{"pageNumber":"1089","pageRowStart":"27200","pageSize":"25","recordCount":184757,"records":[{"id":70173831,"text":"sir20165072 - 2016 - Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee","interactions":[],"lastModifiedDate":"2016-08-10T13:43:31","indexId":"sir20165072","displayToPublicDate":"2016-08-10T00:00:00","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":"2016-5072","title":"Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee","docAbstract":"<p>The Mississippi Embayment Regional Aquifer Study groundwater-flow model was used to simulate the potential effects of future groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant in Shelby County, Tennessee. The scenario used in the simulation consisted of a 30-year average withdrawal period followed by a 30-day maximum withdrawal period. Effects of withdrawals at the Allen plant site on the Mississippi embayment aquifer system were evaluated by comparing the difference in simulated water levels in the aquifers at the end of the 30-year average withdrawal period and at the end of the scenario to a base case without the Allen combined-cycle combustion turbine plant withdrawals. Simulated potentiometric surface declines in the Memphis aquifer at the Allen plant site were about 7 feet at the end of the 30-year average withdrawal period and 11 feet at the end of the scenario. The affected area of the Memphis aquifer at the Allen plant site as delineated by the 4-foot potentiometric surface-decline contour was 2,590 acres at the end of the 30-year average withdrawal period and 11,380 acres at the end of the scenario. Simulated declines in the underlying Fort Pillow aquifer and overlying shallow aquifer were both less than 1 foot at the end of the 30-year average withdrawal period and the end of the scenario.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165072","collaboration":"Prepared in cooperation with the Tennessee Valley Authority","usgsCitation":"Haugh, C.J., 2016, Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee: U.S. Geological Survey Scientific Investigations Report 2016–5072, 8 p., https://dx.doi.org/10.3133/sir20165072.","productDescription":"iv, 8 p.","startPage":"1","endPage":"8","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072773","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326304,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5072/coverthb.jpg"},{"id":326305,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5072/sir20165072.pdf","text":"Report","size":"668 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5072"}],"country":"United States","state":"Arkansas, Mississippi, Tennessee","county":"Shelby County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.5,\n              35.375\n            ],\n            [\n              -90.5,\n              34.75\n            ],\n            [\n              -89.75,\n              34.75\n            ],\n            [\n              -89.75,\n              35.375\n            ],\n            [\n              -90.5,\n              35.375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Chief, Lower Mississippi-Gulf Water Science Center&mdash;Tennessee<br />U.S. Geological Survey<br />640 Grassmere Park, Suite 100, <br />Nashville, TN 37211</p>\n<p><a href=\"http://tn.water.usgs.gov/\">http://tn.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Regional Model</li>\n<li>Effects of Groundwater Withdrawals</li>\n<li>Model Limitations</li>\n<li>Summary</li>\n<li>References</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452ee","contributors":{"authors":[{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638540,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171480,"text":"sir20165070 - 2016 - Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","interactions":[],"lastModifiedDate":"2016-09-12T10:03:01","indexId":"sir20165070","displayToPublicDate":"2016-08-09T11:30:00","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":"2016-5070","title":"Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed hydrologic and hydraulic analyses to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers.</p><p>The hydrologic assessment was designed to determine the outflow hydrographs and peak discharges for Lago El Guineo and other subbasins in the Río Grande de Manatí hydrographic basin for three extreme rainfall events: (1) a 6-hour probable maximum precipitation event, (2) a 24-hour probable maximum precipitation event, and (3) a 24-hour, 100-year recurrence rainfall event. The hydraulic study simulated a dam failure of Lago El Guineo Dam using flood hydrographs generated from the hydrologic study. The simulated dam failure generated a hydrograph that was routed downstream from Lago El Guineo Dam through the lower reaches of the Río Toro Negro and the Río Grande de Manatí to determine water-surface profiles developed from the event-based hydrologic scenarios and “sunny day” conditions. The Hydrologic Engineering Center’s Hydrologic Modeling System (HEC–HMS) and Hydrologic Engineering Center’s River Analysis System (HEC–RAS) computer programs, developed by the U.S. Army Corps of Engineers, were used for the hydrologic and hydraulic modeling, respectively. The flow routing in the hydraulic analyses was completed using the unsteady flow module available in the HEC–RAS model.</p><p>Above the Lago El Guineo Dam, the simulated inflow peak discharges from HEC–HMS resulted in about 550 and 414 cubic meters per second for the 6- and 24-hour probable maximum precipitation events, respectively. The 24-hour, 100-year recurrence storm simulation resulted in a peak discharge of about 216 cubic meters per second. For the hydrologic analysis, no dam failure conditions are considered within the model. The results of the hydrologic simulations indicated that for all hydrologic conditions scenarios, the Lago El Guineo Dam would not experience overtopping. For the dam breach hydraulic analysis, failure by piping was the selected hypothetical failure mode for the Lago El Guineo Dam.</p><p>Results from the simulated dam failure of the Lago El Guineo Dam using the HEC–RAS model for the 6- and 24-hour probable maximum precipitation events indicated peak discharges below the dam of 1,342.43 and 1,434.69 cubic meters per second, respectively. Dam failure during the 24-hour, 100-year recurrence rainfall event resulted in a peak discharge directly downstream from Lago El Guineo Dam of 1,183.12 cubic meters per second. Dam failure during sunny-day conditions (no precipitation) produced a peak discharge at Lago El Guineo Dam of 1,015.31 cubic meters per second assuming the initial water-surface elevation was at the morning-glory spillway invert elevation.</p><p>The results of the hydraulic analysis indicate that the flood would extend to many inhabited areas along the stream banks from the Lago El Guineo Dam to the mouth of the Río Grande as a result of the simulated failure of the Lago El Guineo Dam. Low-lying regions in the vicinity of Ciales, Manatí, and Barceloneta, Puerto Rico, are among the regions that would be most affected by failure of the Lago El Guineo Dam. Effects of the flood control (levee) structure constructed in 2000 to provide protection to the low-lying populated areas of Barceloneta, Puerto Rico, were considered in the hydraulic analysis of dam failure. The results indicate that overtopping can be expected in the aforementioned levee during 6- and 24-hour probable maximum precipitation events. The levee was not overtopped during dam failure scenarios under the 24-hour, 100-year recurrence rainfall event or sunny-day conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165070","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, Julieta, and Torres-Sierra, Heriberto, 2016, Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2016–5070, 49 p., 4 pls., https://dx.doi.org/10.3133/sir20165070.","productDescription":"Report: vi, 49 p.; 4 Plates: 29 x 35 inches; 2 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062802","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":438575,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2D7Q","text":"USGS data release","linkHelpText":"Dam Failure Analysis for the Lago de Guineo dam, Orocovis, Puerto Rico"},{"id":326029,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate02.pdf","text":"Plate 2 - Flood-Inundation Map of the Predicted 24-Hour Probable Maximum Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326026,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5070/coverthb.jpg"},{"id":326028,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate01.pdf","text":"Plate 1 - Flood-Inundation Map of the Predicted 6-Hour Probable Maximum Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326027,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326030,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate03.pdf","text":"Plate 3 - Flood-Inundation Map of the Predicted 100-Year Recurrence, 24-Hour Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326031,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate04.pdf","text":"Plate 4 - Flood-Inundation Map During Sunny Day Conditions, Northern Part of Rio Grande de Manati Basin ","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326032,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72V2D7Q","text":"USGS data release - Spatial Data for Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","description":"SIR 2016-5070"},{"id":326195,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72J690R","text":"USGS data release - HEC-HMS and HEC-RAS models used to analyze dam failure for the Lago El Guineo Dam, Orocovis, Puerto Rico","description":"SIR 2016-5070"}],"country":"Puerto Rico","city":"Orocovis","otherGeospatial":"Lago El Guineo Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.583333,\n              18.49\n            ],\n            [\n              -66.583333,\n              18.291667\n            ],\n            [\n              -66.394444,\n              18.291667\n            ],\n            [\n              -66.394444,\n              18.49\n            ],\n            [\n              -66.583333,\n              18.49\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Caribbean-Florida Water Science Center<br /> U.S. Geological Survey<br /> 4446 Pet Lane, Suite 108<br /> Lutz, FL 33559<br /> 813-498-5000<br /> <a href=\"http://pr.water.usgs.gov/\">http://pr.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract&nbsp;</li>\n<li>Introduction</li>\n<li>Hydrologic Study</li>\n<li>Hydraulic Study</li>\n<li>Uncertainties in the Flood Inundation Maps</li>\n<li>Summary and Conclusions</li>\n<li>References Cited</li>\n<li>Appendix 1.&nbsp;Hydrologic Engineering Center&rsquo;s Hydrologic Modeling System Output Hydrographs for the Dam Failure Analysis of the Lago El Guineo Dam, Orocovis, Puerto Rico&nbsp;</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-09","noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57aaf0a3e4b05e859be09b07","contributors":{"authors":[{"text":"Gómez-Fragoso, Julieta jgomez-fragoso@usgs.gov","contributorId":169855,"corporation":false,"usgs":true,"family":"Gómez-Fragoso","given":"Julieta","email":"jgomez-fragoso@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heriberto Torres-Sierra","contributorId":141082,"corporation":false,"usgs":false,"family":"Heriberto Torres-Sierra","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":644545,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175409,"text":"70175409 - 2016 - Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data","interactions":[],"lastModifiedDate":"2016-09-06T13:32:42","indexId":"70175409","displayToPublicDate":"2016-08-09T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data","docAbstract":"<p><span>Drift-foraging models offer a mechanistic description of how fish feed in flowing water and the application of drift-foraging bioenergetics models to answer both applied and theoretical questions in aquatic ecology is growing. These models typically include nonlinear descriptions of ecological processes and as a result may be sensitive to how model inputs are summarized because of a mathematical property of nonlinear equations known as Jensen&rsquo;s inequality. In particular, we show that the way in which continuous size distributions of invertebrate prey are represented within foraging models can lead to biases within the modeling process. We begin by illustrating how different equations common to drift-foraging models are sensitive to invertebrate inputs. We then use two case studies to show how different representations of invertebrate prey can influence predictions of energy intake and lifetime growth. Greater emphasis should be placed on accurate characterizations of invertebrate drift, acknowledging that inferences from drift-foraging models may be influenced by how invertebrate prey are represented.