{"pageNumber":"1380","pageRowStart":"34475","pageSize":"25","recordCount":184743,"records":[{"id":70159887,"text":"70159887 - 2014 - Mercury cycling in agricultural and managed wetlands, Yolo Bypass, California: Spatial and seasonal variations in water quality","interactions":[],"lastModifiedDate":"2018-09-14T15:52:22","indexId":"70159887","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands, Yolo Bypass, California: Spatial and seasonal variations in water quality","docAbstract":"

The seasonal and spatial variability of water quality, including mercury species, was evaluated in agricultural and managed, non-agricultural wetlands in the Yolo Bypass Wildlife Area, an area managed for multiple beneficial uses including bird habitat and rice farming. The study was conducted during an 11-month period (June 2007 to April 2008) that included a summer growing season and flooded conditions during winter. Methylmercury (MeHg) concentrations in surface water varied over a wide range (0.1 to 37 ng L−1 unfiltered; 0.04 to 7.3 ng L−1 filtered). Maximum MeHg values are among the highest ever recorded in wetlands. Highest MeHg concentrations in unfiltered surface water were observed in drainage from wild rice fields during harvest (September 2007), and in white rice fields with decomposing rice straw during regional flooding (February 2008). The ratio of MeHg to total mercury (MeHg/THg) increased about 20-fold in both unfiltered and filtered water during the growing season (June to August 2007) in the white and wild rice fields, and about 5-fold in fallow fields (July to August 2007), while there was little to no change in MeHg/THg in the permanent wetland. Sulfate-bearing fertilizer had no effect on Hg(II) methylation, as sulfate-reducing bacteria were not sulfate limited in these agricultural wetlands. Concentrations of MeHg in filtered and unfiltered water correlated with filtered Fe, filtered Mn, DOC, and two indicators of sulfate reduction: the SO4 2 −/Cl− ratio, and δ34S in aqueous sulfate. These relationships suggest that microbial reduction of SO4 2−, Fe(III), and possibly Mn(IV) may contribute to net Hg(II)-methylation in this setting.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.10.096","usgsCitation":"Alpers, C.N., Fleck, J.A., Marvin-DiPasquale, M.C., Stricker, C.A., Stephenson, M., and Taylor, H.E., 2014, Mercury cycling in agricultural and managed wetlands, Yolo Bypass, California: Spatial and seasonal variations in water quality: Science of the Total Environment, v. 484, p. 276-287, https://doi.org/10.1016/j.scitotenv.2013.10.096.","productDescription":"12 p.","startPage":"276","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043894","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.63993835449219,\n 38.476438208301104\n ],\n [\n -121.63993835449219,\n 38.581184251457955\n ],\n [\n -121.58123016357422,\n 38.581184251457955\n ],\n [\n -121.58123016357422,\n 38.476438208301104\n ],\n [\n -121.63993835449219,\n 38.476438208301104\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"484","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175d8e4b06a3ea36c56c5","contributors":{"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":150174,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":580896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":580897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":580895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":580898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":580960,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186574,"text":"70186574 - 2014 - Global ocean conveyor lowers extinction risk in the deep sea","interactions":[],"lastModifiedDate":"2017-04-05T15:54:55","indexId":"70186574","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1369,"text":"Deep Sea Research Part A, Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Global ocean conveyor lowers extinction risk in the deep sea","docAbstract":"

General paradigms of species extinction risk are urgently needed as global habitat loss and rapid climate change threaten Earth with what could be its sixth mass extinction. Using the stony coral Lophelia pertusa as a model organism with the potential for wide larval dispersal, we investigated how the global ocean conveyor drove an unprecedented post-glacial range expansion in Earth׳s largest biome, the deep sea. We compiled a unique ocean-scale dataset of published radiocarbon and uranium-series dates of fossil corals, the sedimentary protactinium–thorium record of Atlantic meridional overturning circulation (AMOC) strength, authigenic neodymium and lead isotopic ratios of circulation pathways, and coral biogeography, and integrated new Bayesian estimates of historic gene flow. Our compilation shows how the export of Southern Ocean and Mediterranean waters after the Younger Dryas 11.6 kyr ago simultaneously triggered two dispersal events in the western and eastern Atlantic respectively. Each pathway injected larvae from refugia into ocean currents powered by a re-invigorated AMOC that led to the fastest postglacial range expansion ever recorded, covering 7500 km in under 400 years. In addition to its role in modulating global climate, our study illuminates how the ocean conveyor creates broad geographic ranges that lower extinction risk in the deep sea.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2014.03.004","usgsCitation":"Henry, L., Frank, N., Hebbeln, D., Weinberg, C., Robinson, L., van de Flierdt, T., Dahl, M., Douarin, M., Morrison, C.L., Correa, M.L., Rogers, A.D., Ruckelshausen, M., and Roberts, J., 2014, Global ocean conveyor lowers extinction risk in the deep sea: Deep Sea Research Part A, Oceanographic Research Papers, v. 88, p. 8-16, https://doi.org/10.1016/j.dsr.2014.03.004.","productDescription":"9 p.","startPage":"8","endPage":"16","ipdsId":"IP-051918","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr.2014.03.004","text":"Publisher Index Page"},{"id":339266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac689","chorus":{"doi":"10.1016/j.dsr.2014.03.004","url":"http://dx.doi.org/10.1016/j.dsr.2014.03.004","publisher":"Elsevier BV","authors":"Henry Lea-Anne, Frank Norbert, Hebbeln Dierk, Wienberg Claudia, Robinson Laura, de Flierdt Tina van, Dahl Mikael, Douarin Mélanie, Morrison Cheryl L., Correa Matthias López, Rogers Alex D., Ruckelshausen Mario, Roberts J. Murray","journalName":"Deep Sea Research Part I: Oceanographic Research Papers","publicationDate":"6/2014","auditedOn":"7/24/2015","publiclyAccessibleDate":"4/16/2014"},"contributors":{"authors":[{"text":"Henry, Lea-Anne","contributorId":190570,"corporation":false,"usgs":false,"family":"Henry","given":"Lea-Anne","email":"","affiliations":[],"preferred":false,"id":689620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frank, Norbert","contributorId":190571,"corporation":false,"usgs":false,"family":"Frank","given":"Norbert","email":"","affiliations":[],"preferred":false,"id":689621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hebbeln, Dierk","contributorId":190572,"corporation":false,"usgs":false,"family":"Hebbeln","given":"Dierk","email":"","affiliations":[],"preferred":false,"id":689622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weinberg, Claudia","contributorId":190576,"corporation":false,"usgs":false,"family":"Weinberg","given":"Claudia","email":"","affiliations":[],"preferred":false,"id":689627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Laura","contributorId":152570,"corporation":false,"usgs":false,"family":"Robinson","given":"Laura","affiliations":[],"preferred":false,"id":689623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van de Flierdt, Tina","contributorId":190573,"corporation":false,"usgs":false,"family":"van de Flierdt","given":"Tina","email":"","affiliations":[],"preferred":false,"id":689624,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahl, Mikael","contributorId":190574,"corporation":false,"usgs":false,"family":"Dahl","given":"Mikael","email":"","affiliations":[],"preferred":false,"id":689625,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douarin, Melanie","contributorId":190575,"corporation":false,"usgs":false,"family":"Douarin","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":689626,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":689619,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Correa, Matthias Lopez","contributorId":190577,"corporation":false,"usgs":false,"family":"Correa","given":"Matthias","email":"","middleInitial":"Lopez","affiliations":[],"preferred":false,"id":689628,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rogers, Alex D.","contributorId":190578,"corporation":false,"usgs":false,"family":"Rogers","given":"Alex","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":689629,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruckelshausen, Mario","contributorId":190579,"corporation":false,"usgs":false,"family":"Ruckelshausen","given":"Mario","email":"","affiliations":[],"preferred":false,"id":689630,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, J. Murray","contributorId":190580,"corporation":false,"usgs":false,"family":"Roberts","given":"J. Murray","affiliations":[],"preferred":false,"id":689631,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70187417,"text":"70187417 - 2014 - Occupancy patterns of regionally declining grassland sparrow populations in a forested Pennsylvania landscape","interactions":[],"lastModifiedDate":"2017-05-02T13:26:47","indexId":"70187417","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy patterns of regionally declining grassland sparrow populations in a forested Pennsylvania landscape","docAbstract":"

Organisms can be affected by processes in the surrounding landscape outside the boundary of habitat areas and by local vegetation characteristics. There is substantial interest in understanding how these processes affect populations of grassland birds, which have experienced substantial population declines. Much of our knowledge regarding patterns of occupancy and density stem from prairie systems, whereas relatively little is known regarding how occurrence and abundance of grassland birds vary in reclaimed surface mine grasslands. Using distance sampling and single-season occupancy models, we investigated how the occupancy probability of Grasshopper (Ammodramus savannarum) and Henslow's Sparrows (A. henslowii) on 61 surface mine grasslands (1591 ha) in Pennsylvania changed from 2002 through 2011 in response to landscape, grassland, and local vegetation characteristics . A subset (n = 23; 784 ha) of those grasslands were surveyed in 2002, and we estimated changes in sparrow density and vegetation across 10 years. Grasshopper and Henslow's Sparrow populations declined 72% and 49%, respectively from 2002 to 2011, whereas overall woody vegetation density increased 2.6 fold. Henslow's Sparrows avoided grasslands with perimeter–area ratios ≥0.141 km/ha and woody shrub densities ≥0.04 shrubs/m2. Both species occupied grasslands ≤13 ha, but occupancy probability declined with increasing grassland perimeter–area ratio and woody shrub density. Grassland size, proximity to nearest neighboring grassland (\"math = 0.2 km), and surrounding landscape composition at 0.5, 1.5, and 3.0 km were not parsimonious predictors of occupancy probability for either species. Our results suggest that reclaimed surface mine grasslands, without management intervention, are ephemeral habitats for Grasshopper and Henslow's Sparrows. Given the forecasted decline in surface coal production for Pennsylvania, it is likely that both species will continue to decline in our study region for the foreseeable future.

