{"pageNumber":"996","pageRowStart":"24875","pageSize":"25","recordCount":184717,"records":[{"id":70184307,"text":"cir1427 - 2017 - U.S. Geological Survey Cooperative Fish and Wildlife Research Units Program—2016–2017 Research Abstracts","interactions":[],"lastModifiedDate":"2017-08-23T14:31:34","indexId":"cir1427","displayToPublicDate":"2017-04-20T15:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1427","title":"U.S. Geological Survey Cooperative Fish and Wildlife Research Units Program—2016–2017 Research Abstracts","docAbstract":"<p>The U.S. Geological Survey (USGS) has several strategic goals that focus its efforts on serving the American people. The USGS Ecosystems Mission Area has responsibility for the following objectives under the strategic goal of “Science to Manage and Sustain Resources for Thriving Economies and Healthy Ecosystems”:</p><ul><li>Understand, model, and predict change in natural systems</li><li>Conserve and protect wildlife and fish species and their habitats</li><li>Reduce or eliminate the threat of invasive species and wildlife disease</li></ul><p>This report provides abstracts of the majority of ongoing research investigations of the USGS Cooperative Fish and Wildlife Research Units program and is intended to complement the 2016 Cooperative Research Units Program Year in Review Circular 1424 (<a href=\"https://doi.org/10.3133/cir1424\" data-mce-href=\"https://doi.org/10.3133/cir1424\">https://doi.org/10.3133/cir1424</a>). The report is organized by the following major science themes that contribute to the objectives of the USGS:</p><ul><li>Advanced Technologies</li><li>Climate Science</li><li>Decision Science</li><li>Ecological Flows</li><li>Ecosystem Services</li><li>Endangered Species Conservation, Recovery, and Proactive Strategies</li><li>Energy</li><li>Human Dimensions</li><li>Invasive Species</li><li>Landscape Ecology</li><li>Species of Greatest Conservation Need</li><li>Species Population, Habitat, and Harvest Management</li><li>Wildlife Health and Disease</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1427","usgsCitation":"Dennerline, D.E., and Childs, D.E., eds., 2017, U.S. Geological Survey Cooperative Fish and Wildlife Research Units program—2016–2017 research abstracts (ver. 1.1, May 2017): U.S. Geological Survey Circular 1427, 164 p.,  https://doi.org/10.3133/cir1427.","productDescription":"iv, 164 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States\"}}]}","edition":"Version 1: Originally posted April 20, 2017; Version 1.1: May 2017","contact":"<p>Chief, Cooperative Fish and Wildlife Research Units Program<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> MS 303 National Center<br> Reston, VA 20192<br> <a href=\"https://www.coopunits.org/\" data-mce-href=\"https://www.coopunits.org/\">https://www.coopunits.org/</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Project Abstracts</li><li>List of Projects</li><li>List of Species</li><li>Contact Information for Cooperative Fish and Wildlife Research Units&nbsp;</li><li>Additional Contact Information</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-04-20","revisedDate":"2017-05-22","noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"58f9c8cbe4b0b7ea545240e4","contributors":{"editors":[{"text":"Dennerline, Donald E. 0000-0001-8345-315X don_dennerline@usgs.gov","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":187565,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald E.","email":"don_dennerline@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":691314,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Childs, Dawn E.  0000-0001-8544-9517 dchilds@usgs.gov","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":187564,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn E. ","email":"dchilds@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":691315,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70179441,"text":"ofr20161206 - 2017 - Longshore water-current velocity and the potential for transport of contaminants—A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park beaches, Erie, Pennsylvania, June and August 2015","interactions":[],"lastModifiedDate":"2017-04-21T13:28:13","indexId":"ofr20161206","displayToPublicDate":"2017-04-20T13:45:00","publicationYear":"2017","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":"2016-1206","title":"Longshore water-current velocity and the potential for transport of contaminants—A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park beaches, Erie, Pennsylvania, June and August 2015","docAbstract":"<p>Bacteria-driven restrictions and (or) advisories on swimming at beaches in Presque Isle State Park (PISP), Erie, Pennsylvania, can occur during the summer months. One of the suspected sources of bacteria is sediment. A terrestrial sediment source to the west of PISP is Walnut Creek, which discharges to Lake Erie about 8.5 kilometers southwest of PISP Beach 1. On June 24, June 25, August 18, and August 19, 2015, synoptic surveys were conducted by the U.S. Geological Survey, in cooperation with the Pennsylvania Sea Grant, in Lake Erie between Walnut Creek and PISP Beach 1 to characterize the water-current velocity and direction to determine whether sediment from Walnut Creek could be affecting the PISP beaches. Water-quality data (temperature, specific conductance, and turbidity) were collected in conjunction with the synoptic surveys in June. Water-quality data (<i>Escherichia coli</i> [<i>E. coli</i>] bacteria, temperature, and turbidity) were collected about a meter from the shore (nearshore) on June 24, August 19, and after a precipitation event on August 11, 2015. Additionally, suspended sediment was collected nearshore on June 24 and August 11, 2015. Samples collected near Walnut Creek during all three bacterial sampling events contained higher counts than other samples. Counts steadily decreased from west to east, then increased about 1–2 kilometers from PISP Beach 1; however, this study was not focused on examining other potential sources of bacteria.</p><p>The Velocity Mapping Toolbox (VMT) was used to process the water-current synoptic surveys, and the results were visualized within ArcMap. For the survey accomplished on June 24, 2015, potential paths a particle could take between Walnut Creek and PSIP Beach 1 if conditions remained steady over a number of hours were visualized. However, the water-current velocity and direction were variable from one day to the other, indicating this was likely an unrealistic assumption for the study area. This analysis was not accomplished for the other surveys due to unsteady lake conditions encountered on June 25 and August 18, and reduced quality of the survey on August 19.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161206","collaboration":"Prepared in cooperation with the Pennsylvania Sea Grant","usgsCitation":"Hittle, Elizabeth, 2017, Longshore water-current velocity and the potential for transport of contaminants—A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206, 126 p., https://doi.org/10.3133/ofr20161206.","productDescription":"Report: x, 126 p.; Appendixes 2-1 - 2-3; Data Release","numberOfPages":"140","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077254","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":438368,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KP808D","text":"USGS data release","linkHelpText":"Data Collected in Support of the Longshore Water-Current Velocity and the Potential for Transport of Contaminants pilot study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania"},{"id":339295,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7KP808D","text":"USGS data release","description":"USGS data release","linkHelpText":"Longshore Water-Current Velocity and the Potential for Transport of Contaminants: A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015"},{"id":339174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1206/coverthb2.jpg"},{"id":339175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206.pdf","text":"Report","size":"28.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1206"},{"id":339176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206_appendix2-1.csv","text":"Appendix 2-1","size":"1.29 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Regression Statistics for Figures 23-25"},{"id":339178,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206_appendix2-3.csv","text":"Appendix 2-3","size":"1.25 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Regression Statistics for Figures 23-25"},{"id":339177,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206_appendix2-2.csv","text":"Appendix 2-2","size":"1.29 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Regression Statistics for Figures 23-25"}],"country":"United States","state":"Pennsylvania","city":"Erie","otherGeospatial":"Lake Erie, Presque Isle State Park, Walnut Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.25,\n              42.06667\n            ],\n            [\n              -80.13333,\n              42.06667\n            ],\n            [\n              -80.13333,\n              42.13333\n            ],\n            [\n              -80.25,\n              42.13333\n            ],\n            [\n              -80.25,\n              42.06667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, Pennsylvania Water Science Center<br> U.S. Geological Survey<br> 215 Limekiln Road<br> New Cumberland, PA 17070 <br> <a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">https://pa.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Pilot Study Data Collection</li><li>Observations</li><li>Potential for Transport of Contaminants</li><li>Future Studies</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Velocity Mapping Toolbox Depictions of Transect Cross-Sections Showing Velocity Magnitude and Direction of Water Currents</li><li>Appendix 2. Regression Statistics for Figures 23–25&nbsp;</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-04-20","noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"58f9c8cce4b0b7ea545240e7","contributors":{"authors":[{"text":"Hittle, Elizabeth A. 0000-0002-1771-7724 ehittle@usgs.gov","orcid":"https://orcid.org/0000-0002-1771-7724","contributorId":2038,"corporation":false,"usgs":true,"family":"Hittle","given":"Elizabeth","email":"ehittle@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":657208,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70184208,"text":"fs20173017 - 2017 - Volcanic air pollution hazards in Hawaii","interactions":[],"lastModifiedDate":"2017-05-08T16:41:15","indexId":"fs20173017","displayToPublicDate":"2017-04-20T00:00:00","publicationYear":"2017","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":"2017-3017","title":"Volcanic air pollution hazards in Hawaii","docAbstract":"<p><span class=\"m_1413221671092890332gmail-m_-6483867193317809902m_7768073191205492324gmail-s2\">N</span><span>oxious sulfur dioxide gas and other air pollutants emitted from Kīlauea Volcano on the Island of Hawai‘i react with oxygen, atmospheric moisture, and sunlight to produce volcanic smog (vog) and acid rain. Vog can negatively affect human health and agriculture, and acid rain can contaminate household water supplies by leaching metals from building and plumbing materials in rooftop rainwater-catchment systems. U.S. Geological Survey scientists, along with health professionals and local government officials are working together to better understand volcanic air pollution and to enhance public awareness of this hazard.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173017","usgsCitation":"Elias, T., and Sutton, A.J., 2017, Volcanic air pollution hazards in Hawaii: U.S. Geological Survey Fact Sheet 2017–3017, 4 p., https://doi.org/10.3133/fs20173017.","productDescription":"4 p.","ipdsId":"IP-080126","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":340055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3017/coverthb.jpg"},{"id":340056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3017/fs20173017.pdf","text":"Report","size":"9.