reference models. Regularizations in both space domain and time domain reduce inversion artefacts and improve the stability of the inversion problem. In addition, the use of the time-lapse equations allows the simultaneous inversion of data obtained at different times in just one inversion step (4-D inversion). The advantages of this new inversion algorithm are demonstrated on synthetic time-lapse data resulting from the simulation of a salt tracer test in a heterogeneous random material described by an anisotropic semi-variogram.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-246X.2011.05156.x","issn":"0956540X","usgsCitation":"Karaoulis, M., Revil, A., Werkema, D., Minsley, B., Woodruff, W., and Kemna, A., 2011, Time-lapse three-dimensional inversion of complex conductivity data using an active time constrained (ATC) approach: Geophysical Journal International, v. 187, no. 1, p. 237-251, https://doi.org/10.1111/j.1365-246X.2011.05156.x.","productDescription":"15 p.","startPage":"237","endPage":"251","costCenters":[],"links":[{"id":475212,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-00680765","text":"External Repository"},{"id":243812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215974,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05156.x"}],"volume":"187","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-17","publicationStatus":"PW","scienceBaseUri":"505bb3c8e4b08c986b325fc2","contributors":{"authors":[{"text":"Karaoulis, M.","contributorId":77762,"corporation":false,"usgs":true,"family":"Karaoulis","given":"M.","email":"","affiliations":[],"preferred":false,"id":446196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revil, A.","contributorId":49627,"corporation":false,"usgs":true,"family":"Revil","given":"A.","affiliations":[],"preferred":false,"id":446191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werkema, D.D.","contributorId":60021,"corporation":false,"usgs":true,"family":"Werkema","given":"D.D.","affiliations":[],"preferred":false,"id":446194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, B. J.","contributorId":52107,"corporation":false,"usgs":true,"family":"Minsley","given":"B. J.","affiliations":[],"preferred":false,"id":446193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodruff, W.F.","contributorId":49628,"corporation":false,"usgs":true,"family":"Woodruff","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":446192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemna, A.","contributorId":72223,"corporation":false,"usgs":true,"family":"Kemna","given":"A.","email":"","affiliations":[],"preferred":false,"id":446195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}