{"pageNumber":"695","pageRowStart":"17350","pageSize":"25","recordCount":165309,"records":[{"id":70203615,"text":"ofr20191057 - 2019 - Benthic community dynamics in Coyote Creek and Artesian Slough, southern San Francisco Bay, California, May 2016 to March 2018","interactions":[],"lastModifiedDate":"2019-07-19T06:43:00","indexId":"ofr20191057","displayToPublicDate":"2019-07-18T14:35:49","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1057","displayTitle":"Benthic Community Dynamics in Coyote Creek and Artesian Slough, Southern San Francisco Bay, California, May 2016 to March 2018","title":"Benthic community dynamics in Coyote Creek and Artesian Slough, southern San Francisco Bay, California, May 2016 to March 2018","docAbstract":"<div>The primary objective of this study is to quantify current (2016–18) benthic-community structure and function in the southern San Francisco Bay, and to compare those communities to the communities in the neighboring sloughs. The study area is inclusive of the area south of the Dumbarton Bridge including Coyote Creek and Artesian Slough.</div><div>&nbsp; &nbsp;</div><div>The southern San Francisco Bay is a system dependent on phytoplankton as the base to the food web. Despite abundant nutrients, southern San Francisco Bay has had limited phytoplankton production in the last several decades owing to poor light conditions caused by high turbidities, and high grazing losses from the water column by benthic invertebrates and zooplankton. However, the balance of biogeochemical conditions during spring of most years accommodates a short phytoplankton bloom in the southern San Francisco Bay. This balance between available light, nutrients, and grazing has maintained the phytoplankton biomass in the southern San Francisco Bay at low levels relative to other high-nutrient urban estuaries. The role of benthic invertebrates during episodic spring events, as well as in other seasons, remains of great interest to water-quality and biological resource managers.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191057","usgsCitation":"Shrader, K.H., Pearson, S.A., Parchaso, F., and Thompson, J.K., 2019, Benthic community dynamics in Coyote Creek and Artesian Slough, southern San Francisco Bay, California, May 2016 to March 2018: U.S. Geological Survey Open-File Report 2019–1057, 93 p., https://doi.org/10.3133/ofr20191057.","productDescription":"v, 96 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-099797","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":365718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1057/ofr20191057.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1057"},{"id":365717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1057/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.13751220703125,\n              37.020098201368114\n            ],\n            [\n              -121.55548095703125,\n              37.020098201368114\n            ],\n            [\n              -121.55548095703125,\n              38.30071455572194\n            ],\n            [\n              -123.13751220703125,\n              38.30071455572194\n            ],\n            [\n              -123.13751220703125,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://water.usgs.gov\">Hydro-Eco Interactions Branch</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Conclusions</li><li>References Cited</li><li>Figures</li><li>Tables</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-07-18","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrader, Kelly H. 0000-0001-6550-7425","orcid":"https://orcid.org/0000-0001-6550-7425","contributorId":215872,"corporation":false,"usgs":true,"family":"Shrader","given":"Kelly H.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":763294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Sarah A. spearson@usgs.gov","contributorId":152203,"corporation":false,"usgs":true,"family":"Pearson","given":"Sarah","email":"spearson@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":763296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":763297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204092,"text":"sir20195065 - 2019 - Assessment of polycyclic aromatic hydrocarbon concentrations in southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17","interactions":[],"lastModifiedDate":"2019-07-26T12:33:09","indexId":"sir20195065","displayToPublicDate":"2019-07-18T14:25:35","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5065","displayTitle":"Assessment of Polycyclic Aromatic Hydrocarbon Concentrations in Southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17","title":"Assessment of polycyclic aromatic hydrocarbon concentrations in southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17","docAbstract":"<p>Polycyclic aromatic hydrocarbon contamination related to boat use is one of the most important water-quality issues affecting Lake Powell. High concentrations of polycyclic aromatic hydrocarbons in water are common around marinas and other areas with extensive motorboat activity because of releases of uncombusted or partially combusted oil and gasoline from boat engines. The fate of these compounds in Lake Powell is of serious environmental concern because of their toxicity and carcinogenicity and their moderate persistence once they enter the aquatic ecosystem. In 2016–17, the U.S. Geological Survey (USGS) assessed the presence and concentrations of polycyclic aromatic hydrocarbons in Lake Powell at seven sites where concentrations have historically been elevated and one site where concentrations have historically been relatively low. Semipermeable membrane devices were used to collect samples that represent time-weighted averages of polycyclic aromatic hydrocarbon concentrations in water over one-month deployment periods. Samples were collected from the epilimnion of the lake at each of the eight sampling sites during two periods of relatively high boat use (summer), and one period of relatively low boat use (spring). Twenty-eight out of 33 polycyclic aromatic hydrocarbons analyzed were detected in Lake Powell during the three sampling events. During the two summer sampling events, concentrations were generally higher, and more compounds were detected, than during the spring sampling event. Twenty-two of the polycyclic aromatic hydrocarbons analyzed in 2016–17 had previously been analyzed by the USGS in the summer of 2010 at the same 8 sites using the same collection method. Eleven of 22 compounds were detected in the summer 2010, summer 2016, and summer 2017 sampling events, and 1 was detected in the summer 2010 and summer 2017 samplings, but not in the summer 2016 sampling event. During both the current and previous sampling events, concentrations were generally higher, and more compounds were detected, at the high-use marina sites located most downstream on the lake. The consistent presence of a wide range of polycyclic aromatic hydrocarbons in the water of Lake Powell indicates chronic and (or) recent anthropogenic sources of contamination. The results from this study will provide the National Park Service with information necessary to determine if the current regulations on emission standards for personal watercraft used on Lake Powell are effective in lowering polycyclic aromatic hydrocarbon concentrations in the lake.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195065","collaboration":"Prepared in cooperation with the National Park Service and the Bureau of Reclamation","usgsCitation":"Coes, A.L., Paretti, N.V., Alvarez, D.A., and Macy, J.P., 2019, Assessment of polycyclic aromatic hydrocarbon concentrations in southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17: U.S. Geological Survey Scientific Investigations Report 2019–5065, 26 p., https://doi.org/10.3133/sir20195065.","productDescription":"v, 26 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-097642","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":365700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5065/coverthb.jpg"},{"id":365701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5065/sir20195065.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5065"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Glen Canyon National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.1044921875,\n              36.54494944148322\n            ],\n            [\n              -110.3466796875,\n              36.54494944148322\n            ],\n            [\n              -110.3466796875,\n              37.579412513438385\n            ],\n            [\n              -112.1044921875,\n              37.579412513438385\n            ],\n            [\n              -112.1044921875,\n              36.54494944148322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:leenhout@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:leenhout@usgs.gov\">Director</a>,<br><a href=\"https://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Sampling Conditions</li><li>Data Quality Assessment</li><li>Polycyclic Aromatic Hydrocarbon Concentrations</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-07-18","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 nparetti@usgs.gov","orcid":"https://orcid.org/0000-0003-2178-4820","contributorId":173412,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas","email":"nparetti@usgs.gov","middleInitial":"V.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":765446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765444,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215262,"text":"70215262 - 2019 - Widespread diminishing anthropogenic effects on calcium in freshwaters","interactions":[],"lastModifiedDate":"2020-10-15T14:12:58.47882","indexId":"70215262","displayToPublicDate":"2019-07-18T11:30:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Widespread diminishing anthropogenic effects on calcium in freshwaters","docAbstract":"<p><span>Calcium (Ca) is an essential element for almost all living organisms. Here, we examined global variation and controls of freshwater Ca concentrations, using 440 599 water samples from 43 184 inland water sites in 57 countries. We found that the global median Ca concentration was 4.0 mg L</span><sup>−1</sup><span>&nbsp;with 20.7% of the water samples showing Ca concentrations ≤ 1.5 mg L</span><sup>−1</sup><span>, a threshold considered critical for the survival of many Ca-demanding organisms. Spatially, freshwater Ca concentrations were strongly and proportionally linked to carbonate alkalinity, with the highest Ca and carbonate alkalinity in waters with a pH around 8.0 and decreasing in concentrations towards lower pH. However, on a temporal scale, by analyzing decadal trends in &gt;200 water bodies since the 1980s, we observed a frequent decoupling between carbonate alkalinity and Ca concentrations, which we attributed mainly to the influence of anthropogenic acid deposition. As acid deposition has been ameliorated, in many freshwaters carbonate alkalinity concentrations have increased or remained constant, while Ca concentrations have rapidly declined towards or even below pre-industrial conditions as a consequence of recovery from anthropogenic acidification. Thus, a paradoxical outcome of the successful remediation of acid deposition is a globally widespread freshwater Ca concentration decline towards critically low levels for many aquatic organisms.