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3017"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\" target=\"_blank\" data-mce-href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\">Contact HVO</a><br><a href=\"https://hvo.wr.usgs.gov/\" data-mce-href=\"https://hvo.wr.usgs.gov/\">Volcano Science Center, Hawaiian Volcano Observatory</a><br>U.S. Geological Survey<br>P.O. Box 51, 1 Crater Rim Road<br>Hawaiʻi Volcanoes National Park, HI 96718-0051<br></p>","tableOfContents":"<ul><li>Eruption Plumes and the Creation of Vog<br></li><li>What Controls Vog on the Island of Hawai‘i?<br></li><li>Measuring Volcanic SO<sub>2</sub> and its Impact on Air Quality<br></li><li>Where Does Vog Go?<br></li><li>Measuring Volcanic SO<sub>2</sub><br></li><li>How Vog Affects Humans<br></li><li>How Vog Affects Agriculture and the Natural Environment<br></li><li>How Much SO<sub>2</sub> is There?<br></li><li>How the Volcanic Plume Affects Water Quality<br></li><li>Climate and Weather: Regional and Global Impacts of Vog<br></li><li>Adapting to Life with Vog<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-04-20","noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"58f9c8cde4b0b7ea545240e9","contributors":{"authors":[{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":680552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutton, A. Jeff","contributorId":45605,"corporation":false,"usgs":true,"family":"Sutton","given":"A.","email":"","middleInitial":"Jeff","affiliations":[],"preferred":false,"id":680553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187020,"text":"70187020 - 2017 - Developing criteria to establish Trusted Digital Repositories","interactions":[],"lastModifiedDate":"2017-04-20T11:34:56","indexId":"70187020","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1368,"text":"Data Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Developing criteria to establish Trusted Digital Repositories","docAbstract":"<p><span>This paper details the drivers, methods, and outcomes of the U.S. Geological Survey’s quest to establish criteria by which to judge its own digital preservation resources as Trusted Digital Repositories. Drivers included recent U.S. legislation focused on data and asset management conducted by federal agencies spending $100M USD or more annually on research activities. The methods entailed seeking existing evaluation criteria from national and international organizations such as International Standards Organization (ISO), U.S. Library of Congress, and Data Seal of </span><span>Approval upon which to model USGS repository evaluations. Certification, complexity, cost, and </span><span>usability of existing evaluation models were key considerations. The selected evaluation method was derived to allow the repository evaluation process to be transparent, understandable, and defensible; factors that are critical for judging competing, internal units. Implementing the chosen evaluation criteria involved establishing a cross-agency, multi-disciplinary team that interfaced across the organization.&nbsp;</span></p>","language":"English","publisher":"Ubiquity Press","doi":"10.5334/dsj-2017-022","usgsCitation":"Faundeen, J., 2017, Developing criteria to establish Trusted Digital Repositories: Data Science Journal, v. 16, p. 1-13, https://doi.org/10.5334/dsj-2017-022.","productDescription":"Article 22; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-085601","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/dsj-2017-022","text":"Publisher Index Page"},{"id":339929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877a6e4b0b7ea54521beb","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","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":691919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187013,"text":"70187013 - 2017 - Stable isotopic composition of perchlorate and nitrate accumulated in plants: Hydroponic experiments and field data","interactions":[],"lastModifiedDate":"2017-04-19T10:37:40","indexId":"70187013","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotopic composition of perchlorate and nitrate accumulated in plants: Hydroponic experiments and field data","docAbstract":"<p><span>Natural perchlorate (ClO</span><sub>4</sub><sup>−</sup><span>) in soil and groundwater exhibits a wide range in stable isotopic compositions (δ</span><sup>37</sup><span>Cl, δ</span><sup>18</sup><span>O, and Δ</span><sup>17</sup><span>O), indicating that ClO</span><sub>4</sub><sup>−</sup><span> may be formed through more than one pathway and/or undergoes post-depositional isotopic alteration. Plants are known to accumulate ClO</span><sub>4</sub><sup>−</sup><span>, but little is known about their ability to alter its isotopic composition. We examined the potential for plants to alter the isotopic composition of ClO</span><sub>4</sub><sup>−</sup><span> in hydroponic and field experiments conducted with snap beans (</span><i>Phaseolus vulgaris</i><span> L.). In hydroponic studies, anion ratios indicated that ClO</span><sub>4</sub><sup>−</sup><span> was transported from solutions into plants similarly to NO</span><sub>3</sub><sup>−</sup><span> but preferentially to Cl</span><sup>−</sup><span> (4-fold). The ClO</span><sub>4</sub><sup>−</sup><span> isotopic compositions of initial ClO</span><sub>4</sub><sup>−</sup><span> reagents, final growth solutions, and aqueous extracts from plant tissues were essentially indistinguishable, indicating no significant isotope effects during ClO</span><sub>4</sub><sup>−</sup><span> uptake or accumulation. The ClO</span><sub>4</sub><sup>−</sup><span> isotopic composition of field-grown snap beans was also consistent with that of ClO</span><sub>4</sub><sup>−</sup><span> in varying proportions from irrigation water and precipitation. NO</span><sub>3</sub><sup>−</sup><span> uptake had little or no effect on NO</span><sub>3</sub><sup>−</sup><span> isotopic compositions in hydroponic solutions. However, a large fractionation effect with an apparent ε (</span><sup>15</sup><span>N/</span><sup>18</sup><span>O) ratio of 1.05 was observed between NO</span><sub>3</sub><sup>−</sup><span> in hydroponic solutions and leaf extracts, consistent with partial NO</span><sub>3</sub><sup>−</sup><span> reduction during assimilation within plant tissue. We also explored the feasibility of evaluating sources of ClO</span><sub>4</sub><sup>−</sup><span> in commercial produce, as illustrated by spinach, for which the ClO</span><sub>4</sub><sup>−</sup><span> isotopic composition was similar to that of indigenous natural ClO</span><sub>4</sub><sup>−</sup><span>. Our results indicate that some types of plants can accumulate and (presumably) release ClO</span><sub>4</sub><sup>−</sup><span> to soil and groundwater without altering its isotopic characteristics. Concentrations and isotopic compositions of ClO</span><sub>4</sub><sup>−</sup><span>and NO</span><sub>3</sub><sup>−</sup><span> in plants may be useful for determining sources of fertilizers and sources of ClO</span><sub>4</sub><sup>−</sup><span> in their growth environments and consequently in food supplies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.03.223","usgsCitation":"Estrada, N.L., Bohlke, J., Sturchio, N.C., Gu, B., Harvey, G., Burkey, K.O., Grantz, D.A., McGrath, M.T., Anderson, T.A., Rao, B., Sevanthi, R., Hatzinger, P.B., and Jackson, W.A., 2017, Stable isotopic composition of perchlorate and nitrate accumulated in plants: Hydroponic experiments and field data: Science of the Total Environment, v. 595, p. 556-566, https://doi.org/10.1016/j.scitotenv.2017.03.223.","productDescription":"11 p.","startPage":"556","endPage":"566","ipdsId":"IP-084213","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1416052","text":"Publisher Index Page"},{"id":339931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"595","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877a7e4b0b7ea54521bee","contributors":{"authors":[{"text":"Estrada, Nubia Luz","contributorId":191104,"corporation":false,"usgs":false,"family":"Estrada","given":"Nubia","email":"","middleInitial":"Luz","affiliations":[],"preferred":false,"id":691883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":691882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":691884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gu, Baohua","contributorId":191105,"corporation":false,"usgs":false,"family":"Gu","given":"Baohua","email":"","affiliations":[],"preferred":false,"id":691885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Greg","contributorId":191106,"corporation":false,"usgs":false,"family":"Harvey","given":"Greg","email":"","affiliations":[],"preferred":false,"id":691886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burkey, Kent O.","contributorId":191107,"corporation":false,"usgs":false,"family":"Burkey","given":"Kent","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":691887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grantz, David A.","contributorId":191108,"corporation":false,"usgs":false,"family":"Grantz","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":691888,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGrath, Margaret T.","contributorId":191109,"corporation":false,"usgs":false,"family":"McGrath","given":"Margaret","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":691889,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, Todd A.","contributorId":191110,"corporation":false,"usgs":false,"family":"Anderson","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":691890,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rao, Balaji","contributorId":191111,"corporation":false,"usgs":false,"family":"Rao","given":"Balaji","email":"","affiliations":[],"preferred":false,"id":691891,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sevanthi, Ritesh","contributorId":191112,"corporation":false,"usgs":false,"family":"Sevanthi","given":"Ritesh","email":"","affiliations":[],"preferred":false,"id":691892,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":691893,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jackson, W. Andrew","contributorId":191113,"corporation":false,"usgs":false,"family":"Jackson","given":"W.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":691894,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70188800,"text":"70188800 - 2017 - A foundation for future assessment and management of groundwater resources","interactions":[],"lastModifiedDate":"2017-07-11T08:35:29","indexId":"70188800","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A foundation for future assessment and management of groundwater resources","docAbstract":"Sequence stratigraphic models for the Pleistocene to Holocene sediments of the Los Angeles (LA) Basin will provide better understanding of\nregional groundwater flow and have helped identify seawater intrusion pathways into important groundwater aquifers. Because groundwater\nprovides more than one-third of the municipal water supply for the coastal LA Basin, the aquifer architecture of this system is a high priority\nfor groundwater managers. Seismic and sequence stratigraphy are now incorporated into groundwater resource assessments and environmental\ninvestigations. By evaluating subsurface data using sequence stratigraphy, the geometry and distribution of aquifer and aquitard sediments are\ndefined, thus groundwater contaminant plumes and sea water intrusion pathways are better understood. The U. S. Geological Survey (USGS),\nin cooperation with Los Angeles County Department of Public Works and the Water Replenishment District of Southern California undertook\nan investigation of the groundwater stratigraphy of the Wilmington – Long Beach area of the LA Basin. Sequence stratigraphic methods were\nused to integrate preexisting groundwater well data with: (1) new borehole observations, (2) structural and physical properties data derived\nfrom geophysical measurements, (3) hi-resolution seismic reflection data obtained offshore of the present shoreline, and (4) vintage oil\ncompany exploration seismic reflection data from both onshore and offshore of the shoreline. These data were used to construct a series of\nPleistocene to Holocene environment of deposition maps that show the overall progradation of sequences seaward over time. In addition,\nseawater intrusion pathways into coastal groundwater aquifers were identified and mapped. On a more regional scale, a vintage Texaco seismic\nreflection data set from the greater LA Basin was interpreted and integrated with a regional network of multi-level ground-water monitoring\nwells. The sequence stratigraphic correlation shows that many of the defined groundwater aquifers are not correlative. For example, one of the\nmajor groundwater supply aquifers, the Silverado Aquifer, when tied to the seismic reflection data has different ages depending on location.