","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12210","usgsCitation":"Hill, J.M., and Diefenbach, D.R., 2014, Occupancy patterns of regionally declining grassland sparrow populations in a forested Pennsylvania landscape: Conservation Biology, v. 28, no. 3, p. 735-744, https://doi.org/10.1111/cobi.12210.","productDescription":"10 p.","startPage":"735","endPage":"744","ipdsId":"IP-045445","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-14","publicationStatus":"PW","scienceBaseUri":"59099ab0e4b0fc4e44915806","contributors":{"authors":[{"text":"Hill, Jason M.","contributorId":191616,"corporation":false,"usgs":false,"family":"Hill","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173577,"text":"70173577 - 2014 - Angler effort and catch within a spatially complex system of small lakes.","interactions":[],"lastModifiedDate":"2016-06-09T14:45:28","indexId":"70173577","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Angler effort and catch within a spatially complex system of small lakes.","docAbstract":"

Spatial layout of waterbodies and waterbody size can affect a creel clerk’s ability to intercept anglers for interviews and to accurately count anglers, which will affect the accuracy and precision of estimates of effort and catch. This study aimed to quantify angling effort and catch across a spatially complex system of 19 small (<100 ha) lakes, the Fremont lakes. Total (±SE) angling effort (hours) on individual lakes ranged from 0 (0) to 7,137 (305). Bank anglers utilized 18 of the 19 lakes, and their mean (±SE) trip lengths (hours) ranged from 0.80 (0.31) to 7.75 (6.75), depending on the waterbody. In contrast, boat anglers utilized 14 of the 19 lakes, and their trip lengths ranged from 1.39 (0.24) to 4.25 (0.71), depending on the waterbody. The most sought fishes, as indexed by number of lakes on which effort was exerted, were anything (17 of 19 lakes), largemouth bassMicropterus salmoides (15 of 19 lakes), and channel catfish Ictalurus punctatus (13 of 19 lakes). Bluegill Lepomis machrochirus, crappie Pomoxis spp., and largemouth bass were caught most frequently across the lakes, but catch rates varied considerably by lake. Of the 1,138 parties interviewed, most parties (93%) visited a single lake but there were 77 (7%) parties that indicated that they had visited multiple lakes during a single day. The contingent of parties that visited more than one lake a day were primarily (87%) bank anglers.. The number of lake-to-lake connections made by anglers visiting more than one waterbody during a single day was related to catch rates and total angling effort. The greater resolution that was achieved with a lake specific creel survey at Fremont lakes revealed a system of lakes with a large degree of spatial variation in angler effort and catch that would be missed by a coarser, system-wide survey that did not differentiate individual lakes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2014.02.013","usgsCitation":"Pope, K.L., Chizinski, C.J., Martin, D., Barada, T.J., and Schuckman, J.J., 2014, Angler effort and catch within a spatially complex system of small lakes.: Fisheries Research, v. 154, p. 172-178, https://doi.org/10.1016/j.fishres.2014.02.013.","productDescription":"7 p.","startPage":"172","endPage":"178","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054379","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a932fe4b04f417c275124","contributors":{"authors":[{"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":637359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":638268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barada, Tony J.","contributorId":171673,"corporation":false,"usgs":false,"family":"Barada","given":"Tony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuckman, Jeffrey J.","contributorId":171674,"corporation":false,"usgs":false,"family":"Schuckman","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638270,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173900,"text":"70173900 - 2014 - Nutrient additions to mitigate for loss of Pacific salmon: consequences for stream biofilm and nutrient dynamics","interactions":[],"lastModifiedDate":"2016-06-15T12:25:23","indexId":"70173900","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient additions to mitigate for loss of Pacific salmon: consequences for stream biofilm and nutrient dynamics","docAbstract":"

Mitigation activities designed to supplement nutrient and organic matter inputs to streams experiencing decline or loss of Pacific salmon typically presuppose that an important pathway by which salmon nutrients are moved to fish (anadromous and/or resident) is via nutrient incorporation by biofilms and subsequent bottom-up stimulation of biofilm production, which is nutrient-limited in many ecosystems where salmon returns have declined. Our objective was to quantify the magnitude of nutrient incorporation and biofilm dynamics that underpin this indirect pathway in response to experimental additions of salmon carcasses and pelletized fish meal (a.k.a., salmon carcass analogs) to 500-m reaches of central Idaho streams over three years. Biofilm standing crops increased 2–8-fold and incorporated marine-derived nutrients (measured using 15N and 13C) in the month following treatment, but these responses did not persist year-to-year. Biofilms were nitrogen (N) limited before treatments, and remained N limited in analog, but not carcass-treated reaches. Despite these biofilm responses, in the month following treatment total N load was equal to 33–47% of the N added to the treated reaches, and N spiraling measurements suggested that as much as 20%, but more likely 2–3% of added N was taken up by microbes. Design of biologically and cost-effective strategies for nutrient addition will require understanding the rates at which stream microbes take up nutrients and the downstream distance traveled by exported nutrients.

","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES13-00366.1","usgsCitation":"Marcarelli, A.M., Baxter, C., and Wipfli, M.S., 2014, Nutrient additions to mitigate for loss of Pacific salmon: consequences for stream biofilm and nutrient dynamics: Ecosphere, v. 5, no. 6, p. 1-22, https://doi.org/10.1890/ES13-00366.1.","productDescription":"23 p.","startPage":"1","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040835","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472976,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00366.1","text":"Publisher Index Page"},{"id":323680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"North Fork Boise River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.02338457107544,\n 43.806628292235416\n ],\n [\n -117.02338457107544,\n 43.81856647818564\n ],\n [\n -117.00574636459349,\n 43.81856647818564\n ],\n [\n -117.00574636459349,\n 43.806628292235416\n ],\n [\n -117.02338457107544,\n 43.806628292235416\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-13","publicationStatus":"PW","scienceBaseUri":"57627c37e4b07657d19a6a0a","contributors":{"authors":[{"text":"Marcarelli, Amy M.","contributorId":81821,"corporation":false,"usgs":true,"family":"Marcarelli","given":"Amy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":639019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638948,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70141290,"text":"70141290 - 2014 - Use of water developments by female elk at Theodore Roosevelt National Park, North Dakota","interactions":[],"lastModifiedDate":"2018-01-05T10:52:51","indexId":"70141290","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"Use of water developments by female elk at Theodore Roosevelt National Park, North Dakota","docAbstract":"

Development of water sources for wildlife is a widespread management practice with a long history; however, needs of wildlife and availability of water depend on myriad interacting factors that vary among species and localities. Benefits are therefore situational, establishing a need for evaluation of water use in varied settings. We used global-positioning-system (GPS) collars and time-lapse videography to estimate the distribution of elk (Cervus elaphus) activity and frequency of water-development use at Theodore Roosevelt National Park, North Dakota, during June–September, 2003–2006. Elk were located further than expected from the Little Missouri River and did not preferentially use areas near developments. Of 26,081 relocations obtained at 7-h intervals, 88% were >800 m and 74% were >1600 m from permanent surface water. Elk were videotaped at water developments on 90 occasions during 19,402 h of monitoring but used water in only 52% of cases (SE = 5.3%). The probability of detecting elk at developments during visits was 0.51 (SE = 0.08). Nevertheless, elk tracked with GPS collars at 15-min intervals approached to within 100 m of developments on only 2.7% (SE = 0.6%) of 766 days, and approached randomly selected locations nearly as frequently (x¯ = 2.2%, SE = 0.13%). Our results do not rule out use of drinking water by elk at THRO; however, elk were not dependent on water from developments or the Little Missouri River. Prevailing perceptions of water use by elk derive primarily from general associations of elk activity with locations of water sources. Technological advances that permit nearly continuous, precise monitoring present an opportunity to improve understanding of water use by elk, incidental to other investigations.

