{"pageNumber":"1106","pageRowStart":"27625","pageSize":"25","recordCount":184769,"records":[{"id":70173894,"text":"70173894 - 2016 - Seasonal Variability in Vadose zone biodegradation at a crude oil pipeline rupture site","interactions":[],"lastModifiedDate":"2018-08-09T12:03:11","indexId":"70173894","displayToPublicDate":"2016-06-28T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal Variability in Vadose zone biodegradation at a crude oil pipeline rupture site","docAbstract":"

Understanding seasonal changes in natural attenuation processes is critical for evaluating source-zone longevity and informing management decisions. The seasonal variations of natural attenuation were investigated through measurements of surficial CO2 effluxes, shallow soil CO2 radiocarbon contents, subsurface gas concentrations, soil temperature, and volumetric water contents during a 2-yr period. Surficial CO2 effluxes varied seasonally, with peak values of total soil respiration (TSR) occurring in the late spring and summer. Efflux and radiocarbon data indicated that the fractional contributions of natural soil respiration (NSR) and contaminant soil respiration (CSR) to TSR varied seasonally. The NSR dominated in the spring and summer, and CSR dominated in the fall and winter. Subsurface gas concentrations also varied seasonally, with peak values of CO2 and CH4 occurring in the fall and winter. Vadose zone temperatures and subsurface CO2 concentrations revealed a correlation between contaminant respiration and temperature. A time lag of 5 to 7 mo between peak subsurface CO2 concentrations and peak surface efflux is consistent with travel-time estimates for subsurface gas migration. Periods of frozen soils coincided with depressed surface CO2 effluxes and elevated CO2 concentrations, pointing to the temporary presence of an ice layer that inhibited gas transport. Quantitative reactive transport simulations demonstrated aspects of the conceptual model developed from field measurements. Overall, results indicated that source-zone natural attenuation (SZNA) rates and gas transport processes varied seasonally and that the average annual SZNA rate estimated from periodic surface efflux measurements is 60% lower than rates determined from measurements during the summer.

","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Fitchburg, WI","doi":"10.2136/vzj2015.09.0125","usgsCitation":"Sihota, N.J., Trost, J.J., Bekins, B., Berg, A.M., Delin, G.N., Mason, B.E., Warren, E., and Mayer, K.U., 2016, Seasonal Variability in Vadose zone biodegradation at a crude oil pipeline rupture site: Vadose Zone Journal, v. 15, no. 5, 14 p., https://doi.org/10.2136/vzj2015.09.0125.","productDescription":"14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057205","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":324558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-13","publicationStatus":"PW","scienceBaseUri":"577391a7e4b07657d1a88bd8","contributors":{"authors":[{"text":"Sihota, Natasha J.","contributorId":46431,"corporation":false,"usgs":true,"family":"Sihota","given":"Natasha","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":638903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berg, Andrew M. 0000-0001-9312-240X aberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9312-240X","contributorId":5642,"corporation":false,"usgs":true,"family":"Berg","given":"Andrew","email":"aberg@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delin, Geoffrey N. 0000-0001-7991-6158 delin@usgs.gov","orcid":"https://orcid.org/0000-0001-7991-6158","contributorId":2610,"corporation":false,"usgs":true,"family":"Delin","given":"Geoffrey","email":"delin@usgs.gov","middleInitial":"N.","affiliations":[{"id":5063,"text":"Central Water Science Field Team","active":true,"usgs":true}],"preferred":true,"id":638905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mason, Brent E. bmason@usgs.gov","contributorId":5196,"corporation":false,"usgs":true,"family":"Mason","given":"Brent","email":"bmason@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warren, Ean ewarren@usgs.gov","contributorId":1351,"corporation":false,"usgs":true,"family":"Warren","given":"Ean","email":"ewarren@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638907,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mayer, K. 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Remote sensing has proven a useful way of evaluating long-term trends in vegetation “greenness” through the use of vegetation indices like Normalized Differences Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). In particular, analyses of greenness trends have been performed for large areas (continents, for example) in an attempt to understand vegetation response to climate. These studies have been most often used coarse resolution sensors like Moderate Resolution Image Spectroradiometer (MODIS) and Advanced Very High Resolution Radiometer (AVHRR). However, trends in greenness are also important at more local scales, particularly in and around cities as vegetation offers a variety of valuable ecosystem services ranging from minimizing air pollution to mitigating urban heat island effects. To explore the ability to monitor greenness trends in and around cities, this paper presents a new way for analyzing greenness trends based on all available Landsat 5, 7, and 8 images and applies it to Guangzhou, China. This method is capable of including the effects of land cover change in the evaluation of greenness trends by separating the effects of abrupt and gradual changes, and providing information on the timing of greenness trends.

\n

An assessment of the consistency of surface reflectance from Landsat 8 with past Landsat sensors indicates biases in the visible bands of Landsat 8, especially the blue band. Landsat 8 NDVI values were found to have a larger bias than the EVI values; therefore, EVI was used in the analysis of greenness trends for Guangzhou. In spite of massive amounts of development in Guangzhou from 2000 to 2014, greenness was found to increase, mostly as a result of gradual change. Comparison of the greening magnitudes estimated from the approach presented here and a Simple Linear Trend (SLT) method indicated large differences for certain time intervals as the SLT method does not include consideration for abrupt land cover changes. Overall, this analysis demonstrates the importance of considering land cover change when analyzing trends in greenness from satellite time series in areas where land cover change is common.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.03.036","usgsCitation":"Zhu, Z., Fu, Y., Woodcock, C., Olofsson, P., Vogelmann, J., Holden, C., Wang, M., Dai, S., and Yu, Y., 2016, Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014): Remote Sensing of Environment, v. 185, p. 243-257, https://doi.org/10.1016/j.rse.2016.03.036.","productDescription":"15 p.","startPage":"243","endPage":"257","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068963","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470818,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.03.036","text":"Publisher Index Page"},{"id":324550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","city":"Guangzhou","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 112.5,\n 21.453068633086783\n ],\n [\n 116.71874999999999,\n 21.453068633086783\n ],\n [\n 116.71874999999999,\n 26.86328062676624\n ],\n [\n 112.5,\n 26.86328062676624\n ],\n [\n 112.5,\n 21.453068633086783\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"185","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577391a6e4b07657d1a88bd0","contributors":{"authors":[{"text":"Zhu, Zhe 0000-0001-8283-6407 zhezhu@usgs.gov","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":168792,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhe","email":"zhezhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":627309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fu, Yingchun","contributorId":172520,"corporation":false,"usgs":false,"family":"Fu","given":"Yingchun","email":"","affiliations":[],"preferred":false,"id":641108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodcock, Curtis","contributorId":166666,"corporation":false,"usgs":false,"family":"Woodcock","given":"Curtis","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":641109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olofsson, Pontus","contributorId":131007,"corporation":false,"usgs":false,"family":"Olofsson","given":"Pontus","email":"","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":641110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":127752,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":641111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holden, Christopher","contributorId":172521,"corporation":false,"usgs":false,"family":"Holden","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":641112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Min","contributorId":145692,"corporation":false,"usgs":false,"family":"Wang","given":"Min","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":641113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dai, Shu","contributorId":172522,"corporation":false,"usgs":false,"family":"Dai","given":"Shu","email":"","affiliations":[],"preferred":false,"id":641114,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, Yang","contributorId":172524,"corporation":false,"usgs":false,"family":"Yu","given":"Yang","email":"","affiliations":[],"preferred":false,"id":641115,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70170411,"text":"70170411 - 2016 - Spatiotemporal patterns of mercury accumulation in lake sediments of western North America","interactions":[],"lastModifiedDate":"2018-08-09T12:04:23","indexId":"70170411","displayToPublicDate":"2016-06-28T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal patterns of mercury accumulation in lake sediments of western North America","docAbstract":"

For the Western North America Mercury Synthesis, we compiled mercury records from 165 dated sediment cores from 138 natural lakes across western North America. Lake sediments are accepted as faithful recorders of historical mercury accumulation rates, and regional and sub-regional temporal and spatial trends were analyzed with descriptive and inferential statistics. Mercury accumulation rates in sediments have increased, on average, four times (4×) from 1850 to 2000 and continue to increase by approximately 0.2 μg/m2 per year. Lakes with the greatest increases were influenced by the Flin Flon smelter, followed by lakes directly affected by mining and wastewater discharges. Of lakes not directly affected by point sources, there is a clear separation in mercury accumulation rates between lakes with no/little watershed development and lakes with extensive watershed development for agricultural and/or residential purposes. Lakes in the latter group exhibited a sharp increase in mercury accumulation rates with human settlement, stabilizing after 1950 at five times (5×) 1850 rates. Mercury accumulation rates in lakes with no/little watershed development were controlled primarily by relative watershed size prior to 1850, and since have exhibited modest increases (in absolute terms and compared to that described above) associated with (regional and global) industrialization. A sub-regional analysis highlighted that in the ecoregion Northwestern Forest Mountains, <1% of mercury deposited to watersheds is delivered to lakes. Research is warranted to understand whether mountainous watersheds act as permanent sinks for mercury or if export of “legacy” mercury (deposited in years past) will delay recovery when/if emissions reductions are achieved.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.03.167","usgsCitation":"Drevnick, P., Cooke, C.A., Barraza, D., Blais, J., Coale, K., Cumming, B.F., Curtis, C., Das, B., Donahue, W.F., Eagles-Smith, C.A., Engstrom, D.R., Fitzgerald, W., Furl, C.V., Gray, J.R., Hall, R.I., Jackson, T.A., Laird, K.R., Lockhart, W.L., Macdonald, R.W., Mast, M.A., Mathieu, C., Muir, D.C., Outridge, P., Reinemann, S., Rothenberg, S.E., Ruiz-Fernandex, A.C., , L., Sanders, R., Sanei, H., Skierszkan, E., Van Metre, P., Veverica, T., Wiklund, J.A., and Wolfe, B.B., 2016, Spatiotemporal patterns of mercury accumulation in lake sediments of western North America: Science of the Total Environment, v. 568, p. 1157-1170, https://doi.org/10.1016/j.scitotenv.2016.03.167.","productDescription":"14 p.","startPage":"1157","endPage":"1170","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072067","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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Canada","active":true,"usgs":false}],"preferred":false,"id":627146,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Laird, Kathleen R.","contributorId":168746,"corporation":false,"usgs":false,"family":"Laird","given":"Kathleen","email":"","middleInitial":"R.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":627147,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lockhart, W. Lyle","contributorId":168747,"corporation":false,"usgs":false,"family":"Lockhart","given":"W.","email":"","middleInitial":"Lyle","affiliations":[{"id":13015,"text":"Department of Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":627148,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Macdonald, Robie W.","contributorId":167171,"corporation":false,"usgs":false,"family":"Macdonald","given":"Robie","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":627149,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627150,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Mathieu, Callie","contributorId":168748,"corporation":false,"usgs":false,"family":"Mathieu","given":"Callie","email":"","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":627151,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Muir, Derek C.G.","contributorId":68679,"corporation":false,"usgs":true,"family":"Muir","given":"Derek","email":"","middleInitial":"C.G.","affiliations":[],"preferred":false,"id":627152,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Outridge, Peter","contributorId":168749,"corporation":false,"usgs":false,"family":"Outridge","given":"Peter","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":627153,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Reinemann, Scott","contributorId":168750,"corporation":false,"usgs":false,"family":"Reinemann","given":"Scott","email":"","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":627154,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Rothenberg, Sarah E.","contributorId":92987,"corporation":false,"usgs":true,"family":"Rothenberg","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":627155,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Ruiz-Fernandex, Ana Carolina","contributorId":168751,"corporation":false,"usgs":false,"family":"Ruiz-Fernandex","given":"Ana","email":"","middleInitial":"Carolina","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":627156,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":" Louis","contributorId":71353,"corporation":false,"usgs":true,"given":"Louis","email":"","affiliations":[],"preferred":false,"id":627157,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Sanders, Rhea","contributorId":168752,"corporation":false,"usgs":false,"family":"Sanders","given":"Rhea","email":"","affiliations":[{"id":25355,"text":"Moss Landing Marine Sciences Laboratories","active":true,"usgs":false}],"preferred":false,"id":627158,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sanei, Hamed","contributorId":168753,"corporation":false,"usgs":false,"family":"Sanei","given":"Hamed","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":627159,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Skierszkan, Elliott","contributorId":168754,"corporation":false,"usgs":false,"family":"Skierszkan","given":"Elliott","email":"","affiliations":[{"id":13374,"text":"University of Ottawa, Canada","active":true,"usgs":false}],"preferred":false,"id":627160,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627161,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Veverica, Timothy","contributorId":168755,"corporation":false,"usgs":false,"family":"Veverica","given":"Timothy","email":"","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":627162,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wiklund, Johan A.","contributorId":168756,"corporation":false,"usgs":false,"family":"Wiklund","given":"Johan","email":"","middleInitial":"A.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":627163,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Wolfe, Brent B.","contributorId":172516,"corporation":false,"usgs":false,"family":"Wolfe","given":"Brent","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":641098,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}} ,{"id":70171119,"text":"70171119 - 2016 - An assessment of mercury in estuarine sediment and tissue in Southern New Jersey using public domain data","interactions":[],"lastModifiedDate":"2016-06-28T15:09:16","indexId":"70171119","displayToPublicDate":"2016-06-28T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of mercury in estuarine sediment and tissue in Southern New Jersey using public domain data","docAbstract":"

