We developed an automated approach for mapping persistent ice and snow cover (glaciers and perennial snowfields) from Landsat TM and ETM+ data across a variety of topography, glacier types, and climatic conditions at high latitudes (above ~65°N). Our approach exploits all available Landsat scenes acquired during the late summer (1 August–15 September) over a multi-year period and employs an automated cloud masking algorithm optimized for snow and ice covered mountainous environments. Pixels from individual Landsat scenes were classified as snow/ice covered or snow/ice free based on the Normalized Difference Snow Index (NDSI), and pixels consistently identified as snow/ice covered over a five-year period were classified as persistent ice and snow cover. The same NDSI and ratio of snow/ice-covered days to total days thresholds applied consistently across eight study regions resulted in persistent ice and snow cover maps that agreed closely in most areas with glacier area mapped for the Randolph Glacier Inventory (RGI), with a mean accuracy (agreement with the RGI) of 0.96, a mean precision (user’s accuracy of the snow/ice cover class) of 0.92, a mean recall (producer’s accuracy of the snow/ice cover class) of 0.86, and a mean F-score (a measure that considers both precision and recall) of 0.88. We also compared results from our approach to glacier area mapped from high spatial resolution imagery at four study regions and found similar results. Accuracy was lowest in regions with substantial areas of debris-covered glacier ice, suggesting that manual editing would still be required in these regions to achieve reasonable results. The similarity of our results to those from the RGI as well as glacier area mapped from high spatial resolution imagery suggests it should be possible to apply this approach across large regions to produce updated 30-m resolution maps of persistent ice and snow cover. In the short term, automated PISC maps can be used to rapidly identify areas where substantial changes in glacier area have occurred since the most recent conventional glacier inventories, highlighting areas where updated inventories are most urgently needed. From a longer term perspective, the automated production of PISC maps represents an important step toward fully automated glacier extent monitoring using Landsat or similar sensors.
","language":"English","publisher":"MDPI","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs8010016","usgsCitation":"Selkowitz, D.J., and Forster, R.R., 2016, An automated approach for mapping persistent ice and snow cover over high latitude regions: Remote Sensing, v. 8, no. 1, 21 p., https://doi.org/10.3390/rs8010016.","productDescription":"21 p.","ipdsId":"IP-066601","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":461980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8010016","text":"Publisher Index Page"},{"id":336312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Circumpolar Arctic","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-25","publicationStatus":"PW","scienceBaseUri":"58b69a3fe4b01ccd54ff3f86","contributors":{"authors":[{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":673560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":673561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182516,"text":"70182516 - 2016 - A manual to identify sources of fluvial sediment","interactions":[],"lastModifiedDate":"2017-07-25T09:52:55","indexId":"70182516","displayToPublicDate":"2017-02-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-16/210","title":"A manual to identify sources of fluvial sediment","docAbstract":"Sediment is an important pollutant of concern that can degrade and alter aquatic habitat. A sediment budget is an accounting of the sources, storage, and export of sediment over a defined spatial and temporal scale. This manual focuses on field approaches to estimate a sediment budget. We also highlight the sediment fingerprinting approach to attribute sediment to different watershed sources. Determining the sources and sinks of sediment is important in developing strategies to reduce sediment loads to water bodies impaired by sediment. Therefore, this manual can be used when developing a sediment TMDL requiring identification of sediment sources.
The manual takes the user through the seven necessary steps to construct a sediment budget:
Sediment budget construction begins with examining the question(s) being asked and whether a sediment budget is necessary to answer these question(s). If undertaking a sediment budget analysis is a viable option, the next step is to define the spatial scale of the watershed and the time scale needed to answer the question(s). Of course, we understand that monetary constraints play a big role in any decision.
Early in the sediment budget development process, we suggest getting to know your watershed by conducting a reconnaissance and meeting with local stakeholders. The reconnaissance aids in understanding the geomorphic setting of the watershed and potential sources of sediment. Identifying the potential sediment sources early in the design of the sediment budget will help later in deciding which tools are necessary to monitor erosion and/or deposition at these sources. Tools can range from rapid inventories to estimate the sediment budget or quantifying sediment erosion, deposition, and export through more rigorous field monitoring. In either approach, data are gathered and erosion and deposition calculations are determined and compared to the sediment export with a description of the error uncertainty. Findings are presented to local stakeholders and management officials.
Sediment fingerprinting is a technique that apportions the sources of fine-grained sediment in a watershed using tracers or fingerprints. Due to different geologic and anthropogenic histories, the chemical and physical properties of sediment in a watershed may vary and often represent a unique signature (or fingerprint) for each source within the watershed. Fluvial sediment samples (the target sediment) are also collected and exhibit a composite of the source properties that can be apportioned through various statistical techniques. Using an unmixing-model and error analysis, the final apportioned sediment is determined.
","language":"English","publisher":"U.S. Environmental Protection Agency","publisherLocation":"Washington, D.C.","usgsCitation":"Gellis, A.C., Fitzpatrick, F., and Schubauer-Berigan, J., 2016, A manual to identify sources of fluvial sediment, xi, 106 p.","productDescription":"xi, 106 p.","numberOfPages":"117","ipdsId":"IP-078964","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":336244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336150,"type":{"id":15,"text":"Index Page"},"url":"https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=335394"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548bde4b01ccd54fddfa4","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schubauer-Berigan, Joseph","contributorId":182408,"corporation":false,"usgs":false,"family":"Schubauer-Berigan","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":671373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70181748,"text":"70181748 - 2016 - Transport of atrazine and dicamba through silt and loam soils","interactions":[],"lastModifiedDate":"2017-02-13T13:21:11","indexId":"70181748","displayToPublicDate":"2017-02-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5293,"text":"Global Journal of Earth Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Transport of atrazine and dicamba through silt and loam soils","docAbstract":"The objectives of this research were to determine the role of preferential flow paths in the transport of atrazine (2-chloro-4-(ethylamino)-6-(isopropylamino)-s-triazine) and dicamba (3-6-dichloro-2-methoxybenzoic acid) through silt and loam soils overlying the High Plains aquifer in Nebraska. In a previous study, 3 of 6 study areas demonstrated high percentages of macropores; those three areas were used in this study for analysis of chemical transport. As a subsequent part of the study, 12 intact soil cores (30-cm diameter by 40-cm height), were excavated sequentially, two from each of the following depths: 0-40cm and 40-80cm. These cores were used to study preferential flow characteristics using dye staining and to determine hydraulic properties. Two undisturbed experimental field plots, each with a 3-m2 \r\nsurface area, were installed in three study areas in Nebraska. Each was instrumented with suction lysimeters and tensiometers at depths of 10cm to 80cm in 10-cm increments. Additionally, each plot was planted with corn (Zea mays). \r\n\r\nA neutron probe access tube was installed in each plot to determine soil w ater content at 15-cm intervals. All plots were enclosed w ith a raised frame (of 8-cm height) to prevent surface runoff. All suction lysimeters were purged monthly for three months and were sampled immediately prior to pre-plant herbicide application to obtain background chemical \r\nconcentrations. Atrazine and dicamba moved rapidly through the soil, but only after a heavy rainfall event, probably owing to the presence of preferential flow paths and lack of microbial degradation in these soil areas. Staining of laboratory cores showed a positive correlation between the percent area stained by depth and the subsequent \r\nbreakthrough of Br- in the laboratory and leaching of field-applied herbicides owing to large rainfall events. Suction lysimeter samples in the field showed increases in concentrations of herbicides at depths where laboratory data indicated greater percentages of what appeared to be preferential flow paths. Concentrations of atrazine and dicamba \r\nexceeding 0.30 and 0.05µg m1-1 were observed at depths of 10-30cm and 50-70cm after two months following heavy rainfall events. It appears from the laboratory experiment that preferential flow paths were a significant factor in transport of atrazine and dicamba.","language":"English","publisher":"Avanti ","doi":"10.15377/2409-5710.2016.03.01.3","usgsCitation":"Tindall, J.A., and Friedel, M.J., 2016, Transport of atrazine and dicamba through silt and loam soils: Global Journal of Earth Science and Engineering, v. 3, p. 27-42, https://doi.org/10.15377/2409-5710.2016.03.01.3.","productDescription":"16 p. ","startPage":"27","endPage":"42","ipdsId":"IP-076529","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":488579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15377/2409-5710.2016.03.01.3","text":"Publisher Index Page"},{"id":335234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"Nebraska","county":"Box Butte County, Buffalo County, Chase County, Garfield County, Gosper County, Holt County, Kearney County, Phelps County, Wheeler County, York County ","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-102.7742,42.4402],[-102.7499,42.4394],[-102.7498,42.3576],[-102.7477,42.3531],[-102.7476,42.2708],[-102.7428,42.1809],[-102.7431,42.0923],[-102.7035,42.0922],[-102.6989,42.0051],[-102.8149,42.0026],[-102.936,42.0022],[-103.0521,42.0027],[-103.1689,42.0021],[-103.3605,42.0037],[-103.3995,42.004],[-103.4012,42.0903],[-103.4457,42.0905],[-103.4438,42.176],[-103.4432,42.2646],[-103.4444,42.4387],[-103.361,42.4377],[-103.2416,42.4376],[-103.0893,42.4381],[-102.8885,42.4391],[-102.7742,42.4402]]],[[[-98.7228,41.0474],[-98.7218,40.7003],[-98.7261,40.7003],[-98.7262,40.6894],[-98.7247,40.4368],[-98.7244,40.352],[-98.7275,40.3516],[-98.8378,40.3521],[-98.8402,40.3526],[-99.0659,40.3518],[-99.1793,40.3503],[-99.2017,40.3509],[-99.2922,40.3505],[-99.303,40.3506],[-99.3133,40.3497],[-99.5172,40.3493],[-99.5293,40.3498],[-99.6306,40.3497],[-99.6421,40.3502],[-99.7543,40.35],[-99.8677,40.3502],[-99.9805,40.3511],[-100.08,40.3516],[-100.0933,40.3507],[-100.0946,40.4373],[-99.9817,40.4391],[-99.9823,40.5244],[-99.9816,40.6999],[-99.9174,40.6981],[-99.83,40.7002],[-99.77,40.6997],[-99.7021,40.7],[-99.6791,40.6927],[-99.6622,40.6886],[-99.6434,40.6849],[-99.6228,40.683],[-99.5986,40.6771],[-99.5834,40.6779],[-99.5555,40.6805],[-99.5446,40.6805],[-99.518,40.6768],[-99.4877,40.6757],[-99.4544,40.6752],[-99.4338,40.6728],[-99.4241,40.6718],[-99.4168,40.6686],[-99.4166,40.6995],[-99.4269,40.7],[-99.4249,40.8732],[-99.4248,40.9599],[-99.4247,41.0466],[-99.3199,41.0479],[-99.2078,41.0477],[-99.0647,41.0471],[-98.9763,41.0469],[-98.9495,41.0462],[-98.7484,41.0476],[-98.7228,41.0474]]],[[[-101.3432,40.6973],[-101.3421,40.3517],[-101.4356,40.3502],[-102.0039,40.3489],[-102.0493,40.3495],[-102.0494,40.4401],[-102.0501,40.6983],[-102.0253,40.6987],[-101.9325,40.6988],[-101.5888,40.699],[-101.5706,40.6988],[-101.4578,40.6983],[-101.3614,40.6981],[-101.3432,40.6973]]],[[[-98.7595,41.7399],[-98.9889,41.7405],[-99.1046,41.7396],[-99.2148,41.7398],[-99.2209,41.7399],[-99.222,41.9142],[-99.2198,42.0046],[-99.2201,42.0873],[-99.2331,42.0873],[-99.2334,42.4031],[-99.233,42.4317],[-99.2417,42.4322],[-99.2441,42.7822],[-99.2548,42.7818],[-99.2551,42.8045],[-99.2388,42.8117],[-99.2276,42.8098],[-99.2062,42.8229],[-99.1812,42.8259],[-99.1736,42.8295],[-99.1597,42.8394],[-99.1472,42.8425],[-99.1228,42.8442],[-99.1058,42.8522],[-99.0908,42.8553],[-99.0576,42.8619],[-99.0387,42.8727],[-99.0279,42.879],[-99.0097,42.8884],[-98.9914,42.8937],[-98.9739,42.8967],[-98.9564,42.8934],[-98.9539,42.8934],[-98.9397,42.8824],[-98.9291,42.8764],[-98.8989,42.8534],[-98.889,42.8438],[-98.8703,42.8413],[-98.8553,42.8412],[-98.8396,42.8465],[-98.8303,42.8414],[-98.8248,42.8345],[-98.8093,42.8285],[-98.795,42.8229],[-98.7856,42.8246],[-98.7775,42.8264],[-98.7687,42.8286],[-98.7606,42.828],[-98.7506,42.8248],[-98.7277,42.8118],[-98.7123,42.803],[-98.6948,42.801],[-98.6835,42.8023],[-98.6572,42.8066],[-98.6423,42.805],[-98.6268,42.7971],[-98.6169,42.7943],[-98.6007,42.7882],[-98.5871,42.7813],[-98.5522,42.7809],[-98.5204,42.7751],[-98.4911,42.7725],[-98.4737,42.77],[-98.4531,42.7684],[-98.4305,42.774],[-98.423,42.7762],[-98.4149,42.7761],[-98.4062,42.7751],[-98.3756,42.7733],[-98.3525,42.774],[-98.3196,42.7663],[-98.3053,42.7629],[-98.3044,42.6988],[-98.3052,42.4365],[-98.2996,42.4374],[-98.3,42.0889],[-98.2957,42.0888],[-98.295,41.9153],[-98.2961,41.7423],[-98.7527,41.7398],[-98.7595,41.7399]]],[[[-97.3683,41.0475],[-97.3667,40.9589],[-97.3685,40.699],[-97.7111,40.6983],[-97.8245,40.6985],[-97.8276,41.0467],[-97.7644,41.0469],[-97.5981,41.0475],[-97.5298,41.0484],[-97.4835,41.0475],[-97.3683,41.0475]]]]},\"properties\":{\"name\":\"Box Butte\",\"state\":\"NE\"}}]}","volume":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-31","publicationStatus":"PW","scienceBaseUri":"58a2d3b6e4b0c82512869a07","contributors":{"authors":[{"text":"Tindall, James A. 0000-0002-0940-1586 jtindall@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-1586","contributorId":2529,"corporation":false,"usgs":true,"family":"Tindall","given":"James","email":"jtindall@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":668354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedel, Michael J.","contributorId":181494,"corporation":false,"usgs":false,"family":"Friedel","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668355,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182517,"text":"70182517 - 2016 - Genetic structure and viability selection in the golden eagle (Aquila chrysaetos), a vagile raptor with a Holarctic distribution","interactions":[],"lastModifiedDate":"2017-11-22T17:21:32","indexId":"70182517","displayToPublicDate":"2017-02-01T00:00:00","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}},"displayTitle":"Genetic structure and viability selection in the golden eagle (Aquila chrysaetos), a vagile raptor with a Holarctic distribution","title":"Genetic structure and viability selection in the golden eagle (Aquila chrysaetos), a vagile raptor with a Holarctic distribution","docAbstract":"Molecular markers can reveal interesting aspects of organismal ecology and evolution, especially when surveyed in rare or elusive species. Herein, we provide a preliminary assessment of golden eagle (Aquila chrysaetos) population structure in North America using novel single nucleotide polymorphisms (SNPs). These SNPs included one molecular sexing marker, two mitochondrial markers, 85 putatively neutral markers that were derived from noncoding regions within large intergenic intervals, and 74 putatively nonneutral markers found in or very near protein-coding genes. We genotyped 523 eagle samples at these 162 SNPs and quantified genotyping error rates and variability at each marker. Our samples corresponded to 344 individual golden eagles as assessed by unique multilocus genotypes. Observed heterozygosity of known adults was significantly higher than of chicks, as was the number of heterozygous loci, indicating that mean zygosity measured across all 159 autosomal markers was an indicator of fitness as it is associated with eagle survival to adulthood. Finally, we used chick samples of known provenance to test for population differentiation across portions of North America and found pronounced structure among geographic sampling sites. These data indicate that cryptic genetic population structure is likely widespread in the golden eagle gene pool, and that extensive field sampling and genotyping will be required to more clearly delineate management units within North America and elsewhere.