{"pageNumber":"1603","pageRowStart":"40050","pageSize":"25","recordCount":184582,"records":[{"id":70040667,"text":"pp1789E - 2012 - Water quality and mass transport in four watersheds in eastern Puerto Rico: Chapter E in Water quality and landscape processes of four watersheds in eastern Puerto Rico","interactions":[],"lastModifiedDate":"2013-02-01T14:18:38","indexId":"pp1789E","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1789","chapter":"E","title":"Water quality and mass transport in four watersheds in eastern Puerto Rico: Chapter E in Water quality and landscape processes of four watersheds in eastern Puerto Rico","docAbstract":"Water quality of four small watersheds in eastern Puerto Rico has been monitored since 1991 as part of the U.S. Geological Survey's Water, Energy, and Biogeochemical Budgets program. These watersheds represent a montane, humid-tropical environment and differ in geology and land cover. Two watersheds are located on granitic rocks, and two are located on volcaniclastic rock. For each bedrock type, one watershed is covered with mature rainforest in the Luquillo Mountains, and the other watershed is undergoing reforestation after being affected by agricultural practices typical of eastern Puerto Rico. A subwatershed of the Icacos watershed, the Guabá, was also monitored to examine scaling effects. The water quality of the rivers draining forest, in the Icacos and Guabá (granitic watersheds) and Mameyes (a volcaniclastic watershed), show little contamination by human activities. The water is well oxygenated and has a nearly neutral pH, and nutrient concentrations are low. Concentrations of nutrients in the disturbed watersheds, the Cayaguás (granitic rock) and Canóvanas (volcaniclastic rock), are greater than in the forested watersheds, indicating some inputs from human activities. High in-stream productivity in the Canóvanas watershed leads to occasional oxygen and calcite supersaturation and carbon dioxide undersaturation. Suspended sediment concentrations in all watersheds are low, except during major storms. Most dissolved constituents derived from bedrock weathering or atmospheric deposition (including sodium, magnesium, calcium, silica, alkalinity, and chloride) decrease in concentration with increasing runoff, reflecting dilution from increased proportions of overland or near-surface flow. Strongly bioactive constituents (dissolved organic carbon, potassium, nitrate, ammonium ion, and phosphate) commonly display increasing concentration with increasing runoff, regardless of their ultimate origin (bedrock or atmosphere). The concentrations of many of the bioactive constituents eventually decrease at runoff rates greater than 3 to 10 millimeters per hour, presumably reflecting an increased relative contribution from overland flow. Sulfate behaves like the nonbioactive constituents in the Canóvanas, Cayaguás, and Mameyes watersheds but like a bioactive constituent in the Icacos and Guabá watersheds. Storms resulted in several anomalous sample compositions. Runoff waters from a number of storms - mostly hurricanes, but also other storms - have exceptionally high chloride concentrations, presumably resulting from windborne seasalt from the ocean, and low nitrate concentrations, reflecting a dominance of maritime air masses contributing moisture to the storms. High-potassium samples, without high chloride, are also associated with some smaller storms that followed Hurricane Georges in 1998; they are likely related to the breakdown of fallen vegetation. Finally, occasional low-silica events are observed in the Icacos and Guabá watersheds in the years prior to Hurricane Georges, but not after; this difference may be related to a change in hydrologic flow paths.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Water quality and landscape processes of four watersheds in eastern Puerto Rico (Professional Paper 1789)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1789E","collaboration":"This report is Chapter E in Water quality and landscape processes of four watersheds in eastern Puerto Rico. For more information, see: Professional Paper 1789.","usgsCitation":"Stallard, R.F., and Murphy, S.F., 2012, Water quality and mass transport in four watersheds in eastern Puerto Rico: Chapter E in Water quality and landscape processes of four watersheds in eastern Puerto Rico: U.S. Geological Survey Professional Paper 1789, 40 p., https://doi.org/10.3133/pp1789E.","productDescription":"40 p.","startPage":"113","endPage":"152","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":263011,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1789/"},{"id":263012,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1789/pdfs/ChapterE.pdf"},{"id":263013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1789_E.jpg"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9455,17.8814 ], [ -67.9455,18.516 ], [ -65.2211,18.516 ], [ -65.2211,17.8814 ], [ -67.9455,17.8814 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e57445e4b0a4aa5bb070df","contributors":{"editors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":509098,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":509099,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":468745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":468744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192291,"text":"70192291 - 2012 - A comparison among observations and earthquake simulator results for the allcal2 California fault model","interactions":[],"lastModifiedDate":"2017-10-31T14:43:16","indexId":"70192291","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A comparison among observations and earthquake simulator results for the allcal2 California fault model","docAbstract":"

In order to understand earthquake hazards we would ideally have a statistical description of earthquakes for tens of thousands of years. Unfortunately the ∼100‐year instrumental, several 100‐year historical, and few 1000‐year paleoseismological records are woefully inadequate to provide a statistically significant record. Physics‐based earthquake simulators can generate arbitrarily long histories of earthquakes; thus they can provide a statistically meaningful history of simulated earthquakes. The question is, how realistic are these simulated histories? This purpose of this paper is to begin to answer that question. We compare the results between different simulators and with information that is known from the limited instrumental, historic, and paleoseismological data.

As expected, the results from all the simulators show that the observational record is too short to properly represent the system behavior; therefore, although tests of the simulators against the limited observations are necessary, they are not a sufficient test of the simulators’ realism. The simulators appear to pass this necessary test. In addition, the physics‐based simulators show similar behavior even though there are large differences in the methodology. This suggests that they represent realistic behavior. Different assumptions concerning the constitutive properties of the faults do result in enhanced capabilities of some simulators. However, it appears that the similar behavior of the different simulators may result from the fault‐system geometry, slip rates, and assumed strength drops, along with the shared physics of stress transfer.

