{"pageNumber":"1180","pageRowStart":"29475","pageSize":"25","recordCount":165309,"records":[{"id":70155864,"text":"70155864 - 2015 - Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","interactions":[],"lastModifiedDate":"2015-08-17T09:58:34","indexId":"70155864","displayToPublicDate":"2015-06-28T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","docAbstract":"

The oceans absorb anthropogenic CO2 from the atmosphere, lowering surface ocean pH, a concern for calcifying marine organisms. The impact of ocean acidification is challenging to predict as each species appears to respond differently and because our knowledge of natural changes to ocean pH is limited in both time and space. Here we reconstruct 222 years of biennial seawater pH variability in the Sargasso Sea from a brain coral, Diploria labyrinthiformis. Using hydrographic data from the Bermuda Atlantic Time-series Study and the coral-derived pH record, we are able to differentiate pH changes due to surface temperature versus those from ocean circulation and biogeochemical changes. We find that ocean pH does not simply reflect atmospheric CO2 trends but rather that circulation/biogeochemical changes account for >90% of pH variability in the Sargasso Sea and more variability in the last century than would be predicted from anthropogenic uptake of CO2 alone.

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GL064431","collaboration":"Asian School of the Environment, Nanyang Technological Unicersity, Singapore\nEarth Observatory of Singapore, Singapore\nNational Cheung Kung University, Tainan, Taiwan\nWoods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA\nBermuda Institute of Ocean Sciences, St. George’s, Bermuda\nAcademia Sinica, Taipei, Taiwan","usgsCitation":"Goodkin, N.F., Wang, B., You, C., Hughen, K., Prouty, N.G., Bates, N., and Doney, S., 2015, Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea: Geophysical Research Letters, v. 42, no. 12, p. 4931-4939, https://doi.org/10.1002/2015GL064431.","productDescription":"9 p.","startPage":"4931","endPage":"4939","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064178","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064431","text":"Publisher Index Page"},{"id":306776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"55d305b8e4b0518e35468d13","contributors":{"authors":[{"text":"Goodkin, Nathalie F.","contributorId":146214,"corporation":false,"usgs":false,"family":"Goodkin","given":"Nathalie","email":"","middleInitial":"F.","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":566627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Bo-Shian","contributorId":146215,"corporation":false,"usgs":false,"family":"Wang","given":"Bo-Shian","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"You, Chen-Feng","contributorId":146216,"corporation":false,"usgs":false,"family":"You","given":"Chen-Feng","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughen, Konrad","contributorId":146217,"corporation":false,"usgs":false,"family":"Hughen","given":"Konrad","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":566626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bates, Nicholas","contributorId":146218,"corporation":false,"usgs":false,"family":"Bates","given":"Nicholas","email":"","affiliations":[{"id":16634,"text":"Bermuda Institute of Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":566631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doney, Scott","contributorId":146219,"corporation":false,"usgs":false,"family":"Doney","given":"Scott","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188820,"text":"70188820 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:33:22","indexId":"70188820","displayToPublicDate":"2015-06-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska","docAbstract":"

The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.

The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.

For this report, DGGS funded reanalysis of 653 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from an area covering portions of the Inmachuk, Kugruk, Kiwalik, and Koyuk river drainages, Granite Mountain, and the northern Darby Mountains, located in the Bendeleben, Candle, Kotzebue, and Solomon quadrangles of eastern Seward Peninsula, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.

","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29448","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska, 5 p. , https://doi.org/10.14509/29448.","productDescription":"5 p. ","startPage":"1","endPage":"5","numberOfPages":"7","ipdsId":"IP-064890","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29448","text":"Publisher Index Page"},{"id":342979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.136474609375,\n 66.21373941545203\n ],\n [\n -161.60888671875,\n 66.2447378667497\n ],\n [\n -161.90551757812497,\n 66.08045694353868\n ],\n [\n -162.542724609375,\n 66.07154649351564\n ],\n [\n -162.740478515625,\n 66.10716955858042\n ],\n [\n -162.9931640625,\n 66.11606752151663\n ],\n [\n -163.19091796875,\n 66.09826847519165\n ],\n [\n -163.531494140625,\n 66.11606752151663\n ],\n [\n -163.729248046875,\n 66.133854089549\n ],\n [\n -163.67431640625,\n 66.43871533193368\n ],\n [\n -163.531494140625,\n 66.66168361244144\n ],\n [\n -164.46533203125,\n 66.6486231449303\n ],\n [\n -165.662841796875,\n 66.46943736242143\n ],\n [\n -166.6845703125,\n 66.24916310923315\n ],\n [\n -167.33276367187497,\n 66.01355238228946\n ],\n [\n -168.28857421875,\n 65.73514177731373\n ],\n [\n -168.11279296874997,\n 65.52662006050737\n ],\n [\n -167.32177734375,\n 65.3530957649603\n ],\n [\n -166.9921875,\n 65.13225838478363\n ],\n [\n -166.7724609375,\n 64.95146502589559\n ],\n [\n -166.607666015625,\n 64.830253743883\n ],\n [\n -166.376953125,\n 64.51064316846676\n ],\n [\n -165.333251953125,\n 64.31611045403284\n ],\n [\n -164.630126953125,\n 64.43963263427757\n ],\n [\n -163.67431640625,\n 64.52009732015118\n ],\n [\n -163.267822265625,\n 64.33990785750463\n ],\n [\n -162.68554687499997,\n 64.30182213914463\n ],\n [\n -162.18017578125,\n 64.50591486519582\n ],\n [\n -161.65283203125,\n 64.69910544204765\n ],\n [\n -161.356201171875,\n 64.77412531292873\n ],\n [\n -160.99365234375,\n 64.78348816818996\n ],\n [\n -161.136474609375,\n 66.21373941545203\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaae4b062508e3c7a89","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148568,"text":"sir20155085 - 2015 - Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","interactions":[],"lastModifiedDate":"2015-06-26T16:01:27","indexId":"sir20155085","displayToPublicDate":"2015-06-26T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5085","title":"Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, has maintained a water-level monitoring program at the Idaho National Laboratory (INL) since 1949 to systematically measure water levels to provide long-term information on groundwater recharge, discharge, movement, and storage in the eastern Snake River Plain (ESRP) aquifer. During 2014, water levels in the ESRP aquifer reached all-time lows for the period of record, prompting this study to assess the effect that future water-level declines may have on pumps and wells. Water-level data were compared with pump-setting depth to determine the hydraulic head above the current pump setting. Additionally, geophysical logs were examined to address changes in well productivity with water-level declines. Furthermore, hydrologic factors that affect water levels in different areas of the INL were evaluated to help understand why water-level changes occur.

\n

Review of pump intake placement and 2014 water-level data indicates that 40 wells completed within the ESRP aquifer at the INL have 20 feet (ft) or less of head above the pump. Nine of the these wells are located in the northeastern and northwestern areas of the INL where recharge is predominantly affected by irrigation, wet and dry cycles of precipitation, and flow in the Big Lost River. Water levels in northeastern and northwestern wells generally show water-level fluctuations of as much as 4.5 ft seasonally and show declines as much as 25 ft during the past 14 years.

\n

In the southeastern area of the INL, seven wells were identified as having less than 20 ft of water remaining above the pump. Most of the wells in the southeast show less decline over the period of record compared with wells in the northeast; the smaller declines are probably attributable to less groundwater withdrawal from pumping of wells for irrigation. In addition, most of the southeastern wells show only about a 1–2 ft fluctuation seasonally because they are less influenced by groundwater withdrawals for irrigation.

\n

In the southwestern area of the INL, 24 wells were identified as having less than 20 ft of water remaining above the pump. Wells in the southwest also only show small 1–2 ft fluctuations seasonally because of a lack of irrigation influence. Wells show larger fluctuation in water levels closer to the Big Lost River and fluctuate in response to wet and dry cycles of recharge to the Big Lost River.

