{"pageNumber":"587","pageRowStart":"14650","pageSize":"25","recordCount":165309,"records":[{"id":70210778,"text":"70210778 - 2020 - Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX","interactions":[],"lastModifiedDate":"2020-12-15T20:19:25.123808","indexId":"70210778","displayToPublicDate":"2020-06-23T08:45:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3536,"text":"Texas Water Journal","active":true,"publicationSubtype":{"id":10}},"title":"Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX","docAbstract":"<p><span>An overreliance on groundwater resources in the Houston (Texas) metropolitan area led to aquifer drawdowns and land subsidence, so regional water suppliers have been turning to surface water resources to meet water demand. Lake Houston, an important water supply reservoir 24 kilometers (15 miles) northeast of downtown Houston, requires new water supply sources to continue to meet water supply demands for the next several decades. The upcoming Luce Bayou Interbasin Transfer Project will divert up to 500 million gallons per day of Trinity River water into Lake Houston. Trinity River water has significantly different water quality than the Lake Houston tributaries. To evaluate the project’s potential effect on water quality, the U.S. Geological Survey used an enhanced version of a previously released Lake Houston hydrodynamic model. With a focus on salinity and water-surface elevations, the model combined data from 2009 to 2017 with simulated flow from the Luce Bayou Interbasin Transfer to evaluate potential outcomes from three hypothetical flow scenarios. Overall, these scenarios found that the Luce Bayou Interbasin Transfer would cause salinities to moderately rise over most of the modeled time (2009–2017), although salinities were buffered under 2011 drought conditions. Large inflow events equalized salinities under baseline conditions as well as the enhanced flow scenarios.</span></p>","language":"English","publisher":"Texas Water Resources Institute","doi":"10.21423/twj.v11i1.7094","usgsCitation":"Smith, E.A., and Shah, S.D., 2020, Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX: Texas Water Journal, v. 11, no. 1, p. 64-88, https://doi.org/10.21423/twj.v11i1.7094.","productDescription":"25 p.","startPage":"64","endPage":"88","ipdsId":"IP-107391","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456306,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21423/twj.v11i1.7094","text":"Publisher Index Page"},{"id":436921,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AVUJ73","text":"USGS data release","linkHelpText":"Lake Houston (Texas) EFDC hydrodynamic model for water-surface elevation and specific conductance simulations, 2009-2017"},{"id":375850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Lake Houston, Luce Bayou","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.11533737182616,\n              30.044430015213965\n            ],\n            [\n              -95.10314941406249,\n              30.045767374787093\n            ],\n            [\n              -95.09679794311523,\n              30.052453901811464\n            ],\n            [\n              -95.08563995361328,\n              30.081423634757307\n            ],\n            [\n              -95.07431030273438,\n              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sdshah@usgs.gov","orcid":"https://orcid.org/0000-0002-5440-5535","contributorId":194450,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin","email":"sdshah@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211703,"text":"70211703 - 2020 - A newly emerging thermal area in Yellowstone","interactions":[],"lastModifiedDate":"2020-08-07T13:44:28.762634","indexId":"70211703","displayToPublicDate":"2020-06-23T08:39:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"A newly emerging thermal area in Yellowstone","docAbstract":"Yellowstone is a large restless caldera that contains many dynamic thermal areas that are the surface expression of the deeper magmatic system. In 2018, using a Landsat 8 nighttime thermal infrared image, we discovered the emergence of a new thermal area located near Tern Lake on the northeast margin of the Sour Creek dome. A high-spatial-resolution airborne visible image from August 2017 revealed a large (~33,000 m2) area of recently fallen trees, mostly devoid of vegetation, with bright soil, similar to other nearby thermal areas. Field observations in August 2019 confirmed that this was a steam-heated acid-sulfate thermal area, with an arc-shaped zone of hydrothermally altered soil and heated ground, with surface temperatures of 60-80 °C, several steaming fumaroles, and boiling temperatures (93 °C) just beneath the surface. Fallen trees in contact with warm ground were being carbonized, yet there were some cooler areas with new trees growing. Observations of stressed or dying vegetation from archived satellite and airborne remote sensing data going back to 1994 indicated that this thermal area started emerging around 2000. It increased in size slowly until around 2005, when the radiative heat output started measurably increasing. From 2005 to 2012 it grew more rapidly; and from 2012 through 2019 the growth rate slowed and the heat output stabilized. We predict that this stabilizing trend will continue in the coming years. The initial formation of this new thermal area was not clearly linked to any distinct seismic or geodetic events, although the period of rapid growth partly coincided with a period of rapid local uplift, possibly suggesting a causative relationship. The identification of this emerging thermal area illustrates the importance of satellite thermal infrared imaging combined with high-spatial-resolution remote sensing data and field observations for mapping, measuring, and monitoring Yellowstone's thermal areas. It is also an example of the dynamics we expect to observe within large caldera systems like Yellowstone, where changes in the size and distribution of thermal areas are normal and do not indicate an impending eruption nor any significant changes in the broader magmatic system.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2020.00204","usgsCitation":"Vaughan, R.G., Hungerford, J., and Keller, B., 2020, A newly emerging thermal area in Yellowstone: Frontiers in Earth Science, v. 8, 204, 19 p., https://doi.org/10.3389/feart.2020.00204.","productDescription":"204, 19 p.","ipdsId":"IP-115041","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":456310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00204","text":"Publisher Index Page"},{"id":377169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05529785156249,\n              43.31718491566705\n            ],\n            [\n              -108.907470703125,\n              43.31718491566705\n            ],\n            [\n              -108.907470703125,\n              45.01141864227728\n            ],\n            [\n              -111.05529785156249,\n              45.01141864227728\n            ],\n            [\n              -111.05529785156249,\n              43.31718491566705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughan, R. Greg 0000-0002-0850-6669","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":69030,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hungerford, Jefferson 0000-0003-2651-2285","orcid":"https://orcid.org/0000-0003-2651-2285","contributorId":229552,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":795179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Bill","contributorId":237086,"corporation":false,"usgs":false,"family":"Keller","given":"Bill","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":795180,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210864,"text":"70210864 - 2020 - Surface displacement distributions for the July 2019 Ridgecrest, California earthquake ruptures","interactions":[],"lastModifiedDate":"2020-08-27T14:59:49.382006","indexId":"70210864","displayToPublicDate":"2020-06-23T07:55:09","publicationYear":"2020","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":"Surface displacement distributions for the July 2019 Ridgecrest, California earthquake ruptures","docAbstract":"<p><span>Surface rupture in the 2019 Ridgecrest, California, earthquake sequence occurred along two orthogonal cross faults and includes dominantly left‐lateral and northeast‐striking rupture in the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">M<sub>w</sub></span></span></span></span></span></span></span><span>&nbsp;6.4 foreshock and dominantly right‐lateral and northwest‐striking rupture in the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-6\" class=\"math\"><span><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"msub\"><span id=\"MathJax-Span-9\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-10\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 mainshock. We present&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>650</mn></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-14\" class=\"mn\">650</span></span></span></span></span></span><span>&nbsp;field‐based, surface‐displacement observations for these ruptures and synthesize our results into cumulative along‐strike displacement distributions. Using these data, we calculate displacement gradients and compare our results with historical strike‐slip ruptures in the eastern California shear zone. For the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-15\" class=\"math\"><span><span id=\"MathJax-Span-16\" class=\"mrow\"><span id=\"MathJax-Span-17\" class=\"msub\"><span id=\"MathJax-Span-18\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-19\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;6.4 rupture, we report 96 displacements measured along 18&nbsp;km of northeast‐striking rupture. Cumulative displacement curves for the rupture yield a mean left‐lateral displacement of 0.3–0.5&nbsp;m and maximum of 0.7–1.6&nbsp;m. Net mean vertical displacement based on the difference of down‐to‐the‐west (DTW) and down‐to‐the‐east (DTE) displacement curves is close to zero (0.02&nbsp;m DTW). The&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-20\" class=\"math\"><span><span id=\"MathJax-Span-21\" class=\"mrow\"><span id=\"MathJax-Span-22\" class=\"msub\"><span id=\"MathJax-Span-23\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-24\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;6.4 displacement distribution shows that the majority of displacement occurred southwest of the intersection with the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-25\" class=\"math\"><span><span id=\"MathJax-Span-26\" class=\"mrow\"><span id=\"MathJax-Span-27\" class=\"msub\"><span id=\"MathJax-Span-28\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-29\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 rupture. The&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-30\" class=\"math\"><span><span id=\"MathJax-Span-31\" class=\"mrow\"><span id=\"MathJax-Span-32\" class=\"msub\"><span id=\"MathJax-Span-33\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-34\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 rupture is northwest‐striking and 50&nbsp;km long based on 576 field measurements. Displacement curves indicate a mean right‐lateral displacement of 1.2–1.7&nbsp;m and a maximum of 4.3–7.0&nbsp;m. Net vertical displacement in the rupture averages 0.3&nbsp;m DTW. The&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-35\" class=\"math\"><span><span id=\"MathJax-Span-36\" class=\"mrow\"><span id=\"MathJax-Span-37\" class=\"msub\"><span id=\"MathJax-Span-38\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-39\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 displacement distributions demonstrate that maximum displacement occurred along a 12‐km‐long portion of the fault near the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-40\" class=\"math\"><span><span id=\"MathJax-Span-41\" class=\"mrow\"><span id=\"MathJax-Span-42\" class=\"msub\"><span