{"pageNumber":"112","pageRowStart":"2775","pageSize":"25","recordCount":10454,"records":[{"id":70186013,"text":"70186013 - 2017 - Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","interactions":[],"lastModifiedDate":"2017-03-30T09:25:38","indexId":"70186013","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","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":"Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","docAbstract":"<p><span>Increased nutrient and sediment loading in rivers have caused observable changes in algal community composition, and thereby, altered the quality and quantity of food resources available to native freshwater mussels. Our objective was to characterize the relationship between nutrient conditions and mussel food quality and examine the effects on fatty acid composition, growth and survival of juvenile mussels. Juvenile </span><i>Lampsilis cardium</i><span> and </span><i>L</i><span>. </span><i>siliquoidea</i><span> were deployed in cages for 28 d at four riverine and four lacustrine sites in the lower St. Croix River, Minnesota/Wisconsin, USA. Mussel foot tissue and food resources (four seston fractions and surficial sediment) were analyzed for quantitative fatty acid (FA) composition. Green algae were abundant in riverine sites, whereas cyanobacteria were most abundant in the lacustrine sites. Mussel survival was high (95%) for both species. </span><i>Lampsilis cardium</i><span> exhibited lower growth relative to </span><i>L</i><span>. </span><i>siliquoidea</i><span> (p &lt;0.0001), but growth of </span><i>L</i><span>. </span><i>cardium</i><span> was not significantly different across sites (p = 0.13). In contrast, growth of </span><i>L</i><span>. </span><i>siliquoidea</i><span> was significantly greater at the most upstream riverine site compared to the lower three lacustrine sites (p = 0.002). </span><i>In situ</i><span> growth of </span><i>Lampsilis siliquoidea</i><span> was positively related to volatile solids (10 – 32 μm fraction), total phosphorus (&lt;10 and 10 – 32 μm fractions), and select FA in the seston (docosapentaeonic acid, DPA, 22:5n3; 4,7,10,13,16-docosapentaenoic, 22:5n6; arachidonic acid, ARA, 20:4n6; and 24:0 in the &lt;10 and 10 – 32 μm fractions). Our laboratory feeding experiment also indicated high accumulation ratios for 22:5n3, 22:5n6, and 20:4n6 in mussel tissue relative to supplied algal diet. In contrast, growth of </span><i>L</i><span>. </span><i>siliquiodea</i><span> was negatively related to nearly all FAs in the largest size fraction (i.e., &gt;63 μm) of seston, including the bacterial FAs, and several of the FAs associated with sediments. Reduced mussel growth was observed in </span><i>L</i><span>. </span><i>siliquoidea</i><span> when the abundance of cyanobacteria exceeded 9% of the total phytoplankton biovolume. Areas dominated by cyanobacteria may not provide sufficient food quality to promote or sustain mussel growth.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0173419","usgsCitation":"Bartsch, M.R., Bartsch, L., Richardson, W.B., Vallazza, J.M., and Moraska Lafrancois, B., 2017, Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels: PLoS ONE, v. 12, no. 3, e0173419; 26 p., https://doi.org/10.1371/journal.pone.0173419.","productDescription":"e0173419; 26 p.","ipdsId":"IP-080604","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0173419","text":"Publisher Index Page"},{"id":338773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Croix River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.328857421875,\n              44.68818283842486\n            ],\n            [\n              -91.4227294921875,\n              44.68818283842486\n            ],\n            [\n              -91.4227294921875,\n              46.426499019253\n            ],\n            [\n              -93.328857421875,\n              46.426499019253\n            ],\n            [\n              -93.328857421875,\n              44.68818283842486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c8b","contributors":{"authors":[{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moraska Lafrancois, Brenda","contributorId":190133,"corporation":false,"usgs":false,"family":"Moraska Lafrancois","given":"Brenda","email":"","affiliations":[],"preferred":false,"id":687349,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185808,"text":"70185808 - 2017 - Manatee grazing impacts on a mixed species seagrass bed","interactions":[],"lastModifiedDate":"2017-03-29T15:36:34","indexId":"70185808","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Manatee grazing impacts on a mixed species seagrass bed","docAbstract":"<p><span>The endangered manatee </span><i>Trichechus manatus</i><span> is one of few large grazers in seagrass systems. To assess the long-term impacts of repeated grazing on seagrasses, we selected a study site within Kennedy Space Center in the northern Banana River, Brevard County, Florida, that was typically grazed by large numbers of manatees in spring. Two 13x13 m manatee exclosures and 2 paired open plots of equal size were established at the study site in October 1990. Shoot counts, biomass, and species composition of the co-dominant seagrass species, </span><i>Syringodium filiforme</i><span> and </span><i>Halodule wrightii</i><span>, were sampled 3 times per year in all 4 plots between October 1990 and October 1994. We used a Bayesian modelling approach, accounting for the influence of depth, to detect treatment (exclosed vs. open) effects. </span><i>S. filiforme</i><span> shoot counts, total biomass, and frequency of occurrence significantly increased in the exclosures. By July 1993, mean biomass values in the exclosures (167 g dry wt m</span><sup>-2</sup><span>) greatly exceeded those in the open plots (28 g dry wt m</span><sup>-2</sup><span>). </span><i>H. wrightii</i><span> decreased in the exclosures by 1994. Initially, both </span><i>S. filiforme</i><span> and </span><i>H. wrightii</i><span> responded positively to release from manatee grazing pressure. As </span><i>S. filiforme</i><span> continued to become denser in the exclosures, it gradually replaced </span><i>H. wrightii</i><span>. Our findings may be helpful to biologists and managers interested in predicting seagrass recovery and manatee carrying capacity of repeatedly grazed seagrass beds in areas of special significance to manatees and seagrass conservation.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11986","collaboration":"InoMedic Health Applications, Inc;National Oceanic and Atmospheric Administrationmahon","usgsCitation":"Lefebvre, L.W., Provancha, J.A., Slone, D., and Kenworthy, W.J., 2017, Manatee grazing impacts on a mixed species seagrass bed: Marine Ecology Progress Series, v. 564, p. 29-45, https://doi.org/10.3354/meps11986.","productDescription":"17 p.","startPage":"29","endPage":"45","ipdsId":"IP-072284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":338694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"564","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d1e4b02ff32c68565d","contributors":{"authors":[{"text":"Lefebvre, Lynn W. 0000-0002-4464-6263 llefebvre@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6263","contributorId":1614,"corporation":false,"usgs":true,"family":"Lefebvre","given":"Lynn","email":"llefebvre@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":686787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provancha, Jane A.","contributorId":190011,"corporation":false,"usgs":false,"family":"Provancha","given":"Jane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":686788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenworthy, W. Judson","contributorId":190012,"corporation":false,"usgs":false,"family":"Kenworthy","given":"W.","email":"","middleInitial":"Judson","affiliations":[],"preferred":false,"id":686789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185739,"text":"70185739 - 2017 - Optimization of on-line hydrogen stable isotope ratio measurements of halogen- and sulfur-bearing organic compounds using elemental analyzer–chromium/high-temperature conversion isotope ratio mass spectrometry (EA-Cr/HTC-IRMS)","interactions":[],"lastModifiedDate":"2017-03-28T14:50:19","indexId":"70185739","displayToPublicDate":"2017-03-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of on-line hydrogen stable isotope ratio measurements of halogen- and sulfur-bearing organic compounds using elemental analyzer–chromium/high-temperature conversion isotope ratio mass spectrometry (EA-Cr/HTC-IRMS)","docAbstract":"Rationale: Accurate hydrogen isotopic analysis of halogen- and sulfur-bearing organics has not been possible with traditional high-temperature conversion (HTC) because the formation of hydrogen-bearing reaction products other than molecular hydrogen (H2) is responsible for non-quantitative H2 yields and possible hydrogen isotopic fractionation. Our previously introduced, new chromium-based EA-Cr/HTC-IRMS (Elemental Analyzer–Chromium/High-Temperature Conversion Isotope Ratio Mass Spectrometry) technique focused primarily on nitrogen-bearing compounds. Several technical and analytical issues concerning halogen- and sulfur-bearing samples, however, remained unresolved and required further refinement of the reactor systems.\nMethods: The EA-Cr/HTC reactor was substantially modified for the conversion of halogen- and sulfur-bearing samples. The performance of the novel conversion setup for solid and liquid samples was monitored and optimized using a simultaneously operating dual-detection system of IRMS and ion trap MS. The method with several variants in the reactor, including the addition of manganese metal chips, was evaluated in three laboratories using EA-Cr/HTC-IRMS (on-line method) and compared with traditional uranium-reduction-based conversion combined with manual dual-inlet IRMS analysis (off-line method) in one laboratory.\nResults: The modified EA-Cr/HTC reactor setup showed an overall H2-recovery of more than 96% for all halogen- and sulfur-bearing organic compounds. All results were successfully normalized via two-point calibration with VSMOW-SLAP reference waters. Precise and accurate hydrogen isotopic analysis was achieved for a variety of organics containing F-, Cl-, Br-, I-, and S-bearing heteroelements. The robust nature of the on-line EA-Cr/HTC technique was demonstrated by a series of 196 consecutive measurements with a single reactor filling.\nConclusions: The optimized EA-Cr/HTC reactor design can be implemented in existing analytical equipment using commercially available material and is universally applicable for both heteroelement-bearing and heteroelement-free organic-compound classes. The sensitivity and simplicity of the on-line EA-Cr/HTC-IRMS technique provide a much needed tool for routine hydrogen-isotope source tracing of organic contaminants in the environment. Copyright © 2016 John Wiley & Sons, Ltd.","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7810","usgsCitation":"Gehre, M., Renpenning, J., Geilmann, H., Qi, H., Coplen, T.B., Kummel, S., Ivdra, N., Brand, W.A., and Schimmelmann, A., 2017, Optimization of on-line hydrogen stable isotope ratio measurements of halogen- and sulfur-bearing organic compounds using elemental analyzer–chromium/high-temperature conversion isotope ratio mass spectrometry (EA-Cr/HTC-IRMS): Rapid Communications in Mass Spectrometry, v. 31, no. 6, p. 475-484, https://doi.org/10.1002/rcm.7810.","productDescription":"10 p.","startPage":"475","endPage":"484","ipdsId":"IP-081933","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438407,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HD7STB","text":"USGS data release","linkHelpText":"Tables supporting improved EA-Cr_HTC hydrogen-isotope technique for halogen- and S-bearing organic compounds"},{"id":338485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338481,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/rcm.7810"}],"volume":"31","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-09","publicationStatus":"PW","scienceBaseUri":"58db762fe4b0ee37af29e49a","contributors":{"authors":[{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":686596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renpenning, Julian","contributorId":189953,"corporation":false,"usgs":false,"family":"Renpenning","given":"Julian","email":"","affiliations":[],"preferred":false,"id":686597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geilmann, Heike","contributorId":41303,"corporation":false,"usgs":false,"family":"Geilmann","given":"Heike","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":686598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":686595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kummel, Steffen","contributorId":189954,"corporation":false,"usgs":false,"family":"Kummel","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":686600,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ivdra, Natalija","contributorId":189955,"corporation":false,"usgs":false,"family":"Ivdra","given":"Natalija","email":"","affiliations":[],"preferred":false,"id":686601,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brand, Willi A.","contributorId":33091,"corporation":false,"usgs":false,"family":"Brand","given":"Willi","email":"","middleInitial":"A.","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":686602,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schimmelmann, Arndt","contributorId":140051,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"Arndt","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":686603,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192260,"text":"70192260 - 2017 - Occurrence, temporal variation, and estrogenic burden of five parabens in sewage sludge collected across the United States","interactions":[],"lastModifiedDate":"2021-02-04T15:58:35.912148","indexId":"70192260","displayToPublicDate":"2017-03-27T09:43:44","publicationYear":"2017","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":"Occurrence, temporal variation, and estrogenic burden of five parabens in sewage sludge collected across the United States","docAbstract":"<p><span>Five parabens used as preservatives in&nbsp;pharmaceuticals and personal care products&nbsp;(PPCPs) were measured in&nbsp;sewage sludges&nbsp;collected at 14 U.S.&nbsp;wastewater treatment plants&nbsp;(WWTPs) located in nine states. Detected concentration ranges (ng/g, dry weight) and frequencies were as follows: methyl paraben (15.9 to 203.0; 100%), propyl paraben (0.5 to 7.7; 100%), ethyl paraben (&lt;</span><span>&nbsp;</span><span>0.6 to 2.6; 63%), butyl paraben (&lt;</span><span>&nbsp;</span><span>0.4 to 4.3; 42%) and benzyl paraben (&lt;</span><span>&nbsp;</span><span>0.4 to 3.3; 26%). The estrogenicity inherent to the sum of parabens detected in sewage sludge (ranging from 10.1 to 500.1</span><span>&nbsp;</span><span>pg/kg 17</span><i>β-</i><span>estradiol equivalents) was insignificant when compared to the 10</span><sup>6</sup><span>-times higher value calculated for natural estrogens reported in the literature to occur in sewage sludge. Temporal monitoring at one WWTP provided insights into temporal and seasonal variations in paraben concentrations. This is the first report on the occurrence of five parabens in sewage sludges from across the U.S., and internationally, the first on temporal variations of paraben levels in sewage sludge. Study results will help to inform the risk assessment of sewage sludge destined for land application (biosolids).