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-019-46838-w","usgsCitation":"Weyhenmeyer, G.A., Hartmann, J., Hessen, D.O., Kopáček, J., Hejzlar, J., Jacquet, S., Hamilton, S.K., Verburg, P., Leach, T.H., Schmid, M., Flaim, G., Nõges, T., Nõges, P., Wentzky, V.C., Rogora, M., Rusak, J.A., Kosten, S., Paterson, A.M., Teubner, K., Higgins, S.N., Lawrence, G.B., Kangur, K., Kokorite, I., Cerasino, L., Funk, C., Harvey, R.G., Moatar, F., Wit, H.D., and Zechmeister, T., 2019, Widespread diminishing anthropogenic effects on calcium in freshwaters: Scientific Reports, v. 9, 10450, 10 p., https://doi.org/10.1038/s41598-019-46838-w.","productDescription":"10450, 10 p.","ipdsId":"IP-101396","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-46838-w","text":"Publisher Index Page"},{"id":379372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Weyhenmeyer, Gesa A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":801341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartmann, Jens","contributorId":191648,"corporation":false,"usgs":false,"family":"Hartmann","given":"Jens","email":"","affiliations":[],"preferred":false,"id":801342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hessen, Dag O.","contributorId":243011,"corporation":false,"usgs":false,"family":"Hessen","given":"Dag","email":"","middleInitial":"O.","affiliations":[{"id":48608,"text":"University of Oslo","active":true,"usgs":false}],"preferred":false,"id":801343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kopáček, Jiří","contributorId":243012,"corporation":false,"usgs":false,"family":"Kopáček","given":"Jiří","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":801344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hejzlar, Josef 0000-0002-7186-4776","orcid":"https://orcid.org/0000-0002-7186-4776","contributorId":243013,"corporation":false,"usgs":false,"family":"Hejzlar","given":"Josef","email":"","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":801345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacquet, Stephan","contributorId":243014,"corporation":false,"usgs":false,"family":"Jacquet","given":"Stephan","email":"","affiliations":[{"id":48609,"text":"INRA CARRTEL, France","active":true,"usgs":false}],"preferred":false,"id":801346,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hamilton, Stephen K.","contributorId":143690,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":801347,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Verburg, Piet","contributorId":150311,"corporation":false,"usgs":false,"family":"Verburg","given":"Piet","email":"","affiliations":[{"id":17985,"text":"National Institute of Water and Atmospheric Research, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":801348,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leach, Taylor H.","contributorId":194464,"corporation":false,"usgs":false,"family":"Leach","given":"Taylor","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":801349,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schmid, Martin","contributorId":166879,"corporation":false,"usgs":false,"family":"Schmid","given":"Martin","email":"","affiliations":[],"preferred":false,"id":801350,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flaim, Giovanna","contributorId":243015,"corporation":false,"usgs":false,"family":"Flaim","given":"Giovanna","email":"","affiliations":[{"id":48610,"text":"Research and Innovation Centre, Fondazione, Italy","active":true,"usgs":false}],"preferred":false,"id":801351,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nõges, Tiina","contributorId":243016,"corporation":false,"usgs":false,"family":"Nõges","given":"Tiina","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":801352,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nõges, Peeter","contributorId":243017,"corporation":false,"usgs":false,"family":"Nõges","given":"Peeter","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":801353,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wentzky, Valerie C.","contributorId":243018,"corporation":false,"usgs":false,"family":"Wentzky","given":"Valerie","email":"","middleInitial":"C.","affiliations":[{"id":48611,"text":"Helmholtz Centre for Environmental Research, Magdeburg, Germany","active":true,"usgs":false}],"preferred":false,"id":801354,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rogora, Michela","contributorId":150299,"corporation":false,"usgs":false,"family":"Rogora","given":"Michela","email":"","affiliations":[{"id":17974,"text":"National Research Council, Institute of Ecosystem Study, Verbania Pallanza, Italy","active":true,"usgs":false}],"preferred":false,"id":801355,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rusak, James A. 0000-0002-4939-6478","orcid":"https://orcid.org/0000-0002-4939-6478","contributorId":150301,"corporation":false,"usgs":false,"family":"Rusak","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":17970,"text":"Dorset Environmental Science Centre, Ontario Ministry of the Environment and Climate Change, Dorset, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":801356,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kosten, 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Austria","active":true,"usgs":false}],"preferred":false,"id":801359,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Higgins, Scott N.","contributorId":166843,"corporation":false,"usgs":false,"family":"Higgins","given":"Scott","email":"","middleInitial":"N.","affiliations":[{"id":24553,"text":"International Institute for Sustainable Development - Experimental Lakes Area, Winnipeg, Manitoba, R3B 2L6, Canada","active":true,"usgs":false}],"preferred":false,"id":801360,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801361,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kangur, 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,{"id":70208461,"text":"70208461 - 2019 - Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes","interactions":[],"lastModifiedDate":"2020-02-11T07:58:54","indexId":"70208461","displayToPublicDate":"2019-07-18T07:56:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1434,"text":"Earthquake Engineering and Structural Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes","docAbstract":"Activities related to oil and gas production, especially deep disposal of wastewater, have led to sequences of induced earthquakes in the central U.S. This study aims to quantify damage to and seismic losses for light-frame wood buildings when subjected to sequences of induced, small to moderate magnitude, events. To conduct this investigation, one and two-story multifamily wood frame buildings are designed, and their seismic response dynamically simulated using three-dimensional (3D) nonlinear models, subjected to ground motion sequences recorded in induced events. Damage is quantified through seismic losses, which are estimated using the FEMA P-58 methodology. Results show that at levels of shaking experienced in recent earthquakes, minor damage, consisting of cracking of interior finishes and nonstructural damage to plumbing and HVAC systems is expected, which is consistent with observed damage in these events. The study also examines how expected losses and building fragility will accumulate and/or change over a sequence of earthquakes. Results indicate that damage quantified in terms of absorbed hysteretic energy tended to accumulate over the sequences; this damage corresponds to elongation or widening of cracks. However, fragility is not significantly altered by damage in a preceding event, meaning structures are not becoming more vulnerable due to existing damage. In addition, sequences of events do not change losses if the building is only repaired once at the end of the sequence, as the worsening of damage does not alter repair actions. If repairs are conducted after each event, though, total seismic losses can increase greatly from the sequence.","language":"English","publisher":"Wiley","doi":"10.1002/eqe.3189","usgsCitation":"Chase, R.E., Liel, A.B., Luco, N., and Baird, B.W., 2019, Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes: Earthquake Engineering and Structural Dynamics, v. 48, no. 12, p. 1365-1383, https://doi.org/10.1002/eqe.3189.","productDescription":"19 p.","startPage":"1365","endPage":"1383","ipdsId":"IP-107935","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma 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,{"id":70205950,"text":"70205950 - 2019 - Twenty-first century California, USA, wildfires: Fuel-dominated vs. wind-dominated fires","interactions":[],"lastModifiedDate":"2019-10-11T06:44:55","indexId":"70205950","displayToPublicDate":"2019-07-18T06:43:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Twenty-first century California, USA, wildfires: Fuel-dominated vs. wind-dominated fires","docAbstract":"Since the beginning of the twenty-first century California, USA, has experienced a substantial increase in the frequency of large wildfires, often with extreme impacts on people and property. Due to the size of the state, it is not surprising that the factors driving these changes differ across this region. Although there are always multiple factors driving wildfire behavior, we believe a helpful model for understanding fires in the state is to frame the discussion in terms of bottom-up vs. top-down controls on fire behavior; that is, fires that are clearly dominated by anomalously high fuel loads from those dominated by extreme wind events. Of course, this distinction is somewhat artificial in that all fires are controlled by multiple factors involving fuels, winds, and topography. However, we believe that fires clearly recognizable as fuel-dominated vs. wind-dominated provide interesting case studies of factors behind these two extremes. These two types of fires differ greatly in their (1) geographical distribution in the state, (2) past fire history, (3) prominent sources of ignition, (4) seasonal timing, (5) resources most at risk, and (6) requirement for different management responses.","language":"English","publisher":"Springer","doi":"10.1186/s42408-019-0041-0","usgsCitation":"Keeley, J., and Syphard, A.D., 2019, Twenty-first century California, USA, wildfires: Fuel-dominated vs. wind-dominated fires: Fire Ecology, v. 15, 24, 15 p., https://doi.org/10.1186/s42408-019-0041-0.","productDescription":"24, 15 p.","ipdsId":"IP-104751","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-019-0041-0","text":"Publisher Index 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,{"id":70204335,"text":"70204335 - 2019 - An introduction to the “Oceans and Society: Blue Planet” Initiative","interactions":[],"lastModifiedDate":"2019-10-28T09:58:53","indexId":"70204335","displayToPublicDate":"2019-07-17T14:47:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5621,"text":"Journal of Operational Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"An introduction to the “Oceans and Society: Blue Planet” Initiative","docAbstract":"We live on a blue planet, and Earth’s waters benefit many sectors of society. The future of our blue planet is increasingly reliant on the services delivered by marine, coastal and inland waters and on the advancement of effective, evidence-based decisions on sustainable development. “Oceans and Society: Blue Planet” (hereafter denoted as “GEO Blue Planet”) is an initiative of the Group on Earth Observations (GEO) that aims to ensure the sustained development and use of ocean and coastal observations for the benefit of society. GEO Blue Planet works to advance and exploit synergies among the many observational programmes devoted to ocean and coastal waters; to improve engagement with a variety of stakeholders for enhancing the timeliness, quality and range of information delivered; and to raise awareness of the societal benefits of ocean observations at the public and policy levels. This paper summarizes the role of GEO Blue Planet, current activities and considerations for future directions.