\n

Geophysical logs indicate that most of the wells evaluated will maintain their current production until the water level declines to the depth of the pump. A few of the wells may become less productive once the water level gets to within about 5 ft from the top of the pump. Wells most susceptible to future drought cycles are those in the northeastern and northwestern areas of the INL.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155085","collaboration":"U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., and Twining, B.V., 2015, Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014: U.S. Geological Survey Scientific Investigations Report 2015-5085, Report: v, 37 p.; 1 Appendix, https://doi.org/10.3133/sir20155085.","productDescription":"Report: v, 37 p.; 1 Appendix","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060008","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":303220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155085.jpg"},{"id":303174,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5085/"},{"id":303175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":303176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085_appendixa.pdf","text":"Appendix A","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix A"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.32373046875,\n 43.08092540794885\n ],\n [\n -114.32373046875,\n 43.97700467496408\n ],\n [\n -111.97265625,\n 43.97700467496408\n ],\n [\n -111.97265625,\n 43.08092540794885\n ],\n [\n -114.32373046875,\n 43.08092540794885\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e69abe4b0b6d21dd658fe","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173907,"text":"70173907 - 2015 - An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period","interactions":[],"lastModifiedDate":"2016-06-15T11:16:51","indexId":"70173907","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period","docAbstract":"

Bird conservation Joint Ventures are collaborative partnerships between public agencies and private organizations that facilitate habitat management to support waterfowl and other bird populations. A subset of Joint Ventures has developed energetic carrying capacity models (ECCs) to translate regional waterfowl population goals into habitat objectives during the non-breeding period. Energetic carrying capacity models consider food biomass, metabolism, and available habitat to estimate waterfowl carrying capacity within an area. To evaluate Joint Venture ECCs in the context of waterfowl space use, we monitored 33 female mallards (Anas platyrhynchos) and 55 female American black ducks (A. rubripes) using global positioning system satellite telemetry in the central and eastern United States. To quantify space use, we measured first-passage time (FPT: time required for an individual to transit across a circle of a given radius) at biologically relevant spatial scales for mallards (3.46 km) and American black ducks (2.30 km) during the non-breeding period, which included autumn migration, winter, and spring migration. We developed a series of models to predict FPT using Joint Venture ECCs and compared them to a biological null model that quantified habitat composition and a statistical null model, which included intercept and random terms. Energetic carrying capacity models predicted mallard space use more efficiently during autumn and spring migrations, but the statistical null was the top model for winter. For American black ducks, ECCs did not improve predictions of space use; the biological null was top ranked for winter and the statistical null was top ranked for spring migration. Thus, ECCs provided limited insight into predicting waterfowl space use during the non-breeding season. Refined estimates of spatial and temporal variation in food abundance, habitat conditions, and anthropogenic disturbance will likely improve ECCs and benefit conservation planners in linking non-breeding waterfowl habitat objectives with distribution and population parameters. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

","language":"English","publisher":"Washington Wildlife Society","doi":"10.1002/jwmg.920","usgsCitation":"Beatty, W.S., Webb, E.B., Kesler, D.C., Naylor, L.W., Raedeke, A.H., Humburg, D.D., Coluccy, J.M., and Soulliere, G., 2015, An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period: Journal of Wildlife Management, v. 79, no. 7, p. 1141-1151, https://doi.org/10.1002/jwmg.920.","productDescription":"11 p.","startPage":"1141","endPage":"1151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058474","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Arkansas, Delaware, Louisiana, Michigan, New Jersey, New York, Ohio, Oklahoma, Saskatchewan, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.251953125,\n 31.914867503276223\n ],\n [\n -94.39453125,\n 36.20882309283712\n ],\n [\n -107.0068359375,\n 49.95121990866206\n ],\n [\n -84.55078125,\n 44.653024159812\n ],\n [\n -80.9912109375,\n 41.73852846935917\n ],\n [\n -74.091796875,\n 44.84029065139799\n ],\n [\n -75.5419921875,\n 38.92522904714054\n ],\n [\n -77.95898437499999,\n 37.055177106660814\n ],\n [\n -93.251953125,\n 31.914867503276223\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2de4b07657d19a69c0","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":638982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":638985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coluccy, John M.","contributorId":111382,"corporation":false,"usgs":true,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soulliere, G.","contributorId":31107,"corporation":false,"usgs":true,"family":"Soulliere","given":"G.","email":"","affiliations":[],"preferred":false,"id":638987,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70173576,"text":"70173576 - 2015 - The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir","interactions":[],"lastModifiedDate":"2016-06-07T16:42:49","indexId":"70173576","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir","docAbstract":"

Reservoirs can be dynamic systems, often prone to unpredictable and extreme water-level fluctuations, and can be environments where survival is difficult for zooplankton and larval fish. Although numerous studies have examined the effects of extreme reservoir drawdown on water quality, few have examined extreme drawdown on both abiotic and biotic characteristics. A fissure in the dam at Red Willow Reservoir in southwest Nebraska necessitated an extreme drawdown; the water level was lowered more than 6 m during a two-month period, reducing reservoir volume by 76%. During the subsequent low-water period (i.e., post-drawdown), spring sampling (April–June) showed dissolved oxygen concentration was lower, while turbidity and chlorophyll-a concentration were greater, relative to pre-drawdown conditions. Additionally, there was an overall increase in zooplankton density, although there were differences among taxa, and changes in mean size among taxa, relative to pre-drawdown conditions. Zooplankton assemblage composition had an average dissimilarity of 19.3% from pre-drawdown to post-drawdown. The ratio of zero to non-zero catches was greater post-drawdown for larval common carp and for all larval fishes combined, whereas we observed no difference for larval gizzard shad. Larval fish assemblage composition had an average dissimilarity of 39.7% from pre-drawdown to post-drawdown. Given the likelihood that other dams will need repair or replacement in the near future, it is imperative for effective reservoir management that we anticipate the likely abiotic and biotic responses of reservoir ecosystems as these management actions will continue to alter environmental conditions in reservoirs.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1055312","usgsCitation":"DeBoer, J.A., Webber, C.M., Dixon, T.A., and Pope, K.L., 2015, The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir: Journal of Freshwater Ecology, v. 31, no. 1, p. 131-146, https://doi.org/10.1080/02705060.2015.1055312.","productDescription":"16 p.","startPage":"131","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054381","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1055312","text":"Publisher Index Page"},{"id":323232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"High Butler Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.67647933959961,\n 40.39022733840729\n ],\n [\n -100.67527770996094,\n 40.38499730777754\n ],\n [\n -100.6728744506836,\n 40.37819766081352\n ],\n [\n -100.6680679321289,\n 40.37061262953356\n ],\n [\n -100.66360473632812,\n 40.365381076021734\n ],\n [\n -100.66497802734375,\n 40.35766379338479\n ],\n [\n -100.6757926940918,\n 40.35282369083777\n ],\n [\n -100.68214416503906,\n 40.350076451057234\n ],\n [\n -100.70016860961914,\n 40.35295450898817\n ],\n [\n -100.70446014404297,\n 40.35897186956936\n ],\n [\n -100.71338653564453,\n 40.35818702690405\n ],\n [\n -100.72128295898438,\n 40.364857898336325\n ],\n [\n -100.72505950927733,\n 40.373489810871995\n ],\n [\n -100.73604583740234,\n 40.37688995771412\n ],\n [\n -100.73656082153319,\n 40.37989763689748\n ],\n [\n -100.73278427124023,\n 40.38172833240111\n ],\n [\n -100.72694778442383,\n 40.379113037881154\n ],\n [\n -100.72025299072266,\n 40.377282271309\n ],\n [\n -100.71647644042967,\n 40.37061262953356\n ],\n [\n -100.71029663085938,\n 40.369043206118405\n ],\n [\n -100.70446014404297,\n 40.36498869313837\n ],\n [\n -100.69347381591795,\n 40.36394232761575\n ],\n [\n -100.69175720214844,\n 40.364857898336325\n ],\n [\n -100.68248748779297,\n 40.36328834091583\n ],\n [\n -100.67785263061523,\n 40.361457144401655\n ],\n [\n -100.67819595336914,\n 40.37022027710612\n ],\n [\n -100.67956924438477,\n 40.37780535254874\n ],\n [\n -100.68077087402344,\n 40.3836897366636\n ],\n [\n -100.68128585815428,\n 40.38839687388361\n ],\n [\n -100.67853927612305,\n 40.39127329579797\n ],\n [\n -100.67647933959961,\n 40.39022733840729\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"5757f064e4b04f417c24dd25","contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":637767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webber, Christa M.","contributorId":166914,"corporation":false,"usgs":false,"family":"Webber","given":"Christa","email":"","middleInitial":"M.","affiliations":[{"id":18960,"text":"School of Natural Resources, University of Nebraska–Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":637768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Taylor A.","contributorId":166915,"corporation":false,"usgs":false,"family":"Dixon","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":18960,"text":"School of Natural Resources, University of Nebraska–Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":637769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637358,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148605,"text":"70148605 - 2015 - Reproductive biology of Ambystoma salamanders in the southeastern United States","interactions":[],"lastModifiedDate":"2015-06-26T12:56:10","indexId":"70148605","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1899,"text":"Herpetology Notes","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive biology of Ambystoma salamanders in the southeastern United States","docAbstract":"