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10641-016-0507-8","usgsCitation":"Dodrill, M.J., and Yackulic, C.B., 2016, Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data: Environmental Biology of Fishes, v. 99, no. 8, p. 659-670, https://doi.org/10.1007/s10641-016-0507-8.","productDescription":"12 p.","startPage":"659","endPage":"670","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070151","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":326332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57ac50dbe4b0d1835674b25c","chorus":{"doi":"10.1007/s10641-016-0507-8","url":"http://dx.doi.org/10.1007/s10641-016-0507-8","publisher":"Springer Nature","authors":"Dodrill Michael J., Yackulic Charles B.","journalName":"Environmental Biology of Fishes","publicationDate":"8/9/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/9/2016"},"contributors":{"authors":[{"text":"Dodrill, Michael J. 0000-0002-7038-7170 mdodrill@usgs.gov","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":5468,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","email":"mdodrill@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174244,"text":"ofr20161061 - 2016 - Demographics and movements of least terns and piping plovers in the Central Platte River Valley, Nebraska","interactions":[],"lastModifiedDate":"2016-08-10T09:08:51","indexId":"ofr20161061","displayToPublicDate":"2016-08-09T00:00:00","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":"2016-1061","title":"Demographics and movements of least terns and piping plovers in the Central Platte River Valley, Nebraska","docAbstract":"<p>The Central Platte River Valley provides breeding habitat for a variety of migratory birds, including federally endangered interior least terns (<i>Sternula antillarum</i>; least tern) and threatened piping plovers (<i>Charadrius melodus</i>). Since 2009, researchers have collected demographic data on both species that span their lifecycle (that is, from egg laying through survival of adults). Demographic data were used to estimate vital rates (for example, nest survival, chick survival, and so on) for both species and assess how these vital rates were related to type and age of nesting habitat. Nest survival of both species was unrelated to the age of the site a nest was initiated on. Piping plover chick survival to fledging age was not related to the age of the site it was hatched at, however, the probability of a least tern chick surviving to fledging was higher at older sites. In general there were fewer piping plover nests than least tern nests found at sites created through either the physical construction of a new site or new vegetation management regimes, during 2009–14.</p><p>Mean daily least tern nest survival was 0.9742 (95-percent confidence interval [CI]: 0.9692–0.9783) and cumulative nest survival was 0.59 (95-percent CI: 0.53–0.65). Mean daily least tern chick survival was 0.9602 (95-percent CI: 0.9515–0.9673) and cumulative survival to fledging was 0.54 (95-percent CI = 0.48–0.61). Annual apparent survival rates were estimated at 0.42 (95-percent CI = 0.22–0.64) for adult least terns nesting in the Central Platte River Valley and an apparent survival rate of 0.14 (95-pecent CI = 0.04–0.41) for juvenile least terns. The number of least tern nests present at sites created during 2009–14 was associated with the age of the site; more least tern nests were associated with older sites. During 2009–14, there were four (less than 1 percent of all chicks marked) least tern chicks hatched from the Central Platte River Valley that were subsequently captured on nests as adults. Two of these least terns returned to nest at the same site they had hatched from. Ten instances were documented in which an adult least tern could either switch to nest at a new location or remain at the previous location with the onset of a new year. In five (50 percent) of these instances, least terns returned to nest on the site where they had nested in a previous year.</p><p>For piping plovers, mean daily apparent nest survival was 0.9880 (95-pecent CI: 0.9836–0.9912) and cumulative nest survival was 0.66 (95-pecent CI: 0.57–0.74). Mean daily piping plover chick survival was 0.9621 (95-pecent CI: 0.9514–0.9706) and cumulative survival to fledging was 0.46 (95-pecent CI = 0.37– 0.56). The annual apparent survival estimate for adult piping plovers nesting in the Central Platte River Valley was 0.76 (95-pecent CI = 0.65–0.85) and was 0.20 (95-pecent CI = 0.14–0.29) for juvenile piping plovers. The number of piping plover nests present at sites created through either the physical construction of a new site or new vegetation management regimes was also associated with site age, with more piping plover nests associated with older sites; however, in general there were fewer piping plover nests found at created sites than least tern nests. Only first-year adult piping plovers were observed on sites in the first year of availability, whereas older sites had a higher proportion of after-first-year adult piping plovers than first-year adult piping plovers. Twelve piping plover chicks (approximately 3 percent of all chicks marked) hatched from the Central Platte River Valley and were subsequently documented on nests as adults. All piping plovers returned to nest on different sites from the one on which they hatched. A total of 45 instances were documented in which an adult plover could either switch to nest at a new location or remain at the previous location with the onset of a new year. In 39 instances (87 percent), the adult nested on the same site as its prior documented nesting attempt and in 6 of these instances the adult switched to a new nesting location between years. There were 13 of 75 uniquely identifiable piping plovers observed to renest (that is, initiate more than one nest in a season) during 2009–14; no renests were observed among uniquely identifiable least terns. In all but one case, piping plover renests were found at the same site as the first nest initiated that season. For birds that renested, the mean initiation date of the first nest was May 6 and the mean initiation date of the second nest was June 8. On average, renests were initiated 7.5 days plus or minus 7.3 (SD [standard deviation]) following the date the initial nesting attempt was ‘fated’ (considered either failed or hatched).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161061","usgsCitation":"Roche, E.A., Sherfy, M.H., Ring, M.M., Shaffer, T.L., Anteau, M.J., and Stucker, J.H., 2016, Demographics and movements of least terns and piping plovers in the Central Platte River Valley, Nebraska: U.S. Geological Survey Open-File Report 2016–1061, 27 p., https://dx.doi.org/10.3133/ofr20161061.","productDescription":"vi, 27 p.","startPage":"1","endPage":"27","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066073","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research 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PSC"},"publishedDate":"2016-08-09","noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57aaf0a4e4b05e859be09b09","contributors":{"authors":[{"text":"Roche, Erin A. eroche@usgs.gov","contributorId":5558,"corporation":false,"usgs":true,"family":"Roche","given":"Erin","email":"eroche@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ring, Megan M. 0000-0001-8331-8492 mring@usgs.gov","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":5149,"corporation":false,"usgs":true,"family":"Ring","given":"Megan","email":"mring@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641591,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189896,"text":"70189896 - 2016 - Parsing anomalous versus normal diffusive behavior of bedload sediment particles","interactions":[],"lastModifiedDate":"2017-08-01T10:24:17","indexId":"70189896","displayToPublicDate":"2016-08-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Parsing anomalous versus normal diffusive behavior of bedload sediment particles","docAbstract":"<p>Bedload sediment transport is the basic physical ingredient of river evolution. Formulae exist for estimating transport rates, but the diffusive contribution to the sediment flux, and the associated spreading rate of tracer particles, are not clearly understood. The start-and-stop motions of sediment particles transported as bedload on a streambed mimic aspects of the Einstein–Smoluchowski description of the random-walk motions of Brownian particles. Using this touchstone description, recent work suggests the presence of anomalous diffusion, where the particle spreading rate differs from the linear dependence with time of Brownian behavior. We demonstrate that conventional measures of particle spreading reveal different attributes of bedload particle behavior depending on details of the calculation. When we view particle motions over start-and-stop timescales obtained from high-speed (250 Hz) imaging of coarse-sand particles, high-resolution measurements reveal ballistic-like behavior at the shortest (10<sup>−2</sup> s) timescale, followed by apparent anomalous behavior due to correlated random walks in transition to normal diffusion (&gt;10<sup>−1</sup> s) – similar to Brownian particle behavior but involving distinctly different physics. However, when treated as a ‘virtual plume’ over this timescale range, particles exhibit inhomogeneous diffusive behavior because both the mean and the variance of particle travel distances increase nonlinearly with increasing travel times, a behavior that is unrelated to anomalous diffusion or to Brownian-like behavior. Our results indicate that care is needed in suggesting anomalous behavior when appealing to conventional measures of diffusion formulated for ideal particle systems.</p>","language":"English","publisher":"Wiley Online Library","doi":"10.1002/esp.3994","usgsCitation":"Fathel, S., Furbish, D., and Schmeeckle, M., 2016, Parsing anomalous versus normal diffusive behavior of bedload sediment particles: Earth Surface Processes and Landforms, v. 41, p. 1797-1803, https://doi.org/10.1002/esp.3994.","productDescription":"7 p.","startPage":"1797","endPage":"1803","ipdsId":"IP-073672","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b79d","contributors":{"authors":[{"text":"Fathel, Siobhan","contributorId":189088,"corporation":false,"usgs":false,"family":"Fathel","given":"Siobhan","email":"","affiliations":[],"preferred":false,"id":706650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furbish, David","contributorId":189086,"corporation":false,"usgs":false,"family":"Furbish","given":"David","affiliations":[],"preferred":false,"id":706651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmeeckle, Mark mschmeeckle@usgs.gov","contributorId":173789,"corporation":false,"usgs":true,"family":"Schmeeckle","given":"Mark","email":"mschmeeckle@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175390,"text":"70175390 - 2016 - Pruning high-value Douglas-fir can reduce dwarf mistletoe severity and increase longevity in central Oregon","interactions":[],"lastModifiedDate":"2016-08-09T10:12:53","indexId":"70175390","displayToPublicDate":"2016-08-08T17:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Pruning high-value Douglas-fir can reduce dwarf mistletoe severity and increase longevity in central Oregon","docAbstract":"<p>Mid- to very large-sized Douglas-fir (Pseudotsuga menzieseii var. menziesii) that were lightly- to moderately-infected by dwarf mistletoe (Arceuthobium douglasii) were analyzed over a 14-year period to evaluate whether mechanical pruning could eradicate mistletoe (or at least delay the onset of severe infection) without significantly affecting tree vitality and by inference, longevity. Immediate and longterm pruning effects on mistletoe infection severity were assessed by comparing pruned trees (n = 173) to unpruned trees (n = 55) with respect to: (1) percentage of trees with no visible infections 14 years post-pruning, (2) Broom Volume Rating (BVR), and (3) rate of BVR increase 14 years postpruning. Vitality/longevity (compared with unpruned trees) was assessed using six indicators: (1) tree survival, (2) the development of severe infections, (3) the development of dead tops, (4) tree-ring width indices, (5) Normalized Difference Vegetation Index (NDVI) from high-resolution multi-spectral imagery, and (6) live-crown ratio (LCR) and increment. Twenty-four percent of the pruned trees remained free of mistletoe 14 years post-pruning. Pruning is most likely to successfully eradicate mistletoe in lightly infected trees (BVR 1 or 2) without infected neighbors. Pruning significantly decreased mean BVR in the pruned versus the unpruned trees. However, the subsequent average rate of intensification (1.3&ndash;1.5 BVR per decade) was not affected, implying that a single pruning provides ~14 years respite in the progression of infection levels. Post-pruning infection intensification was slower on dominant and co-dominants than on intermediate or suppressed trees. The success of mistletoe eradication via pruning and need for follow-up pruning should be evaluated no sooner than 14 years after pruning to allow for the development of detectable brooms. Based on six indicators, foliage from witches brooms contribute little to long-term tree vitality since removal appears to have little effect on resources available for tree growth and maintenance. In the severely pruned trees, tree-ring width was reduced for several years post-pruning, but then compensated with larger ring width in later years. Both NDVI and LCR increment were significantly higher for the pruned trees than the control trees, while the development of severe infections and/or dead tops was significantly (5X and 3X) higher for the controls. If possible, multiple indicators of tree vitality should be evaluated. Pruning can be worthwhile even if all the mistletoe is not removed, because mistletoe intensification is delayed. The impact of removing the brooms seems to be minimal, and post-pruning crowns had greater NDVI values.