{"pageNumber":"648","pageRowStart":"16175","pageSize":"25","recordCount":46883,"records":[{"id":70118554,"text":"70118554 - 2012 - Molecular dynamics simulation of nitric oxide in myoglobin","interactions":[],"lastModifiedDate":"2014-07-29T11:41:30","indexId":"70118554","displayToPublicDate":"2012-01-01T11:35:50","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2423,"text":"Journal of Physical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Molecular dynamics simulation of nitric oxide in myoglobin","docAbstract":"The infrared (IR) spectroscopy and ligand migration of photodissociated nitric oxide (NO) in and around the active sites in myoglobin (Mb) are investigated. A distributed multipolar model for open-shell systems is developed and used, which allows one to realistically describe the charge distribution around the diatomic probe molecule. The IR spectra were computed from the trajectories for two conformational substates at various temperatures. The lines are narrow (width of 3–7 cm<sup>–1</sup> at 20–100 K), in agreement with the experimental observations where they have widths of 4–5 cm<sup>–1</sup> at 4 K. It is found that within one conformational substate (B or C) the splitting of the spectrum can be correctly described compared with recent experiments. Similar to photodissociated CO in Mb, additional substates exist for NO in Mb, which are separated by barriers below 1 kcal/mol. Contrary to full quantum mechanical calculations, however, the force field and mixed QM/MM simulations do not correctly describe the relative shifts between the B- and C-states relative to gas-phase NO. Free energy simulations establish that NO preferably localizes in the distal site and the barrier for migration to the neighboring Xe4 pocket is Δ<i>G</i><sub>B→C</sub> = 1.7–2.0 kcal/mol. The reverse barrier is Δ<i>G</i><sub>B←C</sub> = 0.7 kcal/mol, which agrees well with the experimental value of 0.7 kcal/mol, estimated from kinetic data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Physical Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/jp212112f","usgsCitation":"Lee, M.W., and Meuwly, M., 2012, Molecular dynamics simulation of nitric oxide in myoglobin: Journal of Physical Chemistry, v. 116, no. 14, p. 4154-4162, https://doi.org/10.1021/jp212112f.","productDescription":"9 p.","startPage":"4154","endPage":"4162","numberOfPages":"9","costCenters":[],"links":[{"id":291291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291289,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/jp212112f"}],"volume":"116","issue":"14","noUsgsAuthors":false,"publicationDate":"2012-03-28","publicationStatus":"PW","scienceBaseUri":"57f7f556e4b0bc0bec0a15ad","contributors":{"authors":[{"text":"Lee, Myung Won","contributorId":58950,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"","middleInitial":"Won","affiliations":[],"preferred":false,"id":496997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meuwly, Markus","contributorId":79408,"corporation":false,"usgs":true,"family":"Meuwly","given":"Markus","email":"","affiliations":[],"preferred":false,"id":496998,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048257,"text":"70048257 - 2012 - Extreme events, trends, and variability in Northern Hemisphere lake-ice phenology (1855-2005)","interactions":[],"lastModifiedDate":"2013-09-19T11:38:41","indexId":"70048257","displayToPublicDate":"2012-01-01T11:33:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Extreme events, trends, and variability in Northern Hemisphere lake-ice phenology (1855-2005)","docAbstract":"Often extreme events, more than changes in mean conditions, have the greatest impact on the environment and human well-being. Here we examine changes in the occurrence of extremes in the timing of the annual formation and disappearance of lake ice in the Northern Hemisphere. Both changes in the mean condition and in variability around the mean condition can alter the probability of extreme events. Using long-term ice phenology data covering two periods 1855–6 to 2004–5 and 1905–6 to 2004–5 for a total of 75 lakes, we examined patterns in long-term trends and variability in the context of understanding the occurrence of extreme events. We also examined patterns in trends for a 30-year subset (1975–6 to 2004–5) of the 100-year data set. Trends for ice variables in the recent 30-year period were steeper than those in the 100- and 150-year periods, and trends in the 150-year period were steeper than in the 100-year period. Ranges of rates of change (days per decade) among time periods based on linear regression were 0.3−1.6 later for freeze, 0.5−1.9 earlier for breakup, and 0.7−4.3 shorter for duration. Mostly, standard deviation did not change, or it decreased in the 150-year and 100-year periods. During the recent 50-year period, standard deviation calculated in 10-year windows increased for all ice measures. For the 150-year and 100-year periods changes in the mean ice dates rather than changes in variability most strongly influenced the significant increases in the frequency of extreme lake ice events associated with warmer conditions and decreases in the frequency of extreme events associated with cooler conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-011-0212-8","usgsCitation":"Benson, B.J., Magnuson, J., Jensen, O.P., Card, V.M., Hodgkins, G., Korhonen, J., Livingstone, D., Stewart, K.M., Weyhenmeyer, G., and Granin, N., 2012, Extreme events, trends, and variability in Northern Hemisphere lake-ice phenology (1855-2005): Climatic Change, v. 112, no. 2, p. 299-323, https://doi.org/10.1007/s10584-011-0212-8.","productDescription":"25 p.","startPage":"299","endPage":"323","numberOfPages":"25","temporalStart":"1854-12-31","temporalEnd":"2005-12-31","ipdsId":"IP-024690","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":277859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277858,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0212-8"}],"otherGeospatial":"Northern Hemisphere","volume":"112","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-09-15","publicationStatus":"PW","scienceBaseUri":"523c1ce8e4b024b60d4072b9","contributors":{"authors":[{"text":"Benson, Barbara J.","contributorId":75058,"corporation":false,"usgs":true,"family":"Benson","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, John J.","contributorId":72699,"corporation":false,"usgs":true,"family":"Magnuson","given":"John J.","affiliations":[],"preferred":false,"id":484197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":484199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Card, Virginia M.","contributorId":56146,"corporation":false,"usgs":true,"family":"Card","given":"Virginia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodgkins, Glenn","contributorId":29481,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","affiliations":[],"preferred":false,"id":484193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Korhonen, Johanna","contributorId":34036,"corporation":false,"usgs":true,"family":"Korhonen","given":"Johanna","affiliations":[],"preferred":false,"id":484194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Livingstone, David M.","contributorId":36843,"corporation":false,"usgs":true,"family":"Livingstone","given":"David M.","affiliations":[],"preferred":false,"id":484195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, Kenton M.","contributorId":97810,"corporation":false,"usgs":true,"family":"Stewart","given":"Kenton","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484201,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weyhenmeyer, Gesa A.","contributorId":95381,"corporation":false,"usgs":true,"family":"Weyhenmeyer","given":"Gesa A.","affiliations":[],"preferred":false,"id":484200,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Granin, Nick G.","contributorId":21856,"corporation":false,"usgs":true,"family":"Granin","given":"Nick G.","affiliations":[],"preferred":false,"id":484192,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70118547,"text":"70118547 - 2012 - Well log characterization of natural gas-hydrates","interactions":[],"lastModifiedDate":"2014-07-29T11:13:16","indexId":"70118547","displayToPublicDate":"2012-01-01T11:09:22","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Well log characterization of natural gas-hydrates","docAbstract":"In the last 25 years there have been significant advancements in the use of well-logging tools to acquire detailed information on the occurrence of gas hydrates in nature: whereas wireline electrical resistivity and acoustic logs were formerly used to identify gas-hydrate occurrences in wells drilled in Arctic permafrost environments, more advanced wireline and logging-while-drilling (LWD) tools are now routinely used to examine the petrophysical nature of gas-hydrate reservoirs and the distribution and concentration of gas hydrates within various complex reservoir systems. Resistivity- and acoustic-logging tools are the most widely used for estimating the gas-hydrate content (i.e., reservoir saturations) in various sediment types and geologic settings. Recent integrated sediment coring and well-log studies have confirmed that electrical-resistivity and acoustic-velocity data can yield accurate gas-hydrate saturations in sediment grain-supported (isotropic) systems such as sand reservoirs, but more advanced log-analysis models are required to characterize gas hydrate in fractured (anisotropic) reservoir systems. New well-logging tools designed to make directionally oriented acoustic and propagation-resistivity log measurements provide the data needed to analyze the acoustic and electrical anisotropic properties of both highly interbedded and fracture-dominated gas-hydrate reservoirs. Advancements in nuclear magnetic resonance (NMR) logging and wireline formation testing (WFT) also allow for the characterization of gas hydrate at the pore scale. Integrated NMR and formation testing studies from northern Canada and Alaska have yielded valuable insight into how gas hydrates are physically distributed in sediments and the occurrence and nature of pore fluids(i.e., free water along with clay- and capillary-bound water) in gas-hydrate-bearing reservoirs. Information on the distribution of gas hydrate at the pore scale has provided invaluable insight on the mechanisms controlling the formation and occurrence of gas hydrate in nature along with data on gas-hydrate reservoir properties (i.e., porosities and permeabilities) needed to accurately predict gas production rates for various gas-hydrate production schemes.","conferenceTitle":"Society of Petrophysicists and Well-Log Analysts","conferenceDate":"2012-06-16T00:00:00","conferenceLocation":"Cartagena, Columbia","language":"English","publisher":"Society of Petrophysicists and Well-Log Analysts","publisherLocation":"Houston, TX","usgsCitation":"Collett, T.S., and Lee, M.W., 2012, Well log characterization of natural gas-hydrates, 20 p.","productDescription":"20 p.","numberOfPages":"20","costCenters":[],"links":[{"id":291279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f556e4b0bc0bec0a15b1","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199592,"text":"70199592 - 2012 - Geostatistical population-mixture approach to unconventional-resource assessment with an application to the Woodford Gas Shale, Arkoma Basin, eastern Oklahoma","interactions":[],"lastModifiedDate":"2018-09-24T10:54:25","indexId":"70199592","displayToPublicDate":"2012-01-01T10:54:18","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5755,"text":"SPE Reservoir Evaluation & Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Geostatistical population-mixture approach to unconventional-resource assessment with an application to the Woodford Gas Shale, Arkoma Basin, eastern Oklahoma","docAbstract":"<p><span>Evaluation of resources such as tight sands and gas shales requires the formulation of assessment models that are different from those used for the inference of conventional resources. Formulations in present use are based in classical statistics that ignore the partly organized and partly random geographical variation of attributes related to the occurrence of hydrocarbons. This paper is the third in a series of methodological tests aimed at enhancing the assessment of unconventional resources through more-effective use of implicit and explicit information contained in the data, more-accurate evaluation of resources, and more-informative display of results. Reprocessing of estimated-ultimate-recovery (EUR) data at the Woodford gas shale in Oklahoma shows that subdivision of the play into areas as homogeneous as possible can produce results comparable to those obtained using several variables correlated to local productivity.