id=\"MathJax-Span-43\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-44\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 epicenter, releasing 66% of the geologically based seismic moment along 24% of the total rupture length. Using our displacement distributions, we calculate kilometer‐scale displacement gradients for the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-45\" class=\"math\"><span><span id=\"MathJax-Span-46\" class=\"mrow\"><span id=\"MathJax-Span-47\" class=\"msub\"><span id=\"MathJax-Span-48\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-49\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 rupture. The steepest gradients (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-11-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>3</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-50\" class=\"math\"><span><span id=\"MathJax-Span-51\" class=\"mrow\"><span id=\"MathJax-Span-52\" class=\"mo\">∼</span><span id=\"MathJax-Span-53\" class=\"mn\">1</span><span id=\"MathJax-Span-54\" class=\"mo\">–</span><span id=\"MathJax-Span-55\" class=\"mn\">3</span><span id=\"MathJax-Span-56\" class=\"mtext\">  </span><span id=\"MathJax-Span-57\" class=\"mi\">m</span><span id=\"MathJax-Span-58\" class=\"mo\">/</span><span id=\"MathJax-Span-59\" class=\"mi\">km</span></span></span></span></span>⁠</span><span>) flank the 12‐km‐long region of maximum displacement. In contrast, gradients for the 1992&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-12-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-60\" class=\"math\"><span><span id=\"MathJax-Span-61\" class=\"mrow\"><span id=\"MathJax-Span-62\" class=\"msub\"><span id=\"MathJax-Span-63\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-64\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.3 Landers and 1999&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-13-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-65\" class=\"math\"><span><span id=\"MathJax-Span-66\" class=\"mrow\"><span id=\"MathJax-Span-67\" class=\"msub\"><span id=\"MathJax-Span-68\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-69\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 Hector Mine earthquakes are&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-14-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>0.6</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-70\" class=\"math\"><span><span id=\"MathJax-Span-71\" class=\"mrow\"><span id=\"MathJax-Span-72\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-73\" class=\"mn\">0.6</span><span id=\"MathJax-Span-74\" class=\"mtext\">  </span><span id=\"MathJax-Span-75\" class=\"mi\">m</span><span id=\"MathJax-Span-76\" class=\"mo\">/</span><span id=\"MathJax-Span-77\" class=\"mi\">km</span></span></span></span></span></span><span>. Our displacement distributions are important for understanding the influence of cross‐fault rupture on&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-15-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-78\" class=\"math\"><span><span id=\"MathJax-Span-79\" class=\"mrow\"><span id=\"MathJax-Span-80\" class=\"msub\"><span id=\"MathJax-Span-81\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-82\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;6.4 and 7.1 rupture length and displacement and will facilitate comparisons with distributions generated remotely and at broader scales.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200058","usgsCitation":"DuRoss, C., Gold, R.D., Dawson, T.E., Scharer, K., Kendrick, K.J., Akciz, S., Angster, S.J., Bachhuber, J., Bacon, S., Bennett, S.E., Blair, L., Brooks, B.A., Bullard, T., Burgess, W.P., Chupik, C., DeFrisco, M., Delano, J., Dolan, J.D., Frost, E., Graehl, N., Haddon, E., Hatem, A.E., Hernandez, J., Hitchcock, C.S., Hudnut, K., Thompson Jobe, J., Koehler, R.D., Kozaci, O., Ladinsky, T.C., Madugo, C., McPhillips, D., Milliner, C., Morelan, A., Olson, B., Patton, J., Philibosian, B.E., Pickering, A.J., Pierce, I., Ponti, D.J., Seitz, G.G., Spangler, E., Swanson, B.J., Thomas, K., Treiman, J., Valencia, F., Williams, A., and Zinke, R., 2020, Surface displacement distributions for the July 2019 Ridgecrest, California earthquake ruptures: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1400-1418, https://doi.org/10.1785/0120200058.","productDescription":"19 p.","startPage":"1400","endPage":"1418","ipdsId":"IP-118212","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":436922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P986ILE2","text":"USGS data release","linkHelpText":"Surface Displacement Observations of the 2019 Ridgecrest, California Earthquake Sequence"},{"id":376011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.2183837890625,\n              35.22767235493586\n            ],\n            [\n              -116.96594238281249,\n              35.22767235493586\n            ],\n            [\n              -116.96594238281249,\n              36.13787471840729\n            ],\n            [\n              -118.2183837890625,\n              36.13787471840729\n            ],\n            [\n              -118.2183837890625,\n              35.22767235493586\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":791768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":791769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. 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,{"id":70228741,"text":"70228741 - 2020 - Response: Commentary: Variability in Shelf Sedimentation in Response to Fluvial Sediment Supply and Coastal Erosion Over the Past 1,000 Years in Monterey Bay, CA, United States","interactions":[],"lastModifiedDate":"2022-02-17T13:24:03.253731","indexId":"70228741","displayToPublicDate":"2020-06-23T07:19:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Response: Commentary: Variability in Shelf Sedimentation in Response to Fluvial Sediment Supply and Coastal Erosion Over the Past 1,000 Years in Monterey Bay, CA, United States","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2020.00210","usgsCitation":"Carlin, J., Addison, J.A., Wagner, A., Schwartz, V.E., Hayward, J., and Severin, V., 2020, Response: Commentary: Variability in Shelf Sedimentation in Response to Fluvial Sediment Supply and Coastal Erosion Over the Past 1,000 Years in Monterey Bay, CA, United States: Frontiers in Earth Science, v. 8, 210, 3 p., https://doi.org/10.3389/feart.2020.00210.","productDescription":"210, 3 p.","ipdsId":"IP-114834","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00210","text":"Publisher Index Page"},{"id":396093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlin, Joe 0000-0002-6626-4127","orcid":"https://orcid.org/0000-0002-6626-4127","contributorId":279636,"corporation":false,"usgs":false,"family":"Carlin","given":"Joe","email":"","affiliations":[{"id":57322,"text":"California State University - Fullerton","active":true,"usgs":false}],"preferred":false,"id":835247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":835248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Amy","contributorId":279638,"corporation":false,"usgs":false,"family":"Wagner","given":"Amy","email":"","affiliations":[{"id":57324,"text":"California State University - Sacramento","active":true,"usgs":false}],"preferred":false,"id":835249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Valerie Evelyn 0000-0003-2874-8435","orcid":"https://orcid.org/0000-0003-2874-8435","contributorId":279639,"corporation":false,"usgs":true,"family":"Schwartz","given":"Valerie","email":"","middleInitial":"Evelyn","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":835250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayward, Jamie","contributorId":279640,"corporation":false,"usgs":false,"family":"Hayward","given":"Jamie","email":"","affiliations":[{"id":57322,"text":"California State University - Fullerton","active":true,"usgs":false}],"preferred":false,"id":835251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Severin, Victoria","contributorId":279641,"corporation":false,"usgs":false,"family":"Severin","given":"Victoria","email":"","affiliations":[{"id":57322,"text":"California State University - Fullerton","active":true,"usgs":false}],"preferred":false,"id":835252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210732,"text":"ofr20201066 - 2020 - Sample-size considerations for a study of shorebird nest survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska","interactions":[],"lastModifiedDate":"2020-06-24T17:11:34.675769","indexId":"ofr20201066","displayToPublicDate":"2020-06-22T12:30:12","publicationYear":"2020","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":"2020-1066","displayTitle":"Sample-Size Considerations for a Study of Shorebird Nest Survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska","title":"Sample-size considerations for a study of shorebird nest survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska","docAbstract":"<p>Authorization of lease sales for oil development in the 1002 Area of the Arctic National Wildlife Refuge has highlighted gaps in information about biological communities in the area. The U.S. Fish and Wildlife Service, which is planning a study to evaluate spatial variation in the nest survival of tundra-breeding shorebirds to identify hotspots with high nest survival, sought advice from the U.S. Geological Survey on how to predict which sampling designs might be successful in achieving the study goals. I used previously obtained data on nest survival from Alaska’s North Slope to develop a simulation study that explored the statistical consequences of various sampling designs in the context of expected ranges of values of biological parameters. Of all sampling parameters, the number of nests per plot had the strongest influence on the ability to detect hotspots, followed by number of years of monitoring and the age at which nests were found. The benefit of sampling 98 plots instead of 68 was relatively small. Ages of nests cannot be predicted a priori, so I developed a field reference chart to identify when further nest-searching would be useful for a given plot. This simulation study used the best available information, but values of biological parameters will become better defined following subsequent data collection in the 1002 Area. Data from upcoming field seasons could be used to refine this analysis and improve estimation of the expected results of the field study, thus maximizing the likelihood that data from the 1002 Area nest survival study will meet the monitoring goals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201066","collaboration":"U.S. Geological Survey Wildlife Program","usgsCitation":"Weiser, E., 2020, Sample-size considerations for a study of shorebird nest survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska: U.S. Geological Survey Open-File Report 2020–1066, 18 p., https://doi.org/10.3133/ofr20201066","productDescription":"iv, 18 p.","onlineOnly":"Y","ipdsId":"IP-116976","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":375788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1066/coverthb.jpg"},{"id":375789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1066/ofr20201066.