This report describes studies of juvenile-salmon dam passage and apparent survival at Cougar Dam, Oregon, during two operating conditions in 2012. Cougar Dam is a 158-meter tall rock-fill dam used primarily for flood control, and passes water through a temperature control tower to either a powerhouse penstock or to a regulating outlet (RO). The temperature control tower has moveable weir gates to enable water of different elevations and temperatures to be drawn through the dam to control water temperatures downstream. A series of studies of downstream dam passage of juvenile salmonids were begun after the National Oceanic and Atmospheric Administration determined that Cougar Dam was impacting the viability of anadromous fish stocks. The primary objectives of the studies described in this report were to estimate the route-specific fish passage probabilities at the dam and to estimate the survival probabilities of fish passing through the RO. The first set of dam operating conditions, studied in November, consisted of (1) a mean reservoir elevation of 1,589 feet, (2) water entering the temperature control tower through the weir gates, (3) most water routed through the turbines during the day and through the RO during the night, and (4) mean RO gate openings of 1.2 feet during the day and 3.2 feet during the night. The second set of dam operating conditions, studied in December, consisted of (1) a mean reservoir elevation of 1,507 ft, (2) water entering the temperature control tower through the RO bypass, (3) all water passing through the RO, and (4) mean RO gate openings of 7.3 feet during the day and 7.5 feet during the night. The studies were based on juvenile Chinook salmon (Oncorhynchus tshawytscha) surgically implanted with radio transmitters and passive integrated transponder (PIT) tags. Inferences about general dam passage percentage and timing of volitional migrants were based on surface-acclimated fish released in the reservoir. Dam passage and apparent survival probabilities were estimated using the Route-Specific-Survival Model with data from surface-acclimated fish released near the water surface directly upstream of the temperature control tower (treatment group) and slightly downstream of the dam (control group). In this study, apparent survival is the joint probability of surviving and migrating through the study area during the life of the transmitters.
\nTwo rearing groups were used to enable sufficient sample sizes for the studies. The groups differed in feed type, and for the December study only, the rearing location. Fish from each group were divided nearly equally among all combinations of release sites, release times, and surgeons. The sizes, travel times, and survivals of the two rearing groups were similar. There were statistical differences in fish lengths and travel times of the two groups, but they were small and likely were not biologically meaningful. There also was evidence of a difference in single-release estimates of survival between the rearing groups during the December study, but the differences had little effect on the relative survival estimates so the analyses of passage and survival were based on data from the rearing groups pooled.
\nConditions during the December study were more conducive to passing volitionally migrating fish than conditions during the November study. The passage percentage of the fish released in the reservoir was similar between studies (about 70 percent), but the passage occurred in a median of 1.0 day during the December study and a median of 9.3 days during the November study. More than 93 percent of the dam passage of volitionally migrating fish occurred at night during each study. This finding corroborates results of previous studies at Cougar Dam and suggests that the operating conditions at night are most important to volitionally migrating fish, given the current configuration of the dam.
\nMost fish released near the temperature control tower passed through the RO. A total of 92.2 percent of the treatment group passed through the RO during the November study and the RO was the only route open during the December study.
\nThe assumptions of the survival model were either met or adjusted for during each study. There was little evidence that tagger skill or premature failure of radio transmitters had an effect on survival estimates. There were statistically significant differences in travel times between treatment and control groups through several of the river reaches they had in common, but the differences were typically only a few hours, and the two groups likely experienced the same in-river conditions. There was direct evidence of bias due to detection of euthanized fish with live transmitters released as part of the study design. The bias was ameliorated by adjusting the survival estimates for the probability of detecting dead fish with live transmitters, which reduced the estimated survival probabilities by about 0.02.