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.03.162","usgsCitation":"Chen, J., Pycke, B., Brownawell, B.J., Kinney, C.A., Furlong, E.T., Kolpin, D.W., and Halden, R.U., 2017, Occurrence, temporal variation, and estrogenic burden of five parabens in sewage sludge collected across the United States: Science of the Total Environment, v. 593-594, p. 368-374, https://doi.org/10.1016/j.scitotenv.2017.03.162.","productDescription":"7 p.","startPage":"368","endPage":"374","ipdsId":"IP-084795","costCenters":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":469988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5510738","text":"Publisher Index Page"},{"id":382951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Indiana, Florida, Maryland, Montana, New York, Texas, Vermont, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.99414062499999,\n              31.466153715024294\n            ],\n            [\n              -109.1162109375,\n              31.466153715024294\n            ],\n            [\n              -109.1162109375,\n              37.16031654673677\n            ],\n            [\n              -113.99414062499999,\n              37.16031654673677\n            ],\n            [\n              -113.99414062499999,\n              31.466153715024294\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.5830078125,\n              37.996162679728116\n            ],\n            [\n              -84.9462890625,\n              37.996162679728116\n            ],\n            [\n              -84.9462890625,\n              41.80407814427234\n            ],\n            [\n              -87.5830078125,\n              41.80407814427234\n            ],\n            [\n              -87.5830078125,\n              37.996162679728116\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.615966796875,\n              24.397133017391052\n            ],\n            [\n              -79.925537109375,\n              24.397133017391052\n            ],\n            [\n              -79.925537109375,\n              31.005862904624205\n            ],\n            [\n              -87.615966796875,\n              31.005862904624205\n            ],\n            [\n              -87.615966796875,\n              24.397133017391052\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.37857055664061,\n              38.017803980061124\n            ],\n            [\n              -75.15335083007812,\n              38.008066185425335\n            ],\n            [\n              -75.00503540039062,\n              38.453588708941375\n            ],\n            [\n              -75.69030761718749,\n              38.46219172306828\n            ],\n            [\n              -75.7891845703125,\n              39.72197606377427\n            ],\n            [\n              -79.47921752929686,\n              39.71986348549764\n            ],\n            [\n              -79.48333740234375,\n              39.20352640482464\n            ],\n            [\n              -79.17022705078125,\n              39.39375459224348\n            ],\n            [\n              -79.04388427734375,\n              39.48602511162973\n            ],\n            [\n              -78.95187377929688,\n              39.43937483836522\n            ],\n            [\n              -78.782958984375,\n              39.637422462817\n            ],\n            [\n              -78.70880126953125,\n              39.558059470852434\n            ],\n            [\n              -78.46847534179688,\n              39.51887357127223\n            ],\n            [\n              -78.17184448242188,\n              39.69239407904182\n            ],\n            [\n              -77.98919677734375,\n              39.600397716215824\n            ],\n            [\n              -77.83676147460938,\n              39.600397716215824\n            ],\n            [\n              -77.88070678710938,\n              39.54323497544602\n            ],\n            [\n              -77.77359008789062,\n              39.46164364205549\n            ],\n            [\n              -77.73239135742188,\n              39.322612397176876\n            ],\n            [\n              -77.54562377929688,\n              39.29285986803579\n            ],\n            [\n              -77.45086669921875,\n              39.22055107521368\n            ],\n            [\n              -77.50991821289062,\n              39.137516828427074\n            ],\n            [\n              -77.28607177734375,\n              39.0351862510659\n            ],\n            [\n              -77.08419799804688,\n              38.90385833966778\n            ],\n            [\n              -77.01141357421875,\n              38.86965182408357\n            ],\n            [\n              -77.0196533203125,\n              38.725161847874716\n            ],\n            [\n              -77.10891723632812,\n              38.67264490154078\n            ],\n            [\n              -77.19955444335938,\n              38.58789354020368\n            ],\n            [\n              -77.2943115234375,\n              38.47401919222663\n            ],\n            [\n              -77.21328735351562,\n              38.348118547988065\n            ],\n            [\n              -77.02651977539062,\n              38.4428334985915\n            ],\n            [\n              -76.98532104492188,\n              38.35350340353833\n            ],\n            [\n              -76.83013916015625,\n              38.23386541556985\n            ],\n            [\n              -76.58432006835938,\n              38.176671418717746\n            ],\n            [\n              -76.35635375976562,\n              38.04484662140698\n            ],\n            [\n              -76.02676391601562,\n              38.00049145082287\n            ],\n            [\n              -75.87570190429688,\n              37.96152331396614\n            ],\n            [\n              -75.6298828125,\n              37.982092409208875\n            ],\n            [\n              -75.3717041015625,\n              38.019967758742766\n            ],\n            [\n              -75.37857055664061,\n              38.017803980061124\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.103515625,\n              44.59046718130883\n            ],\n            [\n              -103.88671875,\n              44.59046718130883\n            ],\n            [\n              -103.88671875,\n              49.03786794532644\n            ],\n            [\n              -116.103515625,\n              49.03786794532644\n            ],\n            [\n              -116.103515625,\n              44.59046718130883\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.1640625,\n              41.705728515237524\n            ],\n            [\n              -86.66015624999999,\n              41.705728515237524\n            ],\n            [\n              -86.66015624999999,\n              46.800059446787316\n            ],\n            [\n              -93.1640625,\n              46.800059446787316\n            ],\n            [\n              -93.1640625,\n              41.705728515237524\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.779296875,\n              29.916852233070173\n            ],\n            [\n              -93.42773437499999,\n              31.80289258670676\n            ],\n            [\n              -94.306640625,\n              33.797408767572485\n            ],\n            [\n              -99.931640625,\n              34.59704151614417\n            ],\n            [\n              -100.283203125,\n              36.4566360115962\n            ],\n            [\n              -103.18359375,\n              36.59788913307022\n            ],\n            [\n              -103.0078125,\n              32.24997445586331\n            ],\n            [\n              -106.61132812499999,\n              32.02670629333614\n            ],\n            [\n              -105.1171875,\n              30.600093873550072\n            ],\n            [\n              -103.271484375,\n              29.22889003019423\n            ],\n            [\n              -102.041015625,\n              29.76437737516313\n            ],\n            [\n              -100.37109375,\n              28.613459424004414\n            ],\n            [\n              -99.052734375,\n              26.667095801104814\n            ],\n            [\n              -97.20703125,\n              25.64152637306577\n            ],\n            [\n              -93.779296875,\n              29.916852233070173\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.014892578125,\n              40.551374198715166\n            ],\n            [\n              -72.26806640624999,\n              40.730608477796636\n            ],\n            [\n              -71.7242431640625,\n              41.08763212467916\n            ],\n            [\n              -72.279052734375,\n              41.21172151054787\n            ],\n            [\n              -73.685302734375,\n              40.97160353279909\n            ],\n            [\n              -73.54248046875,\n              41.20345619205131\n            ],\n            [\n              -73.38317871093749,\n              42.39506551565123\n            ],\n            [\n              -73.2952880859375,\n              42.783307077249624\n            ],\n            [\n              -73.2513427734375,\n              43.54854811091286\n            ],\n            [\n              -73.2183837890625,\n              45.01918507438176\n            ],\n            [\n              -74.8223876953125,\n              45.01530198999212\n            ],\n            [\n              -76.5087890625,\n              44.11125397357155\n            ],\n            [\n              -76.5252685546875,\n              43.560491112629286\n            ],\n            [\n              -77.6678466796875,\n              43.42100882994726\n            ],\n            [\n              -79.0960693359375,\n              43.329173667843904\n            ],\n            [\n              -78.9862060546875,\n              42.956422511073335\n            ],\n            [\n              -78.85986328125,\n              42.779275360241904\n            ],\n            [\n              -79.7772216796875,\n              42.30575300304638\n            ],\n            [\n              -79.7607421875,\n              42.004407212963585\n            ],\n            [\n              -75.3826904296875,\n              42.004407212963585\n            ],\n            [\n              -75.0970458984375,\n              41.78360106648078\n            ],\n            [\n              -74.9212646484375,\n              41.47977575214487\n            ],\n            [\n              -73.85009765625,\n              40.98197154086656\n            ],\n            [\n              -74.036865234375,\n              40.73893324113601\n            ],\n            [\n              -74.014892578125,\n              40.551374198715166\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.32275390625,\n              42.53689200787315\n            ],\n            [\n              -71.96044921875,\n              42.53689200787315\n            ],\n            [\n              -71.96044921875,\n              44.98034238084973\n            ],\n            [\n              -73.32275390625,\n              44.98034238084973\n            ],\n            [\n              -73.32275390625,\n              42.53689200787315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"593-594","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Jing","contributorId":192654,"corporation":false,"usgs":false,"family":"Chen","given":"Jing","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":715042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pycke, Benny F. G.","contributorId":198084,"corporation":false,"usgs":false,"family":"Pycke","given":"Benny F. G.","affiliations":[],"preferred":false,"id":715043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownawell, Bruce J.","contributorId":198085,"corporation":false,"usgs":false,"family":"Brownawell","given":"Bruce","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinney, Chad A.","contributorId":198086,"corporation":false,"usgs":false,"family":"Kinney","given":"Chad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715045,"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":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":715041,"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":715046,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Halden, Rolf U.","contributorId":198087,"corporation":false,"usgs":false,"family":"Halden","given":"Rolf","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":715047,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70185689,"text":"70185689 - 2017 - Acute sensitivity of a broad range of freshwater mussels to chemicals with different modes of toxic action","interactions":[],"lastModifiedDate":"2017-03-27T16:11:22","indexId":"70185689","displayToPublicDate":"2017-03-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute sensitivity of a broad range of freshwater mussels to chemicals with different modes of toxic action","docAbstract":"<p><span>Freshwater mussels, one of the most imperiled groups of animals in the world, are generally underrepresented in toxicity databases used for the development of ambient water quality criteria and other environmental guidance values. Acute 96-h toxicity tests were conducted to evaluate the sensitivity of 5 species of juvenile mussels from 2 families and 4 tribes to 10 chemicals (ammonia, metals, major ions, and organic compounds) and to screen 10 additional chemicals (mainly organic compounds) with a commonly tested mussel species, fatmucket (</span><i>Lampsilis siliquoidea</i><span>). In the multi-species study, median effect concentrations (EC50s) among the 5 species differed by a factor of ≤2 for chloride, potassium, sulfate, and zinc; a factor of ≤5 for ammonia, chromium, copper, and nickel; and factors of 6 and 12 for metolachlor and alachlor, respectively, indicating that mussels representing different families or tribes had similar sensitivity to most of the tested chemicals, regardless of modes of action. There was a strong linear relationship between EC50s for fatmucket and the other 4 mussel species across the 10 chemicals (</span><i>r</i><sup>2</sup><span> = 0.97, slope close to 1.0), indicating that fatmucket was similar to other mussel species; thus, this commonly tested species can be a good surrogate for protecting other mussels in acute exposures. The sensitivity of juvenile fatmucket among different populations or cultured from larvae of wild adults and captive-cultured adults was also similar in acute exposures to copper or chloride, indicating captive-cultured adult mussels can reliably be used