Reproductive aspects of Ambystoma salamanders were investigated at sites in Louisiana (2010–12) and Mississippi (2013). Three species occurred at the Louisiana site, Spotted Salamander (A. maculatum), Marbled Salamander (A. opacum), and Mole Salamander (A. talpoideum), whereas only Spotted Salamanders were studied at the Mississippi site. A total of 162 and 71 egg masses of Spotted Salamanders were examined at the Louisiana and Mississippi sites, respectively. Significantly more Spotted Salamander eggs per egg mass were observed at the Mississippi site (x̄ = 78.2) than the Louisiana site (x̄ = 53.8; P < 0.001). The mean snout–vent length of female Spotted Salamanders at the Mississippi site (82.9 mm) was significantly larger than the Louisiana site (76.1 mm; P < 0.001). Opaque Spotted Salamander egg masses were not found at the Mississippi site, but accounted for 11% of examined egg masses at the Louisiana site. The mean number of eggs per egg mass at the Louisiana site did not differ between opaque (47.3) and clear (54.6) egg masses (P = 0.21). A total of 47 egg masses of the Mole Salamander were examined, with a mean number of 6.7 embryos per mass. Twenty-three individual nests of the Marbled Salamander were found either under or in decaying logs in the dry pond basins. There was no difference between the mean numbers of eggs per mass of attended nests (93.0) versus those that were discovered unattended (86.6; P = 0.67). Females tended to place their nests at intermediate heights within the pond basin.

","language":"English","publisher":"Herpetology Notes","usgsCitation":"Glorioso, B.M., Waddle, J.H., and Hefner, J.M., 2015, Reproductive biology of Ambystoma salamanders in the southeastern United States: Herpetology Notes, v. 8, p. 347-356.","productDescription":"10 p.","startPage":"347","endPage":"356","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057734","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":302567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301288,"type":{"id":15,"text":"Index Page"},"url":"https://www.biotaxa.org/hn/article/view/12746/13789"}],"country":"United States","state":"Louisiana, Mississippi","county":"Hinds Cuonty, Natchitoches Parish","otherGeospatial":"Kisatchie National Forest, Natchez Trace National Parkway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.2958984375,\n 31.325486676506983\n ],\n [\n -93.2958984375,\n 31.718822224083244\n ],\n [\n -92.7685546875,\n 31.718822224083244\n ],\n [\n -92.7685546875,\n 31.325486676506983\n ],\n [\n -93.2958984375,\n 31.325486676506983\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.54931640625,\n 32.11980111179328\n ],\n [\n -90.54931640625,\n 32.56533316084101\n ],\n [\n -90.06591796875,\n 32.56533316084101\n ],\n [\n -90.06591796875,\n 32.11980111179328\n ],\n [\n -90.54931640625,\n 32.11980111179328\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e69aee4b0b6d21dd65902","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":548855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":548856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hefner, J. M.","contributorId":39427,"corporation":false,"usgs":true,"family":"Hefner","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":548857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159797,"text":"70159797 - 2015 - Detection of snake fungal disease due to Ophidiomyces ophiodiicola in Virginia, USA","interactions":[],"lastModifiedDate":"2018-01-02T15:06:26","indexId":"70159797","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Detection of snake fungal disease due to Ophidiomyces ophiodiicola in Virginia, USA","docAbstract":"

Snake fungal disease (SFD) is an emerging disease of wildlife believed to be caused by Ophidiomyces ophiodiicola. Although geographic and host ranges have yet to be determined, this disease is characterized by crusty scales, superficial pustules, and subcutaneous nodules, with subsequent morbidity and mortality in some snake species. To confirm the presence of SFD and O. ophiodiicola in snakes of eastern Virginia, USA, we clinically examined 30 free-ranging snakes on public lands from April to October 2014. Skin biopsy samples were collected from nine snakes that had gross lesions suggestive of SFD; seven of these biopsies were suitable for histologic interpretation, and eight were suitable for culture and PCR detection of O. ophiodiicola. Seven snakes had histologic features consistent with SFD and were positive for O. ophiodiicola by PCR or fungal culture.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2015-04-093.1","usgsCitation":"Guthrie, A.L., Knowles, S., Ballmann, A., and Lorch, J.M., 2015, Detection of snake fungal disease due to Ophidiomyces ophiodiicola in Virginia, USA: Journal of Wildlife Diseases, v. 52, no. 1, p. 143-149, https://doi.org/10.7589/2015-04-093.1.","productDescription":"7 p.","startPage":"143","endPage":"149","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064847","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":311660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.13456726074219,\n 36.910372213522535\n ],\n [\n -76.13182067871094,\n 36.84226271217676\n ],\n [\n -75.97869873046874,\n 36.852702785393014\n ],\n [\n -75.99929809570312,\n 36.92629228365366\n ],\n [\n -76.0645294189453,\n 36.91641125204138\n ],\n [\n -76.11740112304688,\n 36.91147025609033\n ],\n [\n -76.12907409667969,\n 36.915313280602795\n ],\n [\n -76.13456726074219,\n 36.910372213522535\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.94024658203124,\n 36.71026542647845\n ],\n [\n -75.92445373535155,\n 36.662360301266546\n ],\n [\n -75.90248107910156,\n 36.558187766360675\n ],\n [\n -75.86265563964844,\n 36.559842397523944\n ],\n [\n -75.92445373535155,\n 36.71026542647845\n ],\n [\n -75.92857360839844,\n 36.71301768775457\n ],\n [\n -75.94024658203124,\n 36.71026542647845\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.30828857421875,\n 36.90103821354626\n ],\n [\n -76.17851257324219,\n 36.90103821354626\n ],\n [\n -76.1627197265625,\n 36.76584198280488\n ],\n [\n -76.27532958984374,\n 36.767492156196745\n ],\n [\n -76.30966186523438,\n 36.89170307169378\n ],\n [\n -76.30828857421875,\n 36.90103821354626\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565446bde4b071e7ea53d4a9","contributors":{"authors":[{"text":"Guthrie, Amanda L.","contributorId":70271,"corporation":false,"usgs":true,"family":"Guthrie","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":580487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580489,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188821,"text":"70188821 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:24:02","indexId":"70188821","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska","docAbstract":"

The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.

The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.

For this report, DGGS funded reanalysis of 302 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Kougarok River drainage as well as smaller adjacent drainages in the Bendeleben and Teller quadrangles, Seward Peninsula, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.

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2015 - Trends in Snow Cover in the Continental United States (1950-2010)","interactions":[],"lastModifiedDate":"2015-10-23T13:11:50","indexId":"70150447","displayToPublicDate":"2015-06-25T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Trends in Snow Cover in the Continental United States (1950-2010)","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston","usgsCitation":"Knowles, N., 2015, Trends in Snow Cover in the Continental United States (1950-2010): Journal of Climate, v. 28, no. 19, p. 7518-7528.","productDescription":"11 p.","startPage":"7518","endPage":"7528","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061342","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":310601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.08984375000001,\n 24.5271348225978\n ],\n [\n -127.08984375000001,\n 49.095452162534826\n ],\n [\n -66.4453125,\n 49.095452162534826\n ],\n [\n -66.4453125,\n 24.5271348225978\n ],\n [\n -127.08984375000001,\n 24.5271348225978\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a37e4b00162522207f2","contributors":{"authors":[{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":556894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70188822,"text":"70188822 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:20:08","indexId":"70188822","displayToPublicDate":"2015-06-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska","docAbstract":"

The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.

The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.

For this report, DGGS funded reanalysis of 212 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Chilkat, Klehini, Tsirku, and Takhin river drainages, as well as smaller drainages flowing into Chilkat and Chilkoot Inlets near Haines, Skagway Quadrangle, Southeast Alaska. Additionally some samples were also chosen from the Juneau gold belt, Juneau Quadrangle, Southeast Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.