\nThe data and models indicated that the treatment effect was not fully expressed until the study reach terminating with Marshall Island Park on the Willamette River, a distance of 105.8 kilometers downstream of Cougar Dam. This was the first reach in which the 95-percent confidence interval of the estimated reach-specific relative survival overlapped 1.0, indicating similar survival of treatment and control groups. The median travel time of the treatment group from release to Marshall Island Park was 1.64 days during the November study and 1.36 days during the December study.
\nThe survival probability of fish that passed into the RO was greater during the December study than during the November study. The relative survival probability of fish passing through the RO was 0.4594 (standard error [SE] 0.0543) during the November study and 0.7389 (SE 0.1160) during the December study. These estimates represent relative survival probabilities from release near Cougar Dam to the Marshall Island site.
\nThe estimated survival probability of RO passage was lower than previous studies based on balloon and PIT tags, but higher than a similar study based on radio transmitters. We suggest that, apart from dam operations, the differences in survival primarily are due to the release location. We hypothesize that the balloon- and PIT-tagged fish released through a hose at a point near the RO gate opening experienced more benign conditions than the radio-tagged fish passing the RO volitionally. This hypothesis could be tested with further study. An alternative hypothesis is that some live fish remained within the study area beyond the life of their radio transmitter.
\nThe results from these and previous studies indicate that entrainment and survival of juvenile salmonids passing Cougar Dam varies with dam operating conditions. The condition most conducive to dam passage has been the discharge and low pool elevation condition tested during December 2012. That condition included large RO gate openings and was the condition with the highest dam passage survival.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141038","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Evans, S.D., Haner, P.V., Hansel, H.C., Hansen, A.C., Smith, C., and Sprando, J.M., 2014, Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012: U.S. Geological Survey Open-File Report 2014-1038, vi, 64 p., https://doi.org/10.3133/ofr20141038.","productDescription":"vi, 64 p.","numberOfPages":"74","onlineOnly":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-049334","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":283195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141038.jpg"},{"id":283194,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1038/pdf/ofr2014-1038.pdf"},{"id":283193,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1038/"}],"country":"United States","state":"Oregon","otherGeospatial":"Cougar Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7449,43.356 ], [ -122.7449,44.9 ], [ -121.768,44.9 ], [ -121.768,43.356 ], [ -122.7449,43.356 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6aa9e4b0b2908510367f","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":7915,"corporation":false,"usgs":true,"family":"Smith","given":"Collin D.","email":"cdsmith@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":490931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sprando, Jamie M. jsprando@usgs.gov","contributorId":4005,"corporation":false,"usgs":true,"family":"Sprando","given":"Jamie","email":"jsprando@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490928,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70095372,"text":"ofr20141042 - 2014 - Evaluation of juvenile salmonid behavior near a prototype weir box at Cowlitz Falls Dam, Washington, 2013","interactions":[],"lastModifiedDate":"2014-03-04T08:47:56","indexId":"ofr20141042","displayToPublicDate":"2014-03-03T15:43:00","publicationYear":"2014","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":"2014-1042","title":"Evaluation of juvenile salmonid behavior near a prototype weir box at Cowlitz Falls Dam, Washington, 2013","docAbstract":"Collection of juvenile salmonids at Cowlitz Falls Dam is a critical part of the effort to restore salmon in the upper Cowlitz River because the majority of fish that are not collected at the dam pass downstream and enter a large reservoir where they become landlocked and lost to the anadromous fish population. However, the juvenile fish collection system at Cowlitz Falls Dam has failed to achieve annual collection goals since it first began operating in 1996. Since that time, numerous modifications to the fish collection system have been made and several prototype collection structures have been developed and tested, but these efforts have not substantially increased juvenile fish collection. Studies have shown that juvenile steelhead (Oncorhynchus mykiss), coho salmon (Oncorhynchus kisutch), and Chinook salmon (Oncorhynchus tshawytscha) tend to locate the collection entrances effectively, but many of these fish are not collected and eventually pass the dam through turbines or spillways. Tacoma Power developed a prototype weir box in 2009 to increase capture rates of juvenile salmonids at the collection entrances, and this device proved to be successful at retaining those fish that entered the weir. However, because of safety concerns at the dam, the weir box could not be deployed near a spillway gate where the prototype was tested, so the device was altered and re-deployed at a different location, where it was evaluated during 2013. The U.S. Geological Survey conducted an evaluation using radiotelemetry to monitor fish behavior near the weir box and collection flumes.
