{"pageNumber":"311","pageRowStart":"7750","pageSize":"25","recordCount":46706,"records":[{"id":70205455,"text":"70205455 - 2018 - Thresholds of lake and reservoir connectivity in river networks control nitrogen removal","interactions":[],"lastModifiedDate":"2020-09-01T14:05:16.435219","indexId":"70205455","displayToPublicDate":"2019-07-17T18:32:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds of lake and reservoir connectivity in river networks control nitrogen removal","docAbstract":"

Lakes, reservoirs, and other ponded waters are ubiquitous features of the aquatic landscape, yet their cumulative role in nitrogen removal in large river basins is often unclear. Here we use predictive modeling, together with comprehensive river water quality, land use, and hydrography datasets, to examine and explain the influences of more than 18,000 ponded waters on nitrogen removal through river networks of the Northeastern United States. Thresholds in pond density where ponded waters become important features to regional nitrogen removal are identified and shown to vary according to a ponded waters’ relative size, network position, and degree of connectivity to the river network, which suggests worldwide importance of these new metrics. Consideration of the interacting physical and biological factors, along with thresholds in connectivity, reveal where, why, and how much ponded waters function differently than streams in removing nitrogen, what regional water quality outcomes may result, and in what capacity management strategies could most effectively achieve desired nitrogen loading reduction.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-05156-x","usgsCitation":"Schmadel, N.M., Harvey, J., Alexander, R., Schwarz, G., Moore, R., Eng, K., Gomez-Velez, J., Boyer, E.W., and Scott, D., 2018, Thresholds of lake and reservoir connectivity in river networks control nitrogen removal: Nature Communications, v. 9, 2779, 10 p., https://doi.org/10.1038/s41467-018-05156-x.","productDescription":"2779, 10 p.","ipdsId":"IP-093046","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-05156-x","text":"Publisher Index Page"},{"id":367536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, District of Columbia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode island, Vermont, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.884765625,\n 44.37098696297173\n ],\n [\n -66.884765625,\n 44.99588261816546\n ],\n [\n -67.67578124999999,\n 45.82879925192134\n ],\n [\n -67.8515625,\n 47.368594345213374\n ],\n [\n -69.2138671875,\n 47.517200697839414\n ],\n [\n -71.19140625,\n 45.398449976304086\n ],\n [\n -71.8505859375,\n 44.99588261816546\n ],\n [\n -74.3994140625,\n 45.182036837015886\n ],\n [\n -76.81640625,\n 42.74701217318067\n ],\n [\n -77.6953125,\n 40.81380923056958\n ],\n [\n -79.40917968749999,\n 39.40224434029275\n ],\n [\n -79.27734374999999,\n 37.50972584293751\n ],\n [\n -78.9697265625,\n 36.914764288955936\n ],\n [\n -75.234375,\n 36.38591277287651\n ],\n [\n -73.125,\n 40.111688665595956\n ],\n [\n -69.2578125,\n 41.11246878918088\n ],\n [\n -66.884765625,\n 44.37098696297173\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmadel, Noah M.","contributorId":219098,"corporation":false,"usgs":false,"family":"Schmadel","given":"Noah","email":"","middleInitial":"M.","affiliations":[{"id":39961,"text":"USGS Post-Doc","active":true,"usgs":false}],"preferred":false,"id":771257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson","contributorId":219097,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Richard 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":219099,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","affiliations":[],"preferred":true,"id":771258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":219100,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[],"preferred":false,"id":771259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Richard","contributorId":219101,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","affiliations":[],"preferred":true,"id":771260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":771261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez-Velez, Jesus D.","contributorId":219103,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus D.","affiliations":[{"id":39962,"text":"Department of Earth & Environmental Science, New Mexico Institute of Mining and Technology, Socorro, New Mexico, USA","active":true,"usgs":false}],"preferred":false,"id":771262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":771263,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scott, Durelle","contributorId":219088,"corporation":false,"usgs":false,"family":"Scott","given":"Durelle","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":771264,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195984,"text":"tm4B5 - 2018 - Guidelines for determining flood flow frequency — Bulletin 17C","interactions":[{"subject":{"id":70275162,"text":"70275162 - 1982 - Guidelines for determining flood flow frequency: Bulletin #17B of the Hydrology Subcommittee","indexId":"70275162","publicationYear":"1982","noYear":false,"title":"Guidelines for determining flood flow frequency: Bulletin #17B of the Hydrology Subcommittee"},"predicate":"SUPERSEDED_BY","object":{"id":70195984,"text":"tm4B5 - 2018 - Guidelines for determining flood flow frequency — Bulletin 17C","indexId":"tm4B5","publicationYear":"2018","noYear":false,"title":"Guidelines for determining flood flow frequency — Bulletin 17C"},"id":1}],"lastModifiedDate":"2024-03-28T13:15:23.826606","indexId":"tm4B5","displayToPublicDate":"2019-07-16T10:55:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-B5","title":"Guidelines for determining flood flow frequency — Bulletin 17C","docAbstract":"

Accurate estimates of flood frequency and magnitude are a key component of any effective nationwide flood risk management and flood damage abatement program. In addition to accuracy, methods for estimating flood risk must be uniformly and consistently applied because management of the Nation’s water and related land resources is a collaborative effort involving multiple actors including most levels of government and the private sector.

Flood frequency guidelines have been published in the United States since 1967, and have undergone periodic revisions. In 1967, the U.S. Water Resources Council presented a coherent approach to flood frequency with Bulletin 15, “A Uniform Technique for Determining Flood Flow Frequencies.” The method it recommended involved fitting the log-Pearson Type III distribution to annual peak flow data by the method of moments.

The first extension and update of Bulletin 15 was published in 1976 as Bulletin 17, “Guidelines for Determining Flood Flow Frequency” (Guidelines). It extended the Bulletin 15 procedures by introducing methods for dealing with outliers, historical flood information, and regional skew. Bulletin 17A was published the following year to clarify the computation of weighted skew. The next revision of the Bulletin, the Bulletin 17B, provided a host of improvements and new techniques designed to address situations that often arise in practice, including better methods for estimating and using regional skew, weighting station and regional skew, detection of outliers, and use of the conditional probability adjustment.

The current version of these Guidelines are presented in this document, denoted Bulletin 17C. It incorporates changes motivated by four of the items listed as “Future Work” in Bulletin 17B and 30 years of post-17B research on flood processes and statistical methods. The updates include: adoption of a generalized representation of flood data that allows for interval and censored data types; a new method, called the Expected Moments Algorithm, which extends the method of moments so that it can accommodate interval data; a generalized approach to identification of low outliers in flood data; and an improved method for computing confidence intervals.

Federal agencies are requested to use these Guidelines in all planning activities involving water and related land resources. State, local, and private organizations are encouraged to use these Guidelines to assure uniformity in the flood frequency estimates that all agencies concerned with flood risk should use for Federal planning decisions.

This revision is adopted with the knowledge and understanding that review of these procedures will be ongoing. Updated methods will be adopted when warranted by experience and by examination and testing of new techniques.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Surface water in Book 4: Hydrologic analysis and interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4B5","isbn":"978-1-4113-4223-1","usgsCitation":"England, J.F., Jr., Cohn, T.A., Faber, B.A., Stedinger, J.R., Thomas, W.O., Jr., Veilleux, A.G., Kiang, J.E., and Mason, R.R., Jr., 2018, Guidelines for determining flood flow frequency — Bulletin 17C (ver. 1.1, May 2019): U.S. Geological Survey Techniques and Methods, book 4, chap. B5, 148 p., https://doi.org/10.3133/tm4B5.","productDescription":"xiii, 148 p.","numberOfPages":"168","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-065340","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":352936,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://acwi.gov/hydrology/Frequency/b17c/","text":"Advisory Committee on Water Information - Bulletin 17C"},{"id":352416,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/b05/tm4b5.pdf","text":"Report","size":"29.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 4-B5"},{"id":352415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/b05/coverthb2.jpg"},{"id":399694,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_107081.htm"},{"id":363942,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/04/b05/versionHist.pdf","size":"153 KB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Georgia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.5178,\n 33.9703\n ],\n [\n -83.8928,\n 33.9703\n ],\n [\n -83.8928,\n 34.2625\n ],\n [\n -84.5178,\n 34.2625\n ],\n [\n -84.5178,\n 33.9703\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: May 31, 2019","publicComments":"This report is Chapter 5 of Section B: Surface water in Book 4: Hydrologic analysis and interpretation.","contact":"

Chief, Analysis and Prediction Branch
Integrated Modeling and Prediction Division
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 415
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-03-29","revisedDate":"2019-05-31","noUsgsAuthors":false,"publicationDate":"2018-03-29","publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfb9","contributors":{"authors":[{"text":"England, John F. Jr. 0000-0001-5563-6274","orcid":"https://orcid.org/0000-0001-5563-6274","contributorId":203275,"corporation":false,"usgs":false,"family":"England","given":"John F.","suffix":"Jr.","affiliations":[{"id":27611,"text":"US Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":730800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":730798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faber, Beth A.","contributorId":203274,"corporation":false,"usgs":false,"family":"Faber","given":"Beth A.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":730799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stedinger, Jery R. 0000-0002-7081-729X","orcid":"https://orcid.org/0000-0002-7081-729X","contributorId":203276,"corporation":false,"usgs":false,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":730801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Wilbert O. Jr.","contributorId":203277,"corporation":false,"usgs":false,"family":"Thomas","given":"Wilbert","suffix":"Jr.","email":"","middleInitial":"O.","affiliations":[{"id":36594,"text":"Michael Baker Interational","active":true,"usgs":false}],"preferred":false,"id":730802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Veilleux, Andrea G. 0000-0002-8742-4660 aveilleux@usgs.gov","orcid":"https://orcid.org/0000-0002-8742-4660","contributorId":203278,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":730803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":730804,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":730805,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202410,"text":"70202410 - 2018 - Water use in Louisiana, 2015","interactions":[],"lastModifiedDate":"2022-06-17T14:44:18.600278","indexId":"70202410","displayToPublicDate":"2019-03-01T12:54:56","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5809,"text":"Water Resources Special Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"18","title":"Water use in Louisiana, 2015","docAbstract":"

In 2015, approximately 8,720 million gallons per day (Mgal/d) of water was withdrawn from groundwater and surface-water sources in Louisiana, a 2.6 percent increase from 2010. Total groundwater withdrawals were about 1,750 Mgal/d, an increase of 12 percent from 2010, and total surface-water withdrawals were about 6,970 Mgal/d, an increase of 0.44 percent from 2010 to 2015.