\nThis new understanding demonstrates the need for a re-evaluation of the Pleistocene to Holocene stratigraphy using existing seismic reflection\ndata integrated with well data from the LA Basin in order to understand the regional distribution of groundwater aquifers.","conferenceTitle":"AAPG Annual convention and Exhibition","conferenceDate":"April 2-5, 2017","conferenceLocation":"Houston, TX","language":"English","publisher":"AAPG","usgsCitation":"Ehman, K.D., and Edwards, B.D., 2017, A foundation for future assessment and management of groundwater resources, AAPG Annual convention and Exhibition, Houston, TX, April 2-5, 2017, 18 p.","productDescription":"18 p.","ipdsId":"IP-083334","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342842,"type":{"id":15,"text":"Index Page"},"url":"https://www.searchanddiscovery.com/pdfz/documents/2017/80599ehman/ndx_ehman.pdf.html"},{"id":342846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c3669","contributors":{"authors":[{"text":"Ehman, Kenneth D.","contributorId":64745,"corporation":false,"usgs":true,"family":"Ehman","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":700428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187005,"text":"70187005 - 2017 - Amphibian conservation: clarifications to comments from Andreone","interactions":[],"lastModifiedDate":"2017-04-19T11:01:47","indexId":"70187005","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian conservation: clarifications to comments from Andreone","docAbstract":"<p><span>We appreciate the comments from Andreone (2016) regarding our proposed alternative strategy for addressing the amphibian crisis. Andreone recognizes the utility of an Incident Command System approach but doubts the feasibility of implementation at an international level. We stated in our original article, however, that ‘the feasibility of our suggestion is debatable, but our point is that radically different approaches are necessary to effectively manage the largest extinction event in modern history’ (Muths &amp; Fisher, 2015). There are examples of where such top-down strategies are being applied; e.g. for the brown tree snake </span><span class=\"italic\">Boiga irregularis</span><span> (Stanford &amp; Rodda, 2007), and biosecurity planning for Micronesia and Hawaii (NAVFAC Pacific, 2016). Another example is presented by Andreone. In Madagascar a community-wide conservation plan has been developed complete with prioritization of specific actions (Andreone, 2016). As with any top-down strategy, challenges will surface, especially when making decisions that affect economics. We note this caveat in our article, and Andreone points out such issues in Madagascar, where there are mismatches in priorities between biodiversity conservation and civil needs. Our suggestion is that a new paradigm needs to be considered given the gravity of amphibian decline, and one option may be to take a global approach focusing on specific, major threats. Application of an Incident Command System would not necessitate competition with, or emasculation of, local conservation priorities or actions.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605316001204","usgsCitation":"Muths, E.L., and Fisher, R.N., 2017, Amphibian conservation: clarifications to comments from Andreone: Oryx, v. 51, no. 2, p. 216-217, https://doi.org/10.1017/S0030605316001204.","productDescription":"2 p.","startPage":"216","endPage":"217","ipdsId":"IP-079119","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605316001204","text":"Publisher Index Page"},{"id":339943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"58f877abe4b0b7ea54521bf8","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":691816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":691817,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186984,"text":"70186984 - 2017 - A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes","interactions":[],"lastModifiedDate":"2017-10-02T12:59:38","indexId":"70186984","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes","docAbstract":"<p><span>Lakes are dominant and diverse landscape features in the Arctic, but conventional land cover classification schemes typically map them as a single uniform class. Here, we present a detailed lake-centric geospatial database for an Arctic watershed in northern Alaska. We developed a GIS dataset consisting of 4362 lakes that provides information on lake morphometry, hydrologic connectivity, surface area dynamics, surrounding terrestrial ecotypes, and other important conditions describing Arctic lakes. Analyzing the geospatial database relative to fish and bird survey data shows relations to lake depth and hydrologic connectivity, which are being used to guide research and aid in the management of aquatic resources in the National Petroleum Reserve in Alaska. Further development of similar geospatial databases is needed to better understand and plan for the impacts of ongoing climate and land-use changes occurring across lake-rich landscapes in the Arctic.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13280-017-0915-9","usgsCitation":"Jones, B.M., Arp, C.D., Whitman, M.S., Nigro, D.A., Nitze, I., Beaver, J., Gadeke, A., Zuck, C., Liljedahl, A.K., Daanen, R., Torvinen, E., Fritz, S., and Grosse, G., 2017, A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes: Ambio, v. 46, no. 7, p. 769-786, https://doi.org/10.1007/s13280-017-0915-9.","productDescription":"18 p.","startPage":"769","endPage":"786","ipdsId":"IP-076338","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":469915,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13280-017-0915-9","text":"Publisher Index Page"},{"id":438369,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H70CXB","text":"USGS data release","linkHelpText":"Fish Creek Watershed Lake Classification; 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,{"id":70187007,"text":"70187007 - 2017 - Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications","interactions":[],"lastModifiedDate":"2017-11-22T16:08:49","indexId":"70187007","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-360","title":"Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications","docAbstract":"The Science Framework is intended to link the Department of the Interior’s Integrated Rangeland Fire Management Strategy with long-term strategic conservation actions in the sagebrush biome. The Science Framework provides a multiscale approach for prioritizing areas for management and determining effective management strategies within the sagebrush biome. The emphasis is on sagebrush (Artemisia spp.) ecosystems and Greater sage-grouse (Centrocercus urophasianus). The approach provided in the Science Framework links sagebrush ecosystem resilience to disturbance and resistance to nonnative, invasive plant species to species habitat information based on the distribution and abundance of focal species.\r\nA geospatial process is presented that overlays information on ecosystem resilience and resistance, species habitats, and predominant threats and that can be used at the mid-scale to prioritize areas for management. A resilience and resistance habitat matrix is provided that can help decisionmakers evaluate risks and determine appropriate management strategies. Prioritized areas and management strategies can be refined by managers and stakeholders at the local scale based on higher resolution data and local knowledge. Decision tools are discussed for determining appropriate management actions for areas that are prioritized for\r\nmanagement. Geospatial data, maps, and models are provided through the U.S. Geological Survey (USGS) ScienceBase and Bureau of Land Management (BLM) Landscape Approach Data Portal. The Science Framework is intended to be adaptive and will be updated as additional data become available on other values and species at risk. It is anticipated that the Science Framework will be widely used to: (1) inform emerging strategies to conserve\r\nsagebrush ecosystems, sagebrush dependent species, and human uses of the sagebrush system, and (2) assist managers in prioritizing and planning on-the-ground restoration and mitigation actions across the sagebrush biome.","language":"English","publisher":"U.S Department of Agriculture, Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Chambers, J.C., Beck, J.L., Bradford, J.B., Bybee, J., Campbell, S., Carlson, J., Christiansen, T.J., Clause, K.J., Collins, G., Crist, M., Dinkins, J.B., Doherty, K., Edwards, F., Espinosa, S., Griffin, K.A., Griffin, P., Haas, J.R., Hanser, S.E., Havlina, D.W., Henke, K.F., Hennig, J.D., Joyce, L.A., Kilkenny, F.F., Kulpa, S.M., Kurth, L.L., Maestas, J.D., Manning, M., Mayer, K., Mealor, B.A., McCarthy, C., Pellant, M., Perea, M.A., Prentice, K.L., Pyke, D.A., Wiechman, L.A., and Wuenschel, A., 2017, Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications: General Technical Report RMRS-GTR-360, v, 213 p.","productDescription":"v, 213 p.","ipdsId":"IP-081441","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":339915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339902,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/53983"}],"country":"United States","state":"California, Colorado, Idaho, Montana, Nevada, 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              -102.568359375,\n              49.03786794532644\n            ],\n            [\n              -123.31054687499999,\n              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,{"id":70187010,"text":"70187010 - 2017 - Management of plains cottonwood at Theodore Roosevelt National Park, North Dakota","interactions":[],"lastModifiedDate":"2017-07-10T16:59:19","indexId":"70187010","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/THRO/NRR—2017/1395","title":"Management of plains cottonwood at Theodore Roosevelt National Park, North Dakota","docAbstract":"Establishment of cottonwood trees is driven by flood-induced channel migration, which provides the new surfaces necessary for successful germination and survival. Along the Little Missouri River the largest floods typically result from snowmelt in March or April. Seed release occurs in early summer, and seedlings usually germinate in moist, open locations on point bars at relatively low elevations above the channel. Subsequent channel migration allows seedlings to mature by protecting them from scour in floods and ice jams. Management actions that decrease channel movement will reduce cottonwood reproduction.\nGrowth and survival of cottonwood trees are strongly decreased by extreme low flows. As a result, management activities that decrease low flows could strongly reduce growth or kill trees. Surface-flow diversions are less damaging to trees if carried out during the spring when flows are relatively high. Herbicide application by helicopter to control leafy spurge appears to have inadvertently damaged or killed about 25% of the cottonwood forest along the Little Missouri River in the South Unit. Area of adult trees sprayed has been reduced since 2007 to limit this damage. It is not known whether spraying of cottonwood seedlings on unforested point bars is reducing cottonwood reproduction in the South Unit.