to reproduce juveniles for toxicity testing. In compiled databases for all freshwater species, 1 or more mussel species were among the 4 most sensitive species for alachlor, ammonia, chloride, potassium, sulfate, copper, nickel, and zinc; therefore, the development of water quality criteria and other environmental guidance values for these chemicals should reflect the sensitivity of mussels. In contrast, the EC50s of fatmucket tested in the single-species study were in the high percentiles (&gt;75th) of species sensitivity distributions for 6 of 7 organic chemicals, indicating mussels might be relatively insensitive to organic chemicals in acute exposures. </span></p>","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3642","usgsCitation":"Wang, N., Ivey, C.D., Ingersoll, C.G., Brumbaugh, W.G., Alvarez, D., Hammer, E.J., Bauer, C.R., Augspurger, T., Raimondo, S., and Barnhart, M., 2017, Acute sensitivity of a broad range of freshwater mussels to chemicals with different modes of toxic action: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 786-796, https://doi.org/10.1002/etc.3642.","productDescription":"11 p.","startPage":"786","endPage":"796","ipdsId":"IP-077267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469990,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8220997","text":"External Repository"},{"id":338421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"58da2517e4b0543bf7fda7ec","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":686407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":686408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Augspurger, Tom","contributorId":189894,"corporation":false,"usgs":false,"family":"Augspurger","given":"Tom","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":686409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raimondo, Sandy","contributorId":150748,"corporation":false,"usgs":false,"family":"Raimondo","given":"Sandy","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":686410,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnhart, M.Christopher","contributorId":189895,"corporation":false,"usgs":false,"family":"Barnhart","given":"M.Christopher","affiliations":[],"preferred":false,"id":686411,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70190161,"text":"70190161 - 2017 - Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources","interactions":[],"lastModifiedDate":"2017-11-22T17:00:39","indexId":"70190161","displayToPublicDate":"2017-03-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources","docAbstract":"<p><span>Climate change can have a broad range of effects on ecosystems and organisms, and early responses may include shifts in vegetation phenology and productivity that may not coincide with the energetics and forage timing of higher trophic levels. We evaluated phenology, annual height growth, and foliar frost responses of forbs to a factorial experiment of snow removal (SR) and warming in a high-elevation meadow over two years in the Rocky Mountains, United States. Species included arrowleaf balsamroot (</span><i>Balsamorhiza sagittata</i><span>, early-season emergence and flowering) and buckwheat (</span><i>Eriogonum umbellatum,</i><span><span>&nbsp;</span>semi-woody and late-season flowering), key forbs for pollinator and nectar-using animal communities that are widely distributed and locally abundant in western North America. Snow removal exerted stronger effects than did warming, and advanced phenology differently for each species. Specifically, SR advanced green-up by a few days for<span>&nbsp;</span></span><i>B.&nbsp;sagittata</i><span><span>&nbsp;</span>to &gt;2&nbsp;wk in<span>&nbsp;</span></span><i>E.&nbsp;umbellatum</i><span>, and led to 5- to 11-d advances in flowering of<span>&nbsp;</span></span><i>B.&nbsp;sagittata</i><span><span>&nbsp;</span>in one year and advances in bud break in 3 of 4 species/yr combinations. Snow removal increased height of<span>&nbsp;</span></span><i>E.&nbsp;umbellatum</i><span><span>&nbsp;</span>appreciably (~5&nbsp;cm added to ~22.8&nbsp;cm in control), but led to substantial increases in frost damage to flowers of<span>&nbsp;</span></span><i>B.&nbsp;sagittata</i><span>. Whereas warming had no effects on<span>&nbsp;</span></span><i>E.&nbsp;umbellatum</i><span>, it increased heights of<span>&nbsp;</span></span><i>B.&nbsp;sagittata</i><span><span>&nbsp;</span>by &gt;6&nbsp;cm (compared to 30.7&nbsp;cm in control plots) and moreover led to appreciable reductions in frost damage to flowers. These data suggest that timing of snowmelt, which is highly variable from year to year but is advancing in recent decades, has a greater impact on these critical phenological, growth, and floral survival traits and floral/nectar resources than warming per se, although warming mitigated early effects of SR on frost kill of flowers. Given the short growing season of these species, the shifts could cause uncoupling in nectar availability and timing of foraging.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1745","usgsCitation":"Sherwood, J., Debinski, D., Caragea, P., and Germino, M., 2017, Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources: Ecosphere, v. 8, no. 3, Article e01745: 13 p., https://doi.org/10.1002/ecs2.1745.","productDescription":"Article e01745: 13 p.","ipdsId":"IP-086158","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1745","text":"Publisher Index Page"},{"id":344848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"59b76f2ae4b08b1644ddfaee","contributors":{"authors":[{"text":"Sherwood, J.A.","contributorId":195639,"corporation":false,"usgs":false,"family":"Sherwood","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":707751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Debinski, D.M.","contributorId":195640,"corporation":false,"usgs":false,"family":"Debinski","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":707752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caragea, P.C.","contributorId":195641,"corporation":false,"usgs":false,"family":"Caragea","given":"P.C.","affiliations":[],"preferred":false,"id":707753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":707750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259370,"text":"70259370 - 2017 - Eruptive history of the Ubehebe Crater Cluster, Death Valley, California","interactions":[],"lastModifiedDate":"2024-10-04T14:21:56.009842","indexId":"70259370","displayToPublicDate":"2017-03-20T09:13:53","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Eruptive history of the Ubehebe Crater Cluster, Death Valley, California","docAbstract":"<p><span>A sequence of late&nbsp;Holocene&nbsp;eruptions from the Ubehebe Crater cluster in Death Valley was short-lived, emplacing several phreatomagmatic and magmatic deposits. Seven craters form the main group, which erupted along a north-south alignment 1.5</span><span>&nbsp;</span><span>km long. At least five more make a 500-m east-west alignment west of the main crater group. One more is an isolated shallow crater ~</span><span>&nbsp;</span><span>400</span><span>&nbsp;</span><span>m south of that alignment. All erupted through&nbsp;Miocene&nbsp;fanglomerate and sandstone, which are now distributed as comminuted matrix and lithic clasts in all Ubehebe deposits. Stratigraphic evidence showing that all Ubehebe strata were emplaced within a short time interval includes: (1) deposits from the many Ubehebe vents make a multi-package sequence that conformably drapes paleo-basement topography with no erosive gullying between emplacement units; (2) several crater rims that formed early in the eruptive sequence are draped smoothly by subsequent deposits; and (3) tack-welded to agglutinated spatter and bombs that erupted at various times through the sequence remained hot enough to oxidize the overlying youngest emplacement package. In addition, all deposits sufficiently consolidated to be drilled yield reliable paleomagnetic directions, with site mean directions showing no evidence of geomagnetic secular variation. Chemical analyses of juvenile components representing every eruptive package yield a narrow range in major elements [SiO</span><sub>2</sub><span>&nbsp;(48.65–50.11); MgO (4.98–6.23); K</span><sub>2</sub><span>O (2.24–2.39)] and trace elements [Rb (28–33); Sr (1513–1588); Zr (373–404)]. Despite lithologic similarities, individual fall units can be traced outward from vent by recording layer thicknesses, maximum scoria and lithic sizes, and juvenile clast textural variations. This permits reconstruction of the eruptive sequence, which produced a variety of eruptive styles. The largest and northernmost of the craters, Ubehebe Crater, is the youngest of the group. Its largely phreatomagmatic deposits drape all of the others, thicken in paleogullies and thin over several newly created crater rims. Evidence in-hand virtually requires that the Ubehebe cluster of craters erupted over a brief time interval, not protracted over centuries.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.02.010","usgsCitation":"Fierstein, J., and Hildreth, W., 2017, Eruptive history of the Ubehebe Crater Cluster, Death Valley, California: Journal of Volcanology and Geothermal Research, v. 335, p. 128-146, https://doi.org/10.1016/j.jvolgeores.2017.02.010.","productDescription":"19 p.","startPage":"128","endPage":"146","ipdsId":"IP-078749","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.02.010","text":"Publisher Index Page"},{"id":462597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Death Valley, Ubehebe Crater cluster","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.47952287843592,\n              37.02483016348354\n            ],\n            [\n              -117.47952287843592,\n              36.99064923585267\n            ],\n            [\n              -117.43323940055313,\n              36.99064923585267\n            ],\n            [\n              -117.43323940055313,\n              37.02483016348354\n            ],\n            [\n              -117.47952287843592,\n              37.02483016348354\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"335","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fierstein, Judith E. 0000-0001-8024-1426","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":329988,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185270,"text":"70185270 - 2017 - Body mass, wing length, and condition of wintering ducks relative to hematozoa infection","interactions":[],"lastModifiedDate":"2018-07-15T18:32:43","indexId":"70185270","displayToPublicDate":"2017-03-20T00:00:00","publicationYear":"2017","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":"Body mass, wing length, and condition of wintering ducks relative to hematozoa infection","docAbstract":"<p><span>Waterfowl managers lack information regarding factors that may be reducing the positive response of waterfowl body condition to habitat improvements. Protozoan blood parasites (i.e., hematozoa) are commonly found in birds and have been related to reduced body mass, wing length, and body condition. We studied relationships between 12 measures of hematozoa infection and body mass, wing length, and body mass divided by wing length (i.e., body condition index [BCI]) of the five most common duck species (northern pintail [<i>Anas acuta</i>], mallard [<i>A. platyrhynchos</i>], green-winged teal [<i>A. crecca</i>], American wigeon [<i>A. Americana</i>], northern shoveler [<i>A. clypeata</i>]) wintering in the Central Valley of California during October 2006-January 2007. After accounting for variation due to species, age-sex cohort, Central Valley region, and month; wing length, body mass, and BCI were found to be negatively related to infection by <i>Leucocytozoon</i> and by \"any hematozoa\" but not related to infection by only <i>Plasmodium</i> or <i>Haemoproteus</i>, or coinfections of greater than one genera or parasite haplotype (albeit, few ducks had <i>Plasmodium</i> or <i>Haemoproteus</i> infection or coinfections). Evidence of a negative relationship with infection was stronger for body mass and BCI than for wing length and indicated that the relationships varied among species, age-sex cohorts, regions, and months. Compared to uninfected ducks, hematozoa-infected duck body mass, wing length, and BCI was -1.63% (85% CI = -2.79%- -0.47%), -0.12% (-0.41%- +0.17%), and -1.38% (-2.49%- -0.26%), respectively. Although, seemingly small, the -1.63% difference in body mass represents a large percentage (e.g., 38% for northern pintail) of the observed increase in wintering duck body mass associated with Central Valley habitat improvements. Because infection prevalence and relationship to body condition might change over time due to climate or other factors, tracking hematozoa infection prevalence might be important to inform and accurately assess the effect of conservation programs designed to improve waterfowl body condition.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/082016-JFWM-063","usgsCitation":"Fleskes, J.P., Ramey, A.M., Reeves, A.B., and Yee, J.L., 2017, Body mass, wing length, and condition of wintering ducks relative to hematozoa infection: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 89-100, https://doi.org/10.3996/082016-JFWM-063.","productDescription":"12 p.","startPage":"89","endPage":"100","ipdsId":"IP-079106","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082016-jfwm-063","text":"Publisher Index Page"},{"id":337834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.84912109375,\n              34.75966612466248\n            ],\n            [\n              -118.01513671875,\n              34.75966612466248\n            ],\n            [\n              -118.01513671875,\n              40.613952441166596\n            ],\n            [\n              -122.84912109375,\n              40.613952441166596\n            ],\n            [\n              -122.84912109375,\n              34.75966612466248\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"58d0ea1ae4b0236b68f67367","contributors":{"authors":[{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185000,"text":"70185000 - 2017 - Vertebrate paleontology, stratigraphy, and paleohydrology of Tule Springs Fossil Beds National Monument, Nevada (USA)","interactions":[],"lastModifiedDate":"2020-12-16T17:03:22.159494","indexId":"70185000","displayToPublicDate":"2017-03-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5321,"text":"Geology of the Intermountain West  ","active":true,"publicationSubtype":{"id":10}},"title":"Vertebrate paleontology, stratigraphy, and paleohydrology of Tule Springs Fossil Beds National Monument, Nevada (USA)","docAbstract":"<p>Tule Springs Fossil Beds National Monument (TUSK) preserves 22,650 acres of the upper Las Vegas Wash in the northern Las Vegas Valley (Nevada, USA). TUSK is home to extensive and stratigraphically complex groundwater discharge (GWD) deposits, called the Las Vegas Formation, which represent springs and desert wetlands that covered much of the valley during the late Quaternary. The GWD deposits record hydrologic changes that occurred here in a dynamic and temporally congruent response to abrupt climatic oscillations over the last ~300 ka (thousands of years). The deposits also entomb the Tule Springs Local Fauna (TSLF), one of the most significant late Pleistocene (Rancholabrean) vertebrate assemblages in the American Southwest. The TSLF is both prolific and diverse, and includes a large mammal assemblage dominated by Mammuthus columbi and Camelops hesternus. Two (and possibly three) distinct species of Equus, two species of Bison, Panthera atrox, Smilodon fatalis, Canis dirus, Megalonyx jeffersonii, and Nothrotheriops shastensis are also present, and newly recognized faunal components include micromammals, amphibians, snakes, and birds. Invertebrates, plant macrofossils, and pollen also occur in the deposits and provide important and complementary paleoenvironmental information. This field compendium highlights the faunal assemblage in the classic stratigraphic sequences of the Las Vegas Formation within TUSK, emphasizes the significant hydrologic changes that occurred in the area during the recent geologic past, and examines the subsequent and repeated effect of rapid climate change on the local desert wetland ecosystem.