\nThe evaluation was conducted during April–June 2013. Juvenile steelhead and coho salmon (45 per species) were tagged with a radio transmitter and passive integrated transponder (PIT) tag, and released upstream of the dam. All tagged fish moved downstream and entered the forebay of Cowlitz Falls Dam. Median travel times from the release site to the forebay were 0.8 d for steelhead and 1.2 d for coho salmon. Most fish spent several days in the dam forebay; median forebay residence times were 4.4 d for juvenile steelhead and 5.7 d for juvenile coho salmon. A new radio transmitter model was used during the study period. The transmitter had low detection probabilities on underwater antennas located within the collection system, which prevented us from reporting performance metrics (discovery efficiency, entrance efficiency, retention efficiency) that are traditionally used to evaluate fish collection systems.
\nMost tagged steelhead (98 percent) and coho salmon (84 percent) were detected near the weir box or collection flume entrances during the study period; 39 percent of tagged steelhead and 55 percent of tagged coho salmon were detected at both entrances. Sixty-three percent of the tagged steelhead that were detected at both entrances were first detected at the weir box, compared to 52 percent of the coho salmon. Twelve steelhead and 15 coho salmon detected inside the weir box eventually left the device and were collected in collection flumes or passed the dam. Overall, collection rates were relatively high during the study period. Sixty-five percent of the steelhead and 80 percent of the coho salmon were collected during the study, and most of the remaining fish passed the dam and entered the tailrace (24 percent of steelhead; 13 percent of coho salmon). The remaining 11 percent of steelhead and 7 percent of coho salmon did not pass the dam while their transmitters were operating.
\nWe were able to confirm collection of tagged fish at the fish facility using three approaches: (1) detection of radio transmitters in study fish; (2) detection of PIT-tags in study fish; (3) observation of study fish by staff at the fish facility. Data from all three methods were used to develop a multistate mark-recapture model that estimated detection probabilities for the various monitoring methods. These estimates then were used to describe the percent of tagged fish that were collected through the weir box and collection flumes. Detection probabilities of PIT-tag antennas in the collection flumes were 0.895 for juvenile steelhead and 0.881 for juvenile coho salmon, although radiotelemetry detection probabilities were 0.654 and 0.646 for the two species, respectively. The multistate model estimates showed that all steelhead and most coho salmon (94.5 percent) that were collected at the dam entered the collection system through the flumes rather than through the weir box. None of the tagged steelhead and only 5.5 percent of the tagged coho salmon were collected through the weir box. These data show that juvenile steelhead and coho salmon collection rates were much higher through the collection flumes than through the weir box.
\nLow detection probabilities of tagged fish in the fish collection system resulted in uncertainty for some aspects of our evaluation. Missing detection records within the collection system for fish that were known to have been collected resulted in four tagged steelhead and seven tagged coho salmon being removed from the dataset, which was used to assess discovery rates of the weir box and collection flumes. However, the multistate model allowed us to provide unbiased estimates of the percentage of tagged fish that were collected through each route, and these data showed that few fish were collected through the weir box.