","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29449","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska, Report: 5 p. , https://doi.org/10.14509/29449.","productDescription":"Report: 5 p. ","startPage":"1","endPage":"5","numberOfPages":"7","ipdsId":"IP-064893","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29449","text":"Publisher Index Page"},{"id":342977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Juneau, Skagway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.834716796875,\n 58.274843152138224\n ],\n [\n -136.61499023437497,\n 57.87981645527839\n ],\n [\n -136.197509765625,\n 57.326521225217064\n ],\n [\n -135.9228515625,\n 56.9149999944584\n ],\n [\n -135.692138671875,\n 56.90900226702048\n ],\n [\n -135.384521484375,\n 56.926992558907564\n ],\n [\n -134.80224609375,\n 57.00485033534416\n ],\n [\n -134.373779296875,\n 57.088515327886505\n ],\n [\n -133.978271484375,\n 57.15411997029898\n ],\n [\n -133.450927734375,\n 57.231502991478926\n ],\n [\n -132.82470703125,\n 57.38578314962142\n ],\n [\n -132.74780273437497,\n 57.52172277909666\n ],\n [\n -133.011474609375,\n 57.66303463288711\n ],\n [\n -133.23120117187497,\n 57.850597609050936\n ],\n [\n -133.648681640625,\n 58.228596132481435\n ],\n [\n -133.857421875,\n 58.53386043181558\n ],\n [\n -134.329833984375,\n 58.808052288384594\n ],\n [\n -134.736328125,\n 59.0009698708429\n ],\n [\n -135.032958984375,\n 59.10266722885381\n ],\n [\n -135.516357421875,\n 59.383583679536315\n ],\n [\n -136.087646484375,\n 59.271494782025684\n ],\n [\n -136.61499023437497,\n 59.06315402462662\n ],\n [\n -137.164306640625,\n 58.91599192355906\n ],\n [\n -137.70263671875,\n 58.619777025081675\n ],\n [\n -136.834716796875,\n 58.274843152138224\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eabe4b062508e3c7a8d","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150300,"text":"fs20153046 - 2015 - EROS resources for the classroom","interactions":[],"lastModifiedDate":"2017-01-18T10:02:03","indexId":"fs20153046","displayToPublicDate":"2015-06-24T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3046","title":"EROS resources for the classroom","docAbstract":"

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has several educational resources that demonstrate how satellite imagery is used to understand our changing world.

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The U.S. Geological Survey, in cooperation with the U.S. Department of State, quantitatively assessed the potential for unconventional oil and gas resources within the onshore portions of the Tampico-Misantla Basin, Burgos Basin, and Sabinas Basin provinces of northeastern Mexico. Unconventional resources of the Veracruz Basin were not quantitatively assessed because of a current lack of required geological information. Unconventional resources include shale gas, shale oil, tight gas, tight oil, and coalbed gas. Undiscovered conventional oil and gas resources were assessed in Mexico in 2012.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151112","usgsCitation":"U.S. Geological Survey Mexico Assessment Team, 2015, Geology and assessment of unconventional oil and gas resources of northeastern Mexico: U.S. Geological Survey Open-File Report 2015-1112, 1 sheet, https://doi.org/10.3133/ofr20151112.","productDescription":"1 sheet","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059410","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":302313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151112.jpg"},{"id":302312,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1112/pdf/ofr2015-1112.pdf","text":"Report","size":"12.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302311,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1112/"}],"country":"Mexico","otherGeospatial":"Burgos Basin, Sabinas Basin, Tampico-Misantla Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.14111328125,\n 25.918526162075153\n ],\n [\n -97.31689453125,\n 25.3241665257384\n ],\n [\n -97.62451171875,\n 25.264568475331583\n ],\n [\n -97.7783203125,\n 24.10664717920179\n ],\n [\n -97.84423828125,\n 22.553147478403194\n ],\n [\n -97.42675781249999,\n 20.981956742832327\n ],\n [\n -96.5478515625,\n 19.993998469485504\n ],\n [\n -97.03125,\n 19.993998469485504\n ],\n [\n -98.1298828125,\n 20.220965779522313\n ],\n [\n -100.08544921874999,\n 22.044913300245675\n ],\n [\n -100.61279296875,\n 23.079731762449878\n ],\n [\n -99.68994140625,\n 23.200960808078566\n ],\n [\n -98.6572265625,\n 23.32208001137843\n ],\n [\n -98.4375,\n 24.206889622398023\n ],\n [\n -99.2724609375,\n 25.005972656239187\n ],\n [\n -100.70068359374999,\n 25.50278454875533\n ],\n [\n -102.83203125,\n 26.47057302237511\n ],\n [\n -103.6669921875,\n 26.80446076654616\n ],\n [\n -103.82080078125,\n 27.89734922968426\n ],\n [\n -103.35937499999999,\n 29.017748018496047\n ],\n [\n -101.14013671875,\n 28.246327971048842\n ],\n [\n -100.81054687499999,\n 28.57487404744697\n ],\n [\n -101.05224609374999,\n 28.92163128242129\n ],\n [\n -100.8984375,\n 29.305561325527698\n ],\n [\n -99.49218749999999,\n 27.46928747369202\n ],\n [\n -99.11865234374999,\n 26.41155054662258\n ],\n [\n -98.0859375,\n 26.07652055985697\n ],\n [\n -97.27294921875,\n 25.878994400196202\n ],\n [\n -97.14111328125,\n 25.918526162075153\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b1e4b0b6d21dd65292","contributors":{"authors":[{"text":"U.S. Geological Survey Mexico Assessment Team","contributorId":143703,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Mexico Assessment Team","id":548763,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70150299,"text":"ofr20151076 - 2015 - Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs","interactions":[],"lastModifiedDate":"2015-06-24T12:45:52","indexId":"ofr20151076","displayToPublicDate":"2015-06-24T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1076","title":"Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs","docAbstract":"

Oil-particle interactions and oil submergence are of much interest to oil spill responders and scientists, especially as transportation of light and heavy crude oils increases in North America’s coastal marine and freshwater environments. This report contains an up-to-date review of the state of the science for oil-particle aggregates (OPAs), in terms of their formation and stability which may alter the transport, fate, and toxicity of the residual oil and, hence, its level of ecological risk. Operational considerations—detection, containment, and recovery—are discussed.