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.07.014","usgsCitation":"Maffei, H.M., Filip, G.M., Gruelke, N.E., Oblinger, B.W., Margolis, E.Q., and Chadwick, K.L., 2016, Pruning high-value Douglas-fir can reduce dwarf mistletoe severity and increase longevity in central Oregon: Forest Ecology and Management, v. 379, p. 11-19, https://doi.org/10.1016/j.foreco.2016.07.014.","productDescription":"9 p.","startPage":"11","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075721","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2016.07.014","text":"Publisher Index Page"},{"id":326281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"379","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf485b","contributors":{"authors":[{"text":"Maffei, Helen M","contributorId":173539,"corporation":false,"usgs":false,"family":"Maffei","given":"Helen","email":"","middleInitial":"M","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":645024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Filip, Gregory M","contributorId":173540,"corporation":false,"usgs":false,"family":"Filip","given":"Gregory","email":"","middleInitial":"M","affiliations":[{"id":27245,"text":"USDA Forest Service, Pacific Northwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":645025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gruelke, Nancy E","contributorId":173541,"corporation":false,"usgs":false,"family":"Gruelke","given":"Nancy","email":"","middleInitial":"E","affiliations":[{"id":27246,"text":"USDA Forest Service, Western Wildlands Environmental Threat Assessment Center","active":true,"usgs":false}],"preferred":false,"id":645026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oblinger, Brent W","contributorId":173542,"corporation":false,"usgs":false,"family":"Oblinger","given":"Brent","email":"","middleInitial":"W","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":645027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chadwick, Kristen L","contributorId":173543,"corporation":false,"usgs":false,"family":"Chadwick","given":"Kristen","email":"","middleInitial":"L","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":645028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175391,"text":"70175391 - 2016 - Historical dominance of low-severity fire in dry and wet mixed-conifer forest habitats of the endangered terrestrial Jemez Mountains salamander (<i>Plethodon neomexicanus</i>)","interactions":[],"lastModifiedDate":"2016-08-08T16:15:04","indexId":"70175391","displayToPublicDate":"2016-08-08T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Historical dominance of low-severity fire in dry and wet mixed-conifer forest habitats of the endangered terrestrial Jemez Mountains salamander (<i>Plethodon neomexicanus</i>)","docAbstract":"<p>Anthropogenic alteration of ecosystem processes confounds forest management and conservation of rare, declining species. Restoration of forest structure and fire hazard reduction are central goals of forest management policy in the western United States, but restoration priorities and treatments have become increasingly contentious. Numerous studies have documented changes in fire regimes, forest stand structure and species composition following a century of fire exclusion in dry, frequent-fire forests of the western U.S. (e.g., ponderosa pine and dry mixed-conifer). In contrast, wet mixed-conifer forests are thought to have historically burned infrequently with mixed- or high-severity fire&mdash;resulting in reduced impacts from fire exclusion and low restoration need&mdash;but data are limited. In this study we quantified the current forest habitat of the federally endangered, terrestrial Jemez Mountains salamander (Plethodon neomexicanus) and compared it to dendroecological reconstructions of historical habitat (e.g., stand structure and composition), and fire regime parameters along a gradient from upper ponderosa pine to wet mixed-conifer forests. We found that current fire-free intervals in Jemez Mountains salamander habitat (116&ndash;165 years) are significantly longer than historical intervals, even in wet mixed-conifer forests. Historical mean fire intervals ranged from 10 to 42 years along the forest gradient. Low-severity fires were historically dominant across all forest types (92 of 102 fires). Although some mixed- or highseverity fire historically occurred at 67% of the plots over the last four centuries, complete mortality within 1.0 ha plots was rare, and asynchronous within and among sites. Climate was an important driver of temporal variability in fire severity, such that mixed- and high-severity fires were associated with more extreme drought than low-severity fires. Tree density in dry conifer forests historically ranged from open (90 trees/ha) to moderately dense (400 trees/ha), but has doubled on average since fire exclusion. Infill of fire-sensitive tree species has contributed to the conversion of historically dry mixedconifer to wet mixed-conifer forest. We conclude that low-severity fire, which has been absent for over a century, was a critical ecosystem process across the forest gradient in Jemez Mountains salamander habitat, and thus is an important element of ecosystem restoration, resilience, and rare species recovery.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.05.011","usgsCitation":"Margolis, E.Q., and Malevich, S.B., 2016, Historical dominance of low-severity fire in dry and wet mixed-conifer forest habitats of the endangered terrestrial Jemez Mountains salamander (<i>Plethodon neomexicanus</i>): Forest Ecology and Management, v. 375, p. 12-26, https://doi.org/10.1016/j.foreco.2016.05.011.","productDescription":"15 p.","startPage":"12","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071390","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"375","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4857","contributors":{"authors":[{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malevich, Steven B.","contributorId":173544,"corporation":false,"usgs":false,"family":"Malevich","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":645030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168517,"text":"70168517 - 2016 - Model simulations of flood and debris flow timing in steep catchments after wildfire","interactions":[],"lastModifiedDate":"2016-09-28T16:11:59","indexId":"70168517","displayToPublicDate":"2016-08-08T14:45:00","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":"Model simulations of flood and debris flow timing in steep catchments after wildfire","docAbstract":"<p><span>Debris flows are a typical hazard on steep slopes after wildfire, but unlike debris flows that mobilize from landslides, most post-wildfire debris flows are generated from water runoff. The majority of existing debris-flow modeling has focused on landslide-triggered debris flows. In this study we explore the potential for using process-based rainfall-runoff models to simulate the timing of water flow and runoff-generated debris flows in recently burned areas. Two different spatially distributed hydrologic models with differing levels of complexity were used: the full shallow water equations and the kinematic wave approximation. Model parameter values were calibrated in two different watersheds, spanning two orders of magnitude in drainage area. These watersheds were affected by the 2009 Station Fire in the San Gabriel Mountains, CA, USA. Input data for the numerical models were constrained by time series of soil moisture, flow stage, and rainfall collected at field sites, as well as high-resolution lidar-derived digital elevation models. The calibrated parameters were used to model a third watershed in the burn area, and the results show a good match with observed timing of flow peaks. The calibrated roughness parameter (Manning's $n$) was generally higher when using the kinematic wave approximation relative to the shallow water equations, and decreased with increasing spatial scale. The calibrated effective watershed hydraulic conductivity was low for both models, even for storms occurring several months after the fire, suggesting that wildfire-induced changes to soil-water infiltration were retained throughout that time. Overall the two model simulations were quite similar suggesting that a kinematic wave model, which is simpler and more computationally efficient, is a suitable approach for predicting flood and debris flow timing in steep, burned watersheds.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018176","usgsCitation":"Rengers, F.K., McGuire, L., Kean, J.W., Staley, D.M., and Hobley, D., 2016, Model simulations of flood and debris flow timing in steep catchments after wildfire: Water Resources Research, v. 52, no. 8, p. 6041-6061, https://doi.org/10.1002/2015WR018176.","productDescription":"21 p.","startPage":"6041","endPage":"6061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073271","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr018176","text":"Publisher Index Page"},{"id":326243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4859","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":620766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobley, D.E.J","contributorId":167019,"corporation":false,"usgs":false,"family":"Hobley","given":"D.E.J","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":620769,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175160,"text":"70175160 - 2016 - Remote sensing of tamarisk biomass, insect herbivory, and defoliation: Novel methods in the Grand Canyon Region, Arizona","interactions":[],"lastModifiedDate":"2016-08-08T13:19:55","indexId":"70175160","displayToPublicDate":"2016-08-08T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of tamarisk biomass, insect herbivory, and defoliation: Novel methods in the Grand Canyon Region, Arizona","docAbstract":"<p>Tamarisk is an invasive, riparian shrub species in the southwestern USA. The northern tamarisk beetle (Diorhabda carinulata) has been introduced to several states to control tamarisk. We classified tamarisk distribution in the Glen Canyon National Recreation Area, Arizona using a 0.2 m resolution, airborne multispectral data and estimated tamarisk beetle effects (overall accuracy of 86 percent) leading to leaf defoliation in a 49,408 m2 area. We also estimated individual tamarisk tree biomass and their uncertainties using airbonre liday data (100 points/m2). On average, total above ground tamarisk biomass was 8.67 kg/m2 (SD=17.6). The tamarisk beetle defoliation resulted in a mean leaf biomass loss of 0.52 kg/m2 and an equivalent of 25,692 kg across the entire study area. Our defoliated tamarisk map and biomass estimates can help inform restoration treatments to reduce tamarisk. Continued monitoring of tamarisk and tamarisk beetle effects are recommended to understand the currently-unknown eventual equilibrium between the two species and the cascading effects on ecosystem processes.