Mercury (Hg) is considered a contaminant of global concern for coastal environments due to its toxicity, widespread occurrence in sediment, and bioaccumulation in tissue. Coastal New Jersey, USA, is characterized by shallow bays and wetlands that provide critical habitat for wildlife but share space with expanding urban landscapes. This study was designed as an assessment of the magnitude and distribution of Hg in coastal New Jersey sediments and critical species using publicly available data to highlight potential data gaps. Mercury concentrations in estuary sediments can exceed 2 μg/g and correlate with concentrations of other metals. Based on existing data, the concentrations of Hg in mussels in southern New Jersey are comparable to those observed in other urbanized Atlantic Coast estuaries. Lack of methylmercury data for sediments, other media, and tissues are data gaps needing to be filled for a clearer understanding of the impacts of Hg inputs to the ecosystem.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.027","usgsCitation":"Ng, K., Szabo, Z., Reilly, P.A., Barringer, J., and Smalling, K., 2016, An assessment of mercury in estuarine sediment and tissue in Southern New Jersey using public domain data: Marine Pollution Bulletin, v. 107, no. 1, p. 22-35, https://doi.org/10.1016/j.marpolbul.2016.04.027.","productDescription":"14 p.","startPage":"22","endPage":"35","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069013","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":470819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2016.04.027","text":"Publisher Index Page"},{"id":324536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.7015380859375,\n 39.24714385893248\n ],\n [\n -74.7015380859375,\n 40.12009038025332\n ],\n [\n -74.00665283203124,\n 40.12009038025332\n ],\n [\n -74.00665283203124,\n 39.24714385893248\n ],\n [\n -74.7015380859375,\n 39.24714385893248\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577391a2e4b07657d1a88bbe","contributors":{"authors":[{"text":"Ng, Kara","contributorId":169541,"corporation":false,"usgs":false,"family":"Ng","given":"Kara","email":"","affiliations":[{"id":25560,"text":"The City College of New York, Division of Science","active":true,"usgs":false}],"preferred":false,"id":629961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barringer, Julia jbarring@usgs.gov","contributorId":169542,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia","email":"jbarring@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":149769,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L. ","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":629964,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169127,"text":"70169127 - 2016 - Hemidactylus parvimaculatus (Sri Lankan spotted house gecko)","interactions":[],"lastModifiedDate":"2016-07-17T23:05:34","indexId":"70169127","displayToPublicDate":"2016-06-28T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Hemidactylus parvimaculatus (Sri Lankan spotted house gecko)","docAbstract":"

USA: LOUISIANA: St. Tammany Parish: private property ca. 4 km S of Abita Springs, E of State Hwy 59, and N of Interstate 12 (30.44000°N, 90.02000°W; WGS 84). 18 August 2013. Brad M. Glorioso. Verified by David Heckard. Florida Museum of Natural History (UF 176422, photo voucher). New parish record. This species was first reported in the Americas in the vicinity of Audubon Zoo in New Orleans, Louisiana (Heckard et al. 2013. IRCF Reptiles & Amphibians 20:192–196). This is the third report of this species in Louisiana (Heckard et al. 2013, op. cit.; Borgardt 2015. Herpetol. Rev. 46:217), and is now documented from Orleans, Jefferson, and St. Tammany parishes in southeast Louisiana. The individual was located at night, ca. 10 m from a dwelling on the forest floor amid a downed picket fence, which was resting atop a thick layer of pine needles. There are H. turcicus at the property, but this individual was recognized as unusual, and many photos were taken before releasing the animal. It was not until much later that it was determined to be H. parvimaculatus. The origin of this individual is unknown, as the owners of this 1.62-ha property are elderly and do not keep any pets. Subsequent casual searches have not turned up any new individuals. I thank David Heckard for his help with identification and discussion of this species in Louisiana.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Glorioso, B.M., 2016, Hemidactylus parvimaculatus (Sri Lankan spotted house gecko): Herpetological Review, v. 47, no. 1, p. 81-81.","productDescription":"1 p.","startPage":"81","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071143","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319094,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/publications/journals/herpetological-review/"}],"volume":"47","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577391a5e4b07657d1a88bca","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":623127,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70169031,"text":"70169031 - 2016 - The role of ocean tides on groundwater-surface water exchange in a mangrove-dominated estuary: Shark River Slough, Florida Coastal Everglades, USA","interactions":[],"lastModifiedDate":"2025-05-13T16:48:37.177037","indexId":"70169031","displayToPublicDate":"2016-06-28T15:15:00","publicationYear":"2016","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":"The role of ocean tides on groundwater-surface water exchange in a mangrove-dominated estuary: Shark River Slough, Florida Coastal Everglades, USA","docAbstract":"

Low-relief environments like the Florida Coastal Everglades (FCE) have complicated hydrologic systems where surface water and groundwater processes are intimately linked yet hard to separate. Fluid exchange within these lowhydraulic-gradient systems can occur across broad spatial and temporal scales, with variable contributions to material transport and transformation. Identifying and assessing the scales at which these processes operate is essential for accurate evaluations of how these systems contribute to global biogeochemical cycles. The distribution of 222Rn and 223,224,226Ra have complex spatial patterns along the Shark River Slough estuary (SRSE), Everglades, FL. High-resolution time-series measurements of 222Rn activity, salinity, and water level were used to quantify processes affecting radon fluxes out of the mangrove forest over a tidal cycle. Based on field data, tidal pumping through an extensive network of crab burrows in the lower FCE provides the best explanation for the high radon and fluid fluxes. Burrows are irrigated during rising tides when radon and other dissolved constituents are released from the mangrove soil. Flushing efficiency of the burrows—defined as the tidal volume divided by the volume of burrows— estimated for the creek drainage area vary seasonally from 25 (wet season) to 100 % (dry season) in this study. The tidal pumping of the mangrove forest soil acts as a significant vector for exchange between the forest and the estuary. Processes that enhance exchange of O2 and other materials across the sediment-water interface could have a profound impact on the environmental response to larger scale processes such as sea level rise and climate change. Compounding the material budgets of the SRSE are additional inputs from groundwater from the Biscayne Aquifer, which were identified using radium isotopes. Quantification of the deep groundwater component is not obtainable, but isotopic data suggest a more prevalent signal in the dry season. These findings highlight the important role that both tidal- and seasonal-scale forcings play on groundwater movement in low-gradient hydrologic systems.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0079-z","usgsCitation":"Smith, C.G., Price, R.M., Swarzenski, P.W., and Stalker, J.C., 2016, The role of ocean tides on groundwater-surface water exchange in a mangrove-dominated estuary: Shark River Slough, Florida Coastal Everglades, USA: Estuaries and Coasts, v. 39, no. 6, p. 1600-1616, https://doi.org/10.1007/s12237-016-0079-z.","productDescription":"17 p.","startPage":"1600","endPage":"1616","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067122","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":324525,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.3482666015625,\n 25.175116531621764\n ],\n [\n -81.3482666015625,\n 25.76526690492097\n ],\n [\n -80.4364013671875,\n 25.76526690492097\n ],\n [\n -80.4364013671875,\n 25.175116531621764\n ],\n [\n -81.3482666015625,\n 25.175116531621764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-26","publicationStatus":"PW","scienceBaseUri":"577391a8e4b07657d1a88bdc","contributors":{"authors":[{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Rene M.","contributorId":52880,"corporation":false,"usgs":true,"family":"Price","given":"Rene","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":622617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":622618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stalker, Jeremy C.","contributorId":167541,"corporation":false,"usgs":false,"family":"Stalker","given":"Jeremy","email":"","middleInitial":"C.","affiliations":[{"id":24739,"text":"Jacksonville State University","active":true,"usgs":false}],"preferred":false,"id":622619,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174228,"text":"70174228 - 2016 - Genetic reconstruction of a bullfrog invasion to elucidate vectors of introduction and secondary spread","interactions":[],"lastModifiedDate":"2016-08-04T15:20:25","indexId":"70174228","displayToPublicDate":"2016-06-28T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genetic reconstruction of a bullfrog invasion to elucidate vectors of introduction and secondary spread","docAbstract":"

Reconstructing historical colonization pathways of an invasive species is critical for uncovering factors that determine invasion success and for designing management strategies. The American bullfrog (Lithobates catesbeianus) is endemic to eastern North America, but now has a global distribution and is considered to be one of the worst invaders in the world. In Montana, several introduced populations have been reported, but little is known of their sources and vectors of introduction and secondary spread. We evaluated the genetic composition of introduced populations at local (Yellowstone River floodplain) and regional (Montana and Wyoming) scales in contrast to native range populations. Our objectives were to (1) estimate the number of introductions, (2) identify probable native sources, (3) evaluate genetic variation relative to sources, and (4) characterize properties of local- and regional-scale spread. We sequenced 937 bp of the mitochondrial cytochrome b locus in 395 tadpoles collected along 100 km of the Yellowstone River, from three additional sites in MT and a proximate site in WY. Pairwise ΦST revealed high divergence among nonnative populations, suggesting at least four independent introductions into MT from diverse sources. Three cyt b haplotypes were identical to native haplotypes distributed across the Midwest and Great Lakes regions, and AMOVA confirmed the western native region as a likely source. While haplotype (Hd = 0.69) and nucleotide diversity (π = 0.005) were low in introduced bullfrogs, the levels of diversity did not differ significantly from source populations. In the Yellowstone, two identified haplotypes implied few introduction vectors and a significant relationship between genetic and river distance was found. Evidence for multiple invasions and lack of subsequent regional spread emphasizes the importance of enforcing legislation prohibiting bullfrog importation and the need for continuing public education to prevent transport of bullfrogs in MT. More broadly, this study demonstrates how genetic approaches can reveal key properties of a biological invasion to inform management strategies.

","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/ece3.2278","usgsCitation":"Kamath, P.L., Sepulveda, A.J., and Layhee, M.J., 2016, Genetic reconstruction of a bullfrog invasion to elucidate vectors of introduction and secondary spread: Ecology and Evolution, v. 6, no. 15, p. 5221-5233, https://doi.org/10.1002/ece3.2278.","productDescription":"13 p.","startPage":"5221","endPage":"5233","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070987","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470820,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2278","text":"Publisher Index Page"},{"id":324745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"6","issue":"15","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-28","publicationStatus":"PW","scienceBaseUri":"57779430e4b07dd077c905de","chorus":{"doi":"10.1002/ece3.2278","url":"http://dx.doi.org/10.1002/ece3.2278","publisher":"Wiley-Blackwell","authors":"Kamath Pauline L., Sepulveda Adam J., Layhee Megan","journalName":"Ecology and Evolution","publicationDate":"6/28/2016"},"contributors":{"authors":[{"text":"Kamath, Pauline L. pkamath@usgs.gov","contributorId":4517,"corporation":false,"usgs":true,"family":"Kamath","given":"Pauline","email":"pkamath@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":641437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":641436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":641438,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170667,"text":"70170667 - 2016 - Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations","interactions":[],"lastModifiedDate":"2016-11-09T10:11:38","indexId":"70170667","displayToPublicDate":"2016-06-28T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations","docAbstract":"

Supraglacial rivers on the Greenland ice sheet (GrIS) transport large volumes of surface meltwater toward the ocean, yet have received relatively little direct research. This study presents field observations of channel width, depth, velocity, and water surface slope for nine supraglacial channels on the southwestern GrIS collected between 23 July and 20 August, 2012. Field sites are located up to 74 km inland and span 494-1485 m elevation, and contain measured discharges larger than any previous in situ study: from 0.006 to 23.12 m3/s in channels 0.20 to 20.62 m wide. All channels were deeply incised with near vertical banks, and hydraulic geometry results indicate that supraglacial channels primarily accommodate greater discharges by increasing velocity. Smaller streams had steeper water surface slopes (0.74-8.83%) than typical in terrestrial settings, yielding correspondingly high velocities (0.40-2.60 m/s) and Froude numbers (0.45-3.11) with supercritical flow observed in 54% of measurements. Derived Manning's n values were larger and more variable than anticipated from channels of uniform substrate, ranging from 0.009 to 0.154 with a mean value of 0.035 +/- 0.027 despite the absence of sediment, debris, or other roughness elements. Ubiquitous micro-depressions in shallow sections of the channel bed may explain some of these roughness values. However, we find that other, unobserved sources of flow resistance likely contributed to these elevated n values: future work should explicitly consider additional sources of flow resistance beyond bed roughness in supraglacial channels. We conclude that hydraulic modelling for these channels must allow for both sub- and supercritical flow, and most importantly must refrain from assuming that all ice-substrate channels exhibit similar hydraulic behavior, especially for Froude numbers and Manning's n. Finally, this study highlights that further theoretical and empirical work on supraglacial channel hydraulics is necessary before broad scale understanding of ice sheet hydrology can be achieved. This article is protected by copyright. All rights reserved.