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Although much is known about oil-particle interactions in coastal marine environments, there remains a need for additional science on methods to detect and quantify the presence of OPAs and to understand their effects on containment and recovery of oil spilled under various temperature regimes and in different aquatic habitats including freshwater environments.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151076","usgsCitation":"Fitzpatrick, F., Boufadel, M.C., Johnson, R., Lee, K.W., Graan, T.P., Bejarano, A.C., Zhu, Z., Waterman, D., Capone, D.M., Hayter, E., Hamilton, S.K., Dekker, T., Garcia, M., and Hassan, J.S., 2015, Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs: U.S. Geological Survey Open-File Report 2015-1076, v, 35 p., https://doi.org/10.3133/ofr20151076.","productDescription":"v, 35 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059436","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":302289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151076.jpg"},{"id":302288,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1076/pdf/ofr2015-1076.pdf","text":"Report","size":"1.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302287,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1076/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd65298","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":127794,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":556667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boufadel, Michael C.","contributorId":143663,"corporation":false,"usgs":false,"family":"Boufadel","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":15288,"text":"Center for Natural Resources Development and Protection, Department of Civil and Environmental Engineering, the New Jersey Institute of Technology, Newark NJ","active":true,"usgs":false}],"preferred":false,"id":556668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Rex","contributorId":104374,"corporation":false,"usgs":true,"family":"Johnson","given":"Rex","affiliations":[],"preferred":false,"id":556670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Kenneth W.","contributorId":16099,"corporation":false,"usgs":true,"family":"Lee","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":556669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graan, Thomas P.","contributorId":97021,"corporation":false,"usgs":true,"family":"Graan","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":556679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bejarano, Adriana C.","contributorId":143667,"corporation":false,"usgs":false,"family":"Bejarano","given":"Adriana","email":"","middleInitial":"C.","affiliations":[{"id":15292,"text":"Research Planning, Inc.","active":true,"usgs":false}],"preferred":false,"id":556677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":556672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waterman, David","contributorId":143664,"corporation":false,"usgs":false,"family":"Waterman","given":"David","email":"","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":556671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Capone, Daniel M.","contributorId":64167,"corporation":false,"usgs":true,"family":"Capone","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556678,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hayter, Earl","contributorId":143665,"corporation":false,"usgs":false,"family":"Hayter","given":"Earl","affiliations":[{"id":15290,"text":"USACE, Coastal and Hydraulic Laboratory","active":true,"usgs":false}],"preferred":false,"id":556673,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hamilton, Stephen K.","contributorId":143690,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":556799,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dekker, Timothy","contributorId":143666,"corporation":false,"usgs":false,"family":"Dekker","given":"Timothy","email":"","affiliations":[{"id":15291,"text":"Limno Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":556676,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":556675,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hassan, Jacob S.","contributorId":143668,"corporation":false,"usgs":false,"family":"Hassan","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":15293,"text":"USEPA Region V","active":true,"usgs":false}],"preferred":false,"id":556680,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70150405,"text":"70150405 - 2015 - Context-dependent survival, fecundity and predicted population-level consequences of brucellosis in African buffalo","interactions":[],"lastModifiedDate":"2018-08-09T12:51:26","indexId":"70150405","displayToPublicDate":"2015-06-24T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Context-dependent survival, fecundity and predicted population-level consequences of brucellosis in African buffalo","docAbstract":"
    \n
  1. Chronic infections may have negative impacts on wildlife populations, yet their effects are difficult to detect in the absence of long-term population monitoring. Brucella abortus, the bacteria responsible for bovine brucellosis, causes chronic infections and abortions in wild and domestic ungulates, but its impact on population dynamics is not well understood.
    2. \n
  2. We report infection patterns and fitness correlates of bovine brucellosis in African buffalo based on (1) 7 years of cross-sectional disease surveys and (2) a 4-year longitudinal study in Kruger National Park (KNP), South Africa. We then used a matrix population model to translate these observed patterns into predicted population-level effects.
    3. \n
  3. Annual brucellosis seroprevalence ranged from 8·7% (95% CI = 1·8–15·6) to 47·6% (95% CI = 35·1–60·1) increased with age until adulthood (>6) and varied by location within KNP. Animals were on average in worse condition after testing positive for brucellosis (F = −5·074, P < 0·0001), and infection was associated with a 2·0 (95% CI = 1·1–3·7) fold increase in mortality (χ2 = 2·039, P = 0·036). Buffalo in low body condition were associated with lower reproductive success (F = 2·683, P = 0·034), but there was no association between brucellosis and pregnancy or being observed with a calf.
    4. \n
  4. For the range of body condition scores observed in the population, the model-predicted growth rate was λ = 1·11 (95% CI = 1·02–1·21) in herds without brucellosis and λ = 1·00 (95% CI = 0·85–1·16) when brucellosis seroprevalence was 30%.
    5. \n
  5. Our results suggest that brucellosis infection can potentially result in reduced population growth rates, but because these effects varied with demographic and environmental conditions, they may remain unseen without intensive, longitudinal monitoring.
    6. \n
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.12356","usgsCitation":"Gorsich, E.E., Ezenwa, V.O., Cross, P.C., Bengis, R.G., and Jolles, A.E., 2015, Context-dependent survival, fecundity and predicted population-level consequences of brucellosis in African buffalo: Journal of Animal Ecology, v. 84, p. 999-1009, https://doi.org/10.1111/1365-2656.12356.","productDescription":"11 p.","startPage":"999","endPage":"1009","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058077","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":302280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","otherGeospatial":"Kruger National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 31.058349609374996,\n -22.33991442556202\n ],\n [\n 31.289062500000004,\n -22.39071391683855\n ],\n [\n 31.552734374999996,\n -23.180763583129433\n ],\n [\n 31.530761718750004,\n -23.50355189742412\n ],\n [\n 31.70654296875,\n -23.644524198573677\n ],\n [\n 31.6845703125,\n -23.725011735951785\n ],\n [\n 31.783447265624996,\n -23.926013033021192\n ],\n [\n 31.8603515625,\n -23.94609601499837\n ],\n [\n 31.915283203124996,\n -24.046463999666567\n ],\n [\n 31.904296874999996,\n -24.196868919249642\n ],\n [\n 32.025146484375,\n -24.307053283225915\n ],\n [\n 32.003173828125,\n -25.29437116258816\n ],\n [\n 31.475830078124996,\n -25.413508608042275\n ],\n [\n 31.289062500000004,\n -25.423431426334233\n ],\n [\n 31.201171875,\n -25.244695951306028\n ],\n [\n 31.354980468749996,\n -24.796708348945735\n ],\n [\n 31.234130859374996,\n -24.756808311192696\n ],\n [\n 31.234130859374996,\n -24.6170573408095\n ],\n [\n 31.354980468749996,\n -24.557116164309612\n ],\n [\n 31.212158203125,\n -24.256981315882488\n ],\n [\n 31.39892578125,\n -24.046463999666567\n ],\n [\n 31.289062500000004,\n -24.026396666017327\n ],\n [\n 31.113281249999996,\n -23.483400654325628\n ],\n [\n 31.168212890625004,\n -23.37251382235947\n ],\n [\n 30.849609375,\n -22.81669412689983\n ],\n [\n 31.003417968749996,\n -22.593726063929296\n ],\n [\n 30.882568359374996,\n -22.52270570348246\n ],\n [\n 31.058349609374996,\n -22.33991442556202\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-18","publicationStatus":"PW","scienceBaseUri":"558bc6b0e4b0b6d21dd6528c","contributors":{"authors":[{"text":"Gorsich, Erin E.","contributorId":143680,"corporation":false,"usgs":false,"family":"Gorsich","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":15301,"text":"Department of Integrative Biology, Oregon State University, Corvallis, USA","active":true,"usgs":false}],"preferred":false,"id":556774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ezenwa, Vanessa O.","contributorId":143681,"corporation":false,"usgs":false,"family":"Ezenwa","given":"Vanessa","email":"","middleInitial":"O.","affiliations":[{"id":15302,"text":"Odum School of Ecology and Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, USA","active":true,"usgs":false}],"preferred":false,"id":556775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":556773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bengis, Roy G.","contributorId":29636,"corporation":false,"usgs":true,"family":"Bengis","given":"Roy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":556776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jolles, Anna E.","contributorId":40421,"corporation":false,"usgs":true,"family":"Jolles","given":"Anna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":556777,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70150362,"text":"70150362 - 2015 - Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru","interactions":[],"lastModifiedDate":"2015-06-24T10:14:50","indexId":"70150362","displayToPublicDate":"2015-06-24T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru","docAbstract":"

Two forestry-change detection methods are described, compared, and contrasted for estimating deforestation and growth in threatened forests in southern Peru from 2000 to 2010. The methods used in this study rely on freely available data, including atmospherically corrected Landsat 5 Thematic Mapper and Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous fields (VCF). The two methods include a conventional supervised signature extraction method and a unique self-calibrating method called MODIS VCF guided forest/nonforest (FNF) masking. The process chain for each of these methods includes a threshold classification of MODIS VCF, training data or signature extraction, signature evaluation, k-nearest neighbor classification, analyst-guided reclassification, and postclassification image differencing to generate forest change maps. Comparisons of all methods were based on an accuracy assessment using 500 validation pixels. Results of this accuracy assessment indicate that FNF masking had a 5% higher overall accuracy and was superior to conventional supervised classification when estimating forest change. Both methods succeeded in classifying persistently forested and nonforested areas, and both had limitations when classifying forest change.