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1755876X.2019.1634959","usgsCitation":"Smail, E.A., DiGiacomo, P., Seeave, S., Djavidnia, S., Celliers, L., Le Traon, P., Gault, J., Escobar-Briones, E., Plag, H., Pequignet, C., Bajona, L., Zhang, L., Pearlman, J., Steven, A., Hodge, J., Racault, F., Storlazzi, C.D., and Skirving, W., 2019, An introduction to the “Oceans and Society: Blue Planet” Initiative: Journal of Operational Oceanography, v. 12, no. suppl 2, p. s1-s11, https://doi.org/10.1080/1755876X.2019.1634959.","productDescription":"11 p.","startPage":"s1","endPage":"s11","ipdsId":"IP-100533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1755876x.2019.1634959","text":"Publisher Index Page"},{"id":365685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365677,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1080/1755876X.2019.1634959"}],"volume":"12","issue":"suppl 2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Smail, Emily A","contributorId":217219,"corporation":false,"usgs":false,"family":"Smail","given":"Emily","email":"","middleInitial":"A","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiGiacomo, Paul","contributorId":217220,"corporation":false,"usgs":false,"family":"DiGiacomo","given":"Paul","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeave, Sophie","contributorId":217221,"corporation":false,"usgs":false,"family":"Seeave","given":"Sophie","email":"","affiliations":[{"id":39572,"text":"POGO","active":true,"usgs":false}],"preferred":false,"id":766389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Djavidnia, Samy","contributorId":217222,"corporation":false,"usgs":false,"family":"Djavidnia","given":"Samy","email":"","affiliations":[{"id":39573,"text":"EMSA","active":true,"usgs":false}],"preferred":false,"id":766390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Celliers, Louis","contributorId":217223,"corporation":false,"usgs":false,"family":"Celliers","given":"Louis","email":"","affiliations":[{"id":39574,"text":"GERICS","active":true,"usgs":false}],"preferred":false,"id":766391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le Traon, Pierre-Yves","contributorId":213840,"corporation":false,"usgs":false,"family":"Le Traon","given":"Pierre-Yves","email":"","affiliations":[],"preferred":false,"id":766392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gault, Jeremy","contributorId":217224,"corporation":false,"usgs":false,"family":"Gault","given":"Jeremy","email":"","affiliations":[{"id":39575,"text":"MaREI Centre","active":true,"usgs":false}],"preferred":false,"id":766393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Escobar-Briones, Elva","contributorId":217225,"corporation":false,"usgs":false,"family":"Escobar-Briones","given":"Elva","email":"","affiliations":[{"id":39576,"text":"NAUM","active":true,"usgs":false}],"preferred":false,"id":766394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plag, Hans-Peter","contributorId":217226,"corporation":false,"usgs":false,"family":"Plag","given":"Hans-Peter","email":"","affiliations":[{"id":39577,"text":"ODU","active":true,"usgs":false}],"preferred":false,"id":766395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pequignet, Christine","contributorId":217227,"corporation":false,"usgs":false,"family":"Pequignet","given":"Christine","email":"","affiliations":[{"id":39578,"text":"Met Office","active":true,"usgs":false}],"preferred":false,"id":766396,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bajona, Lenore","contributorId":217228,"corporation":false,"usgs":false,"family":"Bajona","given":"Lenore","email":"","affiliations":[{"id":39579,"text":"Dalhouise University","active":true,"usgs":false}],"preferred":false,"id":766397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhang, Lin","contributorId":200219,"corporation":false,"usgs":false,"family":"Zhang","given":"Lin","email":"","affiliations":[],"preferred":false,"id":766398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pearlman, Jay","contributorId":214693,"corporation":false,"usgs":false,"family":"Pearlman","given":"Jay","email":"","affiliations":[{"id":39107,"text":"Four Bridges","active":true,"usgs":false}],"preferred":false,"id":766399,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steven, Andy","contributorId":217229,"corporation":false,"usgs":false,"family":"Steven","given":"Andy","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":766400,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hodge, Jon","contributorId":217230,"corporation":false,"usgs":false,"family":"Hodge","given":"Jon","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":766401,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Racault, Fanny-Mae","contributorId":217231,"corporation":false,"usgs":false,"family":"Racault","given":"Fanny-Mae","email":"","affiliations":[{"id":39580,"text":"Plymouth Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":766402,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"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":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766386,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Skirving, Willam","contributorId":217232,"corporation":false,"usgs":false,"family":"Skirving","given":"Willam","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766403,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70227969,"text":"70227969 - 2019 - Linking demographic and food-web models to understand management trade-offs","interactions":[],"lastModifiedDate":"2022-02-03T18:33:36.936323","indexId":"70227969","displayToPublicDate":"2019-07-17T12:25:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Linking demographic and food-web models to understand management trade-offs","docAbstract":"Alternatives in ecosystem-based management often differ with respect to trade-offs between ecosystem values. Ecosystem or food-web models and demographic models are typically employed to evaluate alternatives, but the approaches are rarely integrated to uncover conflicts between values. We applied multi-state models to a capture-recapture dataset on common guillemots Uria aalge breeding in the Baltic Sea to identify factors influencing survival. The estimated relationships were employed together with Ecopath-with-Ecosim food-web model simulations to project guillemot survival under six future scenarios incorporating climate change. The scenarios were based on management alternatives for eutrophication and cod fisheries, issues considered top priority for regional management, but without known direct effects on the guillemot population. Our demographic models identified prey quantity (abundance and biomass of sprat Sprattus sprattus) as the main factor influencing guillemot survival. Most scenarios resulted in projections of increased survival, in the near (2016-2040) and distant (2060-2085) future. However, in the scenario of reduced nutrient input and precautionary cod fishing, guillemot survival was projected to be lower in both future periods due to lower sprat stocks. Matrix population models suggested a substantial decline of the guillemot population in the near future, 24% per 10 years; and a smaller reduction, 1.1% per 10 years, in the distant future. To date, many stakeholders and Baltic Sea governments have supported reduced nutrient input and precautionary cod fishing and implementation is underway. Negative effects on non-focal-species have previously not been uncovered, but our results show that the scenario is likely to negatively impact the guillemot population. Linking model results allowed identifying trade-offs associated with management alternatives. This information is critical to thorough evaluation by decision-makers, but not easily obtained by food-web models or demographic models in isolation. Appropriate datasets are often available, making it feasible to apply a linked approach for better-informed decisions in ecosystem-based management.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5385","usgsCitation":"Kadin, M., Frederiksen, M., Niiranen, S., and Converse, S.J., 2019, Linking demographic and food-web models to understand management trade-offs: Ecology and Evolution, v. 9, no. 15, p. 8587-8600, https://doi.org/10.1002/ece3.5385.","productDescription":"14 p.","startPage":"8587","endPage":"8600","ipdsId":"IP-095999","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5385","text":"Publisher Index Page"},{"id":395382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Baltic Sea","volume":"9","issue":"15","noUsgsAuthors":false,"publicationDate":"2019-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kadin, Martina","contributorId":274509,"corporation":false,"usgs":false,"family":"Kadin","given":"Martina","email":"","affiliations":[],"preferred":false,"id":833082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frederiksen, Morten","contributorId":96404,"corporation":false,"usgs":true,"family":"Frederiksen","given":"Morten","affiliations":[],"preferred":false,"id":833083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niiranen, Susa","contributorId":274510,"corporation":false,"usgs":false,"family":"Niiranen","given":"Susa","email":"","affiliations":[],"preferred":false,"id":833084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215402,"text":"70215402 - 2019 - Developing and testing physically based triggering thresholds for runoff‐generated debris flows","interactions":[],"lastModifiedDate":"2020-10-18T15:11:44.549573","indexId":"70215402","displayToPublicDate":"2019-07-17T10:08:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Developing and testing physically based triggering thresholds for runoff‐generated debris flows","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Runoff in steep channels is capable of transitioning into debris flows with hazardous implications for downstream communities and infrastructure, particularly in alpine landscapes with minimal vegetation and areas recently disturbed by wildfire. Here, we derive thresholds for the initiation of runoff‐generated debris flows based on critical values of dimensionless discharge and Shields stress. These thresholds are derived by using a numerical model to estimate the hydrodynamic conditions coinciding with the timing of debris flow activity in a recently burned basin. A benefit of hydrodynamic thresholds is that they can be used to assess debris flow likelihood based on measurable hydrologic and geomorphic parameters and therefore provide more universal criteria for quantifying the runoff‐to‐debris flow transition in landscape evolution studies and hazard assessments. We then demonstrate how hydrodynamic thresholds can be used to estimate rainfall intensity‐duration thresholds for runoff‐generated debris flows without the need for historic debris flow observations.