Maps of geoelectric amplitude covering about half the continental United States are presented that will be exceeded, on average, once per century in response to an extreme-intensity geomagnetic disturbance. These maps are constructed using an empirical parameterization of induction: convolving latitude-dependent statistical maps of extreme-value geomagnetic disturbances, obtained from decades of 1-minute magnetic observatory data, with local estimates of Earth-surface impedance obtained at discrete geographic sites from magnetotelluric surveys. Geoelectric amplitudes are estimated for geomagnetic waveforms having a 240-s (and 1200-s) sinusoidal period and amplitudes over 10 min (1 h) that exceed a once-per-century threshold. As a result of the combination of geographic differences in geomagnetic variation and Earth-surface impedance, once-per-century geoelectric amplitudes span more than two orders of magnitude and are a highly granular function of location. Specifically for north-south 240-s induction, once-per-century geoelectric amplitudes across large parts of the United States have a median value of 0.34 V/km; for east-west variation, they have a median value of 0.23 V/km. In Northern Minnesota, amplitudes exceed 14.00 V/km for north-south geomagnetic variation (23.34 V/km for east-west variation), while just over 100 km away, amplitudes are only 0.08 V/km (0.02 V/km). At some sites in the northern-central United States, once-per-century geoelectric amplitudes exceed the 2 V/km realized in Québec during the March 1989 storm.
Thaw lakes are ubiquitous on arctic coastal plains (ACPs). While many thaw lakes have steep banks, stable water levels, and static surface areas, others only partially fill their basins and vary in area over the summer. These partially drained lakes (PDLs) are hydrologically connected to the wetlands immediately surrounding them. Heat and nutrient availability limit aquatic productivity on ACPs, and we hypothesized that shallow shorelines and greater hydrologic connectivity with the landscape should result in greater nutrient concentrations and biogeochemical cycling in PDLs. We tested this by monitoring water chemistry in lakes with varying levels of seasonal drainage in sandy and silty peaty lowland sites on the ACP of Alaska. One highly drained lake (N1) was significantly warmer than minimally drained lakes (minDLs) related to earlier ice off, reaching temperatures as high as 16 °C in June when minDLs still contained ice. Ammonia, total dissolved phosphorus, and dissolved organic carbon and nitrogen concentrations were higher in lakes with greater drainage, and concentrations in N1 rivaled those in the small, biologically productive ponds. Many PDLs displayed a midsummer decrease in nutrients consistent with assimilation by the aquatic ecosystem, and a late‐summer increase most likely related to runoff from drained lake margins following precipitation. N1 exported kilograms of ammonium and total dissolved phosphorus to the stream network over the summer. Given increased warming and drying in the arctic, the proportion of PDLs may be changing, which in turn may affect nutrient and organic matter availability in arctic lakes and export to downstream environments.
","language":"English","publisher":"Wiley","doi":"10.1002/2017JG004187","usgsCitation":"Koch, J.C., Fondell, T.F., Schmutz, J.A., and Laske, S.M., 2018, Nutrient dynamics in partially drained arctic thaw lakes: Journal of Geophysical Research: Biogeosciences, v. 123, no. 2, p. 440-452, https://doi.org/10.1002/2017JG004187.","productDescription":"13 p.","startPage":"440","endPage":"452","ipdsId":"IP-085121","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":469103,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004187","text":"Publisher Index Page"},{"id":438061,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BC3XHJ","text":"USGS data release","linkHelpText":"Arctic Coastal Plain Seasonal Lake Drainage, Water Temperature, and Solute and Nutrient Concentrations, 2011 - 2014"},{"id":356006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-02-17","publicationStatus":"PW","scienceBaseUri":"5b6fc4cbe4b0f5d57878eacc","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fondell, Tom F. tfondell@usgs.gov","contributorId":3563,"corporation":false,"usgs":true,"family":"Fondell","given":"Tom","email":"tfondell@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":741072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741074,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196764,"text":"70196764 - 2018 - Effects of sea lamprey substrate modification and carcass nutrients on macroinvertebrate assemblages in a small Atlantic coastal stream","interactions":[],"lastModifiedDate":"2018-05-01T13:33:23","indexId":"70196764","displayToPublicDate":"2018-01-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sea lamprey substrate modification and carcass nutrients on macroinvertebrate assemblages in a small Atlantic coastal stream","docAbstract":"Aquatic macroinvertebrates respond to patch dynamics arising from interactions of physical and chemical disturbances across space and time. Anadromous fish, such as sea lamprey, Petromyzon marinus, migrate from the ocean and alter physical and chemical properties of recipient spawning streams. Sea lamprey disturb stream benthos physically through nest construction and spawning, and enrich food webs through nutrient deposition from decomposing carcasses. Sea lamprey spawning nests support greater macroinvertebrate abundance than adjacent reference areas, but concurrent effects of stream bed modification and nutrient supplementation have not been examined sequentially. We added carcasses and cleared substrate experimentally to mimic the physical disturbance and nutrient enrichment associated with lamprey spawning, and characterized effects on macroinvertebrate assemblage structure. We found that areas receiving cleared substrate and carcass nutrients were colonized largely by Simuliidae compared to upstream and downstream control areas that were colonized largely by Hydropsychidae, Philopotamidae, and Chironomidae. Environmental factors such as stream flow likely shape assemblages by physically constraining macroinvertebrate establishment and feeding. Our results indicate potential changes in macroinvertebrate assemblages from the physical and chemical changes to streams brought by spawning populations of sea lamprey.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2017.1417168","usgsCitation":"Weaver, D.M., Coghlan, S.M., and Zydlewski, J.D., 2018, Effects of sea lamprey substrate modification and carcass nutrients on macroinvertebrate assemblages in a small Atlantic coastal stream: Journal of Freshwater Ecology, v. 33, no. 1, p. 19-30, https://doi.org/10.1080/02705060.2017.1417168.","productDescription":"12 p.","startPage":"19","endPage":"30","ipdsId":"IP-087200","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2017.1417168","text":"Publisher Index Page"},{"id":353880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.7850570678711,\n 44.73411331996726\n ],\n [\n -68.7630844116211,\n 44.73411331996726\n ],\n [\n -68.7630844116211,\n 44.7703805495189\n ],\n [\n -68.7850570678711,\n 44.7703805495189\n ],\n [\n -68.7850570678711,\n 44.73411331996726\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5afee751e4b0da30c1bfc232","contributors":{"authors":[{"text":"Weaver, Daniel M.","contributorId":145786,"corporation":false,"usgs":false,"family":"Weaver","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":734292,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70249334,"text":"70249334 - 2018 - Mapping forest change using stacked generalization: An ensemble approach","interactions":[],"lastModifiedDate":"2023-10-04T22:07:19.998682","indexId":"70249334","displayToPublicDate":"2018-01-01T16:49:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Mapping forest change using stacked