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-016-0863-0","usgsCitation":"Doyle, J.M., Katzner, T., Roemer, G., Cain, J.W., Millsap, B., McIntyre, C., Sonsthagen, S.A., Fernandez, N.B., Wheeler, M., Bulut, Z., Bloom, P., and DeWoody, J.A., 2016, Genetic structure and viability selection in the golden eagle (Aquila chrysaetos), a vagile raptor with a Holarctic distribution: Conservation Genetics, v. 17, no. 6, p. 1307-1322, https://doi.org/10.1007/s10592-016-0863-0.","productDescription":"16 p.","startPage":"1307","endPage":"1322","ipdsId":"IP-068428","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":336170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"58b15439e4b01ccd54fc5e9d","contributors":{"authors":[{"text":"Doyle, Jacqueline M.","contributorId":175099,"corporation":false,"usgs":false,"family":"Doyle","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":671377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":671374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roemer, Gary","contributorId":182409,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary","affiliations":[],"preferred":false,"id":671378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":671376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millsap, Brian","contributorId":182410,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","affiliations":[],"preferred":false,"id":671379,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntyre, Carol","contributorId":182411,"corporation":false,"usgs":false,"family":"McIntyre","given":"Carol","affiliations":[],"preferred":false,"id":671380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":671375,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fernandez, Nadia B.","contributorId":175100,"corporation":false,"usgs":false,"family":"Fernandez","given":"Nadia","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":671381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wheeler, Maria","contributorId":182412,"corporation":false,"usgs":false,"family":"Wheeler","given":"Maria","email":"","affiliations":[],"preferred":false,"id":671382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bulut, Zafer","contributorId":182413,"corporation":false,"usgs":false,"family":"Bulut","given":"Zafer","email":"","affiliations":[{"id":30222,"text":"Selcuk University","active":true,"usgs":false}],"preferred":false,"id":671383,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bloom, Peter","contributorId":182414,"corporation":false,"usgs":false,"family":"Bloom","given":"Peter","affiliations":[],"preferred":false,"id":671384,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"DeWoody, J. Andrew","contributorId":175103,"corporation":false,"usgs":false,"family":"DeWoody","given":"J.","email":"","middleInitial":"Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":671385,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70180021,"text":"70180021 - 2016 - Reconstructing surface ocean circulation with 129I time series records from corals","interactions":[],"lastModifiedDate":"2017-01-23T12:38:00","indexId":"70180021","displayToPublicDate":"2017-01-23T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing surface ocean circulation with 129I time series records from corals","docAbstract":"The long-lived radionuclide 129I (half-life: 15.7 × 106 yr) is well-known as a useful environmental tracer. At present, the global 129I in surface water is about 1–2 orders of magnitude higher than pre-1960 levels. Since the 1990s, anthropogenic 129I produced from industrial nuclear fuels reprocessing plants has been the primary source of 129I in marine surface waters of the Atlantic and around the globe. Here we present four coral 129I time series records from: 1) Con Dao and 2) Xisha Islands, the South China Sea, 3) Rabaul, Papua New Guinea and 4) Guam. The Con Dao coral 129I record features a sudden increase in 129I in 1959. The Xisha coral shows similar peak values for 129I as the Con Dao coral, punctuated by distinct low values, likely due to the upwelling in the central South China Sea. The Rabaul coral features much more gradual 129I increases in the 1970s, similar to a published record from the Solomon Islands. The Guam coral 129I record contains the largest measured values for any site, with two large peaks, in 1955 and 1959. Nuclear weapons testing was the primary 129I source in the Western Pacific in the latter part of the 20th Century, notably from testing in the Marshall Islands. The Guam 1955 peak and Con Dao 1959 increases are likely from the 1954 Castle Bravo test, and the Operation Hardtack I test is the most likely source of the 1959 peak observed at Guam. Radiogenic iodine found in coral was carried primarily through surface ocean currents. The coral 129I time series data provide a broad picture of the surface distribution and depth penetration of 129I in the Pacific Ocean over the past 60 years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2016.09.016","usgsCitation":"Chang, C., Burr, G.S., Jull, A.J., Russell, J.L., Biddulph, D., White, L., Prouty, N.G., Chen, Y., Chuan-Chou Shen, Zhou, W., and Lam, D.D., 2016, Reconstructing surface ocean circulation with 129I time series records from corals: Journal of Environmental Radioactivity, v. 165, p. 144-150, https://doi.org/10.1016/j.jenvrad.2016.09.016.","productDescription":"7 p.","startPage":"144","endPage":"150","ipdsId":"IP-075265","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvrad.2016.09.016","text":"Publisher Index Page"},{"id":333708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58872485e4b08aa8f945abbc","contributors":{"authors":[{"text":"Chang, Ching-Chih","contributorId":178566,"corporation":false,"usgs":false,"family":"Chang","given":"Ching-Chih","email":"","affiliations":[],"preferred":false,"id":659797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burr, George S.","contributorId":178567,"corporation":false,"usgs":false,"family":"Burr","given":"George","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":659798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jull, A. J. Timothy","contributorId":178568,"corporation":false,"usgs":false,"family":"Jull","given":"A.","email":"","middleInitial":"J. Timothy","affiliations":[],"preferred":false,"id":659799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Joellen L.","contributorId":178569,"corporation":false,"usgs":false,"family":"Russell","given":"Joellen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":659800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biddulph, Dana","contributorId":178570,"corporation":false,"usgs":false,"family":"Biddulph","given":"Dana","email":"","affiliations":[],"preferred":false,"id":659801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Lara","contributorId":178571,"corporation":false,"usgs":false,"family":"White","given":"Lara","email":"","affiliations":[],"preferred":false,"id":659802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":659796,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chen, Yue-Gau","contributorId":178572,"corporation":false,"usgs":false,"family":"Chen","given":"Yue-Gau","email":"","affiliations":[],"preferred":false,"id":659803,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chuan-Chou Shen","contributorId":178573,"corporation":false,"usgs":false,"family":"Chuan-Chou Shen","affiliations":[],"preferred":false,"id":659804,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhou, Weijian","contributorId":178574,"corporation":false,"usgs":false,"family":"Zhou","given":"Weijian","email":"","affiliations":[],"preferred":false,"id":659805,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lam, Doan Dinh","contributorId":178575,"corporation":false,"usgs":false,"family":"Lam","given":"Doan","email":"","middleInitial":"Dinh","affiliations":[],"preferred":false,"id":659806,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70179702,"text":"70179702 - 2016 - Investigating dynamic sources of pharmaceuticals: Demographic and seasonal use are more important than down-the-drain disposal in wastewater effluent in a University City setting","interactions":[],"lastModifiedDate":"2018-08-07T12:08:44","indexId":"70179702","displayToPublicDate":"2017-01-12T00:00:00","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":"Investigating dynamic sources of pharmaceuticals: Demographic and seasonal use are more important than down-the-drain disposal in wastewater effluent in a University City setting","docAbstract":"Pharmaceutical pollution in surface waters poses risks to human and ecosystem health. Wastewater treatment facilities are primary sources of pharmaceutical pollutants, but little is known about the factors that affect drugs entering the wastewater stream. This paper investigates the effects of student pharmaceutical use and disposal behaviors and an annual demographic shift on pharmaceutical pollution in a university town. We sampled wastewater effluent during a ten-day annual spring student move-out period at the University of Vermont. We then interpreted these data in light of survey results that investigated pharmaceutical purchasing, use, and disposal practices among the university student population. Surveys indicated that the majority of student respondents purchased pharmaceuticals in the previous year. Many students reported having leftover drugs, though only a small portion disposed of them, mainly in the trash.
We detected 51 pharmaceuticals in 80% or more of the wastewater effluent samples collected over the ten-day sampling period. Several increased in concentration after students left the area. Concentrations of caffeine and nicotine decreased weakly. Drug disposal among this university student population does not appear to be a major source of pharmaceuticals in wastewater. Increases in pharmaceutical concentration after the students left campus can be tied to an increase in the seasonal use of allergy medications directly related to pollen, as well as a demographic shift to a year-round older population, which supports national data that older people use larger volumes and different types of pharmaceuticals than the younger student population.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2016.07.199","usgsCitation":"Vatovec, C., Phillips, P.J., Van Wagoner, E., Scott, T., and Furlong, E.T., 2016, Investigating dynamic sources of pharmaceuticals: Demographic and seasonal use are more important than down-the-drain disposal in wastewater effluent in a University City setting: Science of the Total Environment, v. 572, p. 906-914, https://doi.org/10.1016/j.scitotenv.2016.07.199.","productDescription":"9 p.","startPage":"906","endPage":"914","ipdsId":"IP-074658","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":333101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","city":"Burlington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.25958251953125,\n 44.42765069807356\n ],\n [\n -73.25958251953125,\n 44.5058104003897\n ],\n [\n -73.16070556640625,\n 44.5058104003897\n ],\n [\n -73.16070556640625,\n 44.42765069807356\n ],\n [\n -73.25958251953125,\n 44.42765069807356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"572","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48ae4b04df303d95800","contributors":{"authors":[{"text":"Vatovec, Christine","contributorId":178267,"corporation":false,"usgs":false,"family":"Vatovec","given":"Christine","email":"","affiliations":[],"preferred":false,"id":658338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Wagoner, Emily","contributorId":178268,"corporation":false,"usgs":false,"family":"Van Wagoner","given":"Emily","email":"","affiliations":[],"preferred":false,"id":658339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":658341,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178873,"text":"ofr20161202 - 2016 - Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application","interactions":[],"lastModifiedDate":"2017-03-06T10:50:24","indexId":"ofr20161202","displayToPublicDate":"2017-01-05T07:00:00","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":"2016-1202","title":" Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application","docAbstract":"This report provides an overview of current (2016) U.S. Geological Survey policies and practices related to publishing data on ScienceBase, and an example interactive mapping application to display those data. ScienceBase is an integrated data sharing platform managed by the U.S. Geological Survey. This report describes resources that U.S. Geological Survey Scientists can use for writing data management plans, formatting data, and creating metadata, as well as for data and metadata review, uploading data and metadata to ScienceBase, and sharing metadata through the U.S. Geological Survey Science Data Catalog. Because data publishing policies and practices are evolving, scientists should consult the resources cited in this paper for definitive policy information.
