{"pageNumber":"498","pageRowStart":"12425","pageSize":"25","recordCount":40783,"records":[{"id":70173797,"text":"70173797 - 2016 - Sex-based differences in Adelie penguin (Pygoscelis adeliae) chick growth rates.","interactions":[],"lastModifiedDate":"2016-06-10T12:25:59","indexId":"70173797","displayToPublicDate":"2016-03-02T13:30:00","publicationYear":"2016","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":"Sex-based differences in Adelie penguin (Pygoscelis adeliae) chick growth rates.","docAbstract":"<p><span>Sexually size-dimorphic species must show some difference between the sexes in growth rate and/or length of growing period. Such differences in growth parameters can cause the sexes to be impacted by environmental variability in different ways, and understanding these differences allows a better understanding of patterns in productivity between individuals and populations. We investigated differences in growth rate and diet between male and female Ad&eacute;lie Penguin (</span><i>Pygoscelis adeliae</i><span>) chicks during two breeding seasons at Cape Crozier, Ross Island, Antarctica. Ad&eacute;lie Penguins are a slightly dimorphic species, with adult males averaging larger than adult females in mass (~11%) as well as bill (~8%) and flipper length (~3%). We measured mass and length of flipper, bill, tibiotarsus, and foot at 5-day intervals for 45 male and 40 female individually-marked chicks. Chick sex was molecularly determined from feathers. We used linear mixed effects models to estimate daily growth rate as a function of chick sex, while controlling for hatching order, brood size, year, and potential variation in breeding quality between pairs of parents. Accounting for season and hatching order, male chicks gained mass an average of 15.6 g d</span><span>-1</span><span>&nbsp;faster than females. Similarly, growth in bill length was faster for males, and the calculated bill size difference at fledging was similar to that observed in adults. There was no evidence for sex-based differences in growth of other morphological features. Ad&eacute;lie diet at Ross Island is composed almost entirely of two species&mdash;one krill (</span><i>Euphausia crystallorophias</i><span>) and one fish (</span><i>Pleuragramma antarctica</i><span>), with fish having a higher caloric value. Using isotopic analyses of feather samples, we also determined that male chicks were fed a higher proportion of fish than female chicks. The related differences in provisioning and growth rates of male and female offspring provides a greater understanding of the ways in which ecological factors may impact the two sexes differently.</span></p>","language":"English","publisher":"Crossmark","doi":"10.1371/journal.pone.0149090","usgsCitation":"Jennings, S., Varsani, A., Dugger, K., Ballard, G., and Ainley, D.G., 2016, Sex-based differences in Adelie penguin (Pygoscelis adeliae) chick growth rates.: PLoS ONE, v. 11, no. 3, p. 1-13, https://doi.org/10.1371/journal.pone.0149090.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061214","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0149090","text":"Publisher Index Page"},{"id":323452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Ross Island, Antarctica","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              165.19592285156247,\n              -78.07788665318229\n            ],\n            [\n              165.19592285156247,\n              -77.06157599262296\n            ],\n            [\n              170.4913330078125,\n              -77.06157599262296\n            ],\n            [\n              170.4913330078125,\n              -78.07788665318229\n            ],\n            [\n              165.19592285156247,\n              -78.07788665318229\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"575be4ade4b04f417c27f548","contributors":{"authors":[{"text":"Jennings, Scott","contributorId":171721,"corporation":false,"usgs":false,"family":"Jennings","given":"Scott","email":"","affiliations":[],"preferred":false,"id":638415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varsani, Arvind","contributorId":171722,"corporation":false,"usgs":false,"family":"Varsani","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":638416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ballard, Grant","contributorId":40499,"corporation":false,"usgs":true,"family":"Ballard","given":"Grant","affiliations":[],"preferred":false,"id":638417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":638418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168783,"text":"70168783 - 2016 - Comparative evaluation of statistical and mechanistic models of Escherichia coli at beaches in southern Lake Michigan","interactions":[],"lastModifiedDate":"2021-08-24T15:54:40.292443","indexId":"70168783","displayToPublicDate":"2016-03-02T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative evaluation of statistical and mechanistic models of <i>Escherichia coli</i> at beaches in southern Lake Michigan","title":"Comparative evaluation of statistical and mechanistic models of Escherichia coli at beaches in southern Lake Michigan","docAbstract":"<p><span>Statistical and mechanistic models are popular tools for predicting the levels of indicator bacteria at recreational beaches. Researchers tend to use one class of model or the other, and it is difficult to generalize statements about their relative performance due to differences in how the models are developed, tested, and used. We describe a cooperative modeling approach for freshwater beaches impacted by point sources in which insights derived from mechanistic modeling were used to further improve the statistical models and vice versa. The statistical models provided a basis for assessing the mechanistic models which were further improved using probability distributions to generate high-resolution time series data at the source, long-term &ldquo;tracer&rdquo; transport modeling based on observed electrical conductivity, better assimilation of meteorological data, and the use of unstructured-grids to better resolve nearshore features. This approach resulted in improved models of comparable performance for both classes including a parsimonious statistical model suitable for real-time predictions based on an easily measurable environmental variable (turbidity). The modeling approach outlined here can be used at other sites impacted by point sources and has the potential to improve water quality predictions resulting in more accurate estimates of beach closures.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b05378","usgsCitation":"Safaie, A., Wendzel, A., Ge, Z., Nevers, M., Whitman, R.L., Corsi, S., and Phanikumar, M., 2016, Comparative evaluation of statistical and mechanistic models of Escherichia coli at beaches in southern Lake Michigan: Environmental Science & Technology, v. 50, no. 5, p. 2442-2449, https://doi.org/10.1021/acs.est.5b05378.","productDescription":"8 p.","startPage":"2442","endPage":"2449","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069953","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":318495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan, Ogden Dunes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.1,\n              41.5\n            ],\n            [\n              -87.1,\n              41.75\n            ],\n            [\n              -87.25,\n              41.75\n            ],\n            [\n              -87.25,\n              41.5\n            ],\n            [\n              -87.1,\n              41.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-15","publicationStatus":"PW","scienceBaseUri":"56d80ea9e4b015c306f5e9ec","chorus":{"doi":"10.1021/acs.est.5b05378","url":"http://dx.doi.org/10.1021/acs.est.5b05378","publisher":"American Chemical Society (ACS)","authors":"Safaie Ammar, Wendzel Aaron, Ge Zhongfu, Nevers Meredith B., Whitman Richard L., Corsi Steven R., Phanikumar Mantha S.","journalName":"Environmental Science & Technology","publicationDate":"3/2016"},"contributors":{"authors":[{"text":"Safaie, Ammar","contributorId":167285,"corporation":false,"usgs":false,"family":"Safaie","given":"Ammar","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":621744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wendzel, Aaron","contributorId":167286,"corporation":false,"usgs":false,"family":"Wendzel","given":"Aaron","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":621745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ge, Zhongfu","contributorId":139463,"corporation":false,"usgs":false,"family":"Ge","given":"Zhongfu","email":"","affiliations":[{"id":12773,"text":"American Bureau of Shipping, Corporate Marine Technology","active":true,"usgs":false}],"preferred":false,"id":621746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nevers, Meredith 0000-0001-6963-6734 mnevers@usgs.gov","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":2013,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"mnevers@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":621743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":621747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":150657,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":621749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phanikumar, Mantha S.","contributorId":17888,"corporation":false,"usgs":true,"family":"Phanikumar","given":"Mantha S.","affiliations":[],"preferred":false,"id":621748,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159457,"text":"sir20155159 - 2016 - Application of hydrogeology and groundwater-age estimates to assess the travel time of groundwater at the site of a landfill to the Mahomet Aquifer, near Clinton, Illinois","interactions":[],"lastModifiedDate":"2016-03-02T13:44:50","indexId":"sir20155159","displayToPublicDate":"2016-03-02T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5159","title":"Application of hydrogeology and groundwater-age estimates to assess the travel time of groundwater at the site of a landfill to the Mahomet Aquifer, near Clinton, Illinois","docAbstract":"<p>The U.S. Geological Survey used interpretations of hydrogeologic conditions and tritium-based groundwater age estimates to assess the travel time of groundwater at a landfill site near Clinton, Illinois (the “Clinton site”) where a chemical waste unit (CWU) was proposed to be within the Clinton landfill unit #3 (CLU#3). Glacial deposits beneath the CWU consist predominantly of low-permeability silt- and clay-rich till interspersed with thin (typically less than 2 feet in thickness) layers of more permeable deposits, including the Upper and Lower Radnor Till Sands and the Organic Soil unit. These glacial deposits are about 170 feet thick and overlie the Mahomet Sand Member of the Banner Formation. The Mahomet aquifer is composed of the Mahomet Sand Member and is used for water supply in much of east-central Illinois.</p><p>Eight tritium analyses of water from seven wells were used to evaluate the overall age of recharge to aquifers beneath the Clinton site. Groundwater samples were collected from six monitoring wells on or adjacent to the CLU#3 that were open to glacial deposits above the Mahomet aquifer (the upper and lower parts of the Radnor Till Member and the Organic Soil unit) and one proximal production well (approximately 0.5 miles from the CLU#3) that is screened in the Mahomet aquifer. The tritium-based age estimates were computed with a simplifying, piston-flow assumption: that groundwater moves in discrete packets to the sampled interval by advection, without hydrodynamic dispersion or mixing.</p><p>Tritium concentrations indicate a recharge age of at least 59 years (pre-1953 recharge) for water sampled from deposits below the upper part of the Radnor Till Member at the CLU#3, with older water expected at progressively greater depth in the tills. The largest tritium concentration from a well sampled by this study (well G53S; 0.32 ± 0.10 tritium units) was in groundwater from a sand deposit in the upper part of the Radnor Till Member; the shallowest permeable unit sampled by this study. That result indicated that nearly all groundwater sampled from well G53S entered the aquifer as recharge before 1953. Tritium was detected in a trace concentration in one sample from a second monitoring well open to the upper part of the Radnor Till Member (well G07S; 0.11 ± 0.09 tritium units), and not detected in samples collected from two monitoring wells open to a sand deposit in the lower part of the Radnor Till Member, from two samples collected from two monitoring wells open to the Organic Soil unit, and in two samples collected from a production well screened in the middle of the Mahomet aquifer (a groundwater sample and a sequential replicate sample). The lack of tritium in five of the six groundwater samples collected from the shallow permeable units beneath CLU#3 site and the two samples from the one Mahomet aquifer well indicates an absence of post-1952 recharge. Groundwater-flow paths that could contribute post-1952 recharge to the lower part of the Radnor Till Member, the Organic Soil unit, or the Mahomet aquifer at the CLU#3 are not indicated by these data.