generalization: An ensemble approach","docAbstract":"The ever-increasing volume and accessibility of remote sensing data has spawned many alternative approaches for mapping important environmental features and processes. For example, there are several viable but highly varied strategies for using time series of Landsat imagery to detect changes in forest cover. Performance among algorithms varies across complex natural systems, and it is reasonable to ask if aggregating the strengths of an ensemble of classifiers might result in increased overall accuracy. Relatively simple rules have been used in the past to aggregate classifications among remotely sensed maps (e.g. using majority predictions), and in other fields, empirical models have been used to create situationally specific algorithm weights. The latter process, called “stacked generalization” (or “stacking”), typically uses a parametric model for the fusion of algorithm outputs. We tested the performance of several leading forest disturbance detection algorithms against ensembles of the outputs of those same algorithms based upon stacking using both parametric and Random Forests-based fusion rules. Stacking using a Random Forests model cut omission and commission error rates in half in many cases in relation to individual change detection algorithms, and cut error rates by one quarter compared to more conventional parametric stacking. Stacking also offers two auxiliary benefits: alignment of outputs to the precise definitions built into a particular set of empirical calibration data; and, outputs which may be adjusted such that map class totals match independent estimates of change in each year. In general, ensemble predictions improve when new inputs are added that are both informative and uncorrelated with existing ensemble components. As increased use of cloud-based computing makes ensemble mapping methods more accessible, the most useful new algorithms may be those that specialize in providing spectral, temporal, or thematic information not already available through members of existing ensembles.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2017.09.029","usgsCitation":"Healey, S.P., Cohen, W., Yang, Z., Brewer, C.K., Brooks, E.B., Gorelick, N., Hernandez, A.J., Huang, C., Hughes, M.J., Kennedy, R.E., Loveland, T., Moisen, G.G., Schroeder, T.A., Stehman, S.V., Vogelmann, J., Woodcock, C.E., Yang, L., and Zhu, Z., 2018, Mapping forest change using stacked generalization: An ensemble approach: Remote Sensing of Environment, v. 204, p. 717-728, https://doi.org/10.1016/j.rse.2017.09.029.","productDescription":"12 p.","startPage":"717","endPage":"728","ipdsId":"IP-087348","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2017.09.029","text":"Publisher Index 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We present photographic evidence of 4 different wading bird species depredating adult Asian Swamp Eels in Georgia and Florida herein. Photographs taken by wildlife enthusiasts could provide a means for early detection of the Asian Swamp Eel and other aquatic species that are challenging to detect in waterways.
","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/058.017.0408","usgsCitation":"Taylor, A.T., Long, J.M., and von Scmeling, H., 2018, Photographs of wading bird depredation events to monitor invasion extent of Asian Swamp Eel (Monopterus albus): Southeastern Naturalist, v. 17, no. 4, p. N72-N76, https://doi.org/10.1656/058.017.0408.","productDescription":"5 p.","startPage":"N72","endPage":"N76","ipdsId":"IP-096090","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Chattahoochee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.078125,\n 33.25706340236547\n ],\n [\n -85.078125,\n 33.30298618122413\n ],\n [\n -85.330810546875,\n 33.119150226768866\n ],\n [\n -85.25390625,\n 32.85190345738802\n ],\n [\n -85.10009765625,\n 32.37068286611427\n ],\n [\n -85.242919921875,\n 32.0639555946604\n ],\n [\n -85.220947265625,\n 31.62532121329918\n ],\n [\n -85.20996093749999,\n 31.50362930577303\n ],\n [\n -85.177001953125,\n 31.156408414557\n ],\n [\n -84.990234375,\n 30.89279747750818\n ],\n [\n -84.88037109375,\n 30.62845887475364\n ],\n [\n -84.6826171875,\n 30.817346256492073\n ],\n [\n -84.891357421875,\n 31.175209828310845\n ],\n [\n -84.990234375,\n 31.774877618507386\n ],\n [\n -84.825439453125,\n 32.41706632846282\n ],\n [\n -85.05615234375,\n 32.79651010951669\n ],\n [\n -85.078125,\n 33.25706340236547\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Andrew T.","contributorId":274252,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":832842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"von Scmeling, H.","contributorId":274253,"corporation":false,"usgs":false,"family":"von Scmeling","given":"H.","email":"","affiliations":[{"id":56584,"text":"Chattahoochee Nature Center","active":true,"usgs":false}],"preferred":false,"id":832843,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199960,"text":"70199960 - 2018 - High resolution water body mapping for SWAT evaporative modelling in the Upper Oconee watershed of Georgia, USA","interactions":[],"lastModifiedDate":"2018-10-05T14:44:36","indexId":"70199960","displayToPublicDate":"2018-01-01T14:44:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"High resolution water body mapping for SWAT evaporative modelling in the Upper Oconee watershed of Georgia, USA","docAbstract":"Technological improvements in remote sensing and geographic information systems have demonstrated the abundance of artificially constructed water bodies across the landscape. Although research has shown the ubiquity of small ponds globally, and in the southeastern United States in particular, their cumulative impact in terms of evaporative alteration is less well quantified. The objectives of this study are to examine the hydrologic and evaporative importance of small artificial water bodies in the Upper Oconee watershed in the northern Georgia Piedmont, USA, by mapping their locations and modelling these small reservoirs using the Soil Water Assessment Tool. Comparative Soil Water Assessment Tool models were run with and without the inclusion of small reservoir surface area and volume. The models used meteorological inputs from 1990–2013 to represent years with drought, high precipitation, and moderate precipitation for both the calibration and evaluation periods. Statistical comparison of streamflow indicated that the calibration methodology produced results where the default model simulation without reservoirs fit observed flows more closely than the modified model with small reservoirs included (e.g., Nash–Sutcliffe efficiency of 0.72 vs. 0.64, r2 of 0.73 vs. 0.66, and percent bias of 11.4 vs. 21.6). In addition, Penman–Monteith, Hargreaves, and Priestley–Taylor evapotranspiration equations were used to estimate actual evaporation from 2,219 small water bodies identified throughout the 1,936.8 km2 watershed. Depending on the evaporation equation used, water bodies evaporated an average of 0.03–0.036 km3/year for the period 2003–2013. Using Penman–Monteith further, if the reservoirs were not considered and average actual evapotranspiration rates from the rest of the basin were applied, only 0.016 km3 of water would have left the basin as a result of evapotranspiration. This finding suggests construction of small reservoirs increased evaporation by an average of 0.017 km3 per year (approximately 46,500 m3/day). As the construction of small reservoirs continues and high resolution image data used to map these water bodies becomes increasingly available, watershed models that evolve to address the cumulative impacts of small water bodies on evaporation and other hydrologic processes will have greater potential to benefit the water resource management community.