","language":"English","publisher":"California Department of Fish and Wildlife","usgsCitation":"Sargeant, G.A., Oehler, M.W., and Sexton, C.L., 2014, Use of water developments by female elk at Theodore Roosevelt National Park, North Dakota: California Fish and Game, v. 100, no. 3, p. 538-549.","productDescription":"12 p.","startPage":"538","endPage":"549","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060479","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":297998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297987,"type":{"id":15,"text":"Index Page"},"url":"https://www.dfg.ca.gov/publications/journal/contents.html"}],"country":"United States","state":"North Dakota","otherGeospatial":"Theodore Roosevelt National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6395263671875,\n 46.841407127005866\n ],\n [\n -103.6395263671875,\n 47.824220149350246\n ],\n [\n -102.9364013671875,\n 47.824220149350246\n ],\n [\n -102.9364013671875,\n 46.841407127005866\n ],\n [\n -103.6395263671875,\n 46.841407127005866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e47440e4b08de9379b5557","contributors":{"authors":[{"text":"Sargeant, Glen A. 0000-0003-3845-8503 gsargeant@usgs.gov","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":1301,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen","email":"gsargeant@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":540627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oehler, Michael W.","contributorId":139270,"corporation":false,"usgs":false,"family":"Oehler","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":12714,"text":"NPS/DNR Minnesota","active":true,"usgs":false}],"preferred":false,"id":540628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sexton, Chad L.","contributorId":139271,"corporation":false,"usgs":false,"family":"Sexton","given":"Chad","email":"","middleInitial":"L.","affiliations":[{"id":12715,"text":"TRNP, NPS","active":true,"usgs":false}],"preferred":false,"id":540629,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192589,"text":"70192589 - 2014 - Assessing landscape constraints on species abundance: Does the neighborhood limit species response to local habitat conservation programs?","interactions":[],"lastModifiedDate":"2017-11-13T11:02:02","indexId":"70192589","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","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":"Assessing landscape constraints on species abundance: Does the neighborhood limit species response to local habitat conservation programs?","docAbstract":"

Landscapes in agricultural systems continue to undergo significant change, and the loss of biodiversity is an ever-increasing threat. Although habitat restoration is beneficial, management actions do not always result in the desired outcome. Managers must understand why management actions fail; yet, past studies have focused on assessing habitat attributes at a single spatial scale, and often fail to consider the importance of ecological mechanisms that act across spatial scales. We located survey sites across southern Nebraska, USA and conducted point counts to estimate Ring-necked Pheasant abundance, an economically important species to the region, while simultaneously quantifying landscape effects using a geographic information system. To identify suitable areas for allocating limited management resources, we assessed land cover relationships to our counts using a Bayesian binomial-Poisson hierarchical model to construct predictive Species Distribution Models of relative abundance. Our results indicated that landscape scale land cover variables severely constrained or, alternatively, facilitated the positive effects of local land management for Ring-necked Pheasants.

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,{"id":70142623,"text":"70142623 - 2014 - Associations of wintering birds with habitat in semidesert and plains grasslands in Arizona","interactions":[],"lastModifiedDate":"2018-10-20T12:37:40","indexId":"70142623","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Associations of wintering birds with habitat in semidesert and plains grasslands in Arizona","docAbstract":"

We studied associations with winter habitat for seven species of birds, one species-group (eastern and western meadowlarks combined), and total sparrows at seven sites in the semidesert and plains grasslands of southeastern Arizona from 1999–2001, sampling with mist-nets and survey-transects. We measured structure and composition of vegetation, assessing vegetative differences among sites, and modeled associations between indices of avian abundance and six vegetative variables using generalized linear models. For all vegetative variables, there were significant differences among sites. Numbers of northern harriers (Circus cyaneus) were positively associated with total number of sparrows. Indices of abundance for individual species of birds were statistically correlated with various measures of structure and composition of vegetation. In particular, grasshopper (Ammodramus savannarum) and vesper (Pooecetes gramineus) sparrows were negatively associated with amount of bare ground; horned larks (Eremophila alpestris) were negatively associated with vertical grass density; Baird's sparrows (A. bairdii) were negatively associated with shrub density; meadowlarks (Sturnella magna and S. neglecta combined) were positively associated with native grass. Our results suggest that these species would benefit from management of habitat that affects the vegetative characteristics associated with their abundance.

","language":"English","publisher":"Southwestern Association of Naturalists","publisherLocation":"Dallas, TX","doi":"10.1894/F07-GDS-13.1","usgsCitation":"Ruth, J.M., Stanley, T.R., and Gordon, C.E., 2014, Associations of wintering birds with habitat in semidesert and plains grasslands in Arizona: Southwestern Naturalist, v. 59, no. 2, p. 199-211, https://doi.org/10.1894/F07-GDS-13.1.","productDescription":"13 p.","startPage":"199","endPage":"211","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061284","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438764,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OGPKHF","text":"USGS data release","linkHelpText":"AZ Winter Sparrow Transect Survey Data 1999 to 2005"},{"id":298391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.54693603515625,\n 31.33252503230784\n ],\n [\n -111.54693603515625,\n 31.87172661206501\n ],\n [\n -110.26565551757812,\n 31.87172661206501\n ],\n [\n -110.26565551757812,\n 31.33252503230784\n ],\n [\n -111.54693603515625,\n 31.33252503230784\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec42be4b02419550deba9","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, Caleb E.","contributorId":139608,"corporation":false,"usgs":false,"family":"Gordon","given":"Caleb","email":"","middleInitial":"E.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":542084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187412,"text":"70187412 - 2014 - Vulnerability of age-0 pallid sturgeon Scaphirhynchus albus to predation; effects of predator type, turbidity, body size, and prey density","interactions":[],"lastModifiedDate":"2017-05-02T13:41:03","indexId":"70187412","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of age-0 pallid sturgeon Scaphirhynchus albus to predation; effects of predator type, turbidity, body size, and prey density","docAbstract":"

Predation can play an important role in the recruitment dynamics of fishes with intensity regulated by behavioral (i.e., prey selectivity) and/or environmental conditions that may be especially important for rare or endangered fishes. We conducted laboratory experiments to quantify prey selection and capture efficiency by three predators employing distinct foraging strategies: pelagic piscivore (walleye Sander vitreus); benthic piscivore (flathead catfish Pylodictis olivaris) and generalist predator (smallmouth bass Micropterus dolomieu) foraging on two size classes of age-0 pallid sturgeon: large (75–100 mm fork length [FL]) and small (40–50 mm FL). Experiments at high (> 70 nephalometric turbidity units [NTU]) and low (< 5 NTU) turbidity for each predator were conducted with high and low densities of pallid sturgeon and contrasting densities of an alternative prey, fathead minnow Pimephales promelas. Predator behaviors (strikes, captures, and consumed prey) were also quantified for each prey type. Walleye and smallmouth bass negatively selected pallid sturgeon (Chesson’s α = 0.04–0.1) across all treatments, indicating low relative vulnerability to predation. Relative vulnerability to predation by flathead catfish was moderate for small pallid sturgeon (α = 0.44, neutral selection), but low for large pallid sturgeon (α = 0.11, negative selection). Turbidity (up to 100 NTU) did not affect pallid sturgeon vulnerability, even at low density of alternative prey. Age-0 pallid sturgeon were easily captured by all predators, but were rarely consumed, suggesting mechanisms other than predator capture efficiency govern sturgeon predation vulnerability.

","language":"English","publisher":"Springer","doi":"10.1007/s10641-013-0166-y","usgsCitation":"French, W.E., Graeb, B.D., Chipps, S.R., and Klumb, R.A., 2014, Vulnerability of age-0 pallid sturgeon Scaphirhynchus albus to predation; effects of predator type, turbidity, body size, and prey density: Environmental Biology of Fishes, v. 97, no. 6, p. 635-646, https://doi.org/10.1007/s10641-013-0166-y.","productDescription":"12 p.","startPage":"635","endPage":"646","ipdsId":"IP-037579","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-09","publicationStatus":"PW","scienceBaseUri":"59099ab0e4b0fc4e44915808","contributors":{"authors":[{"text":"French, William E.","contributorId":97355,"corporation":false,"usgs":true,"family":"French","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graeb, Brian D. S.","contributorId":171851,"corporation":false,"usgs":false,"family":"Graeb","given":"Brian","email":"","middleInitial":"D. S.","affiliations":[{"id":26956,"text":"Departement of Natural Resource Management, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":693986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klumb, Robert A.","contributorId":86606,"corporation":false,"usgs":true,"family":"Klumb","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false},{"id":5089,"text":"South Dakota State University","active":true,"usgs":false},{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":693987,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158658,"text":"70158658 - 2014 - Assessing effects of variation in global climate data sets on spatial predictions from climate envelope models","interactions":[],"lastModifiedDate":"2016-07-17T23:46:39","indexId":"70158658","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing effects of variation in global climate data sets on spatial predictions from climate envelope models","docAbstract":"

Climate change poses new challenges for natural resource managers. Predictive modeling of species–environment relationships using climate envelope models can enhance our understanding of climate change effects on biodiversity, assist in assessment of invasion risk by exotic organisms, and inform life-history understanding of individual species. While increasing interest has focused on the role of uncertainty in future conditions on model predictions, models also may be sensitive to the initial conditions on which they are trained. Although climate envelope models are usually trained using data on contemporary climate, we lack systematic comparisons of model performance and predictions across alternative climate data sets available for model training. Here, we seek to fill that gap by comparing variability in predictions between two contemporary climate data sets to variability in spatial predictions among three alternative projections of future climate. Overall, correlations between monthly temperature and precipitation variables were very high for both contemporary and future data. Model performance varied across algorithms, but not between two alternative contemporary climate data sets. Spatial predictions varied more among alternative general-circulation models describing future climate conditions than between contemporary climate data sets. However, we did find that climate envelope models with low Cohen's kappa scores made more discrepant spatial predictions between climate data sets for the contemporary period than did models with high Cohen's kappa scores. We suggest conservation planners evaluate multiple performance metrics and be aware of the importance of differences in initial conditions for spatial predictions from climate envelope models.