</p><p>Hypothetical two-part mixtures of tritium-dead, pre-1953 recharge water and decay-corrected tritium concentrations in post-1952 recharge were computed and compared with tritium analyses in groundwater sampled from monitoring wells at the CLU#3 site to evaluate whether tritium concentrations in groundwater could be represented by mixtures involving some post-1952 recharge. Results from the hypothetical two-part mixtures indicate that groundwater from monitoring well (G53S) was predominantly composed of pre-1953 recharge and that if present, younger, post-1955 recharge, contributed less than 2.5 percent to that sample. The hypothetical two-part mixing results also indicated that very small amounts of post-1952 recharge composing less than about 2.5 percent of the sample volume could not be distinguished in groundwater samples with tritium concentrations less than about 0.15 TU.</p><p>The piston-flow based age of recharge determined from the tritium concentration in the groundwater sample from monitoring well G53S yielded an estimated maximum vertical velocity from the land surface to the upper part of the Radnor Till Member of 0.85 feet per year or less. This velocity, ifassumed to apply to the remaining glacial till deposits above the Mahomet aquifer, indicates that recharge flows through the 170 feet of glacial deposits between the base of the proposed chemical waste unit and the top of the Mahomet aquifer in a minimum of 200 years or longer. Analysis of hydraulic data from the site, constrained by a tritium-age based maximum groundwater velocity estimate, computed minimum estimates of effective porosity that range from about 0.021 to 0.024 for the predominantly till deposits above the Mahomet aquifer.</p><p>Estimated rates of transport of recharge from land surface to the Mahomet aquifer for the CLU#3 site computed using the Darcy velocity equation with site-specific data were about 260 years or longer. The Darcy velocity-based estimates were computed using values that were based on tritium data, estimates of vertical velocity and effective porosity and available site-specific data. Solution of the Darcy velocity equation indicated that maximum vertical groundwater velocities through the deposits above the aquifer were 0.41 or 0.61 feet per year, depending on the site-specific values of vertical hydraulic conductivity (laboratory triaxial test values) and effective porosity used for the computation. The resulting calculated minimum travel times for groundwater to flow from the top of the Berry Clay Member (at the base of the proposed chemical waste unit) to the top of the Mahomet aquifer ranged from about 260 to 370 years, depending on the velocity value used in the calculation. In comparison, plausible travel times calculated using vertical hydraulic conductivity values from a previously published regional groundwater flow model were either slightly less than or longer than those calculated using site data and ranged from 230 to 580 years.</p><p>Tritium data from 1996 to 2011 USGS regional sampling of groundwater from domestic wells in the confined part of the Mahomet aquifer—which are 2.5 to about 40 miles from the Clinton site—were compared with site-specific data from a production well at the Clinton site. Tritium-based groundwater-age estimates indicated predominantly pre- 1953 recharge dates for USGS and other prior regional samples of groundwater from domestic wells in the Mahomet aquifer. These results agreed with the tritium-based, pre-1953 recharge age estimated for a groundwater sample and a sequential replicate sample from a production well in the confined part of the Mahomet aquifer beneath the Clinton site.</p><p>The regional tritium-based groundwater age estimates also were compared with pesticide detections in samples from distal domestic wells in the USGS regional network that are about 2.5 to 40 miles from the Clinton site to identify whether very small amounts of post-1952 recharge have in places reached confined parts of the Mahomet aquifer at locations other than the Clinton site in an approximately 2,000 square mile area of the Mahomet aquifer. Very small amounts of post-1952 recharge were defined in this analysis as less than about 2.5 percent of the total recharge contributing to a groundwater sample, based on results from the two-part mixing analysis of tritium data from the Clinton site. Pesticide-based groundwater-age estimates based on 22 detections of pesticides (13 of these detections were estimated concentrations), including atrazine, deethylatrazine (2-Chloro-4-isopropylamino-6-amino- s-triazine), cyanazine, diazinon, metolachlor, molinate, prometon, and trifluralin in groundwater samples from 10 domestic wells 2.5 to about 40 miles distant from the Clinton site indicate that very small amounts of post-1956 to post-1992 recharge can in places reach the confined part of the Mahomet aquifer in other parts of central Illinois. The relative lack of tritium in these samples indicate that the amounts of post-1956 to post-1992 recharge contributing to the 10 domestic wells were a very small part of the overall older groundwater sampled from those wells.</p><p>The flow process by which very small amounts of pesticide-bearing groundwater reached the screened intervals of the 10 domestic wells could not be distinguished between well-integrity related infiltration and natural hydrogeologic features. Potential explanations include: (1) infiltration through man-made avenues in or along the well, (2) flow of very small amounts of post-1956 to post-1992 recharge through sparsely distributed natural permeable aspects of the glacial till and diluted by mixing with older groundwater, or (3) a combination of both processes.</p><p>Presuming the domestic wells sampled by the USGS in 1996–2011 in the regional study of the confined part of the Mahomet aquifer are adequately sealed and produce groundwater that is representative of aquifer conditions, the regional tritium and pesticide-based groundwater-age results indicate substantial heterogeneity in the glacial stratigraphy above the Mahomet aquifer. The pesticide-based groundwater-age estimates from the domestic wells distant from the Clinton site also indicate that parts of the Mahomet aquifer with the pesticide detections can be susceptible to contaminant sources at the land surface. The regional pesticide and tritium results from the domestic wells further indicate that a potential exists for possible contaminants from land surface to be transported through the glacial drift deposits that confine the Mahomet aquifer in other parts of central Illinois at faster rates than those computed for recharge at the Clinton site, including CLU#3. This analysis indicates the potential value of sub-microgram-per-liter level concentrations of land-use derived indicators of modern recharge to indicate the presence of very small amounts of modern, post-1952 age recharge in overall older, pre-1953 age groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155159","usgsCitation":"Kay, R.T., and Buszka, P.M., 2016, Application of hydrogeology and groundwater-age estimates to assess the travel time of groundwater at the site of a landfill to the Mahomet Aquifer, near Clinton, Illinois, with a section on Regional Indications of Recharge to the Mahomet Aquifer from Previously Collected Tritium and Pesticide Data, by Buszka, P.M. and Morrow, W.S.: U.S. Geological Survey Scientific Investigations Report 2015–5159, 54 p., https://dx.doi.org/10.3133/sir20155159.\n","productDescription":"vii, 54 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-038616","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":314192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5159/coverthb.jpg"},{"id":314193,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5159/sir20155159.pdf","text":"Report","size":"1.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5159"}],"country":"United States","state":"Illinois","city":"Clinton","otherGeospatial":"Mahomet Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.96428108215332,\n              40.107618711896095\n            ],\n            [\n              -88.96428108215332,\n              40.117793139514546\n            ],\n            [\n              -88.94694328308105,\n              40.117793139514546\n            ],\n            [\n              -88.94694328308105,\n              40.107618711896095\n            ],\n            [\n              -88.96428108215332,\n              40.107618711896095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Illinois Water Science Center<br>U.S. Geological Survey<br>405 N. Goodwin Avenue<br>Urbana, IL 61801<br>http://il.water.usgs.gov/</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Data Collection and Analysis for the Clinton Site</li><li>Hydrogeology, Estimates of Groundwater Age, and Assessment of Groundwater Travel Time at the Clinton Site</li><li>Summary of Hydrogeology and Recharge Interpretations from Clinton Site Data</li><li>Regional Indications of Recharge to the Mahomet Aquifer from Previously Collected Tritium and Pesticide Data</li><li>Data Limitations</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-03-02","noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"56d80ea8e4b015c306f5e9e7","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997 rtkay@usgs.gov","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":1122,"corporation":false,"usgs":true,"family":"Kay","given":"Robert","email":"rtkay@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168704,"text":"ofr20161027 - 2016 - High-resolution gravity and seismic-refraction surveys of the Smoke Tree Wash area, Joshua Tree National Park, California","interactions":[],"lastModifiedDate":"2022-01-21T16:44:39.630648","indexId":"ofr20161027","displayToPublicDate":"2016-03-02T08:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1027","title":"High-resolution gravity and seismic-refraction surveys of the Smoke Tree Wash area, Joshua Tree National Park, California","docAbstract":"<p>We describe high-resolution gravity and seismic refraction surveys acquired to determine the thickness of valley-fill deposits and to delineate geologic structures that might influence groundwater flow beneath the Smoke Tree Wash area in Joshua Tree National Park. These surveys identified a sedimentary basin that is fault-controlled. A profile across the Smoke Tree Wash fault zone reveals low gravity values and seismic velocities that coincide with a mapped strand of the Smoke Tree Wash fault. Modeling of the gravity data reveals a basin about 2&ndash;2.5 km long and 1 km wide that is roughly centered on this mapped strand, and bounded by inferred faults. According to the gravity model the deepest part of the basin is about 270 m, but this area coincides with low velocities that are not characteristic of typical basement complex rocks. Most likely, the density contrast assumed in the inversion is too high or the uncharacteristically low velocities represent highly fractured or weathered basement rocks, or both. A longer seismic profile extending onto basement outcrops would help differentiate which scenario is more accurate. The seismic velocities also determine the depth to water table along the profile to be about 40&ndash;60 m, consistent with water levels measured in water wells near the northern end of the profile.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161027","usgsCitation":"Langenheim, V.E., Rymer, M.J., Catchings, R.D., Goldman, M.R., Watt, J.T., Powell, R.E., and Matti, J.C., 2016, High-resolution gravity and seismic-refraction surveys of the Smoke Tree Wash Area, Joshua Tree National Park, California: U.S. Geological Survey Open-File Report 2016–1027, 15 p., https://dx.doi.org/10.3133/ofr20161027.","productDescription":"Report: iii, 15 p.; Dataset; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070548","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":318441,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2016/1027/ofr20161027_readme.txt","size":"4 KB","linkFileType":{"id":2,"text":"txt"}},{"id":318440,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2016/1027/ofr20161027_metadata.txt","size":"10 KB","linkFileType":{"id":2,"text":"txt"}},{"id":318439,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1027/ofr20161027.pdf","text":"Report","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1027 Report PDF"},{"id":318438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1027/coverthb.jpg"},{"id":318442,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2016/1027/ofr20161027_iso_all.txt","text":"Gravity Data","size":"11 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"California","otherGeospatial":"Joshua Tree National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.8745,\n              33.7498\n            ],\n            [\n              -115.8745,\n              33.8402\n            ],\n            [\n              -115.7667,\n              33.8402\n            ],\n            [\n              -115.7667,\n              33.7498\n            ],\n            [\n              -115.8745,\n              33.7498\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://geomaps.wr.usgs.gov/gmeg/staff.htm\">GMEG staff</a>, Geology, Minerals, Energy, &amp; Geophysics Science Center<br />Menlo Park, California<br />U.S. Geological Survey<br />345 Middlefield Road<br />Menlo Park, CA 94025-3591<br /><a href=\"http://geomaps.wr.usgs.gov/gmeg/\">http://geomaps.wr.usgs.gov/gmeg/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Data