","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/esp.3977","usgsCitation":"Gleason, C.J., Smith, L., Chu, V.W., Legleiter, C.J., Pitcher, L.H., Overstreet, B.T., Rennermalm, A.K., Forster, R.R., and Yang, K., 2016, Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations: Earth Surface Processes and Landforms, v. 41, no. 14, p. 2111-2122, https://doi.org/10.1002/esp.3977.","productDescription":"12 p.","startPage":"2111","endPage":"2122","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075253","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":324508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-46.76379,82.62796],[-43.40644,83.22516],[-39.89753,83.18018],[-38.62214,83.54905],[-35.08787,83.64513],[-27.10046,83.51966],[-20.84539,82.72669],[-22.69182,82.34165],[-26.51753,82.29765],[-31.9,82.2],[-31.39646,82.02154],[-27.85666,82.13178],[-24.84448,81.78697],[-22.90328,82.09317],[-22.07175,81.73449],[-23.16961,81.15271],[-20.62363,81.52462],[-15.76818,81.91245],[-12.77018,81.71885],[-12.20855,81.29154],[-16.28533,80.58004],[-16.85,80.35],[-20.04624,80.17708],[-17.73035,80.12912],[-18.9,79.4],[-19.70499,78.75128],[-19.67353,77.63859],[-18.47285,76.98565],[-20.03503,76.94434],[-21.67944,76.62795],[-19.83407,76.09808],[-19.59896,75.24838],[-20.66818,75.15585],[-19.37281,74.29561],[-21.59422,74.22382],[-20.43454,73.81713],[-20.76234,73.46436],[-22.17221,73.30955],[-23.56593,73.30663],[-22.31311,72.62928],[-22.29954,72.18409],[-24.27834,72.59788],[-24.79296,72.3302],[-23.44296,72.08016],[-22.13281,71.46898],[-21.75356,70.66369],[-23.53603,70.471],[-24.30702,70.85649],[-25.54341,71.43094],[-25.20135,70.75226],[-26.36276,70.22646],[-23.72742,70.18401],[-22.34902,70.12946],[-25.02927,69.2588],[-27.74737,68.47046],[-30.67371,68.12503],[-31.77665,68.12078],[-32.81105,67.73547],[-34.20196,66.67974],[-36.35284,65.9789],[-37.04378,65.93768],[-38.37505,65.69213],[-39.81222,65.45848],[-40.66899,64.83997],[-40.68281,64.13902],[-41.1887,63.48246],[-42.81938,62.68233],[-42.41666,61.90093],[-42.86619,61.07404],[-43.3784,60.09772],[-44.7875,60.03676],[-46.26364,60.85328],[-48.26294,60.85843],[-49.23308,61.40681],[-49.90039,62.38336],[-51.63325,63.62691],[-52.14014,64.27842],[-52.27659,65.1767],[-53.66166,66.09957],[-53.30161,66.8365],[-53.96911,67.18899],[-52.9804,68.35759],[-51.47536,68.72958],[-51.08041,69.14781],[-50.87122,69.9291],[-52.01358,69.57492],[-52.55792,69.42616],[-53.45629,69.28363],[-54.68336,69.61003],[-54.75001,70.28932],[-54.35884,70.82131],[-53.43131,70.83576],[-51.39014,70.56978],[-53.10937,71.20485],[-54.00422,71.54719],[-55,71.40654],[-55.83468,71.65444],[-54.71819,72.58625],[-55.32634,72.95861],[-56.12003,73.64977],[-57.32363,74.71026],[-58.59679,75.09861],[-58.58516,75.51727],[-61.26861,76.10238],[-63.39165,76.1752],[-66.06427,76.13486],[-68.50438,76.06141],[-69.66485,76.37975],[-71.40257,77.00857],[-68.77671,77.32312],[-66.76397,77.37595],[-71.04293,77.63595],[-73.297,78.04419],[-73.15938,78.43271],[-69.37345,78.91388],[-65.7107,79.39436],[-65.3239,79.75814],[-68.02298,80.11721],[-67.15129,80.51582],[-63.68925,81.21396],[-62.23444,81.3211],[-62.65116,81.77042],[-60.28249,82.03363],[-57.20744,82.19074],[-54.13442,82.19962],[-53.04328,81.88833],[-50.39061,82.43883],[-48.00386,82.06481],[-46.59984,81.98595],[-44.523,81.6607],[-46.9007,82.19979],[-46.76379,82.62796]]]},\"properties\":{\"name\":\"Greenland\"}}]}","volume":"41","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-10","publicationStatus":"PW","scienceBaseUri":"577391a2e4b07657d1a88bc0","contributors":{"authors":[{"text":"Gleason, Colin J.","contributorId":169003,"corporation":false,"usgs":false,"family":"Gleason","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":628024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Laurence C.","contributorId":169004,"corporation":false,"usgs":false,"family":"Smith","given":"Laurence C.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":628025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chu, Vena W.","contributorId":169005,"corporation":false,"usgs":false,"family":"Chu","given":"Vena","email":"","middleInitial":"W.","affiliations":[{"id":12626,"text":"Department of Geography, University of California, Berkeley, CA 94720, USA","active":true,"usgs":false}],"preferred":false,"id":628026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":628023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitcher, Lincoln H.","contributorId":169006,"corporation":false,"usgs":false,"family":"Pitcher","given":"Lincoln","email":"","middleInitial":"H.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":628027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":628028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rennermalm, Asa K.","contributorId":169007,"corporation":false,"usgs":false,"family":"Rennermalm","given":"Asa","email":"","middleInitial":"K.","affiliations":[{"id":25395,"text":"Department of Geography, Rutgers University, New Brunswick","active":true,"usgs":false}],"preferred":false,"id":628029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Forster, Richard R.","contributorId":169008,"corporation":false,"usgs":false,"family":"Forster","given":"Richard","email":"","middleInitial":"R.","affiliations":[{"id":25396,"text":"Department of Geography, University of Utah","active":true,"usgs":false}],"preferred":false,"id":628030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yang, Kang","contributorId":169009,"corporation":false,"usgs":false,"family":"Yang","given":"Kang","email":"","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":628031,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173795,"text":"70173795 - 2016 - Geographic distribution of genetic diversity in populations of Rio Grande Chub Gila pandora","interactions":[],"lastModifiedDate":"2016-09-06T13:53:35","indexId":"70173795","displayToPublicDate":"2016-06-28T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Geographic distribution of genetic diversity in populations of Rio Grande Chub Gila pandora","docAbstract":"

In the southwestern United States (US), the Rio Grande chub (Gila pandora) is state-listed as a fish species of greatest conservation need and federally listed as sensitive due to habitat alterations and competition with non-native fishes. Characterizing genetic diversity, genetic population structure, and effective number of breeders will assist with conservation efforts by providing a baseline of genetic metrics. Genetic relatedness within and among G. pandora populations throughout New Mexico was characterized using 11 microsatellite loci among 15 populations in three drainage basins (Rio Grande, Pecos, Canadian). Observed heterozygosity (HO) ranged from 0.71–0.87 and was similar to expected heterozygosity (0.75–0.87). Rio Ojo Caliente (Rio Grande) had the highest allelic richness (AR = 15.09), while Upper Rio Bonito (Pecos) had the lowest allelic richness (AR = 6.75). Genetic differentiation existed among all populations with the lowest genetic variation occurring within the Pecos drainage. STRUCTURE analysis revealed seven genetic clusters. Populations of G. pandora within the upper Rio Grande drainage (Rio Ojo Caliente, Rio Vallecitos, Rio Pueblo de Taos) had high levels of admixture with Q-values ranging from 0.30–0.50. In contrast, populations within the Pecos drainage (Pecos River and Upper Rio Bonito) had low levels of admixture (Q = 0.94 and 0.87, respectively). Estimates of effective number of breeders (N b ) varied from 6.1 (Pecos: Upper Rio Bonito) to 109.7 (Rio Grande: Rio Peñasco) indicating that populations in the Pecos drainage are at risk of extirpation. In the event that management actions are deemed necessary to preserve or increase genetic diversity of G. pandora, consideration must be given as to which populations are selected for translocation.

","language":"English","publisher":"Springer","doi":"10.1007/s10592-016-0845-2","usgsCitation":"Galindo, R., Wilson, W., and Caldwell, C.A., 2016, Geographic distribution of genetic diversity in populations of Rio Grande Chub Gila pandora: Conservation Genetics, v. 17, no. 5, p. 1081-1091, https://doi.org/10.1007/s10592-016-0845-2.","productDescription":"11 p.","startPage":"1081","endPage":"1091","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064386","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah,","otherGeospatial":"Southwest United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.18945312500001,\n 42.00032514831621\n ],\n [\n -111.02783203125,\n 42.01665183556825\n ],\n [\n -111.005859375,\n 40.9964840143779\n ],\n [\n -102.01904296874999,\n 41.0130657870063\n ],\n [\n -102.041015625,\n 37.03763967977139\n ],\n [\n -103.0078125,\n 36.98500309285596\n ],\n [\n -103.07373046875,\n 32.02670629333614\n ],\n [\n -106.435546875,\n 31.728167146023935\n ],\n [\n -108.19335937499999,\n 31.784216884487385\n ],\n [\n -108.21533203125,\n 31.29732799140429\n ],\n [\n -111.09374999999999,\n 31.3348710339506\n ],\n [\n -114.78515624999999,\n 32.56533316084101\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -117.1142578125,\n 32.56533316084101\n ],\n [\n -120.62988281249999,\n 33.97980872872457\n ],\n [\n -124.29931640625,\n 39.01064750994083\n ],\n [\n -124.56298828125001,\n 40.26276066437183\n ],\n [\n -124.18945312500001,\n 42.00032514831621\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-06","publicationStatus":"PW","scienceBaseUri":"577391a4e4b07657d1a88bc6","contributors":{"authors":[{"text":"Galindo, Rene","contributorId":172385,"corporation":false,"usgs":false,"family":"Galindo","given":"Rene","email":"","affiliations":[],"preferred":false,"id":640497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Wade","contributorId":103554,"corporation":false,"usgs":true,"family":"Wilson","given":"Wade","affiliations":[],"preferred":false,"id":640496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173940,"text":"70173940 - 2016 - Geology and biology of the \"Sticky Grounds,\" shelf-margin carbonate mounds, and mesophotic ecosystem in the eastern Gulf of Mexico","interactions":[],"lastModifiedDate":"2016-07-22T13:39:59","indexId":"70173940","displayToPublicDate":"2016-06-28T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Geology and biology of the \"Sticky Grounds,\" shelf-margin carbonate mounds, and mesophotic ecosystem in the eastern Gulf of Mexico","docAbstract":"