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11398","usgsCitation":"Ignatius, A., and Jones, J., 2018, High resolution water body mapping for SWAT evaporative modelling in the Upper Oconee watershed of Georgia, USA: Hydrological Processes, v. 32, no. 1, p. 51-65, https://doi.org/10.1002/hyp.11398.","productDescription":"15 p.","startPage":"51","endPage":"65","ipdsId":"IP-073606","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.11398","text":"Publisher Index Page"},{"id":358190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Upper Oconee watershed","volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5bc0304de4b0fc368eb539ec","contributors":{"authors":[{"text":"Ignatius, Amber R. 0000-0002-2636-836X","orcid":"https://orcid.org/0000-0002-2636-836X","contributorId":193407,"corporation":false,"usgs":false,"family":"Ignatius","given":"Amber R.","affiliations":[],"preferred":false,"id":747475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":747474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199946,"text":"70199946 - 2018 - Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India","interactions":[],"lastModifiedDate":"2018-10-05T14:30:40","indexId":"70199946","displayToPublicDate":"2018-01-01T14:30:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3478,"text":"Stochastic Environmental Research and Risk Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India","docAbstract":"The area east of Varanasi is one of numerous places along the watershed of the Ganges River with groundwater concentrations of arsenic surpassing the maximum value of 10 parts per billion (ppb) recommended by the World Health Organization in drinking water. Here we apply geostatistics and compositional data analysis for the mapping of arsenic and iron to help in understanding the conditions leading to the occurrence of elevated level of arsenic in groundwater. The methodology allows for displaying concentrations of arsenic and iron as maps consistent with the limited information from 95 water wells across an area of approximately 210 km2; visualization of the uncertainty associated with the sampling; and summary of the findings in the form of probability maps. For thousands of years, Varanasi has been on the erosional side in a meander of the river that is free of arsenic values above 10 ppb. Maps reveal two anomalies of high arsenic concentrations on the depositional side of the valley, which has started seeing urban development. The methodology using geostatistics combined with compositional data analysis is completely general, so this study could be used as a prototype for hydrochemistry mapping in other areas.
","language":"English","publisher":"Springer","doi":"10.1007/s00477-017-1390-3","usgsCitation":"Olea, R., Raju, N.J., Egozcue, J.J., Pawlowsky-Glahn, V., and Singh, S., 2018, Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India: Stochastic Environmental Research and Risk Assessment, v. 32, no. 1, p. 241-259, https://doi.org/10.1007/s00477-017-1390-3.","productDescription":"19 p.","startPage":"241","endPage":"259","ipdsId":"IP-102331","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469109,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10256/14599","text":"External Repository"},{"id":358185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"Uttar Pradesh","city":"Varanasi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 82.94094085693358,\n 25.22171429348812\n ],\n [\n 83.16032409667969,\n 25.22171429348812\n ],\n [\n 83.16032409667969,\n 25.353644304321104\n ],\n [\n 82.94094085693358,\n 25.353644304321104\n ],\n [\n 82.94094085693358,\n 25.22171429348812\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-13","publicationStatus":"PW","scienceBaseUri":"5bc0304de4b0fc368eb539ee","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":747416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raju, N. Janardhana","contributorId":208504,"corporation":false,"usgs":false,"family":"Raju","given":"N.","email":"","middleInitial":"Janardhana","affiliations":[],"preferred":false,"id":747476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egozcue, Juan J.","contributorId":208010,"corporation":false,"usgs":false,"family":"Egozcue","given":"Juan","email":"","middleInitial":"J.","affiliations":[{"id":37677,"text":"Dept. Civil and Environmental Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":747477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pawlowsky-Glahn, Vera","contributorId":208011,"corporation":false,"usgs":false,"family":"Pawlowsky-Glahn","given":"Vera","email":"","affiliations":[{"id":37678,"text":"Dept. Informatics, Applied Matematics and Statistics, Universitat de Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":747478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Shubhra","contributorId":208505,"corporation":false,"usgs":false,"family":"Singh","given":"Shubhra","email":"","affiliations":[],"preferred":false,"id":747479,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199759,"text":"70199759 - 2018 - Characterizing aquatic habitats for long‐term monitoring of a fourth‐order, regulated river in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2018-09-27T13:53:21","indexId":"70199759","displayToPublicDate":"2018-01-01T13:53:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing aquatic habitats for long‐term monitoring of a fourth‐order, regulated river in the Pacific Northwest, USA","docAbstract":"A pragmatic approach to the long‐term monitoring of rivers leverages available information with targeted field investigations to address key uncertainties relevant to management decisions. An over‐arching management issue for many rivers is how reservoir operation affects the amount and location of in‐channel sediment and the resulting distribution of aquatic habitats. We integrate remotely acquired and field‐survey morphologic data for the Cedar River, Washington, to constitute the current status of aquatic habitats and benchmarks for long‐term monitoring that will inform streamflow management. Four key habitats (river edge, side channels, riffles, and pools) are feasible to monitor with high‐resolution aerial imagery, a longitudinal profile of the river, and a side channel inventory, but full characterization of the functional differences within these habitats requires additional information. Habitat use information such as redd surveys will continue to be important for long‐term monitoring where it cannot be inferred reliably from physical habitat characteristics.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3230","usgsCitation":"Konrad, C.P., Burton, K., Little, R., Gendaszek, A.S., Munn, M.D., and Anderson, S.W., 2018, Characterizing aquatic habitats for long‐term monitoring of a fourth‐order, regulated river in the Pacific Northwest, USA: River Research and Applications, v. 34, no. 1, p. 24-33, https://doi.org/10.1002/rra.3230.","productDescription":"10 p.","startPage":"24","endPage":"33","ipdsId":"IP-084622","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":469110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3230","text":"Publisher Index Page"},{"id":357837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 46\n ],\n [\n -120,\n 46\n ],\n [\n -120,\n 49\n ],\n [\n -124,\n 49\n ],\n [\n -124,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5bc0304de4b0fc368eb539f0","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, K.","contributorId":208244,"corporation":false,"usgs":false,"family":"Burton","given":"K.","email":"","affiliations":[],"preferred":false,"id":746516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Little, R.","contributorId":208245,"corporation":false,"usgs":false,"family":"Little","given":"R.","email":"","affiliations":[],"preferred":false,"id":746517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":107001,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":746520,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198374,"text":"70198374 - 2018 - Barataria and Terrebonne Bays: Chapter F