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083623","usgsCitation":"Tang, H., McGuire, L.A., Rengers, F.K., Kean, J.W., Staley, D.M., and Smith, J.B., 2019, Developing and testing physically based triggering thresholds for runoff‐generated debris flows: Geophysical Research Letters, v. 46, no. 15, p. 8830-8839, https://doi.org/10.1029/2019GL083623.","productDescription":"10 p.","startPage":"8830","endPage":"8839","ipdsId":"IP-109482","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467446,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083623","text":"Publisher Index Page"},{"id":437384,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F3YTBP","text":"USGS data release","linkHelpText":"Post-wildfire debris-flow monitoring data, Las Lomas, 2016 Fish Fire, Los Angeles County, California, November 2016 to February 2017"},{"id":379501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Gabriel Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.553466796875,\n              34.116352469972746\n            ],\n            [\n              -117.454833984375,\n              34.116352469972746\n            ],\n            [\n              -117.454833984375,\n              34.58347505599177\n            ],\n            [\n              -118.553466796875,\n              34.58347505599177\n            ],\n            [\n              -118.553466796875,\n              34.116352469972746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"15","noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tang, Hui","contributorId":215352,"corporation":false,"usgs":false,"family":"Tang","given":"Hui","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":802041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":802042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802046,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228057,"text":"70228057 - 2019 - Effect of male age structure on reproduction in white-tailed deer","interactions":[],"lastModifiedDate":"2022-02-03T15:39:39.993062","indexId":"70228057","displayToPublicDate":"2019-07-17T09:36:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of male age structure on reproduction in white-tailed deer","docAbstract":"<p><span>Selective harvest regimes that create female-biased sex ratios can potentially lead to delayed breeding, reduced breeding synchrony, reduced productivity, and a female-biased sex ratio of offspring. These resulting changes in breeding behavior and population dynamics have potential to adversely affect population growth. In 2002, Pennsylvania implemented harvest regulation changes that reduced deer density (increased harvest of antlerless deer) and increased the number and age of antlered deer (implemented antler point restriction regulations) that resulted in a less female-biased sex ratio. We monitored date of conception, productivity (embryos/female), and sex ratio of embryos during 1999–2006 to test if timing of breeding occurred earlier and with greater synchrony, if productivity of females increased, and if the sex ratio of offspring would shift towards more males. Deer density decreased 23% and the adult (≥1.5 yr old) sex ratio declined from 2.30 to 1.95 females/male. The ratio of ≥2.5-year-old to 1.5-year-old males shifted towards more older males (1:3.7 in 2002 to 1:1.59 in 2006) and the ≥2.5-year-old male population increased from 41,853 during 1999–2001 to 54,064 by 2006. We found no evidence of any change in the timing or variability of date of conception, productivity, or offspring sex ratio. We conclude that harvest regulation changes implemented in Pennsylvania, USA, were insufficient to affect timing of breeding or population dynamics and that efforts by managers to identify a desired sex ratio or manipulate sex ratios to achieve management goals on a statewide scale will be challenging.&nbsp;</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21712","usgsCitation":"Diefenbach, D.R., Alt, G., Wallingford, B.D., Rosenberry, C., and Long, E.S., 2019, Effect of male age structure on reproduction in white-tailed deer: Journal of Wildlife Management, v. 83, no. 6, p. 1368-1376, https://doi.org/10.1002/jwmg.21712.","productDescription":"9 p.","startPage":"1368","endPage":"1376","ipdsId":"IP-099971","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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D.","contributorId":272189,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":832979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":264500,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":832980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, Eric S.","contributorId":171652,"corporation":false,"usgs":false,"family":"Long","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832981,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205184,"text":"70205184 - 2019 - Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe","interactions":[],"lastModifiedDate":"2019-11-13T13:38:53","indexId":"70205184","displayToPublicDate":"2019-07-17T09:22:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe","docAbstract":"<p><span>In drylands, the coexistence of grasses and woody plants has been attributed to soil‐water resource partitioning. Soil texture and precipitation seasonality can influence the amount and distribution of water in the soil, and their interaction may play an important role in determining the relative importance of grasses and woody plants. We investigated the influence of this interaction on plant functional types across a broad range of precipitation regimes and soil textures in western North America by analyzing plant‐cover data collected at 2,084 plots that included the widespread shrub big sagebrush (</span><i>Artemisia tridentata</i><span>&nbsp;Nutt.). We characterized how the significance of the inverse‐texture effect varies across soil conditions by quantifying relationships between precipitation and foliar cover on finer‐ vs. coarser‐textured soils across a range of potential texture divisions represented by sand content. We found evidence of the inverse‐texture effect for every plant functional type (except for cheatgrass) that we examined with at least one component of precipitation (annual, warm, or cold season), and provide the first evidence for this effect in locations with cold‐season‐dominated precipitation regimes. The texture and precipitation combinations that exhibited the inverse‐texture effect varied with plant functional type, presumably because of effects of soil texture on water availability at different soil depths with season. Furthermore, we found an inverse‐texture effect that was remarkably similar for shrub cover with cold‐season precipitation and grass cover with warm‐season precipitation. These results provide new insight into how the inverse‐texture effect interacts with precipitation seasonality to influence plant functional type composition in drylands, and further suggest that quantifying the soil‐texture division at which the inverse‐texture effect is relevant under a given set of environmental conditions may provide support for the effect across dryland plant communities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2824","usgsCitation":"Renne, R.R., Bradford, J.B., Burke, I.C., and Lauenroth, W.K., 2019, Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe: Ecology, v. 100, no. 11, e02824, https://doi.org/10.1002/ecy.2824.","productDescription":"e02824","ipdsId":"IP-101448","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":367247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.1572265625,\n              48.80686346108517\n            ],\n            [\n              -122.51953124999999,\n              41.96765920367816\n            ],\n            [\n              -121.9482421875,\n              39.977120098439634\n            ],\n            [\n              -119.53125,\n              36.98500309285596\n            ],\n            [\n              -117.333984375,\n              36.24427318493909\n            ],\n            [\n              -105.9521484375,\n              35.85343961959182\n            ],\n            [\n              -104.6337890625,\n              39.842286020743394\n            ],\n            [\n              -103.6669921875,\n              46.40756396630067\n            ],\n            [\n              -104.23828125,\n              48.922499263758255\n            ],\n            [\n              -121.1572265625,\n              48.951366470947725\n            ],\n            [\n              -121.1572265625,\n              48.80686346108517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Renne, Rachel R.","contributorId":213935,"corporation":false,"usgs":false,"family":"Renne","given":"Rachel","email":"","middleInitial":"R.","affiliations":[{"id":38934,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA","active":true,"usgs":false}],"preferred":false,"id":770273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":770274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":770275,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204409,"text":"70204409 - 2019 - FLUXNET-CH4 synthesis activity: Objectives, observations, and future directions","interactions":[],"lastModifiedDate":"2020-04-06T20:55:10.925221","indexId":"70204409","displayToPublicDate":"2019-07-17T08:57:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"FLUXNET-CH4 synthesis activity: Objectives, observations, and future directions","docAbstract":"<p><span>This paper describes the formation of, and initial results for, a new FLUXNET coordination network for ecosystem-scale methane (CH</span><sub>4</sub><span>) measurements at 60 sites globally, organized by the Global Carbon Project in partnership with other initiatives and regional flux tower networks. The objectives of the effort are presented along with an overview of the coverage of eddy covariance (EC) CH</span><sub>4</sub><span>&nbsp;flux measurements globally, initial results comparing CH</span><sub>4</sub><span>&nbsp;fluxes across the sites, and future research directions and needs. Annual estimates of net CH</span><sub>4</sub><span>&nbsp;fluxes across sites ranged from −0.2 ± 0.02 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;for an upland forest site to 114.9 ± 13.4 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;for an estuarine freshwater marsh, with fluxes exceeding 40 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;at multiple sites. Average annual soil and air temperatures were found to be the strongest predictor of annual CH</span><sub>4</sub><span>&nbsp;flux across wetland sites globally. Water table position was positively correlated with annual CH</span><sub>4</sub><span>&nbsp;emissions, although only for wetland sites that were not consistently inundated throughout the year. The ratio of annual CH</span><sub>4</sub><span>&nbsp;fluxes to ecosystem respiration increased significantly with mean site temperature. Uncertainties in annual CH</span><sub>4</sub><span>&nbsp;estimates due to gap-filling and random errors were on average ±1.6 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;at 95% confidence, with the relative error decreasing exponentially with increasing flux magnitude across sites. Through the analysis and synthesis of a growing EC CH</span><sub>4</sub><span>&nbsp;flux database, the controls on ecosystem CH</span><sub>4</sub><span>&nbsp;fluxes can be better understood, used to inform and validate Earth system models, and reconcile differences between land surface model- and atmospheric-based estimates of CH</span><sub>4</sub><span>&nbsp;emissions.