Shelf-margin carbonate mounds in water depths of 116–135 m in the eastern Gulf of Mexico along the central west Florida shelf were investigated using swath bathymetry, side-scan sonar, sub-bottom imaging, rock dredging, and submersible dives. These enigmatic structures, known to fisherman as the “Sticky Grounds”, trend along slope, are 5–15 m in relief with base diameters of 5–30 m, and suggest widespread potential for mesophotic reef habitat along the west Florida outer continental shelf. Possible origins are sea-level lowstand coral patch reefs, oyster reefs, or perhaps more recent post-lowstand biohermal development. Rock dredging recovered bioeroded carbonate-rock facies comprised of bored and cemented bioclastics. Rock sample components included calcified worm tubes, pelagic sediment, and oysters normally restricted to brackish nearshore areas. Several reef sites were surveyed at the Sticky Grounds during a cruise in August 2010 with the R/V Seward Johnson using the Johnson-Sea-Link II submersible to ground truth the swath-sonar maps and to quantify and characterize the benthic habitats, benthic macrofauna, fish populations, and coral/sponge cover. This study characterizes for the first time this mesophotic reef ecosystem and associated fish populations, and analyzes the interrelationships of the fish assemblages, benthic habitats and invertebrate biota. These highly eroded rock mounds provide extensive hard-bottom habitat for reef invertebrate species as well as essential fish habitat for reef fish and commercially/recreationally important fish species. The extent and significance of associated living resources with these bottom types is particularly important in light of the 2010 Deepwater Horizon oil spill in the northeastern Gulf and the proximity of the Loop Current. Mapping the distribution of these mesophotic-depth ecosystems is important for quantifying essential fish habitat and describing benthic resources. These activities can improve ecosystem management and planning of future oil and gas activities in this outer continental shelf region.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2016.06.015","usgsCitation":"Locker, S., Reed, J.K., Farrington, S., Harter, S., Hine, A.C., and Dunn, S., 2016, Geology and biology of the \"Sticky Grounds,\" shelf-margin carbonate mounds, and mesophotic ecosystem in the eastern Gulf of Mexico: Continental Shelf Research, v. 125, p. 71-87, https://doi.org/10.1016/j.csr.2016.06.015.","productDescription":"17 p.","startPage":"71","endPage":"87","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070404","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470821,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2016.06.015","text":"Publisher Index Page"},{"id":324506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.044921875,\n 30.06909396443887\n ],\n [\n -85.4296875,\n 29.420460341013133\n ],\n [\n -84.4189453125,\n 29.573457073017593\n ],\n [\n -83.935546875,\n 29.38217507514529\n ],\n [\n -83.4521484375,\n 28.76765910569123\n ],\n [\n -83.27636718749999,\n 28.033197847676377\n ],\n [\n -82.3974609375,\n 26.509904531413927\n ],\n [\n -82.08984375,\n 25.760319754713887\n ],\n [\n -82.6611328125,\n 25.284437746983055\n ],\n [\n -84.0234375,\n 24.886436490787712\n ],\n [\n -84.9462890625,\n 25.363882272740256\n ],\n [\n -86.0009765625,\n 26.27371402440643\n ],\n [\n -87.14355468749999,\n 26.902476886279807\n ],\n [\n -88.4619140625,\n 27.21555620902969\n ],\n [\n -89.912109375,\n 27.176469131898898\n ],\n [\n -91.4501953125,\n 26.86328062676624\n ],\n [\n -93.33984375,\n 26.745610382199022\n ],\n [\n -94.04296874999999,\n 26.745610382199022\n ],\n [\n -94.4384765625,\n 27.644606381943326\n ],\n [\n -94.4384765625,\n 28.613459424004414\n ],\n [\n -94.21875,\n 29.036960648558267\n ],\n [\n -92.5048828125,\n 28.9600886880068\n ],\n [\n -91.3623046875,\n 28.76765910569123\n ],\n [\n -89.47265625,\n 28.729130483430154\n ],\n [\n -88.59374999999999,\n 29.036960648558267\n ],\n [\n -88.06640625,\n 29.53522956294847\n ],\n [\n -87.0556640625,\n 29.6880527498568\n ],\n [\n -86.044921875,\n 30.06909396443887\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577391a4e4b07657d1a88bc8","contributors":{"authors":[{"text":"Locker, Stanley D. slocker@usgs.gov","contributorId":5906,"corporation":false,"usgs":true,"family":"Locker","given":"Stanley D.","email":"slocker@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":639634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, John K.","contributorId":172114,"corporation":false,"usgs":false,"family":"Reed","given":"John","email":"","middleInitial":"K.","affiliations":[{"id":26984,"text":"Harbor Branch Oceanographic Institute, Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":639635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrington, Stephanie","contributorId":172115,"corporation":false,"usgs":false,"family":"Farrington","given":"Stephanie","email":"","affiliations":[{"id":26984,"text":"Harbor Branch Oceanographic Institute, Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":639636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harter, Stacey","contributorId":172116,"corporation":false,"usgs":false,"family":"Harter","given":"Stacey","affiliations":[{"id":12555,"text":"NOAA Fisheries – Beaufort Laboratory, Beaufort, NC","active":true,"usgs":false}],"preferred":false,"id":639637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hine, Albert C.","contributorId":87580,"corporation":false,"usgs":true,"family":"Hine","given":"Albert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunn, Shane","contributorId":172117,"corporation":false,"usgs":false,"family":"Dunn","given":"Shane","email":"","affiliations":[{"id":7149,"text":"College of Marine Science, University of South Florida, St. Petersburg, FL","active":true,"usgs":false}],"preferred":false,"id":639639,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168946,"text":"70168946 - 2016 - High concentrations of manganese and sulfur in deposits on Murray Ridge, Endeavour Crater, Mars","interactions":[],"lastModifiedDate":"2018-11-08T17:09:01","indexId":"70168946","displayToPublicDate":"2016-06-28T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"High concentrations of manganese and sulfur in deposits on Murray Ridge, Endeavour Crater, Mars","docAbstract":"

Mars Reconnaissance Orbiter HiRISE images and Opportunity rover observations of the ~22 km wide Noachian age Endeavour Crater on Mars show that the rim and surrounding terrains were densely fractured during the impact crater-forming event. Fractures have also propagated upward into the overlying Burns formation sandstones. Opportunity’s observations show that the western crater rim segment, called Murray Ridge, is composed of impact breccias with basaltic compositions, as well as occasional fracture-filling calcium sulfate veins. Cook Haven, a gentle depression on Murray Ridge, and the site where Opportunity spent its sixth winter, exposes highly fractured, recessive outcrops that have relatively high concentrations of S and Cl, consistent with modest aqueous alteration. Opportunity’s rover wheels serendipitously excavated and overturned several small rocks from a Cook Haven fracture zone. Extensive measurement campaigns were conducted on two of them: Pinnacle Island and Stuart Island. These rocks have the highest concentrations of Mn and S measured to date by Opportunity and occur as a relatively bright sulfate-rich coating on basaltic rock, capped by a thin deposit of one or more dark Mn oxide phases intermixed with sulfate minerals. We infer from these unique Pinnacle Island and Stuart Island rock measurements that subsurface precipitation of sulfate-dominated coatings was followed by an interval of partial dissolution and reaction with one or more strong oxidants (e.g., O2) to produce the Mn oxide mineral(s) intermixed with sulfate-rich salt coatings. In contrast to arid regions on Earth, where Mn oxides are widely incorporated into coatings on surface rocks, our results demonstrate that on Mars the most likely place to deposit and preserve Mn oxides was in fracture zones where migrating fluids intersected surface oxidants, forming precipitates shielded from subsequent physical erosion.

","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2016-5599","usgsCitation":"Arvidson, R.E., Squyres, S.W., Morris, R., Knoll, A.H., Gellert, R., Clark, B., Catalano, J.G., Jolliff, B.L., McLennan, S.M., Herkenhoff, K.E., VanBommel, S., Mittelfehldt, D.W., Grotzinger, J., Guinness, E.A., Johnson, J., Bell, J.F., Farrand, W., Stein, N., Fox, V.K., Golombek, M., Hinkle, M.A., Calvin, W.M., and de Souza, P.A., 2016, High concentrations of manganese and sulfur in deposits on Murray Ridge, Endeavour Crater, Mars: American Mineralogist, v. 101, no. 6, p. 1389-1405, https://doi.org/10.2138/am-2016-5599.","productDescription":"17 p.","startPage":"1389","endPage":"1405","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069984","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470822,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2016-5599","text":"Publisher Index Page"},{"id":324504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"577391a5e4b07657d1a88bcc","contributors":{"authors":[{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":623006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Squyres, Steven W.","contributorId":10537,"corporation":false,"usgs":true,"family":"Squyres","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":623007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Richard V.","contributorId":167513,"corporation":false,"usgs":false,"family":"Morris","given":"Richard V.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":623008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knoll, Andrew H.","contributorId":167647,"corporation":false,"usgs":false,"family":"Knoll","given":"Andrew","email":"","middleInitial":"H.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":623009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":623010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, Benton C.","contributorId":127516,"corporation":false,"usgs":false,"family":"Clark","given":"Benton C.","affiliations":[{"id":7038,"text":"Space Science Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":623011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Catalano, Jeffrey G.","contributorId":167648,"corporation":false,"usgs":false,"family":"Catalano","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":623012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jolliff, Bradley L.","contributorId":40040,"corporation":false,"usgs":true,"family":"Jolliff","given":"Bradley","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":623013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McLennan, Scott M.","contributorId":95388,"corporation":false,"usgs":true,"family":"McLennan","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623014,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":623015,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"VanBommel, Scott","contributorId":167649,"corporation":false,"usgs":false,"family":"VanBommel","given":"Scott","email":"","affiliations":[{"id":24733,"text":"Department of Physics, University of Guelph","active":true,"usgs":false}],"preferred":false,"id":622180,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mittelfehldt, David W.","contributorId":167515,"corporation":false,"usgs":false,"family":"Mittelfehldt","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":623016,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grotzinger, John P.","contributorId":22247,"corporation":false,"usgs":true,"family":"Grotzinger","given":"John P.","affiliations":[],"preferred":false,"id":623017,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Guinness, Edward A.","contributorId":167650,"corporation":false,"usgs":false,"family":"Guinness","given":"Edward","email":"","middleInitial":"A.","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":623018,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Johnson, Jeffrey R.","contributorId":71688,"corporation":false,"usgs":true,"family":"Johnson","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":623019,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bell, James F. III","contributorId":12737,"corporation":false,"usgs":true,"family":"Bell","given":"James","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":623020,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Farrand, William H.","contributorId":167514,"corporation":false,"usgs":false,"family":"Farrand","given":"William H.","affiliations":[{"id":24736,"text":"Space Science Institute, Boulder, Colo.","active":true,"usgs":false}],"preferred":false,"id":623021,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stein, Nathan","contributorId":167651,"corporation":false,"usgs":false,"family":"Stein","given":"Nathan","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":623022,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Fox, Valerie K.","contributorId":167652,"corporation":false,"usgs":false,"family":"Fox","given":"Valerie","email":"","middleInitial":"K.","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":623023,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Golombek, Matthew P.","contributorId":93180,"corporation":false,"usgs":true,"family":"Golombek","given":"Matthew P.","affiliations":[],"preferred":false,"id":623024,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hinkle, Margaret A. G.","contributorId":167653,"corporation":false,"usgs":false,"family":"Hinkle","given":"Margaret","email":"","middleInitial":"A. G.","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":623025,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Calvin, Wendy M.","contributorId":93508,"corporation":false,"usgs":true,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623026,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"de Souza, Paulo A. Jr.","contributorId":167654,"corporation":false,"usgs":false,"family":"de Souza","given":"Paulo","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623027,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70170850,"text":"70170850 - 2016 - Impact of formation water geochemistry and crude oil biodegradation on microbial methanogenesis","interactions":[],"lastModifiedDate":"2016-06-28T11:41:03","indexId":"70170850","displayToPublicDate":"2016-06-28T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Impact of formation water geochemistry and crude oil biodegradation on microbial methanogenesis","docAbstract":"

Converting non-producible crude oil to CH4 via methanogenic crude oil biodegradation in oil reservoirs could serve as one way to increase our energy profile. Yet, field data supporting the direct relationship between methanogenesis and crude oil biodegradation are sparse. Indicators of methanogenesis, based on the formation water and gas geochemistry (e.g. alkalinity, δ13C–CO2) were compared with indicators of crude oil biodegradation (e.g. pristane/phytane and n-alkane ratios) from wells in the Wilcox Group of Louisiana to determine if increases in extent of methanogenesis were related to increases in extent of crude oil biodegradation.