This paper describes the results of running four earthquake simulators that are described elsewhere in this issue of Seismological Research Letters. The simulators ALLCAL (Ward, 2012), VIRTCAL (Sachs et al., 2012), RSQSim (Richards‐Dinger and Dieterich, 2012), and ViscoSim (Pollitz, 2012) were run on our most recent all‐California fault model, allcal2. With the exception of ViscoSim, which ran for 10,000 years, all the simulators ran for 30,000 years. Presentations containing content similar to this paper can be found at http://scec.usc.edu/research/eqsims/.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220120094","usgsCitation":"Tullis, T.E., Richards-Dinger, K.B., Barall, M., Dieterich, J.H., Field, E.H., Heien, E.M., Kellogg, L., Pollitz, F., Rundle, J.B., Sachs, M.K., Turcotte, D.L., Ward, S.N., and Yikilmaz, M.B., 2012, A comparison among observations and earthquake simulator results for the allcal2 California fault model: Seismological Research Letters, v. 83, no. 6, p. 994-1006, https://doi.org/10.1785/0220120094.","productDescription":"13 p.","startPage":"994","endPage":"1006","ipdsId":"IP-040844","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-08","publicationStatus":"PW","scienceBaseUri":"59f98bbfe4b0531197afa050","contributors":{"authors":[{"text":"Tullis, Terry. E.","contributorId":198122,"corporation":false,"usgs":false,"family":"Tullis","given":"Terry.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":718674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards-Dinger, Keith B.","contributorId":198155,"corporation":false,"usgs":false,"family":"Richards-Dinger","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":718675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barall, Michael mbarall@usgs.gov","contributorId":2595,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":718676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dieterich, James H.","contributorId":198156,"corporation":false,"usgs":false,"family":"Dieterich","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":718677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":718678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heien, Eric M.","contributorId":199330,"corporation":false,"usgs":false,"family":"Heien","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":718679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kellogg, Louise","contributorId":191823,"corporation":false,"usgs":false,"family":"Kellogg","given":"Louise","email":"","affiliations":[],"preferred":false,"id":718680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollitz, Fred F. fpollitz@usgs.gov","contributorId":2408,"corporation":false,"usgs":true,"family":"Pollitz","given":"Fred F.","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":718681,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rundle, John B.","contributorId":113221,"corporation":false,"usgs":true,"family":"Rundle","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":718682,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sachs, Michael K.","contributorId":199331,"corporation":false,"usgs":false,"family":"Sachs","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":718683,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Turcotte, Donald L.","contributorId":111578,"corporation":false,"usgs":true,"family":"Turcotte","given":"Donald","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":718684,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ward, Steven N.","contributorId":9164,"corporation":false,"usgs":true,"family":"Ward","given":"Steven","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":718685,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Yikilmaz, M. Burak","contributorId":191805,"corporation":false,"usgs":false,"family":"Yikilmaz","given":"M.","email":"","middleInitial":"Burak","affiliations":[],"preferred":false,"id":718686,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70173870,"text":"70173870 - 2012 - Effect of Feeding-Fasting Cycles on Oxygen Consumption and Bioenergetics of Yellow Perch","interactions":[],"lastModifiedDate":"2016-06-15T15:24:01","indexId":"70173870","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effect of Feeding-Fasting Cycles on Oxygen Consumption and Bioenergetics of Yellow Perch","docAbstract":"
We measured growth and oxygen consumption of age-1 yellow perch Perca flavescenssubjected to ad libitum (control) or variable feeding cycles of 2 (i.e., 2 d of feed, 2 d of deprivation), 6, or 12 d for a 72-d period. Individual, female yellow perch (initial weight = 51.9 ± 0.9 g [mean ± SE]) were stocked in 110-L aquaria to provide six replicates per treatment and fed measured rations of live fathead minnow Pimephales promelas. Consumption, absolute growth rate, growth efficiency, and oxygen consumption were similar among feeding regimens. However, growth trajectories for fish on the 2-d cycle were significantly lower than other feed–fast cycles. Hyperphagia occurred in all treatments. Bioenergetics model simulations indicated that consumption was significantly underestimated (t = 5.4, df = 4, P = 0.006), while growth was overestimated (t = −5.5, df = 4, P = 0.005) for fish on the 12-d cycle. However, model errors detected between observed and predicted values were low, ranging from −10.1% to +7.8%. We found that juvenile yellow perch exhibited compensatory growth (CG), but none of the feed–fast treatments resulted in growth overcompensation. Likewise, we found no evidence that respiration rates varied with CG, implying that yellow perch bioenergetics models could be used to predict the effects of feeding history and CG response on food consumption and fish growth.
","language":"English","publisher":"Taylor & Francis Online","publisherLocation":"Abingdon, United Kindgom","doi":"10.1080/00028487.2012.703155","usgsCitation":"Chipps, S.R., Travis W. Schaeffer, Daniel E. Spengler, Casey W. Schoenebeck, and Brown, M.L., 2012, Effect of Feeding-Fasting Cycles on Oxygen Consumption and Bioenergetics of Yellow Perch: Transactions of the American Fisheries Society, v. 141, no. 6, p. 1480-1491, https://doi.org/10.1080/00028487.2012.703155.","productDescription":"12 p.","startPage":"1480","endPage":"1491","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034018","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-09","publicationStatus":"PW","scienceBaseUri":"57627c30e4b07657d19a69da","contributors":{"authors":[{"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":638868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis W. Schaeffer","contributorId":171857,"corporation":false,"usgs":false,"family":"Travis W. Schaeffer","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638872,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Daniel E. Spengler","contributorId":171855,"corporation":false,"usgs":false,"family":"Daniel E. Spengler","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638870,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Casey W. Schoenebeck","contributorId":171854,"corporation":false,"usgs":false,"family":"Casey W. Schoenebeck","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638869,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Brown, Michael L.","contributorId":171856,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638871,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70189352,"text":"70189352 - 2012 - Difference infiltrometer: a method to measure temporally variable infiltration rates during rainstorms","interactions":[],"lastModifiedDate":"2017-07-11T15:52:36","indexId":"70189352","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","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":"Difference infiltrometer: a method to measure temporally variable infiltration rates during rainstorms","docAbstract":"

We developed a difference infiltrometer to measure time series of non-steady infiltration rates during rainstorms at the point scale. The infiltrometer uses two, tipping bucket rain gages. One gage measures rainfall onto, and the other measures runoff from, a small circular plot about 0.5-m in diameter. The small size allows the infiltration rate to be computed as the difference of the cumulative rainfall and cumulative runoff without having to route water through a large plot. Difference infiltrometers were deployed in an area burned by the 2010 Fourmile Canyon Fire near Boulder, Colorado, USA, and data were collected during the summer of 2011. The difference infiltrometer demonstrated the capability to capture different magnitudes of infiltration rates and temporal variability associated with convective (high intensity, short duration) and cyclonic (low intensity, long duration) rainstorms. Data from the difference infiltrometer were used to estimate saturated hydraulic conductivity of soil affected by the heat from a wildfire. The difference infiltrometer is portable and can be deployed in rugged, steep terrain and does not require the transport of water, as many rainfall simulators require, because it uses natural rainfall. It can be used to assess infiltration models, determine runoff coefficients, identify rainfall depth or rainfall intensity thresholds to initiate runoff, estimate parameters for infiltration models, and compare remediation treatments on disturbed landscapes. The difference infiltrometer can be linked with other types of soil monitoring equipment in long-term studies for detecting temporal and spatial variability at multiple time scales and in nested designs where it can be linked to hillslope and basin-scale runoff responses.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9424","usgsCitation":"Moody, J.A., and Ebel, B.A., 2012, Difference infiltrometer: a method to measure temporally variable infiltration rates during rainstorms: Hydrological Processes, v. 26, no. 21, p. 3312-3318, https://doi.org/10.1002/hyp.9424.","productDescription":"7 p.","startPage":"3312","endPage":"3318","ipdsId":"IP-034604","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"21","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-03","publicationStatus":"PW","scienceBaseUri":"5965bacfe4b0d1f9f05b38d9","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":704334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":704333,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154996,"text":"70154996 - 2012 - Externally triggered renewed bubble nucleation in basaltic magma: the 12 October 2008 eruption at Halema‘uma‘u Overlook vent, Kīlauea, Hawai‘i, USA","interactions":[],"lastModifiedDate":"2019-05-30T10:12:32","indexId":"70154996","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Externally triggered renewed bubble nucleation in basaltic magma: the 12 October 2008 eruption at Halema‘uma‘u Overlook vent, Kīlauea, Hawai‘i, USA","docAbstract":"

From October 2008 until present, dozens of small impulsive explosive eruptions occurred from the Overlook vent on the southeast side of Halema‘uma‘u Crater, at Kīlauea volcano, USA. These eruptions were triggered by rockfalls from the walls of the volcanic vent and conduit onto the top of the lava column. Here we use microtextural observations and data from clasts erupted during the well-characterized 12 October 2008 explosive eruption at Halema‘uma‘u to extend existing models of eruption triggering. We present a potential mechanism for this eruption by combining microtextural observations with existing geophysical and visual data sets. We measure the size and number density of bubbles preserved in juvenile ejecta using 2D images and X-ray microtomography. Our data suggest that accumulations of large bubbles with diameters of >50μm to at least millimeters existed at shallow levels within the conduit prior to the 12 October 2008 explosion. Furthermore, a high number density of small bubbles <50 μm is measured in the clasts, implying very rapid nucleation of bubbles. Visual observations, combined with preexisting geophysical data, suggest that the impact of rockfalls onto the magma free surface induces pressure changes over short timescales that (1) nucleated new additional bubbles in the shallow conduit leading to high number densities of small bubbles and (2) expanded the preexisting bubbles driving upward acceleration. The trigger of eruption and bubble nucleation is thus external to the degassing system.

","language":"English","doi":"10.1029/2012JB009496","usgsCitation":"Carey, R.J., Manga, M., Degruyter, W., Swanson, D., Houghton, B.F., Orr, T., and Patrick, M.R., 2012, Externally triggered renewed bubble nucleation in basaltic magma: the 12 October 2008 eruption at Halema‘uma‘u Overlook vent, Kīlauea, Hawai‘i, USA: Journal of Geophysical Research B: Solid Earth, v. 117, no. B11, e11202: 10 p., https://doi.org/10.1029/2012JB009496.","productDescription":"e11202: 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066884","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012jb009496","text":"Publisher Index Page"},{"id":306446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Overlook vent, Halema'uma'u crater, Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.28050422668457,\n 19.403216163600298\n ],\n [\n -155.27956008911133,\n 19.40402572008253\n ],\n [\n -155.2785301208496,\n 19.405078137486008\n ],\n [\n -155.27805805206296,\n 19.40629245679786\n ],\n [\n -155.2781867980957,\n 19.407709151202923\n ],\n [\n -155.27870178222653,\n 19.409328215411655\n ],\n [\n -155.27960300445557,\n 19.410461550766506\n ],\n [\n -155.2814483642578,\n 19.411635354056717\n ],\n [\n -155.28320789337158,\n 19.411675829881112\n ],\n [\n -155.2849245071411,\n 19.411473450658402\n ],\n [\n -155.28612613677979,\n 19.41110916742277\n ],\n [\n -155.28685569763184,\n 19.410623455172395\n ],\n [\n -155.28707027435303,\n 19.409935360334085\n ],\n [\n -155.2874994277954,\n 19.409044880338744\n ],\n [\n -155.28831481933594,\n 19.407668674391182\n ],\n [\n -155.28865814208984,\n 19.406656750823505\n ],\n [\n -155.2889585494995,\n 19.405401956855613\n ],\n [\n -155.28865814208984,\n 19.40434954154732\n ],\n [\n -155.28788566589355,\n 19.40329711942984\n ],\n [\n -155.28689861297607,\n 19.40240660308917\n ],\n [\n -155.28582572937012,\n 19.401839908334264\n ],\n [\n -155.28462409973142,\n 19.40155656021655\n ],\n [\n -155.28264999389646,\n 19.402001821322816\n ],\n [\n -155.2814483642578,\n 19.402528037422684\n ],\n [\n -155.28050422668457,\n 19.403216163600298\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"B11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-08","publicationStatus":"PW","scienceBaseUri":"55c333ade4b033ef52106a91","contributors":{"authors":[{"text":"Carey, Rebecca J.","contributorId":145530,"corporation":false,"usgs":false,"family":"Carey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":564513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":145531,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":564514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degruyter, Wim","contributorId":145532,"corporation":false,"usgs":false,"family":"Degruyter","given":"Wim","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":564515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, Donald donswan@usgs.gov","contributorId":140000,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":564516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":564517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":140376,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":564512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":564518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148709,"text":"70148709 - 2012 - Precision of channel catfish catch estimates using hoop nets in larger Oklahoma reservoirs","interactions":[],"lastModifiedDate":"2015-06-22T09:56:25","indexId":"70148709","displayToPublicDate":"2012-10-31T11:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Precision of channel catfish catch estimates using hoop nets in larger Oklahoma reservoirs","docAbstract":"