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1066"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.6318359375,\n              68.56038368664157\n            ],\n            [\n              -141.1083984375,\n              68.56038368664157\n            ],\n            [\n              -141.1083984375,\n              71.81512993041657\n            ],\n            [\n              -157.6318359375,\n              71.81512993041657\n            ],\n            [\n              -157.6318359375,\n              68.56038368664157\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2020-06-22","noUsgsAuthors":false,"publicationDate":"2020-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":206605,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":791165,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211119,"text":"70211119 - 2020 - The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire","interactions":[],"lastModifiedDate":"2020-07-16T17:44:25.115906","indexId":"70211119","displayToPublicDate":"2020-06-22T11:14:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire","docAbstract":"<p><span>Wildland fires have a multitude of ecological effects in forests, woodlands, and savannas across the globe. A major focus of past research has been on tree mortality from fire, as trees provide a vast range of biological services. We assembled a database of individual-tree records from prescribed fires and wildfires in the United States. The Fire and Tree Mortality (FTM) database includes records from 164,293 individual trees with records of fire injury (crown scorch, bole char, etc.), tree diameter, and either mortality or top-kill up to ten years post-fire. Data span 142 species and 62 genera, from 409 fires occurring from 1981-2016. Additional variables such as insect attack are included when available. The FTM database can be used to evaluate individual fire-caused mortality models for pre-fire planning and post-fire decision support, to develop improved models, and to explore general patterns of individual fire-induced tree death. The database can also be used to identify knowledge gaps that could be addressed in future research.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-020-0522-7","usgsCitation":"Cansler, C., Hood, S.M., Varner, J., van Mantgem, P., Agne, M.C., Andrus, R.A., Ayres, M.P., Ayres, B.D., Bakker, J., Battaglia, M.A., Bentz, B.J., Breece, C.R., Brown, J.K., Cluck, D.R., Coleman, T.W., Corace, R.G., Covington, W.W., Cram, D.S., Cronan, J.B., Crouse, J.E., Das, A., Davis, R.S., Dickinson, D.M., Fitzgerald, S.A., Fule, P., Ganio, L.M., Grayson, L.M., Halpern, C.B., Hanula, J.L., Harvey, B.J., Hiers, J.K., Huffman, D.W., Keifer, M., Keyser, T.L., Kobziar, L.N., Kolb, T.E., Kolden, C.A., Kopper, K.E., Kreitler, J.R., Kreye, J.K., Latimer, A.M., Lerch, A.P., Lombardero, M.J., McDaniel, V.L., McHugh, C.W., McMillin, J.D., Moghaddas, J.J., O’Brien, J.J., Perrakis, D.D., Peterson, D.W., Pritchard, S.J., Progar, R.A., Raffa, K.F., Reinhardt, E.D., Restaino, J.C., 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,{"id":70212605,"text":"70212605 - 2020 - Turtles and tortoises are in trouble","interactions":[],"lastModifiedDate":"2020-08-25T13:36:49.027235","indexId":"70212605","displayToPublicDate":"2020-06-22T10:41:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"Turtles and tortoises are in trouble","docAbstract":"<p><span>Turtles and tortoises (chelonians) have been integral components of global ecosystems for about 220 million years and have played important roles in human culture for at least 400,000 years. The chelonian shell is a remarkable evolutionary adaptation, facilitating success in terrestrial, freshwater and marine ecosystems. Today, more than half of the 360 living species and 482 total taxa (species and subspecies combined) are threatened with extinction. This places chelonians among the groups with the highest extinction risk of any sizeable vertebrate group. Turtle populations are declining rapidly due to habitat loss, consumption by humans for food and traditional medicines and collection for the international pet trade. Many taxa could become extinct in this century. 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Given not only their inherent structural flexibility depending on the type of guest gas molecules and formation conditions, but also the synthetic effects of a wide range of chemical additives on their properties, these variabilities could be exploited to optimise the role of gas hydrates.  This includes increasing their industrial applications, understanding and utilising their role in Nature, identifying potential methods for safely extracting natural gases stored in naturally occurring hydrates within the Earth, and for developing green technologies. This review summarizes the different properties of gas hydrates as well as their formation and dissociation kinetics and then reviews the fast-growing literature reporting their role and applications in the aforementioned fields, mainly concentrating on advances during the last decade. Challenges, limitations, and future perspectives of each field are briefly discussed. The overall objective of this review is to provide readers with an extensive overview of gas hydrates that we hope will stimulate further work on this riveting field.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C8CS00989A","usgsCitation":"Hassanpouryouzband, A., Joonaki, E., Vasheghani Farahania, M., Takeya, S., Ruppel, C.D., Yang, J., English, N., Schicks, J., Edlmann, K., Mehrabian, H., and Tohidi, B., 2020, Gas hydrates in sustainable chemistry: Chemical Society Reviews, v. 49, p. 5225-5309, https://doi.org/10.1039/C8CS00989A.","productDescription":"85 p.","startPage":"5225","endPage":"5309","ipdsId":"IP-116534","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1039/c8cs00989a","text":"Publisher Index Page"},{"id":375787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hassanpouryouzband, Aliakbar","contributorId":225426,"corporation":false,"usgs":false,"family":"Hassanpouryouzband","given":"Aliakbar","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joonaki, Edris","contributorId":225427,"corporation":false,"usgs":false,"family":"Joonaki","given":"Edris","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasheghani Farahania, Mehrdad","contributorId":225428,"corporation":false,"usgs":false,"family":"Vasheghani Farahania","given":"Mehrdad","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takeya, Satoshi","contributorId":225429,"corporation":false,"usgs":false,"family":"Takeya","given":"Satoshi","email":"","affiliations":[{"id":41106,"text":"AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":791156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Jinhai","contributorId":225430,"corporation":false,"usgs":false,"family":"Yang","given":"Jinhai","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"English, Neill","contributorId":225431,"corporation":false,"usgs":false,"family":"English","given":"Neill","email":"","affiliations":[{"id":41107,"text":"University College Dublin, Ireland","active":true,"usgs":false}],"preferred":false,"id":791159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schicks, Judith","contributorId":225432,"corporation":false,"usgs":false,"family":"Schicks","given":"Judith","email":"","affiliations":[{"id":41108,"text":"GFZ Postdam","active":true,"usgs":false}],"preferred":false,"id":791160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edlmann, Katriona","contributorId":225433,"corporation":false,"usgs":false,"family":"Edlmann","given":"Katriona","email":"","affiliations":[{"id":41109,"text":"University of Edinburgh,Scotland","active":true,"usgs":false}],"preferred":false,"id":791161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mehrabian, Hadi","contributorId":225434,"corporation":false,"usgs":false,"family":"Mehrabian","given":"Hadi","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":791162,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tohidi, Bahman","contributorId":225435,"corporation":false,"usgs":false,"family":"Tohidi","given":"Bahman","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791163,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70223191,"text":"70223191 - 2020 - The 1933 Long Beach Earthquake (California, USA): Ground motions and rupture scenario","interactions":[],"lastModifiedDate":"2021-08-17T12:40:37.989468","indexId":"70223191","displayToPublicDate":"2020-06-22T07:39:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"The 1933 Long Beach Earthquake (California, USA): Ground motions and rupture scenario","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>We present a synoptic analysis of the ground motions from the 11 March 1933 Mw 6.4 Long Beach, California, earthquake, the largest known earthquake within the central Los Angeles Basin region. Our inferred shaking intensity pattern supports the association of the earthquake with the Newport-Inglewood fault; it further illuminates the concentration of severe damage in the town of Compton, where accounts suggest vertical ground motions exceeding 1 <i>g</i>. We use a broadband simulation approach to develop a rupture scenario for this earthquake, informed by the damage distribution. The predicted shaking for a 25-km-long fault matches the intensity distribution, with an indication that non-linear site response on soft sediments in some near-field regions was stronger than predicted using a simple model to account for non-linearity. Our results suggest that the concentration of damage near Compton can be explained by a combination of local site amplification, source-controlled directivity, and three-dimensional basin effects whereby energy was channeled towards the deepest part of the Los Angeles Basin.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-66299-w","usgsCitation":"Hough, S.E., and Graves, R., 2020, The 1933 Long Beach Earthquake (California, USA): Ground motions and rupture scenario: Scientific Reports, v. 10, 10017, 10 p., https://doi.org/10.1038/s41598-020-66299-w.","productDescription":"10017, 10 p.","ipdsId":"IP-119086","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":456331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-66299-w","text":"Publisher Index Page"},{"id":387981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Long Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.33923339843749,\n              33.678639851675555\n            ],\n            [\n              -118.0206298828125,\n              33.678639851675555\n            ],\n            [\n              -118.0206298828125,\n              33.88865750124075\n            ],\n            [\n              -118.33923339843749,\n              33.88865750124075\n            ],\n            [\n              -118.33923339843749,\n              33.678639851675555\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2020-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210711,"text":"ofr20201067 - 2020 - Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","interactions":[],"lastModifiedDate":"2020-06-22T14:34:37.361537","indexId":"ofr20201067","displayToPublicDate":"2020-06-22T07:18:53","publicationYear":"2020","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":"2020-1067","displayTitle":"Water-Quality, Bed-Sediment, and Invertebrate Tissue Trace-Element Concentrations for Tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","title":"Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","docAbstract":"<p>Water, bed sediment, and invertebrate tissue were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin. The sampling program was completed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and monitor trace elements associated with historical mining and smelting activities. Sampling sites were on the river and tributaries of the Clark Fork. Water samples were collected periodically at 20 sites from October 2017 through September 2018. Bed-sediment and tissue samples were collected once at 13 sites during August 2018.</p><p>Water-quality data included concentrations of major ions, dissolved organic carbon, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Daily values of turbidity were determined at four sites. Bed-sediment data included trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data included trace-element concentrations in whole-body tissue of aquatic benthic invertebrates. Statistical summaries of water-quality, bed-sediment, and invertebrate tissue trace element data for sites in the Clark Fork Basin were provided for the period of record: March 1985–September 2018.