\n

Shallow wells (393–442 m depth) contained highly biodegraded oils associated with low extent of methanogenesis, while the deepest (> 1208 m) wells contained minimally degraded oils and produced fluids suggesting a low extent of methanogenesis. Mid-depth wells (666–857 m) in the central field had the highest indicators of methanogenesis and contained moderately biodegraded oils. Little correlation existed between extents of crude oil biodegradation and methanogenesis across the whole transect (avg.R2 = 0.13). However, when wells with the greatest extent of crude oil biodegradation were eliminated (3 of 6 oilfields), better correlation between extent of methanogenesis and biodegradation (avg. R2 = 0.53) was observed. The results suggest that oil quality and salinity impact methanogenic crude oil biodegradation. Reservoirs indicating moderate extent of crude oil biodegradation and high extent of methanogenesis, such as the central field, would be good candidates for attempting to enhance methanogenic crude oil biodegradation as a result of the observations from the study.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2016.05.008","usgsCitation":"Shelton, J., McIntosh, J.C., Warwick, P.D., and McCray, J.E., 2016, Impact of formation water geochemistry and crude oil biodegradation on microbial methanogenesis: Organic Geochemistry, v. 98, p. 105-117, https://doi.org/10.1016/j.orggeochem.2016.05.008.","productDescription":"13 p.","startPage":"105","endPage":"117","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073458","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.orggeochem.2016.05.008","text":"Publisher Index Page"},{"id":324501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577391a5e4b07657d1a88bce","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":628816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":628817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":628818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCray, John E.","contributorId":139258,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":628819,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208728,"text":"70208728 - 2016 - An association between a cusk eel (Bassozetus sp.) and a black coral (Schizopathes sp.) in the deep western Indian Ocean","interactions":[],"lastModifiedDate":"2020-02-27T06:48:41","indexId":"70208728","displayToPublicDate":"2016-06-28T06:46:24","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3883,"text":"Marine Biodiversity Records","active":true,"publicationSubtype":{"id":10}},"title":"An association between a cusk eel (Bassozetus sp.) and a black coral (Schizopathes sp.) in the deep western Indian Ocean","docAbstract":"Detailed observations in the deep sea can reveal previously unknown behaviour, species interactions and fine-scale habitat heterogeneity. Here, the first in situ images of the black coral Schizopathes sp. (Anthozoa: Antipatharia) in the deep western Indian Ocean have been obtained from remotely operated vehicle video footage and time-lapse photography. In these images, there appears to be an association with the cusk eel Bassozetus (Family: Ophidiidae). In the primary observation, chance encounters revealed the fish interacted with the anitpatharian on multiple occasions over several days. Subsequent time-lapse camera footage showed the fish remained almost exclusively underneath the antipatharian for the duration of a 30-h deployment. Excursions from the cover of the antipatharian were for less than 2 min. The primary observation is supported by two similar encounters in the same region. Observed reduction in the tail-beat frequency of the fish under the antipatharian suggests reduced energy requirements for the ophidiid in this position. The observations demonstrate the role that even individual coral colonies play as a source of three-dimensional structure, providing habitat heterogeneity in the deep sea.","language":"English","publisher":"Springer","doi":"10.1007/s12526-016-0516-z","usgsCitation":"Gates, A.R., Morris, K., Jones, D.O., and Sulak, K.J., 2016, An association between a cusk eel (Bassozetus sp.) and a black coral (Schizopathes sp.) in the deep western Indian Ocean: Marine Biodiversity Records, v. 47, no. 3, p. 971-977, https://doi.org/10.1007/s12526-016-0516-z.","productDescription":"7 p.","startPage":"971","endPage":"977","ipdsId":"IP-069269","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470826,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1007/s12526-016-0516-z>).","text":"External Repository"},{"id":372677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Indian Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 55.1953125,\n -41.244772343082076\n ],\n [\n 112.5,\n -41.244772343082076\n ],\n [\n 112.5,\n 10.833305983642491\n ],\n [\n 55.1953125,\n 10.833305983642491\n ],\n [\n 55.1953125,\n -41.244772343082076\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Gates, Andrew R.","contributorId":222788,"corporation":false,"usgs":false,"family":"Gates","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":40603,"text":"National Oceanography Centre, University of Southampton Waterfront Campus","active":true,"usgs":false}],"preferred":false,"id":783187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Kirsty","contributorId":222789,"corporation":false,"usgs":false,"family":"Morris","given":"Kirsty","email":"","affiliations":[{"id":40603,"text":"National Oceanography Centre, University of Southampton Waterfront Campus","active":true,"usgs":false}],"preferred":false,"id":783188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Daniel O.B.","contributorId":222790,"corporation":false,"usgs":false,"family":"Jones","given":"Daniel","email":"","middleInitial":"O.B.","affiliations":[{"id":40603,"text":"National Oceanography Centre, University of Southampton Waterfront Campus","active":true,"usgs":false}],"preferred":false,"id":783189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sulak, Kenneth J. 0000-0002-4795-9310 ksulak@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-9310","contributorId":2217,"corporation":false,"usgs":true,"family":"Sulak","given":"Kenneth","email":"ksulak@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":783186,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182791,"text":"70182791 - 2016 - Regional differences in upland forest to developed (urban) land cover conversions in the conterminous U.S., 1973–2011","interactions":[],"lastModifiedDate":"2024-06-17T16:52:26.70865","indexId":"70182791","displayToPublicDate":"2016-06-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Regional differences in upland forest to developed (urban) land cover conversions in the conterminous U.S., 1973–2011","docAbstract":"

In this U.S. Geological Survey study of forest land cover across the conterminous U.S. (CONUS), specific proportions and rates of forest conversion to developed (urban) land were assessed on an ecoregional basis. The study period was divided into six time intervals between 1973 and 2011. Forest land cover was the source of 40% or more of the new urban land in 35 of the 84 ecoregions located within the CONUS. In 11 of these ecoregions this threshold exceeded in every time interval. When the percent of change, forest to urban, was compared to the percent of forest in each ecoregion, 58 ecoregions had a greater percent of change and, in six of those, change occurred in every time interval. Annual rates of forest to urban land cover change of 0.2% or higher occurred in 12 ecoregions at least once and in one ecoregion in all intervals. There were three ecoregions where the above conditions were met for nearly every time interval. Even though only a small number of the ecoregions were heavily impacted by forest loss to urban development within the CONUS, the ecosystem services provided by undeveloped forest land cover need to be quantified more completely to better inform future regional land management.

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(Geography)","active":false,"usgs":true}],"preferred":true,"id":690374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Janis 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":3869,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis ","email":"jltaylor@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":690375,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170928,"text":"sir20165050 - 2016 - Estimation of peak discharge quantiles for selected annual exceedance probabilities in northeastern Illinois","interactions":[],"lastModifiedDate":"2024-09-18T14:34:15.573847","indexId":"sir20165050","displayToPublicDate":"2016-06-28T00:00:00","publicationYear":"2016","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":"2016-5050","displayTitle":"Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois","title":"Estimation of peak discharge quantiles for selected annual exceedance probabilities in northeastern Illinois","docAbstract":"

This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used in the study. The resulting equations can be used to adjust rural peak discharge quantiles for the effect of urbanization, and in this study the equations also were used to adjust the annual maximum peak discharges from the study watersheds to 2010 urbanization conditions.

The other set of equations was developed by a spatial analysis. This analysis used generalized least-squares regression to fit the peak discharge quantiles computed from the urbanization-adjusted annual maximum peak discharges from the study watersheds to drainage-basin characteristics. The peak discharge quantiles were computed by using the Expected Moments Algorithm following the removal of potentially influential low floods defined by a multiple Grubbs-Beck test. To improve the quantile estimates, regional skew coefficients were obtained from a newly developed regional skew model in which the skew increases with the urbanized land use fraction. The skew coefficient values for each streamgage were then computed as the variance-weighted average of at-site and regional skew coefficients. The drainage-basin characteristics used as explanatory variables in the spatial analysis include drainage area, the fraction of developed land, the fraction of land with poorly drained soils or likely water, and the basin slope estimated as the ratio of the basin relief to basin perimeter.

This report also provides the following: (1) examples to illustrate the use of the spatial and urbanization-adjustment equations for estimating peak discharge quantiles at ungaged sites and to improve flood-quantile estimates at and near a gaged site; (2) the urbanization-adjusted annual maximum peak discharges and peak discharge quantile estimates at streamgages from 181 watersheds including the 117 study watersheds and 64 additional watersheds in the study region that were originally considered for use in the study but later deemed to be redundant.

The urbanization-adjustment equations, spatial regression equations, and peak discharge quantile estimates developed in this study will be made available in the web application StreamStats, which provides automated regression-equation solutions for user-selected stream locations. Figures and tables comparing the observed and urbanization-adjusted annual maximum peak discharge records by streamgage are provided at https://doi.org/10.3133/sir20165050 for download.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165050","collaboration":"Prepared in cooperation with the Illinois Center for Transportation, the Illinois Department of Transportation, and the Federal Highway Administration","usgsCitation":"Over, T.M., Saito, R.J., Veilleux, A.G., O’Shea, P.S., Sharpe, J.B., Soong, D.T., and Ishii, A.L., 2016, Estimation of peak discharge quantiles for selected annual exceedance probabilities in northeastern Illinois (ver. 3.0, June 2021): U.S. Geological Survey Scientific Investigations Report 2016–5050, 50 p. with appendix, https://doi.org/10.3133/sir20165050.","productDescription":"Report: x, 51 p.; Tables; Companion Files; Version History","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-072125","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":386876,"rank":13,"type":{"id":25,"text":"Version 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probability"},{"id":386856,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_table_04.csv","text":"Table 4","size":"9.96 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016–5050 Table 4","linkHelpText":"— Segment information for 181 U.S. Geological Survey streamgages used in this study, northeastern Illinois and adjacent states"},{"id":386855,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_table_03.csv","text":"Table 3","size":"7.02 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016–5050 Table 3","linkHelpText":"— Spatially averaged basin characteristics considered for developing spatial regression equations in this study in northeastern Illinois"},{"id":386854,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_table_02.csv","text":"Table 2","size":"104 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016–5050 Table 2","linkHelpText":"— Estimated peak discharge quantiles for 181 streamgages in northeastern Illinois and adjacent states, at selected exceedance probabilities"},{"id":386853,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_table_01.csv","text":"Table 1","size":"29.2 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016–5050 Table 1","linkHelpText":"— U.S. Geological Survey streamgages used in this study in northeastern Illinois and adjacent states"},{"id":386852,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050.pdf","text":"Report","size":"6.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5050"},{"id":324328,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_Links_To_Files.html","text":"Annual maximum peak discharge and associated urban fraction and precipitation values by streamgage","size":"29 kB","linkFileType":{"id":5,"text":"html"},"description":"SIR 2016–5050 Supplemental Graphs and Tables"},{"id":386861,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_tables.xlsx","text":"Tables 1 through 4, 6, 8 and 13 and Table 1–1","size":"673 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5050 Tables"},{"id":386860,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_appendix_table_1.1.csv","text":"Table 1.1","size":"7.58 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016–5050 Table 1.1","linkHelpText":"— Skew statistics at streamgages used in the development of the regional skew model in this study in northeastern Illinois"},{"id":386857,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5050/sir20165050_table_06.csv","text":"Table 6","size":"345 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016–5050 Table 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Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin Avenue
Urbana, IL 61801

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-06-28","revisedDate":"2021-06-30","noUsgsAuthors":false,"publicationDate":"2016-06-28","publicationStatus":"PW","scienceBaseUri":"577391a3e4b07657d1a88bc4","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saito, Riki J. rsaito@usgs.gov","contributorId":169269,"corporation":false,"usgs":true,"family":"Saito","given":"Riki","email":"rsaito@usgs.gov","middleInitial":"J.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":629130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":629129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Shea, Padraic S. 0000-0001-9005-8289 poshea@usgs.gov","orcid":"https://orcid.org/0000-0001-9005-8289","contributorId":196742,"corporation":false,"usgs":true,"family":"O’Shea","given":"Padraic","email":"poshea@usgs.gov","middleInitial":"S.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":169268,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","email":"dsoong@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":629127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ishii, Audrey L. alishii@usgs.gov","contributorId":1818,"corporation":false,"usgs":true,"family":"Ishii","given":"Audrey L.","email":"alishii@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":629126,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189572,"text":"70189572 - 2016 - Reconsidering earthquake scaling","interactions":[],"lastModifiedDate":"2017-07-18T08:42:45","indexId":"70189572","displayToPublicDate":"2016-06-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reconsidering earthquake scaling","docAbstract":"

The relationship (scaling) between scalar moment, M0, and duration, T, potentially provides key constraints on the physics governing fault slip. The prevailing interpretation of M0-T observations proposes different scaling for fast (earthquakes) and slow (mostly aseismic) slip populations and thus fundamentally different driving mechanisms. We show that a single model of slip events within bounded slip zones may explain nearly all fast and slow slip M0-T observations, and both slip populations have a change in scaling, where the slip area growth changes from 2-D when too small to sense the boundaries to 1-D when large enough to be bounded. We present new fast and slow slip M0-T observations that sample the change in scaling in each population, which are consistent with our interpretation. We suggest that a continuous but bimodal distribution of slip modes exists and M0-T observations alone may not imply a fundamental difference between fast and slow slip.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL069967","usgsCitation":"Gomberg, J.S., Wech, A.G., Creager, K., Obara, K., and Agnew, D., 2016, Reconsidering earthquake scaling: Geophysical Research Letters, v. 43, no. 12, p. 6243-6251, https://doi.org/10.1002/2016GL069967.","productDescription":"9 p.","startPage":"6243","endPage":"6251","ipdsId":"IP-065616","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":500016,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/bb761be9ddba4e658205300bdcc9cf2b","text":"External Repository"},{"id":343967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"596f1e26e4b0d1f9f064076a","contributors":{"authors":[{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":705269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Creager, Kenneth","contributorId":194763,"corporation":false,"usgs":false,"family":"Creager","given":"Kenneth","affiliations":[],"preferred":false,"id":705270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Obara, K.","contributorId":194775,"corporation":false,"usgs":false,"family":"Obara","given":"K.","affiliations":[],"preferred":false,"id":705305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agnew, Duncan 0000-0002-2360-7783","orcid":"https://orcid.org/0000-0002-2360-7783","contributorId":178605,"corporation":false,"usgs":false,"family":"Agnew","given":"Duncan","email":"","affiliations":[],"preferred":false,"id":705271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174060,"text":"ofr20161109 - 2016 - Jaguar taxonomy and genetic diversity for southern Arizona, United States, and Sonora, Mexico","interactions":[],"lastModifiedDate":"2016-06-29T09:34:58","indexId":"ofr20161109","displayToPublicDate":"2016-06-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1109","title":"Jaguar taxonomy and genetic diversity for southern Arizona, United States, and Sonora, Mexico","docAbstract":"