Total water withdrawals, in Mgal/d, in 2015 for the various categories of use were as follows: public supply—715, industry—2,155, power generation—4,265, rural domestic—39, livestock—6, rice irrigation—825, general irrigation—225, and aquaculture—490. From 2010 to 2015, Louisiana’s total withdrawals for public supply decreased by 3.4 percent, industry increased by 5.7 percent, power generation decreased by 3.9 percent, rural domestic decreased by 4.1 percent, livestock decreased by 21 percent, rice irrigation increased by 20 percent, general irrigation decreased by 6.0 percent, and aquaculture increased by 58 percent.

About 48 percent (approximately 850 Mgal/d) of all groundwater withdrawn was from the Chicot aquifer system and 22 percent (approximately 385 Mgal/d) was withdrawn from the Mississippi River alluvial aquifer. Since 2010, withdrawals from the Chicot aquifer system increased by 30 percent and withdrawals from the Mississippi River alluvial aquifer decreased by 2.9 percent.

About 70 percent (4,905 Mgal/d) of all surface water withdrawn was from the Mississippi River mainstem. This value represents a 1.1-percent decrease in withdrawals from 2010 to 2015.

All water-withdrawal and water-use data presented in this report should be considered estimates. Because of rounding, totals and percentages presented in the tables, figures, and text in the report may differ slightly from totals or percentages calculated individually

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Pierre 0000-0002-3967-9036 psargent@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-9036","contributorId":1228,"corporation":false,"usgs":true,"family":"Sargent","given":"B.","email":"psargent@usgs.gov","middleInitial":"Pierre","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758608,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201558,"text":"sim3402 - 2018 - Surficial materials of Massachusetts—A 1:24,000-scale geologic map database","interactions":[],"lastModifiedDate":"2022-02-03T15:37:52.987287","indexId":"sim3402","displayToPublicDate":"2019-03-01T11:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3402","displayTitle":"Surficial Materials of Massachusetts—A 1:24,000-Scale Geologic Map Database","title":"Surficial materials of Massachusetts—A 1:24,000-scale geologic map database","docAbstract":"

The surficial materials geologic map database defines the distribution of nonlithified earth materials at the land surface in the 189 7.5-minute, 1:24,000-scale quadrangles that cover the Commonwealth of Massachusetts (index map). Across the State, these materials range in thickness from a few feet to more than 500 feet (ft). In some places, surficial materials are absent where bedrock is at the land surface. The geologic map database differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (such as grain size and sedimentary structures), constructional geomorphic features, stratigraphic relationships, and age. The mapped distribution of surficial materials defines the areas of exposed bedrock and the boundaries between glacial till, glacial stratified deposits, and overlying postglacial deposits at a 1:24,000-scale level of accuracy.

Most of the surficial materials in Massachusetts are deposits of the last two continental ice sheets that covered all of New England in the latter part of the Pleistocene ice age. The glacial deposits are divided into two broad categories, glacial till and moraine deposits, and glacial stratified deposits. Widespread till deposits were laid down directly on bedrock or on semi-consolidated coastal plain strata by glacier ice. Tills in thick-till (>15 ft thick) drumlin landforms are found in all parts of the State. Areas of shallow bedrock contain thin discontinuous till deposits and numerous bedrock outcrops, and are located chiefly in rocky upland areas. Moraine deposits related to glacial ice lobes of the last ice sheet are located mostly in southeastern Massachusetts. Glacial stratified deposits are concentrated in valleys and lowland areas and were laid down by glacial meltwater in streams, lakes, and the sea in front of the retreating ice margin during the last deglaciation. Postglacial deposits, primarily flood-plain alluvium and swamp deposits, make up a lesser proportion of the unconsolidated materials.

The geodatabase included with this report contains MapUnitPolys, MapUnitOverlayPolys, and OverlayPolys, which show the distribution of geologic units that cover the entire map area and are intended for use at quadrangle scale (1:24,000). These data layers can be clipped by quadrangle or by town boundary. Unlike the units in conventional geologic maps, the digitally defined MapUnitOverlayPolys are arranged in order according to superposition. The polygons for till and bedrock are on the bottom and are overlain by the succeeding stratified deposits; these materials are shown everywhere they occur, including beneath postglacial deposits such as swamp deposits, and also beneath water bodies. The postglacial deposits are on top because these materials overlie the other, older deposits. Instructions for using the digital files are included in the README file. A series of map figures in the pamphlet illustrates the stacking of geologic units in a portion of the Mount Toby quadrangle. The BaseMaps folder contains the 1:24,000-scale topographic base map images (1944–1977 editions) used for this compilation.

This report supersedes U.S. Geological Survey Open-File Reports 2006-1260-A, -B, -C, -D, -E, -F, -G, and -I.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3402","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Massachusetts Geological Survey and Executive Office for Administration and Finance","usgsCitation":"Stone, J.R., Stone, B.D., DiGiacomo-Cohen, M.L., and Mabee, S.B., comps., 2018, Surficial materials of Massachusetts—A 1:24,000-scale geologic map database: U.S. Geological Survey Scientific Investigations Map 3402, 189 sheets, scale 1:24,000; index map, scale 1:250,000; 58-p. pamphlet; and geodatabase files, https://doi.org/10.3133/sim3402.","productDescription":"Pamphlet: iv, 58 p.; Index Map; Quandrangle Map Sheets; Metadata; Read Me; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066389","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":361110,"rank":9,"type":{"id":23,"text":"Spatial 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MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- sim3402_simple.zip contains an automatic translation of most of the contents of SIM3402.gdb into simple flat shapefiles, and contains metadata"},{"id":361232,"rank":10,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3402/sim3402_open.zip","text":"Geodatabase","size":"311 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- sim3402_open.zip contains a complete, automatic translation of SIM3402.gdb into shapefiles and other files, and contains metadata"},{"id":361577,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3402/sim3402_metadata.xml","text":"SIM 3402 - Metadata","size":"29.6 KB xml"},{"id":361200,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3402/sim3402_metadata.txt","text":"SIM 3402 - Metadata","size":"35.1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":361199,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3402/sim3402_quadranglespdfs.zip","text":"Maps of Quadrangles 1–189","size":"3.12 GB","linkFileType":{"id":6,"text":"zip"}},{"id":361334,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3402/sim3402_quadrangle","text":"Individual Quadrangle Map Sheets","size":"938 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":361201,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3402/sim3402_index_map.pdf","text":"Index Map","size":"25.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":361100,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3402/sim3402.pdf","text":"Report Pamphlet","size":"22.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3402"}],"country":"United 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\"}}]}","contact":"