Hoop nets are rapidly becoming the preferred gear type used to sample channel catfish Ictalurus punctatus, and many managers have reported that hoop nets effectively sample channel catfish in small impoundments (<200 ha). However, the utility and precision of this approach in larger impoundments have not been tested. We sought to determine how the number of tandem hoop net series affected the catch of channel catfish and the time involved in using 16 tandem hoop net series in larger impoundments (>200 ha). Hoop net series were fished once, set for 3 d; then we used Monte Carlo bootstrapping techniques that allowed us to estimate the number of net series required to achieve two levels of precision (relative standard errors [RSEs] of 15 and 25) at two levels of confidence (80% and 95%). Sixteen hoop net series were effective at obtaining an RSE of 25 with 80% and 95% confidence in all but one reservoir. Achieving an RSE of 15 was often less effective and required 18-96 hoop net series given the desired level of confidence. We estimated that an hour was needed, on average, to deploy and retrieve three hoop net series, which meant that 16 hoop net series per reservoir could be \"set\" and \"retrieved\" within a day, respectively. The estimated number of net series to achieve an RSE of 25 or 15 was positively associated with the coefficient of variation (CV) of the sample but not with reservoir surface area or relative abundance. Our results suggest that hoop nets are capable of providing reasonably precise estimates of channel catfish relative abundance and that the relationship with the CV of the sample reported herein can be used to determine the sampling effort for a desired level of precision.

","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2012.720647","collaboration":"Oklahoma Department of Wildlife Conservation; Oklahoma State Universit","usgsCitation":"Stewart, D., and Long, J.M., 2012, Precision of channel catfish catch estimates using hoop nets in larger Oklahoma reservoirs: North American Journal of Fisheries Management, v. 32, no. 6, p. 1108-1112, https://doi.org/10.1080/02755947.2012.720647.","productDescription":"5 p.","startPage":"1108","endPage":"1112","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036560","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-31","publicationStatus":"PW","scienceBaseUri":"558931d5e4b0b6d21dd61c0a","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":549261,"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":549076,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214974,"text":"70214974 - 2012 - Holocene diatom flora and climate history of Medicine Lake, Northern California, USA","interactions":[],"lastModifiedDate":"2020-10-06T20:44:11.072398","indexId":"70214974","displayToPublicDate":"2012-10-31T10:18:34","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5934,"text":"Nova Hedwigia, Beiheft","printIssn":"1438-9134","active":false,"publicationSubtype":{"id":10}},"title":"Holocene diatom flora and climate history of Medicine Lake, Northern California, USA","docAbstract":"

A 226-cm-long sediment core spanning the past ~ 11,400 years was recovered from Medicine Lake, on the Modoc Plateau in northeastern California. Diatom assemblages provide a record of lake level that is driven by local and regional climate changes and changes in basin morphology due to the activity of Medicine Lake volcano. The diatom record indicates that throughout its history, Medicine Lake was an oligotrophic lake, dominated by Cyclotella stelligera and C. pseudostelligera. Variations in lake level are suggested by changes in the structure of the diatom assemblages. The lowest part of the core (11,400 to 10,300 cal yr B.P.) contains the transition from glacial to interglacial conditions. From about 11,000 to 5500 cal yr B.P., the lake filled two small, steep-sided basins or one basin with two steep-sided sub-basins connected by a shallow shelf. During this time, the diatom evidence (Cyclotella/Navicula ratio) indicates that effective moisture increased, leading to a deeper lake. Over the past 5500 years the diatom record indicates fluctuations in lake level. The change in lake level pattern from one of increasing depth prior to about 5500 cal yr B.P. to one of variable depths may be related to changes in the morphology of the Medicine Lake basin in addition to shifts in local and regional climate. During this latter period the Cyclotella/Navicula ratio varies, suggesting that the level of the lake fluctuated, resulting in changes in colonizable shelf area.

","language":"English","publisher":"Schweitzerbart and Borntraeger Science Publishers","usgsCitation":"Starratt, S.W., 2012, Holocene diatom flora and climate history of Medicine Lake, Northern California, USA: Nova Hedwigia, Beiheft, v. 141, p. 485-504.","productDescription":"30 p.","startPage":"485","endPage":"504","ipdsId":"IP-027311","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":379045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379030,"type":{"id":15,"text":"Index Page"},"url":"https://www.schweizerbart.de/publications/detail/isbn/9783443510633/Nova_Hedwigia_Beiheft_141"}],"country":"United States","state":"California","otherGeospatial":"Medicine Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.62311553955077,\n 41.56909591089941\n ],\n [\n -121.5757369995117,\n 41.56909591089941\n ],\n [\n -121.5757369995117,\n 41.59567534818466\n ],\n [\n -121.62311553955077,\n 41.59567534818466\n ],\n [\n -121.62311553955077,\n 41.56909591089941\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"141","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":800473,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041584,"text":"70041584 - 2012 - Developing accurate survey methods for estimating population sizes and trends of the critically endangered Nihoa Millerbird and Nihoa Finch.","interactions":[],"lastModifiedDate":"2018-01-05T12:39:22","indexId":"70041584","displayToPublicDate":"2012-10-31T02:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-034","title":"Developing accurate survey methods for estimating population sizes and trends of the critically endangered Nihoa Millerbird and Nihoa Finch.","docAbstract":"

This report describes the results of a comparative study of bird survey methods undertaken for the purpose of improving assessments of the conservation status for the two endemic passerines on the Island of Nihoa—Nihoa Millerbird (Sylviidae: Acrocephalus familiaris kingi) and Nihoa Finch (Fringilidae: Telespiza ultima; also referred herein as millerbird and finch)—both listed as endangered under the Federal Endangered Species Act (ESA) and Hawai`i Revised Statutes 195D. The current survey protocol, implemented since 1967, has produced a highly variable range of counts for both the millerbird and finch, making difficult assessments of population size and trend. This report details the analyses of bird survey data collected in 2010 and 2011 in which three survey methods were compared―strip-transect, line-transect, and point-transect sampling―and provides recommendations for improved survey methods and protocols. Funding for this research was provided through a Science Support Partnership grant sponsored jointly by the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (USFWS).