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201067","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Clark, G.D., Hornberger, M.I., Cleasby, T.E., Heinert, T.L., and Turner, M.A., 2020, Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018: U.S. Geological Survey Open-File Report 2020–1067, 16 p., https://doi.org/10.3133/ofr20201067.","productDescription":"Report: vi, 16 p.; Data Release; Dataset","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-115189","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":375701,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98IRLJF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-quality, bed-sediment, and invertebrate tissue trace element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018"},{"id":375700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1067/ofr20201067.pdf","text":"Report","size":"1.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1067"},{"id":375699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1067/coverthb.jpg"},{"id":375702,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System","description":"NWIS","linkHelpText":"— USGS Water Data for the Nation"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.345703125,\n              45.24395342262324\n            ],\n            [\n              -111.181640625,\n              45.24395342262324\n            ],\n            [\n              -111.181640625,\n              47.264320080254805\n            ],\n            [\n              -114.345703125,\n              47.264320080254805\n            ],\n            [\n              -114.345703125,\n              45.24395342262324\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\" href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Boseman Avenue <br>Helena, MT 59601</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Sampling Locations and Data Types</li><li>Trace-Element Concentrations and Physical Properties of Surface Water Samples</li><li>Bed-Sediment Data</li><li>Tissue Concentrations</li><li>Statistical Summaries of Data</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-06-22","noUsgsAuthors":false,"publicationDate":"2020-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleasby, Thomas E. 0000-0003-0694-1541","orcid":"https://orcid.org/0000-0003-0694-1541","contributorId":21993,"corporation":false,"usgs":true,"family":"Cleasby","given":"Thomas E.","affiliations":[],"preferred":false,"id":791066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinert, Terry L. 0000-0002-7478-1415 theinert@usgs.gov","orcid":"https://orcid.org/0000-0002-7478-1415","contributorId":4398,"corporation":false,"usgs":true,"family":"Heinert","given":"Terry","email":"theinert@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":791067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Matthew A. 0000-0002-4472-7071 mturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-7071","contributorId":173017,"corporation":false,"usgs":true,"family":"Turner","given":"Matthew A.","email":"mturner@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":791068,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210743,"text":"70210743 - 2020 - Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2021-07-02T13:39:10.581031","indexId":"70210743","displayToPublicDate":"2020-06-21T10:06:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA","docAbstract":"This review aims to synthesize the current knowledge of sediment dynamics using insights from long‐term research conducted in the watershed draining to the Chesapeake Bay, the largest estuary in the U.S., to inform management actions to restore the estuary and its watershed. The sediment dynamics of the Chesapeake are typical of many impaired watersheds and estuaries around the world, and this synthesis is intended to be relevant and transferable to other sediment‐impaired systems. The watershed's sediment sources, transport, delivery, and impacts are discussed with implications for effectively implementing best management practices (BMPs) to mitigate sediment issues. This synthesis revealed three key issues to consider when planning actions to reduce sediment loading: Scale, time, and land use. Geology and historical land use generated a template that current land use and climate, in addition to management, are acting upon to control sediment delivery. Important sediment sources in the Chesapeake include the Piedmont physiographic region, urban, and agricultural land use, and streambank erosion of headwater streams, whereas floodplain trapping is important along larger streams and rivers. Implementation of BMPs is widespread and is predicted to lead to decreased sediment loading; however, reworking of legacy sediment stored in stream valleys, with potentially long residence times in storage, can delay and complicate detection of the effects of BMPs on sediment loads. In conclusion, the improved understanding of sediment sources, storage areas, and transport lag times reviewed here can help target choices of BMP types and locations to better manage sediment problems—for both local streams and receiving waters.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1454","usgsCitation":"Noe, G.E., Cashman, M.J., Skalak, K., Gellis, A.C., Hopkins, K.G., Moyer, D.L., Webber, J.S., Benthem, A.J., Maloney, K.O., Brakebill, J., Sekellick, A.J., Langland, M.J., Zhang, Q., Shenk, G.W., Keisman, J.L., and Hupp, C.R., 2020, Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA: WIREs Water, v. 4, no. 7, e1454, 28 p., https://doi.org/10.1002/wat2.1454.","productDescription":"e1454, 28 p.","ipdsId":"IP-107592","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":456332,"rank":0,"type":{"id":40,"text":"Open Access 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]\n}","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":791200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moyer, Douglas L. 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":174389,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benthem, Adam J. 0000-0003-2372-0281","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":220000,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791203,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":791204,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brakebill, John 0000-0001-9235-6810","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":211038,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791205,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sekellick, Andrew J. 0000-0002-0440-7655","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":215462,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791206,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791207,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":791208,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791209,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791210,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791211,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70228546,"text":"70228546 - 2020 - Balancing fish-energy-cost tradeoffs through strategic basin-wide dam management","interactions":[],"lastModifiedDate":"2022-02-14T20:23:17.020586","indexId":"70228546","displayToPublicDate":"2020-06-20T15:22:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3267,"text":"Resources, Conservation and Recycling","active":true,"publicationSubtype":{"id":10}},"title":"Balancing fish-energy-cost tradeoffs through strategic basin-wide dam management","docAbstract":"<p>Dam management often involves tradeoffs among hydropower generation capacity, environmental impacts, and project costs. However, our understandings of such tradeoffs under a full range of dam management options remain limited, which hinders our ability to make sound and scientifically defensible dam management decisions. In order to assess the scope for theoretical tradeoffs, a dynamic model of hydropower production, important fish populations, and project costs was developed using the system dynamics modeling technique. Three dam management options investigated the likely outcomes from: dam removal, fishway installation (e.g., pool-and-weir, Denil, and fish lift), and no action. The model was applied to the Penobscot River located in Maine, United States as a proof of concept, where recent actions (i.e., dam removal and fishway construction) have been undertaken. We modeled theoretical influence of these actions on four significant sea-run fish (alewife <i>Alosa pseudoharengus</i>, American shad <i>Alosa sapidissima</i>, Atlantic salmon <i>Salmo salar</i>, and sea lamprey <i>Petromyzon marinus</i>) by developing an index of spawner population potential based on population models for each species. Optimal dam management solutions may maximize spawner population potential and energy production to 60-62% of maximum achievable values while limiting the project cost to US$17 million (44% of the maximum value). Our results demonstrate that basin-scale management strategies may increase the migratory fish restoration while preserving hydropower generation capacity. Diversification of management options (e.g., combination of fishway installations, dam removals, and generation capacity) may increase the efficacy of strategic fish-energy-cost tradeoffs.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.resconrec.2020.104990","usgsCitation":"Song, C., O’Malley, A., Zydlewski, J.D., and Mo, W., 2020, Balancing fish-energy-cost tradeoffs through strategic basin-wide dam management: Resources, Conservation and Recycling, v. 161, 104990, 12 p., https://doi.org/10.1016/j.resconrec.2020.104990.","productDescription":"104990, 12 p.","ipdsId":"IP-117399","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resconrec.2020.104990","text":"Publisher Index Page"},{"id":395927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.8126220703125,\n              44.286502899553156\n            ],\n            [\n              -67.63458251953125,\n              44.286502899553156\n            ],\n            [\n              -67.63458251953125,\n              45.79625461321962\n            ],\n            [\n              -69.8126220703125,\n              45.79625461321962\n            ],\n            [\n              -69.8126220703125,\n              44.286502899553156\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Cuihong","contributorId":265998,"corporation":false,"usgs":false,"family":"Song","given":"Cuihong","email":"","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":834541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Malley, Andrew","contributorId":169716,"corporation":false,"usgs":false,"family":"O’Malley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":834542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":834540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mo, Weiwei","contributorId":266002,"corporation":false,"usgs":false,"family":"Mo","given":"Weiwei","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":834543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228453,"text":"70228453 - 2020 - The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk","interactions":[],"lastModifiedDate":"2022-02-11T19:12:12.37835","indexId":"70228453","displayToPublicDate":"2020-06-20T12:14:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk","docAbstract":"<p>Climate change and human population growth have increased anthropogenic threats to biodiversity and habitat fragmentation. Ecologists and conservationists need tools to assess the effect of these ecological and environmental perturbations on organismal fitness. One possibility is glucocorticoids (e.g., cortisol and corticosterone) which integrate various factors such as anthropogenic disturbances, predation, food, or environmental stressors. Here we tested the hypothesis that fecal glucocorticoid metabolite concentrations (GCMs) in wild female elk (<i>Cervus canadensis</i>) increased as the hunting season progressed. We also examined the influence of year, food availability, and elk group size on fecal GCMs. We found that as the hunting season progressed, fecal GCMs tended to decrease. We also found that as the number of cows in a group increased, GCMs decreased, and found a strong effect of year on fecal GCMs, with samples collected in 2016 having lower fecal GCMs than those collected in 2015, 2017, and 2018. However, yearly variation was not driven by availability of hard mast forage. The lack of positive association between hunting pressure and fecal GCMs and identifying what is driving yearly variation in fecal GCMs warrants further study. We highlight the negative influence of group size, possibly due to vigilance, on fecal GCMs and the importance of examining ecologically relevant covariates to accurately identify main treatment effects.