\nOverall, the fish collection system performed reasonably well in collecting juvenile steelhead and coho salmon during the 2013 collection season. Fish collection efficiency estimates from the Washington Department of Fish and Wildlife showed that steelhead collection efficiency was slightly higher than the 10-year average (46 percent compared to 42 percent), whereas coho salmon collection efficiency was more than twice as high as the 10-year average (63 percent compared to 30 percent). However, the performance of the weir box was poor because most fish were collected through the collection flumes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141042","issn":"2331-1258","usgsCitation":"Kock, T.J., Liedtke, T.L., Ekstrom, B.K., Tomka, R.G., and Rondorf, D.W., 2014, Evaluation of juvenile salmonid behavior near a prototype weir box at Cowlitz Falls Dam, Washington, 2013: U.S. Geological Survey Open-File Report 2014-1042, iv, 24 p., https://doi.org/10.3133/ofr20141042.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-052870","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":283189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141042.jpg"},{"id":283185,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1042/"},{"id":283188,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1042/pdf/ofr2014-1042.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz Falls Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.220474,45.85151 ], [ -123.220474,46.386227 ], [ -122.238731,46.386227 ], [ -122.238731,45.85151 ], [ -123.220474,45.85151 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5868e4b0b290850f8104","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ekstrom, Brian K. 0000-0002-1162-1780 bekstrom@usgs.gov","orcid":"https://orcid.org/0000-0002-1162-1780","contributorId":3704,"corporation":false,"usgs":true,"family":"Ekstrom","given":"Brian","email":"bekstrom@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tomka, Ryan G. 0000-0003-1078-6089 rtomka@usgs.gov","orcid":"https://orcid.org/0000-0003-1078-6089","contributorId":3706,"corporation":false,"usgs":true,"family":"Tomka","given":"Ryan","email":"rtomka@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rondorf, Dennis W. drondorf@usgs.gov","contributorId":2970,"corporation":false,"usgs":true,"family":"Rondorf","given":"Dennis","email":"drondorf@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048964,"text":"sir20105070J - 2014 - A deposit model for carbonatite and peralkaline intrusion-related rare earth element deposits","interactions":[],"lastModifiedDate":"2022-12-09T23:54:22.187043","indexId":"sir20105070J","displayToPublicDate":"2014-03-03T14:19:00","publicationYear":"2014","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":"2010-5070","chapter":"J","title":"A deposit model for carbonatite and peralkaline intrusion-related rare earth element deposits","docAbstract":"Carbonatite and alkaline intrusive complexes, as well as their weathering products, are the primary sources of rare earth elements. A wide variety of other commodities have been exploited from carbonatites and alkaline igneous rocks including niobium, phosphate, titanium, vermiculite, barite, fluorite, copper, calcite, and zirconium. Other elements enriched in these deposits include manganese, strontium, tantalum, thorium, vanadium, and uranium. Carbonatite and peralkaline intrusion-related rare earth element deposits are presented together in this report because of the spatial, and potentially genetic, association between carbonatite and alkaline rocks. Although these rock types occur together at many locations, carbonatite and peralkaline intrusion-related rare earth element deposits are not generally found together.
\nCarbonatite hosted rare earth element deposits are found throughout the world, but currently only five are being mined for rare earth elements: Bayan Obo, Daluxiang, Maoniuping, and Weishan deposits in China and the Mountain Pass deposit in California, United States. These deposits are enriched in light rare earth elements, including lanthanum, cerium, praseodynium, and neodynium. The principal rare earth element-minerals associated with carbonatites are fluocarbonates (bastnäsite, parisite, and synchysite), hydrated carbonates (ancylite), and phosphates (monazite) with bastnäsite being the primary ore mineral. Calcite and dolomite are the primary gangue minerals. At present, the only rare earth element production from a peralkaline intrusion-related deposit is as a byproduct commodity at the Lovozero deposit in Russia. Important rare earth element minerals found in various deposits include apatite, eudialyte, loparite, gittinsite, xenotime, gadolinite, monazite, bastnäsite, kainosite, mosandrite, britholite, allanite, fergusonite, and zircon, and these minerals tend to be enriched in heavy rare earth elements.