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-18-0268.1","usgsCitation":"Knox, S.H., Jackson, R.B., Poulter, B., McNicol, G., Fluet-Chouinard, E., Zhang, Z., Hugelius, G., Bousquet, P., Canadell, J.G., Saunois, M., Papale, D., Chu, H., Keenan, T.F., Baldocchi, D., Torn, M.S., Mammarella, I., Trotta, C., Aurela, M., Bohrer, G., Campbell, D.I., Cescatti, A., Chamberlain, S.D., Chen, J., Chen, W., Dengel, S., Desai, A.R., Euskirchen, E.S., Friborg, T., Gasbarra, D., Goded, I., Goeckede, M., Heimann, M., Helbig, M., Hirano, T., Hollinger, D.Y., Iwata, H., Kang, M., Klatt, J., Krauss, K., Kutzbach, L., Lohila, A., Mitra, B., Morin, T., Nilsson, M.B., Niu, S., Noormets, A., Oechel, W.C., Peichl, M., Peltola, O., Reba, M.L., Richardson, A.D., Runkle, B.R., Ryu, Y., Sachs, T., Schafer, K.V., Schmid, H.P., Shurpali, N., Sonnentag, O., Tang, A., Ueyama, M., Vargas, R., Vesala, T., Ward, E., Windham-Myers, L., Wohlfahrt, G., and Zona, D., 2019, FLUXNET-CH4 synthesis activity: Objectives, observations, and future directions: Bulletin of the American Meteorological Society, v. 100, no. 12, p. 2607-2632, https://doi.org/10.1175/BAMS-D-18-0268.1.","productDescription":"26 p.","startPage":"2607","endPage":"2632","ipdsId":"IP-102319","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":467447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70210079,"text":"70210079 - 2019 - Editorial: Synthetic Aperture Radar and natural hazards: Applications and outlooks","interactions":[],"lastModifiedDate":"2020-05-13T13:34:35.296548","indexId":"70210079","displayToPublicDate":"2019-07-17T08:31:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Synthetic Aperture Radar and natural hazards: Applications and outlooks","docAbstract":"The ability of Synthetic Aperture Radar (SAR) to image the Earth’s surface, even through dense cloud cover and in night-and-day conditions, can facilitate the evaluation and monitoring of natural hazards and the management of natural disasters. The family of SAR satellite sensors orbits the Earth at an altitude ranging from 500 to 800 km, following sun-synchronous, near-polar orbits, slightly inclined with respect to Earth meridians. The most commonly used bands in SAR applications are the C-band (5–6 GHz, ~5,6 cm wavelength), the X-band (8–12 GHz, ~3,1 cm wavelength) and the L-band (1–2 GHz ~23 cm wavelength) with a temporal resolution depending on the satellite revisiting time. The availability of SAR has made a new spectrum of measurements possible on a global and spatial scale not attainable by ground-based studies, revealing critical insights into remote or poorly understood areas (e.g., Biggs et al., 2014). This Research Topics presents a review of articles on the state-of-art in the application of SAR sensors to study surface deformation in different geologic environments and triggered by a variety of processes. The topics discussed range from the analysis of co-seismic deformation (Marryman Boncori) to studies of volcanic unrest (Dzurisin et al., Garthwaite et al.), monitoring of landslides (Bianchini et al.) and ground subsidence in urban areas (Solari et al.).","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2019.00191","collaboration":"","usgsCitation":"Di Traglia, F., Ciampalini, A., Pezzo, G., and Battaglia, M., 2019, Editorial: Synthetic Aperture Radar and natural hazards: Applications and outlooks: Frontiers in Earth Science, v. 7, no. 191, 2 p., https://doi.org/10.3389/feart.2019.00191.","productDescription":"2 p.","ipdsId":"IP-108432","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00191","text":"Publisher Index Page"},{"id":374746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"191","noUsgsAuthors":false,"publicationDate":"2019-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Di Traglia, Federico","contributorId":150264,"corporation":false,"usgs":false,"family":"Di Traglia","given":"Federico","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":789018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciampalini, Andrea","contributorId":224665,"corporation":false,"usgs":false,"family":"Ciampalini","given":"Andrea","email":"","affiliations":[{"id":40907,"text":"Università degli Studi di Pisa","active":true,"usgs":false}],"preferred":false,"id":789019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pezzo, Giuseppe","contributorId":224666,"corporation":false,"usgs":false,"family":"Pezzo","given":"Giuseppe","email":"","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":789020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":789021,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216391,"text":"70216391 - 2019 - Improved implementation of rupture location uncertainty in fault displacement hazard assessment","interactions":[],"lastModifiedDate":"2020-11-13T22:58:59.112024","indexId":"70216391","displayToPublicDate":"2019-07-16T16:58:45","publicationYear":"2019","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":"Improved implementation of rupture location uncertainty in fault displacement hazard assessment","docAbstract":"<p><span>This short note proposes an improvement to the implementation of uncertainty associated with rupture location from future earthquakes in probabilistic fault displacement hazard analysis. Location uncertainty leads to nonzero primary fault displacement near a mapped fault. With the improved implementation of location uncertainty, estimated fault displacement hazard at a given site is affected strongly by the dimension of the area considered (or the footprint size of the structure). A larger area near a mapped fault has greater potential of exhibiting primary fault displacement than does a smaller area at the same location. In addition, fault displacement hazard is affected by fault‐map quality and fault‐trace complexity. For a more accurately mapped fault with simpler geometry, larger fault displacement is expected directly over and in close proximity of the mapped fault. If fault location is highly uncertain and fault traces are complex, expected displacement is spread out in a wider zone along the mapped fault.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180305","usgsCitation":"Chen, R., and Petersen, M.D., 2019, Improved implementation of rupture location uncertainty in fault displacement hazard assessment: Bulletin of the Seismological Society of America, v. 109, no. 5, p. 2132-2137, https://doi.org/10.1785/0120180305.","productDescription":"6 p.","startPage":"2132","endPage":"2137","ipdsId":"IP-106912","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":380522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":804884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":804885,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204288,"text":"70204288 - 2019 - Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen Ice Shelf calving event and iceberg formation","interactions":[],"lastModifiedDate":"2019-12-22T14:32:42","indexId":"70204288","displayToPublicDate":"2019-07-16T14:04:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen Ice Shelf calving event and iceberg formation","docAbstract":"On 7 April 2016, the Nansen Ice Shelf (NIS) front calved into two icebergs, the first large-scale calving event in >30 years. Three hydrophone moorings were deployed seaward of the NIS in December 2015 and over the following months recorded hundreds of short duration, broadband (10-400 Hz) cryogenic signals, likely caused by fracturing of the ice-shelf. The majority of these icequakes occur between January and early March 2016, several weeks prior to the calving observed by satellite on 7 April. Barometric pressure and wind speed records show the day the icebergs drifted from the NIS coincided with the largest low-pressure storm system recorded in the previous 7 months. A nearby seismic station also shows an increase in low-frequency energy, harmonic tremor, and microseisms on 7 April. Our interpretation is the northern segment of the NIS leading edge broke free during mid-January to February, producing high acoustic energy, but the icebergs remained stationary until the combination of a strong low-pressure system, with high winds freed the icebergs. As the unpinning of Antarctic ice shelves is not a well-documented process, our observations show that storm systems may play an under-appreciated role in Antarctic ice shelf break-up.","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2019.00183","usgsCitation":"Dziak, R., Lee, W.S., Haxel, J., Matsumoto, H., Tepp, G., Lau, T., Roche, L., Yun, S., Lee, C.K., Lee, J.Y., and Yoon, S., 2019, Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen Ice Shelf calving event and iceberg formation: Frontiers in Earth Science, v. 7, 183, 12p., https://doi.org/10.3389/feart.2019.00183.","productDescription":"183, 12p.","ipdsId":"IP-101623","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00183","text":"Publisher Index Page"},{"id":365680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Nansen Ice Shelf","volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Dziak, Robert","contributorId":217088,"corporation":false,"usgs":false,"family":"Dziak","given":"Robert","affiliations":[{"id":39567,"text":"NOAA/PMEL","active":true,"usgs":false}],"preferred":false,"id":766313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, W. S.","contributorId":217089,"corporation":false,"usgs":false,"family":"Lee","given":"W.","email":"","middleInitial":"S.","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":766314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haxel, Joe","contributorId":217090,"corporation":false,"usgs":false,"family":"Haxel","given":"Joe","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matsumoto, Haru","contributorId":217091,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Haru","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":766312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lau, T-K","contributorId":217092,"corporation":false,"usgs":false,"family":"Lau","given":"T-K","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roche, Lauren","contributorId":217093,"corporation":false,"usgs":false,"family":"Roche","given":"Lauren","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yun, S H","contributorId":131062,"corporation":false,"usgs":false,"family":"Yun","given":"S H","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":766319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, C. K.","contributorId":217094,"corporation":false,"usgs":false,"family":"Lee","given":"C.","email":"","middleInitial":"K.","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":766320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lee, J. Y.","contributorId":195962,"corporation":false,"usgs":false,"family":"Lee","given":"J.","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":766321,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yoon, S.T.","contributorId":217095,"corporation":false,"usgs":false,"family":"Yoon","given":"S.T.","email":"","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":766322,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70205794,"text":"70205794 - 2019 - Northern forest winters have lost cold, snowy conditions that are important for ecosystems and human communities","interactions":[],"lastModifiedDate":"2022-10-31T14:25:59.788884","indexId":"70205794","displayToPublicDate":"2019-07-16T13:40:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Northern forest winters have lost cold, snowy conditions that are important for ecosystems and human communities","docAbstract":"Winter is an understudied but key period for the socio-ecological systems of northeastern North American forests. A growing awareness of the importance of the winter season to forest ecosystems and surrounding communities has inspired several decades of research, both across the northern forest and at other mid- and high-latitude ecosystems around the globe. Despite these efforts, we lack a synthetic understanding of how winter climate change may impact hydrological and biogeochemical processes and the social and economic activities they support. Here we take advantage of 100 years of meteorological observations across the northern forest region of the northeastern U.S. and eastern Canada to develop a suite of indicators that enable a cross-cutting understanding of\n1) how winter temperatures and snow cover have been changing and 2) how these shifts may impact both ecosystems and surrounding human communities. We show that cold and snow-covered conditions have generally decreased over the past 100 years. These trends suggest positive outcomes for tree health as related to reduced fine root mortality and nutrient loss associated with winter frost but negative outcomes as related to the northward advancement and proliferation of forest insect pests. In addition to effects on vegetation, reductions in cold temperatures and snow cover are likely to have negative impacts on the ecology of the northern forest through impacts on water, soils, and wildlife. The overall loss of coldness and snow cover may also have negative consequences for logging and forest products, vector-borne diseases and human health, recreation and tourism, and cultural practices, which together represent important social and economic dimensions for the northern forest region. These findings advance our understanding of how our changing winters may transform the socio- ecological system of a region that has been defined by the contrasting rhythm of the seasons. Our research also identifies a trajectory of change that informs our expectations for the future as the climate continues to warm.