</p>","language":"English","doi":"10.2981/wlb.00683","usgsCitation":"Ensminger, D.C., Pritchard, C., Langkilde, T., Gingery, T., Banfield, J.E., and Walter, W., 2020, The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk: Wildlife Biology, v. 2, 8 p., https://doi.org/10.2981/wlb.00683.","productDescription":"8 p.","ipdsId":"IP-115818","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00683","text":"Publisher Index Page"},{"id":395856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":834341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gingery, Tess","contributorId":275823,"corporation":false,"usgs":false,"family":"Gingery","given":"Tess","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banfield, Jeremiah E.","contributorId":275824,"corporation":false,"usgs":false,"family":"Banfield","given":"Jeremiah","email":"","middleInitial":"E.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834338,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210744,"text":"70210744 - 2020 - Effects of harmful algal blooms and associated water-quality on endangered Lost River and shortnose suckers","interactions":[],"lastModifiedDate":"2020-06-23T15:25:45.030512","indexId":"70210744","displayToPublicDate":"2020-06-20T10:17:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Effects of harmful algal blooms and associated water-quality on endangered Lost River and shortnose suckers","docAbstract":"<p><span>Anthropogenic eutrophication contributes to harmful blooms of cyanobacteria in freshwater ecosystems worldwide. In Upper Klamath Lake, Oregon, massive blooms of&nbsp;</span><i>Aphanizomenon flos-aquae</i><span>&nbsp;and smaller blooms of other cyanobacteria are associated with cyanotoxins, hypoxia, high pH, high concentrations of ammonia, and potentially hypercapnia. Recovery of the endangered Lost River sucker&nbsp;</span><i>Deltistes luxatus</i><span>&nbsp;and shortnose sucker&nbsp;</span><i>Chasmistes brevirostris</i><span>&nbsp;in Upper Klamath Lake is obstructed by low survival in the juvenile life stage. Water quality associated with the harmful algal blooms and their decomposition (crashes) is often singled out as the primary cause of juvenile sucker mortality. We investigated this general hypothesis with a review of relevant literature and data from decades of monitoring in Upper Klamath Lake. Microcystins, hepatotoxins produced by some cyanobacteria, are unlikely to be directly lethal to suckers; potential effects of other cyanotoxins that are present in the lake warrant investigation. Dissolved-oxygen saturation declined following bloom crashes, but was infrequently low enough for long enough in Upper Klamath Lake to cause direct sucker mortality. Hypercapnia could potentially reach lethal concentrations in the fall and winter, but did not appear to be associated with the summer algal blooms. pH was highest during peaks in cyanobacteria growth, but infrequently reached directly lethal levels (&gt; 10.3). However, pH frequently reached an observed sub-lethal effect level for juvenile suckers (10.0). Un-ionized ammonia rarely exceeded even the lowest effect level measured for suckers. Rather than act as a direct cause of large-scale mortality, the available evidence suggests that water quality associated with massive blooms of cyanobacteria in Upper Klamath Lake contributes to chronic stress for juvenile suckers and may increase mortality due to other factors.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2020.101847","usgsCitation":"Burdick, S.M., Hewitt, D., Martin, B.A., Schenk, L.N., and Rounds, S.A., 2020, Effects of harmful algal blooms and associated water-quality on endangered Lost River and shortnose suckers: Harmful Algae, v. 97, 101847, 20 p., https://doi.org/10.1016/j.hal.2020.101847.","productDescription":"101847, 20 p.","ipdsId":"IP-109018","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":375815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.81777954101561,\n              42.08905095219165\n            ],\n            [\n              -121.73675537109374,\n              42.21733067375916\n            ],\n            [\n              -121.78619384765624,\n              42.36970554816487\n            ],\n            [\n              -121.89605712890624,\n              42.49235259142821\n            ],\n            [\n              -121.90017700195312,\n              42.53992763032448\n            ],\n            [\n              -121.92489624023436,\n              42.60566321006408\n            ],\n            [\n              -122.00454711914061,\n              42.58544425738491\n            ],\n            [\n              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barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rounds, Stewart A. 0000-0002-8540-2206","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":205029,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791216,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228940,"text":"70228940 - 2020 - Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA","interactions":[],"lastModifiedDate":"2022-02-24T16:03:02.114215","indexId":"70228940","displayToPublicDate":"2020-06-20T09:59:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"displayTitle":"Habitat associations and distributions of two endemic crayfishes, <i>Cambarus</i> (<i>Erebicambarus</i>) <i>maculatus</i> Hobbs & Pflieger, 1988 and <i>Faxonius</i> (<i>Billecambarus</i>) <i>harrisonii</i> (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA","title":"Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA","docAbstract":"<p><span>Understanding the habitat associations and distributions of rare species is important to inform management and policy decisions.&nbsp;</span><i>Cambarus</i><span>&nbsp;(</span><i>Erebicambarus</i><span>)&nbsp;</span><i>maculatus</i><span>&nbsp;&nbsp;</span><span id=\"jumplink-CIT0044\" class=\"xrefLink\"></span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"CIT0044\">Hobbs &amp; Pflieger, 1988</a><span>, the freckled crayfish, and&nbsp;</span><i>Faxonius</i><span>&nbsp;(</span><i>Billecambarus</i><span>)&nbsp;</span><i>harrisonii</i><span>&nbsp;(</span><span id=\"jumplink-CIT0033\" class=\"xrefLink\"></span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"CIT0033\">Faxon, 1884</a><span>), the belted crayfish, are two of Missouri’s endemic crayfish species. Both species are listed as Vulnerable (S3) on Missouri’s Species and Communities of Conservation Concern Checklist due to their limited range within the Meramec River drainage (MRD) and the impact of anthropogenic activities therein. Their distributional overlap offers an opportunity for multi-species research to address gaps in information required for conservation. We sampled 140 sites throughout the MRD during the summers of 2017 and 2018 for crayfishes and associated habitat variables, which we related to crayfish presence in an occupancy modeling framework. We found that&nbsp;</span><i>C. maculatus</i><span>&nbsp;occupancy was associated with larger stream size, boulder substrate, dolomite lithology, aquatic vegetation beds, dissolved oxygen, and pool mesohabitat.&nbsp;</span><i>Faxonius harrisonii</i><span>&nbsp;occupancy increased with boulder substrate, aquatic vegetation beds, the presence of&nbsp;</span><i>C. maculatus</i><span>, and decreased in third-order streams. We also expanded the known range for both species within the MRD. Range estimates (watershed area) for&nbsp;</span><i>C. maculatus</i><span>&nbsp;and&nbsp;</span><i>F. harrisonii</i><span>&nbsp;were 4,347 km</span><sup>2</sup><span>&nbsp;and 3,690 km</span><sup>2</sup><span>, respectively. This study demonstrates the importance of targeted rather than opportunistic sampling for species distribution.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jcbiol/ruaa033","usgsCitation":"Chilton, J., Rosenberger, A.E., and DiStefano, R., 2020, Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA, v. 40, no. 4, p. 351-363, https://doi.org/10.1093/jcbiol/ruaa033.","productDescription":"13 p.","startPage":"351","endPage":"363","ipdsId":"IP-123414","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456340,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jcbiol/ruaa033","text":"Publisher Index Page"},{"id":396426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Meramec River drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.90887451171875,\n              37.54239958054064\n            ],\n            [\n              -90.428466796875,\n              37.54239958054064\n            ],\n            [\n              -90.428466796875,\n              38.59970036588819\n            ],\n            [\n              -91.90887451171875,\n              38.59970036588819\n            ],\n            [\n              -91.90887451171875,\n              37.54239958054064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Chilton, J.","contributorId":280068,"corporation":false,"usgs":false,"family":"Chilton","given":"J.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":835981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiStefano, Robert  J.","contributorId":213268,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert  J.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":835982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210930,"text":"70210930 - 2020 - Divergent biotic and abiotic filtering of root endosphere and rhizosphere soil fungal communities along ecological gradients","interactions":[],"lastModifiedDate":"2020-07-07T14:16:05.435292","indexId":"70210930","displayToPublicDate":"2020-06-20T09:12:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"Divergent biotic and abiotic filtering of root endosphere and rhizosphere soil fungal communities along ecological gradients","docAbstract":"Plant roots assemble two distinct microbial compartments: the rhizosphere (microbes in soil surrounding roots) and the endosphere (microbes within roots). Our knowledge of fungal community assembly in these compartments is limited, especially in wetlands. We tested the hypothesis that biotic factors would have direct effects on rhizosphere and endosphere assembly, while abiotic factors would have direct and indirect effects. Using a field study, we examined the influences of salinity, water level and biotic factors on baldcypress (Taxodium distichum) fungal communities. We found that endosphere fungi were correlated with host density and canopy cover as opposed to rhizosphere, suggesting that hosts can impose selective filters on fungi colonizing into their roots. Meanwhile, local abiotic conditions strongly influenced both rhizosphere and endosphere diversity in opposite patterns: e.g. highest endosphere diversity (hump-shaped) while lowest rhizosphere diversity (U-shaped) at intermediate salinity levels. These results indicate that the assembly and structure for the root endosphere and rhizosphere within a host can be shaped by different processes. Our results also highlight the importance of assessing how environmental changes affect plant and plant-associated fungal communities in wetland ecosystems where saltwater intrusion and sea level rise are major threats to both plant and fungal communities.","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsec/fiaa124","usgsCitation":"Lumibao, C.Y., Kimbrough, E., Day, R., Conner, W.H., Krauss, K., and Van Bael, S.A., 2020, Divergent biotic and abiotic filtering of root endosphere and rhizosphere soil fungal communities along ecological gradients: FEMS Microbiology Ecology, v. 96, no. 