\n

Point-transect surveys indicated that millerbirds were more abundant than shown by the striptransect method, and were estimated at 802 birds in 2010 (95%CI = 652 – 964) and 704 birds in 2011 (95%CI = 579 – 837). Point-transect surveys yielded population estimates with improved precision which will permit trends to be detected in shorter time periods and with greater statistical power than is available from strip-transect survey methods. Mean finch population estimates and associated uncertainty were not markedly different among the three survey methods, but the performance of models used to estimate density and population size are expected to improve as the data from additional surveys are incorporated. Using the pointtransect survey, the mean finch population size was estimated at 2,917 birds in 2010 (95%CI = 2,037 – 3,965) and 2,461 birds in 2011 (95%CI = 1,682 – 3,348). Preliminary testing of the line-transect method in 2011 showed that it would not generate sufficient detections to effectively model bird density, and consequently, relatively precise population size estimates. Both species were fairly evenly distributed across Nihoa and appear to occur in all or nearly all available habitat. The time expended and area traversed by observers was similar among survey methods; however, point-transect surveys do not require that observers walk a straight transect line, thereby allowing them to avoid culturally or biologically sensitive areas and minimize the adverse effects of recurrent travel to any particular area. In general, pointtransect surveys detect more birds than strip-survey methods, thereby improving precision and resulting population size and trend estimation. The method is also better suited for the steep and uneven terrain of Nihoa