\nWarmer temperatures since 1976 have reduced flood peaks and the ice jamming that magnifies those peaks; as a result channel movement, cottonwood establishment and cottonwood growth have decreased. Increasing temperatures associated with global climate change could continue this trend.","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Friedman, J.M., and Griffin, E.R., 2017, Management of plains cottonwood at Theodore Roosevelt National Park, North Dakota: Natural Resource Report NPS/THRO/NRR—2017/1395, vii, 34 p.","productDescription":"vii, 34 p.","ipdsId":"IP-081677","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":339913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343541,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z60M9V","text":"Cottonwood Management at Theodore Roosevelt National Park, North Dakota"},{"id":339904,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2238773"}],"country":"United States","state":"Montana, North 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egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":691870,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186989,"text":"70186989 - 2017 - Reassessment of the Upper Fremont Glacier ice-core chronologies by synchronizing of ice-core-water isotopes to a nearby tree-ring chronology","interactions":[],"lastModifiedDate":"2017-07-12T16:06:40","indexId":"70186989","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Reassessment of the Upper Fremont Glacier ice-core chronologies by synchronizing of ice-core-water isotopes to a nearby tree-ring chronology","docAbstract":"<p><span>The Upper Fremont Glacier (UFG), Wyoming, is one of the few continental glaciers in the contiguous United States known to preserve environmental and climate records spanning recent centuries. A pair of ice cores taken from UFG have been studied extensively to document changes in climate and industrial pollution (most notably, mid-19th century increases in mercury pollution). Fundamental to these studies is the chronology used to map ice-core depth to age. Here, we present a revised chronology for the UFG ice cores based on new measurements and using a novel dating approach of synchronizing continuous water isotope measurements to a nearby tree-ring chronology. While consistent with the few unambiguous age controls underpinning the previous UFG chronologies, the new interpretation suggests a very different time scale for the UFG cores with changes of up to 80 years. Mercury increases previously associated with the mid-19th century Gold Rush now coincide with early-20th century industrial emissions, aligning the UFG record with other North American mercury records from ice and lake sediment cores. Additionally, new UFG records of industrial pollutants parallel changes documented in ice cores from southern Greenland, further validating the new UFG chronologies while documenting the extent of late 19th and early 20th century pollution in remote North America.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.6b06574","usgsCitation":"Chellman, N.J., McConnell, J.R., Arienzo, M., Pederson, G.T., Aarons, S., and Csank, A., 2017, Reassessment of the Upper Fremont Glacier ice-core chronologies by synchronizing of ice-core-water isotopes to a nearby tree-ring chronology: Environmental Science & Technology, v. 51, no. 8, p. 4230-4238, https://doi.org/10.1021/acs.est.6b06574.","productDescription":"9 p.","startPage":"4230","endPage":"4238","ipdsId":"IP-082538","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":339937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-04","publicationStatus":"PW","scienceBaseUri":"58f877abe4b0b7ea54521bfa","contributors":{"authors":[{"text":"Chellman, Nathan J.","contributorId":140597,"corporation":false,"usgs":false,"family":"Chellman","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":691701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McConnell, Joseph R.","contributorId":191064,"corporation":false,"usgs":false,"family":"McConnell","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":691702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arienzo, Monica","contributorId":191065,"corporation":false,"usgs":false,"family":"Arienzo","given":"Monica","affiliations":[],"preferred":false,"id":691703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":691700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aarons, Sarah","contributorId":191066,"corporation":false,"usgs":false,"family":"Aarons","given":"Sarah","affiliations":[],"preferred":false,"id":691704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Csank, Adam","contributorId":191067,"corporation":false,"usgs":false,"family":"Csank","given":"Adam","email":"","affiliations":[],"preferred":false,"id":691705,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190130,"text":"70190130 - 2017 - Carbonate buffering and metabolic controls on carbon dioxide in rivers","interactions":[],"lastModifiedDate":"2018-01-30T21:09:43","indexId":"70190130","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbonate buffering and metabolic controls on carbon dioxide in rivers","docAbstract":"<p><span>Multiple processes support the significant efflux of carbon dioxide (CO</span><sub>2</sub><span>) from rivers and streams. Attribution of CO</span><sub>2</sub><span><span>&nbsp;</span>oversaturation will lead to better quantification of the freshwater carbon cycle and provide insights into the net cycling of nutrients and pollutants. CO</span><sub>2</sub><span><span>&nbsp;</span>production is closely related to O</span><sub>2</sub><span>consumption because of the metabolic linkage of these gases. However, this relationship can be weakened due to dissolved inorganic carbon inputs from groundwater, carbonate buffering, calcification, and anaerobic metabolism. CO</span><sub>2</sub><span>and O</span><sub>2</sub><span><span>&nbsp;</span>concentrations and other water quality parameters were analyzed in two data sets: a synoptic field study and nationwide water quality monitoring data. CO</span><sub>2</sub><span><span>&nbsp;</span>and O</span><sub>2</sub><span><span>&nbsp;</span>concentrations were strongly negatively correlated in both data sets (</span><i>ρ</i><span> = −0.67 and<span>&nbsp;</span></span><i>ρ</i><span> = −0.63, respectively), although the correlations were weaker in high-alkalinity environments. In nearly all samples, the molar oversaturation of CO</span><sub>2</sub><span><span>&nbsp;</span>was a larger magnitude than molar O</span><sub>2</sub><span><span>&nbsp;</span>undersaturation. We used a dynamically coupled O</span><sub>2</sub><img src=\"http://onlinelibrarystatic.wiley.com/undisplayable_characters/00f8ff.gif\" alt=\"[BOND]\" data-mce-src=\"http://onlinelibrarystatic.wiley.com/undisplayable_characters/00f8ff.gif\"><span>CO</span><sub>2</sub><span><span>&nbsp;</span>model to show that lags in CO</span><sub>2</sub><span><span>&nbsp;</span>air-water equilibration are a likely cause of this phenomenon. Lags in CO</span><sub>2</sub><span><span>&nbsp;</span>equilibration also impart landscape-scale differences in the behavior of CO</span><sub>2</sub><span><span>&nbsp;</span>between high- and low-alkalinity watersheds. Although the concept of carbonate buffering and how it creates lags in CO</span><sub>2</sub><span><span>&nbsp;</span>equilibration with the atmosphere is well understood, it has not been sufficiently integrated into our understanding of CO</span><sub>2</sub><span><span>&nbsp;</span>dynamics in freshwaters. We argue that the consideration of carbonate equilibria and its effects on CO</span><sub>2</sub><span><span>&nbsp;</span>dynamics are primary steps in understanding the sources and magnitude of CO</span><sub>2</sub><span><span>&nbsp;</span>oversaturation in rivers and streams.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GB005578","usgsCitation":"Stets, E.G., Butman, D., McDonald, C.P., Stackpoole, S.M., DeGrandpre, M.D., and Striegl, R.G., 2017, Carbonate buffering and metabolic controls on carbon dioxide in rivers: Global Biogeochemical Cycles, v. 31, no. 4, p. 663-677, https://doi.org/10.1002/2016GB005578.","productDescription":"15 p.","startPage":"663","endPage":"677","ipdsId":"IP-084222","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-11","publicationStatus":"PW","scienceBaseUri":"598e907ee4b09fa1cb16097a","contributors":{"authors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Cory P. 0000-0002-1208-8471 cmcdonald@usgs.gov","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":4238,"corporation":false,"usgs":true,"family":"McDonald","given":"Cory","email":"cmcdonald@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeGrandpre, Michael D.","contributorId":187412,"corporation":false,"usgs":false,"family":"DeGrandpre","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":707605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":707606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188640,"text":"70188640 - 2017 - Variable effects of climate on forest growth in relation to  climate extremes, disturbance, and forest dynamics","interactions":[],"lastModifiedDate":"2017-08-30T14:54:20","indexId":"70188640","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","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":"Variable effects of climate on forest growth in relation to  climate extremes, disturbance, and forest dynamics","docAbstract":"Changes in the frequency, duration, and severity of climate extremes are forecast to occur under global climate change. The impacts of climate extremes on forest productivity and health remain difficult to predict due to potential interactions with disturbance events and forest dynamics—changes in forest stand composition, density, size and age structure over time. Such interactions may lead to non-linear forest growth responses to climate involving thresholds and lag effects. Understanding how forest dynamics influence growth responses to climate is particularly important given stand structure and composition can be modified through management to increase forest resistance and resilience to climate change. To inform such adaptive management, we develop a hierarchical Bayesian state space model in which climate effects on tree growth are allowed to vary over time and in relation to past climate extremes, disturbance events, and forest dynamics. The model is an important step toward integrating disturbance and forest dynamics into predictions of forest growth responses to climate extremes. We apply the model to a dendrochronology data set from forest stands of varying composition, structure, and development stage in northeastern Minnesota that have experienced extreme climate years and forest tent caterpillar defoliation events. Mean forest growth was most sensitive to water balance variables representing climatic water deficit. Forest growth responses to water deficit were partitioned into responses driven by climatic threshold exceedances and interactions with insect defoliation. Forest growth was both resistant and resilient to climate extremes with the majority of forest growth responses occurring after multiple climatic threshold exceedances across seasons and years. Interactions between climate and disturbance were observed in a subset of years with insect defoliation increasing forest growth sensitivity to water availability. Forest growth was particularly sensitive to climate extremes during periods of high stem density following major regeneration events when average inter-tree competition was high. Results suggest the resistance and resilience of forest growth to climate extremes can be increased through management steps such as thinning to reduce competition during early stages of stand development and small-group selection harvests to maintain forest structures characteristic of older, mature stands.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1518","usgsCitation":"Itter, M.S., Finley, A.O., D’Amato, A.W., Foster, J.R., and Bradford, J.B., 2017, Variable effects of climate on forest growth in relation to  climate extremes, disturbance, and forest dynamics: Ecological Applications, v. 27, no. 4, p. 1082-1095, https://doi.org/10.1002/eap.1518.","productDescription":"14 p. 