","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.9.096040","usgsCitation":"Shermeyer, J.S., and Haack, B.N., 2015, Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru: Journal of Applied Remote Sensing, v. 9, no. 1, e096040: 15 p., https://doi.org/10.1117/1.JRS.9.096040.","productDescription":"e096040: 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059192","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":302274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","state":"Madre de Dios","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.8623046875,\n -13.004557745339769\n ],\n [\n -69.60937499999999,\n -13.346865014577924\n ],\n [\n -70.4443359375,\n -13.090179355733726\n ],\n [\n -70.83984375,\n -13.068776734357694\n ],\n [\n -71.12548828125,\n -13.2399454992863\n ],\n [\n -71.2353515625,\n -12.940322128384627\n ],\n [\n -71.630859375,\n -12.661777510388525\n ],\n [\n -71.78466796874999,\n -12.790374787613588\n ],\n [\n -72.1142578125,\n -12.44730485070126\n ],\n [\n -71.96044921875,\n -12.275598890561733\n ],\n [\n -72.158203125,\n -12.08229583736359\n ],\n [\n -72.421875,\n -11.73830237143684\n ],\n [\n -72.158203125,\n -11.005904459659451\n ],\n [\n -71.3671875,\n -10.919617760254685\n ],\n [\n -71.19140625,\n -10.552621801948709\n ],\n [\n -70.6201171875,\n -10.033766870069249\n ],\n [\n -70.6201171875,\n -10.941191793456534\n ],\n [\n -70.33447265624999,\n -11.027472194117934\n ],\n [\n -69.9169921875,\n -10.919617760254685\n ],\n [\n -69.5654296875,\n -10.962764256386809\n ],\n [\n -68.64257812499999,\n -12.40438894466978\n ],\n [\n -68.8623046875,\n -13.004557745339769\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd6529a","contributors":{"authors":[{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":556736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haack, Barry N. bhaack@usgs.gov","contributorId":4261,"corporation":false,"usgs":true,"family":"Haack","given":"Barry","email":"bhaack@usgs.gov","middleInitial":"N.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":556737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150465,"text":"70150465 - 2015 - Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","interactions":[],"lastModifiedDate":"2015-06-26T09:48:07","indexId":"70150465","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","docAbstract":"

Species distribution models (SDM) link species occurrence with a suite of environmental predictors and provide an estimate of habitat quality when the variable set captures the biological requirements of the species. SDMs are inherently more complex when they include components of a species' ecology such as conspecific attraction and behavioral flexibility to exploit resources that vary across time and space. Wading birds are highly mobile, demonstrate flexible habitat selection, and respond quickly to changes in habitat quality; thus serving as important indicator species for wetland systems. We developed a spatio-temporal, multi-SDM framework using Great Egret (Ardea alba), White Ibis (Eudocimus albus), and Wood Stork (Mycteria Americana) distributions over a decadal gradient of environmental conditions to predict species-specific abundance across space and locations used on the landscape over time. In models of temporal dynamics, species demonstrated conditional preferences for resources based on resource levels linked to differing temporal scales. Wading bird abundance was highest when prey production from optimal periods of inundation was concentrated in shallow depths. Similar responses were observed in models predicting locations used over time, accounting for spatial autocorrelation. Species clustered in response to differing habitat conditions, indicating that social attraction can co-vary with foraging strategy, water-level changes, and habitat quality. This modeling framework can be applied to evaluate the multi-annual resource pulses occurring in real-time, climate change scenarios, or restorative hydrological regimes by tracking changing seasonal and annual distribution and abundance of high quality foraging patches.

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0128182","usgsCitation":"Beerens, J.M., Noonberg, E.G., and Gawlik, D.E., 2015, Linking dynamic habitat selection with wading bird foraging distributions across resource gradients: PLoS ONE, v. 10, no. 6, p. 1-25, https://doi.org/10.1371/journal.pone.0128182.","productDescription":"25 p.","startPage":"1","endPage":"25","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060476","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0128182","text":"Publisher Index Page"},{"id":302361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-24","publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65963","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":556926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noonberg, Erik G.","contributorId":143723,"corporation":false,"usgs":false,"family":"Noonberg","given":"Erik","email":"","middleInitial":"G.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":556927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":556928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150365,"text":"70150365 - 2015 - Improving estimates of tree mortality probability using potential growth rate","interactions":[],"lastModifiedDate":"2015-06-24T09:58:08","indexId":"70150365","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving estimates of tree mortality probability using potential growth rate","docAbstract":"

Tree growth rate is frequently used to estimate mortality probability. Yet, growth metrics can vary in form, and the justification for using one over another is rarely clear. We tested whether a growth index (GI) that scales the realized diameter growth rate against the potential diameter growth rate (PDGR) would give better estimates of mortality probability than other measures. We also tested whether PDGR, being a function of tree size, might better correlate with the baseline mortality probability than direct measurements of size such as diameter or basal area. Using a long-term dataset from the Sierra Nevada, California, U.S.A., as well as existing species-specific estimates of PDGR, we developed growth–mortality models for four common species. For three of the four species, models that included GI, PDGR, or a combination of GI and PDGR were substantially better than models without them. For the fourth species, the models including GI and PDGR performed roughly as well as a model that included only the diameter growth rate. Our results suggest that using PDGR can improve our ability to estimate tree survival probability. However, in the absence of PDGR estimates, the diameter growth rate was the best empirical predictor of mortality, in contrast to assumptions often made in the literature.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfr-2014-0368","usgsCitation":"Das, A., and Stephenson, N.L., 2015, Improving estimates of tree mortality probability using potential growth rate: Canadian Journal of Forest Research, v. 45, p. 920-928, https://doi.org/10.1139/cjfr-2014-0368.","productDescription":"9 p.","startPage":"920","endPage":"928","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059276","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":302273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada, Sequoia National Park, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.201416015625,\n 37.302460074782296\n ],\n [\n -120.201416015625,\n 37.99183365313853\n ],\n [\n -119.036865234375,\n 37.99183365313853\n ],\n [\n -119.036865234375,\n 37.302460074782296\n ],\n [\n -120.201416015625,\n 37.302460074782296\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.30603027343749,\n 35.22318504970181\n ],\n [\n -119.30603027343749,\n 36.87522650673951\n ],\n [\n -117.90527343750001,\n 36.87522650673951\n ],\n [\n -117.90527343750001,\n 35.22318504970181\n ],\n [\n -119.30603027343749,\n 35.22318504970181\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd65296","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148503,"text":"sir20155082 - 2015 - Assessment of statewide annual streamflow in New Mexico, 1985-2013","interactions":[],"lastModifiedDate":"2015-06-24T09:28:08","indexId":"sir20155082","displayToPublicDate":"2015-06-24T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5082","title":"Assessment of statewide annual streamflow in New Mexico, 1985-2013","docAbstract":"

In 2014, the New Mexico Water Resources Research Institute began a statewide assessment of the water resources of New Mexico. The U.S. Geological Survey, in cooperation with the New Mexico Water Resources Research Institute, addressed the streamflow component of the assessment by examining streamgage data for major river basins and streams in New Mexico for the study period over water years 1985–2013 (all references to years in this report are to water years).

\n

Overall, the total annual inflow to and outflow from New Mexico generally decreased over the study period. The highest annual flows for the Rio Grande occurred in 1985–87, and except at the Rio Grande below Elephant Butte Dam, N. Mex. (08361000), and Rio Grande at El Paso, Texas (08364000), streamgages, the lowest flows occurred in 2002–03. Reaches from the Colorado-New Mexico State line southward to Los Alamos, N. Mex. (reaches RG–1 through RG–4), were all gaining reaches. Based on mean annual streamflow during the study period, reaches from Los Alamos (reach RG–5) southward to El Paso (reach RG–9) were all losing reaches except for the Socorro, N. Mex., reach (reach RG–7). From 1985 to 1995, annual flows in the Red River generally were above the mean annual streamflow, but after 1995, annual flows were more frequently below the mean annual streamflow. The Rio Hondo, Rio Pueblo de Taos, and Jemez River followed similar annual trends as the Red River, but to a lesser extent, over the study period.

\n

Over the study period, annual flows in the Rio Chama generally increased downstream, and after 1995, the frequency of above average annual flows decreased, and below average flows became more frequent. The Rio Chama reaches were gaining in most of the years from 1985 to 2013. The Rio Puerco annual flows, at both of the streamgages on this stream, generally decreased after 2000. Reach RP–1 was a gaining reach for 24 years of the study period.

\n

In general, Pecos River annual flows decreased substantially from the mean annual streamflow after 2000. The greatest gain on the Pecos River was estimated for the reach below Lake Sumner (reach PEC–5), which had gains in all 29 years of the study, whereas the reach from Lake Avalon southward to Red Bluff Reservoir (reach PEC–9) had losses in all 29 years. The highest flows at all streamgages on the Rio Hondo occurred in 1987; high flows there have generally decreased since 1992. Reaches from Ruidoso to below Two Rivers Reservoir, reaches RH–1 and RH–2, were losing reaches for 16 years and 28 years, respectively, over the study period.