</p>","language":"English","publisher":"ingenta Connect","doi":"10.14358/PERS.82.8.645","usgsCitation":"Sankey, T.T., Sankey, J.B., Horne, R., and Bedford, A., 2016, Remote sensing of tamarisk biomass, insect herbivory, and defoliation: Novel methods in the Grand Canyon Region, Arizona: Photogrammetric Engineering and Remote Sensing, v. 82, no. 8, p. 645-652, https://doi.org/10.14358/PERS.82.8.645.","productDescription":"8 p.","startPage":"645","endPage":"652","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069946","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.82.8.645","text":"Publisher Index Page"},{"id":326234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf485d","contributors":{"authors":[{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":644152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":644151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horne, Rene","contributorId":173299,"corporation":false,"usgs":false,"family":"Horne","given":"Rene","email":"","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":644154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedford, Ashton","contributorId":173298,"corporation":false,"usgs":false,"family":"Bedford","given":"Ashton","email":"","affiliations":[{"id":27207,"text":"NAU and NPS","active":true,"usgs":false}],"preferred":false,"id":644153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175379,"text":"70175379 - 2016 - Highstand shelf fans: The role of buoyancy reversal in the deposition of a new type of shelf sand body","interactions":[],"lastModifiedDate":"2016-11-03T16:25:43","indexId":"70175379","displayToPublicDate":"2016-08-08T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Highstand shelf fans: The role of buoyancy reversal in the deposition of a new type of shelf sand body","docAbstract":"<p>Although sea-level highstands are typically associated with sediment-starved continental shelves, high sea level does not hinder major river floods. Turbidity currents generated by plunging of sediment-laden rivers at the fluvial-marine interface, known as hyperpycnal flows, allow for cross-shelf transport of suspended sand beyond the coastline. Hyperpycnal flows in southern California have deposited six subaqueous fans on the shelf of the northern Santa Barbara Channel in the Holocene. Using eight cores and nine grab samples, we describe the deposits, age, and stratigraphic architecture of two fans in the Santa Barbara Channel. Fan lobes have up to 3 m of relief and are composed of multiple hyperpycnite beds &sim;5 cm to 40 cm thick. Deposit architecture and geometry suggest the hyperpycnal flows became positively buoyant and lifted off the seabed, resulting in well-sorted, structureless, elongate sand lobes. Contrary to conventional sequence stratigraphic models, the presence of these features on the continental shelf suggests that active-margin shelves may locally develop high-quality reservoir sand bodies during sea-level highstands, and that such shelves need not be solely the site of sediment bypass. These deposits may provide a Quaternary analogue to many well-sorted sand bodies in the rock record that are interpreted as turbidites but lack typical Bouma-type features.</p>","language":"English","publisher":"Geological of Society of America","doi":"10.1130/B31438.1","usgsCitation":"Steel, E., Simms, A.R., Warrick, J.A., and Yokoyama, Y., 2016, Highstand shelf fans: The role of buoyancy reversal in the deposition of a new type of shelf sand body: Geological Society of America Bulletin, v. 128, no. 11-12, p. 1717-1724, https://doi.org/10.1130/B31438.1.","productDescription":"8 p.","startPage":"1717","endPage":"1724","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074404","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":326233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4855","contributors":{"authors":[{"text":"Steel, Elisabeth","contributorId":47692,"corporation":false,"usgs":true,"family":"Steel","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":644988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simms, Alexander R.","contributorId":52887,"corporation":false,"usgs":true,"family":"Simms","given":"Alexander","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":644989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":644987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yokoyama, Yusuke","contributorId":173528,"corporation":false,"usgs":false,"family":"Yokoyama","given":"Yusuke","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":644990,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174909,"text":"ofr20161120 - 2016 - A satellite model of Southwestern Willow Flycatcher (<em>Empidonax traillii extimus</em>) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (<em>Diorhabda</em> spp.), southwestern United States","interactions":[],"lastModifiedDate":"2016-08-09T09:18:11","indexId":"ofr20161120","displayToPublicDate":"2016-08-08T13:00:00","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":"2016-1120","title":"A satellite model of Southwestern Willow Flycatcher (<em>Empidonax traillii extimus</em>) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (<em>Diorhabda</em> spp.), southwestern United States","docAbstract":"<h1>Executive Summary</h1>\n<p>The study described in this report represents the first time that a satellite model has been used to identify potential Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>) (hereinafter referred to as &ldquo;flycatcher&rdquo;) breeding habitat rangewide for 2013&ndash;15. Fifty-seven Landsat scenes were required to map the entire range of the flycatcher, encompassing parts of six States and more than 1 billion 30-meter pixels. Predicted flycatcher habitat was summarized in a hierarchical fashion from largest to smallest: regionwide, State, U.S. Fish and Wildlife Service (FWS) management unit, 7.5-minute quadrangle, and critical-habitat reach. The term &ldquo;predicted habitat&rdquo; is used throughout this report to distinguish areas the satellite model predicts as suitable flycatcher habitat from what may actually exist on the ground. A rangewide accuracy assessment was done with 758 territories collected in 2014, and change detection was done with yearly habitat maps to identify how and where habitat changed over time. Additionally, effects of tamarisk leaf beetles (<i>Diorhabda</i> spp.) on flycatcher habitat were summarized for the lower Virgin River from 2010 to 2015, and simulations of how tamarisk leaf beetles may affect flycatcher habitat in the lower Colorado and upper Gila Rivers were done for 2015. Model results indicated that the largest areas of predicted flycatcher habitat at elevations below 1,524 meters were in New Mexico and Arizona, areas followed in descending order by California, Texas, Nevada, Utah, and Colorado. By FWS management unit, the largest area of flycatcher habitat during all 3 years were the Middle Rio Grande (New Mexico), followed by the Upper Gila (Arizona and New Mexico) and Middle Gila/San Pedro (Arizona) management units. The area of predicted flycatcher habitat varied considerably in 7.5-minute quadrangles, ranging from 0 to1,398 hectares (ha). Averaged across 3 years, the top three producing quadrangles were Paraje Well (New Mexico), San Marcial (New Mexico), and San Carlos Reservoir (Arizona). The top three FWS critical-habitat reaches in 2015 were Rio Grande-middle (9,544 ha), San Pedro River (1,779 ha), and Gila River-mid San Carlos (1,356 ha); this ranking did not change in 2013 or 2014. Change detection among years showed a large shift in predicted flycatcher habitat influenced by drought patterns, with California habitat decreasing and New Mexico habitat increasing. An accuracy assessment indicated that 88 percent of territories were correctly classified at a 40 percent probability threshold, with an exponential relationship between territory densities and five probability classes. A spatially explicit analysis indicated that beetles decreased predicted flycatcher habitat 94.2 percent from 2010 to 2015 along the lower Virgin River, with only 5.8 percent persisting. In contrast, beetle simulations indicated that 64.1 percent of habitat will persist along the lower Colorado River and 45 percent will persist along the upper Gila River. This project shows that the satellite model adequately predicts flycatcher habitat rangewide, but it lacks the ability to predict&nbsp;which patches will be occupied in a given year. The next logical step is the development of an occupancy model that ties the habitat predictions of the satellite model to patch occupancy so managers can better allocate their resources for survey and restoration activities. Finally, the methods presented in this report seem well suited for automated mapping applications and cloud-based resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161120","usgsCitation":"Hatten, J.R., 2016, A satellite model of Southwestern Willow Flycatcher (<em>Empidonax traillii extimus</em>) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (<em>Diorhabda</em> spp.), Southwestern United States: U.S. Geological Survey Open-File Report 2016–1120, 88 p., https://dx.doi.org/10.3133/ofr20161120.","productDescription":"vi, 88 p.","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074418","costCenters":[{"id":654,"text":"Western Fisheries Research 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  29.80251790576445\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Western Fisheries Research Center<br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115<br><a href=\"http://wfrc.usgs.gov/\" data-mce-href=\"http://wfrc.usgs.gov/\">http://wfrc.usgs.gov/</a><br></p>","tableOfContents":"<ul>\n<li>Executive Summary</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Results</li>\n<li>Discussion</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendix A. Metadata for Landsat Scenes Used in Regionwide Mapping and Habitat Time Series</li>\n<li>Appendix B. Normalized Difference Vegetation Index (NDVI) Conversions for Landsat 8</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-08","noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57a99f23e4b05e859bdf484f","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643112,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175371,"text":"70175371 - 2016 - Dispersal limitation does not control high elevational distribution of alien plant species in the southern Sierra Nevada, California","interactions":[],"lastModifiedDate":"2016-08-08T11:09:46","indexId":"70175371","displayToPublicDate":"2016-08-08T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal limitation does not control high elevational distribution of alien plant species in the southern Sierra Nevada, California","docAbstract":"<p><span>Patterns of elevational distribution of alien plant species in the southern Sierra Nevada of California were used to test the hypothesis that alien plant species invading high elevations around the world are typically climate generalists capable of growing across a wide elevational range. The Sierra Nevada has been heavily impacted for more than a century and a half, first by heavy grazing up into high elevation meadows, followed by major logging, and finally, by impacts associated with recreational use. The comparative elevational patterns of distribution and growth form were compared for native and alien plant species in the four families (Asteraceae, Brassicaceae, Fabaceae, and Poaceae) that contribute the majority of naturalized aliens in the study area. The distribution of realized climatic niche breadth, as measured by elevational range of occurrence, was virtually identical for alien and native species, with both groups showing a roughly Gaussian distribution peaking with species whose range covers a span of 1500&ndash;1999 m. In contrast to alien species, which only rarely occurred at higher elevations, native species showed a distribution of upper elevation limits peaking at 3000&ndash;3499 m, an elevation that corresponds to the zone of upper montane and subalpine forests. Consistent with a hypothesis of abiotic limitations, only a few alien species have been ecologically successful invaders at subalpine and alpine elevations above 2500 m. The low diversity of aliens able to become established in these habitats is unlikely due to dispersal limitations, given the long history of heavy grazing pressure at high elevations across this region. Instead, this low diversity is hypothesized to be a function of life history traits and multiple abiotic stresses that include extremes of cold air and soil temperature, heavy snowfall, short growing seasons, and low resource availability. These findings have significant implications for resource managers.