\nCarbonatite and alkaline intrusive complexes are derived from partial melts of mantle material, and neodymium isotopic data are consistent with the rare earth elements being derived from the parental magma. Deposits and these associated rock types tend to occur within stable continental tectonic units, in areas defined as shields, cratons, and crystalline blocks; they are generally associated with intracontinental rift and fault systems. Protracted fractional crystallization of the magma leads to enrichment in rare earth elements and other incompatible elements. Rare earth element mineralization associated with carbonatites can occur as either primary mineral phases or as mineralization associated with late stage orthomagmatic fluids. Rare earth element mineralization associated with alkaline intrusive complexes may occur as primary phases in magmatic layered complexes or as late-stage dikes and veins.
\nThe greatest environmental challenges associated with carbonatite and peralkaline intrusion-related rare earth element deposits center on the associated uranium and thorium. Considerable uncertainty exists around the toxicity of rare earth elements and warrants further investigation. The acid-generating potential of carbonatites and peralkaline intrusion-related deposits is low due to the dominance of carbonate minerals in carbonatite deposits, the presence of feldspars and minor calcite within the alkaline intrusion deposits, and only minor quantities of potentially acid-generating sulfides. Therefore, acid-drainage issues are not likely to be a major concern associated with these deposits. Uranium has the potential to be recovered as a byproduct, which would mitigate some of its environmental effects. However, thorium will likely remain a waste-stream product that will require management since progress is not being made towards the development of thorium-based nuclear reactors in the United States or other large scale commercial uses. Because some deposits are rich in fluorine and beryllium, these elements may be of environmental concern in certain locations.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070J","usgsCitation":"Verplanck, P.L., Van Gosen, B.S., Seal, R., and McCafferty, A.E., 2014, A deposit model for carbonatite and peralkaline intrusion-related rare earth element deposits: U.S. Geological Survey Scientific Investigations Report 2010-5070, x, 58 p., https://doi.org/10.3133/sir20105070J.","productDescription":"x, 58 p.","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039549","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":283180,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/j/pdf/sir2010-5070J.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":283179,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/j/"},{"id":283181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070j.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49bae4b0b290850ef5c3","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":485886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":485888,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70093612,"text":"70093612 - 2014 - Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags","interactions":[],"lastModifiedDate":"2014-03-31T09:50:11","indexId":"70093612","displayToPublicDate":"2014-03-03T13:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags","docAbstract":"We evaluated the performance of small (12.5 mm long) passive integrated transponder (PIT) tags and custom detection antennas for obtaining fine-scale movement and demographic data of mummichog Fundulus heteroclitus in a salt marsh creek. Apparent survival and detection probability were estimated using a Cormack Jolly Seber (CJS) model fitted to detection data collected by an array of 3 vertical antennas from November 2010 to March 2011 and by a single horizontal antenna from April to August 2011. Movement of mummichogs was monitored during the period when the array of vertical antennas was used. Antenna performance was examined in situ using tags placed in wooden dowels (drones) and in live mummichogs. Of the 44 tagged fish, 42 were resighted over the 9 mo monitoring period. The in situ detection probabilities of the drone and live mummichogs were high (~80-100%) when the ambient water depth was less than ~0.8 m. Upstream and downstream movement of mummichogs was related to hourly water depth and direction of tidal current in a way that maximized time periods over which mummichogs utilized the intertidal vegetated marsh. Apparent survival was lower during periods of colder water temperatures in December 2010 and early January 2011 (median estimate of daily apparent survival = 0.979) than during other periods of the study (median estimate of daily apparent survival = 0.992). During late fall and winter, temperature had a positive effect on the CJS detection probability of a tagged mummichog, likely due to greater