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,{"id":70193799,"text":"70193799 - 2017 - Migratory connectivity of american woodcock using band return data","interactions":[],"lastModifiedDate":"2017-11-08T14:21:46","indexId":"70193799","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","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":"Migratory connectivity of american woodcock using band return data","docAbstract":"<p><span>American woodcock (</span><i>Scolopax minor</i><span>) are managed as a Central and an Eastern population in the United States and Canada based on band return data showing little crossover between populations or management regions. The observed proportion of crossover between management regions, however, depends on the criteria used to subset the band return data. We analyzed the amount of crossover between management regions using only band return records that represent complete migrations between the breeding and wintering grounds by using only band return records in which the capture took place during the breeding season and the band recovery took place during the wintering season or vice versa (</span><i>n</i><span> = 224). Additionally, we applied spatial statistics and a clustering algorithm to investigate woodcock migratory connectivity using this subset of migratory woodcock band return records. Using raw counts, 17.9% of records showed crossover between management regions, a higher proportion than the &lt;5% crossover reported in studies that did not use only migratory band returns. Our results showed woodcock from the breeding grounds in the Central Region largely migrate to destinations within the Central Region, whereas woodcock from the breeding grounds in the Eastern Region migrate to destinations across the entire wintering range and mix with individuals from the Central Region. Using the division coefficient, we estimated that 54% of woodcock from the breeding grounds of the Eastern Region migrate to the Central Region wintering grounds. Our result that many woodcock from separate regions of the breeding grounds mix on the wintering grounds has implications for the 2-region basis for woodcock management. Elucidating finer scale movement patterns among regions provides a basis for reassessing the need for separate management regions to ensure optimal conservation and management of the species.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21269","usgsCitation":"Moore, J.D., and Krementz, D.G., 2017, Migratory connectivity of american woodcock using band return data: Journal of Wildlife Management, v. 81, no. 6, p. 1063-1072, https://doi.org/10.1002/jwmg.21269.","productDescription":"12 p.","startPage":"1063","endPage":"1072","ipdsId":"IP-080526","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.26806640624999,\n              45.1510532655634\n            ],\n            [\n              -74.0478515625,\n              46.31658418182218\n            ],\n            [\n              -77.1240234375,\n              47.54687159892238\n            ],\n            [\n              -82.0458984375,\n              48.48748647988415\n            ],\n            [\n              -86.0009765625,\n              48.86471476180277\n            ],\n            [\n              -89.033203125,\n              48.60385760823255\n            ],\n            [\n              -90.615234375,\n              48.019324184801185\n            ],\n            [\n              -93.603515625,\n              46.98025235521883\n            ],\n            [\n              -95.0537109375,\n              45.82879925192134\n            ],\n            [\n              -95.2294921875,\n              43.77109381775651\n            ],\n            [\n              -96.064453125,\n              39.40224434029275\n            ],\n            [\n              -96.15234375,\n              32.0639555946604\n            ],\n            [\n              -95.0537109375,\n              29.22889003019423\n            ],\n            [\n              -87.802734375,\n              30.751277776257812\n            ],\n            [\n              -85.62744140625,\n              34.77771580360469\n            ],\n            [\n              -80.74951171875,\n              37.59682400108367\n            ],\n            [\n              -74.02587890625,\n              41.32732632036622\n            ],\n            [\n              -71.7626953125,\n              43.229195113965005\n            ],\n            [\n              -72.26806640624999,\n              45.1510532655634\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-19","publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b4538e","contributors":{"authors":[{"text":"Moore, Joseph D.","contributorId":199996,"corporation":false,"usgs":false,"family":"Moore","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":720543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720542,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187009,"text":"70187009 - 2017 - The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters","interactions":[],"lastModifiedDate":"2022-01-21T16:27:42.336617","indexId":"70187009","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters","docAbstract":"<p id=\"abspara0010\">The California Seafloor and Coastal Mapping Program (CSCMP) is a collaborative effort to develop comprehensive bathymetric, geologic, and habitat maps and data for California's State Waters. CSCMP began in 2007 when the California Ocean Protection Council (OPC) and the National Oceanic and Atmospheric Administration (NOAA) allocated funding for high-resolution bathymetric mapping, largely to support the California Marine Life Protection Act and to update nautical charts. Collaboration and support from the U.S. Geological Survey and other partners has led to development and dissemination of one of the world's largest seafloor-mapping datasets. CSCMP provides essential science and data for ocean and coastal management, stimulates and enables research, and raises public education and awareness of coastal and ocean issues. Specific applications include:</p><ul>•Delineation and designation of marine protected areas</ul><ul>•Characterization and modeling of benthic habitats and ecosystems</ul><ul>•Updating nautical charts</ul><ul>•Earthquake hazard assessments</ul><ul>•Tsunami hazard assessments</ul><ul>•Planning offshore infrastructure</ul><ul>•Providing baselines for monitoring change</ul><ul>•Input to models of sediment transport, coastal erosion, and coastal flooding</ul><ul>•Regional sediment management</ul><ul>•Understanding coastal aquifers</ul><ul>•Providing geospatial data for emergency response</ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2017.02.004","usgsCitation":"Johnson, S.Y., Cochrane, G.R., Golden, N.E., Dartnell, P., Hartwell, S., Cochran, S.A., and Watt, J., 2017, The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters: Ocean and Coastal Management, v. 140, p. 88-104, 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Center","active":true,"usgs":true}],"preferred":true,"id":691865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartwell, Stephen 0000-0002-3522-7526 shartwell@usgs.gov","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":146221,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen","email":"shartwell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":691866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Susan A. 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":138976,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan","email":"scochran@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":691867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":691868,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70187021,"text":"70187021 - 2017 - Evaluation of harvest and information needs for North American sea ducks","interactions":[],"lastModifiedDate":"2017-04-19T10:23:30","indexId":"70187021","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of harvest and information needs for North American sea ducks","docAbstract":"<p><span>Wildlife managers routinely seek to establish sustainable limits of sport harvest or other regulated forms of take while confronted with considerable uncertainty. A growing body of ecological research focuses on methods to describe and account for uncertainty in management decision-making and to prioritize research and monitoring investments to reduce the most influential uncertainties. We used simulation methods incorporating measures of demographic uncertainty to evaluate risk of overharvest and prioritize information needs for North American sea ducks (Tribe </span><i>Mergini</i><span>). Sea ducks are popular game birds in North America, yet they are poorly monitored and their population dynamics are poorly understood relative to other North American waterfowl. There have been few attempts to assess the sustainability of harvest of North American sea ducks, and no formal harvest strategy exists in the U.S. or Canada to guide management. The popularity of sea duck hunting, extended hunting opportunity for some populations (i.e., special seasons and/or bag limits), and population declines have led to concern about potential overharvest. We used Monte Carlo simulation to contrast estimates of allowable harvest and observed harvest and assess risk of overharvest for 7 populations of North American sea ducks: the American subspecies of common eider (</span><i>Somateria mollissima dresseri</i><span>), eastern and western populations of black scoter (</span><i>Melanitta americana</i><span>) and surf scoter (</span><i>M</i><span>. </span><i>perspicillata</i><span>), and continental populations of white-winged scoter (</span><i>M</i><span>. </span><i>fusca</i><span>) and long-tailed duck (</span><i>Clangula hyemalis</i><span>). We combined information from empirical studies and the opinions of experts through formal elicitation to create probability distributions reflecting uncertainty in the individual demographic parameters used in this assessment. Estimates of maximum growth (</span><i>r</i><sub>max</sub><span>), and therefore of allowable harvest, were highly uncertain for all populations. Long-tailed duck and American common eider appeared to be at high risk of overharvest (i.e., observed harvest &lt; allowable harvest in 5–7% and 19–26% of simulations, respectively depending on the functional form of density dependence), whereas the other populations appeared to be at moderate risk to low risk (observed harvest &lt; allowable harvest in 22–68% of simulations, again conditional on the form of density dependence). We also evaluated the sensitivity of the difference between allowable and observed harvest estimates to uncertainty in individual demographic parameters to prioritize information needs. We found that uncertainty in overall fecundity had more influence on comparisons of allowable and observed harvest than adult survival or observed harvest for all species except long-tailed duck. Although adult survival was characterized by less uncertainty than individual components of fecundity, it was identified as a high priority information need given the sensitivity of growth rate and allowable harvest to this parameter. Uncertainty about population size was influential in the comparison of observed and allowable harvest for 5 of the 6 populations where it factored into the assessment. While this assessment highlights a high degree of uncertainty in allowable harvest, it provides a framework for integration of improved data from future research and monitoring. It could also serve as the basis for harvest strategy development as management objectives and regulatory alternatives are specified by the management community.