An example is provided where, using the content of a published ScienceBase data release that is associated with an interpretive product, a simple user interface is constructed to demonstrate how the open source capabilities of the R programming language and environment can interact with the properties and objects of the ScienceBase item and be used to generate interactive maps.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161202","collaboration":"Prepared in cooperation with the Community for Data Integration","usgsCitation":"Chase, K.J., Bock, A.R., and Sando, Roy, 2017, Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application: U.S. Geological Survey Open-File Report 2016–1202, 10 p., https://doi.org/10.3133/ofr20161202.","productDescription":"Report: v, 10 p. ","startPage":"1","endPage":"10","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-076724","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":332690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1202/coverthb.jpg"},{"id":332691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1202/ofr20161202.pdf","text":"Report","size":"2.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1202 Report PDF"}],"contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Ave
Helena, MT 59601
http://wy-mt.water.usgs.gov/
Bithynia tentaculata is believed to have been extirpated from North America during the last glacial maximum. It was reintroduced into North America via the Great Lakes basin in the 1800’s and has recently been expanding its geographic range. This snail serves as intermediate host for three trematodes that cause extensive recurring morbidity and mortality events in migratory water birds along the Mississippi River. Using twelve microsatellite loci for ~200 individual snails from 11 populations in North America and Europe, we examined one of the three major geographic regions from which founding populations into the Great Lakes typically originate. Our data supports a single recolonization of North America into the Great Lakes Basin followed by subsequent introduction events from the Great Lakes to other large watersheds in North America. However, additional watersheds in Europe require sampling to confirm this result. No populations with genetic signatures indicative of North American glacial relics were found. The initial invasion of North America was likely not from the Ponto-Caspian basin, the usual source of freshwater invasive species to the Laurentian Great Lakes.
","language":"English","publisher":"Freshwater Mollusc Conservation Society","doi":"10.31931/fmbc.v19i2.2016.56-68","usgsCitation":"Perez, K.E., Werren, R.L., Lynum, C.A., Hartman, L.A., Majoros, G., and Cole, R.A., 2016, Genetic structure of faucet snail, Bithynia tentaculata populations in North Americal based on microsattelite markers: Freshwater Mollusk Biology and Conservation, v. 19, no. 2, p. 56-68, https://doi.org/10.31931/fmbc.v19i2.2016.56-68.","productDescription":"13 p.","startPage":"56","endPage":"68","ipdsId":"IP-071347","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v19i2.2016.56-68","text":"Publisher Index Page"},{"id":332929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586f69a6e4b01a71ba0bc903","contributors":{"authors":[{"text":"Perez, Kathryn E.","contributorId":14102,"corporation":false,"usgs":true,"family":"Perez","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werren, Rebecca L.","contributorId":178043,"corporation":false,"usgs":false,"family":"Werren","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":657837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynum, Christopher A.","contributorId":178044,"corporation":false,"usgs":false,"family":"Lynum","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, Levi A.","contributorId":178045,"corporation":false,"usgs":false,"family":"Hartman","given":"Levi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Majoros, Gabor","contributorId":178046,"corporation":false,"usgs":false,"family":"Majoros","given":"Gabor","email":"","affiliations":[],"preferred":false,"id":657840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":657841,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179582,"text":"70179582 - 2016 - Implementation and evaluation of a monthly water balance model over the US on an 800 m grid","interactions":[],"lastModifiedDate":"2017-01-19T13:42:38","indexId":"70179582","displayToPublicDate":"2017-01-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Implementation and evaluation of a monthly water balance model over the US on an 800 m grid","docAbstract":"We simulate the 1950–2010 water balance for the conterminous U.S. (CONUS) with a monthly water balance model (MWBM) using the 800 m Parameter-elevation Regression on Independent Slopes Model (PRISM) data set as model input. We employed observed snow and streamflow data sets to guide modification of the snow and potential evapotranspiration components in the default model and to evaluate model performance. Based on various metrics and sensitivity tests, the modified model yields reasonably good simulations of seasonal snowpack in the West (range of bias of ±50 mm at 68% of 713 SNOTEL sites), the gradients and magnitudes of actual evapotranspiration, and runoff (median correlation of 0.83 and median Nash-Sutcliff efficiency of 0.6 between simulated and observed annual time series at 1427 USGS gage sites). The model generally performs well along the Pacific Coast, the high elevations of the Basin and Range and over the Midwest and East, but not as well over the dry areas of the Southwest and upper Plains regions due, in part, to the apportioning of direct versus delayed runoff. Sensitivity testing and application of the MWBM to simulate the future water balance at four National Parks when driven by 30 climate models from the Climate Model Intercomparison Program Phase 5 (CMIP5) demonstrate that the model is useful for evaluating first-order, climate driven hydrologic change on monthly and annual time scales.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR018665","usgsCitation":"Hostetler, S.W., and Alder, J.R., 2016, Implementation and evaluation of a monthly water balance model over the US on an 800 m grid: Water Resources Research, v. 52, no. 12, p. 9600-9620, https://doi.org/10.1002/2016WR018665.","productDescription":"20 p.","startPage":"9600","endPage":"9620","ipdsId":"IP-072570","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":332920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-27","publicationStatus":"PW","scienceBaseUri":"586f69a3e4b01a71ba0bc8fd","contributors":{"authors":[{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":657814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":657815,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179598,"text":"70179598 - 2016 - Depth calibration and validation of the Experimental Advanced Airborne Research Lidar, EAARL-B","interactions":[],"lastModifiedDate":"2020-02-13T10:03:10","indexId":"70179598","displayToPublicDate":"2017-01-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Depth calibration and validation of the Experimental Advanced Airborne Research Lidar, EAARL-B","docAbstract":"The original National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research\nLidar (EAARL), was extensively modified to increase the spatial sampling density and improve performance in\nwater ranging from 3–44 m. The new (EAARL-B) sensor features a 300% increase in spatial density, which was\nachieved by optically splitting each laser pulse into 3 pulses spatially separated by 1.6 m along the flight track and\n2.0 m across-track on the water surface when flown at a nominal altitude of 300 m. Improved depth capability was\nachieved by increasing the total peak laser power by a factor of 10, and incorporating a new “deep-water” receiver,\noptimized to exclusively receive refracted and scattered light from deeper water (15–44 m). Two clear-water\nmissions were conducted to determine the EAARL-B depth calibration coefficients. The calibration mission was\nconducted over the U.S. Navy’s South Florida Testing Facility (SFTF), an established lidar calibration range located\nin the coastal waters southeast of Fort Lauderdale, Florida. A second mission was conducted over Lang Bank, St.\nCroix, U.S. Virgin Islands. The EAARL-B survey was spatially and temporally coincident with multibeam sonar\nsurveys conducted by the National Oceanic and Atmospheric Administration (NOAA) ship Nancy Foster. The\nNOAA depth data range from 10–100 m, whereas the EAARL-B captured data from 0–41 m. Coefficients derived\nfrom the SFTF calibration mission were used to correct the EAARL-B data from both missions. The resulting\ncalibrated EAARL-B data were then compared with the original reference dataset, a jet-ski-based single beam sonar\ndataset from the SFTF site, and the deeper NOAA data from St. Croix. Additionally, EAARL-B depth accuracy was\nevaluated by comparing the depth results to International Hydrographic Organization (IHO) standards. Results show\ngood agreement between the calibrated EAARL-B data and all three reference datasets, with 95% confidence levels\nwell within the maximum allowable total vertical uncertainty for IHO Order 1 surveys.","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI76-002","usgsCitation":"Wright, C., Kranenburg, C.J., Battista, T.A., and Parrish, C., 2016, Depth calibration and validation of the Experimental Advanced Airborne Research Lidar, EAARL-B: Journal of Coastal Research, v. Special Issue 76, p. 4-17, https://doi.org/10.2112/SI76-002.","productDescription":"Report: 14 p.; 2 Data Releases","startPage":"4","endPage":"17","ipdsId":"IP-066550","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470279,"rank":4,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/50788","text":"External Repository"},{"id":332919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372320,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F79S1P4S","text":"USGS data release","linkHelpText":"EAARL-B Submerged Topography—Fort Lauderdale, Florida, 2014"},{"id":372321,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F73T9F86","text":"USGS data release ","linkHelpText":"EAARL-B Submerged Topography—Saint Croix, U.S. Virgin Islands, 2014"}],"volume":"Special Issue 76","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586f69a6e4b01a71ba0bc905","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":178023,"corporation":false,"usgs":true,"family":"Wright","given":"C. Wayne","email":"wwright@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":657816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":657817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battista, Timothy A.","contributorId":178030,"corporation":false,"usgs":false,"family":"Battista","given":"Timothy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Christopher","contributorId":98635,"corporation":false,"usgs":true,"family":"Parrish","given":"Christopher","affiliations":[],"preferred":false,"id":657819,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179208,"text":"70179208 - 2016 - Aging and sexing guide to the forest birds of Hawai‘i Island","interactions":[],"lastModifiedDate":"2018-01-04T12:31:12","indexId":"70179208","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":295,"text":"Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"HCSU-079","title":"Aging and sexing guide to the forest birds of Hawai‘i Island","docAbstract":"We banded birds in Hakalau Forest National Wildlife Refuge from 2012 to 2016, collecting photographs of birds and making detailed observations on coloration, morphology, and molting patterns. While we believe the criteria in this guide are applicable to forest birds across Hawai’i Island, as well as on other Hawaiian islands for ‘Apapane, ‘I‘iwi, and Hawai‘i ‘Amakihi, certain characteristics such as morphometrics may vary across populations, and users should verify the guide’s criteria with other available field data.