fish activity over warmer periods. During the spring and summer, this pattern reversed possibly due to mummichogs having reduced activity during the hottest periods. This study demonstrates the utility of PIT tags and continuously operating autonomous detection systems for tracking fish at fine temporal scales, and improving estimates of demographic parameters in salt marsh creeks that are difficult or impractical to sample with active fishing gear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10656","usgsCitation":"Rudershausen, P.J., Buckel, J.A., Dubreuil, T., O’Donnell, M.J., Hightower, J.E., Poland, S.J., and Letcher, B., 2014, Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags: Marine Ecology Progress Series, v. 499, p. 177-192, https://doi.org/10.3354/meps10656.","productDescription":"16 p.","startPage":"177","endPage":"192","numberOfPages":"16","temporalStart":"2010-11-01","temporalEnd":"2011-08-31","ipdsId":"IP-044977","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10656","text":"Publisher Index Page"},{"id":285124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282316,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10656"}],"volume":"499","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517037e4b05569d805a1ea","contributors":{"authors":[{"text":"Rudershausen, Paul J.","contributorId":43669,"corporation":false,"usgs":true,"family":"Rudershausen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubreuil, Todd","contributorId":36457,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[],"preferred":false,"id":490082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Matthew J. 0000-0002-9089-2377 modonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":2003,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"modonnell@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":490079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Steven J.","contributorId":77455,"corporation":false,"usgs":true,"family":"Poland","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":24774,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490081,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202702,"text":"70202702 - 2014 - The U. S. Geological Survey carbon dioxide storage efficiency value methodology: Results and observations","interactions":[],"lastModifiedDate":"2019-03-19T12:34:07","indexId":"70202702","displayToPublicDate":"2014-03-03T12:28:49","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The U. S. Geological Survey carbon dioxide storage efficiency value methodology: Results and observations","title":"The U. S. Geological Survey carbon dioxide storage efficiency value methodology: Results and observations","docAbstract":"In order to complete the 2013 U.S. Geological Survey (USGS) assessment of carbon dioxide (CO2) storage resources, a methodology was needed to determine the CO2storage efficiency of individual rock strata. The method that was used involved a storage efficiency approximation by MacMinn et al., combined with a brine viscosity model by Mao and Duan, and thermal and pressure data from petroleum fields across basins. The resulting efficiencies indicated that both salinity of the pore fluid and the thermal gradient have a strong effect on the amount of CO2 that strata could store.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2014.11.542","issn":"1876-6102","usgsCitation":"Brennan, S.T., 2014, The U. S. Geological Survey carbon dioxide storage efficiency value methodology: Results and observations: Energy Procedia, v. 63, p. 5123-5129, https://doi.org/10.1016/j.egypro.2014.11.542.","productDescription":"7 p.","startPage":"5123","endPage":"5129","numberOfPages":"7","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2014.11.542","text":"Publisher Index Page"},{"id":362178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70158600,"text":"70158600 - 2014 - Using cure models for analyzing the influence of pathogens on salmon survival","interactions":[],"lastModifiedDate":"2019-12-11T13:17:24","indexId":"70158600","displayToPublicDate":"2014-03-03T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using cure models for analyzing the influence of pathogens on salmon survival","docAbstract":"Parasites and pathogens influence the size and stability of wildlife populations, yet many population models ignore the population-level effects of pathogens. Standard survival analysis methods (e.g., accelerated failure time models) are used to assess how survival rates are influenced by disease. However, they assume that each individual is equally susceptible and will eventually experience the event of interest; this assumption is not typically satisfied with regard to pathogens of wildlife populations. In contrast, mixture cure models, which comprise logistic regression and survival analysis components, allow for different covariates to be entered into each part of the model and provide better