","language":"English","publisher":"UniverIsity of Hawaii at Hilio","publisherLocation":"Hilo, HI","usgsCitation":"Gorresen, P.M., Camp, R.J., Brinck, K., and Farmer, C., 2012, Developing accurate survey methods for estimating population sizes and trends of the critically endangered Nihoa Millerbird and Nihoa Finch.: Technical Report HCSU-034, v, 70 p.","productDescription":"v, 70 p.","numberOfPages":"77","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041045","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad43e4b05e859bdfb8c4","contributors":{"authors":[{"text":"Gorresen, P. Marcos mgorresen@usgs.gov","contributorId":3975,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"Marcos","affiliations":[],"preferred":false,"id":644962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":116175,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":644963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":644964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farmer, Chris cfarmer@usgs.gov","contributorId":3681,"corporation":false,"usgs":true,"family":"Farmer","given":"Chris","email":"cfarmer@usgs.gov","affiliations":[],"preferred":true,"id":644965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040565,"text":"70040565 - 2012 - Dissolved organic matter reduces algal accumulation of methylmercury","interactions":[],"lastModifiedDate":"2017-10-30T12:24:32","indexId":"70040565","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter reduces algal accumulation of methylmercury","docAbstract":"Dissolved organic matter (DOM) significantly decreased accumulation of methylmercury (MeHg) by the diatom Cyclotella meneghiniana in laboratory experiments. Live diatom cells accumulated two to four times more MeHg than dead cells, indicating that accumulation may be partially an energy-requiring process. Methylmercury enrichment in diatoms relative to ambient water was measured by a volume concentration factor (VCF). Without added DOM, the maximum VCF was 32 x 104, and the average VCF (from 10 to 72 h) over all experiments was 12.6 x 104. At very low (1.5 mg/L) added DOM, VCFs dropped by approximately half. At very high (20 mg/L) added DOM, VCFs dropped 10-fold. Presumably, MeHg was bound to a variety of reduced sulfur sites on the DOM, making it unavailable for uptake. Diatoms accumulated significantly more MeHg when exposed to transphilic DOM extracts than hydrophobic ones. However, algal lysate, a labile type of DOM created by resuspending a marine diatom in freshwater, behaved similarly to a refractory DOM isolate from San Francisco Bay. Addition of 67 μM L-cysteine resulted in the largest drop in VCFs, to 0.28 x 104. Although the DOM composition influenced the availability of MeHg to some extent, total DOM concentration was the most important factor in determining algal bioaccumulation of MeHg.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.1885","usgsCitation":"Luengen, A.C., Fisher, N.S., and Bergamaschi, B., 2012, Dissolved organic matter reduces algal accumulation of methylmercury: Environmental Toxicology and Chemistry, v. 31, no. 8, p. 1712-1719, https://doi.org/10.1002/etc.1885.","productDescription":"8 p.","startPage":"1712","endPage":"1719","ipdsId":"IP-026160","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":262902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-05-17","publicationStatus":"PW","scienceBaseUri":"50da4ad8e4b07a5aecdf2f8b","contributors":{"authors":[{"text":"Luengen, Allison C.","contributorId":100700,"corporation":false,"usgs":true,"family":"Luengen","given":"Allison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Nicholas S.","contributorId":75022,"corporation":false,"usgs":true,"family":"Fisher","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":468554,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040555,"text":"70040555 - 2012 - Predicting biological condition in southern California streams","interactions":[],"lastModifiedDate":"2012-11-01T14:54:04","indexId":"70040555","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Predicting biological condition in southern California streams","docAbstract":"As understanding of the complex relations among environmental stressors and biological responses improves, a logical next step is predictive modeling of biological condition at unsampled sites. We developed a boosted regression tree (BRT) model of biological condition, as measured by a benthic macroinvertebrate index of biotic integrity (BIBI), for streams in urbanized Southern Coastal California. We also developed a multiple linear regression (MLR) model as a benchmark for comparison with the BRT model. The BRT model explained 66% of the variance in B-IBI, identifying watershed population density and combined percentage agricultural and urban land cover in the riparian buffer as the most important predictors of B-IBI, but with watershed mean precipitation and watershed density of manmade channels also important. The MLR model explained 48% of the variance in B-IBI and included watershed population density and combined percentage agricultural and urban land cover in the riparian buffer. For a verification data set, the BRT model correctly classified 75% of impaired sites (B-IBI < 40) and 78% of unimpaired sites (B-IBI = 40). For the same verification data set, the MLR model correctly classified 69% of impaired sites and 87% of unimpaired sites. The BRT model should not be used to predict B-IBI for specific sites; however, the model can be useful for general applications such as identifying and prioritizing regions for monitoring, remediation or preservation, stratifying new bioassessments according to anticipated biological condition, or assessing the potential for change in stream biological condition based on anticipated changes in population density and development in stream buffers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.landurbplan.2012.07.009","usgsCitation":"Brown, L.R., May, J., Rehn, A.C., Ode, P.R., Waite, I.R., and Kennen, J., 2012, Predicting biological condition in southern California streams: Landscape and Urban Planning, v. 108, no. 1, p. 17-27, https://doi.org/10.1016/j.landurbplan.2012.07.009.","productDescription":"11 p.","startPage":"17","endPage":"27","numberOfPages":"11","ipdsId":"IP-022005","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2012.07.009"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"108","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e17e8fe4b0ff1e7c578675","contributors":{"authors":[{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":468504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rehn, Andrew C.","contributorId":47650,"corporation":false,"usgs":true,"family":"Rehn","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ode, Peter R.","contributorId":45968,"corporation":false,"usgs":true,"family":"Ode","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468502,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468501,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040572,"text":"70040572 - 2012 - The hydrology of a drained topographical depression within an agricutlural field in north-central Iowa","interactions":[],"lastModifiedDate":"2021-01-05T18:53:14.329024","indexId":"70040572","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3627,"text":"Transactions of the American Society of Agricultural and Biological Engineers","active":true,"publicationSubtype":{"id":10}},"title":"The hydrology of a drained topographical depression within an agricutlural field in north-central Iowa","docAbstract":"North-central Iowa is an agriculturally intensive area comprising the southeastern portion of the Prairie Pothole Region, a landscape containing a high density of enclosed topographical depressions. Artificial drainage practices have been implemented throughout the area to facilitate agricultural production. Vertical surface drains are utilized to drain the topographical depressions that accumulate water. This study focuses on the hydrology of a drained topographical depression located in a 39.5 ha agricultural field. To assess the hydrology of the drained depression, a water balance was constructed for 11 ponding events during the 2008 growing season. Continuous pond and groundwater level data were obtained with pressure transducers. Flows into the vertical surface drain were calculated based on pond depth. Precipitation inflows and evaporative outflows of the ponds were calculated using climatic data. Groundwater levels were used to assess groundwater/pond interactions. Results of the water balances show distinct differences between the inflows to and outflows from the depression based on antecedent conditions. In wet conditions, groundwater inflow sustained the ponds. The ponds receded only after the groundwater level declined to below the land surface. In drier conditions, groundwater was not a source of water to the depression. During these drier conditions, infiltration comprised 30% of the outflows from the depression during declining pond stages. Over the entire study period, the surface drain, delivering water to the stream, was the largest outflow from the pond, accounting for 97% of the outflow, while evapotranspiration was just 2%. Precipitation onto the pond surface proved to be a minor component, accounting for 4% of the total inflows.","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/2013.42367","usgsCitation":"Roth, J.L., and Capel, P.D., 2012, The hydrology of a drained topographical depression within an agricutlural field in north-central Iowa: Transactions of the American Society of Agricultural and Biological Engineers, v. 55, no. 5, p. 1801-1814, https://doi.org/10.13031/2013.42367.","productDescription":"15 p.","startPage":"1801","endPage":"1814","ipdsId":"IP-034171","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":381889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.6395,40.3754 ], [ -96.6395,43.5012 ], [ -90.1401,43.5012 ], [ -90.1401,40.3754 ], [ -96.6395,40.3754 ] ] ] } } ] }","volume":"55","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e507d0e4b0e8fec6cea015","contributors":{"authors":[{"text":"Roth, Jason L. 0000-0001-5440-2775 jroth@usgs.gov","orcid":"https://orcid.org/0000-0001-5440-2775","contributorId":4789,"corporation":false,"usgs":true,"family":"Roth","given":"Jason","email":"jroth@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":468569,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040563,"text":"70040563 - 2012 - Occurrence and potential sources of pyrethroid insecticides in stream sediments from seven U.S. metropolitan areas","interactions":[],"lastModifiedDate":"2012-11-01T15:06:01","indexId":"70040563","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and potential sources of pyrethroid insecticides in stream sediments from seven U.S. metropolitan areas","docAbstract":"A nationally consistent approach was used to assess the occurrence and potential sources of pyrethroid insecticides in stream bed sediments from seven metropolitan areas across the United States. One or more pyrethroids were detected in almost half of the samples, with bifenthrin detected the most frequently (41%) and in each metropolitan area. Cyhalothrin, cypermethrin, permethrin, and resmethrin were detected much less frequently. Pyrethroid concentrations and Hyalella azteca mortality in 28-d tests were lower than in most urban stream studies. Log-transformed total pyrethroid toxic units (TUs) were significantly correlated with survival and bifenthrin was likely responsible for the majority of the observed toxicity. Sampling sites spanned a wide range of urbanization and log-transformed total pyrethroid concentrations were significantly correlated with urban land use. Dallas/Fort Worth had the highest pyrethroid detection frequency (89%), the greatest number of pyrethroids (4), and some of the highest concentrations. Salt Lake City had a similar percentage of detections but only bifenthrin was detected and at lower concentrations. The variation in pyrethroid concentrations among metropolitan areas suggests regional differences in pyrethroid use and transport processes. This study shows that pyrethroids commonly occur in urban stream sediments and may be contributing to sediment toxicity across the country.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es2044882","usgsCitation":"Kuivila, K., Hladik, M., Ingersoll, C.G., Kemble, N.E., Moran, P.W., Calhoun, D.L., Nowell, L.H., and Gilliom, R.J., 2012, Occurrence and potential sources of pyrethroid insecticides in stream sediments from seven U.S. metropolitan areas: Environmental Science & Technology, v. 46, no. 8, p. 4297-4303, https://doi.org/10.1021/es2044882.","productDescription":"7 p.","startPage":"4297","endPage":"4303","numberOfPages":"13","ipdsId":"IP-027292","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262888,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es2044882"}],"country":"United States","state":"Alabama;Connecticut;Georgia;Massachusetts;New Hampshire;Rhode Island;Texas;Utah;Washington;Wisconsin;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,29.8 ], [ -124.8,49.0 ], [ -70.15,49.0 ], [ -70.15,29.8 ], [ -124.8,29.8 ] ] ] } } ] }","volume":"46","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-03-28","publicationStatus":"PW","scienceBaseUri":"50e0bb0be4b0fec3206efdb9","contributors":{"authors":[{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":468548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":468547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":468550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":468551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":468546,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":468544,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70040557,"text":"70040557 - 2012 - The relationship between total cholinesterase activity and mortality in four butterfly species","interactions":[],"lastModifiedDate":"2012-11-01T14:21:24","indexId":"70040557","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The relationship between total cholinesterase activity and mortality in four butterfly species","docAbstract":"The relationship between total cholinesterase activity (TChE) and mortality in four butterfly species (great southern white [Ascia monuste], common buckeye [Junonia coenia], painted lady [Vanessa cardui], and julia butterflies [Dryas julia]) was investigated. Acute contact toxicity studies were conducted to evaluate the response (median lethal dose [LD50] and TChE) of the four species following exposure to the organophosphate insecticide naled. The LD50 for these butterflies ranged from 2.3 to 7.6 μg/g. The average level of TChE inhibition associated with significant mortality ranged from 26 to 67%, depending on the species. The lower bounds of normal TChE activity (2 standard deviations less than the average TChE for reference butterflies) ranged from 8.4 to 12.3 μM/min/g. As a percentage of the average reference TChE activity for the respective species, the lower bounds were similar to the inhibition levels associated with significant mortality, indicating there was little difference between the dose resulting in significant TChE inhibition and that resulting in mortality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.1927","usgsCitation":"Bargar, T.A., 2012, The relationship between total cholinesterase activity and mortality in four butterfly species: Environmental Toxicology and Chemistry, v. 31, no. 9, p. 2124-2129, https://doi.org/10.1002/etc.1927.","productDescription":"6 p.","startPage":"2124","endPage":"2129","ipdsId":"IP-035238","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.1927"}],"volume":"31","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-06-27","publicationStatus":"PW","scienceBaseUri":"50e50d22e4b0e8fec6ceaba4","contributors":{"authors":[{"text":"Bargar, Timothy A. 0000-0001-8588-3436 tbargar@usgs.gov","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":2450,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","email":"tbargar@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":468511,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040578,"text":"70040578 - 2012 - Recent advances in applying decision science to managing national forests","interactions":[],"lastModifiedDate":"2012-11-01T16:12:13","indexId":"70040578","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Recent advances in applying decision science to managing national forests","docAbstract":"Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring the preferred alternative with adaptive management feedbacks. We list a wide array of models, techniques, and tools available for each stage, and provide three case studies of their selected use in National Forest land management and project plans. Successful use of SDM involves participation by decision-makers, analysts, scientists, and stakeholders. We suggest specific areas for training and instituting SDM to foster transparency, rigor, clarity, and inclusiveness in formal decision processes regarding management of national forests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2012.08.024","usgsCitation":"Marcot, B., Thompson, M.P., Runge, M.C., Thompson, F., McNulty, S., Cleaves, D., Tomosy, M., Fisher, L.A., and Andrew, B., 2012, Recent advances in applying decision science to managing national forests: Forest Ecology and Management, v. 285, p. 123-132, https://doi.org/10.1016/j.foreco.2012.08.024.","productDescription":"10 p.","startPage":"123","endPage":"132","numberOfPages":"12","ipdsId":"IP-040803","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":262900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262899,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.08.024"}],"country":"United States","volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e49d37e4b0e8fec6cda8ad","contributors":{"authors":[{"text":"Marcot, Bruce G.","contributorId":58015,"corporation":false,"usgs":true,"family":"Marcot","given":"Bruce G.","affiliations":[],"preferred":false,"id":468592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Matthew P.","contributorId":25045,"corporation":false,"usgs":true,"family":"Thompson","given":"Matthew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":468590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":468588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Frank R.","contributorId":6730,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank R.","affiliations":[],"preferred":false,"id":468589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNulty, Steven","contributorId":95765,"corporation":false,"usgs":true,"family":"McNulty","given":"Steven","affiliations":[],"preferred":false,"id":468596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cleaves, David","contributorId":80972,"corporation":false,"usgs":true,"family":"Cleaves","given":"David","affiliations":[],"preferred":false,"id":468594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tomosy, Monica","contributorId":70255,"corporation":false,"usgs":true,"family":"Tomosy","given":"Monica","email":"","affiliations":[],"preferred":false,"id":468593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Larry A.","contributorId":80973,"corporation":false,"usgs":true,"family":"Fisher","given":"Larry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468595,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Andrew, Bliss","contributorId":45970,"corporation":false,"usgs":true,"family":"Andrew","given":"Bliss","email":"","affiliations":[],"preferred":false,"id":468591,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70040558,"text":"70040558 - 2012 - Phylogeographic implications for release of critically endangered manatee calves rescued in Northeast Brazil","interactions":[],"lastModifiedDate":"2012-10-31T14:55:24","indexId":"70040558","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeographic implications for release of critically endangered manatee calves rescued in Northeast Brazil","docAbstract":"1. The Antillean manatee (Trichechus manatus manatus), a subspecies of the West Indian manatee, is a large-bodied marine mammal found in fresh, brackish, and marine habitats throughout the Caribbean Islands and Central and South America. Antillean manatees in Brazil are classified as critically endangered, with a census size of approximately 500 individuals. The population in the Northeast region of Brazil is suspected to have approximately 300 manatees and is threatened by habitat alteration and incidental entanglement in fishing gear.\n\n2. A high incidence of dependent calf strandings have been identified near areas of altered critical manatee habitat. The majority of the calves are neonates, discovered alive, with no potential mothers nearby. These calves typically require human intervention to survive.\nSince 1989 the calves have been rescued (N=67), rehabilitated, and released (N=25) to supplement the small wild manatee population. The rescued calves, and those born in captivity, are typically, not released to their rescue location, mainly for logistical reasons. Therefore, phylogeographic analyses can help to identify related populations and appropriate release sites.\n\n3. Here, mitochondrial DNA analyses identified low haplotype (h=0.08) and nucleotide (π=0.0026) genetic diversity in three closely related haplotypes. All three haplotypes (M01, M03, and a previously unidentified haplotype, M04) were found in the northern portion of the region, while only a single haplotype (M01) was represented in the south. This suggests the presence of two genetic groups with a central mixing zone. Release of rehabilitated calves to unrelated populations may result in genetic swamping of locally adapted alleles or genotypes, limiting the evolutionary potential of the population.\n\n4. The small population size coupled with low genetic diversity indicates that the Northeast Brazil manatee population is susceptible to inbreeding depression and possible local extinction. 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Each day, the U.S. Geological Survey produces 7-day forecasts for all Federal lands of the distributions of number of ignitions, number of fires above a given size, and conditional probabilities of fires growing larger than a specified size. The large fire probability map is an estimate of the likelihood that ignitions will become large fires. The large fire forecast map is a probability estimate of the number of fires on federal lands exceeding 100 acres in the forthcoming week. The ignition forecast map is a probability estimate of the number of fires on Federal land greater than 1 acre in the forthcoming week. The extreme event forecast is the probability estimate of the number of fires on Federal land that may exceed 5,000 acres in the forthcoming week.