Sets</li>\n<li>Gravity Field</li>\n<li>Computation Method for Modeling the Thickness of the Valley-Fill Deposits</li>\n<li>Gravity Results</li>\n<li>Comparison with the Seismic-Refraction Model</li>\n<li>Acknowledgments</li>\n<li>References</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-03-02","noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"56d80eade4b015c306f5e9ff","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":148146,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","email":"zulanger@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":621356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":621357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":621358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":621359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":621360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, Robert E. 0000-0001-7682-1655 rpowell@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-1655","contributorId":4210,"corporation":false,"usgs":true,"family":"Powell","given":"Robert","email":"rpowell@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":621361,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matti, Jonathan C. jmatti@usgs.gov","contributorId":3666,"corporation":false,"usgs":true,"family":"Matti","given":"Jonathan","email":"jmatti@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":621362,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70170762,"text":"70170762 - 2016 - Factors affecting nest survival of Henslow's Sparrows (<i>Ammodramus henslowii</i>) in southern Indiana","interactions":[],"lastModifiedDate":"2019-12-14T06:42:44","indexId":"70170762","displayToPublicDate":"2016-03-01T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting nest survival of Henslow's Sparrows (<i>Ammodramus henslowii</i>) in southern Indiana","docAbstract":"<p><span>Populations of Henslow&rsquo;s Sparrows have declined dramatically in recent decades, coinciding with widespread loss of native grassland habitat. Prescribed burning is a primary tool for maintaining grassland patches, but its effects on nest survival of Henslow&rsquo;s Sparrows remains largely unknown, especially in conjunction with other factors. We monitored 135 nests of Henslow&rsquo;s Sparrows at Big Oaks National Wildlife Refuge in southern Indiana from 1998&ndash;2001 in an effort to understand factors influencing nest survival, including prescribed burning of habitat. We used a mixed-effects implementation of the logistic exposure model to predict daily nest survival in an information theoretic framework. We found that daily survival declined near the onset of hatching and increased with the height of standing dead vegetation, although this relationship was weak. We found only nominal support to suggest that time since burn influenced nest survival. Overall, nest age was the most important factor in estimating daily nest survival rates. Our daily survival estimate from our marginal model (0.937) was similar to that derived from the Mayfield method (0.944) suggesting that our results are comparable to previous studies using the Mayfield approach. Our results indicate that frequent burning to limit woody encroachment into grassland habitats might benefit Henslow&rsquo;s Sparrow, but that a variety of factors ultimately influence daily nest survival. However, we note that burning too frequently can also limit occupancy by Henslow&rsquo;s Sparrows. We suggest that additional research is needed to determine the population-level consequences of habitat alteration and if other extrinsic factors influence demographics of Henslow&rsquo;s Sparrows.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","publisherLocation":"Lawrence, KS","doi":"10.1676/wils-128-01-108-119.1","usgsCitation":"Crimmins, S.M., McKann, P.C., Robb, J.R., Lewis, J., Vanosdol, T., Walker, B.A., Williams, P.J., and Thogmartin, W.E., 2016, Factors affecting nest survival of Henslow's Sparrows (<i>Ammodramus henslowii</i>) in southern Indiana: Wilson Journal of Ornithology, v. 128, no. 1, p. 108-119, https://doi.org/10.1676/wils-128-01-108-119.1.","productDescription":"12 p.","startPage":"108","endPage":"119","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066551","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":320850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","county":"Jefferson County, Jennings County, Ripley County","otherGeospatial":"Big Oaks National Wildlife 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57287a2de4b0b13d391865bc","contributors":{"authors":[{"text":"Crimmins, Shawn M. 0000-0001-6229-5543 scrimmins@usgs.gov","orcid":"https://orcid.org/0000-0001-6229-5543","contributorId":5498,"corporation":false,"usgs":true,"family":"Crimmins","given":"Shawn","email":"scrimmins@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":628315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKann, Patrick C.","contributorId":139648,"corporation":false,"usgs":false,"family":"McKann","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":12814,"text":"USGS, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":628316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robb, Joseph R.","contributorId":169054,"corporation":false,"usgs":false,"family":"Robb","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":628317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Jason P.","contributorId":169055,"corporation":false,"usgs":false,"family":"Lewis","given":"Jason P.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":628318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanosdol, Teresa","contributorId":169056,"corporation":false,"usgs":false,"family":"Vanosdol","given":"Teresa","email":"","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":628319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walker, Benjamin A.","contributorId":169057,"corporation":false,"usgs":false,"family":"Walker","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":628320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":628321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":628314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171539,"text":"70171539 - 2016 - 1984–2010 trends in fire burn severity and area for the conterminous US","interactions":[],"lastModifiedDate":"2017-01-18T09:16:44","indexId":"70171539","displayToPublicDate":"2016-03-01T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"1984–2010 trends in fire burn severity and area for the conterminous US","docAbstract":"<p><span>Burn severity products created by the Monitoring Trends in Burn Severity (MTBS) project were used to analyse historical trends in burn severity. Using a severity metric calculated by modelling the cumulative distribution of differenced Normalized Burn Ratio (dNBR) and Relativized dNBR (RdNBR) data, we examined burn area and burn severity of 4893 historical fires (1984&ndash;2010) distributed across the conterminous US (CONUS) and mapped by MTBS. Yearly mean burn severity values (weighted by area), maximum burn severity metric values, mean area of burn, maximum burn area and total burn area were evaluated within 27 US National Vegetation Classification macrogroups. Time series assessments of burned area and severity were performed using Mann&ndash;Kendall tests. Burned area and severity varied by vegetation classification, but most vegetation groups showed no detectable change during the 1984&ndash;2010 period. Of the 27 analysed vegetation groups, trend analysis revealed burned area increased in eight, and burn severity has increased in seven. This study suggests that burned area and severity, as measured by the severity metric based on dNBR or RdNBR, have not changed substantially for most vegetation groups evaluated within CONUS.</span></p>","language":"English","publisher":"Fire Research Institute","publisherLocation":"Rosyn, WA","doi":"10.1071/WF15039","usgsCitation":"Picotte, J.J., Peterson, B.E., Meier, G., and Howard, S.M., 2016, 1984–2010 trends in fire burn severity and area for the conterminous US: International Journal of Wildland Fire, v. 25, no. 4, p. 413-420, https://doi.org/10.1071/WF15039.","productDescription":"9 p.","startPage":"413","endPage":"420","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056002","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":322099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158abe4b053f0edd03c13","contributors":{"authors":[{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@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":631701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":631702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meier, Gretchen gmeier@usgs.gov","contributorId":3124,"corporation":false,"usgs":true,"family":"Meier","given":"Gretchen","email":"gmeier@usgs.gov","affiliations":[],"preferred":true,"id":631703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":631700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169121,"text":"70169121 - 2016 - Tarangire revisited: Consequences of declining connectivity in a tropical ungulate population","interactions":[],"lastModifiedDate":"2016-03-21T11:34:10","indexId":"70169121","displayToPublicDate":"2016-03-01T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Tarangire revisited: Consequences of declining connectivity in a tropical ungulate population","docAbstract":"<p><span>The hyper-abundance of migratory wildlife in many ecosystems depends on maintaining access to seasonally available resources. In Eastern and Southern Africa, land-use change and a loss of connectivity have coincided with widespread declines in the abundance and geographic range of ungulate populations. Using photographic capture-mark-recapture, we examine the historical pattern of loss of connectivity and its impact on population trends in a partially migratory wildebeest population in northern Tanzania. To estimate abundance, we use a novel modeling approach that overcomes bias associated with photo misidentifications. Our data indicate (1) diminished connectivity within and between seasonal areas as a result of human activities, (2) a reduction in the overall population size compared to historical numbers, with high variability over time, (3) the continued use of highly constrained movement corridors between the three main seasonal ranges, (4) higher recruitment in the non-migratory subpopulation (Lake Manyara National Park) than in other areas of the ecosystem, and (5) an increase in the relative abundance of resident to migrant wildebeest. Recent conservation efforts to protect seasonal habitat and to enforce anti-poaching policies outside protected areas have likely helped stabilize the population, at least temporarily, but we caution that several key vulnerabilities remain.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2016.02.034","collaboration":"Thomas Morrison; William D Newmark; Charles A Foley; Douglas T Bolger","usgsCitation":"Morrison, T.A., Link, W.A., Newmark, W.D., Foley, C.A., and Bolger, D.T., 2016, Tarangire revisited: Consequences of declining connectivity in a tropical ungulate population: Biological Conservation, v. 197, p. 53-60, https://doi.org/10.1016/j.biocon.2016.02.034.","productDescription":"8 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,{"id":70169020,"text":"70169020 - 2016 - Optimized methods for total nucleic acid extraction and quantification of the bat white-nose syndrome fungus, <i>Pseudogymnoascus destructans</i>, from swab and environmental samples","interactions":[],"lastModifiedDate":"2016-03-11T09:50:09","indexId":"70169020","displayToPublicDate":"2016-03-01T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"Optimized methods for total nucleic acid extraction and quantification of the bat white-nose syndrome fungus, <i>Pseudogymnoascus destructans</i>, from swab and environmental samples","docAbstract":"<p><span>The continued spread of white-nose syndrome and its impacts on hibernating bat populations across North America has prompted nationwide surveillance efforts and the need for high-throughput, noninvasive diagnostic tools. Quantitative real-time polymerase chain reaction (qPCR) analysis has been increasingly used for detection of the causative fungus,&nbsp;</span><i>Pseudogymnoascus destructans</i><span>, in both bat- and environment-associated samples and provides a tool for quantification of fungal DNA useful for research and monitoring purposes. However, precise quantification of nucleic acid from</span><i>P. destructans</i><span>&nbsp;is dependent on effective and standardized methods for extracting nucleic acid from various relevant sample types. We describe optimized methodologies for extracting fungal nucleic acids from sediment, guano, and swab-based samples using commercial kits together with a combination of chemical, enzymatic, and mechanical modifications. Additionally, we define modifications to a previously published intergenic spacer&ndash;based qPCR test for&nbsp;</span><i>P. destructans</i><span>&nbsp;to refine quantification capabilities of this assay.