Florence Bascom Geoscience Center 
(Formerly Eastern Geology and Paleoclimate Science Center)
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-01","noUsgsAuthors":false,"publicationDate":"2019-03-01","publicationStatus":"PW","contributors":{"compilers":[{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":756817,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","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":756818,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"DiGiacomo-Cohen, Mary L. 0000-0003-2384-8912 mdicohen@usgs.gov","orcid":"https://orcid.org/0000-0003-2384-8912","contributorId":2527,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","email":"mdicohen@usgs.gov","middleInitial":"L.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":756819,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Mabee, Stephen B.","contributorId":211593,"corporation":false,"usgs":false,"family":"Mabee","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":756820,"contributorType":{"id":3,"text":"Compilers"},"rank":4}]}} ,{"id":70200501,"text":"70200501 - 2018 - Correlation of the Tuscaloosa marine shale in Mississippi, Louisiana, and east Texas, U.S.A.","interactions":[],"lastModifiedDate":"2019-06-18T09:12:56","indexId":"70200501","displayToPublicDate":"2019-02-08T11:18:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5794,"text":"GCAGS Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Correlation of the Tuscaloosa marine shale in Mississippi, Louisiana, and east Texas, U.S.A.","docAbstract":"The U.S. Geological Survey (USGS) completed an assessment of undiscovered, technically recoverable unconventional petroleum resources in the Upper Cretaceous marine shale of the Tuscaloosa Group (Tuscaloosa marine shale; TMS) in 2018. As part of the geologic characterization in preparation for the assessment, a series of wireline log cross sections were constructed to illustrate TMS thickness trends and aid in the delineation of the assessment unit (AU). Lithostratigraphic units were correlated based on gamma ray, spontaneous potential, and resistivity log responses and generally follow the classic stratigraphic nomenclature first proposed in the 1960s. Correlated stratigraphic units include (from youngest to oldest) the Austin Group, Eagle Ford Shale, upper Tuscaloosa, Tuscaloosa marine shale, lower Tuscaloosa, and Lower Cretaceous. A high resistivity zone (HRZ) in the basal Tuscaloosa marine shale was delineated where resistivity was greater than 5 ohm-meters and high resistivity sections were separated by less than 20 feet of low resistivity shale. The HRZ was identified regionally and might indicate petroleum accumulations in the TMS. Third-party biostratigraphic data from wells in Mississippi and Louisiana were integrated into the well control, which aided wireline log correlation. Cross sections depict east-west thinning of the TMS onto the Sabine uplift and north-south thickening of the TMS off of the Lower Cretaceous shelf margin. The western boundary of the USGS-defined Tuscaloosa Marine Shale Continuous Oil AU was drawn in western Louisiana near the Texas-Louisiana state border based on stratigraphic thinning of the Upper Cretaceous section onto the structural high of the Sabine uplift as projected downdip.","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Rouse, W.A., Enomoto, C.B., and Gianoutsos, N.J., 2018, Correlation of the Tuscaloosa marine shale in Mississippi, Louisiana, and east Texas, U.S.A.: GCAGS Transactions, v. 68, p. 461-476.","productDescription":"16 p.","startPage":"461","endPage":"476","ipdsId":"IP-097830","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359628,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.gcags.org/exploreanddiscover/2018/00384_rouse_et_al.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":364758,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/068/068001/461_gcags680461.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana, Mississippi, Texas","otherGeospatial":"Tuscaloosa Marine Shale","volume":"68","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rouse, William A. 0000-0002-0790-370X wrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0790-370X","contributorId":4172,"corporation":false,"usgs":true,"family":"Rouse","given":"William","email":"wrouse@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201780,"text":"70201780 - 2018 - Landsat benefiting society for fifty years","interactions":[{"subject":{"id":70268821,"text":"70268821 - 2018 - Addressing the water consumption riddle","indexId":"70268821","publicationYear":"2018","noYear":false,"title":"Addressing the water consumption riddle"},"predicate":"IS_PART_OF","object":{"id":70201780,"text":"70201780 - 2018 - Landsat benefiting society for fifty years","indexId":"70201780","publicationYear":"2018","noYear":false,"title":"Landsat benefiting society for fifty years"},"id":1},{"subject":{"id":70268822,"text":"70268822 - 2018 - After the fire: Landsat helps map the way forward","indexId":"70268822","publicationYear":"2018","noYear":false,"title":"After the fire: Landsat helps map the way forward"},"predicate":"IS_PART_OF","object":{"id":70201780,"text":"70201780 - 2018 - Landsat benefiting society for fifty years","indexId":"70201780","publicationYear":"2018","noYear":false,"title":"Landsat benefiting society for fifty years"},"id":2}],"lastModifiedDate":"2025-07-08T14:19:17.321439","indexId":"70201780","displayToPublicDate":"2019-02-01T13:24:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Landsat benefiting society for fifty years","docAbstract":"

Since 1972, data acquired by the Landsat series of satellites have become integral to land management for both government and the private sector, providing scientists and decision makers with key information about agricultural productivity, ice sheet dynamics, urban growth, forest monitoring, natural resource management, water quality, and supporting disaster response.

Landsat 9 continues the mission of unrivaled space-based Earth observation and will lead the Landsat program into its second half century of Earth imagery provided to users, worldwide, at no charge. More than 8 million Landsat scenes held in the USGS archive to date are used in conjunction with advanced geographic information systems, image processing software, and cloud computing capabilities to enable Landsat users to study changes on the Earth’s surface across continental regions and extended time periods.

The Operational Land Imager 2 (OLI-2) and the Thermal Infrared Sensor 2 (TIRS-2) instruments onboard Landsat 9 —which replicate the technologically-advanced instruments introduced onboard Landsat 8—allow for the collection of continuous high-quality data required for advancing Earth applications, including our ability to map surface temperature and surface water quality.

Landsat 9 will build on the Landsat legacy, achieving a half-century record of global Earth observations.

","language":"English","publisher":"NASA","usgsCitation":"Rocchio, L., Connot, P., Young, S., Ramsayer, K., Owen, L., Bouchard, M., and Barnes, C., 2018, Landsat benefiting society for fifty years, 60 p.","productDescription":"60 p.","onlineOnly":"Y","ipdsId":"IP-103742","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":361030,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":399495,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://landsat.gsfc.nasa.gov/wp-content/uploads/2019/02/Case_Studies_Book2018_Landsat_Final_12x9web.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rocchio, Laura E. P.","contributorId":212822,"corporation":false,"usgs":false,"family":"Rocchio","given":"Laura E. P.","affiliations":[],"preferred":false,"id":756680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connot, Peggy 0000-0002-8474-8096","orcid":"https://orcid.org/0000-0002-8474-8096","contributorId":212823,"corporation":false,"usgs":true,"family":"Connot","given":"Peggy","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":756681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Steve 0000-0002-7904-9696","orcid":"https://orcid.org/0000-0002-7904-9696","contributorId":212824,"corporation":false,"usgs":true,"family":"Young","given":"Steve","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":756682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsayer, Kate","contributorId":212825,"corporation":false,"usgs":false,"family":"Ramsayer","given":"Kate","email":"","affiliations":[],"preferred":false,"id":756683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Owen, Linda 0000-0002-1734-5406","orcid":"https://orcid.org/0000-0002-1734-5406","contributorId":212826,"corporation":false,"usgs":true,"family":"Owen","given":"Linda","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":756684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bouchard, Michelle 0000-0002-6353-3491 mbouchard@usgs.gov","orcid":"https://orcid.org/0000-0002-6353-3491","contributorId":3765,"corporation":false,"usgs":true,"family":"Bouchard","given":"Michelle","email":"mbouchard@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":756685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":756686,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202177,"text":"70202177 - 2018 - Preliminary assessment of stable nitrogen and oxygen isotopic composition of USGS51 and USGS52 nitrous oxide reference gases and perspectives on calibration needs","interactions":[],"lastModifiedDate":"2019-02-12T16:46:35","indexId":"70202177","displayToPublicDate":"2019-01-01T16:46:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary assessment of stable nitrogen and oxygen isotopic composition of USGS51 and USGS52 nitrous oxide reference gases and perspectives on calibration needs","docAbstract":"

Rationale

Despite a long history and growing interest in isotopic analyses of N2O, there is a lack of isotopically characterized N2O isotopic reference materials (standards) to enable normalization and reporting of isotope‐delta values. Here we report the isotopic characterization of two pure N2O gas reference materials, USGS51 and USGS52, which are now available for laboratory calibration (https://isotopes.usgs.gov/lab/referencematerials.html).

Methods

A total of 400 sealed borosilicate glass tubes of each N2O reference gas were prepared from a single gas filling of a high vacuum line. We demonstrated isotopic homogeneity via dual‐inlet isotope‐ratio mass spectrometry. Isotopic analyses of these reference materials were obtained from eight laboratories to evaluate interlaboratory variation and provide preliminary isotopic characterization of their δ15N, δ18O, δ15Nα, δ15Nβ and site preference (SP) values.

Results

The isotopic homogeneity of both USGS51 and USGS52 was demonstrated by one‐sigma standard deviations associated with the determinations of their δ15N, δ18O, δ15Nα, δ15Nβand SP values of 0.12 mUr or better. The one‐sigma standard deviations of SPmeasurements of USGS51 and USGS52 reported by eight laboratories participating in the interlaboratory comparison were 1.27 and 1.78 mUr, respectively.

Conclusions

The agreement of isotope‐delta values obtained in the interlaboratory comparison was not sufficient to provide reliable accurate isotope measurement values for USGS51 and USGS52. We propose that provisional values for the isotopic composition of USGS51 and USGS52 determined at the Tokyo Institute of Technology can be adopted for normalizing and reporting sample data until further refinements are achieved through additional calibration efforts.