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White nose syndrome, caused by Geomyces destructans, has killed more than 5 million cave hibernating bats in eastern North America. During hibernation, the lack of inflammatory cell recruitment at the site of fungal infection and erosion is consistent with a temperature-induced inhibition of immune cell trafficking. This immune suppression allows G. destructans to colonize and erode the skin of wings, ears and muzzle of bat hosts unchecked. Yet, paradoxically, within weeks of emergence from hibernation an intense neutrophilic inflammatory response to G. destructans is generated, causing severe pathology that can contribute to death. We hypothesize that the sudden reversal of immune suppression in bats upon the return to euthermia leads to a form of immune reconstitution inflammatory syndrome (IRIS), which was first described in HIV-infected humans with low helper T lymphocyte counts and bacterial or fungal opportunistic infections. IRIS is a paradoxical and rapid worsening of symptoms in immune compromised humans upon restoration of immunity in the face of an ongoing infectious process. In humans with HIV, the restoration of adaptive immunity following suppression of HIV replication with anti-retroviral therapy (ART) can trigger severe immune-mediated tissue damage that can result in death. We propose that the sudden restoration of immune responses in bats infected with G. destructans results in an IRIS-like dysregulated immune response that causes the post-emergent pathology.

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Between January 1 and December 31, 2011, the Alaska Volcano Observatory (AVO) located 4,364 earthquakes, of which 3,651 occurred within 20 kilometers of the 33 volcanoes with seismograph subnetworks. There was no significant seismic activity above background levels in 2011 at these instrumented volcanic centers. This catalog includes locations, magnitudes, and statistics of the earthquakes located in 2011 with the station parameters, velocity models, and other files used to locate these earthquakes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds730","usgsCitation":"Dixon, J.P., Stihler, S.D., Power, J.A., and Searcy, C.K., 2012, Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2011: U.S. Geological Survey Data Series 730, Report: iv; 82 p.; Zip file, https://doi.org/10.3133/ds730.","productDescription":"Report: iv; 82 p.; Zip file","numberOfPages":"90","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":262861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_730.jpg"},{"id":262855,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/730/","linkFileType":{"id":5,"text":"html"}},{"id":262857,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/730/2011_AVO_Seismic_Catalog.zip","text":"Seismic Catalog","size":"14 MB","linkFileType":{"id":6,"text":"zip"},"description":"Seismic Catalog"},{"id":262856,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/730/pdf/ds730.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -181.82373046875,\n 50.86491125522503\n ],\n [\n -182.120361328125,\n 52.09975692575725\n ],\n [\n -170.33203125,\n 61.33353967329142\n ],\n [\n -153.45703125,\n 65.47650756256367\n ],\n [\n -141.15234374999997,\n 66.26685631430843\n ],\n [\n -141.15234374999997,\n 59.88893689676585\n ],\n [\n -153.8525390625,\n 53.69670647530323\n ],\n [\n -181.82373046875,\n 50.86491125522503\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5090e8dae4b0e1c52f42b7df","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":468498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D.","contributorId":31373,"corporation":false,"usgs":true,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":468499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":468497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Searcy, Cheryl K.","contributorId":107013,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":468500,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040508,"text":"70040508 - 2012 - Watershed regressions for pesticides (warp) models for predicting atrazine concentrations in Corn Belt streams","interactions":[],"lastModifiedDate":"2012-10-29T17:16:28","indexId":"70040508","displayToPublicDate":"2012-10-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Watershed regressions for pesticides (warp) models for predicting atrazine concentrations in Corn Belt streams","docAbstract":"Watershed Regressions for Pesticides (WARP) models, previously developed for atrazine at the national scale, are improved for application to the United States (U.S.) Corn Belt region by developing region-specific models that include watershed characteristics that are influential in predicting atrazine concentration statistics within the Corn Belt. WARP models for the Corn Belt (WARP-CB) were developed for annual maximum moving-average (14-, 21-, 30-, 60-, and 90-day durations) and annual 95th-percentile atrazine concentrations in streams of the Corn Belt region. The WARP-CB models accounted for 53 to 62% of the variability in the various concentration statistics among the model-development sites. Model predictions were within a factor of 5 of the observed concentration statistic for over 90% of the model-development sites. The WARP-CB residuals and uncertainty are lower than those of the National WARP model for the same sites. Although atrazine-use intensity is the most important explanatory variable in the National WARP models, it is not a significant variable in the WARP-CB models. The WARP-CB models provide improved predictions for Corn Belt streams draining watersheds with atrazine-use intensities of 17 kg/km2 of watershed area or greater.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1752-1688.2012.00661.x","usgsCitation":"Stone, W.W., and Gilliom, R.J., 2012, Watershed regressions for pesticides (warp) models for predicting atrazine concentrations in Corn Belt streams: Journal of the American Water Resources Association, v. 48, no. 5, p. 970-986, https://doi.org/10.1111/j.1752-1688.2012.00661.x.","productDescription":"17 p.","startPage":"970","endPage":"986","numberOfPages":"17","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":262839,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2012.00661.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Corn Belt","volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-31","publicationStatus":"PW","scienceBaseUri":"508f9790e4b0a1b43c29ca15","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":468489,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040509,"text":"ofr20121204 - 2012 - Landslides in Colorado, USA--Impacts and loss estimation for 2010","interactions":[],"lastModifiedDate":"2012-11-05T11:04:12","indexId":"ofr20121204","displayToPublicDate":"2012-10-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1204","title":"Landslides in Colorado, USA--Impacts and loss estimation for 2010","docAbstract":"The focus of this study is to investigate landslides and consequent losses which affected Colorado in the year 2010. By obtaining landslide reports from a variety of sources, this report will demonstrate the feasibility of creating a profile of landslides and their effects on communities. A short overview of the current status of landslide-loss studies for the United States is introduced, followed by a compilation of landslide occurrence and associated losses and impacts which affected Colorado for the year 2010. Direct costs are summarized in descriptive and tabular form, and where possible, indirect costs are also noted or estimated. Total direct costs of landslides in Colorado for the year 2010 were approximately $9,149,335.00 (2010 U.S. dollars). (Since not all data for damages and costs were obtained, this figure realistically could be considerably higher.) Indirect costs were noted where available but are not totaled due to the fact that most indirect costs were not obtainable for various reasons outlined later in this report. Casualty data are considered as being within the scope of loss evaluation, and are reported in Appendix 1, but are not assigned dollar losses. More details on the source material for loss data not found in the reference section are reported in Appendix 2, and Appendix 3 summarizes notes on landslide-loss investigations in general and lessons learned during the process of loss-data collection.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121204","usgsCitation":"Highland, L.M., 2012, Landslides in Colorado, USA--Impacts and loss estimation for 2010: U.S. Geological Survey Open-File Report 2012-1204, v, 49 p.; maps (col.), https://doi.org/10.3133/ofr20121204.","productDescription":"v, 49 p.; maps (col.)","startPage":"i","endPage":"49","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":262832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1204.gif"},{"id":262828,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1204/","linkFileType":{"id":5,"text":"html"}},{"id":262829,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1204/OF12-1204.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Colorado","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508eb5efe4b0b59cf7f5a7e6","contributors":{"authors":[{"text":"Highland, Lynn M. highland@usgs.gov","contributorId":1292,"corporation":false,"usgs":true,"family":"Highland","given":"Lynn","email":"highland@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":468491,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040502,"text":"70040502 - 2012 - Compartment-based hydrodynamics and water quality modeling of a northern Everglades wetland, Florida, USA","interactions":[],"lastModifiedDate":"2013-01-17T21:25:45","indexId":"70040502","displayToPublicDate":"2012-10-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Compartment-based hydrodynamics and water quality modeling of a northern Everglades wetland, Florida, USA","docAbstract":"The last remaining large remnant of softwater wetlands in the US Florida Everglades lies within the Arthur R. Marshall Loxahatchee National Wildlife Refuge. However, Refuge water quality today is impacted by pumped stormwater inflows to the eutrophic and mineral-enriched 100-km canal, which circumscribes the wetland. Optimal management is a challenge and requires scientifically based predictive tools to assess and forecast the impacts of water management on Refuge water quality. In this research, we developed a compartment-based numerical model of hydrodynamics and water quality for the Refuge. Using the numerical model, we examined the dynamics in stage, water depth, discharge from hydraulic structures along the canal, and exchange flow among canal and marsh compartments. We also investigated the transport of chloride, sulfate and total phosphorus from the canal to the marsh interior driven by hydraulic gradients as well as biological removal of sulfate and total phosphorus. The model was calibrated and validated using long-term stage and water quality data (1995-2007). Statistical analysis indicates that the model is capable of capturing the spatial (from canal to interior marsh) gradients of constituents across the Refuge. Simulations demonstrate that flow from the eutrophic and mineral-enriched canal impacts chloride and sulfate in the interior marsh. In contrast, total phosphorus in the interior marsh shows low sensitivity to intrusion and dispersive transport. We conducted a rainfall-driven scenario test in which the pumped inflow concentrations of chloride, sulfate and total phosphorus were equal to rainfall concentrations (wet deposition). This test shows that pumped inflow is the dominant factor responsible for the substantially increased chloride and sulfate concentrations in the interior marsh. Therefore, the present day Refuge should not be classified as solely a rainfall-driven or ombrotrophic wetland. The model provides an effective screening tool for studying the impacts of various water management alternatives on water quality across the Refuge, and demonstrates the practicality of similarly modeling other wetland systems. As a general rule, modeling provides one component of a multi-faceted effort to provide technical support for ecosystem management decisions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolmodel.2012.09.007","usgsCitation":"Wang, H., Meselhe, E.A., Waldon, M.G., Harwell, M., and Chen, C., 2012, Compartment-based hydrodynamics and water quality modeling of a northern Everglades wetland, Florida, USA: Ecological Modelling, v. 247, p. 273-285, https://doi.org/10.1016/j.ecolmodel.2012.09.007.","productDescription":"13 p.","startPage":"273","endPage":"285","numberOfPages":"12","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":262837,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262823,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.09.007","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"247","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508f9770e4b0a1b43c29ca07","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":4421,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":468469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meselhe, Ehab A.","contributorId":70660,"corporation":false,"usgs":true,"family":"Meselhe","given":"Ehab","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waldon, Michael G.","contributorId":19442,"corporation":false,"usgs":true,"family":"Waldon","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":468472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harwell, Matthew C.","contributorId":14702,"corporation":false,"usgs":true,"family":"Harwell","given":"Matthew C.","affiliations":[],"preferred":false,"id":468471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Chunfang","contributorId":11078,"corporation":false,"usgs":true,"family":"Chen","given":"Chunfang","email":"","affiliations":[],"preferred":false,"id":468470,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040504,"text":"70040504 - 2012 - A basin-scale approach for assessing water resources in a semiarid environment: San Diego region, California and Mexico","interactions":[],"lastModifiedDate":"2017-09-20T13:31:51","indexId":"70040504","displayToPublicDate":"2012-10-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A basin-scale approach for assessing water resources in a semiarid environment: San Diego region, California and Mexico","docAbstract":"