Executive Summary

The jaguar is the largest Neotropical felid and the only extant representative of the genus Panthera in the Americas. In recorded history, the jaguars range has extended from the Southern United States, throughout Mexico, to Central and South America, and they occupy a wide variety of habitats. A previous jaguar genetic study found high historical levels of gene flow among jaguar populations over broad areas but did not include any samples of jaguar from the States of Arizona, United States, or Sonora, Mexico. Arizona and Sonora have been part of the historical distribution of jaguars; however, poaching and habitat fragmentation have limited their distribution until they were declared extinct in the United States and endangered in Sonora. Therefore, a need was apparent to have this northernmost (Arizona/Sonora) jaguar population included in an overall jaguar molecular taxonomy and genetic diversity analyses. In this study, we used molecular genetic markers to examine diversity and taxonomy for jaguars in the Northwestern Jaguar Recovery Unit (NJRU; Sonora, Sinaloa, and Jalisco, Mexico; and southern Arizona and New Mexico, United States) relative to jaguars in other parts of the jaguar range (Central and South America). The objectives of this study were to:

  1. Collect opportunistic jaguar samples (hide, blood, hair, saliva, and scat), from historical and current individuals, that originated in NJRU areas of Arizona, New Mexico, and Sonora;
  2. Use these samples to assess molecular taxonomy of NJRU jaguars compared to data from a previous study of jaguars rangewide; and
  3. Develop suggestions for conservation of NJRU jaguars based on the results.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161109","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Culver, Melanie and Hein, A.O., 2016, Jaguar taxonomy and genetic diversity for southern Arizona, United States, and Sonora, Mexico: U.S. Geological Survey Open-File Report 2016-1109, 20 p., https://dx.doi.org/10.3133/ofr20161109.","productDescription":"iv, 20 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075858","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1109/coverthb.jpg"},{"id":324561,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1109/ofr20161109.pdf","text":"Report","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1109"}],"country":"Mexico, United States","state":"Arizona, Jalisco, New Mexico, Sonora, Sinaloa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.61083984375,\n 32.379961464357315\n ],\n [\n -108.61083984375,\n 29.821582720575016\n ],\n [\n -108.369140625,\n 28.401064827220896\n ],\n [\n -106.69921875,\n 25.681137335685307\n ],\n [\n -103.53515625,\n 21.022982546427436\n ],\n [\n -102.76611328125,\n 19.20742852680121\n ],\n [\n -103.71093749999999,\n 18.62542454070125\n ],\n [\n -105.00732421875,\n 19.290405639497994\n ],\n [\n -105.6884765625,\n 20.427012814257385\n ],\n [\n -105.22705078125,\n 21.227941905058174\n ],\n [\n -105.6884765625,\n 22.024545601240337\n ],\n [\n -107.16064453125,\n 24.126701958681682\n ],\n [\n -109.16015624999999,\n 26.37218544169559\n ],\n [\n -110.45654296875,\n 27.800209937418252\n ],\n [\n -111.77490234375,\n 32.509761735919426\n ],\n [\n -108.61083984375,\n 32.379961464357315\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Leader, Arizona Cooperative Fish and Wildlife Research Unit
U.S. Geological Survey
325 Biosciences East
Tucson, Arizona 85721
http://www.coopunits.org/Arizona/

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-06-28","noUsgsAuthors":false,"publicationDate":"2016-06-28","publicationStatus":"PW","scienceBaseUri":"577391a6e4b07657d1a88bd2","contributors":{"authors":[{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":640755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, Alexander Ochoa","contributorId":172537,"corporation":false,"usgs":true,"family":"Hein","given":"Alexander","email":"","middleInitial":"Ochoa","affiliations":[],"preferred":false,"id":640756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174171,"text":"70174171 - 2016 - Loss of genetic diversity and increased subdivision in an endemic Alpine Stonefly threatened by climate change","interactions":[],"lastModifiedDate":"2016-11-15T13:59:21","indexId":"70174171","displayToPublicDate":"2016-06-28T00:00:00","publicationYear":"2016","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":"Loss of genetic diversity and increased subdivision in an endemic Alpine Stonefly threatened by climate change","docAbstract":"

Much remains unknown about the genetic status and population connectivity of high-elevation and high-latitude freshwater invertebrates, which often persist near snow and ice masses that are disappearing due to climate change. Here we report on the conservation genetics of the meltwater stonefly Lednia tumana (Ricker) of Montana, USA, a cold-water obligate species. We sequenced 1530 bp of mtDNA from 116 L. tumana individuals representing “historic” (>10 yr old) and 2010 populations. The dominant haplotype was common in both time periods, while the second-most-common haplotype was found only in historic samples, having been lost in the interim. The 2010 populations also showed reduced gene and nucleotide diversity and increased genetic isolation. We found lower genetic diversity in L. tumana compared to two other North American stonefly species, Amphinemura linda (Ricker) and Pteronarcys californica Newport. Our results imply small effective sizes, increased fragmentation, limited gene flow, and loss of genetic variation among contemporary L. tumana populations, which can lead to reduced adaptive capacity and increased extinction risk. This study reinforces concerns that ongoing glacier loss threatens the persistence of L. tumana, and provides baseline data and analysis of how future environmental change could impact populations of similar organisms.

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0157386","usgsCitation":"Jordan, S., Giersch, J., Muhlfeld, C.C., Hotalling, S., Fanning, L., Tappenbeck, T.H., and Luikart, G., 2016, Loss of genetic diversity and increased subdivision in an endemic Alpine Stonefly threatened by climate change: PLoS ONE, v. 11, no. 6, e0157386; 12 p., https://doi.org/10.1371/journal.pone.0157386.","productDescription":"e0157386; 12 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069801","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0157386","text":"Publisher Index Page"},{"id":324527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.01562499999999,\n 49.009050809382046\n ],\n [\n -108.19335937499999,\n 48.99463598353405\n ],\n [\n -104.0625,\n 49.009050809382046\n ],\n [\n -104.0625,\n 44.99588261816546\n ],\n [\n -111.07177734375,\n 45.02695045318546\n ],\n [\n -111.07177734375,\n 44.49650533109345\n ],\n [\n -111.4013671875,\n 44.74673324024678\n ],\n [\n -111.46728515624999,\n 44.63739123445585\n ],\n [\n -111.55517578125,\n 44.55916341529182\n ],\n [\n -111.73095703125,\n 44.5278427984555\n ],\n [\n -112.0166015625,\n 44.5278427984555\n ],\n [\n -112.21435546875,\n 44.5435052132082\n ],\n [\n -112.39013671875,\n 44.449467536006935\n ],\n [\n -112.65380859375,\n 44.465151013519616\n ],\n [\n -112.8955078125,\n 44.37098696297173\n ],\n [\n -113.00537109375,\n 44.49650533109345\n ],\n [\n -113.09326171875,\n 44.6061127451739\n ],\n [\n -113.18115234375,\n 44.762336674810996\n ],\n [\n -113.48876953125,\n 44.809121700077355\n ],\n [\n -113.51074218749999,\n 44.99588261816546\n ],\n [\n -113.62060546875,\n 45.19752230305682\n ],\n [\n -113.73046875,\n 45.30580259943578\n ],\n [\n -113.7744140625,\n 45.506346901083425\n ],\n [\n -113.88427734374999,\n 45.61403741135093\n ],\n [\n -114.01611328125,\n 45.67548217560647\n ],\n [\n -114.12597656249999,\n 45.598665689820635\n ],\n [\n -114.2578125,\n 45.55252525134013\n ],\n [\n -114.3017578125,\n 45.49094569262732\n ],\n [\n -114.45556640625,\n 45.55252525134013\n ],\n [\n -114.54345703125,\n 45.644768217751924\n ],\n [\n -114.54345703125,\n 45.78284835197676\n ],\n [\n -114.45556640625,\n 45.81348649679971\n ],\n [\n -114.43359375,\n 45.920587344733654\n ],\n [\n -114.49951171875,\n 46.027481852486645\n ],\n [\n -114.49951171875,\n 46.164614496897094\n ],\n [\n -114.36767578124999,\n 46.27103747280261\n ],\n [\n -114.36767578124999,\n 46.37725420510028\n ],\n [\n -114.45556640625,\n 46.52863469527167\n ],\n [\n -114.47753906249999,\n 46.649436163350245\n ],\n [\n -114.63134765625001,\n 46.73986059969267\n ],\n [\n -114.7412109375,\n 46.73986059969267\n ],\n [\n -114.80712890625,\n 46.86019101567027\n ],\n [\n -114.9609375,\n 46.965259400349275\n ],\n [\n -115.24658203125,\n 47.15984001304432\n ],\n [\n -115.3564453125,\n 47.2195681123155\n ],\n [\n -115.48828125000001,\n 47.30903424774781\n ],\n [\n -115.7080078125,\n 47.44294999517949\n ],\n [\n -115.7080078125,\n 47.54687159892238\n ],\n [\n -115.77392578125,\n 47.65058757118734\n ],\n [\n -115.90576171874999,\n 47.79839667295524\n ],\n [\n -116.05957031249999,\n 47.945786463687185\n ],\n [\n -116.01562499999999,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"577391a6e4b07657d1a88bd4","contributors":{"authors":[{"text":"Jordan, Steve","contributorId":168297,"corporation":false,"usgs":false,"family":"Jordan","given":"Steve","email":"","affiliations":[{"id":25242,"text":"Department of Biology, Bucknell University, Lewisburg, Pennsylvania 17837, USA","active":true,"usgs":false}],"preferred":false,"id":641058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":641059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":641060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hotalling, Scott","contributorId":172501,"corporation":false,"usgs":false,"family":"Hotalling","given":"Scott","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":641061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, Liz","contributorId":172502,"corporation":false,"usgs":false,"family":"Fanning","given":"Liz","email":"","affiliations":[{"id":16651,"text":"Bucknell University","active":true,"usgs":false}],"preferred":false,"id":641062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tappenbeck, Tyler H.","contributorId":176876,"corporation":false,"usgs":false,"family":"Tappenbeck","given":"Tyler","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":653866,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":641063,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70174104,"text":"70174104 - 2016 - Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland","interactions":[],"lastModifiedDate":"2016-07-12T16:30:53","indexId":"70174104","displayToPublicDate":"2016-06-27T20:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland","docAbstract":"

Anthropogenic desertification is a problem that plagues drylands globally; however, the factors which maintain degraded states are often unclear. In Canyonlands National Park on the Colorado Plateau of southeastern Utah, many degraded grasslands have not recovered structure and function >40 yr after release from livestock grazing pressure, necessitating active restoration. We hypothesized that multiple factors contribute to the persistent degraded state, including lack of seed availability, surficial soil-hydrological properties, and high levels of spatial connectivity (lack of perennial vegetation and other surface structure to retain water, litter, seed, and sediment). In combination with seeding and surface raking treatments, we tested the effect of small barrier structures (“ConMods”) designed to disrupt the loss of litter, seed and sediment in degraded soil patches within the park. Grass establishment was highest when all treatments (structures, seed addition, and soil disturbance) were combined, but only in the second year after installation, following favorable climatic conditions. We suggest that multiple limiting factors were ameliorated by treatments, including seed limitation and microsite availability, seed removal by harvester ants, and stressful abiotic conditions. Higher densities of grass seedlings on the north and east sides of barrier structures following the summer months suggest that structures may have functioned as artificial “nurse-plants”, sheltering seedlings from wind and radiation as well as accumulating wind-blown resources. Barrier structures increased the establishment of both native perennial grasses and exotic annuals, although there were species-specific differences in mortality related to spatial distribution of seedlings within barrier structures. The unique success of all treatments combined, and even then only under favorable climatic conditions and in certain soil patches, highlights that restoration success (and potentially, natural regeneration) often is contingent on many interacting factors.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1354","usgsCitation":"Fick, S., Decker, C.E., Duniway, M.C., and Miller, M.E., 2016, Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland: Ecosphere, v. 7, no. 6, e01354; 16 p., https://doi.org/10.1002/ecs2.1354.","productDescription":"e01354; 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069023","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470829,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1354","text":"Publisher Index Page"},{"id":324488,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Needles District of Canyonlands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.7,\n 38.1\n ],\n [\n -109.7,\n 38.2\n ],\n [\n -109.8,\n 38.2\n ],\n [\n -109.8,\n 38.1\n ],\n [\n -109.7,\n 38.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"57724022e4b07657d1a793a3","contributors":{"authors":[{"text":"Fick, Stephen E.","contributorId":172490,"corporation":false,"usgs":false,"family":"Fick","given":"Stephen E.","affiliations":[{"id":27054,"text":"Department of Plant Sciences, University of California, Davis, CA, 95616 USA. E-mail: sfick@ucdavis.edu","active":true,"usgs":false}],"preferred":false,"id":640945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Cheryl E.","contributorId":86051,"corporation":false,"usgs":false,"family":"Decker","given":"Cheryl","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":640946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":640947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":640948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171552,"text":"sir20165080 - 2016 - Groundwater-flow model for the Wood River Valley aquifer system, south-central Idaho","interactions":[],"lastModifiedDate":"2016-08-22T09:04:33","indexId":"sir20165080","displayToPublicDate":"2016-06-27T17:00:00","publicationYear":"2016","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":"2016-5080","title":"Groundwater-flow model for the Wood River Valley aquifer system, south-central Idaho","docAbstract":"

A three-dimensional numerical model of groundwater flow was developed for the Wood River Valley (WRV) aquifer system, Idaho, to evaluate groundwater and surface-water availability at the regional scale. This mountain valley is located in Blaine County and has a drainage area of about 2,300 square kilometers (888 square miles). The model described in this report can serve as a tool for water-rights administration and water-resource management and planning. The model was completed with support from the Idaho Department of Water Resources, and is part of an ongoing U.S. Geological Survey effort to characterize the groundwater resources of the WRV. A highly reproducible approach was taken for constructing the WRV groundwater-flow model. The collection of datasets, source code, and processing instructions used to construct and analyze the model was distributed as an R statistical-computing and graphics package.