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Veterinary Diagnostic Investigation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Veterinary Laboratory Diagnosticians","publisherLocation":"Columbia, MO","doi":"10.1177/1040638715626963","usgsCitation":"Verant, M., Bohuski, E.A., Lorch, J.M., and Blehert, D.S., 2016, Optimized methods for total nucleic acid extraction and quantification of the bat white-nose syndrome fungus, <i>Pseudogymnoascus destructans</i>, from swab and environmental samples: Journal of Veterinary Diagnostic Investigation, v. 28, no. 2, p. 110-118, https://doi.org/10.1177/1040638715626963.","productDescription":"9 p.","startPage":"110","endPage":"118","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062061","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471189,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/1040638715626963","text":"Publisher Index Page"},{"id":318813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-10","publicationStatus":"PW","scienceBaseUri":"56e3fa58e4b0f59b85d4946f","contributors":{"authors":[{"text":"Verant, Michelle","contributorId":33167,"corporation":false,"usgs":true,"family":"Verant","given":"Michelle","affiliations":[],"preferred":false,"id":622555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohuski, Elizabeth A. 0000-0001-8061-2151 ebohuski@usgs.gov","orcid":"https://orcid.org/0000-0001-8061-2151","contributorId":5890,"corporation":false,"usgs":true,"family":"Bohuski","given":"Elizabeth","email":"ebohuski@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":622556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":622557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":622554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169141,"text":"70169141 - 2016 - Available data support protection of the Southwestern Willow Flycatcher under the Endangered Species Act","interactions":[],"lastModifiedDate":"2016-03-22T09:27:28","indexId":"70169141","displayToPublicDate":"2016-03-01T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Available data support protection of the Southwestern Willow Flycatcher under the Endangered Species Act","docAbstract":"<p><a class=\"ref\">Zink (2015)</a><span>&nbsp;argued there was no evidence for genetic, morphological, or ecological differentiation between the federally endangered Southwestern Willow Flycatcher (</span><i><i>Empidonax traillii</i>&nbsp;extimus</i><span>) and other Willow Flycatcher subspecies. Using the same data, we show there is a step-cline in both the frequency of a mtDNA haplotype and in plumage variation roughly concordant with the currently recognized boundary between&nbsp;</span><i>E. t. extimus</i><span>&nbsp;and&nbsp;</span><i>E. t adastus,</i><span>&nbsp;the subspecies with which it shares the longest common boundary. The geographical pattern of plumage variation is also concordant with previous song analyses differentiating those 2 subspecies and identified birds in one low-latitude, high-elevation site in Arizona as the northern subspecies. We also demonstrate that the ecological niche modeling approach used by Zink yields the same result whether applied to the 2 flycatcher subspecies or to 2 unrelated species,&nbsp;</span><i>E. t. extimus</i><span>&nbsp;and Yellow Warbler (</span><i>Setophaga petechia</i><span>). As a result, any interpretation of those results as evidence for lack of ecological niche differentiation among Willow Flycatcher subspecies would also indicate no differentiation among recognized species and would therefore be an inappropriate standard for delineating subspecies. We agree that many analytical techniques now available to examine genetic, morphological, and ecological differentiation would improve our understanding of the distinctness (or lack thereof) of Willow Flycatcher subspecies, but we argue that currently available evidence supports protection of the Southwestern Willow Flycatcher under the Endangered Species Act.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Santa Clara, CA","doi":"10.1650/CONDOR-15-71.1","usgsCitation":"Theimer, T.C., Smith, A.D., Mahoney, S.M., and Ironside, K.E., 2016, Available data support protection of the Southwestern Willow Flycatcher under the Endangered Species Act: The Condor, v. 118, no. 2, p. 289-299, https://doi.org/10.1650/CONDOR-15-71.1.","productDescription":"11 p.","startPage":"289","endPage":"299","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066001","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-15-71.1","text":"Publisher Index Page"},{"id":319185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f26caee4b0f59b85decbf9","contributors":{"authors":[{"text":"Theimer, Tad C.","contributorId":72073,"corporation":false,"usgs":true,"family":"Theimer","given":"Tad","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":623192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Aaron D.","contributorId":167702,"corporation":false,"usgs":false,"family":"Smith","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":623193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahoney, Sean M.","contributorId":167703,"corporation":false,"usgs":false,"family":"Mahoney","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":623194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":623191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171551,"text":"70171551 - 2016 - Flow regime effects on mature <i>Populus fremontii</i> (Fremont cottonwood) productivity on two contrasting dryland river floodplains","interactions":[],"lastModifiedDate":"2016-06-03T13:03:19","indexId":"70171551","displayToPublicDate":"2016-03-01T05:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Flow regime effects on mature <i>Populus fremontii</i> (Fremont cottonwood) productivity on two contrasting dryland river floodplains","docAbstract":"<p><span>I compared riparian cottonwood (<i><i>Populus fremontii</i></i><span>) productivity-discharge relationships in a relictual stand along the highly regulated Green River and in a naturally functioning stand along the unregulated Yampa River in semiarid northwest Colorado. I used multiple regression to model flow effects on annual basal area increment (BAI) from 1982 to 2011, after removing any autocorrelation present. Each BAI series was developed from 20 trees whose mean size (67 cm diameter at breast height [DBH]) was equivalent in the two stands. BAI was larger in the Yampa River stand except in 2 y when defoliating leaf beetles were present there. I found no evidence for a Yampa flood-magnitude threshold above which BAI declined. Flow variables explained &sim;45% of residual BAI variability, with most explained by current-year maximum 90-d discharge (Q</span><sub>M90</sub><span>) in the Yampa River stand and by a measure of the year-to-year change in Q</span><sub>M90</sub><span><span class=\"Apple-converted-space\">&nbsp;</span>in the Green River stand. The latter reflects a management-imposed ceiling on flood magnitude&mdash;Flaming Gorge Dam power plant capacity&mdash;infrequently exceeded during the study period. BAI in the relictual stand began to trend upward in 1992 when flows started to mimic a natural flow regime. Mature Fremont cottonwoods appear to be ecologically resilient. Their productivity along regulated rivers might be optimized using multiyear environmental flow designs.</span></span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.1.8","usgsCitation":"Andersen, D., 2016, Flow regime effects on mature <i>Populus fremontii</i> (Fremont cottonwood) productivity on two contrasting dryland river floodplains: Southwestern Naturalist, v. 61, no. 1, p. 8-17, https://doi.org/10.1894/0038-4909-61.1.8.","productDescription":"11 p.","startPage":"8","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":322139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70174959,"text":"70174959 - 2016 - Reevaluating the age of the Walden Creek Group and the kinematic evolution of the western Blue Ridge, southern Appalachians","interactions":[],"lastModifiedDate":"2016-07-22T15:53:49","indexId":"70174959","displayToPublicDate":"2016-03-01T05:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluating the age of the Walden Creek Group and the kinematic evolution of the western Blue Ridge, southern Appalachians","docAbstract":"<p class=\"p1\"><span class=\"s1\">An integrated synthesis of existing datasets (detailed geologic mapping, geochronologic, paleontologic, geophysical) with new paleontologic and geochemical investigations of rocks previously interpreted as part of the Neoproterozoic Walden Creek Group in southeastern Tennessee suggest a necessary reevaluation of the kinematics and structural architecture of the Blue Ridge Foothills. The western Blue Ridge of Tennessee, North Carolina, and Georgia is composed of numerous northwest-directed early and late Paleozoic thrust sheets, which record pronounced variation in stratigraphic/structural architecture and timing of metamorphism. The detailed spatial, temporal, and kinematic relationships of these rocks have remained controversial. Two fault blocks that are structurally isolated between the Great Smoky and Miller Cove-Greenbrier thrust sheets, here designated the Maggies Mill and Citico thrust sheets, contain Late Ordovician-Devonian conodonts and stable isotope chemostratigraphic signatures consistent with a mid-Paleozoic age. Geochemical and paleontological analyses of Walden Creek Group rocks northwest and southeast of these two thrust sheets, however, are more consistent with a Late Neoproterozoic (550&ndash;545 Ma) depositional age. Consequently, the structural juxtaposition of mid-Paleozoic rocks within a demonstrably Neoproterozoic-Cambrian succession between the Great Smoky and Miller Cove-Greenbrier thrust sheets suggests that a simple foreland-propagating thrust sequence model is not applicable in the Blue Ridge Foothills. We propose that these younger rocks were deposited landward of the Ocoee Supergroup, and were subsequently plucked from the Great Smoky fault footwall as a horse, and breached through the Great Smoky thrust sheet during Alleghanian emplacement of that structure.</span></p>","language":"English","publisher":"American Journal of Science","doi":"10.2475/03.2016.03","usgsCitation":"Thigpen, J.R., Hatcher, R.D., Kah, L., and Repetski, J.E., 2016, Reevaluating the age of the Walden Creek Group and the kinematic evolution of the western Blue Ridge, southern Appalachians: American Journal of Science, v. 316, p. 279-308, https://doi.org/10.2475/03.2016.03.","productDescription":"30 p.","startPage":"279","endPage":"308","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069424","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":325563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.661376953125,\n              36.5978891330702\n            ],\n            [\n              -81.419677734375,\n              36.54494944148322\n            ],\n            [\n              -81.265869140625,\n              36.40359962073256\n            ],\n            [\n              -81.63940429687499,\n              36.10237644873644\n            ],\n            [\n              -82.02392578125,\n              35.79999392988527\n            ],\n            [\n              -82.803955078125,\n              35.4159149234562\n            ],\n            [\n              -83.1005859375,\n              35.290468565908775\n            ],\n            [\n              -83.485107421875,\n              35.137879119634185\n            ],\n            [\n              -83.902587890625,\n              35.08395557927643\n            ],\n            [\n              -84.24316406249999,\n              35.003003395276714\n            ],\n            [\n              -84.462890625,\n              35.04798673426734\n            ],\n            [\n              -84.462890625,\n              35.34425514918409\n            ],\n            [\n              -84.24316406249999,\n              35.755428369259626\n            ],\n            [\n              -84.0234375,\n              36.13787471840729\n            ],\n            [\n              -83.5400390625,\n              36.2354121683998\n            ],\n            [\n              -82.891845703125,\n              36.30627216957992\n            ],\n            [\n              -82.37548828125,\n              36.50963615733049\n            ],\n            [\n              -81.661376953125,\n              36.5978891330702\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"316","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-03","publicationStatus":"PW","scienceBaseUri":"57934449e4b0eb1ce79e8c0c","contributors":{"authors":[{"text":"Thigpen, J. 