","language":"English","publisher":"University of Hawai'i at Hilo","usgsCitation":"Paxton, E., McLaughlin, R., Levins, S., VanderWerf, E., and Lancaster, N., 2016, Aging and sexing guide to the forest birds of Hawai‘i Island: Technical Report HCSU-079, iii, 73 p.","productDescription":"iii, 73 p.","numberOfPages":"77","ipdsId":"IP-079985","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":332437,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.lib.hawaii.edu/handle/10790/2928"},{"id":333109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48ae4b04df303d95802","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":656393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Rachelle","contributorId":177619,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Rachelle","email":"","affiliations":[],"preferred":false,"id":656396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levins, Stephanie","contributorId":177617,"corporation":false,"usgs":false,"family":"Levins","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":656394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanderWerf, Eric","contributorId":150183,"corporation":false,"usgs":false,"family":"VanderWerf","given":"Eric","affiliations":[{"id":17933,"text":"Pacific Rim Conservation","active":true,"usgs":false}],"preferred":false,"id":658343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lancaster, Nolan","contributorId":177618,"corporation":false,"usgs":false,"family":"Lancaster","given":"Nolan","email":"","affiliations":[],"preferred":false,"id":656395,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70180048,"text":"70180048 - 2016 - Alternative source models of very low frequency events","interactions":[],"lastModifiedDate":"2017-01-23T15:00:01","indexId":"70180048","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Alternative source models of very low frequency events","docAbstract":"We present alternative source models for very low frequency (VLF) events, previously inferred to be radiation from individual slow earthquakes that partly fill the period range between slow slip events lasting thousands of seconds and low-frequency earthquakes (LFE) with durations of tenths of a second. We show that VLF events may emerge from bandpass filtering a sum of clustered, shorter duration, LFE signals, believed to be the components of tectonic tremor. Most published studies show VLF events occurring concurrently with tremor bursts and LFE signals. Our analysis of continuous data from Costa Rica detected VLF events only when tremor was also occurring, which was only 7% of the total time examined. Using analytic and synthetic models, we show that a cluster of LFE signals produces the distinguishing characteristics of VLF events, which may be determined by the cluster envelope. The envelope may be diagnostic of a single, dynamic, slowly slipping event that propagates coherently over kilometers or represents a narrowly band-passed version of nearly simultaneous arrivals of radiation from slip on multiple higher stress drop and/or faster propagating slip patches with dimensions of tens of meters (i.e., LFE sources). Temporally clustered LFE sources may be triggered by single or multiple distinct aseismic slip events or represent the nearly simultaneous chance occurrence of background LFEs. Given the nonuniqueness in possible source durations, we suggest it is premature to draw conclusions about VLF event sources or how they scale.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013001","usgsCitation":"Gomberg, J.S., Agnew, D., and Schwartz, S., 2016, Alternative source models of very low frequency events: Journal of Geophysical Research B: Solid Earth, v. 121, no. 9, p. 6722-6740, https://doi.org/10.1002/2016JB013001.","productDescription":"19 p.","startPage":"6722","endPage":"6740","ipdsId":"IP-073332","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470283,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/5t24b5fb","text":"External Repository"},{"id":333747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-24","publicationStatus":"PW","scienceBaseUri":"58872486e4b08aa8f945abc0","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":660020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agnew, D.C.","contributorId":32186,"corporation":false,"usgs":true,"family":"Agnew","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":660021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, S.Y.","contributorId":35342,"corporation":false,"usgs":true,"family":"Schwartz","given":"S.Y.","email":"","affiliations":[],"preferred":false,"id":660022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190859,"text":"70190859 - 2016 - Measuring distance “as the horse runs”: Cross-scale comparison of terrain-based metrics","interactions":[],"lastModifiedDate":"2017-09-20T10:39:26","indexId":"70190859","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring distance “as the horse runs”: Cross-scale comparison of terrain-based metrics","docAbstract":"Distance metrics play significant roles in spatial modeling tasks, such as flood inundation (Tucker and Hancock 2010), stream extraction (Stanislawski et al. 2015), power line routing (Kiessling et al. 2003) and analysis of surface pollutants such as nitrogen (Harms et al. 2009). Avalanche risk is based on slope, aspect, and curvature, all directly computed from distance metrics (Gutiérrez 2012). Distance metrics anchor variogram analysis, kernel estimation, and spatial interpolation (Cressie 1993). Several approaches are employed to measure distance. Planar metrics measure straight line distance between two points (“as the crow flies”) and are simple and intuitive, but suffer from uncertainties. Planar metrics assume that Digital Elevation Model (DEM) pixels are rigid and flat, as tiny facets of ceramic tile approximating a continuous terrain surface. In truth, terrain can bend, twist and undulate within each pixel.
Work with Light Detection and Ranging (lidar) data or High Resolution Topography to achieve precise measurements present challenges, as filtering can eliminate or distort significant features (Passalacqua et al. 2015). The current availability of lidar data is far from comprehensive in developed nations, and non-existent in many rural and undeveloped regions. Notwithstanding computational advances, distance estimation on DEMs has never been systematically assessed, due to assumptions that improvements are so small that surface adjustment is unwarranted. For individual pixels inaccuracies may be small, but additive effects can propagate dramatically, especially in regional models (e.g., disaster evacuation) or global models (e.g., sea level rise) where pixels span dozens to hundreds of kilometers (Usery et al 2003). Such models are increasingly common, lending compelling reasons to understand shortcomings in the use of planar distance metrics. Researchers have studied curvature-based terrain modeling. Jenny et al. (2011) use curvature to generate hierarchical terrain models. Schneider (2001) creates a ‘plausibility’ metric for DEM-extracted structure lines. d’Oleire- Oltmanns et al. (2014) adopt object-based image processing as an alternative to working with DEMs; acknowledging the pre-processing involved in converting terrain into an object model is computationally intensive, and likely infeasible for some applications.
This paper compares planar distance with surface adjusted distance, evolving from distance “as the crow flies” to distance “as the horse runs”. Several methods are compared for DEMs spanning a range of resolutions for the study area and validated against a 3 meter (m) lidar data benchmark. Error magnitudes vary with pixel size and with the method of surface adjustment. The rate of error increase may also vary with landscape type (terrain roughness, precipitation regimes and land settlement patterns). Cross-scale analysis for a single study area is reported here. Additional areas will be presented at the conference.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Conference on GIScience: Short Paper Proceedings","doi":"10.21433/B3118rh987cz","usgsCitation":"Buttenfield, B., Ghandehari, M., Leyk, S., Stanislawski, L.V., Brantley, M.E., and Qiang, Y., 2016, Measuring distance “as the horse runs”: Cross-scale comparison of terrain-based metrics, p. 37-40, https://doi.org/10.21433/B3118rh987cz.","productDescription":"4 p.","startPage":"37","endPage":"40","ipdsId":"IP-078741","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":470295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21433/b3118rh987cz","text":"Publisher Index Page"},{"id":345882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c22cb4e4b091459a61b73d","contributors":{"authors":[{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":710649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghandehari, M","contributorId":196539,"corporation":false,"usgs":false,"family":"Ghandehari","given":"M","email":"","affiliations":[],"preferred":false,"id":710651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leyk, S","contributorId":196538,"corporation":false,"usgs":false,"family":"Leyk","given":"S","email":"","affiliations":[],"preferred":false,"id":710650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":710648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brantley, M E","contributorId":196540,"corporation":false,"usgs":false,"family":"Brantley","given":"M","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":710652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qiang, Yi","contributorId":196567,"corporation":false,"usgs":false,"family":"Qiang","given":"Yi","email":"","affiliations":[],"preferred":false,"id":710777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70180631,"text":"70180631 - 2016 - Geography and host species shape the evolutionary dynamics of U genogroup infectious hematopoietic necrosis virus","interactions":[],"lastModifiedDate":"2018-02-02T11:05:49","indexId":"70180631","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Geography and host species shape the evolutionary dynamics of U genogroup infectious hematopoietic necrosis virus","docAbstract":"Infectious hematopoietic necrosis virus (IHNV) is a negative-sense RNA virus that infects wild and cultured salmonids throughout the Pacific Coastal United States and Canada, from California to Alaska. Although infection of adult fish is usually asymptomatic, juvenile infections can result in high mortality events that impact salmon hatchery programs and commercial aquaculture. We used epidemiological case data and genetic sequence data from a 303 nt portion of the viral glycoprotein gene to study the evolutionary dynamics of U genogroup IHNV in the Pacific Northwestern United States from 1971 to 2013. We identified 114 unique genotypes among 1,219 U genogroup IHNV isolates representing 619 virus detection events. We found evidence for two previously unidentified, broad subgroups within the U genogroup, which we designated ‘UC’ and ‘UP’. Epidemiologic records indicated that UP viruses were detected more frequently in sockeye salmon (Oncorhynchus nerka) and in coastal waters of Washington and Oregon, whereas UC viruses were detected primarily in Chinook salmon (Oncorhynchus tshawytscha) and steelhead trout (Oncorhynchus mykiss) in the Columbia River Basin, which is a large, complex watershed extending throughout much of interior Washington, Oregon, and Idaho. These findings were supported by phylogenetic analysis and by FST. Ancestral state reconstruction indicated that early UC viruses in the Columbia River Basin initially infected sockeye salmon but then emerged via host shifts into Chinook salmon and steelhead trout sometime during the 1980s. We postulate that the development of these subgroups within U genogroup was driven by selection pressure for viral adaptation to Chinook salmon and steelhead trout within the Columbia River Basin.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/ve/vew034","usgsCitation":"Black, A., Breyta, R., Bedford, T., and Kurath, G., 2016, Geography and host species shape the evolutionary dynamics of U genogroup infectious hematopoietic necrosis virus: Virus Evolution, v. 2, no. 2, Article vew034; 13 p., https://doi.org/10.1093/ve/vew034.","productDescription":"Article vew034; 13 p.","ipdsId":"IP-074420","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/vew034","text":"Publisher Index