\n

Flow in the WRV aquifer was simulated using the MODFLOW-USG groundwater flow model. The transient flow model simulates groundwater flow between 1995 and 2010. The model uses a 100-meter (328-feet) uniform grid spacing with 54,922 active model cells distributed over three model layers. A confining unit in the south-central part of the Bellevue fan necessitated the use of a multi-layer model. Specified-flow boundaries were used to simulate the groundwater inflows from each of the major tributary basins (also known as tributary basin underflow) and the areal recharge of precipitation and applied irrigation. Head‑dependent flow boundaries were used to simulate the stream-aquifer flow exchange in river reaches and the groundwater discharge at the outlet boundaries of Stanton Crossing and Silver Creek. The model was calibrated by adjusting aquifer hydraulic properties to match simulated and measured water levels and stream-aquifer flow exchange, using the parameter-estimation program PEST. The model reasonably simulated the measured water-table elevation, orientation, and gradients. Stream-aquifer flow exchange along river reaches also was reasonably simulated by the model.

\n

Inflow into the WRV aquifer system originates from three sources (from largest to smallest):

\n
    \n
  1. Streamflow loss from the Big Wood River and Silver Creek,
    2. \n
  2. Areal recharge of precipitation and applied irrigation, and
    3. \n
  3. Tributary basin underflow.
    4. \n
\n

Outflow from the WRV aquifer system originates from five sources (from largest to smallest):

\n
    \n
  1. Aquifer discharge into the Big Wood River and Silver Creek,
    2. \n
  2. Production-well pumping,
    3. \n
  3. Discharge across the water table into the vadose zone,
    4. \n
  4. Subsurface outflow beneath Silver Creek near Picabo, and
    5. \n
  5. Subsurface outflow beneath the Big Wood River near Stanton Crossing.
    6. \n
\n

Temporal changes in aquifer storage are most affected by areal recharge and groundwater pumping, and also contribute to changes in streamflow gains.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165080","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Fisher, J.C., Bartolino, J.R., Wylie, A.H., Sukow, Jennifer, and McVay, Michael, 2016, Groundwater-flow model of the Wood River Valley aquifer system, south-central Idaho: U.S. Geological Survey Scientific Investigations Report 2016–5080, 71 p., https://dx.doi.org/10.3133/sir20165080.","productDescription":"Report: viii, 71 p.; Appendixes A-H; Model Archive; Data Repository","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039541","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":324425,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixE.pdf","text":"Appendix E","size":"6.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix E","linkHelpText":"Tributary Basin Underflow into the Wood River Valley Aquifer System, South-Central Idaho"},{"id":324424,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixD.pdf","text":"Appendix D","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix D","linkHelpText":"Uncalibrated Groundwater-Flow Model for the Wood River Valley Aquifer System, South-Central Idaho"},{"id":324426,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixF.pdf","text":"Appendix F","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix F","linkHelpText":"Natural Groundwater Recharge and Discharge in the Wood River Valley Aquifer System, South-Central Idaho"},{"id":324428,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixH.pdf","text":"Appendix H","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix H","linkHelpText":"Calibration of the Wood River Valley Groundwater Flow Model"},{"id":324427,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixG.pdf","text":"Appendix G","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix G","linkHelpText":"Incidental Groundwater Recharge and Pumping Demand in the Wood River Valley Aquifer System, South-Central Idaho"},{"id":324430,"rank":12,"type":{"id":7,"text":"Companion Files"},"url":"https://github.com/USGS-R/wrv","text":"R-package repository"},{"id":324423,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixC.pdf","text":"Appendix C","size":"6.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix C","linkHelpText":"Creating Datasets for the R-Package ‘wrv’"},{"id":324429,"rank":11,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.5066/F7C827DT","text":"Model Archive"},{"id":324419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5080/coverthb.jpg"},{"id":324420,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Report PDF"},{"id":324421,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixA.pdf","text":"Appendix A","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix A","linkHelpText":"An Introduction to the R-Package ‘wrv’"},{"id":324422,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5080/sir20165080_appendixB.pdf","text":"Appendix B","size":"525 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5080 Appendix B","linkHelpText":"Manual for Functions and Datasets in the R-Package ‘wrv’"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.47753906249999,\n 43.30119623257966\n ],\n [\n -114.47753906249999,\n 43.82065657651685\n ],\n [\n -114.04083251953124,\n 43.82065657651685\n ],\n [\n -114.04083251953124,\n 43.30119623257966\n ],\n [\n -114.47753906249999,\n 43.30119623257966\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-06-27","noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5772401fe4b07657d1a79377","contributors":{"authors":[{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":631755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":631754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Allan H.","contributorId":67176,"corporation":false,"usgs":true,"family":"Wylie","given":"Allan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":631756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sukow, Jennifer","contributorId":170003,"corporation":false,"usgs":false,"family":"Sukow","given":"Jennifer","email":"","affiliations":[{"id":7225,"text":"Idaho Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":631758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McVay, Michael","contributorId":170002,"corporation":false,"usgs":false,"family":"McVay","given":"Michael","email":"","affiliations":[{"id":7225,"text":"Idaho Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":631757,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174108,"text":"70174108 - 2016 - Threshold sensitivity of shallow Arctic lakes and sublake permafrost to changing winter climate","interactions":[],"lastModifiedDate":"2016-07-15T15:05:05","indexId":"70174108","displayToPublicDate":"2016-06-27T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Threshold sensitivity of shallow Arctic lakes and sublake permafrost to changing winter climate","docAbstract":"

Interactions and feedbacks between abundant surface waters and permafrost fundamentally shape lowland Arctic landscapes. Sublake permafrost is maintained when the maximum ice thickness (MIT) exceeds lake depth and mean annual bed temperatures (MABTs) remain below freezing. However, declining MIT since the 1970s is likely causing talik development below shallow lakes. Here we show high-temperature sensitivity to winter ice growth at the water-sediment interface of shallow lakes based on year-round lake sensor data. Empirical model experiments suggest that shallow (1 m depth) lakes have warmed substantially over the last 30 years (2.4°C), with MABT above freezing 5 of the last 7 years. This is in comparison to slower rates of warming in deeper (3 m) lakes (0.9°C), with already well-developed taliks. Our findings indicate that permafrost below shallow lakes has already begun crossing a critical thawing threshold approximately 70 years prior to predicted terrestrial permafrost thaw in northern Alaska.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL068506","usgsCitation":"Arp, C.D., Jones, B.M., Grosse, G., Bondurant, A.C., Romanovksy, V.E., Hinkel, K.M., and Parsekian, A.D., 2016, Threshold sensitivity of shallow Arctic lakes and sublake permafrost to changing winter climate: Geophysical Research Letters, v. 43, no. 12, p. 6358-6365, https://doi.org/10.1002/2016GL068506.","productDescription":"8 p.","startPage":"6358","endPage":"6365","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073772","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":470830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl068506","text":"Publisher Index Page"},{"id":324491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teshekpuk Lake, Umiat Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150,\n 69\n ],\n [\n -150,\n 72\n ],\n [\n -158,\n 72\n ],\n [\n -158,\n 69\n ],\n [\n -150,\n 69\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"57724023e4b07657d1a793b8","chorus":{"doi":"10.1002/2016gl068506","url":"http://dx.doi.org/10.1002/2016gl068506","publisher":"Wiley-Blackwell","authors":"Arp Christopher D., Jones Benjamin M., Grosse Guido, Bondurant Allen C., Romanovsky Vladimir E., Hinkel Kenneth M., Parsekian Andrew D.","journalName":"Geophysical Research Letters","publicationDate":"6/24/2016","publiclyAccessibleDate":"6/24/2016"},"contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":640934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":640933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":146182,"corporation":false,"usgs":false,"family":"Grosse","given":"Guido","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":640935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bondurant, Allen C.","contributorId":172493,"corporation":false,"usgs":false,"family":"Bondurant","given":"Allen","email":"","middleInitial":"C.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":640936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romanovksy, Vladimir E.","contributorId":172494,"corporation":false,"usgs":false,"family":"Romanovksy","given":"Vladimir","email":"","middleInitial":"E.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":640937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parsekian, Andrew D.","contributorId":23829,"corporation":false,"usgs":false,"family":"Parsekian","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":640939,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171556,"text":"sir20165079 - 2016 - A spatially explicit suspended-sediment load model for western Oregon","interactions":[],"lastModifiedDate":"2016-07-20T09:48:24","indexId":"sir20165079","displayToPublicDate":"2016-06-27T16:00:00","publicationYear":"2016","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":"2016-5079","title":"A spatially explicit suspended-sediment load model for western Oregon","docAbstract":"

We calibrated the watershed model SPARROW (Spatially Referenced Regressions on Watershed attributes) to give estimates of suspended-sediment loads for western Oregon and parts of northwestern California. Estimates of suspended-sediment loads were derived from a nonlinear least squares regression that related explanatory variables representing landscape and transport conditions to measured suspended-sediment loads at 68 measurement stations. The model gives estimates of model coefficients and their uncertainty within a spatial framework defined by the National Hydrography Dataset Plus hydrologic network. The resulting model explained 64 percent of the variability in suspended-sediment yield and had a root mean squared error value of 0.737. The predictor variables selected for the final model were (1) generalized lithologic province, (2) mean annual precipitation, and (3) burned area (by recent wildfire). Other landscape characteristics also were considered, but they were not significant predictors of sediment transport, were strongly correlated with another predictor variable, or were not as significant as the predictors selected for the final model.

\n

The northern Oregon coastal drainages had the highest predicted suspended sediment yields (median yield 475 kilograms per hectare per year) and the Klamath River Basin had the lowest (median yield 53 kilograms per hectare per year). Quaternary deposits were, on average, the largest contributor to incremental suspended-sediment yield even though this lithologic province only makes up 17 percent of the modeling domain. Coast Range sedimentary rocks and Coast Range volcanic rocks had high suspended-sediment yields whereas, in addition to the Klamath terrane, the Western Cascade and High Cascade lithologic provinces had low suspended-sediment yields. Precipitation and the area affected by recent wildfire both positively correlated with suspended-sediment load.

\n

Suspended-sediment transport rates predicted by this SPARROW model are less than historical (1956–73) and long‑term (thousands of years) geological rates. This difference likely results, in part, from biases in the data underlying the SPARROW model, probably resulting in predicted suspended-sediment estimates that underestimate actual transport rates. However, the differences also likely owe to natural and human-caused variation in suspended-sediment yields as they respond to changes in climate, vegetation, fire frequency, and land use. In particular, decreases in mean annual suspended-sediment yields within the Umpqua River Basin since 1956–73 may owe to less intense forest harvest, passage of the Oregon Forest Practices Act of 1971, and increased emphasis in habitat protection in recent decades. Such sensitivity may have implications for the spatial and temporal distributions of aquatic and riparian habitats.