\n

The San Juan River for the study period had some of the highest flows of any river in New Mexico, and flow on the river generally increased in the downstream direction. Annual flows at the Animas River streamgages were highly variable but after 1993, generally, tended to decrease. The extended periods of high flows on the Animas River seemed to end in 2000. Over the study period, the reach from the New Mexico border southward to Farmington, N. Mex. (reach ANI–1), generally was a losing reach except for 1987 and 1997. Annual flows at the La Plata River near Farmington, N. Mex. (09367500), streamgage generally were less than the annual inflow to the State at the La Plata River at Colorado–New Mexico State line (09366500) streamgage. Over the study period, the reach from the New Mexico border southward to Farmington (reach PLA–1) generally was a losing reach except for 1986, 1987, and 1993.

\n

Prior to 1999, annual flows at Canadian River streamgages varied above and below average, but after 1999, annual flows generally were below average. The Canadian River reaches, below the confluence of the Cimarron River (reach CAN–1) and the Canadian River to Ute Reservoir (reach CAN–2), display that the upstream reach (reach CAN–1) was a gaining reach for all 29 water years but that the downstream reach (reach CAN–2) was a losing reach for all years except 2003. Annual flows for the Cimarron River varied above and below average until 1999 and then generally were below average through 2013. The Cimarron River reach, below Eagle Nest Lake to about halfway to the confluence with the Canadian River (reach CIM–1), generally was a gaining reach except for 1996, 2002, 2011, and 2013.

\n

Gila River annual flows varied above and below average until 2005 and thereafter generally were below average. Over the study period, the reach from the Gila River near Gila, N. Mex. (09430500), streamgage to the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage (reach GIL–1) was a gaining reach for all years except 1990 and 2013, while the reach from the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage to the Gila River near Clifton, Ariz. (09442000), streamgage (reach GIL–2) was a losing reach for all years with data except 1999.

\n

The San Francisco River annual flows were relatively high compared to other years in the study in 1985, 1991–93, 1995, and 2005 but were near or below average for the rest of the years of the study. Both reaches on the San Francisco River were gaining reaches for all 29 years of the study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155082","collaboration":"Prepared in cooperation with the New Mexico Water Resources Research Institute","usgsCitation":"Affinati, J.A., and Myers, N.C., 2015, Assessment of statewide annual streamflow in New Mexico, 1985-2013: U.S. Geological Survey Scientific Investigations Report 2015-5082, Report: vi, 65 p.; 9 Appendixes, https://doi.org/10.3133/sir20155082.","productDescription":"Report: vi, 65 p.; 9 Appendixes","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1984-10-01","ipdsId":"IP-064988","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":302271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155082.jpg"},{"id":302269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5082/pdf/sir2015-5082.pdf","text":"Report","size":"18.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302270,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5082/downloads/sir2015-5082_apps1-9.xlsx","text":"Appendixes","size":"217 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes","linkHelpText":"This is an electronic copy of Appendixes 1–9"},{"id":302265,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5082/"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.05029296875,\n 31.31610138349565\n ],\n [\n -109.061279296875,\n 36.98500309285596\n ],\n [\n -103.0078125,\n 36.99377838872517\n ],\n [\n -103.084716796875,\n 31.99875937194732\n ],\n [\n -106.622314453125,\n 32.01739159980399\n ],\n [\n -106.644287109375,\n 31.868227816180674\n ],\n [\n -106.490478515625,\n 31.756196257571325\n ],\n [\n -108.204345703125,\n 31.793555207271424\n ],\n [\n -108.226318359375,\n 31.325486676506983\n ],\n [\n -109.05029296875,\n 31.31610138349565\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6afe4b0b6d21dd6528a","contributors":{"authors":[{"text":"Affinati, Joseph Anthony jaffinati@usgs.gov","contributorId":5994,"corporation":false,"usgs":true,"family":"Affinati","given":"Joseph","email":"jaffinati@usgs.gov","middleInitial":"Anthony","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Nathan C. 0000-0002-7469-3693 nmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":1055,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan","email":"nmyers@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147999,"text":"pp1814A - 2015 - Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","interactions":[{"subject":{"id":70147999,"text":"pp1814A - 2015 - Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","indexId":"pp1814A","publicationYear":"2015","noYear":false,"chapter":"A","displayTitle":"Hydrogeochemical Exploration: A Reconnaissance Study on Northeastern Seward Peninsula, Alaska","title":"Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-10T15:02:55","indexId":"pp1814A","displayToPublicDate":"2015-06-24T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"A","displayTitle":"Hydrogeochemical Exploration: A Reconnaissance Study on Northeastern Seward Peninsula, Alaska","title":"Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","docAbstract":"

A reconnaissance hydrogeochemical study employing high-resolution/high-sensitivity inductively coupled plasma mass spectrometry analysis of stream and seep water samples (n= 171) was conducted in an area of limited bedrock exposure on the northeastern Seward Peninsula, Alaska. Sampling was focused in drainages around four main areas—at the Anugi Pb-Zn-Ag occurrence and in streams upstream of historically and currently mined placer gold deposits in the Candle Creek, Utica, and Monument Mountain areas. The objective of the study was to determine whether distribution of elevated metal concentrations in water samples could “see” through sediment cover and provide evidence of bedrock sources for base metals and gold. Some observations include (1) elevated Ag, As, Pb, and Zn concentrations relative to the study area as a whole in stream and seep samples from over and downstream of part of the Anugi Pb-Zn-Ag prospect; (2) abrupt downstream increases in Tl and Sb ± Au concentrations coincident with the upstream termination of productive placer deposits in the Inmachuk and Old Glory Creek drainages near Utica; (3) high K, Mo, Sb, and F throughout much of the Inmachuk River drainage near Utica; and (4) elevated As ± base metals and Au at two sites along Patterson Creek near the town of Candle and three additional contiguous sites identified when an 85th percentile cut-off was employed. Molybdenum ± gold concentrations (>90th percentile) were also measured in samples from three sites on Glacier Creek near Monument Mountain. The hydrogeochemistry in some areas is consistent with limited stream-sediment data from the region, including high Pb-Zn-Ag-As concentrations associated with Anugi, as well as historical reports of arsenopyrite-bearing veins upstream of placer operations in Patterson Creek. Chemistry of samples in the Inmachuk River-Old Glory Creek area also suggest more laterally extensive stibnite- (and gold-?) bearing veining than is currently known in the Old Glory Creek drainage. Our results indicate that hydrogeochemistry can be a useful method of geochemical exploration and offer targets for follow-up rock, soil, and subsurface sampling to ascertain the presence of mineralized bedrock.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, vol. 15 (Professional Paper 1814)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814A","usgsCitation":"Graham, G.E., Taylor, R.D., and Buckley, S., 2015, Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska: U.S. Geological Survey Professional Paper 1814, v, 16 p., https://doi.org/10.3133/pp1814A.","productDescription":"v, 16 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061294","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":302268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1814a.gif"},{"id":302267,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/a/pdf/p1814-a.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164.00390625,\n 65.47650756256367\n ],\n [\n -164.00390625,\n 67.05887024878376\n ],\n [\n -160.20263671875,\n 67.05887024878376\n ],\n [\n -160.20263671875,\n 65.47650756256367\n ],\n [\n -164.00390625,\n 65.47650756256367\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Alaska Science Center staff
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b1e4b0b6d21dd65294","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":753558,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":556701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":556702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Steve","contributorId":140677,"corporation":false,"usgs":false,"family":"Buckley","given":"Steve","email":"","affiliations":[{"id":13548,"text":"WH Pacific, Inc. Albuquerque, New Mexico","active":true,"usgs":false}],"preferred":false,"id":556703,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188480,"text":"70188480 - 2015 - Objective definition of rainfall intensity-duration thresholds for post-fire flash floods and debris flows in the area burned by the Waldo Canyon fire, Colorado, USA","interactions":[],"lastModifiedDate":"2017-06-27T13:43:50","indexId":"70188480","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Objective definition of rainfall intensity-duration thresholds for post-fire flash floods and debris flows in the area burned by the Waldo Canyon fire, Colorado, USA","docAbstract":"