7, fiaa124, https://doi.org/10.1093/femsec/fiaa124.","productDescription":"fiaa124","ipdsId":"IP-102460","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":376149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lumibao, Candice Y 0000-0002-1414-7949","orcid":"https://orcid.org/0000-0002-1414-7949","contributorId":228830,"corporation":false,"usgs":false,"family":"Lumibao","given":"Candice","email":"","middleInitial":"Y","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":792200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimbrough, Elizabeth 0000-0002-4007-6304","orcid":"https://orcid.org/0000-0002-4007-6304","contributorId":228831,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Elizabeth","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":792201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":222817,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":792203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Bael, Sunshine A 0000-0001-7317-3533","orcid":"https://orcid.org/0000-0001-7317-3533","contributorId":228832,"corporation":false,"usgs":false,"family":"Van Bael","given":"Sunshine","email":"","middleInitial":"A","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":792205,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212869,"text":"70212869 - 2020 - 3D fault architecture controls the dynamism of earthquake swarm","interactions":[],"lastModifiedDate":"2020-09-02T01:05:58.372079","indexId":"70212869","displayToPublicDate":"2020-06-19T20:03:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"3D fault architecture controls the dynamism of earthquake swarm","docAbstract":"<p><span>The vibrant evolutionary patterns made by earthquake swarms are incompatible with standard, effectively two-dimensional (2D) models for general fault architecture. We leverage advances in earthquake monitoring with a deep-learning algorithm to image a fault zone hosting a 4-year-long swarm in southern California. We infer that fluids are naturally injected into the fault zone from below and diffuse through strike-parallel channels while triggering earthquakes. A permeability barrier initially limits up-dip swarm migration but ultimately is circumvented. This enables fluid migration within a shallower section of the fault with fundamentally different mechanical properties. Our observations provide high-resolution constraints on the processes by which swarms initiate, grow, and arrest. These findings illustrate how swarm evolution is strongly controlled by 3D variations in fault architecture.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.abb0779","usgsCitation":"Ross, Z., Cochran, E.S., Trugman, D., and Smith, J., 2020, 3D fault architecture controls the dynamism of earthquake swarm: Science, v. 368, no. 6497, p. 1357-1361, https://doi.org/10.1126/science.abb0779.","productDescription":"5 p.","startPage":"1357","endPage":"1361","ipdsId":"IP-118187","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":456344,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1739984","text":"External Repository"},{"id":378083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368","issue":"6497","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Z.","contributorId":215300,"corporation":false,"usgs":false,"family":"Ross","given":"Z.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":797732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trugman, D.","contributorId":173991,"corporation":false,"usgs":false,"family":"Trugman","given":"D.","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":797734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Jonathan D.","contributorId":239737,"corporation":false,"usgs":false,"family":"Smith","given":"Jonathan D.","affiliations":[],"preferred":false,"id":797735,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228559,"text":"70228559 - 2020 - Using reproductive potential to assess oyster population sustainability","interactions":[],"lastModifiedDate":"2022-02-14T21:02:57.728758","indexId":"70228559","displayToPublicDate":"2020-06-19T16:02:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using reproductive potential to assess oyster population sustainability","docAbstract":"<p>Ensuring that oysters remain sustainable in the face of significant coastal restoration activities, high local subsidence rates, and predicted sea-level rise requires a deeper understanding of basic population demographics, including reproductive potential. We quantified fecundity (eggs ind<sup>−1</sup>) of oysters at high- and low-salinity sites during a fall and spring spawn season. We assessed the relationships between oyster size, the relative proportion of females across size classes, and fecundity. Finally, we quantified reproductive potential (eggs m<sup>−2</sup>) of an engineered reef by connecting fecundity with annual oyster population demographic data as a means to assess population sustainability. The proportion of females generally increased with shell height, achieving a population with &gt;50% females in Biloxi oysters &gt;75 mm, and Grand Isle oysters &gt;100 mm. Fecundity across both sites and seasons ranged from approximately 2,000 to &gt;55 million eggs oyster<sup>−1</sup>. Mean fecundity generally increased with shell height, varying significantly by site, with Grand Isle (high salinity) oysters having greater fecundity than Biloxi (low salinity) oysters. Fecundity did not differ by season. Mean reproductive potential (eggs m<sup>−2</sup>) was driven by density and size distribution. Reefs with high densities and higher counts of market-sized oysters had reproductive potentials 5× greater than those with low densities and low counts of juvenile oysters. With increasing changes in water quality from coastal management and climate, impacts on oyster reproduction may critically impact population sustainability. Reproductive potential provides critical data to assess individual reef ecosystem services, and to assess the potential for maintenance of local metapopulations.</p>","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.13225","usgsCitation":"Marshall, D., Moore, S., Sutor, M., La Peyre, J.F., and La Peyre, M., 2020, Using reproductive potential to assess oyster population sustainability: Restoration Ecology, v. 28, no. 6, p. 1621-1632, https://doi.org/10.1111/rec.13225.","productDescription":"12 p.","startPage":"1621","endPage":"1632","ipdsId":"IP-118044","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499854,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.lsu.edu/animalsciences_pubs/795","text":"External Repository"},{"id":395940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.2691650390625,\n              29.563901551414418\n            ],\n            [\n              -89.3353271484375,\n              29.563901551414418\n            ],\n            [\n              -89.3353271484375,\n              30.259067203213018\n            ],\n            [\n              -90.2691650390625,\n              30.259067203213018\n            ],\n            [\n              -90.2691650390625,\n              29.563901551414418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":834590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Samuel C.","contributorId":276133,"corporation":false,"usgs":false,"family":"Moore","given":"Samuel C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":834591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutor, Malinda","contributorId":276134,"corporation":false,"usgs":false,"family":"Sutor","given":"Malinda","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":834592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":177346,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":834593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210730,"text":"ofr20201056 - 2020 - Envisioning a multi-agency and multi-academic institution geomorphology data exchange portal","interactions":[],"lastModifiedDate":"2020-06-22T11:33:00.458228","indexId":"ofr20201056","displayToPublicDate":"2020-06-19T11:14:24","publicationYear":"2020","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":"2020-1056","displayTitle":"Envisioning a Multi-Agency and Multi-Academic Institution Geomorphology Data Exchange Portal","title":"Envisioning a multi-agency and multi-academic institution geomorphology data exchange portal","docAbstract":"<p>Access to bathymetry and geomorphology data for rivers and reservoirs is a critical need in multiple agencies and academia. These data are needed to make water-resource-management decisions regarding river restoration, resource protection, infrastructure design and sustainability, and flood-risk reduction, and during natural disasters. Sharing of data increases decision-making capacity by incorporating information from entire watersheds, provides knowledge from similar settings being managed or studied by other entities, and helps meet the goals of the Federal Open Water Data Initiative. Addressing these needs across broad spatial and temporal scales would be made more efficient if these data were available in consistent formats with standardized metadata and were either stored in a centralized database or integrated with existing geospatial datasets. Because of renewed interest and technological advances, representatives from multiple Federal agencies and academic institutions have created a new working group to scope the development of a Geomorphology Data Exchange Portal to increase access to needed data. The working group has developed a vision for the Portal and outlined possible approaches to achieve the vision. Short-term approaches may include leveraging existing data-access portals and data-processing tools and integrating geomorphology data with existing national geospatial datasets.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201056","collaboration":"USGS Water Observing Systems Program<br />Prepared in cooperation with the U.S. Army Corps of Engineers,<br />Regional Sediment Management Program","usgsCitation":"Wood, M.S., and Boyd, P.M., 2020, Envisioning a multi-agency and multi-academic institution geomorphology data exchange portal: U.S. Geological Survey Open-File Report 2020–1056, 19 p., https://doi.org/10.3133/ofr20201056.","productDescription":"vi, 19 p.","onlineOnly":"Y","ipdsId":"IP-115141","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":375782,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1056/coverthb.jpg"},{"id":375783,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1056/ofr20201056.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1056"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Office of Associate Director, Water</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction and Vision</li><li>Goals and Use Cases</li><li>History</li><li>Primary Challenges</li><li>Primary Data Needs</li><li>Proposed Framework</li><li>Project Activities in Fiscal Year 2019</li><li>Possible Approaches to Meet the Goals</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. 2011 Working Group Meeting Agenda and Attendees</li><li>Appendix 2. 2019 Working Group Meeting Agenda and Attendees</li></ul>","publishedDate":"2020-06-19","noUsgsAuthors":false,"publicationDate":"2020-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":791151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Paul M","contributorId":215066,"corporation":false,"usgs":false,"family":"Boyd","given":"Paul","email":"","middleInitial":"M","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":791152,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70213330,"text":"70213330 - 2020 - Colonisation of the alpine tundra by trees: Alpine neighbours assist late-seral but not early-seral conifer seedlings","interactions":[],"lastModifiedDate":"2021-01-19T16:38:08.4036","indexId":"70213330","displayToPublicDate":"2020-06-19T09:59:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6513,"text":"Plant Ecology & Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Colonisation of the alpine tundra by trees: Alpine neighbours assist late-seral but not early-seral conifer seedlings","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1\"><h2 id=\"_i2\" class=\"section-heading-2\">Background</h2><p>Climate change is projected to alter the elevation and latitude of treeline globally. Seed germination and seedling survival are critical controls on treeline expansion. Neighbouring alpine plants, either through competition for resources or through altered microclimate, also affect seedlings emerging in the alpine zone. With warming, alpine plant species may interact with each other more or less strongly.