","language":"English","publisher":"Wiley","doi":"10.1002/rcm.8157","usgsCitation":"Ostrom, N.E., Gandhi, H., Coplen, T.B., Toyoda, S., Bohlke, J., Brand, W.A., Casciotti, K.L., Dyckmans, J., Giesemann, A., Mohn, J., Well, R., Yu, L., and Yoshida, N., 2018, Preliminary assessment of stable nitrogen and oxygen isotopic composition of USGS51 and USGS52 nitrous oxide reference gases and perspectives on calibration needs: Rapid Communications in Mass Spectrometry, v. 32, no. 15, p. 1207-1214, https://doi.org/10.1002/rcm.8157.","productDescription":"8 p.","startPage":"1207","endPage":"1214","ipdsId":"IP-096934","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468157,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1506057","text":"External Repository"},{"id":361213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostrom, Nathaniel E. 0000-0002-9147-6332","orcid":"https://orcid.org/0000-0002-9147-6332","contributorId":213202,"corporation":false,"usgs":false,"family":"Ostrom","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":757105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gandhi, Hasand","contributorId":31300,"corporation":false,"usgs":false,"family":"Gandhi","given":"Hasand","affiliations":[],"preferred":false,"id":757106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":757104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toyoda, Sakae 0000-0003-1624-5910","orcid":"https://orcid.org/0000-0003-1624-5910","contributorId":213203,"corporation":false,"usgs":false,"family":"Toyoda","given":"Sakae","email":"","affiliations":[{"id":38717,"text":"Tokyo Institute of Technology, Yokohama, Japan","active":true,"usgs":false}],"preferred":false,"id":757107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":757108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brand, Willi A.","contributorId":209257,"corporation":false,"usgs":false,"family":"Brand","given":"Willi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":757109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casciotti, Karen L. 0000-0002-5286-7795","orcid":"https://orcid.org/0000-0002-5286-7795","contributorId":213205,"corporation":false,"usgs":false,"family":"Casciotti","given":"Karen","email":"","middleInitial":"L.","affiliations":[{"id":38718,"text":"Stanford University, Stanford, CA","active":true,"usgs":false}],"preferred":false,"id":757110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dyckmans, Jens 0000-0003-3359-4389","orcid":"https://orcid.org/0000-0003-3359-4389","contributorId":213206,"corporation":false,"usgs":false,"family":"Dyckmans","given":"Jens","email":"","affiliations":[{"id":38719,"text":"Georg-August University Göttingen, Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":757111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giesemann, Anette","contributorId":213207,"corporation":false,"usgs":false,"family":"Giesemann","given":"Anette","email":"","affiliations":[{"id":38720,"text":"Thünen Institut of Climate-Smart Agriculture, Braunschweig, Germany","active":true,"usgs":false}],"preferred":false,"id":757112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mohn, Joachim 0000-0002-9799-1001","orcid":"https://orcid.org/0000-0002-9799-1001","contributorId":213208,"corporation":false,"usgs":false,"family":"Mohn","given":"Joachim","email":"","affiliations":[{"id":38721,"text":"Laboratory for Air Pollution & Environmental Technology, Dübendorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":757113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Well, Reinhard","contributorId":213209,"corporation":false,"usgs":false,"family":"Well","given":"Reinhard","email":"","affiliations":[{"id":38720,"text":"Thünen Institut of Climate-Smart Agriculture, Braunschweig, Germany","active":true,"usgs":false}],"preferred":false,"id":757114,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yu, Longfei 0000-0002-2127-6343","orcid":"https://orcid.org/0000-0002-2127-6343","contributorId":213210,"corporation":false,"usgs":false,"family":"Yu","given":"Longfei","email":"","affiliations":[{"id":38721,"text":"Laboratory for Air Pollution & Environmental Technology, Dübendorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":757115,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Yoshida, Naohiro 0000-0003-0454-3849","orcid":"https://orcid.org/0000-0003-0454-3849","contributorId":213211,"corporation":false,"usgs":false,"family":"Yoshida","given":"Naohiro","email":"","affiliations":[{"id":38722,"text":"Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":757116,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70201966,"text":"70201966 - 2018 - How do upwelling and El Niño impact coral reef growth? A guided, inquiry-based lesson","interactions":[],"lastModifiedDate":"2019-02-04T16:05:22","indexId":"70201966","displayToPublicDate":"2019-01-01T16:05:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"How do upwelling and El Niño impact coral reef growth? A guided, inquiry-based lesson","docAbstract":"

This lesson uses real-world data to guide students toward understanding how climate and ocean variables impact coral reef growth. To begin this activity, students hypothesize how changes in environmental conditions could affect coral reef growth. They then compare metrics for reef growth (linear growth and percent coral cover) between two reefs in Pacific Panamá that are located in oceanographically and environmentally different embayments, or gulfs. A discussion following the first two activities allows the students to explore possible reasons for the observed differences between the reefs. Students then use their data to calculate a carbonate budget to estimate the rate of reef growth in each gulf. The purpose of calculating a carbonate budget is to provide students with an opportunity to estimate how variables such as coral growth rates, percent coral cover, and bioerosion contribute to the long-term potential for accretion or deterioration of coral reefs.

","language":"English","publisher":"Oceanography Society","doi":"10.5670/oceanog.2018.424","usgsCitation":"Gravinese, P.M., Toth, L., Randall, C.J., and Aronson, R.B., 2018, How do upwelling and El Niño impact coral reef growth? A guided, inquiry-based lesson: Oceanography, v. 31, no. 4, p. 184-188, https://doi.org/10.5670/oceanog.2018.424.","productDescription":"5 p.","startPage":"184","endPage":"188","ipdsId":"IP-097952","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2018.424","text":"Publisher Index Page"},{"id":360989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gravinese, Philip M.","contributorId":176801,"corporation":false,"usgs":false,"family":"Gravinese","given":"Philip","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":756360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":756359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Randall, Carly J. 0000-0001-8112-3552","orcid":"https://orcid.org/0000-0001-8112-3552","contributorId":212696,"corporation":false,"usgs":false,"family":"Randall","given":"Carly","email":"","middleInitial":"J.","affiliations":[{"id":32935,"text":"Australian Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":756361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":756362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201703,"text":"70201703 - 2018 - Geospatial data for developing nutrient SPARROW models for the Midcontinental region of Canada and the United States","interactions":[],"lastModifiedDate":"2019-02-01T14:01:54","indexId":"70201703","displayToPublicDate":"2019-01-01T14:01:49","publicationYear":"2018","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":"OCRE-TR-2018-014","title":"Geospatial data for developing nutrient SPARROW models for the Midcontinental region of Canada and the United States","docAbstract":"

Through the International Watersheds Initiative of the International Joint Commission (IJC), the SpatiallyReferenced Regressions on Watershed attributes (SPARROW) model developed by the U.S. Geological Survey (USGS) is being applied to the Great Lakes, Rainy River – Lake of the Woods and Red-Assiniboine basins. The objective of this binational application of the SPARROW model is to better understand and quantify the sources of phosphorus (P) and nitrogen (N) that contribute to regional water-quality issues like algal blooms and eutrophication in Lake Erie and other parts of the Great Lakes, as well as Lake of the Woods. Led by the IJC, a team of researchers from the National Research Council of Canada – Ocean, Coastal and River Engineering Research Centre, USGS, and IJC are extending the SPARROW modelling work previously completed for the Red-Assiniboine basin and the U.S. portions of the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy river basins to cover all of the Great Lakes, Rainy River – Lake of the Woods and RedAssiniboine basins. The current effort is termed the Midcontinent SPARROW modelling study.

This report describes the data used to develop the Midcontinent SPARROW models, specifically the sources of original data, assembling the data, and the processing and harmonization required between the U.S. and Canada data needed to produce these models. Details provided include the:

The majority of the geospatial data collection and processing was required for Canadian datasets because many of the U.S. datasets were already assembled for previous SPARROW model applications in the U.S. The task of harmonizing data between the U.S. and Canada was important to ensure consistency of the datasets used in the models. The harmonized digital stream network, delineated catchments and input data for each catchment (i.e., source and delivery variables), created for the Midcontinent SPARROW models, are available for download at url: https://doi.org/10.4224/300.0001.

","language":"English","publisher":"National Research Council Canada","doi":"10.4224/23004810","usgsCitation":"Vouk, I., Burcher, R.S., Johnston, C.M., Jenkinson, R.W., Saad, D.A., Gaiot, J.S., Benoy, G.A., Robertson, D.M., and Laitta, M., 2018, Geospatial data for developing nutrient SPARROW models for the Midcontinental region of Canada and the United States: Technical Report OCRE-TR-2018-014, 57 p., https://doi.org/10.4224/23004810.","productDescription":"57 p.","ipdsId":"IP-096418","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":360921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vouk, Ivana 0000-0002-9134-6933","orcid":"https://orcid.org/0000-0002-9134-6933","contributorId":211795,"corporation":false,"usgs":false,"family":"Vouk","given":"Ivana","email":"","affiliations":[{"id":38321,"text":"National Research Council Canada","active":true,"usgs":false}],"preferred":false,"id":754916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burcher, Richard S.","contributorId":211796,"corporation":false,"usgs":false,"family":"Burcher","given":"Richard","email":"","middleInitial":"S.","affiliations":[{"id":38321,"text":"National Research Council Canada","active":true,"usgs":false}],"preferred":false,"id":754918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Craig M. cmjohnst@usgs.gov","contributorId":1814,"corporation":false,"usgs":true,"family":"Johnston","given":"Craig","email":"cmjohnst@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkinson, R. Wayne","contributorId":211797,"corporation":false,"usgs":false,"family":"Jenkinson","given":"R.","email":"","middleInitial":"Wayne","affiliations":[{"id":38322,"text":"International Joint Commission","active":true,"usgs":false}],"preferred":false,"id":754919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saad, David A. 0000-0001-6559-6181 dasaad@usgs.gov","orcid":"https://orcid.org/0000-0001-6559-6181","contributorId":204667,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaiot, John S.","contributorId":211798,"corporation":false,"usgs":false,"family":"Gaiot","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":754920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benoy, Glenn A. 0000-0001-6530-7220","orcid":"https://orcid.org/0000-0001-6530-7220","contributorId":172405,"corporation":false,"usgs":false,"family":"Benoy","given":"Glenn","email":"","middleInitial":"A.","affiliations":[{"id":13361,"text":"International Joint Commission, Washington DC","active":true,"usgs":false}],"preferred":false,"id":754921,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":204668,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754922,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Laitta, Michael","contributorId":212258,"corporation":false,"usgs":false,"family":"Laitta","given":"Michael","affiliations":[{"id":38322,"text":"International Joint Commission","active":true,"usgs":false}],"preferred":false,"id":755883,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70202365,"text":"70202365 - 2018 - Informing our successors: What botanical information for Santa Cruz Island will researchers and conservation managers in the century ahead need the most?","interactions":[],"lastModifiedDate":"2019-03-01T13:32:35","indexId":"70202365","displayToPublicDate":"2019-01-01T13:32:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Informing our successors: What botanical information for Santa Cruz Island will researchers and conservation managers in the century ahead need the most?","docAbstract":"