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Jr.","contributorId":121402,"corporation":false,"usgs":true,"family":"Hatcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kah, Linda C.","contributorId":40842,"corporation":false,"usgs":true,"family":"Kah","given":"Linda C.","affiliations":[],"preferred":false,"id":643355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170067,"text":"70170067 - 2016 - Predictive mapping of seabirds, pinnipeds and cetaceans off the Pacific Coast of Washington","interactions":[],"lastModifiedDate":"2016-04-06T17:48:48","indexId":"70170067","displayToPublicDate":"2016-03-01T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Predictive mapping of seabirds, pinnipeds and cetaceans off the Pacific Coast of Washington","docAbstract":"<h1>About this report</h1>\n<p>This report supports Washington-led marine spatial planning and responsible stewardship of natural and cultural resources by the Olympic Coast National Marine Sanctuary. Washington state agencies and the sanctuary continually seek the best available science to improve management of marine uses and stewardship of resources (Etheridge et al., 2010; Washington Department of Fish and Wildlife, 2015a). This report and associated data provide new, state- and sanctuary-requested information on seabird, pinniped, and cetacean distributions. Through spatial planning, information on species distributions can help to identify high-value conservation areas, minimize adverse effects of ocean uses and mitigate impacts of coastal hazards. Correspondingly, the Washington Department of Fish and Wildlife has already begun to use the maps of predicted relative density presented in this report to identify ecologically important areas off the Pacific Coast of Washington and apply this information to plan for offshore renewable energy development.</p>\n<p>This is the culmination of three years of work to compile information on seabirds, pinnipeds, and cetaceans, and advance a modeling framework that can integrate data sets and develop accurate predictions of relative density for important species off the Pacific Coast of Washington. Previous reports, which evaluated existing datasets of at-sea observations (Menza et al., 2014; Kracker and Menza, 2015) and presented superseded versions of seabird models (Menza et al., 2015), provided base information for this report. In addition to the maps in this published report, all new seabird, pinniped and cetacean predictions will be made publicly available as digital geospatial data through the National Centers for Environmental Information.</p>\n<p>This research supports the National Oceanic and Atmospheric Administration (NOAA) Coastal Zone Management Program, a voluntary partnership between the federal government and U.S. coastal and Great Lakes states and territories authorized by the Coastal Zone Management Act (CZMA) of 1972 to address national coastal issues. The act provides the basis for protecting, restoring, and responsibly developing our nation&rsquo;s diverse coastal communities and resources. To meet the goals of the CZMA, the national program takes a comprehensive approach to coastal resource management &ndash; balancing the often competing and occasionally conflicting demands of coastal resource use, economic development, and conservation. A wide range of issues are addressed through the program, including coastal development, water quality, public access, habitat protection, energy facility siting, ocean governance and planning, coastal hazards, and climate change. Accurate maps of seabird and marine mammal distributions are an important tool for making informed management decisions that affect all of these issues.&nbsp;</p>","language":"English","publisher":"NOAA NCCOS Center of Coastal Monitoring and Assessment","doi":"10.7289/V5NV9G7Z","collaboration":"A collaborative investigation by NOAA's National Ocean Service and National Marine Fisheries Service, U.S. Geological Survey, Bureau of Ocean Energy Management, Washington State Department of Fish and Wildlife, Cascadia Research Collective","usgsCitation":"Menza, C., Leirness, J.B., White, T., Winship, A., Kinlan, B.P., Kracker, L., Zamon, J.E., Ballance, L., Becker, E., Forney, K.A., Barlow, J., Adams, J., Pereksta, D., Pearson, S., Pierce, J., Jeffries, S.J., Calambokidis, J., Douglas, A., Hanson, B.C., Benson, S.R., and Antrim, L., 2016, Predictive mapping of seabirds, pinnipeds and cetaceans off the Pacific Coast of Washington, i. 96 p., https://doi.org/10.7289/V5NV9G7Z.","productDescription":"i. 96 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073210","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":319879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126,\n              46\n            ],\n            [\n              -126,\n              48.5\n            ],\n            [\n              -123.5,\n              48.5\n            ],\n            [\n              -123.5,\n              46\n            ],\n            [\n              -126,\n              46\n            ]\n         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Collective","active":true,"usgs":false}],"preferred":false,"id":626006,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hanson, Bradford C.","contributorId":55076,"corporation":false,"usgs":true,"family":"Hanson","given":"Bradford","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":626007,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Benson, Scott R.","contributorId":49096,"corporation":false,"usgs":true,"family":"Benson","given":"Scott","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":626008,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Antrim, Liam","contributorId":168462,"corporation":false,"usgs":false,"family":"Antrim","given":"Liam","email":"","affiliations":[{"id":25298,"text":"NOAA/NOS","active":true,"usgs":false}],"preferred":false,"id":626009,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70169351,"text":"70169351 - 2016 - Vertical deformation associated with normal fault systems evolved over coseismic, postseismic, and multiseismic periods","interactions":[],"lastModifiedDate":"2017-03-15T14:49:03","indexId":"70169351","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Vertical deformation associated with normal fault systems evolved over coseismic, postseismic, and multiseismic periods","docAbstract":"<p><span>Vertical deformation of extensional provinces varies significantly and in seemingly contradictory ways. Sparse but robust geodetic, seismic, and geologic observations in the Basin and Range province of the western United States indicate that immediately after an earthquake, vertical change primarily occurs as subsidence of the normal fault hanging wall. A few decades later, a ±100 km wide zone is symmetrically uplifted. The preserved topography of long-term rifting shows bent and tilted footwall flanks rising high above deep basins. We develop finite element models subjected to extensional and gravitational forces to study time-varying deformation associated with normal faulting. We replicate observations with a model that has a weak upper mantle overlain by a stronger lower crust and a breakable elastic upper crust. A 60° dipping normal fault cuts through the upper crust and extends through the lower crust to simulate an underlying shear zone. Stretching the model under gravity demonstrates that asymmetric slip via collapse of the hanging wall is a natural consequence of coseismic deformation. Focused flow in the upper mantle imposed by deformation of the lower crust localizes uplift under the footwall; the breakable upper crust is a necessary model feature to replicate footwall bending over the observed width</span>&nbsp;( &lt; 10 km), which is predicted to take place within 1-2 decades after each large earthquake. Thus the best-preserved topographic signature of rifting is expected to occur early in the postseismic period. The relatively stronger lower crust in our models is necessary to replicate broader postseismic uplift that is observed geodetically in subsequent decades.</p>","language":"English","publisher":"AGU","doi":"10.1002/2015JB012240","usgsCitation":"Thompson, G.A., and Parsons, T.E., 2016, Vertical deformation associated with normal fault systems evolved over coseismic, postseismic, and multiseismic periods: Journal of Geophysical Research, v. 121, no. 3, p. 2153-2173, https://doi.org/10.1002/2015JB012240.","productDescription":"21 p.","startPage":"2153","endPage":"2173","ipdsId":"IP-072674","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012240","text":"Publisher Index Page"},{"id":337652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-21","publicationStatus":"PW","scienceBaseUri":"58ca52cfe4b0849ce97c86b4","contributors":{"authors":[{"text":"Thompson, George A.","contributorId":94288,"corporation":false,"usgs":true,"family":"Thompson","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":623870,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195807,"text":"70195807 - 2016 - Progress and challenges in coupled hydrodynamic-ecological estuarine modeling","interactions":[],"lastModifiedDate":"2018-03-02T11:25:21","indexId":"70195807","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2016","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":"Progress and challenges in coupled hydrodynamic-ecological estuarine modeling","docAbstract":"<p><span>Numerical modeling has emerged over the last several decades as a widely accepted tool for investigations in environmental sciences. In estuarine research, hydrodynamic and ecological models have moved along parallel tracks with regard to complexity, refinement, computational power, and incorporation of uncertainty. Coupled hydrodynamic-ecological models have been used to assess ecosystem processes and interactions, simulate future scenarios, and evaluate remedial actions in response to eutrophication, habitat loss, and freshwater diversion. The need to couple hydrodynamic and ecological models to address research and management questions is clear because dynamic feedbacks between biotic and physical processes are critical interactions within ecosystems. In this review, we present historical and modern perspectives on estuarine hydrodynamic and ecological modeling, consider model limitations, and address aspects of model linkage, skill assessment, and complexity. We discuss the balance between spatial and temporal resolution and present examples using different spatiotemporal scales. Finally, we recommend future lines of inquiry, approaches to balance complexity and uncertainty, and model transparency and utility. It is idealistic to think we can pursue a “theory of everything” for estuarine models, but recent advances suggest that models for both scientific investigations and management applications will continue to improve in terms of realism, precision, and accuracy.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-0011-y","usgsCitation":"Ganju, N., Brush, M.J., Rashleigh, B., Aretxabaleta, A.L., del Barrio, P., Grear, J.S., Harris, L.A., Lake, S.J., McCardell, G., O'Donnell, J., Ralston, D., Signell, R.P., Testa, J., and Vaudrey, J., 2016, Progress and challenges in coupled hydrodynamic-ecological estuarine modeling: Estuaries and Coasts, v. 39, no. 2, p. 311-332, https://doi.org/10.1007/s12237-015-0011-y.","productDescription":"22 p.","startPage":"311","endPage":"332","ipdsId":"IP-061024","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-015-0011-y","text":"Publisher Index Page"},{"id":352178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-07","publicationStatus":"PW","scienceBaseUri":"5afeea2fe4b0da30c1bfc5ca","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":729980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brush, Mark J.","contributorId":202881,"corporation":false,"usgs":false,"family":"Brush","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":729982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rashleigh, Brenda","contributorId":43990,"corporation":false,"usgs":true,"family":"Rashleigh","given":"Brenda","affiliations":[],"preferred":false,"id":729983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aretxabaleta, Alfredo L. 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":5464,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":729984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"del Barrio, Pilar","contributorId":140079,"corporation":false,"usgs":false,"family":"del Barrio","given":"Pilar","email":"","affiliations":[{"id":13379,"text":"Environmental Hydraulics Institute \"IH Cantabria\", C/ Isabel Torres nº15, Parque Científico y Tecnológico de Cantabria, 39011 Santander, Spain.","active":true,"usgs":false}],"preferred":false,"id":729985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grear, Jason S.","contributorId":202882,"corporation":false,"usgs":false,"family":"Grear","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":729986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Lora A.","contributorId":202883,"corporation":false,"usgs":false,"family":"Harris","given":"Lora","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":729987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lake, Samuel J.","contributorId":202884,"corporation":false,"usgs":false,"family":"Lake","given":"Samuel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":729988,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCardell, Grant","contributorId":202885,"corporation":false,"usgs":false,"family":"McCardell","given":"Grant","email":"","affiliations":[],"preferred":false,"id":729989,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"O'Donnell, James","contributorId":100926,"corporation":false,"usgs":true,"family":"O'Donnell","given":"James","affiliations":[],"preferred":false,"id":729990,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ralston, David K.","contributorId":75796,"corporation":false,"usgs":true,"family":"Ralston","given":"David K.","affiliations":[],"preferred":false,"id":729991,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":729992,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":729993,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vaudrey, Jamie M. P.","contributorId":202886,"corporation":false,"usgs":false,"family":"Vaudrey","given":"Jamie M. P.","affiliations":[],"preferred":false,"id":729994,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70192496,"text":"70192496 - 2016 - Updating movement estimates for American black ducks (Anas rubripes)","interactions":[],"lastModifiedDate":"2017-11-28T14:50:49","indexId":"70192496","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Updating movement estimates for American black ducks (Anas rubripes)","docAbstract":"<p><span>Understanding migratory connectivity for species of concern is of great importance if we are to implement management aimed at conserving them. New methods are improving our understanding of migration; however, banding (ringing) data is by far the most widely available and accessible movement data for researchers. Here, we use band recovery data for American black ducks (</span><i>Anas rubripes</i><span>) from 1951–2011 and analyze their movement among seven management regions using a hierarchical Bayesian framework. We showed that black ducks generally exhibit flyway fidelity, and that many black ducks, regardless of breeding region, stopover or overwinter on the Atlantic coast of the United States. We also show that a non-trivial portion of the continental black duck population either does not move at all or moves to the north during the fall migration (they typically move to the south). The results of this analysis will be used in a projection modeling context to evaluate how habitat or harvest management actions in one region would propagate throughout the continental population of black ducks. This analysis may provide a guide for future research and help inform management efforts for black ducks as well as other migratory species.