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><h2 id=\"_i3\" class=\"section-heading-2\">Aims</h2><p>To determine whether establishing tree seedlings and an alpine herb are similarly sensitive to alpine plant neighbours under ambient and altered climate.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><h2 id=\"_i4\" class=\"section-heading-2\">Methods</h2><p>We imposed active heating, watering, and removed all plants adjacent to emerging conifer seedlings and an alpine herb.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><h2 id=\"_i5\" class=\"section-heading-2\">Results</h2><p><i>Picea engelmannii</i><span>&nbsp;</span>seedlings showed lower survival compared with<span>&nbsp;</span><i>Pinus flexilis</i><span>&nbsp;</span>3 weeks following neighbour removal, and after 1 year only survived in watered plots.<span>&nbsp;</span><i>Pinus</i><span>&nbsp;</span>seedlings responded to neighbour removal by lowering the quantum yield of photosynthesis (ϕ<sub>PSII</sub>). Contrary to expectations from the stress gradient hypothesis, survival was reduced without neighbours near the low-elevation range limit of<span>&nbsp;</span><i>Chionophila jamesii</i>.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><h2 id=\"_i6\" class=\"section-heading-2\">Conclusions</h2><p><i>Pinus flexilis</i><span>&nbsp;</span>has higher expansion potential into the alpine, while<span>&nbsp;</span><i>Picea engelmannii</i><span>&nbsp;</span>requires moist conditions that could be facilitated by neighbours to expand its range. This implies likely range expansion by<span>&nbsp;</span><i>P. flexilis</i><span>&nbsp;</span>with consequences for alpine plant diversity and ecosystem function.</p></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17550874.2020.1762134","usgsCitation":"Jabis, M.D., Germino, M., and Kueppers, L., 2020, Colonisation of the alpine tundra by trees: Alpine neighbours assist late-seral but not early-seral conifer seedlings: Plant Ecology & Diversity, v. 13, no. 3-4, p. 209-224, https://doi.org/10.1080/17550874.2020.1762134.","productDescription":"16 p.","startPage":"209","endPage":"224","ipdsId":"IP-111030","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":456347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17550874.2020.1762134","text":"Publisher Index Page"},{"id":378507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Front Range, Niwot Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.64418792724608,\n              40.04463470626146\n            ],\n            [\n              -105.58273315429688,\n              40.04463470626146\n            ],\n            [\n              -105.58273315429688,\n              40.06578911650409\n            ],\n            [\n              -105.64418792724608,\n              40.06578911650409\n            ],\n            [\n              -105.64418792724608,\n              40.04463470626146\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2020-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Jabis, Meredith D.","contributorId":240882,"corporation":false,"usgs":false,"family":"Jabis","given":"Meredith","email":"","middleInitial":"D.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":799043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":799044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kueppers, Lara M.","contributorId":240883,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara M.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":799045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210923,"text":"70210923 - 2020 - Hurricane Sandy effects on coastal marsh elevation change","interactions":[],"lastModifiedDate":"2020-09-24T14:26:25.740789","indexId":"70210923","displayToPublicDate":"2020-06-19T09:19:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane Sandy effects on coastal marsh elevation change","docAbstract":"High-magnitude storm events such as Hurricane Sandy are powerful agents of geomorphic change in coastal marshes, potentially altering their surface elevation trajectories. But how do a storm’s impacts vary across a large region spanning a variety of wetland settings and storm exposures and intensities. We determined the short-term impacts of Hurricane Sandy at 223 surface elevation table–marker horizon stations in estuarine marshes located across the northeast region of the United States by comparing post-storm surface elevation change with pre-storm elevation trends. We hypothesized that the storm’s effect on marsh elevation trends would be influenced by position relative to landfall (right or left) and distance from landfall. The structural equation model presented predicts that marshes located to the left of landfall were more likely to experience an elevation gain greater than expected, and this positive deviation from pre-storm elevation trends tended to have a greater magnitude than those experiencing negative deviations (elevation loss), potentially due to greater sediment deposition. The magnitude of negative deviations from elevation change in marshes to the right of landfall was greater than for positive deviations, with a greater effect in marshes within 200 km of landfall, potentially from the extent and magnitude of storm surge. Overall, results provide an integrated picture of how storm characteristics combined with the local wetland setting are important to a storm’s impact on surface elevation, and that the surface elevation response can vary widely among sites across a region impacted by the same storm.","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00758-5","usgsCitation":"Yeates, A.G., Grace, J., Olker, J.H., Guntenspergen, G.R., Cahoon, D., Adamowicz, S.C., Anisfeld, S.C., Barrett, N., Benzecry, A., Blum, L.K., Christian, R.T., Grzyb, J., Kracauer Hartig, E., Hines Leo, K., Lerberg, S., Lynch, J.C., Maher, N., Megonigal, J., Reay, W.G., Siok, D., Starke, A., Turner, V., and Warren, S., 2020, Hurricane Sandy effects on coastal marsh elevation change: Estuaries and Coasts, v. 43, p. 1640-1657, https://doi.org/10.1007/s12237-020-00758-5.","productDescription":"18 p.","startPage":"1640","endPage":"1657","ipdsId":"IP-104537","costCenters":[{"id":531,"text":"Patuxent Wildlife Research 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Forsythe National Wildlife Refuge, Oceanville, NJ","active":true,"usgs":false}],"preferred":false,"id":792173,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Warren, Scott","contributorId":228821,"corporation":false,"usgs":false,"family":"Warren","given":"Scott","email":"","affiliations":[{"id":41516,"text":"Connecticut College","active":true,"usgs":false}],"preferred":false,"id":792174,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70213233,"text":"70213233 - 2020 - Changes in conservation value from grasslands to savannas to forests: How a temperate canopy cover gradient affects butterfly community composition","interactions":[],"lastModifiedDate":"2020-09-15T15:56:08.939587","indexId":"70213233","displayToPublicDate":"2020-06-19T08:40:30","publicationYear":"2020","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":"Changes in conservation value from grasslands to savannas to forests: How a temperate canopy cover gradient affects butterfly community composition","docAbstract":"<p><span>Temperate savannas and grasslands are globally threatened. In the Midwest United States of America (USA), for example, oak savannas persist today at a small percentage of recent historic coverage. Therefore, restoration of habitats of low and intermediate canopy cover is a landscape conservation priority that often emphasizes returning tree density to a savanna-like target value. Understanding how animal species react to such changes in vegetation structure is important for assessing the value of these restoration plans. We examined how butterfly community attributes in northwest Indiana USA, including community composition, richness, and abundance responded to a grassland-to-forest gradient of canopy cover. Butterfly community composition under intermediate canopy cover differed significantly from community composition in the most open or closed-canopy habitats. Composition of the plant community in flower was a significant predictor of three assessed attributes of the butterfly community—composition, richness, and abundance. Phenology, expressed as day-of-the-year, was also a strong predictor of these butterfly community attributes. Few butterfly species were habitat specialists as adults although canopy cover was a more important predictor of adult community composition than of richness or abundance of butterflies. Therefore, adult butterfly community differences along the canopy cover gradient were less about butterfly communities filled with habitat specialists for different canopy-defined habitats and more about gradual changes in community composition along this gradient. Overall, butterfly community richness was predicted to peak at about 34% canopy cover, butterfly abundance at about 53% canopy cover, community conservation value at about 59% canopy cover, and a combination of desirable conservation attributes–high diversity, high abundance, and high conservation value–was predicted to reach a peak of co-occurrence at about 67% canopy cover suggesting that habitats of intermediate canopy cover might be particularly effective for butterfly conservation in this region.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0234139","usgsCitation":"Grundel, R., Dulin, G.S., and Pavlovic, N.B., 2020, Changes in conservation value from grasslands to savannas to forests: How a temperate canopy cover gradient affects butterfly community composition: PLoS ONE, v. 15, no. 6, e0234139, 22 p., https://doi.org/10.1371/journal.pone.0234139.","productDescription":"e0234139, 22 p.","ipdsId":"IP-102152","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":456354,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0234139","text":"Publisher Index Page"},{"id":436923,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TYX2AG","text":"USGS data release","linkHelpText":"Butterfly community abundance and distribution along a gradient of woody vegetation density at Indiana Dunes National Lakeshore, Hoosier Prairie Nature Preserve, and Tefft Savanna Nature Preserve, Indiana 1998-1999"},{"id":378395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Hoosier Prairie Nature Preserve, Indiana Dunes National Lakeshore (now National Park), Tefft Savanna Nature Preserve and Jasper-Pulaski Fish and Wildlife Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.593994140625,\n              40.64730356252251\n            ],\n            [\n              -85.89111328125,\n              40.64730356252251\n            ],\n            [\n              -85.89111328125,\n              41.72213058512578\n            ],\n            [\n              -87.593994140625,\n              41.72213058512578\n            ],\n            [\n              -87.593994140625,\n              40.64730356252251\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dulin, Gary S.","contributorId":240678,"corporation":false,"usgs":false,"family":"Dulin","given":"Gary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":798704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237278,"text":"70237278 - 2020 - Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project","interactions":[],"lastModifiedDate":"2022-10-06T13:42:55.455503","indexId":"70237278","displayToPublicDate":"2020-06-19T08:38:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project","docAbstract":"<p><span>The Leica Geosystems CountryMapper hybrid system has the potential to collect data that satisfy the U.S. Geological Survey (USGS) National Geospatial Program (NGP) and 3D Elevation Program (3DEP) and the U.S. Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) requirements in a single collection. This research will help 3DEP determine if this sensor has the potential to meet current and future 3DEP topographic lidar collection requirements. We performed an accuracy analysis and assessment on the lidar point cloud produced from CountryMapper. The boresighting calibration and co-registration by georeferencing correction based on ground control points are assumed to be performed by the data provider. The scope of the accuracy assessment is to apply the following variety of ways to measure the accuracy of the delivered point cloud to obtain the error statistics. Intraswath uncertainty from a flat surface was computed to evaluate the point cloud precision. Intraswath difference between opposite scan directions and the interswath overlap difference were evaluated to find boresighting or any systematic errors. Absolute vertical accuracy over vegetated and non-vegetated areas were also assessed. Both horizontal and vertical absolute errors were assessed using the 3D absolute error analysis methodology of comparing conjugate points derived from geometric features. A three-plane feature makes a single unique intersection point. Intersection points were computed from ground-based lidar and airborne lidar point clouds for comparison. The difference between two intersection points form one error vector. The geometric feature-based error analysis was applied to intraswath, interswath, and absolute error analysis. The CountryMapper pilot data appear to satisfy the accuracy requirements suggested by the USGS lidar specification, based upon the error analysis results. The focus of this research was to demonstrate various conventional accuracy measures and novel 3D accuracy techniques using two different error computation methods on the CountryMapper airborne lidar point cloud.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12121974","usgsCitation":"Kim, M., Park, S., Irwin, J., McCormick, C., Danielson, J.J., Stensaas, G.L., Sampath, A., Bauer, M.A., and Burgess, M.A., 2020, Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project: Remote Sensing, v. 12, no. 12, 1974, 20 p., https://doi.org/10.3390/rs12121974.","productDescription":"1974, 20 p.","ipdsId":"IP-119473","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":456357,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0003-3203-1998","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":223182,"corporation":false,"usgs":true,"family":"Park","given":"Seonkyung","email":"","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":853951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":853952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Collin","contributorId":270002,"corporation":false,"usgs":false,"family":"McCormick","given":"Collin","email":"","affiliations":[],"preferred":false,"id":853953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":853954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":853955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":853956,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bauer, Mark A. 0000-0002-4156-5759 mabauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4156-5759","contributorId":224288,"corporation":false,"usgs":true,"family":"Bauer","given":"Mark","email":"mabauer@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":853957,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burgess, Matthew Alexander 0000-0003-3487-4972 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0003-3487-4972","contributorId":225090,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"Alexander","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":853958,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70210696,"text":"pp1842HH - 2020 - The effects of management practices on grassland birds—Baird’s Sparrow (<i>Centronyx bairdii</i>)","interactions":[{"subject":{"id":70210696,"text":"pp1842HH - 2020 - The effects of management practices on grassland birds—Baird’s Sparrow (<i>Centronyx bairdii</i>)","indexId":"pp1842HH","publicationYear":"2020","noYear":false,"chapter":"HH","displayTitle":"The Effects of Management Practices on Grassland Birds—Baird’s Sparrow (<i>Centronyx bairdii</i>)","title":"The effects of management practices on grassland birds—Baird’s Sparrow (<i>Centronyx bairdii</i>)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:07:44.827916","indexId":"pp1842HH","displayToPublicDate":"2020-06-18T16:00:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"HH","displayTitle":"The Effects of Management Practices on Grassland Birds—Baird’s Sparrow (<i>Centronyx bairdii</i>)","title":"The effects of management practices on grassland birds—Baird’s Sparrow (<i>Centronyx bairdii</i>)","docAbstract":"<p>Keys to Baird’s Sparrow (<i>Centronyx bairdii</i>) management are providing native or tame grasslands with moderately deep litter, controlling excessive grazing, and curtailing shrub encroachment. Baird’s Sparrows have been reported to use habitats with less than or equal to (≤) 101 centimeters (cm) average vegetation height, 3–46 cm visual obstruction reading (VOR), 15–71 percent grass cover, 5–25 percent forb cover, ≤50 percent shrub cover, less than (&lt;) 44 percent bare ground, 10–63 percent litter cover, and ≤21 cm litter depth.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842HH","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Nenneman, M.P., and Euliss, B.R., 2020, The effects of management practices on grassland birds—Baird’s Sparrow (<i>Centronyx bairdii</i>), chap. HH <i>of</i> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 21 p., https://doi.org/10.3133/pp1842HH.","productDescription":"v, 21 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-097125","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":375658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/hh/coverthb.jpg"},{"id":375659,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/hh/pp1842hh.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–HH"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND&nbsp;58401</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Capsule Statement</li><li>Breeding Range</li><li>Suitable Habitat</li><li>Area Requirements and Landscape Associations</li><li>Brood Parasitism by Cowbirds and Other Species</li><li>Breeding-Season Phenology and Site Fidelity</li><li>Species’ Response to Management</li><li>Management Recommendations from the Literature</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-06-18","noUsgsAuthors":false,"publicationDate":"2020-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":223126,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":214801,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":73532,"corporation":false,"usgs":true,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":791005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":90668,"corporation":false,"usgs":true,"family":"Goldade","given":"Christopher M.","affiliations":[],"preferred":false,"id":791006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nenneman, Melvin P.","contributorId":190777,"corporation":false,"usgs":false,"family":"Nenneman","given":"Melvin","email":"","middleInitial":"P.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":791007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":791008,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211531,"text":"70211531 - 2020 - Modified QuEChERS extraction for the analysis of young-of-year smallmouth bass using GC × GC-TOFMS","interactions":[],"lastModifiedDate":"2020-07-30T16:47:05.265837","indexId":"70211531","displayToPublicDate":"2020-06-18T11:43:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":763,"text":"Analytical Methods","active":true,"publicationSubtype":{"id":10}},"title":"Modified QuEChERS extraction for the analysis of young-of-year smallmouth bass using GC × GC-TOFMS","docAbstract":"<div class=\"capsule__text\"><p>Signs of disease, such as external lesions, have been prevalent in smallmouth bass throughout the Susquehanna River Basin, USA. Previous targeted chemical studies in this system have identified known persistent organic pollutants, but a common explanatory link across multiple affected sites remains undetermined. A fast and robust extraction method that can be applied to young-of-year fish is needed to effectively screen for target and non-target compounds that may be impacting organism health. The quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction methodology was optimized to perform both targeted and non-targeted chemical analyses from a single extraction of whole young-of-year fish. Comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC × GC-TOFMS) was used for extract analysis. Sample extraction was performed using the solvent ethyl acetate, followed by a two-step cleanup in which samples were frozen for lipid removal and subjected to dispersive solid phase extraction using Florisil. A sample of 21 young-of-year smallmouth bass collected from areas with disease and exhibiting different types of external lesions were evaluated for 233 target compounds. A total of 34 organic contaminants, including polychlorinated biphenyls, brominated diphenyl ethers, organochlorinated pesticides, and personal care products, were detected. Data from this sample set was then analyzed for non-targets. Using the Fisher ratio method and multivariate analysis, an additional 10 significant features were identified specific to either fish with visible lesions or with no visible disease characteristics.</p></div>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D0AY00880J","usgsCitation":"Teehan, P., Schall, M.K., Blazer, V., Gruber, B., and Dorman, F.L., 2020, Modified QuEChERS extraction for the analysis of young-of-year smallmouth bass using GC × GC-TOFMS: Analytical Methods, v. 12, p. 3697-3704, https://doi.org/10.1039/D0AY00880J.","productDescription":"8 p.","startPage":"3697","endPage":"3704","ipdsId":"IP-118177","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":376913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Harrisburg","otherGeospatial":"Susquehanna River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.9379425048828,\n              40.20981886323868\n            ],\n            [\n              -76.83631896972655,\n              40.20981886323868\n            ],\n            [\n              -76.83631896972655,\n              40.30204709875983\n            ],\n            [\n              -76.9379425048828,\n              40.30204709875983\n            ],\n            [\n              -76.9379425048828,\n              40.20981886323868\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Teehan, Paige","contributorId":236874,"corporation":false,"usgs":false,"family":"Teehan","given":"Paige","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":794530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schall, Megan K.","contributorId":115964,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":17758,"text":"Pennsylvania State Univ.","active":true,"usgs":false}],"preferred":false,"id":794531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gruber, Beate","contributorId":236875,"corporation":false,"usgs":false,"family":"Gruber","given":"Beate","email":"","affiliations":[{"id":47556,"text":"Research Institute for Chromatography, Belgium","active":true,"usgs":false}],"preferred":false,"id":794533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorman, Frank L","contributorId":236876,"corporation":false,"usgs":false,"family":"Dorman","given":"Frank","email":"","middleInitial":"L","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":794534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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