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/072012-JFWM-056","usgsCitation":"Romanach, S.S., Watling, J.I., Fletcher, R.J., Speroterra, C., Bucklin, D.N., Brandt, L., Pearlstine, L.G., Escribano, Y., and Mazzotti, F., 2014, Assessing effects of variation in global climate data sets on spatial predictions from climate envelope models: Journal of Fish and Wildlife Management, v. 5, no. 1, p. 14-25, https://doi.org/10.3996/072012-JFWM-056.","productDescription":"12 p.","startPage":"14","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027374","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":472969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/072012-jfwm-056","text":"Publisher Index Page"},{"id":309526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309494,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.3996/072012-JFWM-056"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":7,"text":"Ft. Lauderdale PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"560faab2e4b0ba4884c5eea7","contributors":{"authors":[{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":576377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watling, James I.","contributorId":10352,"corporation":false,"usgs":true,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":576444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":576445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Speroterra, Carolina","contributorId":34451,"corporation":false,"usgs":true,"family":"Speroterra","given":"Carolina","affiliations":[],"preferred":false,"id":576446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bucklin, David N.","contributorId":44812,"corporation":false,"usgs":true,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":576447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandt, Laura A.","contributorId":23089,"corporation":false,"usgs":true,"family":"Brandt","given":"Laura A.","affiliations":[],"preferred":false,"id":576448,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":576449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Escribano, Yesenia","contributorId":149009,"corporation":false,"usgs":false,"family":"Escribano","given":"Yesenia","email":"","affiliations":[],"preferred":false,"id":576450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mazzotti, Frank J.","contributorId":90236,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank J.","affiliations":[],"preferred":false,"id":576451,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70188033,"text":"70188033 - 2014 - Application of spatially gridded temperature and land cover data sets for urban heat island analysis","interactions":[],"lastModifiedDate":"2017-05-31T15:15:03","indexId":"70188033","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5408,"text":"Urban Climate","active":true,"publicationSubtype":{"id":10}},"title":"Application of spatially gridded temperature and land cover data sets for urban heat island analysis","docAbstract":"

Two gridded data sets that included (1) daily mean temperatures from 2006 through 2011 and (2) satellite-derived impervious surface area, were combined for a spatial analysis of the urban heat-island effect within the Dallas-Ft. Worth Texas region. The primary advantage of using these combined datasets included the capability to designate each 1 × 1 km grid cell of available temperature data as urban or rural based on the level of impervious surface area within the grid cell. Generally, the observed differences in urban and rural temperature increased as the impervious surface area thresholds used to define an urban grid cell were increased. This result, however, was also dependent on the size of the sample area included in the analysis. As the spatial extent of the sample area increased and included a greater number of rural defined grid cells, the observed urban and rural differences in temperature also increased. A cursory comparison of the spatially gridded temperature observations with observations from climate stations suggest that the number and location of stations included in an urban heat island analysis requires consideration to assure representative samples of each (urban and rural) environment are included in the analysis.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.uclim.2014.04.005","usgsCitation":"Gallo, K., and Xian, G.Z., 2014, Application of spatially gridded temperature and land cover data sets for urban heat island analysis: Urban Climate, v. 8, p. 1-10, https://doi.org/10.1016/j.uclim.2014.04.005.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-053639","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Dallas, Ft. Worth","volume":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd63fe4b0e9bd0ea89704","contributors":{"authors":[{"text":"Gallo, Kevin 0000-0001-9162-5011 kgallo@usgs.gov","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":192334,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","affiliations":[],"preferred":true,"id":696260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150322,"text":"70150322 - 2014 - Fish biodiversity sampling in stream ecosystems: a process for evaluating the appropriate types and amount of gear","interactions":[],"lastModifiedDate":"2015-07-24T11:26:18","indexId":"70150322","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Fish biodiversity sampling in stream ecosystems: a process for evaluating the appropriate types and amount of gear","docAbstract":"
    \n
  1. Because human impacts and climate change threaten aquatic ecosystems, a need exists to quantify catchment-scale biodiversity patterns and identify conservation actions that can mitigate adverse human impacts on aquatic biota.
    2. \n
  2. Whereas many traditional aquatic resource questions can be answered by repeatedly sampling a few target species with limited types of gear in the same habitats, sampling fish biodiversity patterns at larger scales requires a different approach. Researchers and managers need to determine the types of sampling gear and amount of effort that provide a representative estimate of biodiversity in a range of habitats across a catchment.
    3. \n
  3. Using a randomized block design within a 90-m stream reach that contained the same habitats as the scientific study area, fish assemblages were compared using three different types of gear (minnow traps, backpack electrofishing, and hoop nets) at three levels of effort (one, two, and three mixed-gear units) over four replicate days.
    4. \n
  4. A mixture of gear types best quantified fish assemblages. A combination of 10 minnow traps, 20-m of backpack electrofishing, and two hoop nets caught the most species. Additional gear added few new species. Resampling confirmed these results.
    5. \n
  5. When researchers and managers initiate sampling on a new stream or river system, they do not know how effective each gear type is and whether their sampling effort is adequate. Although the types and amount of gear may be different for other studies, systems, and research questions, the five-step process described here for making sampling decisions and evaluating sampling efficiency can be applied widely to any system to restore, manage, and conserve aquatic ecosystems. It is believed that incorporating this gear-evaluation process into a wide variety of studies and ecosystems will increase rigour within and across aquatic biodiversity studies.
    6. \n
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2420","usgsCitation":"Smith, J.M., Wells, S.P., Mather, M.E., and Muth, R.M., 2014, Fish biodiversity sampling in stream ecosystems: a process for evaluating the appropriate types and amount of gear: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 24, no. 3, p. 338-350, https://doi.org/10.1002/aqc.2420.","productDescription":"13 p.","startPage":"338","endPage":"350","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044030","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Fish Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.0870361328125,\n 42.622844161937174\n ],\n [\n -71.0870361328125,\n 42.69959515809203\n ],\n [\n -70.93116760253906,\n 42.69959515809203\n ],\n [\n -70.93116760253906,\n 42.622844161937174\n ],\n [\n -71.0870361328125,\n 42.622844161937174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-10","publicationStatus":"PW","scienceBaseUri":"55b361b2e4b09a3b01b5daa2","contributors":{"authors":[{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":565682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Sarah P.","contributorId":145927,"corporation":false,"usgs":false,"family":"Wells","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":565683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":556707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muth, Robert M.","contributorId":41682,"corporation":false,"usgs":true,"family":"Muth","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565684,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150351,"text":"70150351 - 2014 - Mount Baker lahars and debris flows, ancient, modern, and future","interactions":[],"lastModifiedDate":"2015-06-24T11:12:45","indexId":"70150351","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Mount Baker lahars and debris flows, ancient, modern, and future","docAbstract":"

The Middle Fork Nooksack River drains the southwestern slopes of the active Mount Baker stratovolcano in northwest Washington State. The river enters Bellingham Bay at a growing delta 98 km to the west. Various types of debris flows have descended the river, generated by volcano collapse or eruption (lahars), glacial outburst floods, and moraine landslides. Initial deposition of sediment during debris flows occurs on the order of minutes to a few hours. Long-lasting, down-valley transport of sediment, all the way to the delta, occurs over a period of decades, and affects fish habitat, flood risk, gravel mining, and drinking water.

\n

Holocene lahars and large debris flows (>106 m3) have left recognizable deposits in the Middle Fork Nooksack valley. A debris flow in 2013 resulting from a landslide in a Little Ice Age moraine had an estimated volume of 100,000 m3, yet affected turbidity for the entire length of the river, and produced a slug of sediment that is currently being reworked and remobilized in the river system. Deposits of smaller-volume debris flows, deposited as terraces in the upper valley, may be entirely eroded within a few years. Consequently, the geologic record of small debris flows such as those that occurred in 2013 is probably very fragmentary. Small debris flows may still have significant impacts on hydrology, biology, and human uses of rivers downstream. Impacts include the addition of waves of fine sediment to stream loads, scouring or burying salmon-spawning gravels, forcing unplanned and sudden closure of municipal water intakes, damaging or destroying trail crossings, extending river deltas into estuaries, and adding to silting of harbors near river mouths.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.0038(03)","usgsCitation":"Tucker, D.S., Scott, K.M., Grossman, E., and Linneman, S., 2014, Mount Baker lahars and debris flows, ancient, modern, and future: GSA Field Guides, no. 38, p. 33-52, https://doi.org/10.1130/2014.0038(03).","productDescription":"20 p.","startPage":"33","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056008","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":302278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Middle Fork Nooksack River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.354736328125,\n 48.715430944296834\n ],\n [\n -122.354736328125,\n 48.90083790234088\n ],\n [\n -121.7889404296875,\n 48.90083790234088\n ],\n [\n -121.7889404296875,\n 48.715430944296834\n ],\n [\n -122.354736328125,\n 48.715430944296834\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"38","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-09","publicationStatus":"PW","scienceBaseUri":"558bd4bee4b0b6d21dd65319","contributors":{"authors":[{"text":"Tucker, David S.","contributorId":143676,"corporation":false,"usgs":false,"family":"Tucker","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":15299,"text":"Geology Department, Western Washington University, Bellingham, WA 98225","active":true,"usgs":false}],"preferred":false,"id":556725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Kevin M.","contributorId":88331,"corporation":false,"usgs":true,"family":"Scott","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":556726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":556724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linneman, Scott","contributorId":143677,"corporation":false,"usgs":false,"family":"Linneman","given":"Scott","email":"","affiliations":[{"id":15300,"text":"Geology Department, Western Washington University, Bellingham, WA 98225","active":true,"usgs":false}],"preferred":false,"id":556727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155238,"text":"70155238 - 2014 - Transformation products and human metabolites of triclocarban and tricllosan in sewage sludge across the United States","interactions":[],"lastModifiedDate":"2018-09-04T16:39:55","indexId":"70155238","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Transformation products and human metabolites of triclocarban and tricllosan in sewage sludge across the United States","docAbstract":"