</span></p>","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.2118/163049-PA","usgsCitation":"Olea, R., Charpentier, R., Cook, T.A., Houseknecht, D.W., and Garrity, C.P., 2012, Geostatistical population-mixture approach to unconventional-resource assessment with an application to the Woodford Gas Shale, Arkoma Basin, eastern Oklahoma: SPE Reservoir Evaluation & Engineering, v. 15, no. 5, p. 554-562, https://doi.org/10.2118/163049-PA.","productDescription":"9 p.","startPage":"554","endPage":"562","ipdsId":"IP-038213","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Arkoma Basin","volume":"15","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-04","publicationStatus":"PW","scienceBaseUri":"5c10bf3de4b034bf6a7f0c7b","contributors":{"editors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":745916,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Charpentier, Ronald R.","contributorId":208099,"corporation":false,"usgs":false,"family":"Charpentier","given":"Ronald R.","affiliations":[{"id":37715,"text":"Ex-USGS, now retired","active":true,"usgs":false}],"preferred":false,"id":745917,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charpentier, Ronald charpentier@usgs.gov","contributorId":150415,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":746098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":746101,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038199,"text":"70038199 - 2012 - Root zone water quality model (RZWQM2): Model use, calibration and validation","interactions":[],"lastModifiedDate":"2021-01-05T18:56:01.036463","indexId":"70038199","displayToPublicDate":"2012-01-01T10:16:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Root zone water quality model (RZWQM2): Model use, calibration and validation","docAbstract":"The Root Zone Water Quality Model (RZWQM2) has been used widely for simulating agricultural management effects on crop production and soil and water quality. Although it is a one-dimensional model, it has many desirable features for the modeling community. This article outlines the principles of calibrating the model component by component with one or more datasets and validating the model with independent datasets. Users should consult the RZWQM2 user manual distributed along with the model and a more detailed protocol on how to calibrate RZWQM2 provided in a book chapter. Two case studies (or examples) are included in this article. One is from an irrigated maize study in Colorado to illustrate the use of field and laboratory measured soil hydraulic properties on simulated soil water and crop production. It also demonstrates the interaction between soil and plant parameters in simulated plant responses to water stresses. The other is from a maize-soybean rotation study in Iowa to show a manual calibration of the model for crop yield, soil water, and N leaching in tile-drained soils. Although the commonly used trial-and-error calibration method works well for experienced users, as shown in the second example, an automated calibration procedure is more objective, as shown in the first example. Furthermore, the incorporation of the Parameter Estimation Software (PEST) into RZWQM2 made the calibration of the model more efficient than a grid (ordered) search of model parameters. In addition, PEST provides sensitivity and uncertainty analyses that should help users in selecting the right parameters to calibrate.","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/2013.42252","usgsCitation":"Ma, L., Ahuja, L., Nolan, B.T., Malone, R., Trout, T., and Qi, Z., 2012, Root zone water quality model (RZWQM2): Model use, calibration and validation: Transactions of the ASABE, v. 55, no. 4, p. 1425-1446, https://doi.org/10.13031/2013.42252.","productDescription":"22 p.","startPage":"1425","endPage":"1446","ipdsId":"IP-037029","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":381890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200c969e4b009d47a4c23de","contributors":{"authors":[{"text":"Ma, Liwang","contributorId":6751,"corporation":false,"usgs":false,"family":"Ma","given":"Liwang","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":463644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahuja, Lajpat","contributorId":100275,"corporation":false,"usgs":true,"family":"Ahuja","given":"Lajpat","email":"","affiliations":[],"preferred":false,"id":463649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, B. T.","contributorId":21565,"corporation":false,"usgs":true,"family":"Nolan","given":"B.","email":"","middleInitial":"T.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":463645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malone, Robert","contributorId":28888,"corporation":false,"usgs":true,"family":"Malone","given":"Robert","affiliations":[],"preferred":false,"id":463646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trout, Thomas","contributorId":95785,"corporation":false,"usgs":true,"family":"Trout","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":463647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qi, Z.","contributorId":99870,"corporation":false,"usgs":true,"family":"Qi","given":"Z.","email":"","affiliations":[],"preferred":false,"id":463648,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046096,"text":"70046096 - 2012 - The science, information, and engineering needed to manage water availability and quality in 2050","interactions":[],"lastModifiedDate":"2022-12-27T17:14:35.840593","indexId":"70046096","displayToPublicDate":"2012-01-01T09:54:29","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"The science, information, and engineering needed to manage water availability and quality in 2050","docAbstract":"This chapter explores four water resources issues: 1) hydrologic variability, hazards, water supply and ecosystem preservation; 2) urban landscape design; 3) non-point source water quality, and 4) climate change, resiliency, and nonstationarity.  It also considers what science, technology, and engineering practice may be needed in the coming decades to sustain water supplies and ecosystems in the face of increasing stresses from a growing demand for water.  Dealing with these four water resource issues in the highly uncertain future would will demand predictive models that are rooted in real-world data.  In a non-stationary world, continuity of observations is crucial.  All watersheds are influenced by human actions through changes in land use, water use, and climate.  The focus of water planning and management between today and 2050 will depend more than ever on collection and analysis of long-term data to learn about the evolving state of the system, understanding ecosystem processes in the water and on the landscape, and finding innovative ways to manage water as a shared resource.  This includes sharing water with our neighbors on the landscape, sharing with the other species that depend on water, and sharing with future generations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Toward a sustainable water future: Visions for 2050","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412077.ch23","usgsCitation":"Hirsch, R.M., 2012, The science, information, and engineering needed to manage water availability and quality in 2050, chap. 23 <i>of</i> Toward a sustainable water future: Visions for 2050, p. 215-225, https://doi.org/10.1061/9780784412077.ch23.","productDescription":"11 p.","startPage":"215","endPage":"225","ipdsId":"IP-017761","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":276736,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2013-05-10","publicationStatus":"PW","scienceBaseUri":"52136e3ae4b0b08f4461993d","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037991,"text":"70037991 - 2012 - Near-surface, marine seismic-reflection data defines potential hydrogeologic confinement bypass in a tertiary carbonate aquifer, southeastern Florida","interactions":[],"lastModifiedDate":"2013-07-30T09:51:23","indexId":"70037991","displayToPublicDate":"2012-01-01T09:34:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Near-surface, marine seismic-reflection data defines potential hydrogeologic confinement bypass in a tertiary carbonate aquifer, southeastern Florida","docAbstract":"Approximately 210 km of near-surface, high-frequency, marine seismic-reflection data were acquired on the southeastern part of the Florida Platform between 2007 and 2011. Many high-resolution, seismic-reflection profiles, interpretable to a depth of about 730 m, were collected on the shallow-marine shelf of southeastern Florida in water as shallow as 1 m. Landward of the present-day shelf-margin slope, these data image middle Eocene to Pleistocene strata and Paleocene to Pleistocene strata on the Miami Terrace. This high-resolution data set provides an opportunity to evaluate geologic structures that cut across confining units of the Paleocene to Oligocene-age carbonate rocks that form the Floridan aquifer system.Seismic profiles image two structural systems, tectonic faults and karst collapse structures, which breach confining beds in the Floridan aquifer system. Both structural systems may serve as pathways for vertical groundwater flow across relatively low-permeability carbonate strata that separate zones of regionally extensive high-permeability rocks in the Floridan aquifer system. The tectonic faults occur as normal and reverse faults, and collapse-related faults have normal throw. The most common fault occurrence delineated on the reflection profiles is associated with karst collapse structures. These high-frequency seismic data are providing high quality structural analogs to unprecedented depths on the southeastern Florida Platform. The analogs can be used for assessment of confinement of other carbonate aquifers and the sealing potential of deeper carbonate rocks associated with reservoirs around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/segam2012-0638.1","usgsCitation":"Cunningham, K.J., Walker, C., and Westcott, R., 2012, Near-surface, marine seismic-reflection data defines potential hydrogeologic confinement bypass in a tertiary carbonate aquifer, southeastern Florida: SEG Technical Program Expanded Abstracts, v. 2012, p. 1-6, https://doi.org/10.1190/segam2012-0638.1.