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1974","usgsCitation":"Contosta, A.R., Casson, N.J., Garlick, S., Nelson, S.J., Ayers, M.P., Buralkowski, E.A., Campbell, J., Creed, I., Eimers, C., Evans, C., Fernandez, I., Fuss, C., Huntington, T., Pate, K., Sanders-DeMott, R., Son, K., Templer, P.H., and Thornbrugh, D., 2019, Northern forest winters have lost cold, snowy conditions that are important for ecosystems and human communities: Ecological Applications, v. 29, no. 7, e01974, 24 p., https://doi.org/10.1002/eap.1974.","productDescription":"e01974, 24 p.","ipdsId":"IP-103560","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":467450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1974","text":"Publisher Index 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,{"id":70204992,"text":"70204992 - 2019 - Intensity and impact of the New York Railroad superstorm of May 1921","interactions":[],"lastModifiedDate":"2019-09-16T12:40:57","indexId":"70204992","displayToPublicDate":"2019-07-16T12:17:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Intensity and impact of the New York Railroad superstorm of May 1921","docAbstract":"<p><span>Analysis is made of low‐latitude ground‐based magnetometer data recording the magnetic superstorm of May 1921. By inference, the storm was driven by a series of interplanetary coronal mass ejections, one of which produced a maximum pressure on the magnetopause of ~64.5 nPa, sufficient to compress the subsolar magnetopause radius to ~5.3 Earth radii. Over the course of the storm, low‐latitude geomagnetic disturbance exhibited extreme local time (longitude) asymmetry that can be attributed to substorm disturbance extending to low latitudes. The storm attained an estimated maximum −</span><i>Dst</i><span>&nbsp;on 15 May of 907 ± 132 nT, an intensity comparable to that of the Carrington event of 1859. The May 1921 storm brought spectacular aurorae to the nighttime sky. It also interfered with and damaged telephone and telegraph systems associated with railroad systems in New York City and State. These later effects were due to a combination of three factors: the localized details of geomagnetic vector disturbance, the geographic expression of the Earth's surface impedance tensor, and the configurations and physical parameters of the electrical networks of the day.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2019SW002250","usgsCitation":"Love, J.J., Hayakawa, H., and Cliver, E.W., 2019, Intensity and impact of the New York Railroad superstorm of May 1921: Space Weather, v. 17, no. 8, p. 1281-1292, https://doi.org/10.1029/2019SW002250.","productDescription":"12 p.","startPage":"1281","endPage":"1292","ipdsId":"IP-109181","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":460329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019sw002250","text":"Publisher Index 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Campus","active":true,"usgs":false}],"preferred":false,"id":769478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cliver, Edward W.","contributorId":215232,"corporation":false,"usgs":false,"family":"Cliver","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":39212,"text":"National Solar Observatory","active":true,"usgs":false}],"preferred":false,"id":769479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206023,"text":"70206023 - 2019 - Geographic context affects the landscape change and fragmentation caused by wind energy facilities","interactions":[],"lastModifiedDate":"2020-01-20T12:11:36","indexId":"70206023","displayToPublicDate":"2019-07-16T11:31:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Geographic context affects the landscape change and fragmentation caused by wind energy facilities","docAbstract":"Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. Limiting the landscape change and fragmentation caused by these facilities likely minimizes impacts to biodiversity and sensitive wildlife species. We examined the effects of wind energy facilities’ geographic context on changes in landscape patterns. We digitized the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery. We then measured landscape pattern before and after facility construction using 3 metrics associated with species responses to habitat loss and fragmentation (amount, core area, and connectivity of undeveloped land) within 1km around newly constructed turbines and roads. New facilities decreased the amount of undeveloped land, on average, by just 1.8% while changes in metrics of landscape pattern were relatively much larger (50 to 140%). Statistical models indicated levels of pre-construction development were a key factor explaining the impact of new wind facilities on landscape metrics, with pre-construction road networks, turbine spacing, and topography having smaller influences. As the proportion of developed land around facilities increased, a higher proportion of the facility utilized pre-construction developed land and a lower density of new roads were built, resulting in smaller impacts to undeveloped landscapes. Building of new road networks was also a predictor of landscape fragmentation. Density of new roads was higher in places with little pre-existing development and may be influenced by facility design. Utilizing existing development and carefully placing turbines may provide opportunities to minimize the impacts of new wind energy facilities.","language":"English","doi":"10.7717/peerj.7129","collaboration":"None","usgsCitation":"Diffendorfer, J., Dorning, M., Keen, J., Kramer, L., and Taylor, R., 2019, Geographic context affects the landscape change and fragmentation caused by wind energy facilities: PeerJ, v. 7, e7129, 23p., https://doi.org/10.7717/peerj.7129.","productDescription":"e7129, 23p.","ipdsId":"IP-092054","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467452,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.7129","text":"Publisher Index Page"},{"id":437385,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7639NZB","text":"USGS data release","linkHelpText":"Data release for Geographic context affects the landscape change and fragmentation caused by wind energy facilities"},{"id":368384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368371,"type":{"id":15,"text":"Index Page"},"url":"https://peerj.com/articles/7129"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                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]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":773320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keen, Jolene 0000-0003-4962-6613","orcid":"https://orcid.org/0000-0003-4962-6613","contributorId":219835,"corporation":false,"usgs":false,"family":"Keen","given":"Jolene","email":"","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":773322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Louisa 0000-0002-6776-9768","orcid":"https://orcid.org/0000-0002-6776-9768","contributorId":204878,"corporation":false,"usgs":true,"family":"Kramer","given":"Louisa","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Robert 0000-0001-5137-6874","orcid":"https://orcid.org/0000-0001-5137-6874","contributorId":219836,"corporation":false,"usgs":true,"family":"Taylor","given":"Robert","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204748,"text":"70204748 - 2019 - Individual behaviour and resource use of thermally stressed brook trout Salvelinus fontinalis portend the conservation potential of thermal refugia","interactions":[],"lastModifiedDate":"2019-10-28T10:09:54","indexId":"70204748","displayToPublicDate":"2019-07-16T10:17:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Individual behaviour and resource use of thermally stressed brook trout <i>Salvelinus fontinalis</i> portend the conservation potential of thermal refugia","title":"Individual behaviour and resource use of thermally stressed brook trout Salvelinus fontinalis portend the conservation potential of thermal refugia","docAbstract":"<p><span>Individual aggression and thermal refuge use were monitored in brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in a controlled laboratory to determine how fish size and personality influence time spent in forage and thermal habitat patches during periods of thermal stress. On average, larger and more exploratory fish initiated more aggressive interactions and across all fish there was decreased aggression at warmer temperatures. Individual personality did not explain changes in aggression or habitat use with increased temperature; however, larger individuals initiated comparatively fewer aggressive interactions at warmer temperatures. Occupancy of forage patches generally declined as ambient stream temperatures approached critical maximum and fish increased thermal refuge use, with a steeper decline in forage patch occupancy observed in larger fish. These findings suggest that larger individuals may be more vulnerable to stream temperature rise. Importantly, even at thermally stressful temperatures, all fish periodically left the thermal refuge to forage. This indicates that the success of refugia at increasing population survival during periods of stream temperature rise may depend on the location of thermal refugia relative to forage locations within the larger habitat mosaic. These results provide insights into the potential for thermal refugia to improve population survival and can be used to inform predictions of population vulnerability to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14099","usgsCitation":"White, S.L., Kline, B., Hitt, N., and Wagner, T., 2019, Individual behaviour and resource use of thermally stressed brook trout Salvelinus fontinalis portend the conservation potential of thermal refugia: Journal of Fish Biology, v. 95, no. 4, p. 1061-1071, https://doi.org/10.1111/jfb.14099.","productDescription":"11 p.","startPage":"1061","endPage":"1071","ipdsId":"IP-103472","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.14099","text":"Publisher Index Page"},{"id":366562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L.","contributorId":205430,"corporation":false,"usgs":false,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kline, B.C.","contributorId":218090,"corporation":false,"usgs":false,"family":"Kline","given":"B.C.","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":218089,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":768294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":218091,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":768297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203977,"text":"ofr20191077 - 2019 - Triangle area water supply monitoring project, North Carolina-Summary of monitoring activities, quality assurance, and data, October 2015–September 2017","interactions":[],"lastModifiedDate":"2019-07-17T11:27:46","indexId":"ofr20191077","displayToPublicDate":"2019-07-16T09:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1077","displayTitle":"Triangle Area Water Supply Monitoring Project, North Carolina—Summary of Monitoring Activities, Quality Assurance, and Data, October 2015–September 2017","title":"Triangle area water supply monitoring project, North Carolina-Summary of monitoring activities, quality assurance, and data, October 2015–September 2017","docAbstract":"<p>Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, during October 2015 through September 2016 (water year 2016) and October 2016 through September 2017 (water year 2017). Major findings for this period include the following:</p><ul><li>More than 5,000 individual measurements of water quality were made at a total of 20 sites—7 in the Neuse River Basin and 13 in the Cape Fear River Basin. Only the measurements from the photic zone and 1 meter below the water surface are documented in this report.