</span></p>","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.036.0308","usgsCitation":"Rundel, P.W., and Keeley, J.E., 2016, Dispersal limitation does not control high elevational distribution of alien plant species in the southern Sierra Nevada, California: Natural Areas Journal, v. 36, no. 3, p. 277-287, https://doi.org/10.3375/043.036.0308.","productDescription":"11 p.","startPage":"277","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051437","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470676,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.3375/043.036.0308","text":"External Repository"},{"id":326215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","volume":"36","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4853","contributors":{"authors":[{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":644954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":644953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188567,"text":"70188567 - 2016 - Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data","interactions":[],"lastModifiedDate":"2017-08-03T08:41:16","indexId":"70188567","displayToPublicDate":"2016-08-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5426,"text":"Hydrology Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data","docAbstract":"<p><span>The rating curve enables the translation of water depth into stream discharge through a reference cross-section. This study investigates coupling national scale airborne laser scanning (ALS) and acoustic Doppler current profiler (ADCP) bathymetric survey data for generating stream rating curves. A digital terrain model was defined from these data and applied in a physically based 1-D hydraulic model to generate rating curves for a regularly monitored location in northern Sweden. Analysis of the ALS data showed that overestimation of the streambank elevation could be adjusted with a root mean square error (RMSE) block adjustment using a higher accuracy manual topographic survey. The results of our study demonstrate that the rating curve generated from the vertically corrected ALS data combined with ADCP data had lower errors (RMSE = 0.79 m</span><sup>3</sup><span>/s) than the empirical rating curve (RMSE = 1.13 m</span><sup>3</sup><span>/s) when compared to streamflow measurements. We consider these findings encouraging as hydrometric agencies can potentially leverage national-scale ALS and ADCP instrumentation to reduce the cost and effort required for maintaining and establishing rating curves at gauging station sites similar to the Röån River.</span></p>","language":"English","publisher":"IWA","doi":"10.2166/nh.2016.257","usgsCitation":"Norris, L., Kean, J.W., and Lyon, S., 2016, Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data: Hydrology Research, v. 48, no. 4, p. 981-996, https://doi.org/10.2166/nh.2016.257.","productDescription":"16 p.","startPage":"981","endPage":"996","ipdsId":"IP-075690","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470677,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-135572","text":"External Repository"},{"id":342555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9b8","contributors":{"authors":[{"text":"Norris, Lam","contributorId":192981,"corporation":false,"usgs":false,"family":"Norris","given":"Lam","email":"","affiliations":[],"preferred":false,"id":698369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyon, Steve","contributorId":192971,"corporation":false,"usgs":false,"family":"Lyon","given":"Steve","affiliations":[],"preferred":false,"id":698371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175387,"text":"70175387 - 2016 - Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China","interactions":[],"lastModifiedDate":"2018-03-21T13:30:05","indexId":"70175387","displayToPublicDate":"2016-08-08T00:00:00","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":"Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China","docAbstract":"<p><span>Global management of wetlands to suppress greenhouse gas (GHG) emissions, facilitate carbon (C) sequestration, and reduce atmospheric CO</span><sub>2</sub><span><span>&nbsp;</span>concentrations while simultaneously promoting agricultural gains is paramount. However, studies that relate variability in CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span><span>&nbsp;</span>emissions at large spatial scales are limited. We investigated three-year emissions of soil CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span><span>&nbsp;</span>from the primary wetland types of the Liaohe Delta, China, by focusing on a total wetland area of 3287 km</span><sup>2</sup><span>. One percent is<span>&nbsp;</span></span><i>Suaeda salsa</i><span>, 24% is<span>&nbsp;</span></span><i>Phragmites australis</i><span>, and 75% is rice. While<span>&nbsp;</span></span><i>S</i><span>.<span>&nbsp;</span></span><i>salsa</i><span><span>&nbsp;</span>wetlands are under somewhat natural tidal influence,<span>&nbsp;</span></span><i>P</i><span>.<span>&nbsp;</span></span><i>australis</i><span><span>&nbsp;</span>and rice are managed hydrologically for paper and food, respectively. Total C emissions from CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span><span>&nbsp;</span>from these wetland soils were 2.9 Tg C/year, ranging from 2.5 to 3.3 Tg C/year depending on the year assessed. Primary emissions were from CO</span><sub>2</sub><span><span>&nbsp;</span>(~98%). Photosynthetic uptake of CO</span><sub>2</sub><span><span>&nbsp;</span>would mitigate most of the soil CO</span><sub>2</sub><span><span>&nbsp;</span>emissions, but CH</span><sub>4</sub><span><span>&nbsp;</span>emissions would persist. Overall, CH</span><sub>4</sub><span><span>&nbsp;</span>fluxes were high when soil temperatures were &gt;18°C and pore water salinity &lt;18 PSU. CH</span><sub>4</sub><span><span>&nbsp;</span>emissions from rice habitat alone in the Liaohe Delta represent 0.2% of CH</span><sub>4</sub><span><span>&nbsp;</span>carbon emissions globally from rice. With such a large area and interannual sensitivity in soil GHG fluxes, management practices in the Delta and similar wetlands around the world have the potential not only to influence local C budgeting, but also to influence global biogeochemical cycling.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0160612","usgsCitation":"Ye, S., Krauss, K.W., Brix, H., Wei, M., Olsson, L., Yu, X., Ma, Y., Wang, J., Yuan, H., Zhao, G., Ding, X., and Moss, R., 2016, Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China: PLoS ONE, v. 11, no. 8, Article e0160612; 20 p., https://doi.org/10.1371/journal.pone.0160612.","productDescription":"Article e0160612; 20 p.","ipdsId":"IP-072645","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0160612","text":"Publisher Index Page"},{"id":338190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Liaohe Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              121.17,\n              40.33\n            ],\n            [\n              122.5,\n              40.33\n            ],\n            [\n             122.5,\n              41.33\n            ],\n            [\n              121.17,\n              41.33\n            ],\n            [\n              121.17,\n              40.33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"58d4df03e4b05ec79911d1a6","contributors":{"authors":[{"text":"Ye, Siyuan","contributorId":146732,"corporation":false,"usgs":false,"family":"Ye","given":"Siyuan","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":645010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research 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Denmark","active":true,"usgs":false}],"preferred":false,"id":645013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, Xueyang","contributorId":146733,"corporation":false,"usgs":false,"family":"Yu","given":"Xueyang","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":645014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ma, Yueying","contributorId":173533,"corporation":false,"usgs":false,"family":"Ma","given":"Yueying","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Jin","contributorId":189743,"corporation":false,"usgs":false,"family":"Wang","given":"Jin","email":"","affiliations":[],"preferred":false,"id":645016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Hongming","contributorId":173534,"corporation":false,"usgs":false,"family":"Yuan","given":"Hongming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhao, Guangming","contributorId":173535,"corporation":false,"usgs":false,"family":"Zhao","given":"Guangming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ding, Xigui","contributorId":173536,"corporation":false,"usgs":false,"family":"Ding","given":"Xigui","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moss, Rebecca 0000-0002-7599-9758 mossr@usgs.gov","orcid":"https://orcid.org/0000-0002-7599-9758","contributorId":169722,"corporation":false,"usgs":true,"family":"Moss","given":"Rebecca","email":"mossr@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645020,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70175734,"text":"70175734 - 2016 - Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","interactions":[],"lastModifiedDate":"2016-08-31T11:05:08","indexId":"70175734","displayToPublicDate":"2016-08-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","docAbstract":"<p>The epikarst, which consists of highly weathered rock in the upper vadose zone of exposed karst systems, plays a critical role in determining the hydrologic and geochemical characteristics of recharge to an underlying karst aquifer. This study utilized time series (2007&ndash;2014) of hydrologic and geochemical data of drip water collected within James Cave, Virginia, to examine the influence of epikarst on the quantity and quality of recharge in a mature, doline-dominated karst terrain. Results show a strong seasonality of both hydrology and geochemistry of recharge, which has implications for management of karst aquifers in temperate climatic zones. First, recharge (discharge from the epikarst to the underlying aquifer) reaches a maximum between late winter and early spring, with the onset of the recharge season ranging from as early as December to as late as March during the study period. The timing and duration of the recharge season were found to be a function of precipitation in excess of evapotranspiration on a seasonal time scale. Secondly, seasonally variable residence times for water in the epikarst influence rock-water interaction and, hence, the geochemical characteristics of recharge. Overall, results highlight the strong and complex influence that the epikarst has on karst recharge, which requires long-term and high-resolution data sets to accurately understand and quantify.