<br></p>","language":"English","publisher":"Utah Geological Association","doi":"10.31711/giw.v4.pp55-98","usgsCitation":"Springer, K.B., Pigati, J., and Scott, E., 2017, Vertebrate paleontology, stratigraphy, and paleohydrology of Tule Springs Fossil Beds National Monument, Nevada (USA): Geology of the Intermountain West  , v. 4, p. 55-98, https://doi.org/10.31711/giw.v4.pp55-98.","productDescription":"44 p.","startPage":"55","endPage":"98","ipdsId":"IP-077796","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31711/giw.v4.pp55-98","text":"Publisher Index Page"},{"id":337701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Tule Springs Fossil Beds National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.42167663574217,\n              36.25313319699069\n            ],\n            [\n              -115.02891540527344,\n              36.25313319699069\n            ],\n            [\n              -115.02891540527344,\n              36.4223874864237\n            ],\n            [\n              -115.42167663574217,\n              36.4223874864237\n            ],\n            [\n              -115.42167663574217,\n              36.25313319699069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc734","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":683888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":140289,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":683889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":683890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184968,"text":"70184968 - 2017 - Citizen science can improve conservation science, natural resource management, and environmental protection","interactions":[],"lastModifiedDate":"2017-07-12T15:31:14","indexId":"70184968","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Citizen science can improve conservation science, natural resource management, and environmental protection","docAbstract":"<p id=\"sp0030\">Citizen science has advanced science for hundreds of years, contributed to many peer-reviewed articles, and informed land management decisions and policies across the United States. Over the last 10&nbsp;years, citizen science has grown immensely in the United States and many other countries. Here, we show how citizen science is a powerful tool for tackling many of the challenges faced in the field of conservation biology. We describe the two interwoven paths by which citizen science can improve conservation efforts, natural resource management, and environmental protection. The first path includes building scientific knowledge, while the other path involves informing policy and encouraging public action. We explore how citizen science is currently used and describe the investments needed to create a citizen science program. We find that:</p><dl id=\"list_l0005\" class=\"listitem\"><ol><li>Citizen science already contributes substantially to many domains of science, including conservation, natural resource, and environmental science. Citizen science informs natural resource management, environmental protection, and policymaking and fosters public input and engagement.</li><li>Many types of projects can benefit from citizen science, but one must be careful to match the needs for science and public involvement with the right type of citizen science project and the right method of public participation.</li><li>Citizen science is a rigorous process of scientific discovery, indistinguishable from conventional science apart from the participation of volunteers. When properly designed, carried out, and evaluated, citizen science can provide sound science, efficiently generate high-quality data, and help solve problems.</li></ol></dl>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.05.015","usgsCitation":"McKinley, D.C., Miller-Rushing, A.J., Ballard, H.L., Bonney, R., Brown, H., Cook-Patton, S.C., Evans, D.M., French, R.A., Parrish, J., Phillips, T.B., Ryan, S.F., Shanley, L.A., Shirk, J.L., Stepenuck, K.F., Weltzin, J.F., Wiggins, A., Boyle, O.D., Briggs, R.D., Chapin, S.F., Hewitt, D.A., Preuss, P.W., and Soukup, M.A., 2017, Citizen science can improve conservation science, natural resource management, and environmental protection: Biological Conservation, v. 208, p. 15-28, https://doi.org/10.1016/j.biocon.2016.05.015.","productDescription":"14 p.","startPage":"15","endPage":"28","ipdsId":"IP-068708","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2016.05.015","text":"Publisher Index Page"},{"id":337611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c9e4b0849ce97c868c","contributors":{"authors":[{"text":"McKinley, Duncan C.","contributorId":149649,"corporation":false,"usgs":false,"family":"McKinley","given":"Duncan","email":"","middleInitial":"C.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":683748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller-Rushing, Abe J.","contributorId":189062,"corporation":false,"usgs":false,"family":"Miller-Rushing","given":"Abe","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballard, Heidi L.","contributorId":149651,"corporation":false,"usgs":false,"family":"Ballard","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":683750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonney, Rick","contributorId":112611,"corporation":false,"usgs":false,"family":"Bonney","given":"Rick","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":683751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Hutch","contributorId":149653,"corporation":false,"usgs":false,"family":"Brown","given":"Hutch","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":683752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook-Patton, Susan C.","contributorId":189063,"corporation":false,"usgs":false,"family":"Cook-Patton","given":"Susan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":683753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Daniel M.","contributorId":149654,"corporation":false,"usgs":false,"family":"Evans","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":17680,"text":"AAAS Science & Technology Policy Fellow/NASA","active":true,"usgs":false}],"preferred":false,"id":683754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"French, Rebecca A.","contributorId":149655,"corporation":false,"usgs":false,"family":"French","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":683768,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parrish, Julia","contributorId":189064,"corporation":false,"usgs":false,"family":"Parrish","given":"Julia","affiliations":[],"preferred":false,"id":683755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Phillips, Tina B.","contributorId":149656,"corporation":false,"usgs":false,"family":"Phillips","given":"Tina","email":"","middleInitial":"B.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":683756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ryan, Sean F.","contributorId":149657,"corporation":false,"usgs":false,"family":"Ryan","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":683757,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shanley, Lea A.","contributorId":149658,"corporation":false,"usgs":false,"family":"Shanley","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":17773,"text":"Wilson Center","active":true,"usgs":false}],"preferred":false,"id":683758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shirk, Jennifer L.","contributorId":149659,"corporation":false,"usgs":false,"family":"Shirk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":683759,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stepenuck, Kristine F.","contributorId":149660,"corporation":false,"usgs":false,"family":"Stepenuck","given":"Kristine","email":"","middleInitial":"F.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":683760,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weltzin, Jake F. 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":189061,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","middleInitial":"F.","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":683747,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wiggins, Andrea","contributorId":149661,"corporation":false,"usgs":false,"family":"Wiggins","given":"Andrea","email":"","affiliations":[{"id":17774,"text":"U New Mexico","active":true,"usgs":false}],"preferred":false,"id":683761,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Boyle, Owen D.","contributorId":149662,"corporation":false,"usgs":false,"family":"Boyle","given":"Owen","email":"","middleInitial":"D.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":683762,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Briggs, Russell D.","contributorId":149663,"corporation":false,"usgs":false,"family":"Briggs","given":"Russell","email":"","middleInitial":"D.","affiliations":[{"id":6650,"text":"SUNY - Brockport","active":true,"usgs":false}],"preferred":false,"id":683763,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Chapin, Stuart F. III","contributorId":189065,"corporation":false,"usgs":false,"family":"Chapin","given":"Stuart","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683764,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hewitt, David A.","contributorId":189066,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683765,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Preuss, Peter W.","contributorId":149665,"corporation":false,"usgs":false,"family":"Preuss","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":683766,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Soukup, Michael A.","contributorId":149666,"corporation":false,"usgs":false,"family":"Soukup","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":683767,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70184975,"text":"70184975 - 2017 - Local biotic adaptation of trees and shrubs to plant neighbors","interactions":[],"lastModifiedDate":"2017-04-04T10:02:07","indexId":"70184975","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Local biotic adaptation of trees and shrubs to plant neighbors","docAbstract":"<p><span>Natural selection as a result of plant–plant interactions can lead to local biotic adaptation. This may occur where species frequently interact and compete intensely for resources limiting growth, survival, and reproduction. Selection is demonstrated by comparing a genotype interacting with con- or hetero-specific sympatric neighbor genotypes with a shared site-level history (derived from the same source location), to the same genotype interacting with foreign neighbor genotypes (from different sources). Better genotype performance in sympatric than allopatric neighborhoods provides evidence of local biotic adaptation. This pattern might be explained by selection to avoid competition by shifting resource niches (differentiation) or by interactions benefitting one or more members (facilitation). We tested for local biotic adaptation among two riparian trees, </span><i>Populus fremontii</i><span> and </span><i>Salix gooddingii</i><span>, and the shrub </span><i>Salix exigua</i><span> by transplanting replicated genotypes from multiple source locations to a 17 000 tree common garden with sympatric and allopatric treatments along the Colorado River in California. Three major patterns were observed: 1) across species, 62 of 88 genotypes grew faster with sympatric neighbors than allopatric neighbors; 2) these growth rates, on an individual tree basis, were 44, 15 and 33% higher in sympatric than allopatric treatments for </span><i>P. fremontii, S. exigua</i><span> and </span><i>S. gooddingii</i><span>, respectively, and; 3) survivorship was higher in sympatric treatments for </span><i>P. fremontii</i><span>and </span><i>S. exigua</i><span>. These results support the view that fitness of foundation species supporting diverse communities and dominating ecosystem processes is determined by adaptive interactions among multiple plant species with the outcome that performance depends on the genetic identity of plant neighbors. The occurrence of evolution in a plant-community context for trees and shrubs builds on ecological evolutionary research that has demonstrated co-evolution among herbaceous taxa, and evolution of native species during exotic plants invasion, and taken together, refutes the concept that plant communities are always random associations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.03240","usgsCitation":"Grady, K.C., Wood, T.E., Kolb, T.E., Hersch-Green, E., Shuster, S.M., Gehring, C.A., Hart, S.C., Allan, G.J., and Whitham, T.G., 2017, Local biotic adaptation of trees and shrubs to plant neighbors: Oikos, v. 126, no. 4, p. 583-593, https://doi.org/10.1111/oik.03240.","productDescription":"11 p.","startPage":"583","endPage":"593","ipdsId":"IP-060158","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/59p2b4xv","text":"External Repository"},{"id":337546,"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              -115.850830078125,\n              30.95876857077987\n            ],\n            [\n              -110.247802734375,\n              30.95876857077987\n            ],\n            [\n              -110.247802734375,\n              35.41591492345623\n            ],\n            [\n              -115.850830078125,\n              35.41591492345623\n            ],\n            [\n              -115.850830078125,\n              30.95876857077987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-05","publicationStatus":"PW","scienceBaseUri":"58c90123e4b0849ce97abcb0","contributors":{"authors":[{"text":"Grady, Kevin C.","contributorId":174325,"corporation":false,"usgs":false,"family":"Grady","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":27415,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":683789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":683788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolb, Thomas E.","contributorId":189073,"corporation":false,"usgs":false,"family":"Kolb","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hersch-Green, Erika","contributorId":189077,"corporation":false,"usgs":false,"family":"Hersch-Green","given":"Erika","email":"","affiliations":[],"preferred":false,"id":683796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shuster, Stephen