in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","interactions":[],"lastModifiedDate":"2018-08-31T12:28:47","indexId":"70198374","displayToPublicDate":"2018-01-01T12:01:32","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Barataria and Terrebonne Bays: Chapter F in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","title":"Barataria and Terrebonne Bays: Chapter F in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","docAbstract":"The study area included in the Barataria and Terrebonne Bays vignette of\nsoutheastern Louisiana spans eastward from Terrebonne Bay to Barataria Bay (Figure 1)\nand includes portions of Terrebonne, Lafourche, St. Charles, Jefferson, Orleans,\nPlaquemines, and St. Bernard Parishes. This area falls between the Mississippi River on\nthe east and northeast, extends down through the western shore of Lake Salvador and the\nDixie Delta Canal, then runs west to Houma and follows Louisiana Route 315 to the\ncoast; Barataria and Terrebonne Bays are separated from each other by Bayou Lafourche.","largerWorkTitle":"Emergent Wetlands Status and Trends in the Northern Gulf of Mexico: 1950-2010 report","conferenceTitle":"2013 Gulf of Mexico Alliance (GOMA) All Hands Meeting","conferenceDate":"June 25-27, 2013","language":"English","usgsCitation":"Lawrence Handley, Spear, K.A., Zapletal, M., Thatcher, C.A., Jones, W.R., and Wilson, S.A., 2018, Barataria and Terrebonne Bays: Chapter F in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010, 25 p.","productDescription":"25 p.","startPage":"1","endPage":"24","ipdsId":"IP-096196","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":357000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356093,"type":{"id":15,"text":"Index Page"},"url":"https://gom.usgs.gov/web/documents/Chapter_F_BaratariaTerrebonneBays.pdf"}],"country":"United States","state":"Louisiana ","otherGeospatial":"Barataria Bay; Terrebonne Bay","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a317e4b0702d0e843028","contributors":{"authors":[{"text":"Lawrence Handley","contributorId":206612,"corporation":false,"usgs":false,"family":"Lawrence Handley","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":741279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Kathryn A. 0000-0001-8942-2856 speark@usgs.gov","orcid":"https://orcid.org/0000-0001-8942-2856","contributorId":1949,"corporation":false,"usgs":true,"family":"Spear","given":"Kathryn","email":"speark@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zapletal, Mirka","contributorId":206613,"corporation":false,"usgs":false,"family":"Zapletal","given":"Mirka","email":"","affiliations":[{"id":25340,"text":"Cherokee Nation Technologies","active":true,"usgs":false}],"preferred":false,"id":741280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":741281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Scott A. 0000-0001-8055-8618 wilsons@usgs.gov","orcid":"https://orcid.org/0000-0001-8055-8618","contributorId":2360,"corporation":false,"usgs":true,"family":"Wilson","given":"Scott","email":"wilsons@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":741283,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227935,"text":"70227935 - 2018 - Resilience in environmental risk and impact assessment: Concepts and measurement","interactions":[],"lastModifiedDate":"2022-02-02T17:55:51.208195","indexId":"70227935","displayToPublicDate":"2018-01-01T11:51:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Resilience in environmental risk and impact assessment: Concepts and measurement","docAbstract":"Different resilience concepts have different assumptions about system dynamics, which has implications for resilience-based environmental risk and impact assessment. Engineering resilience (recovery) dominates in the risk assessment literature but this definition does not account for the possibility of ecosystems to exist in multiple regimes. In this paper we discuss resilience concepts and quantification methods. Specifically, we discuss when a system fails to show engineering resilience after disturbances, indicating a shift to a potentially undesired regime. We show quantification methods that can assess the stability of this new regime to inform managers about possibilities to transform the system to a more desired regime. We point out the usefulness of an adaptive inference, modelling and management approach that is based on reiterative testing of hypothesis. This process facilitates learning about, and reduces uncertainty arising from risk and impact.
","language":"English","publisher":"Springer","doi":"10.1007/s00128-018-2467-5","usgsCitation":"Angeler, D.G., Allen, C.R., Garmestani, A.S., Pope, K.L., Twidwell, D., and Bundschuh, M., 2018, Resilience in environmental risk and impact assessment: Concepts and measurement: Bulletin of Environmental Contamination and Toxicology, v. 101, p. 543-548, https://doi.org/10.1007/s00128-018-2467-5.","productDescription":"6 p.","startPage":"543","endPage":"548","ipdsId":"IP-095048","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00128-018-2467-5","text":"Publisher Index Page"},{"id":395286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","noUsgsAuthors":false,"publicationDate":"2018-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":205240,"corporation":false,"usgs":false,"family":"Angeler","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":37065,"text":"Swedish University of Agricultural Sciences, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":832610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":832614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bundschuh, Mirco","contributorId":205001,"corporation":false,"usgs":false,"family":"Bundschuh","given":"Mirco","email":"","affiliations":[],"preferred":false,"id":832615,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228293,"text":"70228293 - 2018 - Dietary bioprocessed soybean meal does not affect the growth of exercised juvenile rainbow trout (Oncorhynchus mykiss)","interactions":[],"lastModifiedDate":"2022-02-08T17:00:03.049296","indexId":"70228293","displayToPublicDate":"2018-01-01T10:59:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10102,"text":"Journal of Animal Research and Nutrition","onlineIssn":"2572-5459","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dietary bioprocessed soybean meal does not affect the growth of exercised juvenile rainbow trout (Oncorhynchus mykiss)","title":"Dietary bioprocessed soybean meal does not affect the growth of exercised juvenile rainbow trout (Oncorhynchus mykiss)","docAbstract":"Context: This 88-day experiment evaluated the rearing performance of juvenile rainbow trout (Oncorhynchus mykiss) fed one of three isonitrogenous and isocaloric diets and reared at velocities of either 2.3 or 18.7 cm s-1.
Objective: Evaluate the effects of diet and exercise during rainbow trout rearing.
Design: Fishmeal was the primary protein source for one diet, with bioprocessed soybean meal (BSM) replacing either 60 or 85% of the fishmeal in the other two diets.
Setting: This study was performed at Cleghorn Springs State Fish Hatchery in Rapid City, South Dakota, USA.
Results: At the end of the experiment there were no significant differences among the dietary treatments in gain, percent gain, specific growth rate (SGR), or percent mortality. However, fish fed the fishmeal-based diet ate significantly more, experienced a significantly higher feed conversion ratio (FCR), and had a significantly higher hepatosomatic index than the fish fed the 85% BSM diet. Intestinal histology was not affected by the inclusion of BSM. Fish reared at 2.3 cm/s-1 had significantly lower FCRs, gain, percent gain, and SGR than the fish reared at 18.7 cm/ s-1. There was a significant interaction in food consumed between diet and velocity, but no other significant interactions between the dietary and exercise treatments were observed.
Conclusion: Based on these results, BSM can replace at least 85% of the fishmeal in juvenile rainbow trout, even if the fish are exercised.