</span></p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.1787","usgsCitation":"Robinson, O.J., McGowan, C.P., and Devers, P.K., 2016, Updating movement estimates for American black ducks (Anas rubripes): PeerJ, v. 4, p. 1-11, https://doi.org/10.7717/peerj.1787.","productDescription":"e1787; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-064925","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471194,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.1787","text":"Publisher Index Page"},{"id":349486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-10","publicationStatus":"PW","scienceBaseUri":"5a60fd7ae4b06e28e9c24ef4","contributors":{"authors":[{"text":"Robinson, Orin J.","contributorId":167172,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","email":"","middleInitial":"J.","affiliations":[{"id":33694,"text":"School of Forestry and Wildlife Sciences, Auburn University","active":true,"usgs":false}],"preferred":false,"id":723915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":716073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":723916,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192614,"text":"70192614 - 2016 - A functional model for characterizing long-distance movement behaviour","interactions":[],"lastModifiedDate":"2017-11-10T11:19:45","indexId":"70192614","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A functional model for characterizing long-distance movement behaviour","docAbstract":"<ol id=\"mee312465-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Advancements in wildlife telemetry techniques have made it possible to collect large data sets of highly accurate animal locations at a fine temporal resolution. These data sets have prompted the development of a number of statistical methodologies for modelling animal movement.</li><li>Telemetry data sets are often collected for purposes other than fine-scale movement analysis. These data sets may differ substantially from those that are collected with technologies suitable for fine-scale movement modelling and may consist of locations that are irregular in time, are temporally coarse or have large measurement error. These data sets are time-consuming and costly to collect but may still provide valuable information about movement behaviour.</li><li>We developed a Bayesian movement model that accounts for error from multiple data sources as well as movement behaviour at different temporal scales. The Bayesian framework allows us to calculate derived quantities that describe temporally varying movement behaviour, such as residence time, speed and persistence in direction. The model is flexible, easy to implement and computationally efficient.</li><li>We apply this model to data from Colorado Canada lynx (<i>Lynx canadensis</i>) and use derived quantities to identify changes in movement behaviour.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12465","usgsCitation":"Buderman, F.E., Hooten, M., Ivan, J., and Shenk, T.M., 2016, A functional model for characterizing long-distance movement behaviour: Methods in Ecology and Evolution, v. 7, no. 3, p. 264-273, https://doi.org/10.1111/2041-210X.12465.","productDescription":"10 p.","startPage":"264","endPage":"273","ipdsId":"IP-060296","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12465","text":"Publisher Index Page"},{"id":348573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-24","publicationStatus":"PW","scienceBaseUri":"5a06c8d4e4b09af898c8615f","contributors":{"authors":[{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":721583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shenk, Tanya M.","contributorId":82451,"corporation":false,"usgs":true,"family":"Shenk","given":"Tanya","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721584,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192669,"text":"70192669 - 2016 - Using GPS telemetry to determine roadways most susceptible to deer-vehicle collisions","interactions":[],"lastModifiedDate":"2017-11-27T11:36:43","indexId":"70192669","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Using GPS telemetry to determine roadways most susceptible to deer-vehicle collisions","docAbstract":"<p>More than 1 million wildlife-vehicle collisions occur annually in the United States. The majority of these accidents involve white-tailed deer (Odocoileus virginianus) and result in &gt;US $4.6 billion in damage and &gt;200 human fatalities. Prior research has used collision locations to assess sitespecific as well as landscape features that contribute to risk of deer-vehicle collisions. As an alternative approach, we calculated road-crossing locations from 25 GPS-instrumented white-tailed deer near Madison, Georgia (n=154,131 hourly locations). We identified crossing locations by creating movement paths between subsequent GPS points and then intersecting the paths with road locations. Using AIC model selection, we determined whether 10 local and landscape variables were successful at identifying areas where higher frequencies of deer crossings were likely to occur. Our findings indicate that traffic volume, distance to riparian areas, and the amount of forested area influenced the frequency of road crossings. Roadways that were predominately located in wooded landscapes and 200–300 m from riparian areas were crossed frequently. Additionally, we found that areas of low traffic volume (e.g., county roads) had the highest frequencies of deer crossings. Analyses utilizing only records of deer-vehicle collision locations cannot separate the relative contribution of deer crossing rates and traffic volume. Increased frequency of road crossings by deer in low-traffic, forested areas may lead to a greater risk of deer-vehicle collision than suggested by evaluations of deer-vehicle collision frequency alone. </p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Kramer, D.W., Prebyl, T.J., Stickles, J.H., Osborn, D.A., Irwin, B.J., Nibbelink, N.P., Warren, R.J., and Miller, K.V., 2016, Using GPS telemetry to determine roadways most susceptible to deer-vehicle collisions: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 3, p. 253-260.","productDescription":"8 p.","startPage":"253","endPage":"260","ipdsId":"IP-066519","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349352,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=402060"},{"id":349353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","county":"Morgan County","city":"Madison","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.48648071289061,\n              33.487151290117716\n            ],\n            [\n              -83.38159561157225,\n              33.487151290117716\n            ],\n            [\n              -83.38159561157225,\n              33.59360217465783\n            ],\n            [\n              -83.48648071289061,\n              33.59360217465783\n            ],\n            [\n              -83.48648071289061,\n              33.487151290117716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd79e4b06e28e9c24ef1","contributors":{"authors":[{"text":"Kramer, David W.","contributorId":15128,"corporation":false,"usgs":true,"family":"Kramer","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":723532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prebyl, Thomas J.","contributorId":200841,"corporation":false,"usgs":false,"family":"Prebyl","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stickles, James H.","contributorId":200842,"corporation":false,"usgs":false,"family":"Stickles","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":723534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborn, David A.","contributorId":200843,"corporation":false,"usgs":false,"family":"Osborn","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nibbelink, Nathan P.","contributorId":141326,"corporation":false,"usgs":false,"family":"Nibbelink","given":"Nathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":723536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warren, Robert J.","contributorId":112957,"corporation":false,"usgs":false,"family":"Warren","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":723537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Karl V.","contributorId":171517,"corporation":false,"usgs":false,"family":"Miller","given":"Karl","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":723538,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70191100,"text":"70191100 - 2016 - “Ductile to brittle” transition in thermally stable antigorite gouge at mantle pressures","interactions":[],"lastModifiedDate":"2017-09-26T14:11:45","indexId":"70191100","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"“Ductile to brittle” transition in thermally stable antigorite gouge at mantle pressures","docAbstract":"<p><span>General shear experiments on antigorite-rich serpentinite show a transition from ductile (distributed) to brittle (localized) deformation with increasing temperature from 300°C to 500°C at confining pressures from 1 to 2 GPa. The coefficient of friction associated with slip along fractures decreases from 0.23 to 0.07 with an increase in temperature from 300°C to 500°C. Velocity stepping experiments exhibit a positive rate dependence, as parameterized by&nbsp;</span><i>a-b</i><span><span>&nbsp;</span>values, that decrease modestly with increasing temperature from ~0.015 at 300°C to ~0.01 at 500°C. Fractures contain fine-grained foliated antigorite, and there is no evidence of dehydration. All samples have a moderate foliation and show microstructural evidence for both plastic and brittle deformation mechanisms. Under certain conditions the transition to brittle deformation, at high pressures and temperatures in antigorite, might generate earthquakes, which could explain the occurrence of some intermediate-depth seismicity within subduction zones in serpentinized regions that are too cold to induce dehydration.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2015JB012710","usgsCitation":"Proctor, B., and Hirth, G., 2016, “Ductile to brittle” transition in thermally stable antigorite gouge at mantle pressures: Journal of Geophysical Research B: Solid Earth, v. 121, no. 3, p. 1652-1663, https://doi.org/10.1002/2015JB012710.","productDescription":"12 p.","startPage":"1652","endPage":"1663","ipdsId":"IP-079788","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012710","text":"Publisher Index Page"},{"id":346100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-03-28","publicationStatus":"PW","scienceBaseUri":"59cb6734e4b017cf3141c6a3","contributors":{"authors":[{"text":"Proctor, Brooks P. 0000-0002-4878-8728 bproctor@usgs.gov","orcid":"https://orcid.org/0000-0002-4878-8728","contributorId":178527,"corporation":false,"usgs":true,"family":"Proctor","given":"Brooks P.","email":"bproctor@usgs.gov","affiliations":[],"preferred":true,"id":711204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirth, Greg","contributorId":176585,"corporation":false,"usgs":false,"family":"Hirth","given":"Greg","email":"","affiliations":[],"preferred":false,"id":711205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168701,"text":"70168701 - 2016 - Marine disease impacts, diagnosis, forecasting, management and policy","interactions":[],"lastModifiedDate":"2016-02-29T10:13:57","indexId":"70168701","displayToPublicDate":"2016-02-29T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Marine disease impacts, diagnosis, forecasting, management and policy","docAbstract":"<p><span>As Australians were spending millions of dollars in 2014 to remove the coral-eating crown of thorns sea star from the Great Barrier Reef, sea stars started washing up dead for free along North America's Pacific Coast. Because North American sea stars are important and iconic predators in marine communities, locals and marine scientists alike were alarmed by what proved to be the world's most widespread marine mass mortality in geographical extent and species affected, especially given its mysterious cause. Investigative research using modern diagnostic techniques implicated a never-before-seen virus [</span><a id=\"xref-ref-1-1\" class=\"xref-bibr\" href=\"http://rstb.royalsocietypublishing.org/content/371/1689/20150200#ref-1\">1</a><span>]. The virus inspired international attention to marine diseases, including this theme issue.