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2516(15)​","usgsCitation":"Eagle, S.D., Orndorff, W., Schwartz, B.F., Doctor, D.H., Gerst, J.D., and Schreiber, M.E., 2016, Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers: Geological Society of America Special Papers , v. 516, p. 181-196, https://doi.org/10.1130/2015.2516(15)​.","productDescription":"16 p.","startPage":"181","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061917","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326851,"type":{"id":15,"text":"Index Page"},"url":"https://specialpapers.gsapubs.org/content/516/181"}],"country":"United States","state":"Virginia","otherGeospatial":"James Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.87654113769531,\n              37.11707372086296\n            ],\n            [\n              -80.67260742187499,\n              37.2133783531779\n            ],\n            [\n              -80.61698913574219,\n              37.228141500433615\n            ],\n            [\n              -80.59776306152344,\n              37.18821967018367\n            ],\n            [\n           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F.","contributorId":150744,"corporation":false,"usgs":false,"family":"Schwartz","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[{"id":18087,"text":"Texas State University, San Marcos","active":true,"usgs":false}],"preferred":false,"id":646237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","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":646234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerst, Jonathan D.","contributorId":150747,"corporation":false,"usgs":false,"family":"Gerst","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":646238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":646239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70207061,"text":"70207061 - 2016 - To manage inland fisheries is to manage at the social-ecological watershed scale","interactions":[],"lastModifiedDate":"2019-12-04T16:09:25","indexId":"70207061","displayToPublicDate":"2016-08-05T16:01:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"To manage inland fisheries is to manage at the social-ecological watershed scale","docAbstract":"<p><span>Approaches to managing inland&nbsp;fisheries&nbsp;vary between systems and regions but are often based on large-scale&nbsp;marine fisheries&nbsp;principles and thus limited and outdated. Rarely do they adopt&nbsp;holistic approaches&nbsp;that consider the complex&nbsp;</span>interplay<span>&nbsp;among humans, fish, and the environment. We argue that there is an urgent need for a shift in&nbsp;inland fisheries&nbsp;management towards holistic and transdisciplinary approaches that embrace the principles of&nbsp;social-ecological systems&nbsp;at the watershed scale. The interconnectedness of inland fisheries with their associated watershed (biotic, abiotic, and humans) make them extremely complex and challenging to manage and protect. For this reason, the watershed is a logical management unit. To assist management at this scale, we propose a framework that integrates disparate concepts and management paradigms to facilitate inland fisheries management and sustainability. We contend that inland fisheries need to be managed as social-ecological watershed system (SEWS). The framework supports watershed-scale and transboundary governance to manage inland fisheries, and transdisciplinary projects and teams to ensure relevant and applicable monitoring and research. We discuss concepts of social-ecological feedback and interactions of multiple stressors and factors within/between the social-ecological systems. Moreover, we emphasize that management, monitoring, and research on inland fisheries at the watershed scale are needed to ensure long-term sustainable and resilient fisheries.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.045","usgsCitation":"Nguyen, V.T., Lynch, A., Young, N., Cowx, I.G., Beard, T., Taylor, W., and Cooke, S., 2016, To manage inland fisheries is to manage at the social-ecological watershed scale: Journal of Environmental Management, v. 181, p. 312-325, https://doi.org/10.1016/j.jenvman.2016.06.045.","productDescription":"14 p.","startPage":"312","endPage":"325","ipdsId":"IP-068004","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":369925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nguyen, Vivian T. vnguyen@usgs.gov","contributorId":5490,"corporation":false,"usgs":true,"family":"Nguyen","given":"Vivian","email":"vnguyen@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":776689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Nathan","contributorId":215062,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":776691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":776692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":776693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":776694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":776695,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70175154,"text":"ofr20161125 - 2016 - Effects of climate change on tidal marshes along a latitudinal gradient in California","interactions":[],"lastModifiedDate":"2017-07-19T15:20:47","indexId":"ofr20161125","displayToPublicDate":"2016-08-05T14:00:00","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":"2016-1125","title":"Effects of climate change on tidal marshes along a latitudinal gradient in California","docAbstract":"<h1>Public Summary</h1><p>The coastal region of California supports a wealth of ecosystem services including habitat provision for wildlife and fisheries. Tidal marshes, mudflats, and shallow bays within coastal estuaries link marine, freshwater and terrestrial habitats, and provide economic and recreational benefits to local communities. Climate change effects such as sea-level rise (SLR) are altering these habitats, but we know little about how these areas will change over the next 50–100 years. Our study examined the projected effects of three recent SLR scenarios produced for the West Coast of North America on tidal marshes in California. We compiled physical and biological data, including coastal topography, tidal inundation, plant composition, and sediment accretion to project how SLR may alter these ecosystems in the future. The goal of our research was to provide results that support coastal management and conservation efforts across California. Under a low SLR scenario, all study sites remained vegetated tidal wetlands, with most sites showing little elevation and vegetation change relative to sea level. At most sites, mid SLR projections led to increases in low marsh habitat at the expense of middle and high marsh habitat. Marshes at Morro Bay and Tijuana River Estuary were the most vulnerable to mid SLR with many areas becoming intertidal mudflat. Under a high SLR scenario, most sites were projected to lose vegetated habitat, eventually converting to intertidal mudflats. Our results suggest that California marshes are vulnerable to major habitat shifts under mid or high rates of SLR, especially in the latter part of the century. Loss of vegetated tidal marshes in California due to SLR is expected to impact ecosystem services that are dependent on coastal wetlands such as wildlife habitat, carbon sequestration, improved water quality, and coastal protection from storms.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161125","collaboration":"Prepared in cooperation with the Southwest Climate Science Center","usgsCitation":"Thorne, K.M., MacDonald, G.M., Ambrose, R.F., Buffington, K.J., Freeman, C.M., Janousek, C.N., Brown, L.N., Holmquist, J.R., Guntenspergen, G.R., Powelson, K.W., Barnard, P.L., and Takekawa, J.Y., 2016, Effects of climate change on tidal marshes along a latitudinal gradient in California: U.S. Geological Survey Open-File Report 2016-1125, 75 p., https://dx.doi.org/10.3133/ofr20161125.","productDescription":"Report: viii, 75 p.; Appendixes","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075871","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":326133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1125/coverthb.jpg"},{"id":326134,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1125/ofr20161125.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1125 Report PDF"},{"id":326135,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1125/ofr20161125_appendixes.pdf","text":"Appendixes","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1125 Appendixes PDF"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.91455078125,\n              40.94671366508002\n            ],\n            [\n              -122.51953124999999,\n              35.99578538642032\n            ],\n            [\n              -120.52001953124999,\n              33.61461929233378\n            ],\n            [\n              -117.92724609375,\n              32.41706632846282\n            ],\n            [\n              -116.05957031249999,\n              32.657875736955305\n            ],\n            [\n              -118.65234374999999,\n              34.63320791137959\n            ],\n            [\n              -120.65185546875,\n              36.58024660149866\n            ],\n            [\n              -122.98095703125,\n              41.0130657870063\n            ],\n            [\n              -124.91455078125,\n              40.94671366508002\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Western Ecological Research Center<br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819<br><a href=\"http://www.werc.usgs.gov/\" data-mce-href=\"http://www.werc.usgs.gov/\">http://www.werc.usgs.gov/</a><br></p>","tableOfContents":"<ul>\n<li>Section 1&mdash;Public Summary</li>\n<li>Section 2&mdash;Technical Summary</li>\n<li>Section 3&mdash;Purpose and Objectives</li>\n<li>Section 4&mdash;Organization and Approach</li>\n<li>Section 5&mdash;Project Results</li>\n<li>Section 6&mdash;Analysis and Findings</li>\n<li>Section 7&mdash;Conclusions and Recommendations</li>\n<li>Section 8&mdash;Outreach&nbsp;</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendixes. Detailed Site-Specific Results</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-08-05","noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57a5aaa0e4b0ebae89b6db09","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":644118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":644119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ambrose, Rich F.","contributorId":173460,"corporation":false,"usgs":true,"family":"Ambrose","given":"Rich","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":644126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":644121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Chase M.","contributorId":149925,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase M.","affiliations":[],"preferred":false,"id":644122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":644123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Lauren N.","contributorId":173461,"corporation":false,"usgs":false,"family":"Brown","given":"Lauren","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":644130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmquist, James R.","contributorId":173462,"corporation":false,"usgs":false,"family":"Holmquist","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":644131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":644125,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powelson, Katherine W.","contributorId":149927,"corporation":false,"usgs":true,"family":"Powelson","given":"Katherine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":644124,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":644128,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":644120,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70175401,"text":"70175401 - 2016 - Early life history and spatiotemporal changes in distribution of the rediscovered Suwannee moccasinshell <i>Medionidus walkeri</i> (Bivalvia: Unionidae)","interactions":[],"lastModifiedDate":"2017-10-12T10:19:56","indexId":"70175401","displayToPublicDate":"2016-08-05T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Early life history and spatiotemporal changes in distribution of the rediscovered Suwannee moccasinshell <i>Medionidus walkeri</i> (Bivalvia: Unionidae)","docAbstract":"<p><span>Accurate distribution data are critical to the development of conservation and management strategies for imperiled species, particularly for narrow endemics with life history traits that make them vulnerable to extinction.&nbsp;</span><i>Medionidus walkeri</i><span>&nbsp;is a rare freshwater mussel endemic to the Suwannee River Basin in southeastern North America. This species was rediscovered in 2012 after a 16-year hiatus between collections and is currently proposed for listing under the Endangered Species Act. Our study fills knowledge gaps regarding changes in distribution and early life history requirements of&nbsp;</span><i>M</i><span>.&nbsp;</span><i>walkeri</i><span>. Spatiotemporal changes in&nbsp;</span><i>M. walkeri</i><span>&nbsp;distribution were displayed using a conservation status assessment map incorporating metadata from 98 historical (1916–1999) and 401 recent (2000–2015) site surveys from museums and field notes representing records for 312 specimens. Recent surveys detected&nbsp;</span><i>M</i><span>.&nbsp;</span><i>walkeri</i><span>&nbsp;only in the middle Suwannee subbasin (n = 86, 22 locations) and lower Santa Fe subbasin (n = 2, 2 locations), and it appears the species may be extirpated from 67% of historically occupied 10-digit HUCs. In our laboratory experiments,&nbsp;</span><i>M</i><span>.&nbsp;</span><i>walkeri</i><span>&nbsp;successfully metamorphosed on&nbsp;</span><i>Percina nigrofasciata</i><span>&nbsp;(56.2% ± 8.9) and&nbsp;</span><i>Etheostoma edwini</i><span>&nbsp;(16.1% ± 7.9) but not on&nbsp;</span><i>Trinectes maculatus</i><span>,&nbsp;</span><i>Lepomis marginatus</i><span>,&nbsp;</span><i>Notropis texanus</i><span>,&nbsp;</span><i>Noturus leptacanthus</i><span>,&nbsp;</span><i>Etheostoma fusiforme</i><span>, or&nbsp;</span><i>Gambusia holbrooki</i><span>. We characterize&nbsp;</span><i>M</i><span>.&nbsp;</span><i>walkeri</i><span>&nbsp;as a lure-displaying host fish specialist and a long-term brooder (bradytictic), gravid from fall to early summer of the following year. The early life history and distribution data presented here provide the baseline framework for listing decisions and future efforts to conserve and recover the species.