M.","contributorId":174326,"corporation":false,"usgs":false,"family":"Shuster","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":683791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gehring, Catherine A.","contributorId":189076,"corporation":false,"usgs":false,"family":"Gehring","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Stephen C.","contributorId":189074,"corporation":false,"usgs":false,"family":"Hart","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":683792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allan, Gerard J.","contributorId":189075,"corporation":false,"usgs":false,"family":"Allan","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":683795,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70184964,"text":"70184964 - 2017 - Relationships between maternal engorgement weight and the number, size, and fat content of larval <i>Ixodes scapularis</i> (Acari: Ixodidae)","interactions":[],"lastModifiedDate":"2017-05-31T16:29:08","indexId":"70184964","displayToPublicDate":"2017-03-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between maternal engorgement weight and the number, size, and fat content of larval <i>Ixodes scapularis</i> (Acari: Ixodidae)","docAbstract":"<p><span>The relationship between engorgement weight of female </span><i>Ixodes scapularis</i><span> Say and characteristics of offspring was studied using field-collected females fed on rabbits in the laboratory. The number of eggs laid was positively related to maternal engorgement weight in one trial, and larval size (estimated by scutal area) was positively related to maternal engorgement weight in the other. These results suggest a trade-off in number of eggs produced versus average size of offspring, possibly determined during late engorgement. The adults for the two trials were collected from different sites in southern Rhode Island and in different seasons (the fall adults were newly emerged, while the spring adults had presumably lived through the winter), so it is not clear whether these results reflect genetic differences or subtle environmental differences between trials. Percent egg hatch and average fat content of larvae were not related to female engorgement weight. We present a modified method to measure lipid content of pooled larval ticks.</span></p>","language":"English","publisher":"Bernice Pauahi Bishop Museum","publisherLocation":"Honolulu, HI","doi":"10.1093/jme/tjw191","usgsCitation":"Ginsberg, H., Lee, C., Volson, B., Dyer, M.C., and LeBrun, R.A., 2017, Relationships between maternal engorgement weight and the number, size, and fat content of larval <i>Ixodes scapularis</i> (Acari: Ixodidae): Journal of Medical Entomology, v. 54, no. 2, p. 275-280, https://doi.org/10.1093/jme/tjw191.","productDescription":"6 p.","startPage":"275","endPage":"280","ipdsId":"IP-074914","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jme/tjw191","text":"Publisher Index Page"},{"id":337414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-27","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e70","contributors":{"authors":[{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":683720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Chong","contributorId":189052,"corporation":false,"usgs":false,"family":"Lee","given":"Chong","email":"","affiliations":[],"preferred":false,"id":683721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Volson, Barry","contributorId":189053,"corporation":false,"usgs":false,"family":"Volson","given":"Barry","email":"","affiliations":[],"preferred":false,"id":683722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dyer, Megan C.","contributorId":178309,"corporation":false,"usgs":false,"family":"Dyer","given":"Megan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":683723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBrun, Roger A.","contributorId":70907,"corporation":false,"usgs":false,"family":"LeBrun","given":"Roger","email":"","middleInitial":"A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":683724,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185003,"text":"70185003 - 2017 - Territory occupancy and breeding success of Peregrine Falcons <i>Falco peregrinus</i> at various stages of population recovery","interactions":[],"lastModifiedDate":"2017-03-13T13:43:38","indexId":"70185003","displayToPublicDate":"2017-03-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Territory occupancy and breeding success of Peregrine Falcons <i>Falco peregrinus</i> at various stages of population recovery","docAbstract":"<p><span>Organochlorine pesticides disrupted reproduction and killed many raptorial birds, and contributed to population declines during the 1940s to 1970s. We sought to discern whether and to what extent territory occupancy and breeding success changed from the pesticide era to recent years in a resident population of Peregrine Falcons </span><i>Falco peregrinus</i><span> in southern Scotland using long-term (1964–2015) field data and multi-state, multi-season occupancy models. Peregrine territories that were occupied with successful reproduction in one&nbsp;year were much more likely to be occupied and experience reproductive success in the following year, compared with those that were unoccupied or occupied by unsuccessful breeders in the previous year. Probability of territory occupancy differed between territories in the eastern and western parts of the study area, and varied over time. The probability of occupancy of territories that were unoccupied and those that were occupied with successful reproduction during the previous breeding season generally increased over time, whereas the probability of occupancy of territories that were occupied after failed reproduction decreased. The probability of reproductive success (conditional on occupancy) in territories that were occupied during the previous breeding season increased over time. Specifically, for territories that had been successful in the previous year, the probability of occupancy as well as reproductive success increased steadily over time; these probabilities were substantially higher in recent years than earlier, when the population was still exposed to direct or residual effects of organochlorine pesticides. These results are consistent with the hypothesis that progressive reduction, followed by a complete ban, in the use of organochlorine pesticides improved reproductive success of Peregrines in southern Scotland. Differences in the temporal pattern of probability of reproductive success between south-eastern and south-western Scotland suggest that the effect of organochlorine pesticides on Peregrine reproductive success and/or the recovery from pesticide effects varied geographically and was possibly affected by other factors such as persecution.</span></p>","language":"English","publisher":"Ibis Society","publisherLocation":"London","doi":"10.1111/ibi.12443","usgsCitation":"McGrady, M.J., Hines, J.E., Rollie, C., Smith, G.D., Morton, E.R., Moore, J.F., Mearns, R.M., Newton, I., Murillo-Garcia, O.E., and Oli, M.K., 2017, Territory occupancy and breeding success of Peregrine Falcons <i>Falco peregrinus</i> at various stages of population recovery: Ibis, v. 159, no. 2, p. 285-296, https://doi.org/10.1111/ibi.12443.","productDescription":"12 p.","startPage":"285","endPage":"296","ipdsId":"IP-077722","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470018,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ibi.12443","text":"External Repository"},{"id":337439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-02","publicationStatus":"PW","scienceBaseUri":"58c7af95e4b0849ce9795e68","contributors":{"authors":[{"text":"McGrady, Michael J.","contributorId":189117,"corporation":false,"usgs":false,"family":"McGrady","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":683895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollie, Chris","contributorId":189118,"corporation":false,"usgs":false,"family":"Rollie","given":"Chris","email":"","affiliations":[],"preferred":false,"id":683935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, George D.","contributorId":189119,"corporation":false,"usgs":false,"family":"Smith","given":"George","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":683936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morton, Elise R.","contributorId":189121,"corporation":false,"usgs":false,"family":"Morton","given":"Elise","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":683937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Jennifer F.","contributorId":189122,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mearns, Richard M.","contributorId":189123,"corporation":false,"usgs":false,"family":"Mearns","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":683939,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newton, Ian","contributorId":111901,"corporation":false,"usgs":true,"family":"Newton","given":"Ian","email":"","affiliations":[],"preferred":false,"id":683903,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murillo-Garcia, Oscar E.","contributorId":189120,"corporation":false,"usgs":false,"family":"Murillo-Garcia","given":"Oscar","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683940,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oli, Madan K.","contributorId":86089,"corporation":false,"usgs":true,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":683904,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70184448,"text":"70184448 - 2017 - Structured decision making as a conservation tool for recovery planning of two endangered salamanders","interactions":[],"lastModifiedDate":"2017-04-04T09:34:55","indexId":"70184448","displayToPublicDate":"2017-03-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2142,"text":"Journal for Nature Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making as a conservation tool for recovery planning of two endangered salamanders","docAbstract":"<p><span>At least one-third of all amphibian species face the threat of extinction, and current amphibian extinction rates are four orders of magnitude greater than background rates. Preventing extirpation often requires both ex situ (i.e., conservation breeding programs) and in situ strategies (i.e., protecting natural habitats). Flatwoods salamanders (</span><i>Ambystoma bishopi</i><span> and </span><i>A. cingulatum</i><span>) are protected under the U.S. Endangered Species Act. The two species have decreased from 476 historical locations to 63 recently extant locations (86.8% loss). We suggest that recovery efforts are needed to increase populations and prevent extinction, but uncertainty regarding optimal actions in both ex situ and in situ realms hinders recovery planning. We used structured decision making (SDM) to address key uncertainties regarding both captive breeding and habitat restoration, and we developed short-, medium-, and long-term goals to achieve recovery objectives. By promoting a transparent, logical approach, SDM has proven vital to recovery plan development for flatwoods salamanders. The SDM approach has clear advantages over other previous approaches to recovery efforts, and we suggest that it should be considered for other complex decisions regarding endangered species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jnc.2017.02.011","usgsCitation":"O’Donnell, K., Messerman, A.F., Barichivich, W.J., Semlitsch, R.D., Gorman, T.A., Mitchell, H.G., Allan, N., Fenolio, D.B., Green, A., Johnson, F.A., Keever, A., Mandica, M., Martin, J., Mott, J., Peacock, T., Reinman, J., Romanach, S.S., Titus, G., McGowan, C.P., and Walls, S.C., 2017, Structured decision making as a conservation tool for recovery planning of two endangered salamanders: Journal for Nature Conservation, v. 37, p. 66-72, https://doi.org/10.1016/j.jnc.2017.02.011.","productDescription":"7 p.","startPage":"66","endPage":"72","ipdsId":"IP-075815","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jnc.2017.02.011","text":"Publisher Index Page"},{"id":337170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"37","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c277d4e4b014cc3a3e76a7","contributors":{"authors":[{"text":"O’Donnell, Katherine M. 0000-0001-9023-174X kmodonnell@usgs.gov","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":176897,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katherine M.","email":"kmodonnell@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":681535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messerman, Arianne F","contributorId":187740,"corporation":false,"usgs":false,"family":"Messerman","given":"Arianne","email":"","middleInitial":"F","affiliations":[],"preferred":false,"id":681536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"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":681537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semlitsch, Raymond D.","contributorId":174906,"corporation":false,"usgs":false,"family":"Semlitsch","given":"Raymond","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":681538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman, Thomas A.","contributorId":169673,"corporation":false,"usgs":false,"family":"Gorman","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Harold G","contributorId":187741,"corporation":false,"usgs":false,"family":"Mitchell","given":"Harold","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":681540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allan, Nathan","contributorId":187742,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","affiliations":[],"preferred":false,"id":681541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fenolio, Dante B.","contributorId":167680,"corporation":false,"usgs":false,"family":"Fenolio","given":"Dante","email":"","middleInitial":"B.","affiliations":[{"id":24805,"text":"Department of Conservation and Research, San Antonio Zoo","active":true,"usgs":false}],"preferred":false,"id":681542,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Adam","contributorId":150581,"corporation":false,"usgs":false,"family":"Green","given":"Adam","affiliations":[],"preferred":false,"id":681543,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":681544,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":681545,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mandica, Mark","contributorId":187744,"corporation":false,"usgs":false,"family":"Mandica","given":"Mark","email":"","affiliations":[],"preferred":false,"id":681546,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","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":681547,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mott, Jana","contributorId":187745,"corporation":false,"usgs":false,"family":"Mott","given":"Jana","email":"","affiliations":[],"preferred":false,"id":681548,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peacock, Terry","contributorId":187746,"corporation":false,"usgs":false,"family":"Peacock","given":"Terry","email":"","affiliations":[],"preferred":false,"id":681549,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reinman, Joseph","contributorId":187747,"corporation":false,"usgs":false,"family":"Reinman","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":681550,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"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":681551,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Titus, Greg","contributorId":187748,"corporation":false,"usgs":false,"family":"Titus","given":"Greg","email":"","affiliations":[],"preferred":false,"id":681552,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":681553,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","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":681554,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70191859,"text":"70191859 - 2017 - Ground-rupturing earthquakes on the northern Big Bend of the San Andreas Fault, California, 800 A.D. to Present","interactions":[],"lastModifiedDate":"2017-10-18T16:09:11","indexId":"70191859","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Ground-rupturing earthquakes on the northern Big Bend of the San Andreas Fault, California, 800 A.D. to Present","docAbstract":"<p><span>Paleoseismic data on the timing of ground-rupturing earthquakes constrain the recurrence behavior of active faults and can provide insight on the rupture history of a fault if earthquakes dated at neighboring sites overlap in age and are considered correlative. This study presents the evidence and ages for 11 earthquakes that occurred along the Big Bend section of the southern San Andreas Fault at the Frazier Mountain paleoseismic site. The most recent earthquake to rupture the site was the&nbsp;</span><i>M<sub>w</sub></i><span>7.7–7.9 Fort Tejon earthquake of 1857. We use over 30 trench excavations to document the structural and sedimentological evolution of a small pull-apart basin that has been repeatedly faulted and folded by ground-rupturing earthquakes. A sedimentation rate of 0.4 cm/yr and abundant organic material for radiocarbon dating contribute to a record that is considered complete since 800 A.D. and includes 10 paleoearthquakes. Earthquakes have ruptured this location on average every ~100 years over the last 1200 years, but individual intervals range from ~22 to 186 years. The coefficient of variation of the length of time between earthquakes (0.7) indicates quasiperiodic behavior, similar to other sites along the southern San Andreas Fault. Comparison with the earthquake chronology at neighboring sites along the fault indicates that only one other 1857-size earthquake could have occurred since 1350 A.D., and since 800 A.D., the Big Bend and Mojave sections have ruptured together at most 50% of the time in<span>&nbsp;</span></span><i>M<sub>w</sub></i><span> ≥ 7.3 earthquakes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013606","usgsCitation":"Scharer, K.M., Weldon, R.J., Biasi, G., Streig, A., and Fumal, T.E., 2017, Ground-rupturing earthquakes on the northern Big Bend of the San Andreas Fault, California, 800 A.D. to Present: Journal of Geophysical Research, v. 122, no. 3, p. 2193-2218, https://doi.org/10.1002/2016JB013606.","productDescription":"26 p.","startPage":"2193","endPage":"2218","ipdsId":"IP-079786","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013606","text":"Publisher Index Page"},{"id":346907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","volume":"122","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d202","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":713427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biasi, Glenn","contributorId":175464,"corporation":false,"usgs":false,"family":"Biasi","given":"Glenn","affiliations":[],"preferred":false,"id":713428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Streig, Ashley","contributorId":39707,"corporation":false,"usgs":true,"family":"Streig","given":"Ashley","affiliations":[],"preferred":false,"id":713429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fumal, Thomas E.","contributorId":195091,"corporation":false,"usgs":false,"family":"Fumal","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195841,"text":"70195841 - 2017 - Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","interactions":[],"lastModifiedDate":"2018-03-06T11:04:55","indexId":"70195841","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antarctic ice-core water (USGS49) – A new isotopic reference material for δ<i>2</i>H and δ<i>18</i>O measurements of water","title":"Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","docAbstract":"<p><span>As a result of the scarcity of isotopic reference waters for daily use, a new secondary isotopic reference material for international distribution has been prepared from ice-core water from the Amundsen–Scott South Pole Station. This isotopic reference material, designated as USGS49, was filtered, homogenised, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity and measured by dual-inlet isotope-ratio mass spectrometry. The δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of USGS49 are −394.7&nbsp;±&nbsp;0.4 and −50.55&nbsp;±&nbsp;0.04&nbsp;mUr (where mUr&nbsp;=&nbsp;0.001&nbsp;=&nbsp;‰), respectively, relative to VSMOW, on scales normalised such that the δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of SLAP reference water are, respectively, −428 and −55.5&nbsp;mUr. Each uncertainty is an estimated expanded uncertainty (</span><i>U&nbsp;</i><span>=</span><i>&nbsp;</i><span>2</span><i>u</i><sub>c</sub><span>) about the reference value that provides an interval that has about a 95% probability of encompassing the true value. This isotopic reference material is intended as one of two isotopic reference waters for daily normalisation of stable hydrogen and oxygen isotopic analysis of water with an isotope-ratio mass spectrometer or a laser absorption spectrometer. It is available by the case of 144 glass ampoules or as a set of sixteen glass ampoules containing 5&nbsp;ml of water in each ampoule.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12135","usgsCitation":"Lorenz, J.M., Qi, H., and Coplen, T.B., 2017, Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water: Geostandards and Geoanalytical Research, v. 41, no. 1, p. 63-68, https://doi.org/10.1111/ggr.12135.","productDescription":"6 p.","startPage":"63","endPage":"68","ipdsId":"IP-077712","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-19","publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc494","contributors":{"authors":[{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":730259,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187194,"text":"70187194 - 2017 - Estimating regional-scale permeability–depth relations in a fractured-rock terrain using groundwater-flow model calibration","interactions":[],"lastModifiedDate":"2018-03-29T11:08:46","indexId":"70187194","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Estimating regional-scale permeability–depth relations in a fractured-rock terrain using groundwater-flow model calibration","docAbstract":"<p><span>The trend of decreasing permeability with depth was estimated in the fractured-rock terrain of the upper Potomac River basin in the eastern USA using model calibration on 200 water-level observations in wells and 12 base-flow observations in subwatersheds. Results indicate that permeability at the 1–10&nbsp;km scale (for groundwater flowpaths) decreases by several orders of magnitude within the top 100&nbsp;m of land surface. This depth range represents the transition from the weathered, fractured regolith into unweathered bedrock. This rate of decline is substantially greater than has been observed by previous investigators that have plotted in situ wellbore measurements versus depth. The difference is that regional water levels give information on kilometer-scale connectivity of the regolith and adjacent fracture networks, whereas in situ measurements give information on near-hole fractures and fracture networks. The approach taken was to calibrate model layer-to-layer ratios of hydraulic conductivity (LLKs) for each major rock type. Most rock types gave optimal LLK values of 40–60, where each layer was twice a thick as the one overlying it. Previous estimates of permeability with depth from deeper data showed less of a decline at &lt;300&nbsp;m than the regional modeling results. There was less certainty in the modeling results deeper than 200&nbsp;m and for certain rock types where fewer water-level observations were available. The results have implications for improved understanding of watershed-scale groundwater flow and transport, such as for the timing of the migration of pollutants from the water table to streams.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1483-y","usgsCitation":"Sanford, W.E., 2017, Estimating regional-scale permeability–depth relations in a fractured-rock terrain using groundwater-flow model calibration: Hydrogeology Journal, v. 25, no. 2, p. 405-419, https://doi.org/10.1007/s10040-016-1483-y.","productDescription":"15 p.","startPage":"405","endPage":"419","ipdsId":"IP-076752","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-11","publicationStatus":"PW","scienceBaseUri":"5afee8c4e4b0da30c1bfc4a6","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":692987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193066,"text":"70193066 - 2017 - Extended late Holocene relative sea-level histories for North Carolina, USA","interactions":[],"lastModifiedDate":"2017-11-12T11:04:29","indexId":"70193066","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Extended late Holocene relative sea-level histories for North Carolina, USA","docAbstract":"<p>We produced ∼3000-year long relative sea-level (RSL) histories for two sites in North Carolina (USA) using foraminifera preserved in new and existing cores of dated salt-marsh sediment. At Cedar Island, RSL rose by ∼2.4&nbsp;m during the past ∼3000 years compared to ∼3.3&nbsp;m&nbsp;at Roanoke Island. This spatial difference arises primarily from differential GIA that caused late Holocene RSL rise to be 0.1–0.2&nbsp;mm/yr faster at Roanoke Island than at Cedar Island. However, a non-linear difference in RSL between the two study regions (particularly from ∼0 CE to ∼1250 CE) indicates that additional local- to regional-scale processes drove centennial-scale RSL change in North Carolina. Therefore, the Cedar Island and Roanoke Island records should be considered as independent of one another. Between-site differences on sub-millennial timescales cannot be adequately explained by non-stationary tides, sediment compaction, or local sediment dynamics. We propose that a period of accelerating RSL rise from ∼600 CE to 1100 CE that is present at Roanoke Island (and other sites north of Cape Hatteras at least as far as Connecticut), but absent at Cedar Island (and other sites south of Cape Hatteras at least as far as northeastern Florida) is a local-to regional-scale effect of dynamic ocean and/or atmospheric circulation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.01.012","usgsCitation":"Kemp, A.C., Kegel, J.J., Culver, S.J., Barber, D.C., Mallinson, D.J., Leorri, E., Bernhardt, C.E., Cahill, N., Riggs, S.R., Woodson, A.L., Mulligan, R.P., and Horton, B.P., 2017, Extended late Holocene relative sea-level histories for North Carolina, USA: Quaternary Science Reviews, v. 160, p. 13-30, https://doi.org/10.1016/j.quascirev.2017.01.012.","productDescription":"18 p.","startPage":"13","endPage":"30","ipdsId":"IP-082692","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.01.012","text":"Publisher Index Page"},{"id":348618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cedar Island, Roanoke Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.41540527343749,\n              34.914088616906106\n            ],\n            [\n              -76.2454605102539,\n              34.914088616906106\n            ],\n            [\n              -76.2454605102539,\n              35.03449433167976\n            ],\n            [\n              -76.41540527343749,\n              35.03449433167976\n            ],\n            [\n              -76.41540527343749,\n              34.914088616906106\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.74592590332031,\n              35.801943102768846\n            ],\n            [\n              -75.59761047363281,\n              35.801943102768846\n            ],\n            [\n              -75.59761047363281,\n              35.94688293218141\n            ],\n            [\n              -75.74592590332031,\n              35.94688293218141\n            ],\n            [\n              -75.74592590332031,\n              35.801943102768846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"160","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94147","contributors":{"authors":[{"text":"Kemp, Andrew C.","contributorId":192892,"corporation":false,"usgs":false,"family":"Kemp","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":717794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kegel, Jessica J.","contributorId":198983,"corporation":false,"usgs":false,"family":"Kegel","given":"Jessica","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Donald C.","contributorId":198985,"corporation":false,"usgs":false,"family":"Barber","given":"Donald","email":"","middleInitial":"C.","affiliations":[{"id":6651,"text":"Bryn Mawr College, Bryn Mawr, PA","active":true,"usgs":false}],"preferred":false,"id":717797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leorri, Eduardo","contributorId":198987,"corporation":false,"usgs":false,"family":"Leorri","given":"Eduardo","email":"","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":717793,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cahill, Niamh","contributorId":150754,"corporation":false,"usgs":false,"family":"Cahill","given":"Niamh","email":"","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":717800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riggs, Stanley R.","contributorId":198988,"corporation":false,"usgs":false,"family":"Riggs","given":"Stanley","email":"","middleInitial":"R.