Climate changes are predicted to drive changes in plant species composition and vegetation cover around the world. Preserved specimens and other botanical information that we gather today—a period future practitioners may look back on as an early stage of modern anthropogenic climate change—will be of value to conservation managers and conservation biologists in the decades and centuries ahead. Here, we present suggestions for the systematic collection, long-term curation (in museums, herbaria, and other research institutions), and maintenance of plant specimens, along with associated data and analyses on the plants and vegetation present today and in the past. The primary aim of this systematic survey is to provide information of high value to conservation researchers and managers both in the near term (the next several years) and through the century to come. Such a systematic survey would build on a strong foundation of research and adaptive management on the island. It would fill gaps in less well-studied groups of organisms and identify environmental, ecological, and cultural factors related to current patterns of distribution. It would also archive previously collected data, photographs, and other materials which would otherwise gradually degrade and become inaccessible. As a case study, we use Santa Cruz Island, California, which is managed for conservation. We are confident that the same approach may be applied to other lands and waters around the world. We argue that there is a particular need to collect and archive herbarium specimens and seeds from today's populations, activities largely overlooked in recent decades. We encourage conservation researchers and managers to consider what information will be most important for future managers and to help launch studies, monitoring programs, and collections to prepare their successors for success.

","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.078.0427","usgsCitation":"Randall, J.M., McEachern, K., Knapp, J., Power, P., Junak, S., Gill, K., Knapp, D., and Guilliams, M., 2018, Informing our successors: What botanical information for Santa Cruz Island will researchers and conservation managers in the century ahead need the most?: Western North American Naturalist, v. 78, no. 4, p. 888-901, https://doi.org/10.3398/064.078.0427.","productDescription":"14 p.","startPage":"888","endPage":"901","ipdsId":"IP-087994","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Randall, John M.","contributorId":210310,"corporation":false,"usgs":false,"family":"Randall","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":758014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":758013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knapp, John","contributorId":213552,"corporation":false,"usgs":false,"family":"Knapp","given":"John","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":758015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Power, Paula","contributorId":213553,"corporation":false,"usgs":false,"family":"Power","given":"Paula","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":758016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Junak, Steve","contributorId":213554,"corporation":false,"usgs":false,"family":"Junak","given":"Steve","email":"","affiliations":[{"id":38789,"text":"Santa Barbara Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":758017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gill, Kristina","contributorId":213555,"corporation":false,"usgs":false,"family":"Gill","given":"Kristina","email":"","affiliations":[{"id":38789,"text":"Santa Barbara Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":758018,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knapp, Denise","contributorId":213556,"corporation":false,"usgs":false,"family":"Knapp","given":"Denise","email":"","affiliations":[{"id":38789,"text":"Santa Barbara Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":758019,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guilliams, Matt","contributorId":213557,"corporation":false,"usgs":false,"family":"Guilliams","given":"Matt","email":"","affiliations":[{"id":38789,"text":"Santa Barbara Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":758020,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202197,"text":"70202197 - 2018 - The tectonically controlled San Gabriel Channel–Lobe Transition Zone, Catalina Basin, Southern California Borderland","interactions":[],"lastModifiedDate":"2019-02-14T10:24:22","indexId":"70202197","displayToPublicDate":"2019-01-01T10:24:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"The tectonically controlled San Gabriel Channel–Lobe Transition Zone, Catalina Basin, Southern California Borderland","docAbstract":"

High-resolution geophysical data across the Catalina Basin, offshore southern California, USA, reveal a complex channel–lobe transition zone (CLTZ) and provide an opportunity to characterize an entire seafloor CLTZ in a tectonically active and confined-basin setting. The seafloor morphology, distribution of depositional and erosional features, and location of depocenters in the CLTZ are controlled by shifting confinement and seafloor gradient related to inherited basement structures, active faults, and basin margins. Below a Holocene hemipelagic drape, the Catalina Basin is dominated by CLTZ and lobe sedimentation from the San Gabriel Channel, with lesser accumulations from local sediment sources limited to basin margins. The San Gabriel Channel is structurally confined as it enters the Catalina Basin and appears unable to avulse; it continues into the basin as a channel that rapidly widens, decreases in relief, and becomes scoured at its margins. A CLTZ is imaged between the confined San Gabriel channel and its terminal lobes deposited > 50 km into the basin. Narrow, apparently disconnected channels with knickpoints occur throughout the proximal and mid-CLTZ and are concentrated near basement highs and basin-bounding Quaternary-active dextral strike-slip faults. A field of small-scale erosional crescent-shaped scours (∼ 100 m length, ∼ 200 m width, up to ∼ 10 m relief across ∼ 30 km2region) occurs above a partially buried basement high that creates perturbations in seafloor gradient. Likewise, above a buried basement structure that locally increases seafloor gradient (up to 0.4°), the distal CLTZ may contain sediment waves (∼ 2–4 m wave height and ∼ 200–300 m wavelength) that are smaller than many other CLTZ examples. This study of the San Gabriel CLTZ in Catalina Basin provides high-resolution geophysical data coverage of a complete CLTZ and illustrates a tectonically controlled end-member CLTZ from the modern seafloor.

","language":"English","publisher":"SEPM","doi":"10.2110/jsr.2018.50","usgsCitation":"Maier, K.L., Roland, E., Walton, M.A., Conrad, J.E., Brothers, D., Dartnell, P., and Kluesner, J., 2018, The tectonically controlled San Gabriel Channel–Lobe Transition Zone, Catalina Basin, Southern California Borderland: Journal of Sedimentary Research, v. 88, no. 8, p. 942-959, https://doi.org/10.2110/jsr.2018.50.","productDescription":"18 p.","startPage":"942","endPage":"959","ipdsId":"IP-094240","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Catalina Basin, Southern California Borderland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.8333,\n 33\n ],\n [\n -118,\n 33\n ],\n [\n -118,\n 33.5\n ],\n [\n -118.8333,\n 33.5\n ],\n [\n -118.8333,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Katherine L. 0000-0003-2908-3340 kcoble@usgs.gov","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":4926,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine","email":"kcoble@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roland, Emily C.","contributorId":147830,"corporation":false,"usgs":false,"family":"Roland","given":"Emily C.","affiliations":[{"id":13254,"text":"University of Washington, School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":757196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton, Maureen A. 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L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757200,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197878,"text":"70197878 - 2018 - Fault displacement hazard for strike-slip faults","interactions":[],"lastModifiedDate":"2019-06-27T16:25:46","indexId":"70197878","displayToPublicDate":"2018-12-31T16:21:11","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Fault displacement hazard for strike-slip faults","docAbstract":"In this paper we summarize data, methods, and models developed for a probabilistic assessment of fault displacement hazards across the U.S. We compare earthquake displacement data and empirical fault displacement models that have been developed for normal faults, strike-slip faults, and reverse faults. In general, the data and models are similar near the center of the fault for the three faulting types, but differ near the ends with the strike-slip data being lower than the reverse and normal faulting data. We also compare these U.S. models with data and equations developed using Japanese fault displacement data. The Japan model is also similar to the U.S. models near the center of the fault but decays less rapidly near the ends of the fault. In addition, we discuss impacts of models developed to analyze off-fault strain on secondary faults, multi-strand displacement hazard, and various mapping quality factors. For our study, we show example fault displacements for a M 7 fault with recurrence of 800 and 1600 years. We conclude that a deterministic assessment of fault displacements is often higher than the probabilistic displacements for less active faults with earthquake rupture recurrence that is longer than the hazard return period of interest. Fault displacement hazard is applied in engineering applications for buildings, bridges, pipelines, and nuclear facilities. We present three applications for fault displacement hazard at nuclear facilities and important structures.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake Engineering. National Conference. 11TH 2018. (11NCEE) (12 Vols) Integrating Science, Engineering, and Policy","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh U.S. National Conference on Earthquake Engineering","conferenceDate":"June 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Petersen, M.D., and Chen, R., 2018, Fault displacement hazard for strike-slip faults, in Earthquake Engineering. National Conference. 11TH 2018. (11NCEE) (12 Vols) Integrating Science, Engineering, and Policy, v. 3, Los Angeles, CA, June 25-29, 2018, p. 1794-1805.","productDescription":"12 p.","startPage":"1794","endPage":"1805","ipdsId":"IP-096800","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","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":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":738897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":738898,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196245,"text":"70196245 - 2018 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2017","interactions":[],"lastModifiedDate":"2019-12-30T09:24:17","indexId":"70196245","displayToPublicDate":"2018-12-31T16:20:33","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2017","docAbstract":"This report presents biomass-based summaries of fish communities in western Lake Erie derived from USGS bottom trawl surveys from 2013 to 2017 during June and September. The survey design provided temporal and spatial coverage that does not exist in the interagency trawl database, and thus complemented the August Ohio-Ontario effort to reinforce stock assessments with more robust data. Analyses herein evaluated trends in: total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity and community structure. Data from this effort can be explored interactively online (https://lebs.shinyapps.io/western-basin/), and future analyses will be supported by public data and metadata records available on ScienceBase (https://doi.org/10.5066/F7KK9B1R).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys, 2017","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Keretz, K.R., Kocovsky, P., Kraus, R.T., and Vandergoot, C., 2018, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2017, 11 p.","productDescription":"11 p.","startPage":"106","endPage":"116","ipdsId":"IP-095150","costCenters":[{"id":324,"text":"Great Lakes Science 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rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":731851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":731853,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204521,"text":"70204521 - 2018 - Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha","interactions":[],"lastModifiedDate":"2019-10-31T15:52:21","indexId":"70204521","displayToPublicDate":"2018-12-31T15:50:53","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha","title":"Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha","docAbstract":"