Page"},{"id":334407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-111.044156,43.020052],[-111.046689,42.001567],[-113.893261,41.988057],[-114.831077,42.002207],[-121.035195,41.993323],[-123.145959,42.009247],[-123.656998,41.995137],[-124.211605,41.99846],[-124.270464,42.045553],[-124.299649,42.051736],[-124.356229,42.114952],[-124.361009,42.180752],[-124.383633,42.22716],[-124.410982,42.250547],[-124.410556,42.307431],[-124.429288,42.331746],[-124.424863,42.395426],[-124.434882,42.434916],[-124.390664,42.566593],[-124.401177,42.627192],[-124.413119,42.657934],[-124.45074,42.675798],[-124.473864,42.732671],[-124.491679,42.741789],[-124.510017,42.734746],[-124.552441,42.840568],[-124.456918,43.000315],[-124.434451,43.115986],[-124.401726,43.184896],[-124.38246,43.270167],[-124.402814,43.305872],[-124.373037,43.338953],[-124.341587,43.351337],[-124.315012,43.388389],[-124.233534,43.55713],[-124.168392,43.808903],[-124.142704,43.958182],[-124.111054,44.235071],[-124.1152,44.286486],[-124.084401,44.415611],[-124.071706,44.423662],[-124.084429,44.486927],[-124.067251,44.60804],[-124.082326,44.608861],[-124.065202,44.622445],[-124.058281,44.658866],[-124.070394,44.683514],[-124.059077,44.737656],[-124.075473,44.771403],[-124.074066,44.798107],[-124.025136,44.928175],[-124.004598,45.044959],[-124.017991,45.049808],[-124.015851,45.064759],[-123.989529,45.094045],[-123.975425,45.145476],[-123.964169,45.317026],[-123.972899,45.33689],[-124.007756,45.336813],[-123.973398,45.354791],[-123.965728,45.386242],[-123.960557,45.430778],[-123.976544,45.489733],[-123.957568,45.510399],[-123.939005,45.661923],[-123.943121,45.727031],[-123.982578,45.761815],[-123.969459,45.782371],[-123.962736,45.869974],[-123.96763,45.907807],[-123.993703,45.946431],[-123.969991,45.969139],[-123.941831,45.97566],[-123.927891,46.009564],[-123.933366,46.071672],[-123.974124,46.168798],[-124.024305,46.229256],[-124.001998,46.237316],[-123.987196,46.211521],[-123.950148,46.204097],[-123.9042,46.169293],[-123.854801,46.157342],[-123.841521,46.169824],[-123.863347,46.18235],[-123.838801,46.192211],[-123.636474,46.214359],[-123.625219,46.233868],[-123.605487,46.2393],[-123.586205,46.228654],[-123.548194,46.248245],[-123.547659,46.259109],[-123.669501,46.266832],[-123.680574,46.296025],[-123.700764,46.305278],[-123.75956,46.275073],[-123.806139,46.283588],[-123.875525,46.239787],[-123.909306,46.245491],[-123.985204,46.309039],[-124.020551,46.315737],[-124.044018,46.275925],[-124.080671,46.267239],[-124.057425,46.409315],[-124.069583,46.630651],[-124.048444,46.645827],[-124.035874,46.630822],[-124.052708,46.622796],[-124.023566,46.582559],[-124.026032,46.462978],[-123.990615,46.463019],[-123.988386,46.497008],[-123.97083,46.47537],[-123.943667,46.477197],[-123.894254,46.537028],[-123.928861,46.588875],[-123.955556,46.60357],[-123.960642,46.636364],[-123.921913,46.650262],[-123.923269,46.672708],[-123.851356,46.70256],[-123.84621,46.716795],[-123.893054,46.750204],[-123.929073,46.725278],[-123.968564,46.736106],[-123.979655,46.724658],[-123.966886,46.705184],[-124.003458,46.702337],[-124.092176,46.741624],[-124.108078,46.836388],[-124.138225,46.905534],[-124.117712,46.91238],[-124.093392,46.901168],[-124.089286,46.867716],[-124.073113,46.861493],[-124.055085,46.870429],[-124.049279,46.891253],[-123.985082,46.921916],[-123.86018,46.948556],[-123.898245,46.971927],[-124.012218,46.985176],[-124.019727,46.991189],[-124.005248,47.003915],[-124.026345,47.030187],[-124.122057,47.04165],[-124.151288,47.021112],[-124.124386,46.94387],[-124.180111,46.926357],[-124.169113,46.994508],[-124.182802,47.134041],[-124.236349,47.287287],[-124.271193,47.305025],[-124.299943,47.34836],[-124.319379,47.355559],[-124.355955,47.545698],[-124.425195,47.738434],[-124.453927,47.765334],[-124.471687,47.766907],[-124.489737,47.816988],[-124.539927,47.836967],[-124.562363,47.866216],[-124.625512,47.887963],[-124.645442,47.935338],[-124.672427,47.964414],[-124.696542,48.069274],[-124.688602,48.092466],[-124.731746,48.169997],[-124.696111,48.198599],[-124.6909,48.212617],[-124.705031,48.238774],[-124.684677,48.255228],[-124.65894,48.331057],[-124.731828,48.381157],[-124.653243,48.390691],[-124.631108,48.376522],[-124.599278,48.381035],[-124.395593,48.288772],[-124.361351,48.287582],[-124.272017,48.25441],[-124.238582,48.262471],[-124.101773,48.216883],[-124.107215,48.200082],[-124.050734,48.177747],[-123.981032,48.164761],[-123.858821,48.154273],[-123.672445,48.162715],[-123.628819,48.139279],[-123.590839,48.134949],[-123.551131,48.151382],[-123.507235,48.131807],[-123.440128,48.142014],[-123.441972,48.124259],[-123.424668,48.118065],[-123.332699,48.11297],[-123.239129,48.118217],[-123.133445,48.177276],[-123.143229,48.156633],[-123.06621,48.120469],[-123.038727,48.081138],[-122.929095,48.096244],[-122.917942,48.091535],[-122.927975,48.06665],[-122.877641,48.047025],[-122.849273,48.053808],[-122.878255,48.076072],[-122.882013,48.100779],[-122.833173,48.134406],[-122.760448,48.14324],[-122.748911,48.117026],[-122.801399,48.087561],[-122.766648,48.04429],[-122.74229,48.049324],[-122.739271,48.069153],[-122.747389,48.070795],[-122.733257,48.091232],[-122.68724,48.101662],[-122.69222,48.087081],[-122.669868,48.017217],[-122.723374,48.008095],[-122.718082,47.987739],[-122.683223,47.972226],[-122.681924,47.936415],[-122.651063,47.920985],[-122.646494,47.894771],[-122.610341,47.887343],[-122.63636,47.866186],[-122.69376,47.868002],[-122.683742,47.838773],[-122.748061,47.800546],[-122.758498,47.746036],[-122.781682,47.70392],[-122.811929,47.679861],[-122.832139,47.695511],[-122.790619,47.792597],[-122.812616,47.840029],[-122.820178,47.835904],[-122.815027,47.807493],[-122.845612,47.777474],[-122.896524,47.674838],[-122.97244,47.6149],[-123.106486,47.45817],[-123.15598,47.355745],[-123.140169,47.347496],[-123.111298,47.362619],[-123.120234,47.39149],[-122.967284,47.585685],[-122.856611,47.649615],[-122.754186,47.671612],[-122.740159,47.736228],[-122.714801,47.768176],[-122.690562,47.778372],[-122.684085,47.798574],[-122.608105,47.856728],[-122.573672,47.857582],[-122.588235,47.912923],[-122.616701,47.925139],[-122.617022,47.938987],[-122.603861,47.940478],[-122.592184,47.922519],[-122.549072,47.919072],[-122.513986,47.880807],[-122.506122,47.831745],[-122.482529,47.815511],[-122.495458,47.786692],[-122.470333,47.757109],[-122.488491,47.743605],[-122.554454,47.745704],[-122.543161,47.710941],[-122.504604,47.699136],[-122.518277,47.65132],[-122.493205,47.635122],[-122.49824,47.598242],[-122.483805,47.586721],[-122.543118,47.556326],[-122.547207,47.528257],[-122.494882,47.510265],[-122.530514,47.469041],[-122.531889,47.428827],[-122.551136,47.394456],[-122.537044,47.375896],[-122.573739,47.318419],[-122.550134,47.290496],[-122.589454,47.227618],[-122.611464,47.2181],[-122.692426,47.280026],[-122.671256,47.343774],[-122.634823,47.370583],[-122.639126,47.377822],[-122.725738,47.33047],[-122.749621,47.276408],[-122.641802,47.205013],[-122.711997,47.127681],[-122.771619,47.167109],[-122.832799,47.243412],[-122.799025,47.289306],[-122.803688,47.355071],[-122.821868,47.363069],[-122.822344,47.319763],[-122.863732,47.270221],[-122.838298,47.208353],[-122.858735,47.167955],[-122.814238,47.179482],[-122.775056,47.123114],[-122.721437,47.103179],[-122.67813,47.103866],[-122.631987,47.140589],[-122.614855,47.169143],[-122.590829,47.178107],[-122.527586,47.291531],[-122.547747,47.316403],[-122.4442,47.266723],[-122.409199,47.288556],[-122.444635,47.300421],[-122.423535,47.319121],[-122.324833,47.348521],[-122.328434,47.400621],[-122.348035,47.415921],[-122.355135,47.441921],[-122.383136,47.450521],[-122.368036,47.459221],[-122.365236,47.48842],[-122.396538,47.51522],[-122.398338,47.55012],[-122.421139,47.57602],[-122.387139,47.59572],[-122.358238,47.58482],[-122.339513,47.599113],[-122.367819,47.624213],[-122.414645,47.639766],[-122.429841,47.658919],[-122.37314,47.729219],[-122.397043,47.779719],[-122.394944,47.803318],[-122.339944,47.846718],[-122.307048,47.949117],[-122.230046,47.970917],[-122.224979,48.016626],[-122.343241,48.097631],[-122.363842,48.12393],[-122.370253,48.164809],[-122.362044,48.187568],[-122.395499,48.228551],[-122.449605,48.232598],[-122.441731,48.211776],[-122.478535,48.188087],[-122.479008,48.175703],[-122.442383,48.130841],[-122.379481,48.087384],[-122.363107,48.054546],[-122.4675,48.130353],[-122.486736,48.12095],[-122.512031,48.133931],[-122.53722,48.183745],[-122.530996,48.249821],[-122.480925,48.251706],[-122.466803,48.269604],[-122.406516,48.25183],[-122.371693,48.287839],[-122.408718,48.326413],[-122.533452,48.383409],[-122.554536,48.40604],[-122.557298,48.444438],[-122.649839,48.408526],[-122.678928,48.439466],[-122.654844,48.454087],[-122.657753,48.47294],[-122.689121,48.476849],[-122.700603,48.457632],[-122.710362,48.461584],[-122.712981,48.47879],[-122.684521,48.509123],[-122.606961,48.522152],[-122.568071,48.50821],[-122.537355,48.466749],[-122.500721,48.460887],[-122.471832,48.470724],[-122.498463,48.556206],[-122.534719,48.574246],[-122.495904,48.575927],[-122.482406,48.559653],[-122.44456,48.570115],[-122.425271,48.599522],[-122.500308,48.656163],[-122.519172,48.713095],[-122.490401,48.751128],[-122.535803,48.776128],[-122.596844,48.771492],[-122.637146,48.735708],[-122.612562,48.714932],[-122.605733,48.701066],[-122.615169,48.693839],[-122.673472,48.733082],[-122.645743,48.781538],[-122.680246,48.80275],[-122.693683,48.804475],[-122.703106,48.786321],[-122.7112,48.79146],[-122.717073,48.84719],[-122.793175,48.892927],[-122.751289,48.911239],[-122.746596,48.930731],[-122.766096,48.941955],[-122.787539,48.931702],[-122.818232,48.939062],[-122.817226,48.95597],[-122.796887,48.975026],[-122.756318,48.996881],[-116.049193,49.000912],[-116.04885,47.977186],[-116.030751,47.973349],[-115.906409,47.846261],[-115.881522,47.849672],[-115.852291,47.827991],[-115.835365,47.760957],[-115.824597,47.752154],[-115.803917,47.75848],[-115.780441,47.743447],[-115.776219,47.719818],[-115.72377,47.696671],[-115.73627,47.654762],[-115.694284,47.62346],[-115.689404,47.595402],[-115.734674,47.567401],[-115.747263,47.543197],[-115.717024,47.532693],[-115.686704,47.485596],[-115.655272,47.477944],[-115.654318,47.468077],[-115.671188,47.45439],[-115.718247,47.45316],[-115.731348,47.433381],[-115.657681,47.400651],[-115.644341,47.381826],[-115.609492,47.380799],[-115.556318,47.353076],[-115.51186,47.295219],[-115.428359,47.278722],[-115.410685,47.264228],[-115.326903,47.255912],[-115.29211,47.209861],[-115.300805,47.19393],[-115.261885,47.181742],[-115.243707,47.150347],[-115.200547,47.139154],[-115.140375,47.093013],[-115.107132,47.049041],[-115.087806,47.045519],[-115.049538,46.970774],[-115.001274,46.971901],[-114.963978,46.932889],[-114.929997,46.919625],[-114.931058,46.882108],[-114.947413,46.859324],[-114.928615,46.854815],[-114.920459,46.827697],[-114.888146,46.808573],[-114.864342,46.813858],[-114.829117,46.782503],[-114.79004,46.778729],[-114.765106,46.758153],[-114.788656,46.714033],[-114.76689,46.696901],[-114.713516,46.715138],[-114.699008,46.740223],[-114.649388,46.73289],[-114.620859,46.707415],[-114.623198,46.691511],[-114.641745,46.679286],[-114.635713,46.659375],[-114.595213,46.633456],[-114.547321,46.644485],[-114.466902,46.631695],[-114.424424,46.660648],[-114.360709,46.669059],[-114.320665,46.646963],[-114.348733,46.533792],[-114.342072,46.519679],[-114.35874,46.505306],[-114.403019,46.498675],[-114.376413,46.442983],[-114.384756,46.411784],[-114.422458,46.387097],[-114.411592,46.366688],[-114.413758,46.335945],[-114.431708,46.310744],[-114.425587,46.287899],[-114.470479,46.26732],[-114.445497,46.220227],[-114.445928,46.173933],[-114.472643,46.162202],[-114.514706,46.167726],[-114.527096,46.146218],[-114.5213,46.125287],[-114.474415,46.112515],[-114.460049,46.097104],[-114.468529,46.062484],[-114.493418,46.03717],[-114.470965,45.995742],[-114.425843,45.984984],[-114.403712,45.967049],[-114.431328,45.938023],[-114.387166,45.889164],[-114.409477,45.85164],[-114.44868,45.858891],[-114.509303,45.845531],[-114.512973,45.828825],[-114.562509,45.779927],[-114.495421,45.703321],[-114.507645,45.658949],[-114.561046,45.639906],[-114.538132,45.606834],[-114.559038,45.565706],[-114.460542,45.561283],[-114.456764,45.543983],[-114.415804,45.509753],[-114.36852,45.492716],[-114.360719,45.474116],[-114.333218,45.459316],[-114.270717,45.486116],[-114.247824,45.524283],[-114.248121,45.545877],[-114.192802,45.536596],[-114.180043,45.551432],[-114.135249,45.557465],[-114.122322,45.58426],[-114.086584,45.59118],[-114.067619,45.627706],[-114.018731,45.648616],[-114.019315,45.692937],[-113.986656,45.704564],[-113.93422,45.682232],[-113.898883,45.644167],[-113.904691,45.622007],[-113.861404,45.62366],[-113.806729,45.602146],[-113.803261,45.584193],[-113.834555,45.520729],[-113.766022,45.520621],[-113.759986,45.480735],[-113.78416,45.454946],[-113.764591,45.431403],[-113.765203,45.410601],[-113.734402,45.392353],[-113.738729,45.329741],[-113.689359,45.28355],[-113.684946,45.253706],[-113.599506,45.191114],[-113.57467,45.128411],[-113.554744,45.112901],[-113.513342,45.115225],[-113.506638,45.107288],[-113.520134,45.093033],[-113.485278,45.063519],[-113.45197,45.059247],[-113.437726,45.006967],[-113.446884,44.998545],[-113.443782,44.95989],[-113.498745,44.942314],[-113.455071,44.865424],[-113.356062,44.819798],[-113.3461,44.800611],[-113.354763,44.795468],[-113.341704,44.784853],[-113.247166,44.82295],[-113.131453,44.772837],[-113.134824,44.752763],[-113.102138,44.729027],[-113.098064,44.697477],[-113.06776,44.679474],[-113.068306,44.656374],[-113.049349,44.62938],[-113.083819,44.60222],[-113.019777,44.528505],[-113.020917,44.493827],[-113.003544,44.450814],[-112.951146,44.416699],[-112.886041,44.395874],[-112.855395,44.359975],[-112.814156,44.377198],[-112.812608,44.392275],[-112.836034,44.422653],[-112.781294,44.484888],[-112.71911,44.504344],[-112.664485,44.48645],[-112.541989,44.483971],[-112.50031,44.463051],[-112.473207,44.480027],[-112.387389,44.448058],[-112.358926,44.48628],[-112.35421,44.535638],[-112.319198,44.53911],[-112.286187,44.568472],[-112.242785,44.568091],[-112.221698,44.543519],[-112.183937,44.533067],[-112.136454,44.539911],[-112.106755,44.520829],[-112.069011,44.537104],[-112.036943,44.530323],[-112.032707,44.546642],[-111.980833,44.536682],[-111.947941,44.556776],[-111.870504,44.564033],[-111.821488,44.509286],[-111.715474,44.543543],[-111.704218,44.560205],[-111.617348,44.549467],[-111.591768,44.561502],[-111.471682,44.540824],[-111.469185,44.552044],[-111.519126,44.582916],[-111.525764,44.604883],[-111.473178,44.665479],[-111.468833,44.679335],[-111.484898,44.687578],[-111.486019,44.707654],[-111.438793,44.720546],[-111.414271,44.710741],[-111.385005,44.755128],[-111.355768,44.727602],[-111.323669,44.724474],[-111.26875,44.668279],[-111.276956,44.655626],[-111.25268,44.651092],[-111.224161,44.623402],[-111.225208,44.581006],[-111.189617,44.571062],[-111.143557,44.535732],[-111.122654,44.493659],[-111.048974,44.474072],[-111.044156,43.020052]]],[[[-122.519535,48.288314],[-122.551793,48.281512],[-122.584086,48.297987],[-122.618466,48.294159],[-122.623779,48.269431],[-122.652639,48.265081],[-122.668385,48.223967],[-122.63126,48.220686],[-122.588138,48.18594],[-122.558205,48.119579],[-122.571615,48.105113],[-122.54512,48.05255],[-122.516314,48.057181],[-122.511081,48.075301],[-122.525422,48.096537],[-122.513276,48.097538],[-122.491104,48.094242],[-122.431266,48.045001],[-122.376259,48.034457],[-122.373263,48.000791],[-122.353611,47.981433],[-122.349597,47.958796],[-122.380497,47.904023],[-122.431035,47.914732],[-122.445519,47.930226],[-122.446682,47.963155],[-122.47266,47.988449],[-122.546824,47.967215],[-122.542924,47.996404],[-122.607342,48.030992],[-122.593621,48.0472],[-122.614028,48.072788],[-122.598301,48.110616],[-122.609568,48.15186],[-122.633167,48.163281],[-122.679556,48.155113],[-122.693084,48.181509],[-122.770045,48.224395],[-122.72259,48.304268],[-122.673731,48.354683],[-122.664659,48.401508],[-122.634991,48.404244],[-122.637892,48.395681],[-122.60198,48.409907],[-122.585038,48.395166],[-122.585162,48.353304],[-122.506568,48.310041],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.452399,47.503471],[-122.460442,47.493