</li><li>Twenty-nine water-quality properties or constituents are presented in this report; State water-quality thresholds exist for 11 of these.</li><li>All observations met State water-quality thresholds for hardness, chloride, fluoride, sulfate, and nitrate plus nitrite.</li><li>North Carolina water-quality thresholds were exceeded one or more times for dissolved oxygen, dissolved-oxygen percent saturation, pH, water temperature, turbidity, and chlorophyll <i>a</i>.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191077","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"Pfeifle, C.A., Cain, J.L., and Rasmussen, R.B., 2019, Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2015–September 2017: U.S. Geological Survey Open-File Report 2019–1077, 16 p., https://doi.org/10.3133/ofr20191077.","productDescription":"Report: iv, 16 p.; Table; Data Relase","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092956","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":365534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1077/ofr20191077.pdf","text":"Report","size":"2.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1077"},{"id":365532,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71Z43MD","text":"USGS data release","description":"USGS data release","linkHelpText":"Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2015–September 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Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>720 Gracern Road<br>Stephenson Center, Suite 129<br>Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Monitoring Network</li><li>Quality Assurance</li><li>Streamflow</li><li>Water Quality</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-07-16","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pfeifle, Cassandra A. 0000-0001-5002-1625 cmendoza@usgs.gov","orcid":"https://orcid.org/0000-0001-5002-1625","contributorId":198960,"corporation":false,"usgs":true,"family":"Pfeifle","given":"Cassandra","email":"cmendoza@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, Jessica L. 0000-0002-0563-8586 jcain@usgs.gov","orcid":"https://orcid.org/0000-0002-0563-8586","contributorId":198959,"corporation":false,"usgs":true,"family":"Cain","given":"Jessica","email":"jcain@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, Ryan B. 0000-0003-3059-5511 rbrasmus@usgs.gov","orcid":"https://orcid.org/0000-0003-3059-5511","contributorId":198961,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Ryan","email":"rbrasmus@usgs.gov","middleInitial":"B.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204535,"text":"70204535 - 2019 - Application of multiple-population viability analysis to evaluate species recovery alternatives","interactions":[],"lastModifiedDate":"2020-04-06T20:57:23.05112","indexId":"70204535","displayToPublicDate":"2019-07-16T07:30:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Application of multiple-population viability analysis to evaluate species recovery alternatives","docAbstract":"Population viability analysis (PVA) is a powerful conservation tool, but one that remains unapproachable for many species.  This is particularly true for species with multiple, broadly-distributed populations for which collecting suitable data can be challenging.  A recently-developed method of multiple population viability analysis (MPVA), however, addresses many limitations of traditional PVA.  We build on previous development of MPVA for Lahontan cutthroat trout (LCT), a species listed under the US Endangered Species Act which is distributed broadly across habitat fragments in the Great Basin, USA.  We simulated potential management scenarios and assessed their effects on population sizes and extinction risks in 211 streams where LCT exist or may be reintroduced.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13385","usgsCitation":"Neville, H.M., Leasure, D.R., Dauwalter, D.C., Dunham, J.B., Bjork, R., Fesenmyer, K.A., Chelgren, N., Peacock, M.M., Luce, C.H., Isaak, D.J., Carranza, L.A., Sjoberg, J., and Wenger, S., 2019, Application of multiple-population viability analysis to evaluate species recovery alternatives: Conservation Biology, v. 34, no. 2, p. 482-493, https://doi.org/10.1111/cobi.13385.","productDescription":"12 p.","startPage":"482","endPage":"493","ipdsId":"IP-102725","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Neville, Helen M.","contributorId":214338,"corporation":false,"usgs":false,"family":"Neville","given":"Helen","email":"","middleInitial":"M.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dauwalter, Daniel C.","contributorId":214339,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjork, Robin","contributorId":214340,"corporation":false,"usgs":false,"family":"Bjork","given":"Robin","email":"","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fesenmyer, Kurt A.","contributorId":214341,"corporation":false,"usgs":false,"family":"Fesenmyer","given":"Kurt","email":"","middleInitial":"A.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":767441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peacock, Mary M.","contributorId":167605,"corporation":false,"usgs":false,"family":"Peacock","given":"Mary","email":"","middleInitial":"M.","affiliations":[{"id":24774,"text":"Department of Natural Resources, College of Agriculture and Life","active":true,"usgs":false}],"preferred":false,"id":767442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luce, Charles H.","contributorId":177837,"corporation":false,"usgs":false,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":767443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":767444,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carranza, Lee Ann","contributorId":217753,"corporation":false,"usgs":false,"family":"Carranza","given":"Lee","email":"","middleInitial":"Ann","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":767445,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sjoberg, Jon","contributorId":217754,"corporation":false,"usgs":false,"family":"Sjoberg","given":"Jon","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":767446,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":767447,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70248318,"text":"70248318 - 2019 - Influences of potential oil and gas development and future climate on Sage-grouse declines and redistribution","interactions":[],"lastModifiedDate":"2024-05-16T15:31:39.363715","indexId":"70248318","displayToPublicDate":"2019-07-16T06:52:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Influences of potential oil and gas development and future climate on Sage-grouse declines and redistribution","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Multiple environmental stressors impact wildlife populations, but we often know little about their cumulative and combined influences on population outcomes. We generally know more about past effects than potential future impacts, and direct influences such as changes of habitat footprints than indirect, long-term responses in behavior, distribution, or abundance. Yet, an understanding of all these components is needed to plan for future landscapes that include human activities and wildlife. We developed a case study to assess how spatially explicit individual-based modeling could be used to evaluate future population outcomes of gradual landscape change from multiple stressors. For Greater Sage-grouse in southwest Wyoming, USA, we projected oil and gas development footprints and climate-induced vegetation changes 50 years into the future. Using a time-series of planned oil and gas development and predicted climate-induced changes in vegetation, we recalculated habitat selection maps to dynamically modify future habitat quantity, quality, and configuration. We simulated long-term Sage-grouse responses to habitat change by allowing individuals to adjust to shifts in habitat availability and quality. The use of spatially explicit individual-based modeling offered a useful means of evaluating delayed indirect impacts of landscape change on wildlife population outcomes. The inclusion of movement and demographic responses to oil and gas infrastructure resulted in substantive changes in distribution and abundance when cumulated over several decades and throughout the regional population. When combined, additive development and climate-induced vegetation changes reduced abundance by up to half of the original size. In our example, the consideration of only a single population stressor the final possible population size by as much as 50%. Multiple stressors and their cumulative impacts need to be broadly considered through space and time to avoid underestimating the impacts of multiple gradual changes and overestimating the ability of populations to withstand change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/eap.1912","usgsCitation":"Heinrichs, J.A., O’Donnell, M.S., Aldridge, C.L., Garman, S.L., and Homer, C.G., 2019, Influences of potential oil and gas development and future climate on Sage-grouse declines and redistribution: Ecological Applications, v. 29, no. 6, e01912, 16 p., https://doi.org/10.1002/eap.1912.","productDescription":"e01912, 16 p.","ipdsId":"IP-101540","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437386,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GRF34E","text":"USGS data release","linkHelpText":"Influences of Potential Oil and Gas Development and Future Climate on Sage-Grouse Declines and Redistribution"},{"id":420612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.19262705318685,\n              43.34205527106326\n            ],\n            [\n              -111.19262705318685,\n              40.99843719341089\n            ],\n            [\n              -106.18500996030774,\n              40.99843719341089\n            ],\n            [\n              -106.18500996030774,\n              43.34205527106326\n            ],\n            [\n              -111.19262705318685,\n              43.34205527106326\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":882536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":882537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":882538,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204498,"text":"70204498 - 2019 - Spatial capture-recapture reveals age- and sex-specific survival and movement in stream amphibians","interactions":[],"lastModifiedDate":"2019-08-29T11:58:54","indexId":"70204498","displayToPublicDate":"2019-07-15T15:17:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Spatial capture-recapture reveals age- and sex-specific survival and movement in stream amphibians","docAbstract":"Life history information sets the foundation for our understanding of ecology and conservation requirements. For many species, this