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-037097","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":275557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/segam2012-0638.1"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.2109,25.1254 ], [ -81.2109,28.5942 ], [ -79.9365,28.5942 ], [ -79.9365,25.1254 ], [ -81.2109,25.1254 ] ] ] } } ] }","volume":"2012","noUsgsAuthors":false,"publicationDate":"2012-10-25","publicationStatus":"PW","scienceBaseUri":"51f8e063e4b0cecbe8fa9885","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":463222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Cameron","contributorId":81777,"corporation":false,"usgs":true,"family":"Walker","given":"Cameron","affiliations":[],"preferred":false,"id":463224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westcott, Richard L.","contributorId":71465,"corporation":false,"usgs":true,"family":"Westcott","given":"Richard L.","affiliations":[],"preferred":false,"id":463223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048460,"text":"sir20125107 - 2012 - Sources and sinks of nitrogen and phosphorus to a deep, oligotrophic lake, Lake Crescent, Olympic National Park, Washington","interactions":[],"lastModifiedDate":"2025-02-10T14:45:57.485874","indexId":"sir20125107","displayToPublicDate":"2012-01-01T08:09:00","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":"2012-5107","displayTitle":"Sources and Sinks of Nitrogen and Phosphorus in a Deep,  Oligotrophic Lake, Lake Crescent, Olympic National Park,  Washington","title":"Sources and sinks of nitrogen and phosphorus to a deep, oligotrophic lake, Lake Crescent, Olympic National Park, Washington","docAbstract":"Lake Crescent, in Olympic National Park in the northwest corner of Washington State is a deep-water lake renowned for its pristine water quality and oligotrophic nature. To examine the major sources and sinks of nutrients (as total nitrogen, total phosphorus, and dissolved nitrate), a study was conducted in the Lake Crescent watershed. The study involved measuring five major inflow streams, the Lyre River as the major outflow, recording weather and climatic data, coring lake bed sediment, and analyzing nutrient chemistry in several relevant media over 14 months. Water samples for total nitrogen, total phosphorous, and dissolved nitrate from the five inflow streams, the outlet Lyre River, and two stations in the lake were collected monthly from May 2006 through May 2007. Periodic samples of shallow water from temporary sampling wells were collected at numerous locations around the lake. Concentrations of nutrients detected in Lake Crescent and tributaries were then applied to the water budget estimates to arrive at monthly and annual loads from various environmental components within the watershed. Other sources, such as leaf litter, pollen, or automobile exhaust were estimated from annual values obtained from various literature sources. This information then was used to construct a nutrient budget for total nitrogen and total phosphorus. The nitrogen budget generally highlights vehicle traffic-diesel trucks in particular-along U.S. Highway 101 as a potential major anthropogenic source of nitrogen compounds in the lake. In contrast, contribution of nitrogen compounds from onsite septic systems appears to be relatively minor related to the other sources identified.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125107","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Moran, P., Cox, S., Embrey, S., Huffman, R., Olsen, T.D., and Fradkin, S., 2012, Sources and sinks of nitrogen and phosphorus to a deep, oligotrophic lake, Lake Crescent, Olympic National Park, Washington: U.S. Geological Survey Scientific Investigations Report 2012-5107, Report: viii, 56 p.; 6 Appendices, https://doi.org/10.3133/sir20125107.","productDescription":"Report: viii, 56 p.; 6 Appendices","numberOfPages":"64","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":278167,"rank":9,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5107/","text":"USGS Index Page","linkFileType":{"id":5,"text":"html"},"description":"SIR 2012-5107"},{"id":278176,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107_appendixF.pdf","text":"Appendix F","size":"443 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107 Appendix F"},{"id":278175,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107_appendixE.pdf","text":"Appendix E","size":"123 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107 Appendix E"},{"id":278173,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107_appendixD.pdf","text":"Appendix D","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107 Appendix D"},{"id":278177,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125107.jpg"},{"id":278171,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107_appendixC.pdf","text":"Appendix C","size":"294 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107 Appendix C"},{"id":278170,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107_appendixB.pdf","text":"Appendix B","size":"64 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107 Appendix B"},{"id":278169,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107_appendixA.pdf","text":"Appendix A","size":"75 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107 Appendix A"},{"id":278168,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5107/pdf/sir2012-5107.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2012-5107"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Crescent, Olympic National Park, Olympic Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7348,47.4695 ], [ -124.7348,48.2747 ], [ -123.1217,48.2747 ], [ -123.1217,47.4695 ], [ -124.7348,47.4695 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"http://wa.water.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://wa.water.usgs.gov\">Washington Water Science Center</a><br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, WA 98402</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of Lake Crescent and the Watershed</li><li>Methods of Investigation</li><li>Sources and Sinks of Nitrogen And Phosphorous</li><li>Summary</li><li>Recommendations</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix A. Results of Chemical Analyses on Field Blank-Water, Field-Replicate, and Aqueous Standard-Reference Quality-Control Samples</li><li>Appendix B. Daily Mean Streamflows for Fairholm Creek, Lapoel Creek, Smith Creek, Barnes Creek, Piedmont Creek, and Lyre River, Washington, Water Years 2006–07</li><li>Appendix C. Results of Chemical Analyses on Water Samples from Lake Crescent and Streams</li><li>Appendix D. Results of Chemical Analyses on Bottom-Sediment Core Samples Collected from Lake Crescent, Washington, September 2008</li><li>Appendix E. Results of Chemical Analyses and Field Measurements on Water Samples from Piezometers, October 2007</li><li>Appendix F. Estimated and Observed Daily Total Nitrogen and Total Phosphorus Loads and Loadest Model Parameters</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5246e91ce4b035b7f35addeb","contributors":{"authors":[{"text":"Moran, P.W.","contributorId":9401,"corporation":false,"usgs":true,"family":"Moran","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":484707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, S.E.","contributorId":66663,"corporation":false,"usgs":true,"family":"Cox","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":484710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Embrey, S.S.","contributorId":8448,"corporation":false,"usgs":true,"family":"Embrey","given":"S.S.","affiliations":[],"preferred":false,"id":484706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huffman, R.L.","contributorId":44956,"corporation":false,"usgs":true,"family":"Huffman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":484709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, T. D.","contributorId":41463,"corporation":false,"usgs":true,"family":"Olsen","given":"T.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fradkin, S.C.","contributorId":69880,"corporation":false,"usgs":true,"family":"Fradkin","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":484711,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193579,"text":"70193579 - 2012 - The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event","interactions":[],"lastModifiedDate":"2017-11-02T10:54:49","indexId":"70193579","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event","docAbstract":"<p><span>Merapi volcano (Indonesia) is one of the most active and hazardous volcanoes in the world. It is known for frequent small to moderate eruptions, pyroclastic flows produced by lava dome collapse, and the large population settled on and around the flanks of the volcano that is at risk. Its usual behavior for the last decades abruptly changed in late October and early November 2010, when the volcano produced its largest and most explosive eruptions in more than a century, displacing at least a third of a million people, and claiming nearly 400 lives. Despite the challenges involved in forecasting this ‘hundred year eruption’, we show that the magnitude of precursory signals (seismicity, ground deformation, gas emissions) was proportional to the large size and intensity of the eruption. In addition and for the first time, near-real-time satellite radar imagery played an equal role with seismic, geodetic, and gas observations in monitoring eruptive activity during a major volcanic crisis. The Indonesian Center of Volcanology and Geological Hazard Mitigation (CVGHM) issued timely forecasts of the magnitude of the eruption phases, saving 10,000–20,000 lives. In addition to reporting on aspects of the crisis management, we report the first synthesis of scientific observations of the eruption. Our monitoring and petrologic data show that the 2010 eruption was fed by rapid ascent of magma from depths ranging from 5 to 30</span><span>&nbsp;</span><span>km. Magma reached the surface with variable gas content resulting in alternating explosive and rapid effusive eruptions, and released a total of ~</span><span>&nbsp;</span><span>0.44</span><span>&nbsp;</span><span>Tg of SO</span><sub>2</sub><span>. The eruptive behavior seems also related to the seismicity along a tectonic fault more than 40</span><span>&nbsp;</span><span>km from the volcano, highlighting both the complex stress pattern of the Merapi region of Java and the role of magmatic pressurization in activating regional faults. We suggest a dynamic triggering of the main explosions on 3 and 4 November by the passing seismic waves generated by regional earthquakes on these days.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.06.018","usgsCitation":", S., Jousset, P., Pallister, J.S., Boichu, M., Buongiorno, M.F., Budisantoso, A., Costa, F., Andreastuti, S., Prata, F., Schneider, D.J., Clarisse, L., Humaida, H., Sumarti, S., Bignami, C., Griswold, J.P., Carn, S.A., Oppenheimer, C., and Lavigne, F., 2012, The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event: Journal of Volcanology and Geothermal Research, v. 241-242, p. 121-135, https://doi.org/10.1016/j.jvolgeores.2012.06.018.","productDescription":"15 p.","startPage":"121","endPage":"135","ipdsId":"IP-037583","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488719,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_246296","text":"External Repository"},{"id":348072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Merapi volcano","volume":"241-242","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eb1e4b0531197b28026","contributors":{"authors":[{"text":" Surono","contributorId":149582,"corporation":false,"usgs":false,"given":"Surono","email":"","affiliations":[],"preferred":false,"id":719436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jousset, Philippe","contributorId":194796,"corporation":false,"usgs":false,"family":"Jousset","given":"Philippe","email":"","affiliations":[],"preferred":false,"id":719437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boichu, Marie","contributorId":199559,"corporation":false,"usgs":false,"family":"Boichu","given":"Marie","email":"","affiliations":[],"preferred":false,"id":719439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buongiorno, M. Fabrizia","contributorId":102698,"corporation":false,"usgs":true,"family":"Buongiorno","given":"M.","email":"","middleInitial":"Fabrizia","affiliations":[],"preferred":false,"id":719440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budisantoso, Agus","contributorId":199556,"corporation":false,"usgs":false,"family":"Budisantoso","given":"Agus","email":"","affiliations":[],"preferred":false,"id":719441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":719442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andreastuti, Supriyati","contributorId":82087,"corporation":false,"usgs":true,"family":"Andreastuti","given":"Supriyati","email":"","affiliations":[],"preferred":false,"id":719443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prata, Fred","contributorId":148068,"corporation":false,"usgs":false,"family":"Prata","given":"Fred","email":"","affiliations":[{"id":16991,"text":"Norwegian Institute for Air Research","active":true,"usgs":false}],"preferred":false,"id":719444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":719445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clarisse, Lieven","contributorId":199561,"corporation":false,"usgs":false,"family":"Clarisse","given":"Lieven","email":"","affiliations":[],"preferred":false,"id":719446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Humaida, Hanik","contributorId":199562,"corporation":false,"usgs":false,"family":"Humaida","given":"Hanik","email":"","affiliations":[],"preferred":false,"id":719447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sumarti, Sri","contributorId":149584,"corporation":false,"usgs":false,"family":"Sumarti","given":"Sri","email":"","affiliations":[],"preferred":false,"id":719448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bignami, Christian","contributorId":199563,"corporation":false,"usgs":false,"family":"Bignami","given":"Christian","email":"","affiliations":[],"preferred":false,"id":719449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Griswold, Julia