predictions of survival when a fraction of the population is expected to survive a disease outbreak. We fitted mixture cure models to the host–pathogen dynamics of Chinook Salmon Oncorhynchus tshawytscha and Coho Salmon O. kisutch and the myxozoan parasite Ceratomyxa shasta. Total parasite concentration, water temperature, and discharge were used as covariates to predict the observed parasite-induced mortality in juvenile salmonids collected as part of a long-term monitoring program in the Klamath River, California. The mixture cure models predicted the observed total mortality well, but some of the variability in observed mortality rates was not captured by the models. Parasite concentration and water temperature were positively associated with total mortality and the mortality rate of both Chinook Salmon and Coho Salmon. Discharge was positively associated with total mortality for both species but only affected the mortality rate for Coho Salmon. The mixture cure models provide insights into how daily survival rates change over time in Chinook Salmon and Coho Salmon after they become infected with C. shasta.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2013.862183","usgsCitation":"Ray, A.R., Perry, R.W., Som, N.A., and Bartholomew, J.L., 2014, Using cure models for analyzing the influence of pathogens on salmon survival: Transactions of the American Fisheries Society, v. 143, no. 2, p. 387-398, https://doi.org/10.1080/00028487.2013.862183.","productDescription":"12 p.","startPage":"387","endPage":"398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063786","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":309549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, California","otherGeospatial":"Klamath River basin, Beaver Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.62890625,\n 39.470125122358176\n ],\n [\n -119.92675781249999,\n 39.470125122358176\n ],\n [\n -119.92675781249999,\n 43.229195113965005\n ],\n [\n -124.62890625,\n 43.229195113965005\n ],\n [\n -124.62890625,\n 39.470125122358176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"56139f57e4b0ba4884c60fd1","contributors":{"authors":[{"text":"Ray, Adam R","contributorId":148959,"corporation":false,"usgs":false,"family":"Ray","given":"Adam","email":"","middleInitial":"R","affiliations":[{"id":17603,"text":"Department of Fisheries and Wildlife, Oregon State University, 104 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":576264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":576263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartholomew, Jerri L","contributorId":148960,"corporation":false,"usgs":false,"family":"Bartholomew","given":"Jerri","email":"","middleInitial":"L","affiliations":[{"id":17604,"text":"Dept. of Microbiology, OSU, 220 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":576266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70056499,"text":"70056499 - 2014 - Ecological role and services of tropical mangrove ecosystems: a reassessment","interactions":[],"lastModifiedDate":"2014-06-06T10:44:04","indexId":"70056499","displayToPublicDate":"2014-03-01T15:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Ecological role and services of tropical mangrove ecosystems: a reassessment","docAbstract":"Aim
\nTo reassess the capacity of mangroves for ecosystem services in the light of recent data.
\n\nLocation
\nGlobal mangrove ecosystems.
\n\nMethods
\nWe review four long-standing roles of mangroves: (1) carbon dynamics – export or sink; (2) nursery role; (3) shoreline protection; (4) land-building capacity. The origins of pertinent hypotheses, current understanding and gaps in our knowledge are highlighted with reference to biogeographic, geographic and socio-economic influences.
\n\nResults
\nThe role of mangroves as C sinks needs to be evaluated for a wide range of biogeographic regions and forest conditions. Mangrove C assimilation may be under-estimated because of flawed methodology and scanty data on key components of C dynamics. Peri-urban mangroves may be manipulated to provide local offsets for C emission. The nursery function of mangroves is not ubiquitous but varies with spatio-temporal accessibility. Connectivity and complementarity of mangroves and adjacent habitats enhance their nursery function through trophic relay and ontogenetic migrations. The effectiveness of mangroves for coastal protection depends on factors at landscape/geomorphic to community scales and local/species scales. Shifts in species due to climate change, forest degradation and loss of habitat connectivity may reduce the protective capacity of mangroves. Early views of mangroves as land builders (especially lateral expansion) were questionable. Evidence now indicates that mangroves, once established, directly influence vertical land development by enhancing sedimentation and/or by direct organic contributions to soil volume (peat formation) in some settings.