764],[-122.433385,47.46643],[-122.437656,47.407424],[-122.373628,47.388718],[-122.437809,47.365606],[-122.453997,47.343337],[-122.51885,47.33332],[-122.528128,47.345542],[-122.517797,47.368678],[-122.526733,47.398581],[-122.514703,47.414048],[-122.513328,47.449106],[-122.482739,47.483133],[-122.474684,47.511068]]],[[[-122.695907,48.737273],[-122.663259,48.697077],[-122.618225,48.670721],[-122.609576,48.645018],[-122.673538,48.680809],[-122.691795,48.711498],[-122.718833,48.716818],[-122.715709,48.748672],[-122.695907,48.737273]]],[[[-123.035393,49.002154],[-123.021459,48.977299],[-123.083834,48.976139],[-123.090546,49.001976],[-123.035393,49.002154]]],[[[-122.800217,48.60169],[-122.801096,48.585425],[-122.771206,48.562426],[-122.788503,48.530393],[-122.779124,48.508911],[-122.816332,48.487841],[-122.81973,48.458843],[-122.802509,48.433098],[-122.812208,48.422326],[-122.874135,48.418196],[-122.893646,48.422655],[-122.889016,48.435947],[-122.928004,48.439966],[-122.91646,48.453263],[-122.926901,48.460874],[-122.962009,48.451161],[-123.039156,48.460003],[-123.119451,48.492576],[-123.163234,48.529544],[-123.173061,48.579086],[-123.203026,48.596178],[-123.178425,48.622115],[-123.107362,48.622451],[-123.102074,48.604035],[-123.048403,48.569216],[-122.987296,48.561895],[-122.995026,48.578162],[-123.034101,48.591767],[-123.024902,48.594484],[-123.048652,48.621002],[-122.941316,48.702904],[-122.894599,48.71503],[-122.743049,48.661991],[-122.809622,48.619035],[-122.800217,48.60169]]],[[[-123.197953,48.68466],[-123.14799,48.668001],[-123.106165,48.633473],[-123.237148,48.683466],[-123.197953,48.68466]]],[[[-123.025486,48.717966],[-123.009787,48.722291],[-123.005086,48.694342],[-123.021215,48.681416],[-123.042337,48.675663],[-123.035672,48.68535],[-123.047058,48.695772],[-123.070427,48.699971],[-123.025486,48.717966]]],[[[-122.649405,48.588457],[-122.583985,48.551534],[-122.572967,48.529028],[-122.599948,48.536904],[-122.649256,48.528769],[-122.649405,48.588457]]],[[[-122.714512,48.60878],[-122.670638,48.568812],[-122.68944,48.543903],[-122.717278,48.539739],[-122.73944,48.573893],[-122.714512,48.60878]]],[[[-122.699266,48.621115],[-122.674173,48.629944],[-122.657016,48.609891],[-122.699266,48.621115]]]]},\"properties\":{\"name\":\"Idaho\",\"nation\":\"USA \"}}]}","volume":"2","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-26","publicationStatus":"PW","scienceBaseUri":"5891b0a8e4b072a7ac1298ed","contributors":{"authors":[{"text":"Black, Allison","contributorId":147061,"corporation":false,"usgs":false,"family":"Black","given":"Allison","email":"","affiliations":[{"id":16782,"text":"Institute for Public Health Genetics, UW, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":661803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":661804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedford, Trevor","contributorId":178965,"corporation":false,"usgs":false,"family":"Bedford","given":"Trevor","email":"","affiliations":[],"preferred":false,"id":661805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":661802,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192029,"text":"70192029 - 2016 - Mapping presence and predicting phenological status of invasive buffelgrass in southern Arizona using MODIS, climate and citizen science observation data","interactions":[],"lastModifiedDate":"2017-10-24T13:55:10","indexId":"70192029","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping presence and predicting phenological status of invasive buffelgrass in southern Arizona using MODIS, climate and citizen science observation data","docAbstract":"The increasing spread and abundance of an invasive perennial grass, buffelgrass (Pennisetum ciliare), represents a critical threat to the native vegetation communities of the Sonoran desert in southern Arizona, USA, where buffelgrass eradication is a high priority for resource managers. Herbicidal treatment of buffelgrass is most effective when the vegetation is actively growing, but the remoteness of infestations and the erratic timing and length of the species’ growth periods confound effective treatment. The goal of our research is to promote buffelgrass management by using remote sensing data to detect where the invasive plants are located and when they are photosynthetically active. We integrated citizen scientist observations of buffelgrass phenology in the Tucson, Arizona area with PRISM precipitation data, eight-day composites of 250-m Moderate-resolution Imaging Spectroradiometer (MODIS) satellite imagery, and aerially-mapped polygons of buffelgrass presence to understand dynamics and relationships between precipitation and the timing and amount of buffelgrass greenness from 2011 to 2013. Our results show that buffelgrass responds quickly to antecedent rainfall: in pixels containing buffelgrass, higher correlations (R2 > 0.5) typically occur after two cumulative eight-day periods of rain, whereas in pixels dominated by native vegetation, four prior 8-day periods are required to reach that threshold. Using the new suite of phenometrics introduced here—Climate Landscape Response metrics—we accurately predicted the location of 49% to 55% of buffelgrass patches in Saguaro National Park. These metrics and the suggested guidelines for their use can be employed by resource managers to treat buffelgrass during optimal time periods.
","language":"English","publisher":"MDPI","doi":"10.3390/rs8070524","usgsCitation":"Wallace, C., Walker, J.J., Skirvin, S.M., Patrick-Birdwell, C., Weltzin, J., and Raichle, H., 2016, Mapping presence and predicting phenological status of invasive buffelgrass in southern Arizona using MODIS, climate and citizen science observation data: Remote Sensing, v. 8, no. 7, p. 1-24, https://doi.org/10.3390/rs8070524.","productDescription":"Article 524; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-072868","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8070524","text":"Publisher Index Page"},{"id":347245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Tucson","otherGeospatial":"Saguaro National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.22421264648438,\n 32.04416879077791\n ],\n [\n -110.41534423828124,\n 32.04416879077791\n ],\n [\n -110.41534423828124,\n 32.36488325846306\n ],\n [\n -111.22421264648438,\n 32.36488325846306\n ],\n [\n -111.22421264648438,\n 32.04416879077791\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1dab","contributors":{"authors":[{"text":"Wallace, Cynthia S.A. cwallace@usgs.gov","contributorId":139089,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":713880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jessica J. 0000-0002-3225-0317 jjwalker@usgs.gov","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":169458,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica","email":"jjwalker@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skirvin, Susan M.","contributorId":197598,"corporation":false,"usgs":false,"family":"Skirvin","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patrick-Birdwell, Caroline","contributorId":197599,"corporation":false,"usgs":false,"family":"Patrick-Birdwell","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":713883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":195442,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":137,"text":"Biomonitoring of Environmental Status and Trends Program","active":false,"usgs":true}],"preferred":false,"id":713884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raichle, Helen","contributorId":197600,"corporation":false,"usgs":false,"family":"Raichle","given":"Helen","affiliations":[],"preferred":false,"id":713885,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190674,"text":"70190674 - 2016 - Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana","interactions":[],"lastModifiedDate":"2018-08-09T12:11:51","indexId":"70190674","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana","docAbstract":"Low-flow synoptic sampling campaigns are often used as the primary tool to characterize watersheds affected by mining. Although such campaigns are an invaluable part of site characterization, investigations which focus solely on low-flow conditions may yield misleading results. The objective of this paper is to demonstrate this point and elucidate the mechanisms responsible for the release of metals during rainfall runoff. This objective is addressed using data from diel and synoptic sampling campaigns conducted over a two-day period. Low-flow synoptic sampling results indicate that concentrations of most constituents meet aquatic standards. This finding is in contrast to findings from a diel sampling campaign that captured dramatic increases in concentrations during rainfall runoff. Concentrations during the rising limb of the hydrograph were 2–23 times concentrations observed during synoptic sampling (most increases were >10-fold), remaining elevated during the receding limb of the hydrograph to produce a clockwise hysteresis loop. Hydrologic mechanisms responsible for the release of metals include increased transport due to resuspension of streambed solids, erosion of alluvial tailings, and overland flow. Rainfall also elevated the alluvial groundwater table and increased infiltration through the vadose zone, likely resulting in dissolution from alluvial tailings that were dry prior to the event.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b03190","usgsCitation":"Runkel, R.L., Kimball, B.A., Nimick, D.A., and Walton-Day, K., 2016, Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana: Environmental Science & Technology, v. 50, no. 23, p. 12641-12649, https://doi.org/10.1021/acs.est.6b03190.","productDescription":"9 p.","startPage":"12641","endPage":"12649","ipdsId":"IP-077544","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":345641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Butte","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.5838565826416,\n 45.986526035337306\n ],\n [\n -112.5182819366455,\n 45.986526035337306\n ],\n [\n -112.5182819366455,\n 46.005606753418796\n ],\n [\n -112.5838565826416,\n 46.005606753418796\n ],\n [\n -112.5838565826416,\n 45.986526035337306\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"23","noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"59b8f220e4b08b1644e0aef2","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":710140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179599,"text":"70179599 - 2016 - Defining resilience: A preliminary integrative literature review","interactions":[],"lastModifiedDate":"2017-01-06T14:04:07","indexId":"70179599","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Defining resilience: A preliminary integrative literature review","docAbstract":"The term “resilience” is ubiquitous in technical literature; it appears in numerous forms, such as resilience, resiliency, or resilient, and each use may have a different definition depending on the interpretation of the writer. This creates difficulties in understanding what is meant by ‘resilience’ in any given use case, especially in discussions of interdisciplinary research. To better understand this problem, this research constructs a preliminary integrative literature review to map different definitions, applications and calculation methods of resilience invoked within critical infrastructure applications. The preliminary review uses a State-of-the-Art Matrix (SAM) analysis to characterize differences in definition across disciplines and between regions. Qualifying the various usages of resilience will produce a greater precision in the literature and a deeper insight into types of data required for its evaluation, particularly with respect to critical infrastructure calculations and how such data may be analyzed. Results from this SAM analysis will create a framework of key concepts as part of the most common applications for “resilient critical infrastructure” modeling.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the American Society for Engineering Management 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society for Engineering Management","usgsCitation":"Wilt, B., Long, S.K., and Shoberg, T.G., 2016, Defining resilience: A preliminary integrative literature review, in Proceedings of the American Society for Engineering Management 2016, 10 p.","productDescription":"10 p.","ipdsId":"IP-076921","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":332951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58772079e4b0315b4c11fe32","contributors":{"authors":[{"text":"Wilt, Bonnie","contributorId":178032,"corporation":false,"usgs":false,"family":"Wilt","given":"Bonnie","email":"","affiliations":[],"preferred":false,"id":657821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Suzanna K.","contributorId":146270,"corporation":false,"usgs":false,"family":"Long","given":"Suzanna","email":"","middleInitial":"K.","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":657822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":657820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187400,"text":"70187400 - 2016 - Water isotope systematics: Improving our palaeoclimate interpretations","interactions":[],"lastModifiedDate":"2017-05-01T15:51:05","indexId":"70187400","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Water isotope systematics: Improving our palaeoclimate interpretations","docAbstract":"The stable isotopes of oxygen and hydrogen, measured in a variety of archives, are widely used proxies in Quaternary Science. Understanding the processes that control δ18O change have long been a focus of research (e.g. Shackleton and Opdyke, 1973; Talbot, 1990 ; Leng, 2006). Both the dynamics of water isotope cycling and the appropriate interpretation of geological water-isotope proxy time series remain subjects of active research and debate. It is clear that achieving a complete understanding of the isotope systematics for any given archive type, and ideally each individual archive, is vital if these palaeo-data are to be used to their full potential, including comparison with climate model experiments of the past. Combining information from modern monitoring and process studies, climate models, and proxy data is crucial for improving our statistical constraints on reconstructions of past climate variability.