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woodson, Anna L.","contributorId":198989,"corporation":false,"usgs":false,"family":"Woodson","given":"Anna","email":"","middleInitial":"L.","affiliations":[{"id":6651,"text":"Bryn Mawr College, Bryn Mawr, PA","active":true,"usgs":false},{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mulligan, Ryan P.","contributorId":194423,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":35723,"text":"Queen's University - Kingston, Ontario","active":true,"usgs":false}],"preferred":false,"id":721687,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":721688,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70182825,"text":"70182825 - 2017 - Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures","interactions":[],"lastModifiedDate":"2017-03-01T15:03:24","indexId":"70182825","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures","docAbstract":"Land-based sediment and contaminant runoff is a major threat to coral reefs, and runoff reduction efforts would benefit from knowledge of specific runoff sources. Geochemical signatures of small drainage basins were determined in the fine fraction of soil and sediment, then used in the nearshore region of a coral reef-fringed urban embayment on southeast Oahu, Hawaii, to describe sources and dispersal of land-based runoff. The sedimentary rare earth element ratio (La/Yb)N showed a clear distinction between the two main rock types in the overall contributing area, tholeiitic and alkalic olivine basalt. Based on this geochemical signature it was apparent that the majority of terrigenous sediment on the reef flat originated from geologically old tholeiitic drainages. Sediment from one of five tholeiitic drainages had a distinct geochemical signature, and sediment with this signature was dispersed on the reef flat 2 km west and 150 m offshore of the contributing basin. Sediment and the anthropogenic metals Cd, Pb, and Zn were entrained in runoff from the most heavily urbanized region of the watershed. Although anthropogenic Cd and Zn had localized distributions close to shore, anthropogenic Pb was found associated with fine sediment on the westernmost part of the reef flat and 400 m offshore, illustrating how trade-wind-driven sediment transport can increase the scale of runoff impacts to nearshore communities. Our findings show that sediment geochemical signatures can provide insights about the source and dispersal of land-based runoff in shallow coastal environments. The application of such knowledge to watershed management and habitat remediation efforts can aid in the protection and restoration of runoff-impacted coastal ecosystems worldwide.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2017.02.013","usgsCitation":"Takesue, R.K., and Storlazzi, C.D., 2017, Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures: Estuarine, Coastal and Shelf Science, v. 188, p. 69-80, https://doi.org/10.1016/j.ecss.2017.02.013.","productDescription":"12 p.","startPage":"69","endPage":"80","ipdsId":"IP-077727","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2017.02.013","text":"Publisher Index Page"},{"id":336781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu, Maunalua Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.81482696533203,\n              21.25578165931365\n            ],\n            [\n              -157.8014373779297,\n              21.247942260443136\n            ],\n            [\n              -157.77568817138672,\n              21.244422394657736\n            ],\n            [\n              -157.72607803344727,\n              21.251782018135142\n            ],\n            [\n              -157.70462036132812,\n              21.259141273974\n            ],\n            [\n              -157.70444869995117,\n              21.262660788081575\n            ],\n            [\n              -157.70273208618164,\n              21.266500162071285\n            ],\n            [\n              -157.6999855041504,\n              21.270339435929372\n            ],\n            [\n              -157.69620895385742,\n              21.273698718404496\n            ],\n            [\n              -157.69380569458008,\n              21.280257096502975\n            ],\n            [\n              -157.6871109008789,\n              21.29033403449086\n            ],\n            [\n              -157.67972946166992,\n              21.29497239289695\n            ],\n            [\n              -157.67972946166992,\n              21.304248670611088\n            ],\n            [\n              -157.67818450927734,\n              21.31624298901094\n            ],\n            [\n              -157.67887115478516,\n              21.31992105038645\n            ],\n            [\n              -157.68316268920898,\n              21.32088052950409\n            ],\n            [\n              -157.6864242553711,\n              21.32184000235055\n            ],\n            [\n              -157.68796920776367,\n              21.32040079072915\n            ],\n            [\n              -157.6900291442871,\n              21.31992105038645\n            ],\n            [\n              -157.6944923400879,\n              21.321040442080676\n            ],\n            [\n              -157.69620895385742,\n              21.319761136590504\n            ],\n            [\n              -157.6974105834961,\n              21.31848181995208\n            ],\n            [\n              -157.70238876342773,\n              21.318161989050616\n            ],\n            [\n              -157.70513534545898,\n              21.31672274137222\n            ],\n            [\n              -157.70668029785156,\n              21.31736240874883\n            ],\n            [\n              -157.7094268798828,\n              21.318002073338615\n            ],\n            [\n              -157.71337509155273,\n              21.316882658477624\n            ],\n            [\n              -157.72024154663086,\n              21.318641735141533\n            ],\n            [\n              -157.72384643554688,\n              21.319601222620364\n            ],\n            [\n              -157.72418975830078,\n              21.322319736422024\n            ],\n            [\n              -157.7259063720703,\n              21.324078747936507\n            ],\n            [\n              -157.7265930175781,\n              21.323119289723635\n            ],\n            [\n              -157.730712890625,\n              21.32263955826531\n            ],\n            [\n              -157.73809432983398,\n              21.323918838669897\n            ],\n            [\n              -157.74238586425778,\n              21.324878291656177\n            ],\n            [\n              -157.7497673034668,\n              21.32759670772215\n            ],\n            [\n              -157.75251388549805,\n              21.32807642297723\n            ],\n            [\n              -157.75543212890625,\n              21.330155170960563\n            ],\n            [\n              -157.75886535644528,\n              21.33191408855959\n            ],\n            [\n              -157.76161193847656,\n              21.33191408855959\n            ],\n            [\n              -157.76315689086914,\n              21.330634877851473\n            ],\n            [\n              -157.7665901184082,\n              21.32647736602851\n            ],\n            [\n              -157.76727676391602,\n              21.322319736422024\n            ],\n            [\n              -157.77019500732422,\n              21.318961564997892\n            ],\n            [\n              -157.77225494384766,\n              21.314164043999003\n            ],\n            [\n              -157.77225494384766,\n              21.309526291377146\n            ],\n            [\n              -157.77551651000977,\n              21.305528111237457\n            ],\n            [\n              -157.7772331237793,\n              21.305688040532324\n            ],\n            [\n              -157.78427124023438,\n              21.29849104992159\n            ],\n            [\n              -157.78427124023438,\n              21.296411853679203\n            ],\n            [\n              -157.78650283813474,\n              21.285055724513832\n            ],\n            [\n              -157.79027938842773,\n              21.275138387419638\n            ],\n            [\n              -157.80298233032227,\n              21.266500162071285\n            ],\n            [\n              -157.8014373779297,\n              21.265700300746985\n            ],\n            [\n              -157.7998924255371,\n              21.26314071530574\n            ],\n            [\n              -157.80109405517578,\n              21.259301253712884\n            ],\n            [\n              -157.80401229858398,\n              21.257381485376463\n            ],\n            [\n              -157.80710220336914,\n              21.257381485376463\n            ],\n            [\n              -157.80847549438477,\n              21.257381485376463\n            ],\n            [\n              -157.8105354309082,\n              21.259301253712884\n            ],\n            [\n              -157.81482696533203,\n              21.25578165931365\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"188","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba0e4b01ccd5500bad3","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":673910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190053,"text":"70190053 - 2017 - Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","interactions":[],"lastModifiedDate":"2017-08-08T10:52:14","indexId":"70190053","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","docAbstract":"<p>An uncommon coastal sedimentary record combines evidence for seismic shaking and coincident tsunami inundation since AD 1000 in the region of the largest earthquake recorded instrumentally: the giant 1960 southern Chile earthquake (Mw 9.5). The record reveals significant variability in the size and recurrence of megathrust earthquakes and ensuing tsunamis along this part of the Nazca-South American plate boundary. A 500-m long coastal outcrop on Isla Chiloé, midway along the 1960 rupture, provides continuous exposure of soil horizons buried locally by debris-flow diamicts and extensively by tsunami sand sheets. The diamicts flattened plants that yield geologically precise ages to correlate with well-dated evidence elsewhere. The 1960 event was preceded by three earthquakes that probably resembled it in their effects, in AD 898 - 1128, 1300 - 1398 and 1575, and by five relatively smaller intervening earthquakes. Earthquakes and tsunamis recurred exceptionally often between AD 1300 and 1575. Their average recurrence interval of 85 years only slightly exceeds the time already elapsed since 1960. This inference is of serious concern because no earthquake has been anticipated in the region so soon after the 1960 event, and current plate locking suggests that some segments of the boundary are already capable of producing large earthquakes. This long-term earthquake and tsunami history of one of the world's most seismically active subduction zones provides an example of variable rupture mode, in which earthquake size and recurrence interval vary from one earthquake to the next.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.12.007","usgsCitation":"Cisternas, M., Garrett, E., Wesson, R.L., Dura, T., and Ely, L.L., 2017, Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake: Marine Geology, v. 385, no. 1 March 2017, p. 101-113, https://doi.org/10.1016/j.margeo.2016.12.007.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-083320","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470047,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/file/1364141/1/Accepted%20Journal%20Article","text":"External Repository"},{"id":344645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://ars.els-cdn.com/content/image/1-s2.0-S0025322716X00138-cov150h.gif"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.619140625,\n              -43.46089378008257\n            ],\n            [\n              -73.19091796875,\n              -43.46089378008257\n            ],\n            [\n              -73.19091796875,\n              -41.73033005046652\n            ],\n            [\n              -74.619140625,\n              -41.73033005046652\n            ],\n            [\n              -74.619140625,\n              -43.46089378008257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"385","issue":"1 March 2017","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598acddce4b09fa1cb0e13db","contributors":{"authors":[{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":707338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, E","contributorId":195524,"corporation":false,"usgs":false,"family":"Garrett","given":"E","email":"","affiliations":[],"preferred":false,"id":707339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dura, T.","contributorId":193399,"corporation":false,"usgs":false,"family":"Dura","given":"T.","affiliations":[],"preferred":false,"id":707341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, L. L","contributorId":193400,"corporation":false,"usgs":false,"family":"Ely","given":"L.","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":707342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193485,"text":"70193485 - 2017 - Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","interactions":[],"lastModifiedDate":"2017-11-10T11:05:48","indexId":"70193485","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Conservation status of the American horseshoe crab, (<i>Limulus polyphemus</i>): A regional assessment","title":"Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","docAbstract":"<p>Horseshoe crabs have persisted for more than 200 million years, and fossil forms date to 450 million years ago. The American horseshoe crab (<i class=\"EmphasisTypeItalic \">Limulus polyphemus</i>), one of four extant horseshoe crab species, is found along the Atlantic coastline of North America ranging from Alabama to Maine, USA with another distinct population on the coasts of Campeche, Yucatán and Quintana Roo in the Yucatán Peninsula, México. Although the American horseshoe crab tolerates broad environmental conditions, exploitation and habitat loss threaten the species. We assessed the conservation status of the American horseshoe crab by comprehensively reviewing available scientific information on its range, life history, genetic structure, population trends and analyses, major threats, and conservation. We structured the status assessment by six genetically-informed regions and accounted for sub-regional differences in environmental conditions, threats, and management. The transnational regions are Gulf of Maine (USA), Mid-Atlantic (USA), Southeast (USA), Florida Atlantic (USA), Northeast Gulf of México (USA), and Yucatán Peninsula (México). Our conclusion is that the American horseshoe crab species is vulnerable to local extirpation and that the degree and extent of risk vary among and within the regions. The risk is elevated in the Gulf of Maine region due to limited and fragmented habitat. The populations of horseshoe crabs in the Mid-Atlantic region are stable in the Delaware Bay area, and regulatory controls are in place, but the risk is elevated in the New England area as evidenced by continuing declines understood to be caused by over-harvest. The populations of horseshoe crabs in the Southeast region are stable or increasing. The populations of horseshoe crabs in the Florida Atlantic region show mixed trends among areas, and continuing population reductions at the embayment level have poorly understood causes. Within the Northeast Gulf of Mexico, causes of population trends are poorly understood and currently there is no active management of horseshoe crabs. Horseshoe crabs within México have conservation protection based on limited and fragmented habitat and geographic isolation from other regions, but elevated risk applies to the horseshoe crabs in the Yucatán Peninsula region until sufficient data can confirm population stability. Future species status throughout its range will depend on the effectiveness of conservation to mitigate habitat loss and manage for sustainable harvest among and within regions.