Bacterial kidney disease (BKD) caused by Renibacterium salmoninarum (Rs) occurs nearly worldwide where wild or cultured salmonid fishes are present. Control of BKD is confounded by its two modes of transmission, horizontal (fish-to-fish) and vertical (from female parent to progeny via the eggs). A highly successful BKD control strategy employed in Pacific Northwest hatcheries culturing spring Chinook salmon (Oncorhynchus tshawytscha) includes: (1) injecting pre-spawning adults with a macrolide antibiotic to improve survival and reduce Rs infection levels, (2) broodstock culling of highly infected females and (3) improved fish husbandry. However, the future availability of the injectable macrolide antibiotic (erythromycin) used for adults is uncertain. This drug shortage has resulted in an urgent need to identify a replacement injectable antibiotic to ensure continued successful control of BKD. The research conducted was intended to provide information for addressing this need via preliminary tests of the safety and efficacy of a new macrolide antibiotic, injectable tulathromycin, which is sold under the trade name DRAXXIN® (Zoetis Animal Health). A long-term goal is to reduce or eliminate the use of antibiotic treatment in spring Chinook salmon hatchery culture. Non-treated females were included in the study to provide empirical data in support of this goal. A subset of pre-spawning spring Chinook salmon at Leavenworth NFH was injected on July 10, 2014 with DRAXXIN at 5 mg per kg body weight (31 fish, left pelvic fin clip). Another subset of females (30 fish, right pelvic fin clip) was left uninjected. The surviving fish (31 DRAXXIN-injected fish and 28 uninjected fish) were spawned between August 18 and September 2, 2014. Although there were apparent trends toward higher pre-spawn survival and lower Rs prevalence and levels for the DRAXXIN-injected females in comparison to the uninjected females, the differences were not statistically significant for any of the Rs assays used (P > 0.05). Based on USFWS enzyme-linked immnosorbent assay (ELISA) test results of kidney tissue samples from the spawning females, egg lots from DRAXXIN-injected and uninjected females were assigned to Rs vertical transmission risk groups (low, medium or high). A subset of 220 eyed eggs from each female was transferred to the Western Fisheries Research Center (USGS) on October 8, 2014, hatched and reared until the study was terminated on September 22, 2015. The study results provided no evidence that DRAXXIN injection of adult female Chinook salmon affected their fecundity, egg eye-up, or survival and growth of progeny fry. There was little evidence of Rs infection in progeny of either DRAXXIN-injected or uninjected females, so the effect of DRAXXIN injection on vertical transmission of Rs could not be assessed. To adequately evaluate the efficacy of DRAXXIN injection for reducing Rs vertical transmission to progeny, additional studies should be conducted with larger numbers of DRAXXIN-injected and uninjected Chinook salmon females with a greater range of Rs levels.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Elliott, D., 2018, Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha, 28 p.","productDescription":"28 p.","ipdsId":"IP-100904","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":368850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366054,"type":{"id":11,"text":"Document"},"url":"https://ecos.fws.gov/ServCat/DownloadFile/163944"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Diane","contributorId":217727,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767384,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70198123,"text":"70198123 - 2018 - Revisiting the Apollo photogrammetric mapping system","interactions":[],"lastModifiedDate":"2019-06-26T15:21:37","indexId":"70198123","displayToPublicDate":"2018-12-31T15:10:46","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Revisiting the Apollo photogrammetric mapping system","docAbstract":"The integrated photogrammetric mapping system flown on the last three Apollo lunar missions (15, 16, and 17) in 1971 and 1972 incorporated a Metric (mapping) Camera, a high-resolution Panoramic Camera, and a star camera and laser altimeter to provide support data. The U.S. Geological Survey’s Astrogeology Science Center, the Intelligent Robotics Group of the NASA Ames Research Center, and Arizona State University are working together in an ongoing collaboration to achieve the most complete cartographic development of Apollo mapping system data into versatile digital map products. These will enable a variety of scientific/engineering uses of the data including mission planning, geologic mapping, geophysical process modelling, slope dependent correction of spectral data, and change detection. After a brief discussion of the origins of the mapping system, we describe the Metric and Panoramic cameras, processing of the associated image and support data, work to photogrammetrically control the Metric Camera images, and future plans.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ISPRS Technical Commission I Symposium, \"Innovative Sensing - From Sensors to Methods and Applications,","conferenceDate":"10-12 October 2018","conferenceLocation":"Karlsruhe, Germany","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLII-1-133-2018","usgsCitation":"Edmundson, K., Alexandrov, O., Archinal, B., Becker, K., Becker, T.L., Mapel, J., Moratto, Z.M., Nefian, A.V., Richie, J., Robinson, M.S., Shepherd, M., Shinaman, J., and Smith, E., 2018, Revisiting the Apollo photogrammetric mapping system, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42, no. 1, Karlsruhe, Germany, 10-12 October 2018, p. 133-140, https://doi.org/10.5194/isprs-archives-XLII-1-133-2018.","productDescription":"8 p.","startPage":"133","endPage":"140","ipdsId":"IP-099481","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-1-133-2018","text":"Publisher Index Page"},{"id":365089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"42","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Edmundson, Kenneth 0000-0003-3666-0927 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Janet 0000-0003-4151-1010","orcid":"https://orcid.org/0000-0003-4151-1010","contributorId":206347,"corporation":false,"usgs":true,"family":"Richie","given":"Janet","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":740119,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robinson, Mark S.","contributorId":167665,"corporation":false,"usgs":false,"family":"Robinson","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":740120,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shepherd, Makayla 0000-0002-4101-9977","orcid":"https://orcid.org/0000-0002-4101-9977","contributorId":206191,"corporation":false,"usgs":true,"family":"Shepherd","given":"Makayla","email":"","affiliations":[{"id":131,"text":"Astrogeology Science 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clouds","interactions":[],"lastModifiedDate":"2019-06-26T14:56:53","indexId":"70198585","displayToPublicDate":"2018-12-31T14:42:02","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Streams do work: Measuring the work of low-order streams on the landscape using point clouds","docAbstract":"The mutable nature of low-order streams makes regular updating of surface water maps necessary for accurate representation. Low-order streams make up roughly half the streams in the conterminous United States by length, and small inaccuracies in stream head location can result in significant error in stream reach, order, and density. Reliable maps of stream features are vital for hydrologic modeling, ecosystem research, and boundary monitoring. High resolution digital elevation models derived from lidar data have shown promise in low order stream modeling yet forested high relief landscapes and low relief agricultural areas remain challenging. Here we present early results from research analyzing lidar point clouds to identify features and patterns that may be used in low-order stream identification and classification in challenging geographic conditions. This work has identified characteristics derived from point clouds that correlate with the presence of streams and stream heads and show promise for mapping small streams. In low topographic relief agricultural areas, cross sections collected at regular intervals along drainage channels extracted as 3D lines show a significant jump in value and variance of profile curvature standard deviation at stream heads. In high relief areas, observations show potential for stream mapping by identifying trends in riparian zone structure. Lidar return point density from riparian vegetation under 30 feet tall dips in the vicinity of intermittent stream heads. Also seen is an increase in point density above 60 feet downstream of stream heads. The trends found here likely reflect a change in vegetation structure relative to the presence of streams.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”","conferenceDate":"1-5 October 2018","conferenceLocation":"Delft, the Netherlands","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLII-4-573-2018","usgsCitation":"Shavers, E.J., and Stanislawski, L.V., 2018, Streams do work: Measuring the work of low-order streams on the landscape using point clouds, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 42, no. 4, Delft, the Netherlands, 1-5 October 2018, p. 573-578, https://doi.org/10.5194/isprs-archives-XLII-4-573-2018.","productDescription":"6 p.","startPage":"573","endPage":"578","ipdsId":"IP-099680","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":468169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-4-573-2018","text":"Publisher Index Page"},{"id":365087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, North Carolina","volume":"42","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":742040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":742041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200372,"text":"70200372 - 2018 - Population trends of birds wintering in the Central Valley of California","interactions":[],"lastModifiedDate":"2019-06-26T14:25:20","indexId":"70200372","displayToPublicDate":"2018-12-31T14:24:41","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Population trends of birds wintering in the Central Valley of California","docAbstract":"