As climate models increasingly incorporate stable water isotope physics, this common language should aid quantitative comparisons between proxy data and climate model output. Water-isotope palaeoclimate data provide crucial metrics for validating GCMs, whereas GCMs provide a tool for exploring the climate variability dominating signals in the proxy data. Several of the studies in this set of papers highlight how collaborations between palaeoclimate experimentalists and modelers may serve to expand the usefulness of palaeoclimate data for climate prediction in future work.
This collection of papers follows the session on Water Isotope Systematics held at the 2013 AGU Fall Meeting in San Francisco. Papers in that session, the breadth of which are represented here, discussed such issues as; understanding sub-GNIP scale (Global Network for Isotopes in Precipitation, (IAEA/WMO, 2006)) variability in isotopes in precipitation from different regions, detailed examination of the transfer of isotope signals from precipitation to geological archives, and the implications of advances in understanding in these areas for the interpretation of palaeo records and proxy data – climate model comparison.
Here, we briefly review these areas of research, and discuss challenges for the water isotope community in improving our ability to partition climate vs. auxiliary signals in palaeoclimate data.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2015.11.014","usgsCitation":"Jones, M.D., Dee, S., Anderson, L., Baker, A., Bowen, G., and Noone, D., 2016, Water isotope systematics: Improving our palaeoclimate interpretations: Quaternary Science Reviews, v. 131, no. B, p. 243-249, https://doi.org/10.1016/j.quascirev.2015.11.014.","productDescription":"7 p.","startPage":"243","endPage":"249","ipdsId":"IP-071594","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470291,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.quascirev.2015.11.014","text":"External Repository"},{"id":340706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"B","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084923e4b0fc4e448ffd44","contributors":{"authors":[{"text":"Jones, M. D.","contributorId":191681,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dee, S.","contributorId":191682,"corporation":false,"usgs":false,"family":"Dee","given":"S.","email":"","affiliations":[],"preferred":false,"id":693844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, L.","contributorId":22571,"corporation":false,"usgs":false,"family":"Anderson","given":"L.","affiliations":[],"preferred":false,"id":693845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, A.","contributorId":191683,"corporation":false,"usgs":false,"family":"Baker","given":"A.","affiliations":[],"preferred":false,"id":693846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowen, G.","contributorId":191684,"corporation":false,"usgs":false,"family":"Bowen","given":"G.","email":"","affiliations":[],"preferred":false,"id":693847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noone, D.","contributorId":26916,"corporation":false,"usgs":true,"family":"Noone","given":"D.","email":"","affiliations":[],"preferred":false,"id":693848,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187362,"text":"70187362 - 2016 - Spatially explicit models of full-season productivity and implications for landscape management of Golden-winged Warblers in the western Great Lakes Region","interactions":[],"lastModifiedDate":"2020-08-20T20:11:21.12311","indexId":"70187362","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5103,"text":"Studies in Avian Biology","printIssn":"0197-9922","active":true,"publicationSubtype":{"id":24}},"chapter":"9","title":"Spatially explicit models of full-season productivity and implications for landscape management of Golden-winged Warblers in the western Great Lakes Region","docAbstract":"The relationship between landscape structure and composition and full-season productivity (FSP) is poorly understood for most birds. For species of high conservation concern, insight into how productivity is related to landscape structure and composition can be used to develop more effective conservation strategies that increase recruitment. We monitored nest productivity and fledgling survival of Golden-winged Warblers (Vermivora chrysoptera), a species of high conservation concern, in managed forest landscapes at two sites in northern Minnesota, and one site in southeastern Manitoba, Canada from 2010 to 2012. We used logistic exposure models to identify the influence of landscape structure and composition on nest productivity and fledgling survival. We used the models to predict spatially explicit, FSP across our study sites to identify areas of low relative productivity that could be targeted for management. We then used our models of spatially explicit, FSP to simulate the impact of potential management actions on our study sites with the goal of increasing total population productivity. Unlike previous studies that suggested wetland cover types provide higher quality breeding habitat for Golden-winged Warblers, our models predicted 14% greater productivity in upland cover types. Simulated succession of a 9-ha grassland patch to a shrubby upland suitable for nesting increased the total number of fledglings produced by that patch and adjacent upland shrublands by 30%, despite decreasing individual productivity by 13%. Further simulated succession of the same patch described above into deciduous forest reduced the total number of fledglings produced to independence on a landscape by 18% because of a decrease in the area available for nesting. Simulated reduction in the cumulative length of shrubby edge within a 50-m radius of any location in our landscapes from 0.6 to 0.3 km increased FSP by 5%. Our models demonstrated that the effects of any single management action depended on the context of the surrounding landscape. We conclude that spatially explicit, FSP models that incorporate data from both the nesting and postfledging periods are useful for informing breeding habitat management plans for Golden-winged Warblers and that similar models can benefit management planning for
many other species of conservation concern.
The U.S. Geological Survey (USGS) has produced a one‐year (2016) probabilistic seismic‐hazard assessment for the central and eastern United States (CEUS) that includes contributions from both induced and natural earthquakes that are constructed with probabilistic methods using alternative data and inputs. This hazard assessment builds on our 2016 final model (Petersen et al., 2016) by adding sensitivity studies, illustrating hazard in new ways, incorporating new population data, and discussing potential improvements. The model considers short‐term seismic activity rates (primarily 2014–2015) and assumes that the activity rates will remain stationary over short time intervals. The final model considers different ways of categorizing induced and natural earthquakes by incorporating two equally weighted earthquake rate submodels that are composed of alternative earthquake inputs for catalog duration, smoothing parameters, maximum magnitudes, and ground‐motion models. These alternatives represent uncertainties on how we calculate earthquake occurrence and the diversity of opinion within the science community. In this article, we also test sensitivity to the minimum moment magnitude between M 4 and M 4.7 and the choice of applying a declustered catalog with b=1.0 rather than the full catalog with b=1.3. We incorporate two earthquake rate submodels: in the informed submodel we classify earthquakes as induced or natural, and in the adaptive submodel we do not differentiate. The alternative submodel hazard maps both depict high hazard and these are combined in the final model. Results depict several ground‐shaking measures as well as intensity and include maps showing a high‐hazard level (1% probability of exceedance in 1 year or greater). Ground motions reach 0.6g horizontal peak ground acceleration (PGA) in north‐central Oklahoma and southern Kansas, and about 0.2g PGA in the Raton basin of Colorado and New Mexico, in central Arkansas, and in north‐central Texas near Dallas–Fort Worth. The chance of having levels of ground motions corresponding to modified Mercalli intensity (MMI) VI or greater earthquake shaking is 2%–12% per year in north‐central Oklahoma and southern Kansas and New Madrid similar to the chance of damage at sites in high‐hazard portions of California caused by natural earthquakes. Hazard is also significant in the Raton basin of Colorado/New Mexico; north‐central Arkansas; Dallas–Fort Worth, Texas; and in a few other areas. Hazard probabilities are much lower (by about half or more) for exceeding MMI VII or VIII. Hazard is 3‐ to 10‐fold higher near some areas of active‐induced earthquakes than in the 2014 USGS National Seismic Hazard Model (NSHM), which did not consider induced earthquakes. This study in conjunction with the LandScan TM Database (2013) indicates that about 8 million people live in areas of active injection wells that have a greater than 1% chance of experiencing damaging ground shaking (MMI≥VI) in 2016. The final model has high uncertainty, and engineers, regulators, and industry should use these assessments cautiously to make informed decisions on mitigating the potential effects of induced and natural earthquakes.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160072","usgsCitation":"Petersen, M.D., Mueller, C., Moschetti, M.P., Hoover, S.M., Llenos, A.L., Ellsworth, W.L., Michael, A.J., Rubinstein, J.L., McGarr, A.F., and Rukstales, K.S., 2016, Seismic‐hazard forecast for 2016 including induced and natural earthquakes in the central and eastern United States: Seismological Research Letters, v. 87, no. 6, p. 1327-1341, https://doi.org/10.1785/0220160072.","productDescription":"15 p. ","startPage":"1327","endPage":"1341","ipdsId":"IP-076730","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":343873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.2314453125,\n 30.29701788337205\n ],\n [\n -87.36328125,\n 30.86451022625836\n ],\n [\n -81.5625,\n 30.789036751261136\n ],\n [\n -75.76171875,\n 35.31736632923788\n ],\n [\n -75.3662109375,\n 36.94989178681327\n ],\n [\n -72.50976562499999,\n 40.3130432088809\n ],\n [\n -71.3232421875,\n 41.1455697310095\n ],\n [\n -69.2138671875,\n 41.31082388091818\n ],\n [\n -70.400390625,\n 42.71473218539458\n ],\n [\n -69.0380859375,\n 43.70759350405294\n ],\n [\n -67.32421875,\n 44.49650533109348\n ],\n [\n -67.3681640625,\n 45.82879925192134\n ],\n [\n -68.203125,\n 47.30903424774781\n ],\n [\n -69.3896484375,\n 47.21956811231547\n ],\n [\n -70.7958984375,\n 45.24395342262324\n ],\n [\n -75.1025390625,\n 44.96479793033101\n ],\n [\n -76.4208984375,\n 43.929549935614595\n ],\n [\n -78.92578124999999,\n 43.197167282501276\n ],\n [\n -78.914794921875,\n 42.779275360241904\n ],\n [\n -79.332275390625,\n 42.76314586689492\n ],\n [\n -80.277099609375,\n 42.58544425738491\n ],\n [\n -80.61767578124999,\n 42.48019996901214\n ],\n [\n -81.05712890625,\n 42.49640294093705\n ],\n [\n -82.210693359375,\n 42.52069952914966\n ],\n [\n -82.705078125,\n 43.61221676817573\n ],\n [\n -82.6171875,\n 45.1510532655634\n ],\n [\n -83.583984375,\n 46.01222384063236\n ],\n [\n -84.990234375,\n 46.9502622421856\n ],\n [\n -87.978515625,\n 48.07807894349862\n ],\n [\n -91.1865234375,\n 47.989921667414194\n ],\n [\n -95.00976562499999,\n 48.80686346108517\n ],\n [\n -115.04882812499999,\n 48.922499263758255\n ],\n [\n -114.47753906249999,\n 32.58384932565662\n ],\n [\n -109.1162109375,\n 31.015278981711266\n ],\n [\n -106.69921875,\n 31.914867503276223\n ],\n [\n -102.919921875,\n 28.8831596093235\n ],\n [\n -101.953125,\n 29.84064389983441\n ],\n [\n -100.5908203125,\n 28.8831596093235\n ],\n [\n -99.00878906249999,\n 26.54922257769204\n ],\n [\n -96.9873046875,\n 25.681137335685307\n ],\n [\n -97.1630859375,\n 27.566721430409707\n ],\n [\n -95.44921875,\n 28.497660832963472\n ],\n [\n -94.4384765625,\n 29.19053283229458\n ],\n [\n -92.0654296875,\n 29.38217507514529\n ],\n [\n -87.2314453125,\n 30.29701788337205\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-31","publicationStatus":"PW","scienceBaseUri":"5969d82ae4b0d1f9f060a180","contributors":{"authors":[{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":705059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705061,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705062,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70182766,"text":"70182766 - 2016 - Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","interactions":[],"lastModifiedDate":"2019-02-01T15:58:49","indexId":"70182766","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","docAbstract":"This paper provides an overview on the genesis of Mesoproterozoic igneous rocks and associated iron oxide ± apatite (IOA) ± rare earth element, iron oxide-copper-gold (IOCG), and iron-rich sedimentary deposits in the St. Francois Mountains terrane of southeast Missouri, USA. The St. Francois Mountains terrane lies along the southeastern margin of Laurentia as part of the eastern granite-rhyolite province. The province formed during two major pulses of igneous activity: (1) an older early Mesoproterozoic (ca. 1.50–1.44 Ga) episode of volcanism and granite plutonism, and (2) a younger middle Mesoproterozoic (ca. 1.33–1.30 Ga) episode of bimodal gabbro and granite plutonism. The volcanic rocks are predominantly high-silica rhyolite pyroclastic flows, volcanogenic breccias, and associated volcanogenic sediments with lesser amounts of basaltic to andesitic volcanic and associated subvolcanic intrusive rocks. The iron oxide deposits are all hosted in the early Mesoproterozoic volcanic and volcaniclastic sequences. Previous studies have characterized the St. Francois Mountains terrane as a classic, A-type within-plate granitic terrane. However, our new whole-rock geochemical data indicate that the felsic volcanic rocks are effusive derivatives from multicomponent source types, having compositional similarities to A-type within-plate granites as well as to S- and I-type granites generated in an arc setting. In addition, the volcanic-hosted IOA and IOCG deposits occur within bimodal volcanic sequences, some of which have volcanic arc geochemical affinities, suggesting an extensional tectonic setting during volcanism prior to emplacement of the ore-forming systems.