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00752","usgsCitation":"Johnson, N.A., Mcleod, J., Holcomb, J., Rowe, M.T., and Williams, J.D., 2016, Early life history and spatiotemporal changes in distribution of the rediscovered Suwannee moccasinshell <i>Medionidus walkeri</i> (Bivalvia: Unionidae): Endangered Species Research, v. 31, p. 163-175, https://doi.org/10.3354/esr00752.","productDescription":"13 p.","startPage":"163","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074053","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00752","text":"Publisher Index Page"},{"id":326300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aaff09e4b05e859be0f1f6","contributors":{"authors":[{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":645067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mcleod, John 0000-0001-7962-7989 jmmcleod@usgs.gov","orcid":"https://orcid.org/0000-0001-7962-7989","contributorId":173552,"corporation":false,"usgs":true,"family":"Mcleod","given":"John","email":"jmmcleod@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holcomb, Jordan","contributorId":173553,"corporation":false,"usgs":false,"family":"Holcomb","given":"Jordan","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":645069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowe, Matthew T.","contributorId":150928,"corporation":false,"usgs":false,"family":"Rowe","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":645070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":645071,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175165,"text":"fs20163057 - 2016 - The Missouri River <i>Scaphirhynchus albus</i> (pallid sturgeon) effects analysis","interactions":[],"lastModifiedDate":"2016-08-05T11:19:11","indexId":"fs20163057","displayToPublicDate":"2016-08-05T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3057","title":"The Missouri River <i>Scaphirhynchus albus</i> (pallid sturgeon) effects analysis","docAbstract":"<p>The Missouri River Pallid Sturgeon Effects Analysis (EA) was designed to assess how Missouri River management has affected—and may affect—the endangered <i>Scaphirhynchus albus</i> (pallid sturgeon) population. The EA emerged from the recognition that the direction and focus of the Missouri River Recovery Program would benefit from an updated, thorough evaluation of what is known, what is not known, and what needs to be known for effective actions. This fact sheet documents the steps in the EA process and the four core reports, culminating in the 2016 integrative report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163057","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Jacobson, R.B., 2016, The Missouri River <i>Scaphirhynchus albus</i> (pallid sturgeon) effects analysis: U.S. Geological Survey Fact Sheet 2016–3057, 4 p., https://dx.doi.org/10.3133/fs20163057.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077708","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":326008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3057/fs20163057.pdf","text":"Report","size":"1.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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,{"id":70176262,"text":"70176262 - 2016 - Cross-seasonal effects on waterfowl productivity: Implications under climate change","interactions":[],"lastModifiedDate":"2016-09-07T12:21:17","indexId":"70176262","displayToPublicDate":"2016-08-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Cross-seasonal effects on waterfowl productivity: Implications under climate change","docAbstract":"<p>Previous efforts to relate winter-ground precipitation to subsequent reproductive success as measured by the ratio of juveniles to adults in the autumn failed to account for increased vulnerability of juvenile ducks to hunting and uncertainty in the estimated age ratio. Neglecting increased juvenile vulnerability will positively bias the mean productivity estimate, and neglecting increased vulnerability and estimation uncertainty will positively bias the year-to-year variance in productivity because raw age ratios are the product of sampling variation, the year-specific vulnerability, and year-specific reproductive success. Therefore, we estimated the effects of cumulative winter precipitation in the California Central Valley and the Mississippi Alluvial Valley on pintail (<i>Anas acuta</i>) and mallard (<i>Anas platyrhnchos</i>) reproduction, respectively, using hierarchical Bayesian methods to correct for sampling bias in productivity estimates and observation error in covariates. We applied the model to a hunter-collected parts survey implemented by the United States Fish and Wildlife Service and band recoveries reported to the United States Geological Survey Bird Banding Laboratory using data from 1961 to 2013. We compared our results to previous estimates that used simple linear regression on uncorrected age ratios from a smaller subset of years in pintail (1961–1985). Like previous analyses, we found large and consistent effects of population size and wetland conditions in prairie Canada on mallard productivity, and large effects of population size and mean latitude of the observed breeding population on pintail productivity. Unlike previous analyses, we report a large amount of uncertainty in the estimated effects of wintering-ground precipitation on pintail and mallard productivity, with considerable uncertainty in the sign of the estimated main effect, although the posterior medians of precipitation effects were consistent with past studies. We found more consistent estimates in the sign of an interaction effect between population size and precipitation, suggesting that wintering-ground precipitation has a larger effect in years of high population size, especially for pintail. When we used the estimated effects in a population model to derive a sustainable harvest and population size projection (i.e., a yield curve), there was considerable uncertainty in the effect of increased or decreased wintering-ground precipitation on sustainable harvest potential and population size. These results suggest that the mechanism of cross-seasonal effects between winter habitat and reproduction in ducks occurs through a reduction in the strength of density dependence in years of above-average wintering-ground precipitation. We suggest additional investigation of the underlying mechanisms and that habitat managers and decision-makers consider the level of uncertainty in these estimates when attempting to integrate habitat management and harvest management decisions. Collection of annual data on the status of wintering-ground habitat in a rigorous sampling framework would likely be the most direct way to improve understanding of mechanisms and inform management. </p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21124","usgsCitation":"Osnas, E.E., Zhao, Q., Runge, M.C., and Boomer, G., 2016, Cross-seasonal effects on waterfowl productivity: Implications under climate change: Journal of Wildlife Management, v. 80, no. 7, p. 1227-1241, https://doi.org/10.1002/jwmg.21124.","productDescription":"15 p.","startPage":"1227","endPage":"1241","ipdsId":"IP-070276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57d13a39e4b0571647cf8db5","contributors":{"authors":[{"text":"Osnas, Erik E. 0000-0001-9528-0866 eosnas@usgs.gov","orcid":"https://orcid.org/0000-0001-9528-0866","contributorId":5586,"corporation":false,"usgs":true,"family":"Osnas","given":"Erik","email":"eosnas@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Qing","contributorId":174370,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":648121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, G Scott","contributorId":172150,"corporation":false,"usgs":false,"family":"Boomer","given":"G Scott","affiliations":[{"id":26994,"text":"Div. of Migratory Bird Management, U.S. Fish and Wildlife Service, MD","active":true,"usgs":false}],"preferred":false,"id":648122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174015,"text":"ds1006 - 2016 - Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015","interactions":[],"lastModifiedDate":"2025-05-13T16:47:43.892357","indexId":"ds1006","displayToPublicDate":"2016-08-04T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1006","title":"Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015","docAbstract":"<p>Scientists from the United States Geological Survey, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey Pacific Coastal and Marine Science Center, and students from the University of Hawaii at Manoa collected sediment cores, sediment surface grab samples, ground-penetrating radar (GPR) and Differential Global Positioning System (DGPS) data from within the Edwin B. Forsythe National Wildlife Refuge–Holgate Unit located on the southern end of Long Beach Island, New Jersey, in April 2015 (<a href=\"http://cmgds.marine.usgs.gov/fan_info.php?fan=2015-611-FA\" data-mce-href=\"http://cmgds.marine.usgs.gov/fan_info.php?fan=2015-611-FA\">FAN 2015-611-FA</a>). The study’s objective was to identify washover deposits in the stratigraphic record to aid in understanding barrier island evolution. This report is an archive of GPR and DGPS data collected from Long Beach Island in 2015. Data products, including raw GPR and processed DGPS data, elevation corrected GPR profiles, and accompanying Federal Geographic Data Committee metadata can be downloaded from the Data Downloads page.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1006","usgsCitation":"Zaremba, N.J., Smith, K.E.L., Bishop, J.M., and Smith, C.G., 2016, Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015: U.S. Geological Survey Data Series 1006, https://dx.doi.org/10.3133/ds1006.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073028","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325529,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":325528,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/1006/index.html"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.18243408203125,\n              39.7789912112384\n            ],\n            [\n              -74.959716796875,\n              39.036252959636606\n            ],\n            [\n              -75.0091552734375,\n              38.91881851059804\n            ],\n            [\n              -74.79766845703125,\n              38.905995699991145\n            ],\n            [\n              -74.68231201171875,\n              39.10875135935859\n            ],\n            [\n              -74.54498291015625,\n              39.26203141523749\n            ],\n            [\n              -74.2840576171875,\n              39.459523110465156\n            ],\n            [\n              -74.03411865234375,\n              39.96870074491696\n            ],\n            [\n              -74.18243408203125,\n              39.7789912112384\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, St. Petersburg Coastal and Marine Science Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> (727) 502–8000<br> <a href=\"http://coastal.er.usgs.gov\" data-mce-href=\"http://coastal.er.usgs.gov\">http://coastal.er.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Aquisition</li><li>Data Processing</li><li>Data</li><li>Abbreviations</li><li>References Cited</li><li>Acknowledgments</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-08-04","noUsgsAuthors":false,"publicationDate":"2016-08-04","publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d846743c","contributors":{"authors":[{"text":"Zaremba, Nicholas J. nzaremba@usgs.gov","contributorId":172356,"corporation":false,"usgs":true,"family":"Zaremba","given":"Nicholas","email":"nzaremba@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":640435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Kathryn E.L. kelsmith@usgs.gov","contributorId":139023,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":640436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, James M. jmbishop@usgs.gov","contributorId":172357,"corporation":false,"usgs":true,"family":"Bishop","given":"James","email":"jmbishop@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":640437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":640438,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175312,"text":"70175312 - 2016 - Broken connections of wetland cultural knowledge","interactions":[],"lastModifiedDate":"2016-08-04T14:55:11","indexId":"70175312","displayToPublicDate":"2016-08-04T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5075,"text":"Ecosystem Health and Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Broken connections of wetland cultural knowledge","docAbstract":"<p>As global agriculture intensifies, cultural knowledge of wetland utilization has eroded as natural resources become more stressed, and marginal farmers move away from the land. The excellent paper by Fawzi et al. (2016) documents a particularly poignant case of traditional knowledge loss among the Marsh Arab women of Iraq. Through interviews, the authors document the breakdown of skill transfer from the older to younger generation of women. The authors link the loss of their cultural knowledge with the loss of wetlands in the region. Women no longer can help provide for their families using wetland products, and along with that, their ancient knowledge of plant usage is lost. These ancient skills included medicinal uses, and reed harvesting for weaving and water buffalo fodder. As, the majority of the Mesopotamian Marshes have dried, this way of life is being forgotten (Fawzi et al. 2015). The global tragedy is that while the careful alliance of wetlands and people have sustained human cultures for millennia, degraded wetlands lose their ability to provide these services (Maltby 1980).