Removal of triclocarban (TCC) and triclosan (TCS) from wastewater is a function of adsorption, abiotic degradation, and microbial mineralization or transformation, reactions that are not currently controlled or optimized in the pollution control infrastructure of standard wastewater treatment. Here, we report on the levels of eight transformation products, human metabolites, and manufacturing byproducts of TCC and TCS in raw and treated sewage sludge. Two sample sets were studied: samples collected once from 14 wastewater treatment plants (WWTPs) representing nine states, and multiple samples collected from one WWTP monitored for 12 months. Time-course analysis of significant mass fluxes (α = 0.01) indicate that transformation of TCC (dechlorination) and TCS (methylation) occurred during sewage conveyance and treatment. Strong linear correlations were found between TCC and the human metabolite 2′-hydroxy-TCC (r = 0.84), and between the TCC-dechlorination products dichlorocarbanilide (DCC) and monochlorocarbanilide (r = 0.99). Mass ratios of DCC-to-TCC and of methyl-triclosan (MeTCS)-to-TCS, serving as indicators of transformation activity, revealed that transformation was widespread under different treatment regimes across the WWTPs sampled, though the degree of transformation varied significantly among study sites (α = 0.01). The analysis of sludge sampled before and after different unit operation steps (i.e., anaerobic digestion, sludge heat treatment, and sludge drying) yielded insights into the extent and location of TCC and TCS transformation. Results showed anaerobic digestion to be important for MeTCS transformation (37–74%), whereas its contribution to partial TCC dechlorination was limited (0.4–2.1%). This longitudinal and nationwide survey is the first to report the occurrence of transformation products, human metabolites, and manufacturing byproducts of TCC and TCS in sewage sludge.

","language":"English","publisher":"ACS Publications","doi":"10.1021/es5006362","usgsCitation":"Pycke, B.F., Roll, I.B., Brownawell, B., Kinney, C.A., Furlong, E.T., Kolpin, D.W., and Halden, R.U., 2014, Transformation products and human metabolites of triclocarban and tricllosan in sewage sludge across the United States: Environmental Science & Technology, v. 48, p. 7881-7890, https://doi.org/10.1021/es5006362.","productDescription":"10 p.","startPage":"7881","endPage":"7890","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053412","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.1021/es5006362","text":"Publisher Index Page"},{"id":306436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-25","publicationStatus":"PW","scienceBaseUri":"55c333b0e4b033ef52106aa3","contributors":{"authors":[{"text":"Pycke, Benny F.G.","contributorId":15056,"corporation":false,"usgs":true,"family":"Pycke","given":"Benny","email":"","middleInitial":"F.G.","affiliations":[],"preferred":false,"id":567355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roll, Isaac B.","contributorId":146303,"corporation":false,"usgs":false,"family":"Roll","given":"Isaac","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":567356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownawell, Bruce J.","contributorId":108264,"corporation":false,"usgs":true,"family":"Brownawell","given":"Bruce J.","affiliations":[],"preferred":false,"id":567357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinney, Chad A.","contributorId":56952,"corporation":false,"usgs":true,"family":"Kinney","given":"Chad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":567358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":567359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Halden, Rolf U.","contributorId":73865,"corporation":false,"usgs":true,"family":"Halden","given":"Rolf","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":567360,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160694,"text":"70160694 - 2014 - Lake trout in northern Lake Huron spawn on submerged drumlins","interactions":[],"lastModifiedDate":"2015-12-31T12:37:22","indexId":"70160694","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake trout in northern Lake Huron spawn on submerged drumlins","docAbstract":"

Recent observations of spawning lake trout Salvelinus namaycush near Drummond Island in northern Lake Huron indicate that lake trout use drumlins, landforms created in subglacial environments by the action of ice sheets, as a primary spawning habitat. From these observations, we generated a hypothesis that may in part explain locations chosen by lake trout for spawning. Most salmonines spawn in streams where they rely on streamflows to sort and clean sediments to create good spawning habitat. Flows sufficient to sort larger sediment sizes are generally lacking in lakes, but some glacial bedforms contain large pockets of sorted sediments that can provide the interstitial spaces necessary for lake trout egg incubation, particularly if these bedforms are situated such that lake currents can penetrate these sediments. We hypothesize that sediment inclusions from glacial scavenging and sediment sorting that occurred during the creation of bedforms such as drumlins, end moraines, and eskers create suitable conditions for lake trout egg incubation, particularly where these bedforms interact with lake currents to remove fine sediments. Further, these bedforms may provide high-quality lake trout spawning habitat at many locations in the Great Lakes and may be especially important along the southern edge of the range of the species. A better understanding of the role of glacially-derived bedforms in the creation of lake trout spawning habitat may help develop powerful predictors of lake trout spawning locations, provide insight into the evolution of unique spawning behaviors by lake trout, and aid in lake trout restoration in the Great Lakes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.03.011","collaboration":"Great Lakes Fishery Commission; University of Minnesota; University of Wisconsin-Milwaukee; Brock University; University of Vermont; Chippewa-Ottawa Resource Authority; U.S. Fish and Wildlife Service; Michigan Department of Natural Resources","usgsCitation":"Riley, S.C., Binder, T., Wattrus, N.J., Faust, M.D., Janssen, J., Menzies, J., Marsden, J., Ebener, M.P., Bronte, C.R., He, J.X., Tucker, T.R., Hansen, M.J., Thompson, H.T., Muir, A., and Krueger, C., 2014, Lake trout in northern Lake Huron spawn on submerged drumlins: Journal of Great Lakes Research, v. 40, no. 2, p. 415-420, https://doi.org/10.1016/j.jglr.2014.03.011.","productDescription":"6 p.","startPage":"415","endPage":"420","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050301","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312967,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jglr.2014.03.011"}],"country":"United States","state":"Michigan","otherGeospatial":"Drummond Island Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.5125732421875,\n 45.915810457254395\n ],\n [\n -83.6004638671875,\n 45.82401446834977\n ],\n [\n -83.29147338867188,\n 45.68603620740324\n ],\n [\n -83.78311157226561,\n 45.719603972998634\n ],\n [\n -83.76937866210938,\n 45.78189063850085\n ],\n [\n -83.91494750976562,\n 45.80391388619765\n ],\n [\n -83.86138916015624,\n 45.95305927379983\n ],\n [\n -83.6993408203125,\n 45.935870621190546\n ],\n [\n -83.6444091796875,\n 45.944465613675035\n ],\n [\n -83.57299804687499,\n 45.915810457254395\n ],\n [\n -83.529052734375,\n 45.91867663909007\n ],\n [\n -83.5125732421875,\n 45.915810457254395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56865fc8e4b0e7594ee74ccd","contributors":{"authors":[{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binder, Thomas 0000-0001-9266-9120 tbinder@usgs.gov","orcid":"https://orcid.org/0000-0001-9266-9120","contributorId":4958,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas","email":"tbinder@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wattrus, Nigel J.","contributorId":150900,"corporation":false,"usgs":false,"family":"Wattrus","given":"Nigel","email":"","middleInitial":"J.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":583580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":583581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janssen, John","contributorId":52543,"corporation":false,"usgs":true,"family":"Janssen","given":"John","affiliations":[],"preferred":false,"id":583582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menzies, John","contributorId":150901,"corporation":false,"usgs":false,"family":"Menzies","given":"John","email":"","affiliations":[{"id":18134,"text":"Brock University (Ontario, Canada)","active":true,"usgs":false}],"preferred":false,"id":583583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marsden, J. 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Hudson Shelf Valley is a 20–30 m deep, 5–10 km wide v-shaped submarine valley that extends across the Middle Atlantic Bight continental shelf. The valley provides a conduit for cross-shelf exchange via along-valley currents of 0.5 m s−1 or more. Current profile, pressure, and density observations collected during the winter of 1999–2000 are used to examine the vertical structure and dynamics of the flow. Near-bottom along-valley currents having times scales of a few days are driven by cross-shelf pressure gradients setup by wind stresses, with eastward (westward) winds driving onshore (offshore) flow within the valley. The along-valley momentum balance in the bottom boundary layer is predominantly between the pressure gradient and bottom stress because the valley bathymetry limits current veering. Above the bottom boundary layer, the flow veers toward an along-shelf (cross-valley) orientation and a geostrophic balance with some contribution from the wind stress (surface Ekman layer). The vertical structure and strength of the along-valley current depends on the magnitude and direction of the wind stress. During offshore flows driven by westward winds, the near-bottom stratification within the valley increases resulting in a thinner bottom boundary layer and weaker offshore currents. Conversely, during onshore flows driven by eastward winds the near-bottom stratification decreases resulting in a thicker bottom boundary layer and stronger onshore currents. Consequently, for wind stress magnitudes exceeding 0.1 N m−2, onshore along-valley transport associated with eastward wind stress exceeds the offshore transport associated with westward wind stress of the same magnitude.