information is lacking even for basic demographic rates such as survival and movement. When survival and movement estimates are available, they are often derived from mixed demographic groups and do not consider differences among life stages or sexes, which is critical because life stages and sexes often contribute differentially to population dynamics. We used hierarchical models informed with spatial capture-mark-recapture data of Ascaphus montanus (Rocky Mountain tailed frog) in 5 streams and A. truei (coastal tailed frog) in 1 stream to estimate variation in survival and movement by sex and age, represented by size. By incorporating survival and movement into a single model, we were able to estimate both parameters with limited bias. Annual survival was similar between sexes of A. montanus (females = 0.885 [95% CI: 0.614–1], males = 0.901 [0.657–1]), but was slightly higher for female A. truei (0.836 [0.560–0.993]) than for males (0.664 [0.354–0.962]). Survival of A. montanus peaked at mid-age, suggesting that lower survival of young and actuarial senescence may influence population demographics. Our models suggest that younger A. montanus moved farther than older individuals, and that females moved farther than males in both species. Our results provide uncommon insight into age- and sex-specific rates of survival and movement that are crucial elements of life-history strategies and are important for modeling population growth and prescribing conservation actions.","language":"English","publisher":"Springer","doi":"10.1007/s00442-019-04464-3","usgsCitation":"Honeycutt, R.K., Garwood, J.M., Lowe, W.H., and Hossack, B.R., 2019, Spatial capture-recapture reveals age- and sex-specific survival and movement in stream amphibians: Oecologia, v. 190, no. 4, p. 821-833, https://doi.org/10.1007/s00442-019-04464-3.","productDescription":"13 p.","startPage":"821","endPage":"833","ipdsId":"IP-086212","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":366004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366002,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/content/pdf/10.1007%2Fs00442-019-04464-3.pdf"}],"volume":"190","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":767262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garwood, Justin M","contributorId":217674,"corporation":false,"usgs":false,"family":"Garwood","given":"Justin","email":"","middleInitial":"M","affiliations":[{"id":39681,"text":"California Dept fish wildlife","active":true,"usgs":false}],"preferred":false,"id":767263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":767264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767265,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204307,"text":"70204307 - 2019 - Biocrust science and global change","interactions":[],"lastModifiedDate":"2019-07-17T14:31:43","indexId":"70204307","displayToPublicDate":"2019-07-15T14:30:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Biocrust science and global change","docAbstract":"Global environmental changes such as climate and land‐use change affect ecosystems worldwide, and this New Phytologist Virtual Issue brings together fundamental research questions and novel approaches associated with the study of biological soil crusts in the context of such shifts. In a changing world, organisms can display a limited set of responses that will determine their persistence over varied spatial and temporal scales. Specifically, organisms might tolerate the change – for example, via phenotypic plasticity – and remain present in local communities. Alternatively, organisms might shift or retract their range to match their historical niche, they may adapt to the directional selection pressures imposed by change, or they could be driven to local (and possibly global) extinction. Efforts to understand which of these responses particular plant species or assemblages will exhibit are necessary for predicting changes in ecosystem functioning and trophic interactions under global change scenarios, and for managing and supporting sustainable terrestrial ecosystems. Accordingly, the assessment of plant responses to global change has become a significant research focus. Despite this impressive effort, our understanding and combined work to measure the responses to global change for species and communities of nonvascular autotrophs, such as the cyanobacteria, lichens, and bryophytes that form biological soil crusts (Fig. 1), remain rare compared with the large focus on vascular plants (Fig. 2; Reed et al., 2016). Nevertheless, these nonvascular photosynthetic communities and their responses to change could have critical implications for determining ecosystem structure and function at the global‐scale (Elbert et al., 2012; Ferrenberg et al., 2017; Rodriguez‐Caballero et al., 2018).","language":"English","publisher":"Wiley, New Phytologist Trust","doi":"10.1111/nph.15992","usgsCitation":"Reed, S.C., Delgado-Baquerizo, M., and Ferrenberg, S., 2019, Biocrust science and global change: New Phytologist, v. 223, no. 3, p. 1047-1051, https://doi.org/10.1111/nph.15992.","productDescription":"5 p.","startPage":"1047","endPage":"1051","ipdsId":"IP-108591","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.15992","text":"Publisher Index Page"},{"id":365682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":766331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delgado-Baquerizo, Manuel","contributorId":214645,"corporation":false,"usgs":false,"family":"Delgado-Baquerizo","given":"Manuel","email":"","affiliations":[{"id":39101,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":766332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":766333,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204134,"text":"fs20193002 - 2019 - Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018","interactions":[],"lastModifiedDate":"2019-07-16T09:12:25","indexId":"fs20193002","displayToPublicDate":"2019-07-15T13:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3002","displayTitle":"Assessment of Continuous Oil Resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018","title":"Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018","docAbstract":"<p>The U.S. Geological Survey (USGS) quantitatively assessed the&nbsp;potential for undiscovered, technically recoverable continuous oil and gas&nbsp;resources in the Eastern Great Basin Province (Anna and others, 2007) of&nbsp;Nevada, Utah, and Idaho (fig. 1). The assessment focused on the area of&nbsp;the province between the Roberts Mountains and Sevier thrust systems&nbsp;(Peterson, 1994). The major petroleum source rocks within this area are the&nbsp;Upper Devonian–Lower Mississippian Pilot Shale and the Mississippian&nbsp;Chainman Formation (Gutschick and Rodriquez, 1979; Poole and Claypool,&nbsp;1984; Giles, 1994; Trexler and others, 1995). The geologic model applied&nbsp;to the Pilot Shale and shales in the Chainman Formation is for these shales&nbsp;to have achieved generative maturity for oil by burial to at least 8,700 feet&nbsp;(2,652 meters) within some of the Neogene extensional basins (Grabb, 1994;&nbsp;Anna and others, 2007). Areas that satisfy this depth requirement were&nbsp;defined using modeled gravity data that were calibrated to the petroleum&nbsp;system in Railroad Valley and Pine Valley in Nevada (Barker and Peterson,&nbsp;1991; Ïnan and Davis, 1994; Meissner, 1995; Anna and others, 2007).&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193002","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Gaswirth, S.B., Marra, K.R., Le, P.A., Brownfield, M.E., Leathers-Miller, H.M., Drake, R.M., II, and Kinney, S.A., 2019, Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018: U.S. Geological Survey Fact Sheet 2019–3002, 2 p., https://doi.org/10.3133/fs20193002.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-101431","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":365379,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3002/coverthb.jpg"},{"id":365364,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3002/fs20193002.pdf","text":"Report","size":"660 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3002"}],"country":"United States","state":"Idaho, Nevada, Utah","otherGeospatial":"Eastern Great Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.02636718749999,\n              42.00032514831621\n            ],\n            [\n              -117.0703125,\n              36.77409249464195\n            ],\n            [\n              -114.60937499999999,\n              34.994003757575776\n    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PSC"},"publishedDate":"2019-07-15","noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science 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Center","active":true,"usgs":true}],"preferred":true,"id":765662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765663,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765664,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765665,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765666,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765689,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70204603,"text":"70204603 - 2019 - Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks","interactions":[],"lastModifiedDate":"2019-08-07T09:02:37","indexId":"70204603","displayToPublicDate":"2019-07-15T11:10:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks","docAbstract":"Estimation of low flows in rivers continues to be a vexing problem despite advances\nin statistical and process‐based hydrological models. We develop a method to\nestimate minimum streamflow at seasonal to annual timescales from measured\nstreamflow based on regional similarity in the deviations of daily streamflow from\nminimum streamflow for a period of interest. The method is applied to 1,019 gauged\nsites in the Western United States for June to December 2015. The gauges were\nclustered into six regions with distinct timing and magnitude of low flows. A gamma\ndistribution was fit each day to the deviations in specific discharge (daily streamflow\ndivided by drainage area) from minimum specific discharge for gauges in each region.\nThe Kolmogorov–Smirnov test identified days when the gamma distribution was\nadequate to represent the distribution of deviations in a region. The performance\nof the gamma distribution was evaluated at gauges by comparing daily estimates of\nminimum streamflow with estimates from area‐based regression relations for minimum\nstreamflow. Each region had at least 8 days during the period when streamflow\nmeasurements would provide better estimates than the regional regression equation,\nbut the number of such days varied by region depending on aridity and homogeneity\nof streamflow within the region. Synoptic streamflow measurements at ungauged\nsites have value for estimating minimum streamflow and improving the spatial\nresolution of hydrological model in regions with streamflow‐gauging networks.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13452","usgsCitation":"Konrad, C., 2019, Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks: Hydrological Processes, v. 33, no. 15, p. 2057-2067, https://doi.org/10.1002/hyp.13452.","productDescription":"11 p.","startPage":"2057","endPage":"2067","ipdsId":"IP-094109","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":366292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366279,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.13452"}],"volume":"33","issue":"15","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":217885,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767745,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}