P. griswold@usgs.gov","contributorId":4148,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":719450,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carn, Simon A.","contributorId":28092,"corporation":false,"usgs":true,"family":"Carn","given":"Simon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719451,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Oppenheimer, Clive","contributorId":174445,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Clive","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":719452,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lavigne, Franck","contributorId":66030,"corporation":false,"usgs":true,"family":"Lavigne","given":"Franck","email":"","affiliations":[],"preferred":false,"id":719453,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70192540,"text":"70192540 - 2012 - Morphometric-based sexual determination of Bananaquits (Coereba flaveola)","interactions":[],"lastModifiedDate":"2017-11-28T12:47:13","indexId":"70192540","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2967,"text":"Ornitologia Neotropical","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphometric-based sexual determination of Bananaquits (<i>Coereba flaveola</i>)","title":"Morphometric-based sexual determination of Bananaquits (Coereba flaveola)","docAbstract":"<p>The Bananaquit (Coereba flaveola) is a common passerine throughout the tropics and has been a convenient species for ecological studies. This species has sexually monomorphic plumage and cannot be reliably sexed unless in breeding condition. This is problematic for demographic and comparative studies, which are contingent upon accurately aging and sexing individuals. Although male Bananaquits are larger than females, there is overlap in both wing chord and mass. We used morphometric data collected over eight years to develop a predictive model based on logistic regression to assign adult Bananaquits to sex. Our model classified 96% of validation individuals to the correct sex. We suggest that this approach may enhance ecological studies of the species by facilitating correct sex determination independent of breeding status. We believe our modeling approach is applicable elsewhere but, because there may be geographical variation across the species distribution, models will need to be customized to local populations.</p>","language":"English","publisher":"The Neotropical Ornithological Society","usgsCitation":"Bibles, B.D., and Boal, C.W., 2012, Morphometric-based sexual determination of Bananaquits (Coereba flaveola): Ornitologia Neotropical, v. 23, p. 507-515.","productDescription":"9 p.","startPage":"507","endPage":"515","ipdsId":"IP-030771","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349455,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sora.unm.edu/node/133335"}],"country":"British Virgin Islands","otherGeospatial":"Guana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.58527565002441,\n              18.46235033603078\n            ],\n            [\n              -64.55703735351562,\n              18.46235033603078\n            ],\n            [\n              -64.55703735351562,\n              18.49112747057403\n            ],\n            [\n              -64.58527565002441,\n              18.49112747057403\n            ],\n            [\n              -64.58527565002441,\n              18.46235033603078\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6105a0e4b06e28e9c25583","contributors":{"authors":[{"text":"Bibles, Brent D.","contributorId":77720,"corporation":false,"usgs":true,"family":"Bibles","given":"Brent","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":723845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035521,"text":"70035521 - 2012 - Using multitemporal remote sensing imagery and inundation measures to improve land change estimates in coastal wetlands","interactions":[],"lastModifiedDate":"2020-11-17T12:57:50.879427","indexId":"70035521","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Using multitemporal remote sensing imagery and inundation measures to improve land change estimates in coastal wetlands","docAbstract":"<p><span>Remote sensing imagery can be an invaluable resource to quantify land change in coastal wetlands. Obtaining an accurate measure of land change can, however, be complicated by differences in fluvial and tidal inundation experienced when the imagery is captured. This study classified Landsat imagery from two wetland areas in coastal Louisiana from 1983 to 2010 into categories of land and water. Tide height, river level, and date were used as independent variables in a multiple regression model to predict land area in the Wax Lake Delta (WLD) and compare those estimates with an adjacent marsh area lacking direct fluvial inputs. Coefficients of determination from regressions using both measures of water level along with date as predictor variables of land extent in the WLD, were higher than those obtained using the current methodology which only uses date to predict land change. Land change trend estimates were also improved when the data were divided by time period. Water level corrected land gain in the WLD from 1983 to 2010 was 1&nbsp;km</span><sup>2</sup><span>&nbsp;year</span><sup>−1</sup><span>, while rates in the adjacent marsh remained roughly constant. This approach of isolating environmental variability due to changing water levels improves estimates of actual land change in a dynamic system, so that other processes that may control delta development such as hurricanes, floods, and sediment delivery, may be further investigated.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-011-9437-z","issn":"15592723","usgsCitation":"Allen, Y., Couvillion, B., and Barras, J., 2012, Using multitemporal remote sensing imagery and inundation measures to improve land change estimates in coastal wetlands: Estuaries and Coasts, v. 35, no. 1, p. 190-200, https://doi.org/10.1007/s12237-011-9437-z.","productDescription":"11 p.","startPage":"190","endPage":"200","costCenters":[],"links":[{"id":243907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Lousianna","otherGeospatial":"Atchafalaya Deltas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.6314697265625,\n              29.703560887190708\n            ],\n            [\n              -91.65481567382812,\n              29.543593066460595\n            ],\n            [\n              -91.51199340820312,\n              29.30077105450428\n            ],\n            [\n              -91.30462646484375,\n              29.31154884819602\n            ],\n            [\n              -91.14257812499999,\n              29.433617570990965\n            ],\n            [\n              -91.6314697265625,\n              29.703560887190708\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bc019e4b08c986b329f1d","contributors":{"authors":[{"text":"Allen, Y.C.","contributorId":63761,"corporation":false,"usgs":true,"family":"Allen","given":"Y.C.","email":"","affiliations":[],"preferred":false,"id":451066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, B.R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":26540,"corporation":false,"usgs":true,"family":"Couvillion","given":"B.R.","affiliations":[],"preferred":false,"id":451064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, J.A.","contributorId":44260,"corporation":false,"usgs":true,"family":"Barras","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":451065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042453,"text":"70042453 - 2012 - Shorebird surveys in western Alaska","interactions":[],"lastModifiedDate":"2022-12-21T16:48:44.16649","indexId":"70042453","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Shorebird surveys in western Alaska","docAbstract":"<p>Surveys for breeding shorebirds were conducted during 2001-2002 in four National Wildlife Refuges (NWRs) in western Alaska - Alaska Maritime, Alaska Peninsula, Yukon Delta and Selawik. The sizes of our study areas on and adjacent to these four refuges were 9,243 km<sup>2</sup>, 24,493 km<sup>2</sup>, 853 km<sup>2</sup>, and 15,170 km<sup>2</sup>, respectively. Eleven sites were selected non-randomly, 3 in the Alaska Maritime NWR, 6 in the Alaska Peninsula, and one each in the other two NWRs. Survey and analytic methods are described in Chapter 2. Rapid surveys were conducted on 224 plots; 2,163 indicated pairs of shorebirds were recorded of which 1,485 were judged to be nesting in the surveyed plots. Detection ratios were estimated using intensive plot data from northern Alaska as well as from two plots on the Yukon Delta NWR. The highest estimated densities (shorebirds/km<sup>2</sup>) were on the Yukon Delta Study Area: 416 in wetlands and 300 in moist areas. The estimated densities on the Alaska Peninsula Study Area were 118 in wetlands and 62 in uplands. Other densities were markedly lower. Estimated numbers of shorebirds were 62,000 (CV = 0.58), 1,804,000 (CV = 0.32), 310,000 (CV = 0.11), and 390,000 (CV = 0.35), in the Alaska Maritime, Alaska Peninsula, Yukon Delta, and Selawik study areas, respectively. The former two estimates were affected by selection bias of unknown magnitude and so should be regarded with caution. A small estimate was generated for the Yukon Delta Study Area because it covered only about 1% of the Yukon Delta NWR. We identify several species-specific estimates from our study which appear inconsistent with previous continental estimates. This pilot study provides preliminary estimates of species composition and density in the surveyed areas. By incorporating several region-specific modifications to the sampling protocols for future surveys, we believe that the Arctic PRISM method is suitable for covering large areas in western Alaska.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arctic shorebirds in North America: A decade of monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","usgsCitation":"McCaffery, B.J., Bart, J., Wightman, C., and Krueper, D.J., 2012, Shorebird surveys in western Alaska, chap. 3 <i>of</i> Arctic shorebirds in North America: A decade of monitoring, v. 44, p. 17-36.","productDescription":"10 p.","startPage":"17","endPage":"36","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026453","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297331,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520273108"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -159.83606127608508,\n              67.83094206266881\n            ],\n            [\n              -168.60315969175733,\n              67.31587290572091\n            ],\n            [\n              -168.04564134058197,\n              59.94938901312631\n            ],\n            [\n              -160.65923179948007,\n              57.14283500068541\n            ],\n            [\n              -176.3059056833646,\n              53.361921209719895\n            ],\n            [\n              -178.00466802783237,\n              50.46694403512976\n            ],\n            [\n              -152.1254855949343,\n              57.554123066073885\n            ],\n            [\n              -159.83606127608508,\n              67.83094206266881\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72a0e4b0b290851086e9","contributors":{"authors":[{"text":"McCaffery, Brian J.","contributorId":37617,"corporation":false,"usgs":true,"family":"McCaffery","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":471576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wightman, Catherine","contributorId":66568,"corporation":false,"usgs":true,"family":"Wightman","given":"Catherine","affiliations":[],"preferred":false,"id":471577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueper, David J.","contributorId":103752,"corporation":false,"usgs":true,"family":"Krueper","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035654,"text":"70035654 - 2012 - Recent paleorecords document rising mercury contamination in Lake Tanganyika","interactions":[],"lastModifiedDate":"2020-11-16T21:20:59.329352","indexId":"70035654","displayToPublicDate":"2012-01-01T00:00:00","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":"Recent paleorecords document rising mercury contamination in Lake Tanganyika","docAbstract":"<p><span>Recent Lake Tanganyika Hg deposition records were derived using&nbsp;</span><sup>14</sup><span>C and excess&nbsp;</span><sup>210</sup><span>Pb geochronometers in sediment cores collected from two contrasting depositional environments: the Kalya Platform, located mid-lake and more removed from watershed impacts, and the Nyasanga/Kahama River delta region, located close to the lake’s shoreline north of Kigoma. At the Kalya Platform area, pre-industrial Hg concentrations are 23</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.2</span><span>&nbsp;</span><span>ng/g, increasing to 74</span><span>&nbsp;</span><span>ng/g in modern surface sediment, and the Hg accumulation rate has increased from 1.0 to 7.2</span><span>&nbsp;</span><span>μg/m</span><sup>2</sup><span>/a from pre-industrial to present, which overall represents a 6-fold increase in Hg concentration and accumulation. At the Nyasanga/Kahama delta region, pre-industrial Hg concentrations are 20</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>3</span><span>&nbsp;</span><span>ng/g, increasing to 46</span><span>&nbsp;</span><span>ng/g in surface sediment. Mercury accumulation rate has increased from 30 to 70</span><span>&nbsp;</span><span>μg/m</span><sup>2</sup><span>/a at this site, representing a 2–3-fold increase in Hg concentration and accumulation. There is a lack of correlation between charcoal abundance and Hg accumulation rate in the sediment cores, demonstrating that local biomass burning has little relationship with the observed Hg concentration or Hg accumulation rates. Examined using a sediment focusing-corrected mass accumulation rate approach, the cores have similar anthropogenic atmospheric Hg deposition profiles, suggesting that after accounting for background sediment concentrations the source of accumulating Hg is predominantly atmospheric in origin. In summary, the data document an increase of Hg flux to the Lake Tanganyika ecosystem that is consistent with increasing watershed sediment delivery with background-level Hg contamination, and regional as well as global increases in atmospheric Hg deposition.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.11.005","issn":"08832927","usgsCitation":"Conaway, C.H., Swarzenski, P.W., and Cohen, A., 2012, Recent paleorecords document rising mercury contamination in Lake Tanganyika: Applied Geochemistry, v. 27, no. 1, p. 352-359, https://doi.org/10.1016/j.apgeochem.2011.11.005.","productDescription":"8 p.","startPage":"352","endPage":"359","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244359,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216486,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.11.005"}],"country":"United States","county":"Tanzania, the Democratic Republic of the Congo , Burundi, and Zambia","otherGeospatial":"Lake Tanganyika","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              28.872070312500004,\n              -3.2063329870791315\n            ],\n            [\n              28.872070312500004,\n              -5.98760689165826\n            ],\n            [\n              30.344238281249996,\n              -8.646195681181904\n            ],\n            [\n              31.09130859375,\n              -9.123792057073972\n            ],\n            [\n              31.61865234375,\n              -8.885071663468981\n            ],\n            [\n              29.487304687499996,\n              -3.118576216781991\n            ],\n            [\n              28.872070312500004,\n              -3.2063329870791315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9630e4b0c8380cd81e5b","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":5074,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconaway@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":451690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":451689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, A.S.","contributorId":19313,"corporation":false,"usgs":true,"family":"Cohen","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":451688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035398,"text":"70035398 - 2012 - An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins","interactions":[],"lastModifiedDate":"2023-09-25T11:06:08.54295","indexId":"70035398","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins","docAbstract":"Various sediment properties previously have been investigated for the purpose of determining sources of suspended sediment. A remaining research need is an assessment of element ratios for the determination of suspended-sediment sources in different terrestrial environments. In this study, 253 element ratios were assessed to determine which, if any, were potentially useful for sediment-source determinations in six small agricultural basins in northeastern Kansas, USA. Samples of surface soils (cropland and grassland), channel banks, and reservoir bottom sediments were collected, analyzed for 23 elements, and compared. Of the 253 element ratios assessed, only the Co/Pb and Co/Zn ratios were substantially and consistently different between the channel banks and surface soils for all six basins. For three of four reservoirs for which data were available, sediment-source estimates provided by Co/Pb ratios were in agreement with estimates previously provided using  137Cs. For two of the four reservoirs, sediment-source estimates provided by Co/Zn ratios were consistent with the  137Cs estimates. Thus, the Co/Pb ratio potentially may be more useful. Additional research is needed to ascertain whether or not the use of Co/Pb and Co/Zn ratios as tracers is widely applicable or restricted to specific terrestrial environments.","language":"English","publisher":"Taylor and Francis","doi":"10.2747/0272-3646.33.1.50","issn":"02723646","usgsCitation":"Juracek, K., 2012, An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins: Physical Geography, v. 33, no. 1, p. 50-67, https://doi.org/10.2747/0272-3646.33.1.50.","productDescription":"18 p.","startPage":"50","endPage":"67","numberOfPages":"18","costCenters":[],"links":[{"id":215286,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/0272-3646.33.1.50"},{"id":243078,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5059ea8fe4b0c8380cd48942","contributors":{"authors":[{"text":"Juracek, K.","contributorId":19795,"corporation":false,"usgs":true,"family":"Juracek","given":"K.","affiliations":[],"preferred":false,"id":450462,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032318,"text":"70032318 - 2012 - Experimental determination of soil heat storage for the simulation of heat transport in a coastal wetland","interactions":[],"lastModifiedDate":"2020-12-03T13:01:40.584017","indexId":"70032318","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental determination of soil heat storage for the simulation of heat transport in a coastal wetland","docAbstract":"<p id=\"sp010\">Two physical experiments were developed to better define the thermal interaction of wetland water and the underlying soil layer. This information is important to numerical models of flow and heat transport that have been developed to support biological studies in the South Florida coastal wetland areas. The experimental apparatus consists of two 1.32&nbsp;m diameter by 0.99&nbsp;m tall, trailer-mounted, well-insulated tanks filled with soil and water. A peat–sand–soil mixture was used to represent the wetland soil, and artificial plants were used as a surrogate for emergent wetland vegetation based on size and density observed in the field. The tanks are instrumented with thermocouples to measure vertical and horizontal temperature variations and were placed in an outdoor environment subject to solar radiation, wind, and other factors affecting the heat transfer. Instruments also measure solar radiation, relative humidity, and wind speed.</p><p id=\"sp015\">Tests indicate that heat transfer through the sides and bottoms of the tanks is negligible, so the experiments represent vertical heat transfer effects only. The temperature fluctuations measured in the vertical profile through the soil and water are used to calibrate a one-dimensional heat-transport model. The model was used to calculate the thermal conductivity of the soil. Additionally, the model was used to calculate the total heat stored in the soil. This information was then used in a lumped parameter model to calculate an effective depth of soil which provides the appropriate heat storage to be combined with the heat storage in the water column. An effective depth, in the model, of 5.1&nbsp;cm of wetland soil represents the heat storage needed to match the data taken in the tank containing 55.9&nbsp;cm of peat/sand/soil mix. The artificial low-density laboratory sawgrass reduced the solar energy absorbed by the 35.6&nbsp;cm of water and 55.9&nbsp;cm of soil at midday by less than 5%. The maximum heat transfer into the underlying peat–sand–soil mix lags behind maximum solar radiation by approximately 2&nbsp;h. A slightly longer temperature lag was observed between the maximum solar radiation and maximum water temperature both with and without soil.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.12.036","issn":"00221694","usgsCitation":"Swain, M., Swain, M., Lohmann, M., and Swain, E., 2012, Experimental determination of soil heat storage for the simulation of heat transport in a coastal wetland: Journal of Hydrology, v. 422-423, p. 53-62, https://doi.org/10.1016/j.jhydrol.2011.12.036.","productDescription":"10 p.","startPage":"53","endPage":"62","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":242515,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"422-423","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0dc5e4b0c8380cd531b0","contributors":{"authors":[{"text":"Swain, Michael","contributorId":79716,"corporation":false,"usgs":true,"family":"Swain","given":"Michael","email":"","affiliations":[],"preferred":false,"id":435586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain, Matthew","contributorId":68126,"corporation":false,"usgs":true,"family":"Swain","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":435585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lohmann, Melinda 0000-0003-1472-159X mlohmann@usgs.gov","orcid":"https://orcid.org/0000-0003-1472-159X","contributorId":2971,"corporation":false,"usgs":true,"family":"Lohmann","given":"Melinda","email":"mlohmann@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":435583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":435584,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032500,"text":"70032500 - 2012 - Why farmers adopt best management practice in the United States: A meta-analysis of the adoption literature","interactions":[],"lastModifiedDate":"2013-01-10T14:03:22","indexId":"70032500","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Why farmers adopt best management practice in the United States: A meta-analysis of the adoption literature","docAbstract":"This meta-analysis of both published and unpublished studies assesses factors believed to influence adoption of agricultural Best Management Practices in the United States. Using an established statistical technique to summarize the adoption literature in the United States, we identified the following variables as having the largest impact on adoption: access to and quality of information, financial capacity, and being connected to agency or local networks of farmers or watershed groups. This study shows that various approaches to data collection affect the results and comparability of adoption studies. In particular, environmental awareness and farmer attitudes have been inconsistently used and measured across the literature. This meta-analysis concludes with suggestions regarding the future direction of adoption studies, along with guidelines for how