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2015.0200","usgsCitation":"Lafferty, K.D., and Hofmann, E.E., 2016, Marine disease impacts, diagnosis, forecasting, management and policy: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 371, no. 1689, Article 20150200; 3 p., https://doi.org/10.1098/rstb.2015.0200.","productDescription":"Article 20150200; 3 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071248","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471203,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rstb.2015.0200","text":"External Repository"},{"id":318408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"1689","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-05","publicationStatus":"PW","scienceBaseUri":"56d56bafe4b015c306f1c123","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":621334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofmann, Eileen E.","contributorId":55726,"corporation":false,"usgs":true,"family":"Hofmann","given":"Eileen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":621335,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168731,"text":"70168731 - 2016 - Lake trout (<i>Salvelinus namaycush</i>) suppression for bull trout (<i>Salvelinus confluentus</i>) recovery in Flathead Lake, Montana, North America","interactions":[],"lastModifiedDate":"2016-11-03T16:35:55","indexId":"70168731","displayToPublicDate":"2016-02-29T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Lake trout (<i>Salvelinus namaycush</i>) suppression for bull trout (<i>Salvelinus confluentus</i>) recovery in Flathead Lake, Montana, North America","docAbstract":"<p><span>Non-native lake trout </span><i class=\"EmphasisTypeItalic \">Salvelinus namaycush</i><span> displaced native bull trout </span><i class=\"EmphasisTypeItalic \">Salvelinus confluentus</i><span> in Flathead Lake, Montana, USA, after 1984, when </span><i class=\"EmphasisTypeItalic \">Mysis diluviana</i><span> became abundant following its introduction in upstream lakes in 1968–1976. We developed a simulation model to determine the fishing mortality rate on lake trout that would enable bull trout recovery. Model simulations indicated that suppression of adult lake trout by 75% from current abundance would reduce predation on bull trout by 90%. Current removals of lake trout through incentivized fishing contests has not been sufficient to suppress lake trout abundance estimated by mark-recapture or indexed by stratified-random gill netting. In contrast, size structure, body condition, mortality, and maturity are changing consistent with a density-dependent reduction in lake trout abundance. Population modeling indicated total fishing effort would need to increase 3-fold to reduce adult lake trout population density by 75%. We conclude that increased fishing effort would suppress lake trout population density and predation on juvenile bull trout, and thereby enable higher abundance of adult bull trout in Flathead Lake and its tributaries.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10750-016-2703-0","usgsCitation":"Hansen, M.J., Hansen, B.S., and Beauchamp, D.A., 2016, Lake trout (<i>Salvelinus namaycush</i>) suppression for bull trout (<i>Salvelinus confluentus</i>) recovery in Flathead Lake, Montana, North America: Hydrobiologia, v. 783, no. 1, p. 317-334, https://doi.org/10.1007/s10750-016-2703-0.","productDescription":"18 p.","startPage":"317","endPage":"334","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070458","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":318404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":621443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Barry S","contributorId":167235,"corporation":false,"usgs":false,"family":"Hansen","given":"Barry","email":"","middleInitial":"S","affiliations":[{"id":24652,"text":"Confederated Salish & Kootenai Tribes","active":true,"usgs":false}],"preferred":false,"id":621444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":621445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157311,"text":"ofr20151173 - 2016 - Physical, chemical, and biological characteristics of selected headwater streams along the Allegheny Front, Blair County, Pennsylvania, July 2011–September 2013","interactions":[],"lastModifiedDate":"2016-02-29T10:21:36","indexId":"ofr20151173","displayToPublicDate":"2016-02-29T10:15:00","publicationYear":"2016","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":"2015-1173","title":"Physical, chemical, and biological characteristics of selected headwater streams along the Allegheny Front, Blair County, Pennsylvania, July 2011–September 2013","docAbstract":"<p>The Altoona Water Authority (AWA) obtains all of its water supply from headwater streams that drain western Blair County, an area underlain in part by black shale of the Marcellus Formation. Development of the shale-gas reservoirs will require new access roads, stream crossing, drill-pad construction, and pipeline installation, activities that have the potential to alter existing stream channel morphology, increase runoff and sediment supply, alter streamwater chemistry, and affect aquatic habitat. The U.S. Geological Survey, in cooperation with Altoona Water Authority and Blair County Conservation District, investigated the water quality of 12 headwater streams and biotic health of 10 headwater streams.</p>\n<p>Channel morphology was characterized at 10 of 12 stream sites using 500-foot (minimum) longitudinal profiles, four cross-sections each, and pebble counts. Channel slopes ranged from 0.008 in Poplar Run near Newry to 0.045 in Mill Run. In general, streams draining watersheds of 5 square miles or less and at higher elevation had the steepest slopes. On the basis of the median particle size, determined during pebble counts, the streambed substrate can be characterized as cobble (Mill Run, Bells Gap Run, Tipton Run, and Sink Run), a mix of gravel and cobble (South Poplar Run, Dry Gap Run, Glenwhite Run, Sugar Run, Blair Gap Run), and gravel (Poplar Run, Newry).</p>\n<p>Daily mean values of gage height were determined, and continuous (30-minute interval) data consisting of specific conductance and water temperature were collected, at four sites; each site showed typical seasonal fluctuations and the effects of precipitation.</p>\n<p>Streamflow affected discrete water-quality. Dissolved oxygen always increased with increased streamflow. Most cations (including barium and strontium), along with pH, specific conductance, and total dissolved solids, decreased with greater streamflow, reflecting the dilution effect of moderately acidic surface runoff and precipitation on groundwater discharge (base flow) into the stream channels. Concentrations of trace elements varied by constituent and streamflow.</p>\n<p>On the basis of the results of water-quality analyses for the selected constituents, the water quality in 9 of the 12 streams can be considered fair or attaining with no measured constituent exceeding a U.S. Environmental Protection Agency maximum or secondary contaminant level. Abandoned mine drainage (AMD) affects Glenwhite Run, Blair Gap Run, and Sugar Run. For Sugar Run, the AMD is reflected in the elevated iron concentration (greater than 300 micrograms per liter). Manganese concentrations greater than 50 micrograms per liter were measured in Glenwhite Run, Sugar Run, and Blair Gap Run.</p>\n<p>A mixing curve based upon chloride/bromide ratios for two end points&mdash;precipitation and deicing salts&mdash;indicate that deicing salt is migrating to the streams. A similar curve representative of late-emerging flowback water from Marcellus gas wells indicated that the surface-water samples had not been influenced by such brines.</p>\n<p>On the basis of the concentration of major ions, the streams in the study area generally had mixed cation and anion compositions. Calcium is the dominant cation in one stream. Carbonate and bicarbonate are the dominant anions for two streams, and sulfate is dominant in three streams. The remaining six streams do not have a dominant ion.</p>\n<p>Biotic health was characterized at 10 of 12 stream sites; the two sites excluded were established late in the study period (May 2013) for refinement of water quality in the headwaters of Poplar Run and the location of Marcellus Formation gas wells. On the basis of the Maryland Index of Biotic Integrity (MdIBI) for fish assemblages, 8 of 10 streams can be considered in fair health. Tipton Run had the highest MdIBI score (3.75) and the greatest number of native species. South Poplar Run had the lowest MdIBI score (1.75); pollution tolerant blacknose dace was dominant. On the basis of the Pennsylvania Department of Environmental Protection macroinvertebrate index of biotic integrity, 9 of 10 streams were characterized as attaining, with scores as high as 88.9 at Tipton Run. Only Sugar Run was characterized as impaired, with a score of 40.4.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151173","collaboration":"Prepared in cooperation with the Altoona Water Authority and the Blair County Conservation District","usgsCitation":"Low, D.J., Brightbill, R.A., Eggleston, H.L., and Chaplin, J.J., 2016, Physical, chemical, and biological characteristics  of selected headwater streams along the Allegheny Front, Blair County, Pennsylvania, July 2011–September 2013: U.S. Geological Survey Open-File Report 2015–1173, 66 p., https://dx.doi.org/10.3133/ofr20151173.","productDescription":"Report: viii, 66 p.; Appendixes 1-3","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059743","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":314565,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1173/ofr20151173.pdf","text":"Report","size":"3.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1173"},{"id":314564,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1173/coverthb.jpg"},{"id":314566,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1173/ofr20151173_appendix1-surfacewaterquality.xlsx","text":"Appendix 1 - Surface Water Quality","size":"145 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1173"},{"id":314567,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1173/ofr20151173_appendix2-fishassemblages.xlsx","text":"Appendix 2 - Fish Assemblages","size":"92.6 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1173"},{"id":314568,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1173/ofr20151173_appendix3-ibiscore.xlsx","text":"Appendix 3 - Index of Biotic Integrity","size":"21.1 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1173"}],"country":"United States","state":"Pennsylvania","county":"Blair County","otherGeospatial":"Allegheny Front","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.35861206054688,\n              40.73581157695217\n            ],\n            [\n              -78.21578979492188,\n              40.677513627085034\n            ],\n            [\n              -78.45474243164062,\n              40.24913603826261\n            ],\n            [\n              -78.62777709960938,\n              40.32665496008367\n            ],\n            [\n              -78.35861206054688,\n              40.73581157695217\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\">Director</a>, Pennsylvania Water Science Center<br /> U.S. Geological Survey<br /> 215 Limekiln Road<br /> New Cumberland, PA 17070<br /> <a href=\"http://pa.water.usgs.gov/\">http://pa.