","language":"English","publisher":"Wiley","doi":"10.1002/2014JC009883","usgsCitation":"Lentz, S.J., Butman, B., and Harris, C.K., 2014, The vertical structure of the circulation and dynamics in Hudson Shelf Valley: Journal of Geophysical Research, v. 119, no. 6, p. 3694-3713, https://doi.org/10.1002/2014JC009883.","productDescription":"20 p.","startPage":"3694","endPage":"3713","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055629","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jc009883","text":"Publisher Index Page"},{"id":299433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Hudson Shelf Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.574462890625,\n 35.15584570226544\n ],\n [\n -77.574462890625,\n 42.204107493733176\n ],\n [\n -69.85107421874999,\n 42.204107493733176\n ],\n [\n -69.85107421874999,\n 35.15584570226544\n ],\n [\n -77.574462890625,\n 35.15584570226544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-11","publicationStatus":"PW","scienceBaseUri":"5524ffb5e4b027f0aee3d48f","contributors":{"authors":[{"text":"Lentz, Steven J.","contributorId":41687,"corporation":false,"usgs":false,"family":"Lentz","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":544186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Courtney K.","contributorId":19620,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","email":"","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":544187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70146208,"text":"70146208 - 2014 - Forcing functions governing salt transport processes in coastal navigation canals and connectivity to surrounding marshes in South Louisiana using Houma Navigation Canal as a surrogate","interactions":[],"lastModifiedDate":"2015-12-07T15:04:15","indexId":"70146208","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Forcing functions governing salt transport processes in coastal navigation canals and connectivity to surrounding marshes in South Louisiana using Houma Navigation Canal as a surrogate","docAbstract":"

Understanding how circulation and mixing processes in coastal navigation canals influence the exchange of salt between marshes and coastal ocean, and how those processes are modulated by external physical processes, is critical to anticipating effects of future actions and circumstance. Examples of such circumstances include deepening the channel, placement of locks in the channel, changes in freshwater discharge down the channel, changes in outer continental shelf (OCS) vessel traffic volume, and sea level rise. The study builds on previous BOEM-funded studies by investigating salt flux variability through the Houma Navigation Canal (HNC). It examines how external physical factors, such as buoyancy forcing and mixing from tidal stirring and OCS vessel wakes, influence dispersive and advective fluxes through the HNC and the impact of this salt flux on salinity in nearby marshes. This study quantifies salt transport processes and salinity variability in the HNC and surrounding Terrebonne marshes. Data collected for this study include time-series data of salinity and velocity in the HNC, monthly salinity-depth profiles along the length of the channel, hourly vertical profiles of velocity and salinity over multiple tidal cycles, and salinity time series data at three locations in the surrounding marshes along a transect of increasing distance from the HNC. Two modes of vertical current structure were identified. The first mode, making up 90% of the total flow field variability, strongly resembled a barotropic current structure and was coherent with alongshelf wind stress over the coastal Gulf of Mexico. The second mode was indicative of gravitational circulation and was linked to variability in tidal stirring and the longitudinal salinity gradients along the channel’s length. Diffusive process were dominant drivers of upestuary salt transport, except during periods of minimal tidal stirring when gravitational circulation became more important. Salinity in the surrounding marshes was much more responsive to salinity variations in the HNC than it was to variations in the lower Terrebonne marshes, suggesting that the HNC is the primary conduit for saltwater intrusion to the middle Terrebonne marshes. Finally, salt transport to the middle Terrebonne marshes directly associated with vessel wakes was negligible.

","language":"English","publisher":"Bureau of Ocean Energy Management, Department of the Interior","publisherLocation":"New Orleans, LA","usgsCitation":"Snedden, G., 2014, Forcing functions governing salt transport processes in coastal navigation canals and connectivity to surrounding marshes in South Louisiana using Houma Navigation Canal as a surrogate, v. BOEM 2014-607, xxi, 64 p.","productDescription":"xxi, 64 p.","startPage":"1","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045516","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":312022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299660,"type":{"id":15,"text":"Index Page"},"url":"https://www.data.boem.gov/PI/PDFImages/ESPIS/5/5411.pdf"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.86242675781249,\n 29.173747044774984\n ],\n [\n -90.86242675781249,\n 29.57942881484495\n ],\n [\n -90.60012817382812,\n 29.57942881484495\n ],\n [\n -90.60012817382812,\n 29.173747044774984\n ],\n [\n -90.86242675781249,\n 29.173747044774984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"BOEM 2014-607","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbd7e4b06a3ea36c8b1f","contributors":{"authors":[{"text":"Snedden, Gregg 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":140235,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":544813,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70143269,"text":"70143269 - 2014 - Small mammals from the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala","interactions":[],"lastModifiedDate":"2015-03-18T12:09:53","indexId":"70143269","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Small mammals from the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala","docAbstract":"

We surveyed the small mammals of remnant mixed hardwood-coniferous cloud forest at elevations ranging from 2,100–2,300 m in the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala. Removal-trapping using a combination of live traps, snap traps, and pitfall traps for 6 days in January 2007 resulted in 175 captures of 15 species of marsupials, shrews, and rodents. This diversity of small mammals is the highest that we have recorded from a single locality of the 10 visited during eight field seasons in the highlands of Guatemala. Based on captures, the most abundant species in the community of small mammals is Peromyscus grandis (n = 50), followed by Handleyomys rhabdops (n = 27), Heteromys desmarestianus(n = 18), Reithrodontomys mexicanus (n = 17), Handleyomys saturatior (n = 16), Sorex veraepacis (n = 15), and Scotinomys teguina (n = 13). The remaining eight species were represented by one to five individuals.

","language":"English","publisher":"Southwestern Association of Naturalists","publisherLocation":"Dallas, TX","doi":"10.1894/F14-TAL-60.1","usgsCitation":"Matson, J.O., Ordonez-Garza, N., Woodman, N., Bulmer, W., Eckerlin, R., and Hanson, J.D., 2014, Small mammals from the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala: Southwestern Naturalist, v. 59, no. 2, p. 258-262, https://doi.org/10.1894/F14-TAL-60.1.","startPage":"258","endPage":"262","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049848","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":298719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","state":"Alta Verapaz","otherGeospatial":"Chelemhá Cloud Forest Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.07759094238281,\n 15.378136199728472\n ],\n [\n -90.07759094238281,\n 15.392204527403543\n ],\n [\n -90.05699157714844,\n 15.392204527403543\n ],\n [\n -90.05699157714844,\n 15.378136199728472\n ],\n [\n -90.07759094238281,\n 15.378136199728472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1bfe4b02e76d7590c04","contributors":{"authors":[{"text":"Matson, Jason O.","contributorId":139698,"corporation":false,"usgs":false,"family":"Matson","given":"Jason","email":"","middleInitial":"O.","affiliations":[{"id":12882,"text":"Department of Biological Sciences, San Jose State University, San Jose, CA 95192-0100","active":true,"usgs":false}],"preferred":false,"id":542544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ordonez-Garza, Nicte","contributorId":139699,"corporation":false,"usgs":false,"family":"Ordonez-Garza","given":"Nicte","email":"","affiliations":[{"id":12883,"text":"Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409-3131","active":true,"usgs":false}],"preferred":false,"id":542545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":542543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bulmer, Walter","contributorId":26923,"corporation":false,"usgs":false,"family":"Bulmer","given":"Walter","email":"","affiliations":[],"preferred":false,"id":542546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eckerlin, Ralph P.","contributorId":17087,"corporation":false,"usgs":true,"family":"Eckerlin","given":"Ralph P.","affiliations":[],"preferred":false,"id":542547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, J. Delton","contributorId":139700,"corporation":false,"usgs":false,"family":"Hanson","given":"J.","email":"","middleInitial":"Delton","affiliations":[{"id":12884,"text":"Research and Testing Laboratory, Lubbock, TX 79416","active":true,"usgs":false}],"preferred":false,"id":542548,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70144433,"text":"70144433 - 2014 - Minimizing the cost of keeping options open for conservation in a changing climate","interactions":[],"lastModifiedDate":"2015-03-30T10:32:14","indexId":"70144433","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Minimizing the cost of keeping options open for conservation in a changing climate","docAbstract":"

Policy documents advocate that managers should keep their options open while planning to protect coastal ecosystems from climate-change impacts. However, the actual costs and benefits of maintaining flexibility remain largely unexplored, and alternative approaches for decision making under uncertainty may lead to better joint outcomes for conservation and other societal goals. For example, keeping options open for coastal ecosystems incurs opportunity costs for developers. We devised a decision framework that integrates these costs and benefits with probabilistic forecasts for the extent of sea-level rise to find a balance between coastal ecosystem protection and moderate coastal development. Here, we suggest that instead of keeping their options open managers should incorporate uncertain sea-level rise predictions into a decision-making framework that evaluates the benefits and costs of conservation and development. In our example, based on plausible scenarios for sea-level rise and assuming a risk-neutral decision maker, we found that substantial development could be accommodated with negligible loss of environmental assets. Characterization of the Pareto efficiency of conservation and development outcomes provides valuable insight into the intensity of trade-offs between development and conservation. However, additional work is required to improve understanding of the consequences of alternative spatial plans and the value judgments and risk preferences of decision makers and stakeholders.