data should be presented to enhance the adoption of conservation practices and guide research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jenvman.2011.10.006","issn":"03014797","usgsCitation":"Baumgart-Getz, A., Stalker Prokopy, L., and Floress, K., 2012, Why farmers adopt best management practice in the United States: A meta-analysis of the adoption literature: Journal of Environmental Management, v. 96, no. 1, p. 17-25, https://doi.org/10.1016/j.jenvman.2011.10.006.","productDescription":"9 p.","startPage":"17","endPage":"25","numberOfPages":"9","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":214033,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2011.10.006"},{"id":241720,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"96","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0a2e4b08c986b32ef8e","contributors":{"authors":[{"text":"Baumgart-Getz, Adam","contributorId":44365,"corporation":false,"usgs":true,"family":"Baumgart-Getz","given":"Adam","email":"","affiliations":[],"preferred":false,"id":436493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stalker Prokopy, Linda","contributorId":73419,"corporation":false,"usgs":true,"family":"Stalker Prokopy","given":"Linda","email":"","affiliations":[],"preferred":false,"id":436494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Floress, Kristin","contributorId":106326,"corporation":false,"usgs":true,"family":"Floress","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":436495,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032565,"text":"70032565 - 2012 - Mapping carbon flux uncertainty and selecting optimal locations for future flux towers in the Great Plains","interactions":[],"lastModifiedDate":"2018-02-23T13:12:35","indexId":"70032565","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping carbon flux uncertainty and selecting optimal locations for future flux towers in the Great Plains","docAbstract":"Flux tower networks (e. g., AmeriFlux, Agriflux) provide continuous observations of ecosystem exchanges of carbon (e. g., net ecosystem exchange), water vapor (e. g., evapotranspiration), and energy between terrestrial ecosystems and the atmosphere. The long-term time series of flux tower data are essential for studying and understanding terrestrial carbon cycles, ecosystem services, and climate changes. Currently, there are 13 flux towers located within the Great Plains (GP). The towers are sparsely distributed and do not adequately represent the varieties of vegetation cover types, climate conditions, and geophysical and biophysical conditions in the GP. This study assessed how well the available flux towers represent the environmental conditions or \"ecological envelopes\" across the GP and identified optimal locations for future flux towers in the GP. Regression-based remote sensing and weather-driven net ecosystem production (NEP) models derived from different extrapolation ranges (10 and 50%) were used to identify areas where ecological conditions were poorly represented by the flux tower sites and years previously used for mapping grassland fluxes. The optimal lands suitable for future flux towers within the GP were mapped. Results from this study provide information to optimize the usefulness of future flux towers in the GP and serve as a proxy for the uncertainty of the NEP map.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10980-011-9699-7","issn":"09212973","usgsCitation":"Gu, Y., Howard, D., Wylie, B.K., and Zhang, L., 2012, Mapping carbon flux uncertainty and selecting optimal locations for future flux towers in the Great Plains: Landscape Ecology, v. 27, no. 3, p. 319-326, https://doi.org/10.1007/s10980-011-9699-7.","startPage":"319","endPage":"326","numberOfPages":"8","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-011-9699-7"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-12-28","publicationStatus":"PW","scienceBaseUri":"505a5053e4b0c8380cd6b5f1","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":436837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":139585,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":436836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":436838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":436839,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032573,"text":"70032573 - 2012 - Ecoregional analysis of nearshore sea-surface temperature in the North Pacific","interactions":[],"lastModifiedDate":"2016-05-03T16:03:45","indexId":"70032573","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Ecoregional analysis of nearshore sea-surface temperature in the North Pacific","docAbstract":"<div class=\"abstract toc-section\">\n<p>The quantification and description of sea surface temperature (SST) is critically important because it can influence the distribution, migration, and invasion of marine species; furthermore, SSTs are expected to be affected by climate change. To better understand present temperature regimes, we assembled a 29-year nearshore time series of mean monthly SSTs along the North Pacific coastline using remotely-sensed satellite data collected with the Advanced Very High Resolution Radiometer (AVHRR) instrument. We then used the dataset to describe nearshore (&lt;20 km offshore) SST patterns of 16 North Pacific ecoregions delineated by the Marine Ecoregions of the World (MEOW) hierarchical schema. Annual mean temperature varied from 3.8&deg;C along the Kamchatka ecoregion to 24.8&deg;C in the Cortezian ecoregion. There are smaller annual ranges and less variability in SST in the Northeast Pacific relative to the Northwest Pacific. Within the 16 ecoregions, 31&ndash;94% of the variance in SST is explained by the annual cycle, with the annual cycle explaining the least variation in the Northern California ecoregion and the most variation in the Yellow Sea ecoregion. Clustering on mean monthly SSTs of each ecoregion showed a clear break between the ecoregions within the Warm and Cold Temperate provinces of the MEOW schema, though several of the ecoregions contained within the provinces did not show a significant difference in mean seasonal temperature patterns. Comparison of these temperature patterns shared some similarities and differences with previous biogeographic classifications and the Large Marine Ecosystems (LMEs). Finally, we provide a web link to the processed data for use by other researchers.</p>\n<p>&nbsp;</p>\n</div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0030105","issn":"19326203","usgsCitation":"Payne, M., Brown, C., Reusser, D., and Lee, H., 2012, Ecoregional analysis of nearshore sea-surface temperature in the North Pacific: PLoS ONE, v. 7, no. 1, e30105, 12 p., https://doi.org/10.1371/journal.pone.0030105.","productDescription":"e30105, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":474745,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0030105","text":"Publisher Index Page"},{"id":241726,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-11","publicationStatus":"PW","scienceBaseUri":"505a0594e4b0c8380cd50e61","contributors":{"authors":[{"text":"Payne, M.C.","contributorId":93271,"corporation":false,"usgs":true,"family":"Payne","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":436881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, C.A.","contributorId":71776,"corporation":false,"usgs":true,"family":"Brown","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":436880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reusser, D.A.","contributorId":61251,"corporation":false,"usgs":true,"family":"Reusser","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":436879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, H. II","contributorId":9077,"corporation":false,"usgs":true,"family":"Lee","given":"H.","suffix":"II","affiliations":[],"preferred":false,"id":436878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032316,"text":"70032316 - 2012 - Intelligent estimation of spatially distributed soil physical properties","interactions":[],"lastModifiedDate":"2020-12-02T21:51:46.727938","indexId":"70032316","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Intelligent estimation of spatially distributed soil physical properties","docAbstract":"<p><span>Spatial analysis of soil samples is often times not possible when measurements are limited in number or clustered. To obviate potential problems, we propose a new approach based on the self-organizing map (SOM) technique. This approach exploits underlying nonlinear relation of the steady-state geomorphic concave–convex nature of hillslopes (from hilltop to bottom of the valley) to spatially limited soil textural data. The topographic features are extracted from Shuttle Radar Topographic Mission elevation data; whereas soil textural (clay, silt, and sand) and hydraulic data were collected in 29 spatially random locations (50 to 75</span><span>&nbsp;</span><span>cm depth). In contrast to traditional principal component analysis, the SOM identifies relations among relief features, such as, slope, horizontal curvature and vertical curvature. Stochastic cross-validation indicates that the SOM is unbiased and provides a way to measure the magnitude of prediction uncertainty for all variables. The SOM cross-component plots of the soil texture reveals higher clay proportions at concave areas with convergent hydrological flux and lower proportions for convex areas with divergent flux. The sand ratio has an opposite pattern with higher values near the ridge and lower values near the valley. Silt has a trend similar to sand, although less pronounced. The relation between soil texture and concave–convex hillslope features reveals that subsurface weathering and transport is an important process that changed from loss-to-gain at the rectilinear hillslope point. These results illustrate that the SOM can be used to capture and predict nonlinear hillslope relations among relief, soil texture, and hydraulic conductivity data.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2011.11.002","issn":"00167061","usgsCitation":"Iwashita, F., Friedel, M.J., Ribeiro, G., and Fraser, S.J., 2012, Intelligent estimation of spatially distributed soil physical properties: Geoderma, v. 170, p. 1-10, https://doi.org/10.1016/j.geoderma.2011.11.002.","productDescription":"10 p.","startPage":"1","endPage":"10","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":242483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214733,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2011.11.002"}],"volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c98e4b0c8380cd62e87","contributors":{"authors":[{"text":"Iwashita, F.","contributorId":96912,"corporation":false,"usgs":true,"family":"Iwashita","given":"F.","affiliations":[],"preferred":false,"id":435582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":435581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribeiro, G.F.","contributorId":60032,"corporation":false,"usgs":true,"family":"Ribeiro","given":"G.F.","email":"","affiliations":[],"preferred":false,"id":435579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, Stephen J.","contributorId":87769,"corporation":false,"usgs":true,"family":"Fraser","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032540,"text":"70032540 - 2012 - A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data","interactions":[],"lastModifiedDate":"2020-11-30T21:58:43.196979","indexId":"70032540","displayToPublicDate":"2012-01-01T00:00:00","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 multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data","docAbstract":"<p><span>Lake Turkana is one of the largest desert lakes in the world and is characterized by high degrees of inter- and intra-annual fluctuations. The hydrology and water balance of this lake have not been well understood due to its remote location and unavailability of reliable ground truth datasets. Managing surface water resources is a great challenge in areas where in-situ data are either limited or unavailable. In this study, multi-source satellite-driven data such as satellite-based rainfall estimates, modelled runoff, evapotranspiration, and a digital elevation dataset were used to model Lake Turkana water levels from 1998 to 2009. Due to the unavailability of reliable lake level data, an approach is presented to calibrate and validate the water balance model of Lake Turkana using a composite lake level product of TOPEX/Poseidon, Jason-1, and ENVISAT satellite altimetry data. Model validation results showed that the satellite-driven water balance model can satisfactorily capture the patterns and seasonal variations of the Lake Turkana water level fluctuations with a Pearson's correlation coefficient of 0.90 and a Nash-Sutcliffe Coefficient of Efficiency (NSCE) of 0.80 during the validation period (2004–2009). Model error estimates were within 10% of the natural variability of the lake. Our analysis indicated that fluctuations in Lake Turkana water levels are mainly driven by lake inflows and over-the-lake evaporation. Over-the-lake rainfall contributes only up to 30% of lake evaporative demand. During the modelling time period, Lake Turkana showed seasonal variations of 1–2 m. The lake level fluctuated in the range up to 4 m between the years 1998–2009. This study demonstrated the usefulness of satellite altimetry data to calibrate and validate the satellite-driven hydrological model for Lake Turkana without using any in-situ data. Furthermore, for Lake Turkana, we identified and outlined opportunities and challenges of using a calibrated satellite-driven water balance model for (i) quantitative assessment of the impact of basin developmental activities on lake levels and for (ii) forecasting lake level changes and their impact on fisheries. From this study, we suggest that globally available satellite altimetry data provide a unique opportunity for calibration and validation of hydrologic models in ungauged basins.