</span></p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0175411","usgsCitation":"Koneff, M.D., Zimmerman, G.S., Dwyer, C.P., Fleming, K.K., Padding, P.I., Devers, P.K., Johnson, F.A., Runge, M.C., and Roberts, A.J., 2017, Evaluation of harvest and information needs for North American sea ducks: PLoS ONE, v. 12, no. 4, p. 1-29, https://doi.org/10.1371/journal.pone.0175411.","productDescription":"e0175411; 29 p.","startPage":"1","endPage":"29","ipdsId":"IP-076232","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0175411","text":"Publisher Index Page"},{"id":339928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"58f87798e4b0b7ea54521be6","contributors":{"authors":[{"text":"Koneff, Mark D.","contributorId":191128,"corporation":false,"usgs":false,"family":"Koneff","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":691927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":691928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, Chris P.","contributorId":127734,"corporation":false,"usgs":false,"family":"Dwyer","given":"Chris","email":"","middleInitial":"P.","affiliations":[{"id":7131,"text":"United States Department of the Interior, United States Fish and Wildlife Service, Northeast Region, Division of Migratory Birds, Hadley, MA 01035, USA.","active":true,"usgs":false}],"preferred":false,"id":691929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleming, Kathleen K.","contributorId":191129,"corporation":false,"usgs":false,"family":"Fleming","given":"Kathleen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padding, Paul I.","contributorId":191130,"corporation":false,"usgs":false,"family":"Padding","given":"Paul","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":691931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":691926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":691933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, Anthony J.","contributorId":191131,"corporation":false,"usgs":false,"family":"Roberts","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":691955,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70190113,"text":"70190113 - 2017 - Mineralization dynamics of metakaolin-based alkali-activated cements","interactions":[],"lastModifiedDate":"2017-08-12T08:49:10","indexId":"70190113","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5475,"text":"Cement and Concrete Research","active":true,"publicationSubtype":{"id":10}},"title":"Mineralization dynamics of metakaolin-based alkali-activated cements","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\"><p id=\"sp0065\">This paper investigates the early-age dynamics of mineral formation in metakaolin-based alkali-activated cements. The effects of silica availability and alkali content on mineral formation were investigated<span>&nbsp;</span><i>via</i><span>&nbsp;</span>X-ray diffraction and solid-state<span>&nbsp;</span><sup>29</sup>Si magic-angle spinning nuclear magnetic resonance spectroscopy at 2, 7, 14, and 28&nbsp;days. Silica availability was controlled by using either liquid- (immediate) or solid-based (gradual) sodium silicate supplements. Mineral (zeolitic) and amorphous microstructural characteristics were correlated with observed changes in bulk physical properties, namely shrinkage, density, and porosity. Results demonstrate that, while alkali content controls the mineralization in immediately available silica systems, alkali content controls the silica availability in gradually available silica systems. Immediate silica availability generally leads to a more favorable mineral formation as demonstrated by correlated improvements in bulk physical properties.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cemconres.2017.01.001","usgsCitation":"Gevaudan, J.P., Campbell, K.M., Kane, T., Shoemaker, R.K., and Srubar, W.V., 2017, Mineralization dynamics of metakaolin-based alkali-activated cements: Cement and Concrete Research, v. 94, p. 1-12, https://doi.org/10.1016/j.cemconres.2017.01.001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-080147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cemconres.2017.01.001","text":"Publisher Index Page"},{"id":344782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59901398e4b09fa1cb178927","contributors":{"authors":[{"text":"Gevaudan, Juan Pablo","contributorId":195585,"corporation":false,"usgs":false,"family":"Gevaudan","given":"Juan","email":"","middleInitial":"Pablo","affiliations":[],"preferred":false,"id":707541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kane, Tyler 0000-0003-2511-7312 tkane@usgs.gov","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":195588,"corporation":false,"usgs":true,"family":"Kane","given":"Tyler","email":"tkane@usgs.gov","affiliations":[],"preferred":true,"id":707544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoemaker, Richard K.","contributorId":195586,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":707542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Srubar, Wil V. III","contributorId":195587,"corporation":false,"usgs":false,"family":"Srubar","given":"Wil","suffix":"III","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":707543,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206543,"text":"70206543 - 2017 - Fracture propagation and stability of ice shelves governed by ice shelf heterogeneity","interactions":[],"lastModifiedDate":"2019-11-08T09:50:36","indexId":"70206543","displayToPublicDate":"2017-04-18T09:47:26","publicationYear":"2017","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":"Fracture propagation and stability of ice shelves governed by ice shelf heterogeneity","docAbstract":"<p><span>Tabular iceberg calving and ice shelf retreat occurs after full‐thickness fractures, known as rifts, propagate across an ice shelf. A quickly evolving rift signals a threat to the stability of Larsen C, the Antarctic Peninsula's largest ice shelf. Here we reveal the influence of ice shelf heterogeneity on the growth of this rift, with implications that challenge existing notions of ice shelf stability. Most of the rift extension has occurred in bursts after overcoming the resistance of suture zones that bind together neighboring glacier inflows. We model the stresses in the ice shelf to determine potential rift trajectories. Calving perturbations to ice flow will likely reach the grounding line. The stability of Larsen C may hinge on a single suture zone that stabilizes numerous upstream rifts. Elevated fracture toughness of suture zones may be the most important property that allows ice shelves to modulate Antarctica's contribution to sea level rise.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL072648","usgsCitation":"Borstad, C., Mcgrath, D., and Pope, A., 2017, Fracture propagation and stability of ice shelves governed by ice shelf heterogeneity: Geophysical Research Letters, v. 44, no. 9, p. 4186-4194, https://doi.org/10.1002/2017GL072648.","productDescription":"9 p.","startPage":"4186","endPage":"4194","ipdsId":"IP-083481","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":469918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl072648","text":"Publisher Index Page"},{"id":369084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Larsen C Ice Shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.1376953125,\n              -74.86788912917916\n            ],\n            [\n              -59.32617187499999,\n              -74.86788912917916\n            ],\n            [\n              -59.32617187499999,\n              -68.62454366344708\n            ],\n            [\n              -66.1376953125,\n              -68.62454366344708\n            ],\n            [\n              -66.1376953125,\n              -74.86788912917916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Borstad, Chris","contributorId":220412,"corporation":false,"usgs":false,"family":"Borstad","given":"Chris","email":"","affiliations":[{"id":40166,"text":"UNIS","active":true,"usgs":false}],"preferred":false,"id":774921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":774920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Allen","contributorId":220413,"corporation":false,"usgs":false,"family":"Pope","given":"Allen","email":"","affiliations":[{"id":40167,"text":"NSIDC","active":true,"usgs":false}],"preferred":false,"id":774922,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70180073,"text":"ofr20161123 - 2017 - Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California","interactions":[],"lastModifiedDate":"2017-04-19T10:03:02","indexId":"ofr20161123","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","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":"2016-1123","title":"Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California","docAbstract":"<p>The Piedmont Thrust Fault, herein referred to as the Piedmont Reverse Fault (PRF), is a splay of the Hayward Fault that trends through a highly populated area of the City of Oakland, California (fig. 1A). Although the PRF is unlikely to generate a large-magnitude earthquake, slip on the PRF or high-amplitude seismic energy traveling along the PRF may cause considerable damage during a large earthquake on the Hayward Fault. Thus, it is important to determine the exact location, geometry (particularly dip), and lateral extent of the PRF within the densely populated Oakland area. In the near surface, the PRF juxtaposes Late Cretaceous sandstone (of the Franciscan Complex Novato Quarry terrane of Blake and others, 1984) and an older Pleistocene alluvial fan unit along much of its mapped length (fig. 1B; Graymer and others, 1995). The strata of the Novato Quarry unit vary greatly in strike (NW, NE, and E), dip direction (NE, SW, E, and NW), dip angle (15° to 85°), and lithology (shale and sandstone), and the unit has been intruded by quartz diorite in places. Thus, it is difficult to infer the structure of the fault, particularly at depth, with conventional seismic reflection imaging methods. To better determine the location and shallow-depth geometry of the PRF, we used high-resolution seismic imaging methods described by Catchings and others (2014). These methods involve the use of coincident P-wave (compressional wave) and S-wave (shear wave) refraction tomography and reflection data, from which tomographic models of P- and S-wave velocity and P-wave reflection images are developed. In addition, the coincident P-wave velocity (VP) and S-wave velocity (VS) data are used to develop tomographic models of VP/VS ratios and Poisson’s ratio, which are sensitive to shallow-depth faulting and groundwater. In this study, we also compare measurements of Swave velocities determined from surface waves with those determined from refraction tomography. We use the combination of seismic methods to infer the fault location, dip, and the National Earthquake Hazards Reduction Program (NEHRP) site classification along the seismic profile. Our seismic study is a smaller part of a larger study of the PRF by Trench and others (2016).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161123","usgsCitation":"Catchings, R.D., Goldman, M.R., Trench, David, Buga, Michael, Chan, J.H., Criley, C.J., and Strayer, L.M., 2017, Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California: U.S. Geological Survey Open-File Report 2016–1123, 22 p., https://dx.doi.org/10.3133/ofr20161123.","productDescription":"iii, 22 p.","onlineOnly":"Y","ipdsId":"IP-073235","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339832,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1123/ofr20161123.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1123"},{"id":339831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1123/coverthb.jpg"}],"country":"United States","state":"California","city":"Oakland","otherGeospatial":"Hayward Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.24727630615236,\n              37.784554114444994\n            ],\n            [\n              -122.16590881347656,\n              37.784554114444994\n            ],\n            [\n              -122.16590881347656,\n              37.83771661984569\n            ],\n            [\n              -122.24727630615236,\n              37.83771661984569\n            ],\n            [\n              -122.24727630615236,\n              37.784554114444994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Earthquake Science Center—<a href=\"http://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"http://earthquake.usgs.gov/contactus/menlo/\">Menlo Park, Calif. Office</a><br>U.S. Geological Survey&nbsp;<br>345 Middlefield Road, MS 977&nbsp;<br>Menlo Park, CA 94025&nbsp;<br><a href=\"http://earthquake.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://earthquake.usgs.gov/\">http://earthquake.