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Study Design and Methods</li>\n<li>Monitoring Results</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix 1. Surface-water-quality monitoring results for 12 streams, Blair County, Pennsylvania</li>\n<li>Appendix 2. Fish assemblages in 10 watersheds, Blair County, Pennsylvania</li>\n<li>Appendix 3. Pennsylvania Department of Environmental Protection Index of Biotic Integrity (IBI) in wadeable freestone riffle-run streams for 10 watersheds, Blair County, Pennsylvania</li>\n</ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2016-02-29","noUsgsAuthors":false,"publicationDate":"2016-02-29","publicationStatus":"PW","scienceBaseUri":"56d56bb1e4b015c306f1c128","contributors":{"authors":[{"text":"Low, Dennis J. djlow@usgs.gov","contributorId":3450,"corporation":false,"usgs":true,"family":"Low","given":"Dennis","email":"djlow@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggleston, Heather L. egglesto@usgs.gov","contributorId":4051,"corporation":false,"usgs":true,"family":"Eggleston","given":"Heather L.","email":"egglesto@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":572664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaplin, Jeffrey J. 0000-0002-0617-5050 jchaplin@usgs.gov","orcid":"https://orcid.org/0000-0002-0617-5050","contributorId":147,"corporation":false,"usgs":true,"family":"Chaplin","given":"Jeffrey","email":"jchaplin@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572665,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174004,"text":"70174004 - 2016 - Structure of the Hat Creek graben region: Implications for the structure of the Hat Creek graben and transfer of right-lateral shear from the Walker Lane north of Lassen Peak, northern California, from gravity and magnetic anomalies","interactions":[],"lastModifiedDate":"2021-08-24T15:07:19.642897","indexId":"70174004","displayToPublicDate":"2016-02-29T02:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structure of the Hat Creek graben region: Implications for the structure of the Hat Creek graben and transfer of right-lateral shear from the Walker Lane north of Lassen Peak, northern California, from gravity and magnetic anomalies","docAbstract":"<p>Interpretation of magnetic and new gravity data provides constraints on the geometry of the Hat Creek Fault, the amount of right-lateral offset in the area between Mt. Shasta and Lassen Peak, and confirmation of the influence of pre-existing structure on Quaternary faulting. Neogene volcanic rocks coincide with short-wavelength magnetic anomalies of both normal and reversed polarity, whereas a markedly smoother magnetic field occurs over the Klamath Mountains and its Paleogene cover. Although the magnetic field over the Neogene volcanic rocks is complex, the Hat Creek Fault, which is one of the most prominent normal faults in the region and forms the eastern margin of the Hat Creek Valley, is marked by the eastern edge of a north-trending magnetic and gravity high 20-30 km long. Modeling of these anomalies indicates that the fault is a steeply dipping (~75-85&deg;) structure. The spatial relationship of the fault as modeled by the potential-field data, the youngest strand of the fault, and relocated seismicity suggests that deformation continues to step westward across the valley, consistent with a component of right-lateral slip in an extensional environment. Filtered aeromagnetic data highlight a concealed magnetic body of Mesozoic or older age north of Hat Creek Valley. The body&rsquo;s northwest margin strikes northeast and is linear over a distance of ~40 km. Within the resolution of the aeromagnetic data (1-2 km), we discern no right-lateral offset of this body. Furthermore, Quaternary faults change strike or appear to end, as if to avoid this concealed magnetic body and to pass along its southeast edge, suggesting that pre-existing crustal structure influenced younger faulting, as previously proposed based on gravity data.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01253.1","usgsCitation":"Langenheim, V., Jachens, R.C., Clynne, M.A., and Muffler, L.P., 2016, Structure of the Hat Creek graben region: Implications for the structure of the Hat Creek graben and transfer of right-lateral shear from the Walker Lane north of Lassen Peak, northern California, from gravity and magnetic anomalies: Geosphere, v. 12, no. 3, p. 790-808, https://doi.org/10.1130/GES01253.1.","productDescription":"19 p.","startPage":"790","endPage":"808","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066621","costCenters":[{"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":471204,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01253.1","text":"Publisher Index Page"},{"id":324192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.60791015625,\n              40.38002840251183\n            ],\n            [\n              -119.091796875,\n              40.36328834091583\n            ],\n            [\n              -118.98193359375,\n              39.16414104768742\n            ],\n            [\n              -116.12548828124999,\n              36.949891786813296\n            ],\n            [\n              -116.08154296875001,\n              35.24561909420681\n            ],\n            [\n              -120.78369140624999,\n              39.16414104768742\n            ],\n            [\n              -120.60791015625,\n              40.38002840251183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-25","publicationStatus":"PW","scienceBaseUri":"576bb6bde4b07657d1a2295e","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":640251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":640252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":640253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":640254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168734,"text":"70168734 - 2016 - Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests","interactions":[],"lastModifiedDate":"2016-02-29T15:20:03","indexId":"70168734","displayToPublicDate":"2016-02-26T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests","docAbstract":"<p>In evergreen tropical forests, the extent, magnitude, and controls on photosynthetic seasonality are poorly resolved and inadequately represented in Earth system models. Combining camera observations with ecosystem carbon dioxide fluxes at forests across rainfall gradients in Amaz&ocirc;nia, we show that aggregate canopy phenology, not seasonality of climate drivers, is the primary cause of photosynthetic seasonality in these forests. Specifically, synchronization of new leaf growth with dry season litterfall shifts canopy composition toward younger, more light-use efficient leaves, explaining large seasonal increases (~27%) in ecosystem photosynthesis. Coordinated leaf development and demography thus reconcile seemingly disparate observations at different scales and indicate that accounting for leaf-level phenology is critical for accurately simulating ecosystem-scale responses to climate change.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York","doi":"10.1126/science.aad5068","collaboration":"DOE, Univ. of Arizona, FAPESP, FAPEAM and several universities and institutions in the U.S., Brazil and Australia.","usgsCitation":"Wu, J., Albert, L., Lopes, A., Restrepo-Coupe, N., Hayek, M., Wiedemann, K.T., Guan, K., Stark, S.C., Christoffersen, B., Prohaska, N., Tavares, J.V., Marostica, S., Kobayashi, H., Ferreira, M.L., Campos, K.S., da Silva, R., Brando, P.M., Dye, D.G., Huxman, T.E., Huete, A., Nelson, B., and Saleska, S., 2016, Leaf 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,{"id":70177906,"text":"70177906 - 2016 - Influence of vertical and lateral heat transfer on permafrost thaw, peatland landscape transition, and groundwater flow","interactions":[],"lastModifiedDate":"2018-08-10T16:14:39","indexId":"70177906","displayToPublicDate":"2016-02-26T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Influence of vertical and lateral heat transfer on permafrost thaw, peatland landscape transition, and groundwater flow","docAbstract":"<p><span>Recent climate change has reduced the spatial extent and thickness of permafrost in many discontinuous permafrost regions. Rapid permafrost thaw is producing distinct landscape changes in the Taiga Plains of the Northwest Territories, Canada. As permafrost bodies underlying forested peat plateaus shrink, the landscape slowly transitions into unforested wetlands. The expansion of wetlands has enhanced the hydrologic connectivity of many watersheds via new surface and near-surface flow paths, and increased streamflow has been observed. Furthermore, the decrease in forested peat plateaus results in a net loss of boreal forest and associated ecosystems. This study investigates fundamental processes that contribute to permafrost thaw by comparing observed and simulated thaw development and landscape transition of a peat plateau-wetland complex in the Northwest Territories, Canada from 1970 to 2012. Measured climate data are first used to drive surface energy balance simulations for the wetland and peat plateau. Near-surface soil temperatures simulated in the surface energy balance model are then applied as the upper boundary condition to a three-dimensional model of subsurface water flow and coupled energy transport with freeze-thaw. Simulation results demonstrate that lateral heat transfer, which is not considered in many permafrost models, can influence permafrost thaw rates. Furthermore, the simulations indicate that landscape evolution arising from permafrost thaw acts as a positive feedback mechanism that increases the energy absorbed at the land surface and produces additional permafrost thaw. The modeling results also demonstrate that flow rates in local groundwater flow systems may be enhanced by the degradation of isolated permafrost bodies.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR018057","usgsCitation":"Kurylyk, B.L., Hayashi, M., Quinton, W.L., McKenzie, J.M., and Voss, C.I., 2016, Influence of vertical and lateral heat transfer on permafrost thaw, peatland landscape transition, and groundwater flow: Water Resources Research, v. 52, no. 2, p. 1286-1305, https://doi.org/10.1002/2015WR018057.","productDescription":"20 p.","startPage":"1286","endPage":"1305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071592","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr018057","text":"Publisher Index Page"},{"id":330403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories","otherGeospatial":"Scotty Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.53027343749999,\n              60.05935761134086\n            ],\n            [\n              -123.53027343749999,\n              62.63376960786813\n            ],\n            [\n              -119.11376953125,\n              62.63376960786813\n            ],\n            [\n              -119.11376953125,\n              60.05935761134086\n            ],\n            [\n              -123.53027343749999,\n              60.05935761134086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-26","publicationStatus":"PW","scienceBaseUri":"5811c0f3e4b0f497e79a5a7d","contributors":{"authors":[{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":652148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayashi, Masaki","contributorId":176832,"corporation":false,"usgs":false,"family":"Hayashi","given":"Masaki","affiliations":[],"preferred":false,"id":652149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quinton, William L.","contributorId":176298,"corporation":false,"usgs":false,"family":"Quinton","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":652150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Jeffrey M.","contributorId":176299,"corporation":false,"usgs":false,"family":"McKenzie","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":652152,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168795,"text":"70168795 - 2016 - Tolerance to multiple climate stressors: A case study of Douglas-fir drought and cold hardiness","interactions":[],"lastModifiedDate":"2020-10-16T16:18:37.570819","indexId":"70168795","displayToPublicDate":"2016-02-26T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Tolerance to multiple climate stressors: A case study of Douglas-fir drought and cold hardiness","docAbstract":"<ol class=\"\"><li>Drought and freeze events are two of the most common forms of climate extremes which result in tree damage or death, and the frequency and intensity of both stressors may increase with climate change. Few studies have examined natural covariation in stress tolerance traits to cope with multiple stressors among wild plant populations.</li><li>We assessed the capacity of coastal Douglas‐fir (<i>Pseudotsuga menziesii</i><span>&nbsp;</span>var.<span>&nbsp;</span><i>menziesii</i>), an ecologically and economically important species in the northwestern USA, to tolerate both drought and cold stress on 35 populations grown in common gardens. We used principal components analysis to combine drought and cold hardiness trait data into generalized stress hardiness traits to model geographic variation in hardiness as a function of climate across the Douglas‐fir range.</li><li>Drought and cold hardiness converged among populations along winter temperature gradients and diverged along summer precipitation gradients. Populations originating in regions with cold winters had relatively high tolerance to both drought and cold stress, which is likely due to overlapping adaptations for coping with winter desiccation. Populations from regions with dry summers had increased drought hardiness but reduced cold hardiness, suggesting a trade‐off in tolerance mechanisms.</li><li>Our findings highlight the necessity to look beyond bivariate trait–climate relationships and instead consider multiple traits and climate variables to effectively model and manage for the impacts of climate change on widespread species.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2007","usgsCitation":"Bansal, S., Harrington, C., and St. Clair, J.B., 2016, Tolerance to multiple climate stressors: A case study of Douglas-fir drought and cold hardiness: Ecology and Evolution, v. 6, no. 7, p. 2074-2083, https://doi.org/10.1002/ece3.2007.","productDescription":"10 p.","startPage":"2074","endPage":"2083","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070149","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research 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