Since the 1970s, the Central Valley of California has seen a large investment in preservation and restoration of wetlands and riparian areas. At the same time, grasslands have been lost to vineyards, orchards, and residential development at an accelerating rate. We analyzed data from 17 Christmas Bird Count circles that were surveyed regularly between winter 1978–79 and winter 2013–14 to document population trends for birds wintering in this region. We selected 112 taxa (species or species groups) that were relatively abundant and widespread in the Central Valley during winter and used a hierarchical model to estimate annual rates of population change from the count data while accounting for varying survey effort. A much larger proportion of taxa showed positive (46%) than negative (18%) trends; about a third (36%) showed no detectable change. Central Valley habitats that showed the highest proportion of taxa with increasing vs. decreasing trends were riparian (59% vs. 9%; n = 32), wetlands (49% vs. 11%; n = 47), and open water (44% vs. 0%; n = 9), likely reflecting the conservation efforts in these habitats in recent decades. In contrast, a greater proportion of the taxa associated with grasslands and other open habitats (n = 25) showed decreases (48%) than increases (28%). As expected, species that adapt well to areas of human habitation showed stable or increasing trends. Examples of such species with strong positive trends include Anna's Hummingbird (Calypte anna), Black Phoebe (Sayornis nigricans) and recent Central Valley arrivals, Eurasian Collared-Dove (Streptopelia decaocto) and Great-tailed Grackle (Quiscalus mexicanus). Scavenging, opportunistic species such as Turkey Vulture (Cathartes aura) and Common Raven (Corvus corax) also showed strong positive trends. Trends in wintering populations were largely concordant with estimated trends available from breeding areas in California and western North America. Overall, these abundance data suggest that recent efforts to preserve and restore wetland and riparian habitats may be benefiting birds. However, a similar focus on conservation of the Central Valley's remaining grasslands may be needed to maintain populations of grassland-associated birds.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Trends and Traditions: Avifaunal Change in Western North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Western Field Ornithologists","doi":"10.21199/SWB3.12","collaboration":"Western Field Ornithologists","usgsCitation":"Pandolfino, E.R., and Handel, C.M., 2018, Population trends of birds wintering in the Central Valley of California, chap. of Trends and Traditions: Avifaunal Change in Western North America, v. 3, p. 215-235, https://doi.org/10.21199/SWB3.12.","productDescription":"21 p.","startPage":"215","endPage":"235","ipdsId":"IP-096037","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":488979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21199/swb3.12","text":"Publisher Index Page"},{"id":365081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Pandolfino, Edward R","contributorId":209700,"corporation":false,"usgs":false,"family":"Pandolfino","given":"Edward","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":748594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":748593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217691,"text":"70217691 - 2018 - Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA","interactions":[],"lastModifiedDate":"2021-02-09T12:34:12.316556","indexId":"70217691","displayToPublicDate":"2018-12-31T11:52:17","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA","docAbstract":"

Disturbance related to fire or hydrologic processes can cause degradation of deep (greater than 1 m) permafrost. These changes in deep permafrost have the potential to impact landscapes and infrastructure, alter the routing and distribution of surface water or groundwater, and may contribute to the flux of carbon to terrestrial and aquatic ecosystems. However, characterization of deep permafrost over large areas and with high spatial resolution is not possible with traditional remote sensing or surface observations. We make use of multiple ground-based and airborne geophysical methods, as well as numerical simulations, to better understand the distribution of permafrost and how it has changed after disturbance. Together, these geophysical datasets help to fill a critical gap in understanding permafrost landscapes and their response to disturbance.

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Indians","active":true,"usgs":false}],"preferred":false,"id":776757,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227675,"text":"70227675 - 2018 - Evaluation of internet surveys for conducting statewide angler surveys in South Dakota","interactions":[],"lastModifiedDate":"2022-01-26T17:16:32.627283","indexId":"70227675","displayToPublicDate":"2018-12-31T11:12:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3176,"text":"Proceedings of the South Dakota Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of internet surveys for conducting statewide angler surveys in South Dakota","docAbstract":"Stakeholder information is critical for effective fisheries management. Agencies have traditionally used infrequent mail surveys to collect human dimensions data. Internet surveys provide cost savings, but are associated with caution due to data quality issues. To improve study validity, survey access can be controlled using email invitations, but because these addresses are voluntary, results may not be applicable to the entire population. Additionally, internet surveys typically have lower response rates than mail surveys, thus, a greater potential for nonresponse bias. To identify potential coverage and nonresponse biases in information typically collected by statewide angler surveys, we emailed a link to a web-based survey to all anglers who provided South Dakota Game, Fish and Parks (SDGFP) with an email address at the end of the 2011 and 2012 fishing seasons (December 31). Next, we mailed the same questionnaire to both a random sample of anglers not providing an email address and a sample of non-respondents to the internet survey. Internet survey results were similar to both mail surveys for variables SDGFP typically monitors via statewide angler surveys with the exception of slightly over representing male anglers and younger anglers; however, these slight biases can be adjusted by weighting procedures. Results from this study were used by SDGFP to design a web-based, annual statewide angler survey that would collect angler information statistically comparable to information collected by traditional statewide mail surveys.","language":"English","publisher":"South Dakota Academy of Science","usgsCitation":"Gigliotti, L.M., and Henderson, K., 2018, Evaluation of internet surveys for conducting statewide angler surveys in South Dakota: Proceedings of the South Dakota Academy of Science, v. 97, p. 35-50.","productDescription":"16 p.","startPage":"35","endPage":"50","ipdsId":"IP-065058","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":394884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394883,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sdaos.org/proceedings/"}],"country":"United States","state":"South 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Dakota\",\"nation\":\"USA \"}}]}","volume":"97","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":272191,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Kjetil","contributorId":272192,"corporation":false,"usgs":false,"family":"Henderson","given":"Kjetil","email":"","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":831694,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198416,"text":"70198416 - 2018 - A regional analysis of long-term gray and harbor seal stranding events","interactions":[],"lastModifiedDate":"2020-12-10T16:32:39.915725","indexId":"70198416","displayToPublicDate":"2018-12-31T10:24:35","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A regional analysis of long-term gray and harbor seal stranding events","docAbstract":"

Strong indicators of species’ sensitivity, adaptive capacity, and overall vulnerability to climate change are provided by changes in phenology, the timing of recurring life events (Parmesan and Yohe, 2003). We possess poor information on climate induced shifts in phenology of marine organisms, especially top predators. The Gulf of Maine (GOM) Seasonal Migrants Project is an ongoing effort to determine the phenological changes occurring in the GOM across marine mammals, sea turtles, and other marine species of conservation concern. As part of that study, stranding data of injured or dead animals was explored for its utility to serve as supplemental data to amend more traditional survey data where observations are scarce.

NOAA’s Greater Atlantic Region Marine Mammal Stranding Network Database was examined for its utility as a potential long-term time series for the evaluation of phenological patterns and shifts. Although records from stranding events represent sick or injured animals, these data have been found to be reasonably comparable to survey data and provide useful information on species’ distribution, abundance, and foraging ecology (Maldini et al., 2005; Staudinger et al., 2014; Johnston et al., 2012, 2015). In this study, we focused on stranding data of two marine mammal species, harbor seals (Phoca vitulina) and gray seals (Halichoerus grypus). It was anticipated these data would also be good indicators of the areas and habitats that seal populations use on a seasonal and annual basis in the region. Viable stranding data from Maine to North Carolina included 1,571 gray seals and 4,399 harbor seals from 2001 to 2015. This paper presents a summary of the spatial and temporal patterns of these data, and suggests their suitability as supplemental data to other GOM marine species phenological studies, such as the North Atlantic Right Whale Consortium database modeling efforts.

","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Jones, K.M., and Staudinger, M., 2018, A regional analysis of long-term gray and harbor seal stranding events, 18 p.","productDescription":"18 p.","ipdsId":"IP-098831","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381199,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.umass.edu/necsc/biblio/regional-analysis-long-term-gray-and-harbor-seal-stranding-events"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Katharine M. L.","contributorId":245633,"corporation":false,"usgs":false,"family":"Jones","given":"Katharine","email":"","middleInitial":"M. L.","affiliations":[],"preferred":false,"id":806669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staudinger, Michelle","contributorId":206654,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":741371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198417,"text":"70198417 - 2018 - A review of literature for gray and harbor seals","interactions":[],"lastModifiedDate":"2020-12-10T16:15:40.416667","indexId":"70198417","displayToPublicDate":"2018-12-31T10:13:03","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A review of literature for gray and harbor seals","docAbstract":"

Climate change is impacting marine species, causing shifts in occurrence, distribution, and phenology, which can ultimately effect ecosystem structure and functioning (Parmesan & Yohe 2003; Burrows et al. 2011). The study of the timing of recurring biological events throughout an organism’s life is known as phenology (Parmesan & Yohe 2003). The way organisms respond to climate change through altered timing offers insight into their sensitivity and adaptability (Parmesan & Yohe 2003).
To gain an understanding of pinniped vulnerability to climate change, specifically through changes in phenology, a comprehensive literature search was conducted using several online databases (e.g., Web of Science, Google Scholar and PubMed). Combinations of relevant terms were searched in order to find studies pertaining to the life history of two regionally important pinniped species: the gray seal (Halichoerus grypus) and the harbor seal (Phoca vitulina). Although special attention was given to studies conducted in the Northwestern Atlantic region, publications giving information on populations in other parts of the world provided important proxy information. Keyword searches were conducted in Web of Science and Google Scholar and represent the published literature through 2017. The remainder of the publications found were cited in the literature returned from the two searches.
This document provides an annotated bibliography organized by species (gray and harbor seals) and region, with topical sections for important attributes (e.g. foraging). The focus of this search was for the Gulf of Maine region, but other relevant information yielded by the literature search is presented in order of approximate distance from the focal area.