</span></p>","language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/hess-16-1-2012","issn":"10275606","usgsCitation":"Velpuri, N., Senay, G., and Asante, K., 2012, A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data: Hydrology and Earth System Sciences, v. 16, no. 1, p. 1-18, https://doi.org/10.5194/hess-16-1-2012.","productDescription":"18 p.","startPage":"1","endPage":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474744,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-16-1-2012","text":"Publisher Index Page"},{"id":241758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214070,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hess-16-1-2012"}],"country":"Kenya","otherGeospatial":"Lake Turkana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              35.79345703125,\n              2.4162756547063857\n            ],\n            [\n              36.8701171875,\n              2.4162756547063857\n            ],\n            [\n              36.8701171875,\n              4.718777551249855\n            ],\n            [\n              35.79345703125,\n              4.718777551249855\n            ],\n            [\n              35.79345703125,\n              2.4162756547063857\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-03","publicationStatus":"PW","scienceBaseUri":"5059e48be4b0c8380cd466ee","contributors":{"authors":[{"text":"Velpuri, N.M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":66495,"corporation":false,"usgs":true,"family":"Velpuri","given":"N.M.","affiliations":[],"preferred":false,"id":436730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":436729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asante, K.O. 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":17051,"corporation":false,"usgs":true,"family":"Asante","given":"K.O.","affiliations":[],"preferred":false,"id":436728,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032301,"text":"70032301 - 2012 - Trophic cascades linking wolves (Canis lupus), coyotes (Canis latrans), and small mammals","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70032301","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Trophic cascades linking wolves (Canis lupus), coyotes (Canis latrans), and small mammals","docAbstract":"When large carnivores are extirpated from ecosystems that evolved with apex predators, these systems can change at the herbivore and plant trophic levels. Such changes across trophic levels are called cascading effects and they are very important to conservation. Studies on the effects of reintroduced wolves in Yellowstone National Park have examined the interaction pathway of wolves (Canis lupus L., 1758) to ungulates to plants. This study examines the interaction effects of wolves to coyotes to rodents (reversing mesopredator release in the absence of wolves). Coyotes (Canis latrans Say, 1823) generally avoided areas near a wolf den. However, when in the proximity of a den, they used woody habitats (pine or sage) compared with herbaceous habitats (grass or forb or sedge)- when they were away from the wolf den. Our data suggested a significant increase in rodent numbers, particularly voles (genus Microtus Schrank, 1798), during the 3-year study on plots that were within 3 km of the wolf den, but we did not detect a significant change in rodent numbers over time for more distant plots. Predation by coyotes may have depressed numbers of small mammals in areas away from the wolf den. These factors indicate a top-down effect by wolves on coyotes and subsequently on the rodents of the area. Restoration of wolves could be a powerful tool for regulating predation at lower trophic levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/Z11-115","issn":"00084301","usgsCitation":"Miller, B., Harlow, H., Harlow, T., Biggins, D., and Ripple, W.J., 2012, Trophic cascades linking wolves (Canis lupus), coyotes (Canis latrans), and small mammals: Canadian Journal of Zoology, v. 90, no. 1, p. 70-78, https://doi.org/10.1139/Z11-115.","startPage":"70","endPage":"78","numberOfPages":"9","costCenters":[],"links":[{"id":215040,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/Z11-115"},{"id":242809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb882e4b08c986b3278ca","contributors":{"authors":[{"text":"Miller, B.J.","contributorId":17173,"corporation":false,"usgs":true,"family":"Miller","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":435505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harlow, H.J.","contributorId":20178,"corporation":false,"usgs":true,"family":"Harlow","given":"H.J.","email":"","affiliations":[],"preferred":false,"id":435506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harlow, T.S.","contributorId":15849,"corporation":false,"usgs":true,"family":"Harlow","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":435504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggins, D.","contributorId":53343,"corporation":false,"usgs":true,"family":"Biggins","given":"D.","affiliations":[],"preferred":false,"id":435508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ripple, W. J.","contributorId":36333,"corporation":false,"usgs":true,"family":"Ripple","given":"W.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435507,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032294,"text":"70032294 - 2012 - The effect of diagenesis and fluid migration on rare earth element distribution in pore fluids of the northern Cascadia accretionary margin","interactions":[],"lastModifiedDate":"2013-04-25T13:32:35","indexId":"70032294","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of diagenesis and fluid migration on rare earth element distribution in pore fluids of the northern Cascadia accretionary margin","docAbstract":"Analytical challenges in obtaining high quality measurements of rare earth elements (REEs) from small pore fluid volumes have limited the application of REEs as deep fluid geochemical tracers. Using a recently developed analytical technique, we analyzed REEs from pore fluids collected from Sites U1325 and U1329, drilled on the northern Cascadia margin during the Integrated Ocean Drilling Program (IODP) Expedition 311, to investigate the REE behavior during diagenesis and their utility as tracers of deep fluid migration. These sites were selected because they represent contrasting settings on an accretionary margin: a ponded basin at the toe of the margin, and the landward Tofino Basin near the shelf's edge. REE concentrations of pore fluid in the methanogenic zone at Sites U1325 and U1329 correlate positively with concentrations of dissolved organic carbon (DOC) and alkalinity. Fractionations across the REE series are driven by preferential complexation of the heavy REEs. Simultaneous enrichment of diagenetic indicators (DOC and alkalinity) and of REEs (in particular the heavy elements Ho to Lu), suggests that the heavy REEs are released during particulate organic carbon (POC) degradation and are subsequently chelated by DOC. REE concentrations are greater at Site U1325, a site where shorter residence times of POC in sulfate-bearing redox zones may enhance REE burial efficiency within sulfidic and methanogenic sediment zones where REE release ensues.  Cross-plots of La concentrations versus Cl, Li and Sr delineate a distinct field for the deep fluids (z > 75 mbsf) at Site U1329, and indicate the presence of a fluid not observed at the other sites drilled on the Cascadia margin. Changes in REE patterns, the presence of a positive Eu anomaly, and other available geochemical data for this site suggest a complex hydrology and possible interaction with the igneous Crescent Terrane, located east of the drilled transect.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.10.010","issn":"00092541","usgsCitation":"Kim, J., Torres, M.E., Haley, B.A., Kastner, M., Pohlman, J., Riedel, M., and Lee, Y., 2012, The effect of diagenesis and fluid migration on rare earth element distribution in pore fluids of the northern Cascadia accretionary margin: Chemical Geology, v. 291, p. 152-165, https://doi.org/10.1016/j.chemgeo.2011.10.010.","productDescription":"14 p.","startPage":"152","endPage":"165","numberOfPages":"14","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":214915,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.10.010"},{"id":242675,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","city":"Vancouver","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01611111111111111,0.001388888888888889 ], [ -0.01611111111111111,0.001388888888888889 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01611111111111111,0.0011111111111111111 ] ] ] } } ] }","volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bab1fe4b08c986b322c30","contributors":{"authors":[{"text":"Kim, Ji-Hoon","contributorId":105547,"corporation":false,"usgs":true,"family":"Kim","given":"Ji-Hoon","email":"","affiliations":[],"preferred":false,"id":435487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torres, Marta E.","contributorId":33546,"corporation":false,"usgs":true,"family":"Torres","given":"Marta","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haley, Brian A.","contributorId":43996,"corporation":false,"usgs":true,"family":"Haley","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kastner, Miriam","contributorId":24187,"corporation":false,"usgs":true,"family":"Kastner","given":"Miriam","email":"","affiliations":[],"preferred":false,"id":435482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":435486,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riedel, Michael","contributorId":7518,"corporation":false,"usgs":true,"family":"Riedel","given":"Michael","email":"","affiliations":[],"preferred":false,"id":435481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Young-Joo","contributorId":82548,"corporation":false,"usgs":true,"family":"Lee","given":"Young-Joo","email":"","affiliations":[],"preferred":false,"id":435485,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032574,"text":"70032574 - 2012 - Regional scale impacts of <i>Tamarix</i> leaf beetles (<i>Diorhabda carinulata</i>) on the water availability of western U.S. rivers as determined by multi-scale remote sensing methods","interactions":[],"lastModifiedDate":"2017-11-25T14:17:42","indexId":"70032574","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Regional scale impacts of <i>Tamarix</i> leaf beetles (<i>Diorhabda carinulata</i>) on the water availability of western U.S. rivers as determined by multi-scale remote sensing methods","docAbstract":"<i>Tamarix</i> leaf beetles (<i>Diorhabda