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Seismic Data Acquisition<br></li><li>P-Wave Refraction Tomography Velocity Model<br></li><li>S-Wave Refraction Tomography Velocity Model<br></li><li>V<sub>P</sub>/V<sub>S</sub> Model<br></li><li>Poisson’s Ratio Model<br></li><li>Seismic Reflection Images<br></li><li>MASW and MALW S-Wave Velocity Models<br></li><li>Summary and Seismic Interpretation<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Figures<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-04-18","noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"58f725e5e4b0b7ea5451eec0","contributors":{"authors":[{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":660221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trench, David","contributorId":178632,"corporation":false,"usgs":false,"family":"Trench","given":"David","email":"","affiliations":[],"preferred":false,"id":660223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buga, Michael","contributorId":178633,"corporation":false,"usgs":false,"family":"Buga","given":"Michael","email":"","affiliations":[],"preferred":false,"id":660224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chan, Joanne H.","contributorId":191013,"corporation":false,"usgs":true,"family":"Chan","given":"Joanne","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":660225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Criley, Coyn J. 0000-0002-0227-0165 ccriley@usgs.gov","orcid":"https://orcid.org/0000-0002-0227-0165","contributorId":3312,"corporation":false,"usgs":true,"family":"Criley","given":"Coyn","email":"ccriley@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strayer, Luther M.","contributorId":139930,"corporation":false,"usgs":false,"family":"Strayer","given":"Luther","email":"","middleInitial":"M.","affiliations":[{"id":13318,"text":"California State University East Bay","active":true,"usgs":false}],"preferred":false,"id":691300,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70186980,"text":"70186980 - 2017 - Octocoral diseases in a changing ocean","interactions":[],"lastModifiedDate":"2017-04-18T13:56:52","indexId":"70186980","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Octocoral diseases in a changing ocean","docAbstract":"Octocorals (Cnidaria, Octocorallia) constitute a geographically widely distributed and common group of marine invertebrates commonly referred to as “soft-corals,” “sea fans,” “horny corals,” “sea feathers,” and “sea plumes.” They are found from shallow coastal habitats to mesophotic and abyssal depths. Octocorals are important members of most Atlantic-Caribbean, Indo-Pacific, and Mediterranean coastal and mesophotic reef communities; however, information about their susceptibility to diseases, predation, and competition, and their relationship with changing environmental conditions is limited. At least 19 diseases have been observed in at least 42 common octocoral species throughout their range. Twelve of these have been reported in the wider Caribbean (CA), one in Brazil (BR), two in the Mediterranean (ME), one in the Eastern Pacific (EP), and three in the western Pacific (WP). Pathogenic and/or environmental causes have been identified for eight diseases, including viruses, terrestrial fungi, protozoans, bacteria and cyanobacteria, filamentous algae, parasitic copepods, and high temperature. Only a few of the suspected pathogens have been tested with Koch’s postulates. At least eight disease outbreaks have led to extensive octocoral mortalities in the CA, ME, BR, and EP with detrimental ecological consequences. The fungal disease Aspergillosis has produced the highest mortalities in the CA and the EP. Other fungi, protozoans, and the bacterium Vibrio coralliilyticus were identified as potential causes of the death of millions of colonies in two Mediterranean disease outbreaks. Bacterial and fungal agents seemed to be responsible for the mass mortalities in Brazil and the WP. Most outbreaks in all regions were linked to high thermal anomalies associated with climate change, which seems to be the major driver. Other biological stressors such as predation and/or competition produce injuries that may contribute to the spread of infections and mortality. Overfishing of common predators could lead to population explosions of octocoral-feeding species that produced mass mortalities in some Caribbean localities. Our lack of knowledge of causes and pathogenesis of octocoral diseases parallels that of hard corals. New diseases are being described almost every year concomitant with increasing seawater temperatures. The ecological and economic consequences could be significant, with drastic changes in the seascape of shallow coral reefs and other coastal marine habitats and reduction of their ecological services. Given our limited knowledge, our best options for recovery of octocorals and coral reefs in general include sound management of coastal fisheries, development and tourism; reduction of land- and sea-based pollution; and abating effects of climate change.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine animal forests: The ecology of benthic biodiversity hotspots","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-17001-5_43-1","usgsCitation":"Weil, E., Rogers, C.S., and Croquer, A., 2017, Octocoral diseases in a changing ocean, chap. <i>of</i> Marine animal forests: The ecology of benthic biodiversity hotspots, p. 1-55, https://doi.org/10.1007/978-3-319-17001-5_43-1.","productDescription":"55 p.","startPage":"1","endPage":"55","ipdsId":"IP-075734","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":339857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"58f725e4e4b0b7ea5451eebe","contributors":{"authors":[{"text":"Weil, Ernesto","contributorId":191048,"corporation":false,"usgs":false,"family":"Weil","given":"Ernesto","email":"","affiliations":[],"preferred":false,"id":691655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Caroline S. 0000-0001-9056-6961 caroline_rogers@usgs.gov","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":3126,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","email":"caroline_rogers@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":691654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croquer, Aldo","contributorId":191049,"corporation":false,"usgs":false,"family":"Croquer","given":"Aldo","email":"","affiliations":[],"preferred":false,"id":691656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188857,"text":"70188857 - 2017 - Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults","interactions":[],"lastModifiedDate":"2017-06-26T14:45:27","indexId":"70188857","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults","docAbstract":"<p id=\"p-1\">We present the longest record of surface afterslip on a continental strike‐slip fault for the 2004 <strong>M</strong>&nbsp;6.0 Parkfield, California, earthquake, from which we can derive critical information about the duration and predictability of afterslip relevant to urban displacement hazard applications. Surface slip associated with this event occurred entirely postseismically along the interseismically creeping (0.6–1.5  cm/yr) main trace of the San Andreas fault. Using the first year of afterslip data, the program AFTER correctly predicted the cumulative surface afterslip (maximum ∼35  cm) eventually attained. By 1&nbsp;yr postearthquake, observed afterslip had accumulated to only ∼74% of its modeled final value <i>u</i><sub><i>f</i></sub> in units of length. The 6‐yr data suggested final slip would be reached everywhere by ∼6–12  yrs.</p><p id=\"p-2\">Parkfield’s afterslip lasted much longer (∼6–12  yrs) than afterslip following a 2014 <strong>M</strong>&nbsp;6.0 event in Napa, California, where no interseismic creep was known, and its afterslip neared completion (∼97% of <i>u</i><sub><i>f</i></sub>) by 1&nbsp;yr. The uncertainty in <i>u</i><sub><i>f</i></sub> for the Napa event fell to ≤2  cm in only three months, versus in 2 yrs for the Parkfield event, mostly because duration of the power‐law stage of afterslip at Parkfield is much longer, ∼1000 (493–1666) days versus ∼100 (35–421) days for Napa. Because the urban Hayward fault near San Francisco, California, like the Parkfield section, exhibits interseismic creep in a similar geological regime, significant afterslip might last for up to a decade following an anticipated <strong>M</strong>≥6.7 earthquake, potentially delaying postearthquake recovery.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160321","usgsCitation":"Lienkaemper, J.J., and McFarland, F.S., 2017, Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1082-1093, https://doi.org/10.1785/0120160321.","productDescription":"12  p.","startPage":"1082","endPage":"1093","ipdsId":"IP-075209","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.91690063476562,\n              35.54116627999813\n            ],\n            [\n              -120.16708374023438,\n              35.39912537474416\n            ],\n            [\n              -120.16708374023438,\n              36.1312200154285\n            ],\n            [\n              -121.11602783203124,\n              36.09682839442643\n            ],\n            [\n              -120.91690063476562,\n              35.54116627999813\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c366d","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":700713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Forrest S.","contributorId":192264,"corporation":false,"usgs":false,"family":"McFarland","given":"Forrest","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700715,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219140,"text":"70219140 - 2017 - Identification of alginite and bituminite in rocks other than coal. 2006, 2009, and 2011 round robin exercises of the ICCP Identification of Dispersed Organic Matter Working Group","interactions":[],"lastModifiedDate":"2021-03-25T13:02:42.640779","indexId":"70219140","displayToPublicDate":"2017-04-17T07:54:22","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Identification of alginite and bituminite in rocks other than coal. 2006, 2009, and 2011 round robin exercises of the ICCP Identification of Dispersed Organic Matter Working Group","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0060\"><span>The paper presents results of round robin exercises on photomicrograph-based identification of dispersed organic matter in source rocks that represent a range of marine and&nbsp;lacustrine deposits&nbsp;from worldwide localities and cover a range of&nbsp;thermal maturities. The round robin exercises were conducted by the Identification of Dispersed Organic Matter Working Group (IDOM WG) of the International Committee for Coal and Organic&nbsp;Petrology&nbsp;(ICCP). The round robin exercises aimed to (1) assess the applicability of the established ICCP definitions of bituminite, (2) identify deficiencies and improve the existing nomenclatures, and (3) provide a basis for the revision of the bituminite and&nbsp;alginite&nbsp;definitions in the ICCP Handbook (Taylor et al., 1998). Three round robin exercises performed in 2006, 2009 and 2011 involved 18 participants from&nbsp;research laboratories&nbsp;at universities and within government and industry. Participants were asked to identify&nbsp;macerals&nbsp;on the basis of existing definitions in 129&nbsp;photomicrographs&nbsp;taken in incident white light and fluorescent mode and also in fluorescence light mode at prolonged (15</span>&nbsp;min) blue light irradiation. The results indicate that the definition of telalginite permits its positive and satisfactory agreement among the participants. In contrast, the descriptive characteristics of lamalginite referring to film-like appearance (filamentous) and lack of inner or outer structure are insufficient and inadequate to enable an unequivocal discrimination between it and telalginite. Furthermore, based on the amorphous nature of bituminite and lack of adherence to its established description and character (Taylor et al., 1998), the highest discrepancies were observed in its identification. Differentiation of bituminite from a fluorescent groundmass and in some cases from lamalginite proved to be particularly challenging. The findings of these round robin exercises are useful for improving the identification of sedimentary organic matter in source rocks and may be an important foundation for the modification of the ICCP definitions of alginite and bituminite.