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9461-y","usgsCitation":"Smith, D.R., Brockmann, H.J., Beekey, M.A., King, T.L., Millard, M., and Zaldivar-Rae, J., 2017, Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment: Reviews in Fish Biology and Fisheries, v. 27, no. 1, p. 135-175, https://doi.org/10.1007/s11160-016-9461-y.","productDescription":"41 p.","startPage":"135","endPage":"175","ipdsId":"IP-072969","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-016-9461-y","text":"Publisher Index Page"},{"id":348566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"27","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-10","publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86135","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":721551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockmann, H. Jane","contributorId":199472,"corporation":false,"usgs":false,"family":"Brockmann","given":"H.","email":"","middleInitial":"Jane","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":721552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beekey, Mark A.","contributorId":199471,"corporation":false,"usgs":false,"family":"Beekey","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":35545,"text":"Sacred Heart University","active":true,"usgs":false}],"preferred":false,"id":721558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":721559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":721560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zaldivar-Rae, Jaime","contributorId":199473,"corporation":false,"usgs":false,"family":"Zaldivar-Rae","given":"Jaime","email":"","affiliations":[{"id":35546,"text":"Anáhuac Mayab University","active":true,"usgs":false}],"preferred":false,"id":721561,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189627,"text":"70189627 - 2017 - Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","interactions":[],"lastModifiedDate":"2018-03-29T11:32:05","indexId":"70189627","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","docAbstract":"<p><span>Seismic noise induced by atmospheric processes such as wind and pressure changes can be a major contributor to the background noise observed in many seismograph stations, especially those installed at or near the surface. Cultural noise such as vehicle traffic or nearby buildings with air handling equipment also contributes to seismic background noise. Such noise sources fundamentally limit our ability to resolve earthquake‐generated signals. Many previous seismic noise versus depth studies focused separately on either high‐frequency (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-4\" class=\"mn\">1</span><span id=\"MathJax-Span-5\" class=\"mtext\">  </span><span id=\"MathJax-Span-6\" class=\"mi\">Hz</span></span></span></span></span></span></span><span>) or low‐frequency (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>0.05</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-10\" class=\"mn\">0.05</span><span id=\"MathJax-Span-11\" class=\"mtext\">  </span><span id=\"MathJax-Span-12\" class=\"mi\">Hz</span></span></span></span></span></span></span><span>) bands. In this study, we use modern high‐quality broadband (BB) and very broadband (VBB) seismometers installed at depths ranging from 1.5 to 188&nbsp;m at the Albuquerque Seismological Laboratory to evaluate noise attenuation as a function of depth over a broad range of frequencies (0.002–50&nbsp;Hz). Many modern seismometer deployments use BB or VBB seismometers installed at various depths, depending on the application. These depths range from one‐half meter or less in aftershock study deployments, to one or two meters in the Incorporated Research Institutions for Seismology Transportable Array (TA), to a few meters (shallow surface vaults) up to 100&nbsp;m or more (boreholes) in the permanent observatories of the Global Seismographic Network (GSN). It is important for managers and planners of these and similar arrays and networks of seismograph stations to understand the attenuation of surface‐generated noise versus depth so that they can achieve desired performance goals within their budgets as well as their frequency band of focus. The results of this study will assist in decisions regarding BB and VBB seismometer installation depths. In general, we find that greater installation depths are better and seismometer emplacement in hard rock is better than in soil. Attenuation for any given depth varies with frequency. More specifically, we find that the dependence of depth will be application dependent based on the frequency band and sensitive axes of interest. For quick deployments (like aftershock studies), 1&nbsp;m may be deep enough to produce good data, especially when the focus is on vertical data where temperature stability fundamentally limits the low‐frequency noise levels and little low‐frequency data will be used. For temporary (medium‐term) deployments (e.g., TA) where low cost can be very important, 2–3&nbsp;m should be sufficient, but such shallow installations will limit the ability to resolve low‐frequency signals, especially on horizontal components. Of course, one should try for maximum burial depth within the budget when there is interest in using the data for low‐frequency applications. For long‐term deployments like the permanent observatories of the GSN and similar networks, 100–200&nbsp;m depth in hard rock is desirable to achieve lowest noise, although 30–60&nbsp;m may be acceptable.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160187","usgsCitation":"Hutt, C.R., Ringler, A.T., and Gee, L., 2017, Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1402-1412, https://doi.org/10.1785/0120160187.","productDescription":"11 p.","startPage":"1402","endPage":"1412","ipdsId":"IP-082061","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"5afee8c4e4b0da30c1bfc4a4","contributors":{"authors":[{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gee, Lind 0000-0003-2883-9847 lgee@usgs.gov","orcid":"https://orcid.org/0000-0003-2883-9847","contributorId":193064,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705489,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188148,"text":"70188148 - 2017 - Mitogenomes and relatedness do not predict frequency of tool-use by sea otters","interactions":[],"lastModifiedDate":"2017-06-02T11:08:07","indexId":"70188148","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mitogenomes and relatedness do not predict frequency of tool-use by sea otters","docAbstract":"<p><span>Many ecological aspects of tool-use in sea otters are similar to those in Indo-Pacific bottlenose dolphins. Within an area, most tool-using dolphins share a single mitochondrial haplotype and are more related to each other than to the population as a whole. We asked whether sea otters in California showed similar genetic patterns by sequencing mitogenomes of 43 otters and genotyping 154 otters at 38 microsatellite loci. There were six variable sites in the mitogenome that yielded three haplotypes, one found in only a single individual. The other two haplotypes contained similar percentages (33 and 36%) of frequent tool-users and a variety of diet types. Microsatellite analyses showed that snail specialists, the diet specialist group that most frequently used tools, were no more related to each other than to the population as a whole. The lack of genetic association among tool-using sea otters compared with dolphins may result from the length of time each species has been using tools. Tool-use in dolphins appears to be a relatively recent innovation (less than 200 years) but sea otters have probably been using tools for many thousands or even millions of years.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsbl.2016.0880","usgsCitation":"Ralls, K., Rotzel McInerney, N., Gagne, R., Ernest, H.B., Tinker, M.T., Fujii, J., and Maldonado, J., 2017, Mitogenomes and relatedness do not predict frequency of tool-use by sea otters: Biology Letters, v. 13, no. 3, Article 20160880, https://doi.org/10.1098/rsbl.2016.0880.","productDescription":"Article 20160880","ipdsId":"IP-081341","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2016.0880","text":"Publisher Index Page"},{"id":342036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59327924e4b0e9bd0eab5509","contributors":{"authors":[{"text":"Ralls, Katherine","contributorId":37900,"corporation":false,"usgs":false,"family":"Ralls","given":"Katherine","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":696896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotzel McInerney, Nancy","contributorId":192578,"corporation":false,"usgs":false,"family":"Rotzel McInerney","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":696897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gagne, Roderick B.","contributorId":192579,"corporation":false,"usgs":false,"family":"Gagne","given":"Roderick B.","affiliations":[],"preferred":false,"id":696898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ernest, Holly B.","contributorId":127689,"corporation":false,"usgs":false,"family":"Ernest","given":"Holly","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":696899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":696900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maldonado, Jesus","contributorId":127482,"corporation":false,"usgs":false,"family":"Maldonado","given":"Jesus","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":696901,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193265,"text":"70193265 - 2017 - Integrating multiple data sources in species distribution modeling: A framework for data fusion","interactions":[],"lastModifiedDate":"2018-12-20T12:52:54","indexId":"70193265","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating multiple data sources in species distribution modeling: A framework for data fusion","docAbstract":"<p>The last decade has seen a dramatic increase in the use of species distribution models (SDMs) to characterize patterns of species’ occurrence and abundance. Efforts to parameterize SDMs often create a tension between the quality and quantity of data available to fit models. Estimation methods that integrate both standardized and non-standardized data types offer a potential solution to the tradeoff between data quality and quantity. Recently several authors have developed approaches for jointly modeling two sources of data (one of high quality and one of lesser quality). We extend their work by allowing for explicit spatial autocorrelation in occurrence and detection error using a Multivariate Conditional Autoregressive (MVCAR) model and develop three models that share information in a less direct manner resulting in more robust performance when the auxiliary data is of lesser quality. We describe these three new approaches (“Shared,” “Correlation,” “Covariates”) for combining data sources and show their use in a case study of the Brown-headed Nuthatch in the Southeastern U.S. and through simulations. All three of the approaches which used the second data source improved out-of-sample predictions relative to a single data source (“Single”). When information in the second data source is of high quality, the Shared model performs the best, but the Correlation and Covariates model also perform well. When the information quality in the second data source is of lesser quality, the Correlation and Covariates model performed better suggesting they are robust alternatives when little is known about auxiliary data collected opportunistically or through citizen scientists. Methods that allow for both data types to be used will maximize the useful information available for estimating species distributions.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecy.1710","usgsCitation":"Pacifici, K., Reich, B.J., Miller, D.A., Gardner, B., Stauffer, G.E., Singh, S., McKerrow, A., and Collazo, J., 2017, Integrating multiple data sources in species distribution modeling: A framework for data fusion: Ecology, v. 98, no. 3, p. 840-850, https://doi.org/10.1002/ecy.1710.","productDescription":"11 p.","startPage":"840","endPage":"850","ipdsId":"IP-073421","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":470049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1710","text":"Publisher Index Page"},{"id":348018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd24e4b0531197b13cad","contributors":{"authors":[{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W. davidmiller@usgs.gov","contributorId":4043,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"davidmiller@usgs.gov","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":719050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":719051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":719052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Singh, Susheela","contributorId":11646,"corporation":false,"usgs":false,"family":"Singh","given":"Susheela","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719061,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":719062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719063,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187569,"text":"70187569 - 2017 - Biota: Providing often-overlooked connections among freshwater systems","interactions":[],"lastModifiedDate":"2017-05-09T11:25:00","indexId":"70187569","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Biota: Providing often-overlooked connections among freshwater systems","docAbstract":"<p>When we think about connections in and among aquatic systems, we typically envision clear headwater streams flowing into downstream rivers, river floodwaters spilling out onto adjacent floodplains, or groundwater connecting wetlands to lakes and streams. However, there is another layer of connectivity moving materials among freshwater systems, one with connections that are not always tied to downgradient flows of surface waters and groundwater. These movements are those of organisms, key components of virtually every freshwater system on the planet. In their movements across the landscape, biota connect aquatic systems in often-overlooked ways.</p>","language":"English","publisher":"American Water Resources Association","usgsCitation":"Mushet, D.M., Christensen, J.R., Bennett, M., and Alexander, L., 2017, Biota: Providing often-overlooked connections among freshwater systems: Water Resources Impact, v. 19, no. 2, p. 11-13.","productDescription":"3 p.","startPage":"11","endPage":"13","ipdsId":"IP-082235","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340992,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d536e4b0e541a03d451f","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":694602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":694603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Michah","contributorId":191888,"corporation":false,"usgs":false,"family":"Bennett","given":"Michah","email":"","affiliations":[],"preferred":false,"id":694604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":694605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}