","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Calandrino, G., Pendleton, D., and Staudinger, M., 2018, A review of literature for gray and harbor seals, 34 p.","productDescription":"34 p.","ipdsId":"IP-099373","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381197,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://necsc.umass.edu/biblio/review-literature-gray-and-harbor-seals"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Calandrino, Gabrielle","contributorId":206656,"corporation":false,"usgs":false,"family":"Calandrino","given":"Gabrielle","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":741373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, Daniel","contributorId":206657,"corporation":false,"usgs":false,"family":"Pendleton","given":"Daniel","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":741374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":741372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203067,"text":"70203067 - 2018 - Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA","interactions":[],"lastModifiedDate":"2019-04-17T08:47:50","indexId":"70203067","displayToPublicDate":"2018-12-27T08:47:08","publicationYear":"2018","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":"Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA","docAbstract":"Remote sensing has become an increasingly viable tool for characterizing fluvial systems. In this study, we used field measurements from a 1.6 km reach of the upper Sacramento River, CA, to evaluate the potential of mapping water depths from a range of platforms, sensors, and depth retrieval methods. Field measurements of water column optical properties also were compared to similar data sets from other rivers to provide context for our results. We considered field spectra, a multispectral satellite image, hyperspectral data collected from conventional and unmanned aircraft, and a bathymetric LiDAR and applied a generalized version of Optimal Band Ratio Analysis (OBRA) and the K nearest neighbors regression (KNN) machine learning algorithm. Linear, quadratic, exponential, power, and lowess OBRA models enabled more flexible curve-fitting in calibrating spectrally based quantities to depth; an exponential formulation avoided artifacts associated with other model types. KNN increased observed vs. predicted R2 values, particularly for the satellite image; we also found that pre-processing of satellite images was unnecessary and that a basic data product could be used for depth retrieval. Bathymetric LiDAR was highly accurate and precise in shallow water, but a lack of bottom returns from areas greater than 2 m deep resulted in large gaps in coverage. The maximum detectable depth imposes an important constraint on fluvial remote sensing and a hybrid approach combined with field surveys of deep areas might be a more realistic operational strategy for bathymetric mapping. Future work will focus on scaling up from short reaches to long river segments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023586","usgsCitation":"Legleiter, C.J., and Harrison, L.R., 2018, Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA: Water Resources Research, v. 55, no. 3, p. 2142-2169, https://doi.org/10.1029/2018WR023586.","productDescription":"18 p.","startPage":"2142","endPage":"2169","ipdsId":"IP-098349","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468174,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53803","text":"External Repository"},{"id":437640,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q52NZ1","text":"USGS data release","linkHelpText":"Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California"},{"id":362993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.38254547119139,\n 40.514973694087224\n ],\n [\n -125.33911514282225,\n 40.514973694087224\n ],\n [\n -125.33911514282225,\n 45.56858905146872\n ],\n [\n -120.38254547119139,\n 45.56858905146872\n ],\n [\n -120.38254547119139,\n 40.514973694087224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":761023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":761024,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227071,"text":"70227071 - 2018 - Bat activity following repeated prescribed fire in the central Appalachians, USA","interactions":[],"lastModifiedDate":"2021-12-29T14:33:15.523499","indexId":"70227071","displayToPublicDate":"2018-12-27T08:24:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bat activity following repeated prescribed fire in the central Appalachians, USA","docAbstract":"

Background

To restore and manage fire-adapted forest communities in the central Appalachians, USA, land managers are now increasingly prioritizing use of prescribed fire. However, it is unclear how the reintroduction of fire following decades of suppression will affect bat communities, particularly where white-nose syndrome-related population declines of many cave-hibernating bat species have occurred. To address this concern, we monitored and compared bat activity in burned and unburned habitat across a temporal gradient in western Virginia.

Results

We found evidence for slightly positive fire effects on activity levels of the northern long-eared bat (Myotis septentrionalis [Trouessart, 1897]), Indiana bat (Myotis sodalis [Miller and Allen, 1928]), little brown bat (Myotis lucifugus [Le Conte, 1831]), big brown bat (Eptesicus fuscus [Palisot de Beauvois, 1796])/silver-haired bat (Lasionycteris noctivagans [Le Conte, 1831]) group, all high-frequency bats, and all bat species combined. We observed temporal effects only for the big brown bat, with a negative relationship between activity and time since fire.

Conclusion

Because response of bat activity was neutral to weakly positive relative to burned forest condition, our results suggest that bats are not a resource that would impede the use of this management tool in the central Appalachians.

","language":"English","publisher":"Springer","doi":"10.1186/s42408-018-0009-5","usgsCitation":"Austin, L., Silvis, A., Muthersbaugh, M., Powers, K., and Ford, W., 2018, Bat activity following repeated prescribed fire in the central Appalachians, USA: Fire Ecology, v. 14, 10, 11 p., https://doi.org/10.1186/s42408-018-0009-5.","productDescription":"10, 11 p.","ipdsId":"IP-096158","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-018-0009-5","text":"Publisher Index Page"},{"id":393574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Bath County","otherGeospatial":"George Washington National Forest, Warm Springs Mountain Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.83283996582031,\n 38.065932950547484\n ],\n [\n -79.76932525634766,\n 38.102414161775556\n ],\n [\n -79.7449493408203,\n 38.148327566505074\n ],\n [\n -79.7109603881836,\n 38.23170796744926\n ],\n [\n -79.7607421875,\n 38.26082811638795\n ],\n [\n -79.78889465332031,\n 38.24734801619305\n ],\n [\n -79.837646484375,\n 38.20095737801023\n ],\n [\n -79.89944458007812,\n 38.11727165830543\n ],\n [\n -79.9200439453125,\n 38.07998712800633\n ],\n [\n -79.96467590332031,\n 38.023754217706944\n ],\n [\n -79.925537109375,\n 38.00049145082287\n ],\n [\n -79.83283996582031,\n 38.065932950547484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Lauren V.","contributorId":270509,"corporation":false,"usgs":false,"family":"Austin","given":"Lauren V.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":829514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":270510,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54472,"text":"RES Inc.","active":true,"usgs":false}],"preferred":false,"id":829515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muthersbaugh, Michael S.","contributorId":270511,"corporation":false,"usgs":false,"family":"Muthersbaugh","given":"Michael S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":829516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Karen E.","contributorId":270512,"corporation":false,"usgs":false,"family":"Powers","given":"Karen E.","affiliations":[{"id":34752,"text":"Radford University","active":true,"usgs":false}],"preferred":false,"id":829517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829513,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202521,"text":"70202521 - 2018 - Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","interactions":[],"lastModifiedDate":"2019-03-07T10:00:40","indexId":"70202521","displayToPublicDate":"2018-12-22T10:00:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","docAbstract":"

A time series of three closely-spaced data sets are used to track the early expansion of the invasive Japanese benthic foraminifera Trochammina hadai in the southern portion of San Francisco Bay known as South Bay. The species initially appeared in 1983, comprising only 1.5% of the assemblage in one of four samples that were dominated by the native species Ammonia tepida and Cribroelphidium excavatum (means = 60.2% and 33.8%, respectively). By 1986, census counts and R- andQ-mode cluster analyses document the explosive growth of the invasive as T. hadai now dominates the assemblage (mean = 42.7%;max = 88.7%)with associated declines in abundance of A. tepida (by greater than one-half; mean = 26.8%) and C. excavatum (by greater than one-third; mean = 20.6%). The invasive continued to dominant the assemblage in 1987, spreading even further to the north and south in South Bay, although its average abundance dropped slightly (~2%) as did those of A. tepida (~3%) and C. excavatum (0.4%). A rare increase in abundance of Elphidiella hannai and the appearance of numerous coastalmarine species in the central portion of the bay are thought to be the result of an incursion ofmarine waters into South Bay due to the prevalent drought conditions in 1987. Clearly, the rapid decline in abundance of the formerly dominant species A. tepida and C. excavatum in South Bay from 1983 to 1986 that continued into 1987 suggests the introduction of T. hadai in the bay severely impacted the native population.

","language":"English","publisher":"Micropaleontology Press","usgsCitation":"McGann, M., 2018, Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA: Micropaleontology, v. 64, no. 5-6, p. 365-378.","productDescription":"14 p.","startPage":"365","endPage":"378","ipdsId":"IP-084633","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-344/article-2085"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.82714843749999,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 37.36579146999664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"5-6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":758915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}