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2017.04.013","usgsCitation":"Kus, J., Araujo, C., Borrego, A., Flores, D., Hackley, P.C., Hamor-Vido, M., Kalaitzidis, S., Kommeren, C., Kwiecinska, B., Mastalerz, M., Mendonca Filho, J., Menezes, T., Misz-Kennan, M., Nowak, G., Petersen, H., Rallakis, D., Suarez-Ruiz, I., Sykorova, I., and Zivotić, D., 2017, Identification of alginite and bituminite in rocks other than coal. 2006, 2009, and 2011 round robin exercises of the ICCP Identification of Dispersed Organic Matter Working Group: International Journal of Coal Geology, v. 178, p. 26-38, https://doi.org/10.1016/j.coal.2017.04.013.","productDescription":"11 p.","startPage":"26","endPage":"38","ipdsId":"IP-084518","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":384665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, J.","contributorId":98523,"corporation":false,"usgs":true,"family":"Kus","given":"J.","email":"","affiliations":[],"preferred":false,"id":812936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Araujo, C.V.","contributorId":36738,"corporation":false,"usgs":true,"family":"Araujo","given":"C.V.","email":"","affiliations":[],"preferred":false,"id":812937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borrego, A.G.","contributorId":53583,"corporation":false,"usgs":true,"family":"Borrego","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":812938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flores, D.","contributorId":107915,"corporation":false,"usgs":true,"family":"Flores","given":"D.","email":"","affiliations":[],"preferred":false,"id":812939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamor-Vido, M.","contributorId":25343,"corporation":false,"usgs":true,"family":"Hamor-Vido","given":"M.","affiliations":[],"preferred":false,"id":812941,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kalaitzidis, Stavros","contributorId":255249,"corporation":false,"usgs":false,"family":"Kalaitzidis","given":"Stavros","email":"","affiliations":[],"preferred":false,"id":812942,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kommeren, C.J.","contributorId":103852,"corporation":false,"usgs":true,"family":"Kommeren","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":812943,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kwiecinska, B.","contributorId":256649,"corporation":false,"usgs":false,"family":"Kwiecinska","given":"B.","affiliations":[],"preferred":false,"id":812944,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mastalerz, M.","contributorId":217905,"corporation":false,"usgs":false,"family":"Mastalerz","given":"M.","affiliations":[{"id":33640,"text":"Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812945,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mendonca Filho, J.G.","contributorId":26128,"corporation":false,"usgs":true,"family":"Mendonca Filho","given":"J.G.","affiliations":[],"preferred":false,"id":812946,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Menezes, T.R.","contributorId":23352,"corporation":false,"usgs":true,"family":"Menezes","given":"T.R.","affiliations":[],"preferred":false,"id":812947,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Misz-Kennan, M.","contributorId":174252,"corporation":false,"usgs":false,"family":"Misz-Kennan","given":"M.","affiliations":[],"preferred":false,"id":812948,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nowak, G.J.","contributorId":256650,"corporation":false,"usgs":false,"family":"Nowak","given":"G.J.","email":"","affiliations":[],"preferred":false,"id":812949,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Petersen, H.","contributorId":178980,"corporation":false,"usgs":false,"family":"Petersen","given":"H.","email":"","affiliations":[],"preferred":false,"id":812950,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rallakis, D.","contributorId":256651,"corporation":false,"usgs":false,"family":"Rallakis","given":"D.","email":"","affiliations":[],"preferred":false,"id":812951,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Suarez-Ruiz, I.","contributorId":10598,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"I.","affiliations":[],"preferred":false,"id":812952,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sykorova, I.","contributorId":256652,"corporation":false,"usgs":false,"family":"Sykorova","given":"I.","affiliations":[],"preferred":false,"id":812953,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Zivotić, D.","contributorId":174268,"corporation":false,"usgs":false,"family":"Zivotić","given":"D.","affiliations":[],"preferred":false,"id":812954,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70186721,"text":"fs20173027 - 2017 - A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho","interactions":[],"lastModifiedDate":"2017-04-18T10:57:14","indexId":"fs20173027","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","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":"2017-3027","title":"A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho","docAbstract":"<p>The U.S. Geological Survey (USGS), in partnership with the Idaho Department of Water Resources (IDWR) and Idaho Water Resource Board (IWRB), will construct a numerical groundwater-flow model of the Treasure Valley and surrounding area. Resource managers will use the model to simulate potential anthropogenic and climatic effects on groundwater for water-supply planning and management. As part of model construction, the hydrogeologic understanding of the aquifer system will be updated with information collected during the last two decades, as well as new data collected for the study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173027","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., and Vincent, Sean, 2017, A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho: U.S. Geological Survey Fact Sheet 2017-3027, 4 p., https://doi.org/10.3133/fs20173027.","productDescription":"4 p.","ipdsId":"IP-080721","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":339801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3027/fs20173027.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3027"},{"id":339800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3027/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Treasure Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117,\n              43\n            ],\n            [\n              -115.5,\n              43\n            ],\n            [\n              -115.5,\n              44\n            ],\n            [\n              -117,\n              44\n            ],\n            [\n              -117,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, Idaho Water Science Center<br> U.S. Geological Survey<br> F.H. Newell Federal building<br> 230 Collins Road<br> Boise, ID 83702<br> <a href=\"http://id.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a></p>","tableOfContents":"<ul><li>The Treasure Valley<br></li><li>Hydrology of the Treasure Valley<br></li><li>Groundwater Modeling—A Tool for Understanding and Managing the Resource<br></li><li>Collaborative USGS-IDWR Groundwater-Flow Model Project<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-04-17","noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"58f5d43ce4b0f2e20545e401","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vincent, Sean","contributorId":190688,"corporation":false,"usgs":false,"family":"Vincent","given":"Sean","email":"","affiliations":[],"preferred":false,"id":690357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70164381,"text":"70164381 - 2017 - Capturing spatiotemporal variation in wildfires for improving postwildfire debris-flow hazard assessments","interactions":[],"lastModifiedDate":"2020-08-20T19:33:39.704722","indexId":"70164381","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Capturing spatiotemporal variation in wildfires for improving postwildfire debris-flow hazard assessments","docAbstract":"<p><span>Wildfires can increase the frequency and magnitude of catastrophic debris flows. Integrated, proactive natural hazard assessment would therefore characterize landscapes based on the potential for the occurrence and interactions of wildfires and postwildfire debris flows. This chapter presents a new modeling effort that can quantify the variability surrounding a key input to postwildfire debris-flow modeling, the amount of watershed burned at moderate to high severity, in a prewildfire context. The use of stochastic wildfire simulation captures variability surrounding the timing and location of ignitions, fire weather patterns, and ultimately the spatial patterns of watershed area burned. Model results provide for enhanced estimates of postwildfire debris-flow hazard in a prewildfire context, and multiple hazard metrics are generated to characterize and contrast hazards across watersheds. Results can guide mitigation efforts by allowing planners to identify which factors may be contributing the most to the hazard rankings of watersheds.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Natural Hazard Uncertainty Assessment: Modeling and Decision Support","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/9781119028116.ch20","usgsCitation":"Haas, J., Thompson, M.P., Tillery, A.C., and Scott, J.H., 2017, Capturing spatiotemporal variation in wildfires for improving postwildfire debris-flow hazard assessments, chap. 20 <i>of</i> Natural Hazard Uncertainty Assessment: Modeling and Decision Support, p. 301-317, https://doi.org/10.1002/9781119028116.ch20.","productDescription":"17 p.","startPage":"301","endPage":"317","ipdsId":"IP-063722","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":339816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-19","publicationStatus":"PW","scienceBaseUri":"58f5d43ce4b0f2e20545e403","contributors":{"authors":[{"text":"Haas, Jessica R.","contributorId":10735,"corporation":false,"usgs":true,"family":"Haas","given":"Jessica R.","affiliations":[],"preferred":false,"id":597127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Matthew P.","contributorId":25045,"corporation":false,"usgs":true,"family":"Thompson","given":"Matthew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":597128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Joe H.","contributorId":28913,"corporation":false,"usgs":true,"family":"Scott","given":"Joe","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":597130,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186966,"text":"70186966 - 2017 - A window of opportunity for climate-change adaptation: Easing tree mortality by reducing forest basal area","interactions":[],"lastModifiedDate":"2018-03-26T12:14:08","indexId":"70186966","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"A window of opportunity for climate-change adaptation: Easing tree mortality by reducing forest basal area","docAbstract":"<p><span>Increasing aridity as a result of climate change is expected to exacerbate tree mortality. Reducing forest basal area – the cross-sectional area of tree stems within a given ground area – can decrease tree competition, which may reduce drought-induced tree mortality. However, neither the magnitude of expected mortality increases, nor the potential effectiveness of basal area reduction, has been quantified in dryland forests such as those of the drought-prone Southwest US. We used thousands of repeatedly measured forest plots to show that unusually warm and dry conditions are related to high tree mortality rates and that mortality is positively related to basal area. Those relationships suggest that while increasing high temperature extremes forecasted by climate models may lead to elevated tree mortality during the 21st century, future tree mortality might be partly ameliorated by reducing stand basal area. This adaptive forest management strategy may provide a window of opportunity for forest managers and policy makers to guide forest transitions to species and/or genotypes more suited to future climates.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/fee.1445","usgsCitation":"Bradford, J.B., and Bell, D.M., 2017, A window of opportunity for climate-change adaptation: Easing tree mortality by reducing forest basal area: Frontiers in Ecology and the Environment, v. 15, no. 1, p. 11-17, https://doi.org/10.1002/fee.1445.","productDescription":"7 p.","startPage":"11","endPage":"17","ipdsId":"IP-073992","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469919,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1445","text":"Publisher Index 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