","language":"English","publisher":"iMedPub","doi":"10.21767/2572-5459.100050","usgsCitation":"Voorhees, J.M., Barnes, M., Chipps, S.R., and Browne, M., 2018, Dietary bioprocessed soybean meal does not affect the growth of exercised juvenile rainbow trout (Oncorhynchus mykiss): Journal of Animal Research and Nutrition, v. 3, no. 2, p. 1-13, https://doi.org/10.21767/2572-5459.100050.","productDescription":"6, 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-097690","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469112,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21767/2572-5459.100050","text":"Publisher Index Page"},{"id":395630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","city":"Rapid City","otherGeospatial":"Cleghorn Springs State Fish Hatchery","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.304443359375,\n 44.05554907062273\n ],\n [\n -103.28588247299194,\n 44.05554907062273\n ],\n [\n -103.28588247299194,\n 44.06245723037078\n ],\n [\n -103.304443359375,\n 44.06245723037078\n ],\n [\n -103.304443359375,\n 44.05554907062273\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Voorhees, Jill M.","contributorId":275085,"corporation":false,"usgs":false,"family":"Voorhees","given":"Jill","email":"","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":833624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Michael","contributorId":275086,"corporation":false,"usgs":false,"family":"Barnes","given":"Michael","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":833625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Browne, Michael","contributorId":178752,"corporation":false,"usgs":false,"family":"Browne","given":"Michael","email":"","affiliations":[],"preferred":false,"id":833626,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202569,"text":"70202569 - 2018 - Correlation of the Eagle Ford Group, Woodbine Group, and equivalent Cenomanian-Turonian Mudstones using regional wireline-log cross sections across the Texas Gulf Coast, U.S.A.","interactions":[],"lastModifiedDate":"2019-03-12T10:48:40","indexId":"70202569","displayToPublicDate":"2018-01-01T10:48:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Correlation of the Eagle Ford Group, Woodbine Group, and equivalent Cenomanian-Turonian Mudstones using regional wireline-log cross sections across the Texas Gulf Coast, U.S.A.","docAbstract":"As part of the U.S. Geological Survey’s 2018 hydrocarbon assessment of the Eagle Ford Group and associated Cenomanian-Turonian strata, a series of regional wireline-log cross sections were constructed to examine geologic characteristics of this stratigraphic interval across the Texas Gulf Coast from Mexico to Louisiana. The cross sections were used to help define six continuous assessment units based, in part, on stratigraphic thickness, lateral extent, and lithology. The locations of the strike and dip cross sections were selected to address questions pertinent to the hydrocarbon assessment.
Stratigraphic correlation of the Eagle Ford Group and corresponding Cenomanian-Turonian mudstones has been debated for many years, and differences in interpretations remain. Formation tops published in the literature, from IHS MarkitTM, as well as information from a commercial biostratigraphic database were used to define consistent criteria to construct these cross sections from interpreted wireline logs. Specific units of interest include the Austin Chalk, upper and lower Eagle Ford Group, mudstones of the Woodbine Group, and the Buda Limestone.
Wireline gamma-ray (GR) logs through the Eagle Ford Group have values greater than 100 American Petroleum Institute (API) units in several areas of this study, including the Maverick Basin, the Karnes Trough, and the Brazos Basin. High GR values in mudstones may be interpreted to represent potential organic-rich intervals. These high GR zones provide a criterion to identify the lateral variability in potential Cenomanian-Turonian source rock intervals from South Texas to the Texas-Louisiana border.
","language":"English","publisher":"AAPG Datapages","usgsCitation":"Gianoutsos, N.J., Whidden, K.J., Dubiel, R.F., and Rouse, W.A., 2018, Correlation of the Eagle Ford Group, Woodbine Group, and equivalent Cenomanian-Turonian Mudstones using regional wireline-log cross sections across the Texas Gulf Coast, U.S.A.: Gulf Coast Association of Geological Societies Transactions, v. 68, p. 219-228.","productDescription":"10 p.","startPage":"219","endPage":"228","ipdsId":"IP-098051","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361943,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/068/068001/219_gcags680219.htm"},{"id":362004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rouse, William A. 0000-0002-0790-370X wrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0790-370X","contributorId":4172,"corporation":false,"usgs":true,"family":"Rouse","given":"William","email":"wrouse@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202542,"text":"70202542 - 2018 - Preface: The wetland book, I: Structure and function, management, and methods","interactions":[],"lastModifiedDate":"2019-03-11T13:32:25","indexId":"70202542","displayToPublicDate":"2018-01-01T10:42:42","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Preface: The Wetland Book, I: Structure and Function, Management, and Methods","title":"Preface: The wetland book, I: Structure and function, management, and methods","docAbstract":"The Wetland Book is a hard copy and online production that provides an unparalleled collation of information on wetlands. It is global in scope and contains 462 chapters prepared by leading wetland researchers and managers. The wide disciplinary and geographic scope is a unique feature and differentiates The Wetland Book from the existing wetland literature. The editors have compiled The Wetland Book from contributions supplied by authors from many countries and disciplines. Combined, these chapters represent a global source of knowledge about wetlands. Given the number of chapters and the scope of the content, it has been published as two separate books.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The wetland book, I: Structure, function, management, and methods","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-9659-3","usgsCitation":"Finlayson, C.M., Everard, M., Irvine, K., McInnes, R.J., Middleton, B.A., Van Dam, A., and Davidson, N.C., 2018, Preface: The wetland book, I: Structure and function, management, and methods, chap. of The wetland book, I: Structure, function, management, and methods, v. 1, p. vii-x, https://doi.org/10.1007/978-90-481-9659-3.","productDescription":"4 p.","startPage":"vii","endPage":"x","ipdsId":"IP-083463","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488795,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/the-wetland-book-i-structure-and-function-management-and-methods","text":"External Repository"},{"id":361872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Finlayson, C. Max","contributorId":214053,"corporation":false,"usgs":false,"family":"Finlayson","given":"C.","email":"","middleInitial":"Max","affiliations":[{"id":38968,"text":"Institute for Land, Water and Society, Charles Sturt University, Albury, Australia","active":true,"usgs":false}],"preferred":false,"id":759036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Everard, Mark","contributorId":194901,"corporation":false,"usgs":false,"family":"Everard","given":"Mark","email":"","affiliations":[],"preferred":false,"id":759037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kenneth","contributorId":194902,"corporation":false,"usgs":false,"family":"Irvine","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":759039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McInnes, Robert J.","contributorId":194900,"corporation":false,"usgs":false,"family":"McInnes","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":759038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":759035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Dam, Anne A.","contributorId":68175,"corporation":false,"usgs":true,"family":"Van Dam","given":"Anne A.","affiliations":[],"preferred":false,"id":759040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davidson, Nick C.","contributorId":80553,"corporation":false,"usgs":true,"family":"Davidson","given":"Nick","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":759041,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228715,"text":"70228715 - 2018 - Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2017","interactions":[],"lastModifiedDate":"2022-09-13T15:26:39.880503","indexId":"70228715","displayToPublicDate":"2018-01-01T09:47:20","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2017","docAbstract":"This Annual Report summarizes results of grizzly bear (Ursus arctos) monitoring and research conducted in the Greater Yellowstone Ecosystem (GYE) by the Interagency Grizzly Bear Study Team (IGBST) during 2017. This report also contains a summary of grizzly bear management actions to address conflict situations. Annual reports of the IGBST summarize annual data collection. Because additional information may be obtained after publication, data summaries are subject to change. Data, analyses, and summaries presented in this report supersede previously published data and analyses and interpretations may be subject to change contingent on future manuscript publication and the peer review process. The research described in this report complied with current laws of the United States of America, was conducted in accordance with animal care and use guidelines, and was approved by Institutional Animal Care and Use Committees of the respective member agencies.