Many basins throughout the world have sparse hydrologic and geologic data, but have increasing demands for water and a commensurate need for integrated understanding of surface and groundwater resources. This paper demonstrates a methodology for using a distributed parameter water-balance model, gaged surface-water flow, and a reconnaissance-level groundwater flow model to develop a first-order water balance. Flow amounts are rounded to the nearest 5 million cubic meters per year.

The San Diego River basin is 1 of 5 major drainage basins that drain to the San Diego coastal plain, the source of public water supply for the San Diego area. The distributed parameter water-balance model (Basin Characterization Model) was run at a monthly timestep for 1940–2009 to determine a median annual total water inflow of 120 million cubic meters per year for the San Diego region. The model was also run specifically for the San Diego River basin for 1982–2009 to provide constraints to model calibration and to evaluate the proportion of inflow that becomes groundwater discharge, resulting in a median annual total water inflow of 50 million cubic meters per year. On the basis of flow records for the San Diego River at Fashion Valley (US Geological Survey gaging station 11023000), when corrected for upper basin reservoir storage and imported water, the total is 30 million cubic meters per year. The difference between these two flow quantities defines the annual groundwater outflow from the San Diego River basin at 20 million cubic meters per year. These three flow components constitute a first-order water budget estimate for the San Diego River basin. The ratio of surface-water outflow and groundwater outflow to total water inflow are 0.6 and 0.4, respectively. Using total water inflow determined using the Basin Characterization Model for the entire San Diego region and the 0.4 partitioning factor, groundwater outflow from the San Diego region, through the coastal plain aquifer to the Pacific Ocean, is calculated to be approximately 50 million cubic meters per year.

The area-scale assessment of water resources highlights several hydrologic features of the San Diego region. Groundwater recharge is episodic; the Basin Characterization Model output shows that 90 percent of simulated recharge occurred during 3 percent of the 1982–2009 period. The groundwater aquifer may also be quite permeable. A reconnaissance-level groundwater flow model for the San Diego River basin was used to check the water budget estimates, and the basic interaction of the surface-water and groundwater system, and the flow values, were found to be reasonable. Horizontal hydraulic conductivity values of the volcanic and metavolcanic bedrock in San Diego region range from 1 to 10 m per day. Overall, results establish an initial hydrologic assessment formulated on the basis of sparse hydrologic data. The described flow variability, extrapolation, and unique characteristics represent a realistic view of current (2012) hydrologic understanding for the San Diego region.

","language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/hess-16-3817-2012","usgsCitation":"Flint, L.E., Flint, A.L., Stolp, B., and Danskin, W., 2012, A basin-scale approach for assessing water resources in a semiarid environment: San Diego region, California and Mexico: Hydrology and Earth System Sciences, v. 16, no. 10, p. 3817-3833, https://doi.org/10.5194/hess-16-3817-2012.","productDescription":"17 p.","startPage":"3817","endPage":"3833","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":474288,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-16-3817-2012","text":"Publisher Index Page"},{"id":262836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","state":"California","otherGeospatial":"Otay River, San Diego River, San Dieguito River, Sweetwater River, Tijuana River ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.08154296875001,\n 32.616243412727385\n ],\n [\n -115.84533691406249,\n 32.46806060917602\n ],\n [\n -115.87280273437499,\n 32.24532861404601\n ],\n [\n -115.77392578125,\n 31.93817848559113\n ],\n [\n -115.68603515624999,\n 31.41460027631321\n ],\n [\n -116.16943359374999,\n 31.541089879585808\n ],\n [\n -116.510009765625,\n 31.924192605327708\n ],\n [\n -116.74621582031249,\n 32.06861069132688\n ],\n [\n -116.971435546875,\n 32.491230287947594\n ],\n [\n -117.11975097656249,\n 32.616243412727385\n ],\n [\n -117.2515869140625,\n 32.685619853722\n ],\n [\n -117.26806640625,\n 32.91187391621322\n ],\n [\n -117.3065185546875,\n 33.119150226768866\n ],\n [\n -116.70227050781249,\n 33.33970700424026\n ],\n [\n -116.2738037109375,\n 32.90726224488304\n ],\n [\n -116.08154296875001,\n 32.616243412727385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-26","publicationStatus":"PW","scienceBaseUri":"508f9760e4b0a1b43c29ca03","contributors":{"authors":[{"text":"Flint, L. E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":38180,"corporation":false,"usgs":true,"family":"Flint","given":"L.","middleInitial":"E.","affiliations":[],"preferred":false,"id":468481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, A. L.","contributorId":102453,"corporation":false,"usgs":true,"family":"Flint","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stolp, Bernard J. 0000-0003-3803-1497","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":71942,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard J.","affiliations":[],"preferred":false,"id":468482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danskin, W.R. 0000-0001-8672-5501","orcid":"https://orcid.org/0000-0001-8672-5501","contributorId":22713,"corporation":false,"usgs":true,"family":"Danskin","given":"W.R.","affiliations":[],"preferred":false,"id":468480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040506,"text":"sir20125211 - 2012 - Investigation of land subsidence in the Houston-Galveston region of Texas by using the Global Positioning System and interferometric synthetic aperture radar, 1993-2000","interactions":[],"lastModifiedDate":"2016-08-05T16:28:10","indexId":"sir20125211","displayToPublicDate":"2012-10-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5211","title":"Investigation of land subsidence in the Houston-Galveston region of Texas by using the Global Positioning System and interferometric synthetic aperture radar, 1993-2000","docAbstract":"

Since the early 1900s, groundwater has been the primary source of municipal, industrial, and agricultural water supplies for the Houston-Galveston region, Texas. The region's combination of hydrogeology and nearly century-long use of groundwater has resulted in one of the largest areas of subsidence in the United States; by 1979, as much as 3 meters (m) of subsidence had occurred, and approximately 8,300 square kilometers of land had subsided more than 0.3 m. The U.S. Geological Survey, in cooperation with the Harris-Galveston Subsidence District, used interferometric synthetic aperture radar (InSAR) data obtained for four overlapping scenes from European remote sensing satellites ERS-1 and ERS-2 to analyze land subsidence in the Houston-Galveston region of Texas. The InSAR data were processed into 27 interferograms that delineate and quantify land-subsidence patterns and magnitudes. Contemporaneous data from the Global Positioning System (GPS) were reprocessed by the National Geodetic Survey and analyzed to support, verify, and provide temporal resolution to the InSAR investigation.