","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1111/cobi.12238","usgsCitation":"Mills, M., Nicol, S., Wells, J.A., Lahoz-Monfort, J.J., Wintle, B., Bode, M., Wardrop, M., Walshe, T., Probert, W., Runge, M.C., Possingham, H.P., and McDonald Madden, E., 2014, Minimizing the cost of keeping options open for conservation in a changing climate: Conservation Biology, v. 28, no. 3, p. 646-653, https://doi.org/10.1111/cobi.12238.","productDescription":"8 p.","startPage":"646","endPage":"653","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061256","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":299121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-29","publicationStatus":"PW","scienceBaseUri":"551a7604e4b03238427835eb","contributors":{"authors":[{"text":"Mills, Morena","contributorId":139962,"corporation":false,"usgs":false,"family":"Mills","given":"Morena","email":"","affiliations":[{"id":13335,"text":"The University of Queensland","active":true,"usgs":false}],"preferred":false,"id":543586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicol, Samuel","contributorId":58562,"corporation":false,"usgs":false,"family":"Nicol","given":"Samuel","email":"","affiliations":[{"id":12496,"text":"CSIRO Ecosystem Sciences","active":true,"usgs":false}],"preferred":false,"id":543587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wells, Jessie A.","contributorId":139964,"corporation":false,"usgs":false,"family":"Wells","given":"Jessie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":543594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lahoz-Monfort, Jose J.","contributorId":139965,"corporation":false,"usgs":false,"family":"Lahoz-Monfort","given":"Jose","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":543595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wintle, Brendan","contributorId":139963,"corporation":false,"usgs":false,"family":"Wintle","given":"Brendan","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":543588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bode, Michael","contributorId":139966,"corporation":false,"usgs":false,"family":"Bode","given":"Michael","email":"","affiliations":[],"preferred":false,"id":543596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wardrop, Martin","contributorId":139967,"corporation":false,"usgs":false,"family":"Wardrop","given":"Martin","email":"","affiliations":[],"preferred":false,"id":543597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walshe, Terry","contributorId":28151,"corporation":false,"usgs":true,"family":"Walshe","given":"Terry","affiliations":[],"preferred":false,"id":543598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Probert, William J. M.","contributorId":44759,"corporation":false,"usgs":false,"family":"Probert","given":"William J. M.","affiliations":[],"preferred":false,"id":543599,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":543585,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Possingham, Hugh P.","contributorId":20882,"corporation":false,"usgs":false,"family":"Possingham","given":"Hugh","email":"","middleInitial":"P.","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":543589,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McDonald Madden, Eve","contributorId":65978,"corporation":false,"usgs":false,"family":"McDonald Madden","given":"Eve","email":"","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":543590,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70145956,"text":"70145956 - 2014 - Evaluation of road expansion and connectivity mitigation for wildlife in southern California","interactions":[],"lastModifiedDate":"2018-03-23T14:04:33","indexId":"70145956","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of road expansion and connectivity mitigation for wildlife in southern California","docAbstract":"

We designed a remote-camera survey to study how the expansion of California State Route 71 (CA-71) and implementation of connectivity mitigation affected the use of underpasses by large mammals in southern California. Based on detections by cameras, the use of underpasses by bobcats (Lynx rufus) was higher within the area of expansion and mitigation after construction than before, but there was no difference in use of underpasses in the impact zone compared to the control zone before or after construction. Use of underpasses by coyotes (Canis latrans) was higher in the control zone than in the impact zone, but there was no difference in use before and after construction. Small numbers of detections of mule deer (Odocoileus hemionus) at only a few underpasses precluded comparison between control and impact zones. However, a comparison of use before and after construction revealed that use of underpasses by mule deer was slightly higher post-construction. We cannot fully attribute increased detections post-construction to mitigative efforts, because other factors, such as availability of habitat, urbanization, or demography, also may have influenced use of underpasses along CA-71. Nonetheless, even with the expansion of the freeway and subsequent increase in volume of traffic, mitigative structures along CA-71 did allow for continued movement and, hence, connectivity across the roadway for large mammals.

","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/F04-TAL-51.1","usgsCitation":"Alonso, R.S., Lyren, L.M., Boydston, E.E., Haas, C.D., and Crooks, K.R., 2014, Evaluation of road expansion and connectivity mitigation for wildlife in southern California: Southwestern Naturalist, v. 59, no. 2, p. 181-187, https://doi.org/10.1894/F04-TAL-51.1.","productDescription":"7 p.","startPage":"181","endPage":"187","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041346","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.73000717163086,\n 33.884239886775994\n ],\n [\n -117.73000717163086,\n 33.99389996804334\n ],\n [\n -117.62426376342772,\n 33.99389996804334\n ],\n [\n -117.62426376342772,\n 33.884239886775994\n ],\n [\n -117.73000717163086,\n 33.884239886775994\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5528f42fe4b026915857cb12","contributors":{"authors":[{"text":"Alonso, Robert S.","contributorId":93739,"corporation":false,"usgs":false,"family":"Alonso","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":544529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haas, Christopher D.","contributorId":54076,"corporation":false,"usgs":true,"family":"Haas","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":544531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":544532,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134513,"text":"70134513 - 2014 - Effects of smectite on the oil-expulsion efficiency of the Kreyenhagen Shale, San Joaquin Basin, California, based on hydrous-pyrolysis experiments","interactions":[],"lastModifiedDate":"2014-12-02T16:25:59","indexId":"70134513","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smectite on the oil-expulsion efficiency of the Kreyenhagen Shale, San Joaquin Basin, California, based on hydrous-pyrolysis experiments","docAbstract":"

The amount of oil that maturing source rocks expel is expressed as their expulsion efficiency, which is usually stated in milligrams of expelled oil per gram of original total organic carbon (TOCO). Oil-expulsion efficiency can be determined by heating thermally immature source rocks in the presence of liquid water (i.e., hydrous pyrolysis) at temperatures between 350°C and 365°C for 72 hr. This pyrolysis method generates oil that is compositionally similar to natural crude oil and expels it by processes operative in the subsurface. Consequently, hydrous pyrolysis provides a means to determine oil-expulsion efficiencies and the rock properties that influence them. Smectite in source rocks has previously been considered to promote oil generation and expulsion and is the focus of this hydrous-pyrolysis study involving a representative sample of smectite-rich source rock from the Eocene Kreyenhagen Shale in the San Joaquin Basin of California. Smectite is the major clay mineral (31 wt. %) in this thermally immature sample, which contains 9.4 wt. % total organic carbon (TOC) comprised of type II kerogen. Compared to other immature source rocks that lack smectite as their major clay mineral, the expulsion efficiency of the Kreyenhagen Shale was significantly lower. The expulsion efficiency of the Kreyenhagen whole rock was reduced 88% compared to that of its isolated kerogen. This significant reduction is attributed to bitumen impregnating the smectite interlayers in addition to the rock matrix. Within the interlayers, much of the bitumen is converted to pyrobitumen through crosslinking instead of oil through thermal cracking. As a result, smectite does not promote oil generation but inhibits it. Bitumen impregnation of the rock matrix and smectite interlayers results in the rock pore system changing from water wet to bitumen wet. This change prevents potassium ion (K+) transfer and dissolution and precipitation reactions needed for the conversion of smectite to illite. As a result, illitization only reaches 35% to 40% at 310°C for 72 hr and remains unchanged to 365°C for 72 hr. Bitumen generation before or during early illitization in these experiments emphasizes the importance of knowing when and to what degree illitization occurs in natural maturation of a smectite-rich source rock to determine its expulsion efficiency. Complete illitization prior to bitumen generation is common for Paleozoic source rocks (e.g., Woodford Shale and Retort Phosphatic Shale Member of the Phosphoria Formation), and expulsion efficiencies can be determined on immature samples by hydrous pyrolysis. Conversely, smectite is more common in Cenozoic source rocks like the Kreyenhagen Shale, and expulsion efficiencies determined by hydrous pyrolysis need to be made on samples that reflect the level of illitization at or near bitumen generation in the subsurface.

","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/10091313059","usgsCitation":"Lewan, M., Dolan, M.P., and Curtis, J.B., 2014, Effects of smectite on the oil-expulsion efficiency of the Kreyenhagen Shale, San Joaquin Basin, California, based on hydrous-pyrolysis experiments: AAPG Bulletin, v. 98, no. 6, p. 1091-1109, https://doi.org/10.1306/10091313059.","productDescription":"19 p.","startPage":"1091","endPage":"1109","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045149","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.18994140624999,\n 34.125447565116126\n ],\n [\n -122.18994140624999,\n 37.87485339352928\n ],\n [\n -117.6416015625,\n 37.87485339352928\n ],\n [\n -117.6416015625,\n 34.125447565116126\n ],\n [\n -122.18994140624999,\n 34.125447565116126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2bfe4b09357f05f8a49","contributors":{"authors":[{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":526096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolan, Michael P.","contributorId":12880,"corporation":false,"usgs":false,"family":"Dolan","given":"Michael","email":"","middleInitial":"P.","affiliations":[{"id":7104,"text":"Dolan Integration Group, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":526098,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Curtis, John B.","contributorId":70972,"corporation":false,"usgs":false,"family":"Curtis","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":526097,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70132438,"text":"70132438 - 2014 - Anaxyrus boreas (western toad) predation","interactions":[],"lastModifiedDate":"2014-11-18T13:24:18","indexId":"70132438","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Anaxyrus boreas (western toad) predation","docAbstract":"