</p>","largerWorkTitle":"Ecosystem Health and Sustainability","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ehs2.1223","usgsCitation":"Middleton, B.A., 2016, Broken connections of wetland cultural knowledge: Ecosystem Health and Sustainability, v. 2, no. 7, e01223; 2 p., https://doi.org/10.1002/ehs2.1223.","productDescription":"e01223; 2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074554","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ehs2.1223","text":"Publisher Index Page"},{"id":326115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d846743a","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":644752,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175476,"text":"70175476 - 2016 - Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2018-04-24T13:42:14","indexId":"70175476","displayToPublicDate":"2016-08-04T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA","docAbstract":"<p>We developed Columbia River streamflow reconstructions using a network of existing, new, and updated tree-ring records sensitive to the main climatic factors governing discharge. Reconstruction quality is enhanced by incorporating tree-ring chronologies where high snowpack limits growth, which better represent the contribution of cool-season precipitation to flow than chronologies from trees positively sensitive to hydroclimate alone. The best performing reconstruction (back to 1609 CE) explains 59% of the historical variability and the longest reconstruction (back to 1502 CE) explains 52% of the variability. Droughts similar to the high-intensity, long-duration low flows observed during the 1920s and 1940s are rare, but occurred in the early 1500s and 1630s-1640s. The lowest Columbia flow events appear to be reflected in chronologies both positively and negatively related to streamflow, implying low snowpack and possibly low warm-season precipitation. High flows of magnitudes observed in the instrumental record appear to have been relatively common, and high flows from the 1680s to 1740s exceeded the magnitude and duration of observed wet periods in the late-19th and 20th Century. Comparisons between the Columbia River reconstructions and future projections of streamflow derived from global climate and hydrologic models show the potential for increased hydrologic variability, which could present challenges for managing water in the face of competing demands</p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12442","usgsCitation":"Littell, J.S., Pederson, G.T., Gray, S., Tjoelker, M., Hamlet, A.F., and Woodhouse, C.A., 2016, Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA: JAWRA, v. 52, no. 5, p. 1121-1141, https://doi.org/10.1111/1752-1688.12442.","productDescription":"21 p.","startPage":"1121","endPage":"1141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063792","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science 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Michael","contributorId":173658,"corporation":false,"usgs":false,"family":"Tjoelker","given":"Michael","email":"","affiliations":[{"id":13194,"text":"School of Environmental and Forest Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":645381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamlet, Alan F.","contributorId":15529,"corporation":false,"usgs":true,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":645382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":645383,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173845,"text":"sir20165081 - 2016 - Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013","interactions":[],"lastModifiedDate":"2016-08-04T16:13:43","indexId":"sir20165081","displayToPublicDate":"2016-08-04T13:00:00","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":"2016-5081","title":"Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013","docAbstract":"<p>In 2013, the U.S. Geological Survey initiated a study to update regional skew, annual exceedance probability discharges, and regional regression equations used to estimate annual exceedance probability discharges for ungaged locations on streams in the study area with the use of recent geospatial data, new analytical methods, and available annual peak-discharge data through the 2013 water year. An analysis of regional skew using Bayesian weighted least-squares/Bayesian generalized-least squares regression was performed for Arkansas, Louisiana, and parts of Missouri and Oklahoma. The newly developed constant regional skew of -0.17 was used in the computation of annual exceedance probability discharges for 281 streamgages used in the regional regression analysis. Based on analysis of covariance, four flood regions were identified for use in the generation of regional regression models. Thirty-nine basin characteristics were considered as potential explanatory variables, and ordinary least-squares regression techniques were used to determine the optimum combinations of basin characteristics for each of the four regions. Basin characteristics in candidate models were evaluated based on multicollinearity with other basin characteristics (variance inflation factor &lt; 2.5) and statistical significance at the 95-percent confidence level (<i>p</i> ≤ 0.05). Generalized least-squares regression was used to develop the final regression models for each flood region. Average standard errors of prediction of the generalized least-squares models ranged from 32.76 to 59.53 percent, with the largest range in flood region D. Pseudo coefficients of determination of the generalized least-squares models ranged from 90.29 to 97.28 percent, with the largest range also in flood region D. The regional regression equations apply only to locations on streams in Arkansas where annual peak discharges are not substantially affected by regulation, diversion, channelization, backwater, or urbanization. The applicability and accuracy of the regional regression equations depend on the basin characteristics measured for an ungaged location on a stream being within range of those used to develop the equations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165081","collaboration":"Prepared in cooperation with the Arkansas State Highway and Transportation Department and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Wagner, D.M., Krieger, J.D., and Veilleux, A.G., 2016, Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013: U.S. Geological Survey Scientific Investigations Report 2016–5081, 136 p., https://dx.doi.org/10.3133/sir20165081.","productDescription":"Report: ix, 136 p.; Appendix Tables","numberOfPages":"149","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070399","costCenters":[{"id":24708,"text":"Lower 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 \"}}]}","contact":"<p><a href=\"mailto:gs-w-lmg_center_director@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director</a>, Lower Mississippi-Gulf Water Science Center<br>U.S. Geological Survey<br>401 Hardin Road<br>Little Rock, Arkansas 72211–3528<br><a href=\"http://ar.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://ar.water.usgs.gov/\">http://ar.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Estimating Annual Exceedance Probability Discharges for Streams in Arkansas</li>\n<li>Accuracy and Limitations of Regression Equations</li>\n<li>Applications of Regional Regression Equations</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendixes 1-3</li>\n</ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-08-04","noUsgsAuthors":false,"publicationDate":"2016-08-04","publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d846743e","contributors":{"authors":[{"text":"Wagner, Daniel M. 0000-0002-0432-450X dwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-0432-450X","contributorId":4531,"corporation":false,"usgs":true,"family":"Wagner","given":"Daniel","email":"dwagner@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krieger, Joshua D.","contributorId":43667,"corporation":false,"usgs":true,"family":"Krieger","given":"Joshua","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":638656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175291,"text":"70175291 - 2016 - Predation on Pacific salmonid eggs and carcass's by subyearling Atlantic salmon in a tributary of Lake Ontario","interactions":[],"lastModifiedDate":"2016-08-10T11:30:24","indexId":"70175291","displayToPublicDate":"2016-08-04T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Predation on Pacific salmonid eggs and carcass's by subyearling Atlantic salmon in a tributary of Lake Ontario","docAbstract":"<p>A binational effort to reintroduce Atlantic salmon (<i>Salmo salar</i>) that were extirpated in the Lake Ontario ecosystem for over a century is currently being undertaken by the New York State Department of Environmental Conservation and the Ontario Ministry of Natural Resources. Reintroduction actions include the release of several life stages including fry, fall fingerlings, and yearling smolts. In this study we describe the diet of recently released fall fingerling Atlantic salmon in a tributary of the Salmon River, New York. A specific objective of the study was to determine if juvenile Atlantic salmon would utilize the high caloric food source provided by introduced Pacific salmonids (<i>Oncorhynchus spp</i>.) that includes eggs and carcass flesh. Salmon eggs and carcass flesh comprised 20.5% of the October to January diet in 2013&ndash;14 and 23.9% in 2014&ndash;15. The consumption of steelhead (<i>O. mykiss</i>) eggs was a major part of the diet in April in both 2014 (54.1%) and 2015 (33.2%). This study documented that recently released Atlantic salmon will consume the high caloric food material provided by Pacific salmonids and that the consumption of this material extends for several months.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Oxford, UK","doi":"10.1016/j.jglr.2015.12.004","usgsCitation":"Johnson, J.H., Chalupnicki, M.A., Abbett, R., and Verdoliva, F., 2016, Predation on Pacific salmonid eggs and carcass's by subyearling Atlantic salmon in a tributary of Lake Ontario: Journal of Great Lakes Research, v. 42, no. 2, p. 472-475, https://doi.org/10.1016/j.jglr.2015.12.004.","productDescription":"4 p.","startPage":"472","endPage":"475","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071228","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","county":"Oswego","otherGeospatial":"Beaver Dam Brook","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.9985899925232,\n              43.50854982248691\n            ],\n            [\n              -75.9985899925232,\n              43.50953026091664\n            ],\n            [\n              -75.99346160888672,\n              43.50953026091664\n            ],\n            [\n              -75.99346160888672,\n              43.50854982248691\n            ],\n            [\n              -75.9985899925232,\n              43.50854982248691\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d8467440","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":644722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdoliva, Francis","contributorId":150381,"corporation":false,"usgs":false,"family":"Verdoliva","given":"Francis","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":644724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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