\n

Knowledge of the regionally important patterns and factors in suspended-sediment sources and transport could support broad-scale, water-quality management objectives and priorities. Because of biases and limitations of this model, however, these results are most applicable for general comparisons and for broad areas such as large watersheds. For example, despite having similar area, precipitation, and land-use, the Umpqua River Basin generates 68 percent more suspended sediment than the Rogue River Basin, chiefly because of the large area of Coast Range sedimentary province in the Umpqua River Basin. By contrast, the Rogue River Basin contains a much larger area of Klamath terrane rocks, which produce significantly less suspended load, although recent fire disturbance (in 2002) has apparently elevated suspended sediment yields in the tributary Illinois River watershed. Fine-scaled analysis, however, will require more intensive, locally focused measurements.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165079","usgsCitation":"Wise, D.R., and O’Connor, J.E., 2016, A spatially explicit suspended-sediment load model for western Oregon: U.S. Geological Survey Scientific Investigations Report 2016–5079, 25 p., https://dx.doi.org/10.3133/sir20165079.","productDescription":"Report: v, 25 p.; Appendix A; Companion File","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064150","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":324455,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5079/coverthb.jpg"},{"id":324458,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2016/5079/sir20165079_NHDV2_predict_data.txt","text":"Mean annual suspended loads estimated by the SPARROW model","size":"1 MB","linkFileType":{"id":2,"text":"txt"}},{"id":324456,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5079/sir20165079.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5079 Report PDF"},{"id":324457,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5079/sir20165079_appendixa.xlsx","text":"Appendix A ","size":"23 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5079 Appendix A","linkHelpText":"Summary of Calibration Data for the Suspended Sediment Sparrow Model Developed for Western Oregon and Northwestern California"}],"contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-06-27","noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5772401de4b07657d1a79368","contributors":{"authors":[{"text":"Wise, Daniel R. 0000-0002-1215-9612 dawise@usgs.gov","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":29891,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connor, Jim oconnor@usgs.gov","contributorId":2350,"corporation":false,"usgs":true,"family":"O’Connor","given":"Jim","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631777,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173716,"text":"sir20165083 - 2016 - Estimating peak-flow frequency statistics for selected gaged and ungaged sites in naturally flowing streams and rivers in Idaho","interactions":[],"lastModifiedDate":"2017-04-27T09:27:03","indexId":"sir20165083","displayToPublicDate":"2016-06-27T15:45:00","publicationYear":"2016","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":"2016-5083","title":"Estimating peak-flow frequency statistics for selected gaged and ungaged sites in naturally flowing streams and rivers in Idaho","docAbstract":"

The U.S. Geological Survey, in cooperation with the Idaho Transportation Department, updated regional regression equations to estimate peak-flow statistics at ungaged sites on Idaho streams using recent streamflow (flow) data and new statistical techniques. Peak-flow statistics with 80-, 67-, 50-, 43-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (1.25-, 1.50-, 2.00-, 2.33-, 5.00-, 10.0-, 25.0-, 50.0-, 100-, 200-, and 500-year recurrence intervals, respectively) were estimated for 192 streamgages in Idaho and bordering States with at least 10 years of annual peak-flow record through water year 2013. The streamgages were selected from drainage basins with little or no flow diversion or regulation. The peak-flow statistics were estimated by fitting a log-Pearson type III distribution to records of annual peak flows and applying two additional statistical methods: (1) the Expected Moments Algorithm to help describe uncertainty in annual peak flows and to better represent missing and historical record; and (2) the generalized Multiple Grubbs Beck Test to screen out potentially influential low outliers and to better fit the upper end of the peak-flow distribution. Additionally, a new regional skew was estimated for the Pacific Northwest and used to weight at-station skew at most streamgages. The streamgages were grouped into six regions (numbered 1_2, 3, 4, 5, 6_8, and 7, to maintain consistency in region numbering with a previous study), and the estimated peak-flow statistics were related to basin and climatic characteristics to develop regional regression equations using a generalized least squares procedure. Four out of 24 evaluated basin and climatic characteristics were selected for use in the final regional peak-flow regression equations.

Overall, the standard error of prediction for the regional peak-flow regression equations ranged from 22 to 132 percent. Among all regions, regression model fit was best for region 4 in west-central Idaho (average standard error of prediction=46.4 percent; pseudo-R2>92 percent) and region 5 in central Idaho (average standard error of prediction=30.3 percent; pseudo-R2>95 percent). Regression model fit was poor for region 7 in southern Idaho (average standard error of prediction=103 percent; pseudo-R2<78 percent) compared to other regions because few streamgages in region 7 met the criteria for inclusion in the study, and the region’s semi-arid climate and associated variability in precipitation patterns causes substantial variability in peak flows.

A drainage area ratio-adjustment method, using ratio exponents estimated using generalized least-squares regression, was presented as an alternative to the regional regression equations if peak-flow estimates are desired at an ungaged site that is close to a streamgage selected for inclusion in this study. The alternative drainage area ratio-adjustment method is appropriate for use when the drainage area ratio between the ungaged and gaged sites is between 0.5 and 1.5.

The updated regional peak-flow regression equations had lower total error (standard error of prediction) than all regression equations presented in a 1982 study and in four of six regions presented in 2002 and 2003 studies in Idaho. A more extensive streamgage screening process used in the current study resulted in fewer streamgages used in the current study than in the 1982, 2002, and 2003 studies. Fewer streamgages used and the selection of different explanatory variables were likely causes of increased error in some regions compared to previous studies, but overall, regional peak‑flow regression model fit was generally improved for Idaho. The revised statistical procedures and increased streamgage screening applied in the current study most likely resulted in a more accurate representation of natural peak-flow conditions.

The updated, regional peak-flow regression equations will be integrated in the U.S. Geological Survey StreamStats program to allow users to estimate basin and climatic characteristics and peak-flow statistics at ungaged locations of interest. StreamStats estimates peak-flow statistics with quantifiable certainty only when used at sites with basin and climatic characteristics within the range of input variables used to develop the regional regression equations. Both the regional regression equations and StreamStats should be used to estimate peak-flow statistics only in naturally flowing, relatively unregulated streams without substantial local influences to flow, such as large seeps, springs, or other groundwater-surface water interactions that are not widespread or characteristic of the respective region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165083","collaboration":"Prepared in cooperation with Idaho Transportation Department","usgsCitation":"Wood, M.S., Fosness, R.L., Skinner, K.D., and Veilleux, A.G., 2016, Estimating peak-flow frequency statistics for selected gaged and ungaged sites in naturally flowing streams and rivers in Idaho (ver. 1.1, April 2017): U.S. Geological Survey Scientific Investigations Report 2016–5083, 56 p., https://doi.org/10.3133/sir20165083.","productDescription":"Report: vi, 56 p.; Appendix A","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046287","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":324444,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5083/sir20165083.pdf","text":"Report","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5083 Report PDF"},{"id":324443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5083/coverthb2.jpg"},{"id":324460,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5083/sir20165083_appendixa.xlsx","text":"Appendix A ","size":"145 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5083 Appendix A","linkHelpText":"Supplemental Information for the Development of Regional Peak-Flow Regression Equations in Idaho"},{"id":340486,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5083/versionHist.txt","description":"SIR 2016-5083 Version History"}],"country":"United 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\"}}]}","edition":"Version 1.0: Originally posted June 27, 2016; Version 1.1: April 26, 2017","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
https://id.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-06-27","revisedDate":"2017-04-26","noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5772401fe4b07657d1a79370","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":637745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":637748,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174074,"text":"70174074 - 2016 - The role of habitat filtering in the leaf economics spectrum and plant susceptibility to pathogen infection","interactions":[],"lastModifiedDate":"2016-10-21T13:33:48","indexId":"70174074","displayToPublicDate":"2016-06-27T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The role of habitat filtering in the leaf economics spectrum and plant susceptibility to pathogen infection","docAbstract":"

1.The Leaf Economics Spectrum (LES) describes global covariation in the traits of plant leaves. The LES is thought to arise from biophysical constraints and habitat filtering (ecological selection against unfit trait combinations along environmental gradients). However, the role of habitat filtering in generating the LES has not been tested experimentally.

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2.If the process of habitat filtering plays a role in generating the LES, the LES could weaken in communities that have yet to be filtered by the current environment, for example after abiotic environmental change. LES traits are commonly used to predict community and ecosystem processes, and if the LES weakens in unfiltered communities, LES-based models may no longer apply.

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3.In the greenhouse, we experimentally simulated three stages of habitat filtering in response to abiotic change: from unfiltered, to semi-filtered, to completely filtered communities. In each stage, we quantified the strength of the LES and assessed the accuracy of trait-based models of an important ecological process, pathogen infection.

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4.The strength of the LES increased with the completeness of habitat filtering, as did the accuracy of trait-based models of plant susceptibility to pathogen infection.

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5.Synthesis. Our results suggest that habitat filtering plays a fundamental role in strengthening the trait correlations of the LES, and that trait-based models may be less accurate when communities have not been filtered by the current environment, for example, following rapid environmental change.

","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.12632","usgsCitation":"Welsh, M.E., Cronin, J.P., and Mitchell, C., 2016, The role of habitat filtering in the leaf economics spectrum and plant susceptibility to pathogen infection: Journal of Ecology, v. 104, no. 6, p. 1768-1777, https://doi.org/10.1111/1365-2745.12632.","productDescription":"10 p.","startPage":"1768","endPage":"1777","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065238","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12632","text":"Publisher Index Page"},{"id":324433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-02","publicationStatus":"PW","scienceBaseUri":"57724023e4b07657d1a793b5","chorus":{"doi":"10.1111/1365-2745.12632","url":"http://dx.doi.org/10.1111/1365-2745.12632","publisher":"Wiley-Blackwell","authors":"Welsh Miranda E., Cronin James Patrick, Mitchell Charles E.","journalName":"Journal of Ecology","publicationDate":"8/2/2016"},"contributors":{"authors":[{"text":"Welsh, Miranda E","contributorId":172466,"corporation":false,"usgs":false,"family":"Welsh","given":"Miranda","email":"","middleInitial":"E","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":640817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":640816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Charles E.","contributorId":99689,"corporation":false,"usgs":true,"family":"Mitchell","given":"Charles E.","affiliations":[],"preferred":false,"id":640818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174072,"text":"70174072 - 2016 - The Maryland Coastal Plain Aquifer Information System: A GIS-based tool for assessing groundwater resources","interactions":[],"lastModifiedDate":"2016-06-27T14:56:51","indexId":"70174072","displayToPublicDate":"2016-06-27T13:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"The Maryland Coastal Plain Aquifer Information System: A GIS-based tool for assessing groundwater resources","docAbstract":"

Groundwater is the source of drinking water for ∼1.4 million people in the Coastal Plain Province of Maryland (USA). In addition, groundwater is essential for commercial, industrial, and agricultural uses. Approximately 0.757 × 109 L d–1 (200 million gallons/d) were withdrawn in 2010. As a result of decades of withdrawals from the coastal plain confined aquifers, groundwater levels have declined by as much as 70 m (230 ft) from estimated prepumping levels. Other issues posing challenges to long-term groundwater sustainability include degraded water quality from both man-made and natural sources, reduced stream base flow, land subsidence, and changing recharge patterns (drought) caused by climate change. In Maryland, groundwater supply is managed primarily by the Maryland Department of the Environment, which seeks to balance reasonable use of the resource with long-term sustainability. The chief goal of groundwater management in Maryland is to ensure safe and adequate supplies for all current and future users through the implementation of appropriate usage, planning, and conservation policies. To assist in that effort, the geographic information system (GIS)–based Maryland Coastal Plain Aquifer Information System was developed as a tool to help water managers access and visualize groundwater data for use in the evaluation of groundwater allocation and use permits. The system, contained within an ESRI ArcMap desktop environment, includes both interpreted and basic data for 16 aquifers and 14 confining units. Data map layers include aquifer and ­confining unit layer surfaces, aquifer extents, borehole information, hydraulic properties, time-series groundwater-level data, well records, and geophysical and lithologic logs. The aquifer and confining unit layer surfaces were generated specifically for the GIS system. The system also contains select groundwater-quality data and map layers that quantify groundwater and surface-water withdrawals. The aquifer information system can serve as a pre- and postprocessing environment for groundwater-flow models for use in water-supply planning, development, and management. The system also can be expanded to include features that evaluate constraints to groundwater development, such as insufficient available drawdown, degraded groundwater quality, insufficient aquifer yields, and well-field interference. Ultimately, the aquifer information system is intended to function as an interactive Web-based utility that provides a broad array of information related to groundwater resources in Maryland’s coastal plain to a wide-ranging audience, including well drillers, consultants, academia, and the general public.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.2520(15)","usgsCitation":"Andreasen, D., Nardi, M.R., Staley, A., Achmad, G., and Grace, J.W., 2016, The Maryland Coastal Plain Aquifer Information System: A GIS-based tool for assessing groundwater resources: Special Paper of the Geological Society of America, v. 520, p. 159-170, https://doi.org/10.1130/2016.2520(15).","productDescription":"12 p.","startPage":"159","endPage":"170","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068540","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":324417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57724023e4b07657d1a793b0","contributors":{"authors":[{"text":"Andreasen, David C.","contributorId":59003,"corporation":false,"usgs":true,"family":"Andreasen","given":"David C.","affiliations":[],"preferred":false,"id":640806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nardi, Mark R. 0000-0002-7310-8050 mrnardi@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-8050","contributorId":1859,"corporation":false,"usgs":true,"family":"Nardi","given":"Mark","email":"mrnardi@usgs.gov","middleInitial":"R.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Andrew W.","contributorId":43319,"corporation":false,"usgs":true,"family":"Staley","given":"Andrew W.","affiliations":[],"preferred":false,"id":640807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Achmad, Grufron","contributorId":172464,"corporation":false,"usgs":false,"family":"Achmad","given":"Grufron","email":"","affiliations":[{"id":25435,"text":"Maryland Geological Survey","active":true,"usgs":false}],"preferred":false,"id":640808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, John W.","contributorId":172465,"corporation":false,"usgs":false,"family":"Grace","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":27050,"text":"Maryland Department of the Environment","active":true,"usgs":false}],"preferred":false,"id":640809,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}