No abstract available.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Leah K, S., Cayley R, F., Hossack, B.R., and Muths, E.L., 2014, Anaxyrus boreas (western toad) predation: Herpetological Review, v. 45, no. 2, p. 303-303.","productDescription":"1 p.","startPage":"303","endPage":"303","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049906","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296170,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.zenscientist.com/index.php/filedrawer/func-finishdown/2211/"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c75d3e4b0f4a3478a60c9","contributors":{"authors":[{"text":"Leah K, Swartz","contributorId":127014,"corporation":false,"usgs":false,"family":"Leah K","given":"Swartz","affiliations":[{"id":6761,"text":"Northern Rockies Conservation Cooperative, Jackson, Wyoming","active":true,"usgs":false}],"preferred":false,"id":522874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayley R, Faurot-Daniels","contributorId":127015,"corporation":false,"usgs":false,"family":"Cayley R","given":"Faurot-Daniels","email":"","affiliations":[{"id":6761,"text":"Northern Rockies Conservation Cooperative, Jackson, Wyoming","active":true,"usgs":false}],"preferred":false,"id":522875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":522876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70108191,"text":"ds853 - 2014 - Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012","interactions":[],"lastModifiedDate":"2014-05-30T15:53:00","indexId":"ds853","displayToPublicDate":"2014-05-30T15:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"853","title":"Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012","docAbstract":"

Mangrove forests and salt marshes dominate the landscape of the coastal Everglades (Odum and McIvor, 1990). However, the ecological effects from potential sea-level rise and increased water flows from planned freshwater Everglades restoration on these coastal systems are poorly understood. The National Park Service (NPS) proposed the South Florida Global Climate Change Project (SOFL-GCC) in 1990 to evaluate climate change and the effect from rising sea levels on the coastal Everglades, particularly at the marsh/mangrove interface or ecotone (Soukup and others, 1990). A primary objective of SOFL-GCC project was to monitor and synthesize the hydrodynamics of the coastal Everglades from the upstream freshwater marsh to the downstream estuary mangrove. Two related hypotheses were set forward (Nuttle and Cosby, 1993):

\n
\n

1. There exists hydrologic conditions (tide, local rainfall, and upstream water deliveries), which characterize the location of the marsh/mangrove ecotone along the marine and terrestrial hydrologic gradient; and
\n2. The marsh/mangrove ecotone is sensitive to fluctuations in sea level and freshwater inflow from inland areas.

\n
\n

Hydrologic monitoring of the SOFL-GCC network began in 1995 after startup delays from Hurricane Andrew (August 1992) and organizational transfers from the NPS to the National Biological Survey (October 1993) and the merger with the U.S. Geological Survey (USGS) Biological Research Division in 1996 (Smith, 2004). As the SOFL-GCC project progressed, concern by environmental scientists and land managers over how the diversion of water from Everglades National Park would affect the restoration of the greater Everglades ecosystem. Everglades restoration scenarios were based on hydrodynamic models, none of which included the coastal zone (Fennema and others, 1994). Modeling efforts were expanded to include the Everglades coastal zone (Schaffranek and others, 2001) with SOFL-GCC hydrologic data assisting the ecological modeling needs. In 2002, as a response for a more interdisciplinary science approach to understanding the coastal Everglades ecological system, the SOFL-GCC hydrology project was integrated into the “Dynamics of Land-Margin Ecosystems: Historical Change, Hydrology, Vegetation, Sediment, and Climate” study (Smith and others, 2002). Data from the ongoing study has been useful in providing an empirical hydrologic baseline for the greater Everglades ecosystem restoration science and management needs.

\n
\n

The hydrology network consisted of 13 hydrologic gaging stations installed in the southwestern coastal region of Everglades National Park along three transects: Shark River (Shark or SH) transect, Lostmans River (Lostmans or LO) transect, and Chatham River (Chatham or CH) transect (fig. 1). There were five paired surface-water/groundwater gaging stations on the Shark transect (SH1, SH2, SH3, SH4, and SH5) and one stage gaging station (BSC) in the Big Sable Creek; four paired surface-water/groundwater gaging stations on the Lostmans transect (LO1, LO2, LO3, and LO4); and three paired surface-water/groundwater gaging stations on the Chatham transect (CH1, CH2, and CH3). Both surface-water and groundwater levels, salinities, and temperatures were monitored at the paired gaging stations. Rainfall was recorded at marsh and open canopy gaging stations. This report details the study introduction, method, and description of data collected, which are accessible through the final instantaneous hydrologic dataset stored in the USGS South Florida Information Access (SOFIA) South Florida Hydrology Database website, http://sofia.usgs.gov/exchange/sfl_hydro_data/location.html#brdlandmargin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds853","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science Program. Prepared in cooperation with the U.S. Army Corps of Engineers and Everglades National Park","usgsCitation":"Anderson, G.H., Smith, T.J., and Balentine, K., 2014, Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012: U.S. Geological Survey Data Series 853, vi, 38 p., https://doi.org/10.3133/ds853.","productDescription":"vi, 38 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-046122","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":287902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds853.PNG"},{"id":287899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/853/"},{"id":287901,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/853/pdf/ds853.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.4938,24.9885 ], [ -81.4938,25.8005 ], [ -80.7636,25.8005 ], [ -80.7636,24.9885 ], [ -81.4938,24.9885 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7758e4b0abf75cf2c108","contributors":{"authors":[{"text":"Anderson, Gordon H. 0000-0003-1675-8329 gordon_anderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":2771,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","email":"gordon_anderson@usgs.gov","middleInitial":"H.","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":493993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":493992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balentine, Karen M.","contributorId":79806,"corporation":false,"usgs":true,"family":"Balentine","given":"Karen M.","affiliations":[],"preferred":false,"id":493994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70094787,"text":"sir20145034 - 2014 - 2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2019-03-13T15:37:17","indexId":"sir20145034","displayToPublicDate":"2014-05-30T14:55:00","publicationYear":"2014","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":"2014-5034","title":"2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory","docAbstract":"The Alaska Volcano Observatory (AVO) responded to eruptions, possible eruptions, volcanic unrest or suspected unrest at 12 volcanic centers in Alaska during 2010. The most notable volcanic activity consisted of intermittent ash emissions from long-active Cleveland volcano in the Aleutian Islands. AVO staff also participated in hazard communication regarding eruptions or unrest at seven volcanoes in Russia as part of an ongoing collaborative role in the Kamchatka and Sakhalin Volcanic Eruption Response Teams.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145034","collaboration":"The Alaska Volcano Observatory is a cooperative program of the U.S. Geological Survey, University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological and Geophysical Surveys. The Alaska Volcano Observatory is funded by the U.S. Geological Survey Volcano Hazards Program and the State of Alaska.","usgsCitation":"Neal, C., Herrick, J., Girina, O., Chibisova, M., Rybin, A., McGimsey, R.G., and Dixon, J., 2014, 2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2014-5034, vii, 76 p., https://doi.org/10.3133/sir20145034.","productDescription":"vii, 76 p.","numberOfPages":"88","onlineOnly":"Y","ipdsId":"IP-051129","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":287895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145034.jpg"},{"id":287893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5034/"},{"id":287894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5034/pdf/sir2014-5034.pdf"}],"country":"Russia;United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Kamchatka Peninsula, Kurile Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"539a2a13e4b0a59b26496f9c","contributors":{"authors":[{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":490916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Julie","contributorId":77853,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","affiliations":[],"preferred":false,"id":490915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Girina, O.A.","contributorId":93393,"corporation":false,"usgs":true,"family":"Girina","given":"O.A.","affiliations":[],"preferred":false,"id":490917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chibisova, Marina","contributorId":35016,"corporation":false,"usgs":true,"family":"Chibisova","given":"Marina","affiliations":[],"preferred":false,"id":490913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rybin, Alexander","contributorId":65187,"corporation":false,"usgs":true,"family":"Rybin","given":"Alexander","affiliations":[],"preferred":false,"id":490914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":490912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dixon, Jim","contributorId":104997,"corporation":false,"usgs":true,"family":"Dixon","given":"Jim","email":"","affiliations":[],"preferred":false,"id":490918,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70103045,"text":"ds845 - 2014 - A pier-scour database: 2,427 field and laboratory measurements of pier scour","interactions":[],"lastModifiedDate":"2019-12-23T09:33:17","indexId":"ds845","displayToPublicDate":"2014-05-30T13:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"845","title":"A pier-scour database: 2,427 field and laboratory measurements of pier scour","docAbstract":"The U.S. Geological Survey conducted a literature review to identify potential sources of published pier-scour data, and selected data were compiled into a digital spreadsheet called the 2014 USGS Pier-Scour Database (PSDb-2014) consisting of 569 laboratory and 1,858 field measurements. These data encompass a wide range of laboratory and field conditions and represent field data from 23 States within the United States and from 6 other countries. The digital spreadsheet is available on the Internet and offers a valuable resource to engineers and researchers seeking to understand pier-scour relations in the laboratory and field.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds845","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Benedict, S., and Caldwell, A.W., 2014, A pier-scour database: 2,427 field and laboratory measurements of pier scour: U.S. Geological Survey Data Series 845, Report: vi, 22 p.; Table, https://doi.org/10.3133/ds845.","productDescription":"Report: vi, 22 p.; Table","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050919","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":287882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds845.jpg"},{"id":287880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0845/pdf/ds845.pdf"},{"id":287879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0845/"},{"id":287881,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0845/table/ds845_psdb-2014_version1.0.xlsx"}],"country":"Canada, China, Russia, United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7617e4b0abf75cf2be83","contributors":{"authors":[{"text":"Benedict, Stephen T. benedict@usgs.gov","contributorId":3198,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen T.","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}