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This approach permits explicit assessment of several types of uncertainty (e.g., self-assigned uncertainty for stakeholders; uncertainty across respondents, watersheds, and subsystems), and subjectivity in perceptions of resilience among key actors and decision makers and provides an efficient way to develop the mental models that inform our stakeholders and stakeholder categories.
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We propose a fully polynomial-time approximation scheme based on Dynamic Programming (DP) for computing a polynomially succinct curve that approximates the Pareto frontier to within an arbitrarily small \u000F > 0 on treestructured networks. Given a set of objectives, our approximation scheme runs in time polynomial in the size of the instance and 1/\u000F. We also propose a Mixed Integer Programming (MIP) scheme to approximate the Pareto frontier. The DP and MIP Pareto frontier approaches have complementary strengths and are surprisingly effective. We provide empirical results showing that our methods outperform other approaches in efficiency and accuracy. Our work is motivated by a problem in computational sustainability concerning the proliferation of hydropower dams throughout the Amazon basin. Our goal is to support decision-makers in evaluating impacted ecosystem services on the full scale of the Amazon basin. Our work is general and can be applied to approximate the Pareto frontier of a variety of multiobjective problems on tree-structured networks.
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We analyzed walleye (Sander vitreus) recruitment to age-0 in 359 lakes in Wisconsin, USA, to (i) quantify the relationship between annual water temperature degree days (DD) and walleye recruitment success and (ii) identify the influence of lake characteristics — area, conductivity, largemouth bass (Micropterus salmoides) catch rates, and mean DD — on this relationship. The relationship between walleye recruitment and annual DD varied among lakes and was not distinguishable from zero overall (posterior mean = −0.11, 90% CI = −0.34, 0.15). DD effects on recruitment were negative in 198 lakes (55%) and positive in 161 (45%). The effect of annual DD was most negative in lakes with high largemouth bass densities, and, on average, the probability of recruitment was highest in large lakes with low largemouth bass densities. Conductivity and mean DD influenced neither recruitment nor the effect of annual DD. Walleye recruitment was most resilient to warming in lakes with few largemouth bass, suggesting that the effects of climate change depend on lake-specific food-web and habitat contexts.
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A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":733887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":733886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196688,"text":"70196688 - 2018 - The electric storm of November 1882","interactions":[],"lastModifiedDate":"2018-04-24T16:54:46","indexId":"70196688","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The electric storm of November 1882","docAbstract":"In November 1882, an intense magnetic storm related to a large sunspot group caused widespread interference to telegraph and telephone systems and provided spectacular and unusual auroral displays. The (ring current) storm time disturbance index for this storm reached maximum −Dst ≈ 386 nT, comparable to Halloween storm of 29–31 October 2003, but from 17 to 20 November the aa midlatitude geomagnetic disturbance index averaged 214.25 nT, the highest 4 day level of disturbance since the beginning of aa index in 1868. This storm contributed to scientists' understanding of the reality of solar‐terrestrial interaction. Past occurrences of magnetic storms, like that of November 1882, can inform modern evaluations of the deleterious effects that a magnetic superstorm might have on technological systems of importance to society.
","language":"English","publisher":"AGU","doi":"10.1002/2017SW001795","usgsCitation":"Love, J.J., 2018, The electric storm of November 1882: Space Weather, v. 16, no. 1, p. 37-46, https://doi.org/10.1002/2017SW001795.","productDescription":"10 p.","startPage":"37","endPage":"46","ipdsId":"IP-093138","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":353686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-12","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc23f","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":733973,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195292,"text":"70195292 - 2018 - Ecotypic variation in population dynamics of reintroduced bighorn sheep","interactions":[],"lastModifiedDate":"2018-03-29T16:55:30","indexId":"70195292","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Ecotypic variation in population dynamics of reintroduced bighorn sheep","docAbstract":"Selection of bighorn sheep (Ovis canadensis) for translocation historically has been motivated by preservation of subspecific purity rather than by adaptation of source stocks to similar environments. Our objective was to estimate cause‐specific, annual, and age‐specific mortality of introduced bighorn sheep that originated at low elevations in southern British Columbia, Canada (BC ecotype), or in the Missouri River Breaks region of central Montana, USA (MT ecotype). In North Dakota, USA, mortality was similar and typically low for adult female bighorn sheep from Montana (0.09 ± 0.029 [SE]) and British Columbia (0.08 ± 0.017) during 2000–2016. Median life expectancy was 11 years for females that reached adulthood (2 yrs old); however, mortality accelerated with age and reached 86% by age 16. Mortalities resulted primarily from low rates of predation, disease, accidents, and unknown natural causes (<0.04 [upper 90% CI]). Similar survival rates of female bighorn sheep from female bighorn sheep from British Columbia and Montana, coupled with greater recruitment of bighorn sheep from Montana, resulted in a greater projected rate of increase for the MT ecotype (λ = 1.21) than for the BC ecotype (1.02), and a more youthful age structure. These results support translocation of bighorn sheep from areas that are environmentally similar to areas that will be stocked. Potential benefits include more rapid population growth, greater resilience to and more rapid recovery from density‐independent losses, an increased possibility that rapidly growing populations will expand into adjacent habitat, increased hunter opportunity, increased connectivity among herds, and a more complete restoration of ecosystem processes.