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1825","usgsCitation":"Day, W.C., Slack, J.F., Ayuso, R.A., and Seeger, C.M., 2016, Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA: Economic Geology, v. 111, no. 8, p. 1825-1858, https://doi.org/10.2113/econgeo.111.8.1825.","productDescription":"34 p. ","startPage":"1825","endPage":"1858","ipdsId":"IP-067457","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":336811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Mesoproterozoic St. Francois Mountains ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.97503662109375,\n 37.66425503616459\n ],\n [\n -91.51611328125,\n 37.6816466602918\n ],\n [\n -91.4886474609375,\n 37.58594229860422\n ],\n [\n -91.549072265625,\n 37.28716518793858\n ],\n [\n -91.571044921875,\n 36.760891249565624\n ],\n [\n -91.37603759765625,\n 36.53832942872818\n ],\n [\n -91.10687255859375,\n 36.58245213849012\n ],\n [\n -90.69488525390625,\n 36.53612263184686\n ],\n [\n -90.3900146484375,\n 36.551568887374\n ],\n [\n -90.076904296875,\n 36.55377524336089\n ],\n [\n -89.8846435546875,\n 36.56039393337068\n ],\n [\n -89.64569091796874,\n 36.53832942872818\n ],\n [\n -89.61273193359375,\n 36.586863023441836\n ],\n [\n -89.53582763671875,\n 36.62654964428433\n ],\n [\n -89.43145751953125,\n 36.57142382346277\n ],\n [\n -89.41497802734375,\n 36.63757008123925\n ],\n [\n -89.3408203125,\n 36.66621584042748\n ],\n [\n -89.25018310546875,\n 36.62434536776987\n ],\n [\n -89.20623779296875,\n 36.63316209558658\n ],\n [\n -89.197998046875,\n 36.83346996591303\n ],\n [\n -89.154052734375,\n 36.92793899776678\n ],\n [\n -89.17327880859375,\n 36.94989178681327\n ],\n [\n -89.2364501953125,\n 36.98280911070616\n ],\n [\n -89.25567626953125,\n 36.96964388918142\n ],\n [\n -89.373779296875,\n 37.00255267215955\n ],\n [\n -89.41223144531249,\n 37.046408899699564\n ],\n [\n -89.43145751953125,\n 37.092430683283474\n ],\n [\n -89.46990966796875,\n 37.19314268101434\n ],\n [\n -89.50286865234375,\n 37.23470197166817\n ],\n [\n -89.549560546875,\n 37.26312408340919\n ],\n [\n -89.56878662109375,\n 37.33304051804567\n ],\n [\n -89.461669921875,\n 37.385435182627226\n ],\n [\n -89.46441650390625,\n 37.411618795843026\n ],\n [\n -89.5166015625,\n 37.49883141715704\n ],\n [\n -89.593505859375,\n 37.65338320128765\n ],\n [\n -90.97503662109375,\n 37.66425503616459\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"58ba8ebde4b0bcef64f0b93b","contributors":{"authors":[{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":673676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":673677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":680561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seeger, Cheryl M.","contributorId":63848,"corporation":false,"usgs":true,"family":"Seeger","given":"Cheryl","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191678,"text":"70191678 - 2016 - A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series","interactions":[],"lastModifiedDate":"2017-10-25T12:42:00","indexId":"70191678","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series","docAbstract":"The Pliocene, specifically the late Pliocene, has been a focus of paleoclimate research formore than 25 years. Synoptic regional\nand global reconstructions along with high-resolution time-series have produced nuanced conceptual models of paleoenvironmental\nconditions and enhanced our understanding of climate variability and climate sensitivity from the Late Pliocene, the most\nrecent interval of global warmth similar to what is projected for the end of the 21st century. These data are used as a source of boundary\nconditions for climate models as well as ameans of verification of global climate model experiments. In this note, we introduce a measure\nof stratigraphic fidelity, ß, used to characterize the chronology and achievable resolution of an ever-growing library of Pliocene\npaleoenvironmental time-series. The ß index serves as an aid to end-users by allowing selection of time-series that meet the stratigraphic\nrequirements of a particular study.","language":"English","publisher":"MicroPress","usgsCitation":"Dowsett, H.J., Robinson, M.M., and Foley, K.M., 2016, A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series: Stratigraphy, v. 13, no. 4, p. 303-305.","productDescription":"3 p.","startPage":"303","endPage":"305","ipdsId":"IP-086569","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346751,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-329"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a6e4b0220bbd9d9f67","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":713039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":713040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":713041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193576,"text":"70193576 - 2016 - U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","interactions":[],"lastModifiedDate":"2017-11-29T14:22:12","indexId":"70193576","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Field Guide 44","title":"U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","docAbstract":"This 2016 Geological Society of America (GSA) Annual Meeting trip will explore\nthe Core Research Center, Paleontological Collection, and National Science Foundation\nNational Ice Core Laboratory—three collections of major national signifi cance\nmanaged by the U.S. Geological Survey (USGS). Since its inception in 1879, USGS\nhas collected, preserved, and managed physical collections for scientifi c investigations\nof Earth’s systems. The Core Research Center is the largest federal core repository\nin the United States, where over 74 million meters (242 million feet) of the subsurface\nare represented by the collection of rock cores and well cuttings, available for use by\nresearchers investigating resource potential, tectonics, structures, aquifers, and more.\nThe USGS has conducted paleontological research for more than 110 years to\ninform geological mapping, biostratigraphy, paleoecology, paleoclimate, and other\nresearch. Most of these paleontological samples are at the Smithsonian Institution\nNational Museum of Natural History (NMNH) and USGS Denver facilities. The\nUSGS Denver paleontological collection includes ~1.2 million samples. Ancillary\nmaterials consisting of handwritten ledgers, index cards, fi eld reports, maps, and\nother information produced by USGS investigators provide profound knowledge\nabout the specimens and associated geological systems. The USGS is working with\nNMNH to systematically digitize the collection to preserve and expose samples and\ndata to research.\nThe National Science Foundation (NSF) National Ice Core Laboratory (NICL) is\nthe nation’s repository for preserving, archiving, and sampling meteoric ice cores collected\nfrom the world’s ice sheets, ice caps, and glaciers, mostly from Antarctica and\nGreenland. NICL’s primary mission is to store and curate ice cores, primarily collected\nduring NSF-sponsored projects, for present and future sample investigations.","largerWorkTitle":"Unfolding the Geology of the West","language":"English","publisher":"The Geological Society of America","doi":"10.1130/2016.0044(06)","usgsCitation":"Latysh, N., 2016, U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory, chap. of Unfolding the Geology of the West, p. 143-150, https://doi.org/10.1130/2016.0044(06).","productDescription":"8 p.","startPage":"143","endPage":"150","ipdsId":"IP-075555","costCenters":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"links":[{"id":349557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348070,"type":{"id":15,"text":"Index Page"},"url":"https://rock.geosociety.org/Store/detail.aspx?id=FLD044"}],"country":"United States","state":"Colorado","city":"Denver","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e17","contributors":{"authors":[{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":719417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173826,"text":"70173826 - 2016 - Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","interactions":[],"lastModifiedDate":"2017-11-08T17:24:55","indexId":"70173826","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","docAbstract":"Transmissivity is a bulk hydraulic property that can be correlated with bulk electrical properties of an aquifer. In aquifers that are electrically-resistive relative to adjacent layers in a horizontally stratified sequence, transmissivity has been shown to correlate with bulk transverse resistance. Conversely, in aquifers that are electrically-conductive relative to adjacent layers, transmissivity has been shown to correlate with bulk longitudinal conductance. In both cases, previous investigations have relied on small datasets (on average less than eight observations) that have yielded coefficients of determination (R2) that are typically in the range of 0.6 to 0.7 to substantiate these relations. Compared to previous investigations, this paper explores hydraulic-electrical relations using a much larger dataset. Geophysical data collected from 26 boreholes in Emirate Abu Dhabi, United Arab Emirates, are used to correlate transmissivity modeled from neutron porosity logs to the bulk electrical properties of the surficial aquifer that are computed from deep-induction logs. Transmissivity is found to be highly correlated with longitudinal conductance. An R2 value of 0.853 is obtained when electrical effects caused by variations in pore-fluid salinity are taken into consideration.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems","conferenceDate":"March 20-24, 2016","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Exploration Geophysicists and Environment and Engineering Geophysical Society","doi":"10.4133/SAGEEP.29-060","issn":"1554-8015","usgsCitation":"Ikard, S., and Kress, W.H., 2016, Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi, in Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, Denver, CO, March 20-24, 2016, p. 340-353, https://doi.org/10.4133/SAGEEP.29-060.","productDescription":"14 p.","startPage":"340","endPage":"353","ipdsId":"IP-070679","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":348522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453d0","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638522,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196908,"text":"70196908 - 2016 - Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","interactions":[],"lastModifiedDate":"2018-05-14T13:17:12","indexId":"70196908","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","title":"Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","docAbstract":"Satellite telemetry was used to investigate summer and winter home ranges for resident and migrant American White Pelicans (Pelecanus erythrorhynchos) captured in the southeastern United States between 2002 and 2007. Home range utilization distributions were calculated using 50% and 95% kernel density estimators with the plug-in bandwidth selector. Mean summer home ranges (95%) varied from 177 to 4,710 km2 and mean winter home ranges (95%) ranged from 185 to 916 km2. Mean 50% and 95% home ranges of adult American White Pelicans during summer tended to be larger than those during winter, whereas mean 50% and 95% home ranges of immature pelicans during summer tended to be smaller than those during winter. Home ranges for all American White Pelicans encompassed the latitude range of 24°–55° N, including wintering, stop over, and nesting habitat. These data provide baseline movement and home range data for future studies of American White Pelican ecology.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0308","usgsCitation":"King, D.T., Fischer, J.W., Strickland, B.K., Walter, W.D., Cunningham, F.L., and Wang, G., 2016, Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States: Waterbirds, v. 39, no. 3, p. 287-294, https://doi.org/10.1675/063.039.0308.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-073597","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.2841796875,\n 27.916766641249065\n ],\n [\n -83.5400390625,\n 27.916766641249065\n ],\n [\n -83.5400390625,\n 36.73888412439431\n ],\n [\n -96.2841796875,\n 36.73888412439431\n ],\n [\n -96.2841796875,\n 27.916766641249065\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee922e4b0da30c1bfc529","contributors":{"authors":[{"text":"King, D. Tommy","contributorId":204839,"corporation":false,"usgs":false,"family":"King","given":"D.","email":"","middleInitial":"Tommy","affiliations":[],"preferred":false,"id":735085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Justin W.","contributorId":171828,"corporation":false,"usgs":false,"family":"Fischer","given":"Justin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":735086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Bronson K.","contributorId":146266,"corporation":false,"usgs":false,"family":"Strickland","given":"Bronson","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":735087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cunningham, Fred L.","contributorId":176522,"corporation":false,"usgs":false,"family":"Cunningham","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":735088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Guiming","contributorId":204820,"corporation":false,"usgs":false,"family":"Wang","given":"Guiming","email":"","affiliations":[],"preferred":false,"id":735089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}