\n

The interferograms show that the area of historical subsidence in downtown Houston along the Houston Ship Channel has stabilized and that recent subsidence occurs farther west and north of Galveston Bay. Three areas of recent subsidence were delineated along a broad arcuate (bowshaped) feature from Spring, Tex., southwest to Cypress, Tex., and south to Sugar Land, Tex., with subsidence rates ranging from 15 millimeters per year (mm/yr) to greater than 60 mm/yr. Multiyear interferograms near Seabrook, Tex., within the historical subsidence area and nearby Galveston Bay, show several fringes of subsidence (approximately 85 millimeters from January 1996 to December 1997) in the area; however it is difficult to determine the subsidence magnitude near Seabrook because many of the InSAR fringes were truncated or ill-defined. Horizontal and vertical GPS data throughout the area support the InSAR measured subsidence rates and extent. The subsidence rates for a few GPS stations northwest of Houston began to decrease in 2007, which may indicate that subsidence may be decreasing in these areas.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125211","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District","usgsCitation":"Bawden, G.W., Johnson, M., Kasmarek, M.C., Brandt, J.T., and Middleton, C.S., 2012, Investigation of land subsidence in the Houston-Galveston region of Texas by using the Global Positioning System and interferometric synthetic aperture radar, 1993-2000: U.S. Geological Survey Scientific Investigations Report 2012-5211, v, 88 p., https://doi.org/10.3133/sir20125211.","productDescription":"v, 88 p.","numberOfPages":"98","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":262833,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5211.gif"},{"id":262830,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5211/","linkFileType":{"id":5,"text":"html"}},{"id":262831,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5211/pdf/sir2012-5211.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","city":"Galveston, Houston","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508eb5e2e4b0b59cf7f5a7e2","contributors":{"authors":[{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Clifton S.","contributorId":62457,"corporation":false,"usgs":true,"family":"Middleton","given":"Clifton","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468488,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040500,"text":"70040500 - 2012 - Prevalence of a potentially lethal parasite of wading birds in natural and agricultural wetlands in south Louisiana","interactions":[],"lastModifiedDate":"2012-10-29T17:16:28","indexId":"70040500","displayToPublicDate":"2012-10-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of a potentially lethal parasite of wading birds in natural and agricultural wetlands in south Louisiana","docAbstract":"Gambusia affinis (Western Mosquitofish) were sampled from 18 sites representing marsh, forested wetlands, and agricultural wetlands in south Louisiana to determine distribution and infection parameters of Eustrongylides ignotus, a potentially lethal nematode parasite of wading birds, (n = 400 per site). Overall, prevalence of infection was 0.3%, with significantly higher prevalence in agricultural wetlands than in marshes or swamps. Our findings are similar to work in Florida suggesting parasite prevalence is higher in disturbed wetlands, and suggest that birds foraging in crayfish ponds and rice fields may be at increased risk of exposure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Eagle Hill Institute","publisherLocation":"Steuben, ME","doi":"10.1656/058.011.0305","usgsCitation":"Luent, M.C., Collins, M., Jeske, C., and Leberg, P., 2012, Prevalence of a potentially lethal parasite of wading birds in natural and agricultural wetlands in south Louisiana: Southeastern Naturalist, v. 11, no. 3, p. 415-422, https://doi.org/10.1656/058.011.0305.","productDescription":"8 p.","startPage":"415","endPage":"422","numberOfPages":"7","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":262838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262822,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/058.011.0305","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508f9788e4b0a1b43c29ca11","contributors":{"authors":[{"text":"Luent, Margaret C.","contributorId":75797,"corporation":false,"usgs":true,"family":"Luent","given":"Margaret","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Melissa collinsm@usgs.gov","contributorId":5511,"corporation":false,"usgs":true,"family":"Collins","given":"Melissa","email":"collinsm@usgs.gov","affiliations":[],"preferred":true,"id":468454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeske, Clinton","contributorId":57312,"corporation":false,"usgs":true,"family":"Jeske","given":"Clinton","affiliations":[],"preferred":false,"id":468455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leberg, Paul","contributorId":85023,"corporation":false,"usgs":true,"family":"Leberg","given":"Paul","affiliations":[],"preferred":false,"id":468457,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215747,"text":"70215747 - 2012 - Hydrozincite seasonal precipitation at Naracauli (Sardinia – Italy): Hydrochemical factors and morphological features of the biomineralization process","interactions":[],"lastModifiedDate":"2020-10-28T15:08:46.562546","indexId":"70215747","displayToPublicDate":"2012-10-28T10:00:58","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hydrozincite seasonal precipitation at Naracauli (Sardinia – Italy): Hydrochemical factors and morphological features of the biomineralization process","docAbstract":"

Hydrozincite [Zn5(CO3)2(OH)6] precipitation from Naracauli waters (SW Sardinia) is, among other things, promoted by a microbial community made up of a filamentous cyanobacterium (Scytonema sp.) and a microalgae (Chlorella sp.). Hydrozincite bioprecipitation is responsible for the natural removal of harmful metals, especially Zn, from the stream waters. Thus, hydrozincite could be used to attenuate metal pollution in mining waters. Information on environmental conditions which promote the biomineralization process is fundamental for the development of remediation strategies. This paper aims to investigate the variables controlling the biomineralization process, and seasonal variation of the hydrochemical factors that affect hydrozincite precipitation. Hydrozincite morphology varies depending on the environmental conditions. Specifically, changes were observed between samples collected in late spring and samples collected in summer, and among samples precipitated under different water flow conditions. According to field observations, correlated with speciation and equilibrium calculation, the maximum intensity in hydrozincite precipitation occurs in the late spring during rainy years. In these conditions, the hydraulic regime in the stream reaches stationary conditions, and saturation index values with respect to hydrozincite reach their highest values. Concomitantly, the Zn2+/CO32-\">CO32- molar ratio reaches values close to 1, indicating that kinetic processes have a role on the hydrozincite biomineralization process.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2012.02.016","usgsCitation":"Medas, D., Cidu, R., Lattanzi, P., Podda, F., Wanty, R.B., and De Giudici, G., 2012, Hydrozincite seasonal precipitation at Naracauli (Sardinia – Italy): Hydrochemical factors and morphological features of the biomineralization process: Applied Geochemistry, v. 27, no. 9, p. 1814-1820, https://doi.org/10.1016/j.apgeochem.2012.02.016.","productDescription":"7 p.","startPage":"1814","endPage":"1820","ipdsId":"IP-029689","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488809,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3414460","text":"External Repository"},{"id":379871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Sardinia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 7.6025390625,\n 38.736946065676\n ],\n [\n 9.99755859375,\n 38.736946065676\n ],\n [\n 9.99755859375,\n 41.29431726315258\n ],\n [\n 7.6025390625,\n 41.29431726315258\n ],\n [\n 7.6025390625,\n 38.736946065676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Medas, D.","contributorId":108421,"corporation":false,"usgs":true,"family":"Medas","given":"D.","affiliations":[],"preferred":false,"id":803285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cidu, R.","contributorId":22708,"corporation":false,"usgs":true,"family":"Cidu","given":"R.","affiliations":[],"preferred":false,"id":803286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lattanzi, P.","contributorId":40034,"corporation":false,"usgs":true,"family":"Lattanzi","given":"P.","affiliations":[],"preferred":false,"id":803287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podda, F.","contributorId":89074,"corporation":false,"usgs":false,"family":"Podda","given":"F.","affiliations":[],"preferred":false,"id":803288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":803289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Giudici, G.","contributorId":147318,"corporation":false,"usgs":false,"family":"De Giudici","given":"G.","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":803290,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}