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21381","usgsCitation":"Bleich, V.C., Sargeant, G.A., and Wiedmann, B.P., 2018, Ecotypic variation in population dynamics of reintroduced bighorn sheep: Journal of Wildlife Management, v. 82, no. 1, p. 8-18, https://doi.org/10.1002/jwmg.21381.","productDescription":"11 p.","startPage":"8","endPage":"18","ipdsId":"IP-082937","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21381","text":"Publisher Index Page"},{"id":352979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc263","contributors":{"authors":[{"text":"Bleich, Vernon C.","contributorId":202185,"corporation":false,"usgs":false,"family":"Bleich","given":"Vernon","email":"","middleInitial":"C.","affiliations":[{"id":36362,"text":"Univ of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":727768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargeant, Glen A. 0000-0003-3845-8503 gsargeant@usgs.gov","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":1301,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen","email":"gsargeant@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiedmann, Brett P.","contributorId":202186,"corporation":false,"usgs":false,"family":"Wiedmann","given":"Brett","email":"","middleInitial":"P.","affiliations":[{"id":36363,"text":"ND Game and Fish Dept","active":true,"usgs":false}],"preferred":false,"id":727769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196583,"text":"70196583 - 2018 - Insights into the emplacement of upper-crustal plutons and their relationship to large silicic calderas, from field relationships, geochronology, and zircon trace element geochemistry in the Stillwater – Clan Alpine caldera complex, western Nevada, USA","interactions":[],"lastModifiedDate":"2018-04-19T09:38:42","indexId":"70196583","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Insights into the emplacement of upper-crustal plutons and their relationship to large silicic calderas, from field relationships, geochronology, and zircon trace element geochemistry in the Stillwater – Clan Alpine caldera complex, western Nevada, USA","docAbstract":"Geologic mapping, new U-Pb zircon ages, and new and published 40Ar/39Ar sanidine ages document the timing and extent of Oligocene magmatism in the southern Stillwater Range and Clan Alpine Mountains of western Nevada, where Miocene extension has exposed at least six nested silicic calderas and underlying granitic plutons to crustal depths locally ≥ 9 km. Both caldera-forming rhyolitic tuffs and underlying plutons were emplaced in two episodes, one from about 30.4–28.2 Ma that included the Deep Canyon, Job Canyon, and Campbell Creek calderas and underlying plutons, and one from about 25.3–24.8 Ma that included the Louderback Mountains, Poco Canyon, and Elevenmile Canyon calderas and underlying plutons. In these two 1–2 m.y. periods, almost the entire Mesozoic upper crust was replaced by Oligocene intrusive and extrusive rocks to depths ≥ 9 km over an estimated total area of ~ 1500 km2 (pre-extension). Zircon trace element geochemistry indicates that some plutonic rock can be solidified residual magma from the tuff eruptions. Most plutons are not solidified residual magma, although they directly underlie calderas and were emplaced along the same structures shortly after to as much as one million years after caldera formation. Magma chambers and plutons grew by floor subsidence accommodated by downward transfer of country rocks. If other Great Basin calderas are similar, the dense concentration of shallowly exposed calderas in central Nevada is underlain by a complexly zoned mid-Cenozoic batholith assembled in discrete pulses that coincided with formation of large silicic calderas up to 2500–5000 km3.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.10.015","usgsCitation":"Colgan, J.P., John, D.A., Henry, C., and Watts, K., 2018, Insights into the emplacement of upper-crustal plutons and their relationship to large silicic calderas, from field relationships, geochronology, and zircon trace element geochemistry in the Stillwater – Clan Alpine caldera complex, western Nevada, USA: Journal of Volcanology and Geothermal Research, v. 349, p. 163-176, https://doi.org/10.1016/j.jvolgeores.2017.10.015.","productDescription":"14 p.","startPage":"163","endPage":"176","ipdsId":"IP-070439","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461089,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.10.015","text":"Publisher Index Page"},{"id":353597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Stillwater – Clan Alpine caldera complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.33,\n 39.25\n ],\n [\n -117.70,\n 39.25\n ],\n [\n -117.70,\n 39.75\n ],\n [\n -118.33,\n 39.75\n ],\n [\n -118.33,\n 39.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"349","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc243","contributors":{"authors":[{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":733696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":733697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Christopher D.","contributorId":175501,"corporation":false,"usgs":false,"family":"Henry","given":"Christopher D.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":733698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":733699,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195617,"text":"70195617 - 2018 - Quantifying postfire aeolian sediment transport using rare earth element tracers","interactions":[],"lastModifiedDate":"2018-02-26T12:33:55","indexId":"70195617","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying postfire aeolian sediment transport using rare earth element tracers","docAbstract":"Grasslands, which provide fundamental ecosystem services in many arid and semiarid regions of the world, are undergoing rapid increases in fire activity and are highly susceptible to postfire-accelerated soil erosion by wind. A quantitative assessment of physical processes that integrates fire-wind erosion feedbacks is therefore needed relative to vegetation change, soil biogeochemical cycling, air quality, and landscape evolution. We investigated the applicability of a novel tracer technique—the use of multiple rare earth elements (REE)—to quantify soil transport by wind and to identify sources and sinks of wind-blown sediments in both burned and unburned shrub-grass transition zone in the Chihuahuan Desert, NM, USA. Results indicate that the horizontal mass flux of wind-borne sediment increased approximately threefold following the fire. The REE tracer analysis of wind-borne sediments shows that the source of the horizontal mass flux in the unburned site was derived from bare microsites (88.5%), while in the burned site it was primarily sourced from shrub (42.3%) and bare (39.1%) microsites. Vegetated microsites which were predominantly sinks of aeolian sediments in the unburned areas became sediment sources following the fire. The burned areas showed a spatial homogenization of sediment tracers, highlighting a potential negative feedback on landscape heterogeneity induced by shrub encroachment into grasslands. Though fires are known to increase aeolian sediment transport, accompanying changes in the sources and sinks of wind-borne sediments may influence biogeochemical cycling and land degradation dynamics. Furthermore, our experiment demonstrated that REEs can be used as reliable tracers for field-scale aeolian studies.