carinulata</i>) have been widely released on western U.S. rivers to control introduced shrubs in the genus <i>Tamarix</i>. Part of the motivation to control <i>Tamarix</i> is to salvage water for human use. Information is needed on the impact of beetles on <i>Tamarix</i> seasonal leaf production and subsequent water use overwide areas andmultiple cycles of annual defoliation.Herewe combine ground data with high resolution phenocam imagery and moderate resolution (Landsat) and coarser resolution (MODIS) satellite imagery to test the effects of beetles on <i>Tamarix</i> evapotranspiration (ET) and leaf phenology at sites on six western rivers. Satellite imagery covered the period 2000 to 2010 which encompassed years before and after beetle release at each study site. Phenocam images showed that beetles reduced green leaf cover of individual canopies by about 30% during a 6-8 week period in summer, but plants produced new leaves after beetles became dormant in August, and over three years no net reduction in peak summer leaf production was noted. ETwas estimated by vegetation index methods, and both Landsat and MODIS analyses showed that beetles reduced ET markedly in the first year of defoliation, but ET recovered in subsequent years. Over all six sites, ET decreased by 14% to 15% by Landsat and MODIS estimates, respectively. However, resultswere variable among sites, ranging fromno apparent effect on ET to substantial reduction in ET. Baseline ET rates before defoliation were low, 394 mmyr<sup>-1</sup> by Landsat and 314 mm yr<sup>-1</sup> by MODIS estimates (20-25% of potential ET), further constraining the amount of water that could be salvaged. Beetle-<i>Tamarix</i> interactions are in their early stage of development on this continent and it is too soon to predict the eventual extent towhich <i>Tamarix</i> populationswill be reduced. The utility of remote sensing methods for monitoring defoliation was constrained by the small area covered by each phenocamimage, the low temporal resolution of Landsat, and the lowspatial resolution ofMODIS imagery. Even combined image sets did not adequately reveal the details of the defoliation process, and remote sensing data should be combined with ground observations to develop operational monitoring protocols.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2011.11.011","issn":"00344257","usgsCitation":"Nagler, P.L., Brown, T., Hultine, K.R., van Riper, C., Bean, D., Dennison, P.E., Murray, R.S., and Glenn, E.P., 2012, Regional scale impacts of <i>Tamarix</i> leaf beetles (<i>Diorhabda carinulata</i>) on the water availability of western U.S. rivers as determined by multi-scale remote sensing methods: Remote Sensing of Environment, v. 118, p. 227-240, https://doi.org/10.1016/j.rse.2011.11.011.","productDescription":"14 p.","startPage":"227","endPage":"240","numberOfPages":"14","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":241759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214071,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2011.11.011"}],"country":"United States","state":"Colorado;Nevada;Utah;Wyoming","otherGeospatial":"Big Horn River;Humbolt River;Lower Delores River;Middle-upper Delores River;Upper Colorado River;Walker River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0800,37.0000 ], [ -120.0800,45.0000 ], [ -106.3000,45.0000 ], [ -106.3000,37.0000 ], [ -120.0800,37.0000 ] ] ] } } ] }","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788eb2e4b0cfc2d59f5b0d","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":436882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Tim","contributorId":17841,"corporation":false,"usgs":true,"family":"Brown","given":"Tim","affiliations":[],"preferred":false,"id":436884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":436886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":436888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bean, Daniel W.","contributorId":11016,"corporation":false,"usgs":false,"family":"Bean","given":"Daniel W.","affiliations":[{"id":16124,"text":"Colorado Department of Agriculture, Biological Pest Control","active":true,"usgs":false}],"preferred":false,"id":436883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dennison, Philip E.","contributorId":105132,"corporation":false,"usgs":true,"family":"Dennison","given":"Philip","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":436889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murray, R. Scott","contributorId":64468,"corporation":false,"usgs":true,"family":"Murray","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":436887,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":436885,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70169879,"text":"70169879 - 2012 - Timing of wet snow avalanche activity: An analysis from Glacier National Park, Montana, USA.","interactions":[],"lastModifiedDate":"2017-04-25T10:41:57","indexId":"70169879","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Timing of wet snow avalanche activity: An analysis from Glacier National Park, Montana, USA.","docAbstract":"<p><span>Wet snow avalanches pose a problem for annual spring road opening operations along the Going-to-the-Sun Road (GTSR) in Glacier National Park, Montana, USA. A suite of meteorological metrics and snow observations has been used to forecast for wet slab and glide avalanche activity. However, the timing of spring wet slab and glide avalanches is a difficult process to forecast and requires new capabilities. For the 2011 and 2012 spring seasons we tested a previously developed classification tree model which had been trained on data from 2003-2010. For 2011, this model yielded a 91% predictive rate for avalanche days. For 2012, the model failed to capture any of the avalanche days observed. We then investigated these misclassified avalanche days in the 2012 season by comparing them to the misclassified days from the original dataset from which the model was trained. Results showed no significant difference in air temperature variables between this year and the original training data set for these misclassified days. This indicates that 2012 was characterized by avalanche days most similar to those that the model struggled with in the original training data. The original classification tree model showed air temperature to be a significant variable in wet avalanche activity which implies that subsequent movement of meltwater through the snowpack is also important. To further understand the timing of water flow we installed two lysimeters in fall 2011 before snow accumulation. Water flow showed a moderate correlation with air temperature later in the season and no synchronous pattern associated with wet slab and glide avalanche activity. We also characterized snowpack structure as the snowpack transitioned from a dry to a wet snowpack throughout the spring. This helped to assess potential failure layers of wet snow avalanches and the timing of avalanches compared to water moving through the snowpack. These tools (classification tree model and lysimeter data), combined with standard meteorological and avalanche observations, proved useful to forecasters regarding the timing of wet snow avalanche activity along the GTSR.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 2012 International Snow Science Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2012 International Snow Science Workshop","conferenceDate":"September 16-21, 2012","conferenceLocation":"Anchorage, AK","language":"English","publisher":"International Snow Science Workshop","usgsCitation":"Peitzsch, E.H., Hendrikx, J., and Fagre, D.B., 2012, Timing of wet snow avalanche activity: An analysis from Glacier National Park, Montana, USA., <i>in</i> Proceedings, 2012 International Snow Science Workshop, Anchorage, AK, September 16-21, 2012, p. 884-891.","productDescription":"8 p.","startPage":"884","endPage":"891","ipdsId":"IP-039562","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":340124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340123,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item/1664"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fdbd19e4b007492829448b","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendrikx, Jordy","contributorId":166967,"corporation":false,"usgs":false,"family":"Hendrikx","given":"Jordy","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":625436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196558,"text":"70196558 - 2012 - Assessing freshwater habitat of adult anadromous alewives using multiple approaches","interactions":[],"lastModifiedDate":"2018-04-17T10:30:50","indexId":"70196558","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Assessing freshwater habitat of adult anadromous alewives using multiple approaches","docAbstract":"<p><span>After centuries of disturbance, environmental professionals now recognize the need to restore coastal watersheds for native fish and protect the larger ecosystems on which fish and other aquatic biota depend. Anadromous fish species are an important component of coastal ecosystems that are often adversely affected by human activities. Restoring native anadromous fish species is a common focus of both fish and coastal watershed restoration. Yet restoration efforts have met with uneven success, often due to lack of knowledge about habitat availability and use. Using habitat surveys and radio tracking of adult anadromous alewives&nbsp;</span><i>Alosa pseudoharengus</i><span><span>&nbsp;</span>during their spring spawning migration, we illustrate a method for quantifying habitat using multiple approaches and for relating mobile fish distribution to habitat. In the Ipswich River, Massachusetts, measuring habitat units and physical conditions at transects (width, depth, and velocity) provided an ecological basis for the interpretation of landscape patterns of fish distribution. Mapping habitat units allowed us to efficiently census habitat relevant to alewives for the entire 20.6 river kilometers of interest. Our transect data reinforced the results of the habitat unit survey and provided useful, high‐resolution ecological data for restoration efforts. Tagged alewives spent little time in riffle–run habitats and substantial time in pools, although the locations of pool occupancy varied. The insights we provide here can be used to (1) identify preferred habitats into which anadromous fish can be reintroduced in order to maximize fish survival and reproduction and (2) pinpoint habitat types in urgent need of protection or restoration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/19425120.2012.675980","usgsCitation":"Mather, M.E., Frank, H.J., Smith, J.M., Cormier, R.D., Muth, R.M., and Finn, J.T., 2012, Assessing freshwater habitat of adult anadromous alewives using multiple approaches: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 4, no. 1, p. 188-200, https://doi.org/10.1080/19425120.2012.675980.","productDescription":"13 p.","startPage":"188","endPage":"200","ipdsId":"IP-024880","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2012.675980","text":"Publisher Index Page"},{"id":353479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-18","publicationStatus":"PW","scienceBaseUri":"5afef2c9e4b0da30c1bfc881","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":733582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frank, Holly J.","contributorId":86605,"corporation":false,"usgs":true,"family":"Frank","given":"Holly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":733617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":733618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cormier, Roxann D.","contributorId":204312,"corporation":false,"usgs":false,"family":"Cormier","given":"Roxann","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":733619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muth, Robert M.","contributorId":41682,"corporation":false,"usgs":true,"family":"Muth","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":733620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finn, John T.","contributorId":78302,"corporation":false,"usgs":true,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":733621,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}