We present an objectively defined rainfall intensity-duration (I-D) threshold for the initiation of flash floods and debris flows for basins recently burned in the 2012 Waldo Canyon fire near Colorado Springs, Colorado, USA. Our results are based on 453 rainfall records which include 8 instances of hazardous flooding and debris flow from 10 July 2012 to 14 August 2013. We objectively defined the thresholds by maximizing the number of correct predictions of debris flow or flood occurrence while minimizing the rate of both Type I (false positive) and Type II (false negative) errors. The equation I = 11.6D−0.7 represents the I-D threshold (I, in mm/h) for durations (D, in hours) ranging from 0.083 h (5 min) to 1 h for basins burned by the 2012 Waldo Canyon fire. As periods of high-intensity rainfall over short durations (less than 1 h) produced all of the debris flow and flood events, real-time monitoring of rainfall conditions will result in very short lead times for early-warning. Our results highlight the need for improved forecasting of the rainfall rates during short-duration, high-intensity convective rainfall events.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Engineering Geology for Society and Territory","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-09057-3_103","usgsCitation":"Staley, D.M., Gartner, J.E., and Kean, J.W., 2015, Objective definition of rainfall intensity-duration thresholds for post-fire flash floods and debris flows in the area burned by the Waldo Canyon fire, Colorado, USA, in Engineering Geology for Society and Territory, v. 2, p. 621-624, https://doi.org/10.1007/978-3-319-09057-3_103.","productDescription":"4 p.","startPage":"621","endPage":"624","ipdsId":"IP-054786","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Colorado Springs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.00354766845703,\n 38.874730394679894\n ],\n [\n -104.88475799560547,\n 38.874730394679894\n ],\n [\n -104.88475799560547,\n 38.981563413747686\n ],\n [\n -105.00354766845703,\n 38.981563413747686\n ],\n [\n -105.00354766845703,\n 38.874730394679894\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-04","publicationStatus":"PW","scienceBaseUri":"5940f9b4e4b0764e6c63eac9","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188824,"text":"70188824 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T12:47:31","indexId":"70188824","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska","docAbstract":"

The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska. For this report, DGGS funded reanalysis of 128 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Tonsina area in the Chugach Mountains, Valdez quadrangle, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies

","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29452","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska, Report: 5 p., https://doi.org/10.14509/29452.","productDescription":"Report: 5 p.","startPage":"1","endPage":"5","numberOfPages":"8","ipdsId":"IP-064897","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29452","text":"Publisher Index Page"},{"id":342966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Tonsina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.4425048828125,\n 61.60378411887294\n ],\n [\n -144.8602294921875,\n 61.60378411887294\n ],\n [\n -144.8602294921875,\n 61.88463713391431\n ],\n [\n -145.4425048828125,\n 61.88463713391431\n ],\n [\n -145.4425048828125,\n 61.60378411887294\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eabe4b062508e3c7a8f","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700506,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148601,"text":"70148601 - 2015 - Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie","interactions":[],"lastModifiedDate":"2017-07-20T14:27:21","indexId":"70148601","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie","docAbstract":"

Throughout its history, the United States has made major investments in assessing natural resources, such as soils, timber, oil and gas, and water. These investments allow policy makers, the private sector and the American public to make informed decisions about cultivating, harvesting or conserving these resources to maximize their value for public welfare, environmental conservation and the economy. As policy issues evolve, new priorities and challenges arise for natural resource assessment, and new approaches to monitoring are needed. For example, informed conservation and use of the nation’s finite fresh water resources in the context of increasingly intensive land development is a priority for today’s policy decisionmakers. There is a need to evaluate whether today’s water monitoring programs are generating the information needed to answer questions surrounding these new policy priorities.

The Northeast-Midwest Institute (NEMWI), in cooperation with the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program, initiated this project to explore the types and amounts of water data needed to address water-quality related policy questions of critical concern to today’s policy makers. The collaborating entities identified two urgent water policy questions and conducted case studies in the Northeast-Midwest region to determine the water data needed, water data available, and the best ways to fill the data gaps relative to those questions. This report details the output from one case study and focuses on the Lake Erie drainage basin, a data-rich area expected to be a best-case scenario in terms of water data availability.

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dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":548844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cangelosi, A.A.","contributorId":141209,"corporation":false,"usgs":false,"family":"Cangelosi","given":"A.A.","affiliations":[{"id":13712,"text":"Northeast-Midwest Institute","active":true,"usgs":false}],"preferred":false,"id":548847,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188823,"text":"70188823 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:12:42","indexId":"70188823","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska","docAbstract":"

The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.

The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.

For this report, DGGS funded reanalysis of 670 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the northeastern Alaska Range, in the Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.

","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29451","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska, Report: 6 p. , https://doi.org/10.14509/29451.","productDescription":"Report: 6 p. ","startPage":"1","endPage":"6","numberOfPages":"8","ipdsId":"IP-064896","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29451","text":"Publisher Index Page"},{"id":342976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Hayes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.17211914062497,\n 64.46332329319623\n ],\n [\n -150.18310546875,\n 64.29229248039543\n ],\n [\n -150.27099609375003,\n 62.70942526220763\n ],\n [\n -141.48193359375,\n 62.6791861968537\n ],\n [\n -141.690673828125,\n 64.52482316878356\n ],\n [\n -150.18310546875,\n 64.62387720204688\n ],\n [\n -150.17211914062497,\n 64.46332329319623\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eabe4b062508e3c7a91","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148065,"text":"70148065 - 2015 - Biological responses to climate impacts with a focus on Regional Species of Greatest Conservation Need (RSGCN)","interactions":[],"lastModifiedDate":"2020-07-29T14:09:08.886574","indexId":"70148065","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"chapter":"3","title":"Biological responses to climate impacts with a focus on Regional Species of Greatest Conservation Need (RSGCN)","docAbstract":"

This chapter reviews the responses to climate change on the 367 Regional Species of Greatest Conservation Need (RSGCN) identified by the Northeast Fish and Wildlife Diversity Technical Committee (NEFWDTC), technical experts from states’ natural resource agencies (Appendix 3.1). These species were chosen based on their conservation status, listing in SWAPs, and the percentage of their range that occurs in the Northeast. The objectives of this chapter are to: summarize how regional biodiversity has already responded and is expected to respond to climate change; summarize information on specific RSGCN species responses to climate change to date and anticipated under future scenarios; characterize the greatest uncertainties about how biodiversity and RSGCN species will respond to climate change in the future; and highlight where other factors are expected to exacerbate the effects of climate change. This information was obtained through a systematic review of the peer-reviewed literature, primarily using the ISI Web of Knowledge to search for papers on each species related to “climate”, “temperature”, or “precipitation”. Although we undoubtedly missed some sources, the following allows us to review some of the ways climate change will affect regional species of conservation concern

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Integrating climate change into the state wildlife action plans","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Northeast Climate Science Center","publisherLocation":"Amherst, MA","usgsCitation":"Morelli, T.L., DeLuca, W., Ellison, C., Jane, S.F., and Matthews, S., 2015, Biological responses to climate impacts with a focus on Regional Species of Greatest Conservation Need (RSGCN), 51 p.","productDescription":"51 p.","ipdsId":"IP-065186","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":342348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342347,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://necsc.umass.edu/projects/integrating-climate-change-state-wildlife-action-plans"}],"country":"United States","state":"Connecticut, Delaware, Massachusetts, 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This Addendum describes new, expanded, and planned water monitoring sites in the Lake Erie drainage basin that were initiated subsequent to the preparation of Betanzo et al. (2015), the primary report with which this Addendum is associated. In addition to the new water monitoring sites, new programs have been initiated that focus on expansion of agricultural management practices to reduce nutrient transport to Lake Erie and facilitate data sharing between researchers involved with agricultural management and water-quality monitoring. This Addendum evaluates the applicability of these new monitoring sites and programs for answering the case-study policy question explored in Betanzo et al. (2015), “How effective are agricultural management practices at reducing nutrients from nonpoint sources at the watershed scale in the Lake Erie drainage basin?” The water monitoring data needs for answering the case-study policy question identified in Table 18 of Betanzo et al. (2015) were used to identify relevant monitoring sites in this Addendum, specifically focusing on total phosphorus (TP), dissolved reactive phosphorus (DRP)1 , and streamflow data (the complete list of parameters needed appears in Table 3 of Betanzo et al. (2015)). The new information summarized in this Addendum consists of water monitoring and agricultural management activities conducted by agencies and organizations whose data were compiled in the nutrient data set described in Betanzo et al. (2015), and programs identified in public news releases. Although this information is considered to be comprehensive and complete as of February 2015, there may be other new or planned water monitoring programs, of which we are not aware, that are not included here.

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