","language":"English","publisher":"AGU","doi":"10.1002/2017JG004284","usgsCitation":"Dukes, D., Gonzales, H.B., Ravi, S., Grandstaff, D.E., Van Pelt, R.S., Li, J., Wang, G., and Sankey, J.B., 2018, Quantifying postfire aeolian sediment transport using rare earth element tracers: Journal of Geophysical Research: Biogeosciences, v. 123, no. 1, p. 288-299, https://doi.org/10.1002/2017JG004284.","productDescription":"12 p.","startPage":"288","endPage":"299","ipdsId":"IP-083961","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004284","text":"Publisher Index Page"},{"id":352020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-31","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc25d","contributors":{"authors":[{"text":"Dukes, David","contributorId":202736,"corporation":false,"usgs":false,"family":"Dukes","given":"David","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzales, Howell B.","contributorId":202737,"corporation":false,"usgs":false,"family":"Gonzales","given":"Howell","email":"","middleInitial":"B.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grandstaff, David E.","contributorId":202739,"corporation":false,"usgs":false,"family":"Grandstaff","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Pelt, R. Scott","contributorId":195937,"corporation":false,"usgs":false,"family":"Van Pelt","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":729424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Junran","contributorId":202740,"corporation":false,"usgs":false,"family":"Li","given":"Junran","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":729425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Guan","contributorId":202741,"corporation":false,"usgs":false,"family":"Wang","given":"Guan","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":729426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":729419,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196534,"text":"70196534 - 2018 - Variation in angler distribution and catch rates of stocked rainbow trout in a small reservoir","interactions":[],"lastModifiedDate":"2018-04-13T16:26:11","indexId":"70196534","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Variation in angler distribution and catch rates of stocked rainbow trout in a small reservoir","docAbstract":"We investigated the spatial and temporal relationship of catch rates and angler party location for two days following a publicly announced put-and-take stocking of rainbow trout (Oncorhynchus mykiss). Catch rates declined with time since stocking and distance from stocking. We hypothesized that opportunity for high catch rates would cause anglers to fish near the stocking location and disperse with time, however distance between angler parties and stocking was highly variable at any given time. Spatially explicit differences in catch rates can affect fishing quality. Further research could investigate the variation between angler distribution and fish distribution within a waterbody.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0190745","usgsCitation":"Harmon, B.S., Martin, D.R., Chizinski, C.J., and Pope, K.L., 2018, Variation in angler distribution and catch rates of stocked rainbow trout in a small reservoir: PLoS ONE, v. 13, no. 1, p. 1-6, https://doi.org/10.1371/journal.pone.0190745.","productDescription":"e0190745; 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-072685","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469123,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0190745","text":"Publisher Index Page"},{"id":353429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-11","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc245","contributors":{"authors":[{"text":"Harmon, Brian S.","contributorId":172278,"corporation":false,"usgs":false,"family":"Harmon","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":733460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Dustin R.","contributorId":204239,"corporation":false,"usgs":false,"family":"Martin","given":"Dustin","email":"","middleInitial":"R.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":733461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":733462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":733459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196522,"text":"70196522 - 2018 - Diel predator activity drives a dynamic landscape of fear","interactions":[],"lastModifiedDate":"2018-11-14T10:00:50","indexId":"70196522","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Diel predator activity drives a dynamic landscape of fear","docAbstract":"A “landscape of fear” (LOF) is a map that describes continuous spatial variation in an animal's perception of predation risk. The relief on this map reflects, for example, places that an animal avoids to minimize risk. Although the LOF concept is a potentially unifying theme in ecology that is often invoked to explain the ecological and conservation significance of fear, little is known about the daily dynamics of an LOF. Despite theory and data to the contrary, investigators often assume, implicitly or explicitly, that an LOF is a static consequence of a predator's mere presence within an ecosystem. We tested the prediction that an LOF in a large‐scale, free‐living system is a highly dynamic map with “peaks” and “valleys” that alternate across the diel (24‐h) cycle in response to daily lulls in predator activity. We did so with extensive data from the case study of Yellowstone elk (Cervus elaphus) and wolves (Canis lupus) that was the original basis for the LOF concept. We quantified the elk LOF, defined here as spatial allocation of time away from risky places and times, across nearly 1,000‐km2 of northern Yellowstone National Park and found that it fluctuated with the crepuscular activity pattern of wolves, enabling elk to use risky places during wolf downtimes. This may help explain evidence that wolf predation risk has no effect on elk stress levels, body condition, pregnancy, or herbivory. The ability of free‐living animals to adaptively allocate habitat use across periods of high and low predator activity within the diel cycle is an underappreciated aspect of animal behavior that helps explain why strong antipredator responses may trigger weak ecological effects, and why an LOF may have less conceptual and practical importance than direct killing.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1313","usgsCitation":"Kohl, M.T., Stahler, D.R., Metz, M.C., Forester, J.D., Kauffman, M., Varley, N., White, P., Smith, D.W., and MacNulty, D.R., 2018, Diel predator activity drives a dynamic landscape of fear: Ecological Monographs, v. 88, no. 4, p. 638-652, https://doi.org/10.1002/ecm.1313.","productDescription":"15 p.","startPage":"638","endPage":"652","ipdsId":"IP-065975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1313","text":"Publisher Index Page"},{"id":353404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","volume":"88","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-22","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2c0","contributors":{"authors":[{"text":"Kohl, Michel T.","contributorId":204214,"corporation":false,"usgs":false,"family":"Kohl","given":"Michel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":733394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metz, Matthew C.","contributorId":172854,"corporation":false,"usgs":false,"family":"Metz","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":27103,"text":"Yellowston Wolf Project","active":true,"usgs":false}],"preferred":false,"id":733396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forester, James D.","contributorId":194334,"corporation":false,"usgs":false,"family":"Forester","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":733397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":733387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Varley, Nathan","contributorId":204215,"corporation":false,"usgs":false,"family":"Varley","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":733398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":733399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Douglas W.","contributorId":95727,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":733400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacNulty, Daniel R.","contributorId":64069,"corporation":false,"usgs":true,"family":"MacNulty","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733401,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196758,"text":"70196758 - 2018 - The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska","interactions":[],"lastModifiedDate":"2022-04-22T16:23:22.833574","indexId":"70196758","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska","docAbstract":"It is important to understand how upland ecosystems of Alaska, which are estimated to occupy 84% of the state (i.e., 1,237,774 km2), are influencing and will influence state‐wide carbon (C) dynamics in the face of ongoing climate change. We coupled fire disturbance and biogeochemical models to assess the relative effects of changing atmospheric carbon dioxide (CO2), climate, logging and fire regimes on the historical and future C balance of upland ecosystems for the four main Landscape Conservation Cooperatives (LCCs) of Alaska. At the end of the historical period (1950–2009) of our analysis, we estimate that upland ecosystems of Alaska store ~50 Pg C (with ~90% of the C in soils), and gained 3.26 Tg C/yr. Three of the LCCs had gains in total ecosystem C storage, while the Northwest Boreal LCC lost C (−6.01 Tg C/yr) because of increases in fire activity. Carbon exports from logging affected only the North Pacific LCC and represented less than 1% of the state's net primary production (NPP). The analysis for the future time period (2010–2099) consisted of six simulations driven by climate outputs from two climate models for three emission scenarios. Across the climate scenarios, total ecosystem C storage increased between 19.5 and 66.3 Tg C/yr, which represents 3.4% to 11.7% increase in Alaska upland's storage. We conducted additional simulations to attribute these responses to environmental changes. This analysis showed that atmospheric CO2 fertilization was the main driver of ecosystem C balance. By comparing future simulations with constant and with increasing atmospheric CO2, we estimated that the sensitivity of NPP was 4.8% per 100 ppmv, but NPP becomes less sensitive to CO2increase throughout the 21st century. Overall, our analyses suggest that the decreasing CO2 sensitivity of NPP and the increasing sensitivity of heterotrophic respiration to air temperature, in addition to the increase in C loss from wildfires weakens the C sink from upland ecosystems of Alaska and will ultimately lead to a source of CO2 to the atmosphere beyond 2100. Therefore, we conclude that the increasing regional C sink we estimate for the 21st century will most likely be transitional.
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