\n\nMain conclusions
\nKnowledge of thresholds, spatio-temporal scaling and variability due to geographic, biogeographic and socio-economic settings will improve the management of mangrove ecosystem services. Many drivers respond to global trends in climate change and local changes such as urbanization. While mangroves have traditionally been managed for subsistence, future governance models must involve partnerships between local custodians of mangroves and offsite beneficiaries of the services.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Ecology and Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Global Ecology and Biogeography","doi":"10.1111/geb.12155","usgsCitation":"Lee, S.Y., Primavera, J., Dahdouh-Guebas, F., McKee, K., Bosire, J.O., Cannicci, S., Diele, K., Fromard, F., Koedam, N., Marchand, C., Mendelssohn, I., Mukherjee, N., and Record, S., 2014, Ecological role and services of tropical mangrove ecosystems: a reassessment: Global Ecology and Biogeography, v. 23, no. 7, p. 726-743, https://doi.org/10.1111/geb.12155.","productDescription":"18 p.","startPage":"726","endPage":"743","numberOfPages":"18","ipdsId":"IP-045539","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/geb.12155","text":"Publisher Index Page"},{"id":283868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283867,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/geb.12155"}],"country":"United States","volume":"23","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-03-06","publicationStatus":"PW","scienceBaseUri":"53517035e4b05569d805a1da","contributors":{"authors":[{"text":"Lee, Shing Yip","contributorId":39694,"corporation":false,"usgs":false,"family":"Lee","given":"Shing","email":"","middleInitial":"Yip","affiliations":[{"id":13193,"text":"School of Environment, Griffith University","active":true,"usgs":false}],"preferred":false,"id":486562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Primavera, Jurgene H.","contributorId":56151,"corporation":false,"usgs":true,"family":"Primavera","given":"Jurgene H.","affiliations":[],"preferred":false,"id":486564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahdouh-Guebas, Farid","contributorId":30138,"corporation":false,"usgs":true,"family":"Dahdouh-Guebas","given":"Farid","affiliations":[],"preferred":false,"id":486561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Karen 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":89592,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","affiliations":[],"preferred":false,"id":486568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bosire, Jared O.","contributorId":48096,"corporation":false,"usgs":true,"family":"Bosire","given":"Jared","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":486563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cannicci, Stefano","contributorId":69884,"corporation":false,"usgs":true,"family":"Cannicci","given":"Stefano","email":"","affiliations":[],"preferred":false,"id":486566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diele, Karen","contributorId":104398,"corporation":false,"usgs":true,"family":"Diele","given":"Karen","affiliations":[],"preferred":false,"id":486571,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fromard, Francois","contributorId":89801,"corporation":false,"usgs":true,"family":"Fromard","given":"Francois","email":"","affiliations":[],"preferred":false,"id":486569,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Koedam, Nico","contributorId":99463,"corporation":false,"usgs":true,"family":"Koedam","given":"Nico","email":"","affiliations":[],"preferred":false,"id":486570,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marchand, Cyril","contributorId":62136,"corporation":false,"usgs":true,"family":"Marchand","given":"Cyril","email":"","affiliations":[],"preferred":false,"id":486565,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mendelssohn, Irving","contributorId":21455,"corporation":false,"usgs":true,"family":"Mendelssohn","given":"Irving","affiliations":[],"preferred":false,"id":486559,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mukherjee, Nibedita","contributorId":85086,"corporation":false,"usgs":true,"family":"Mukherjee","given":"Nibedita","email":"","affiliations":[],"preferred":false,"id":486567,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Record, Sydne","contributorId":23844,"corporation":false,"usgs":true,"family":"Record","given":"Sydne","email":"","affiliations":[],"preferred":false,"id":486560,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70160598,"text":"70160598 - 2014 - Ecology and population status of trout-perch (Percopsis omiscomaycus) in western Lake Erie","interactions":[],"lastModifiedDate":"2015-12-23T14:43:48","indexId":"70160598","displayToPublicDate":"2014-03-01T15:45:00","publicationYear":"2014","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":"Ecology and population status of trout-perch (Percopsis omiscomaycus) in western Lake Erie","docAbstract":"Trout-perch Percopsis omiscomaycus is among the most abundant benthic species in Lake Erie, but comparatively little is known about its ecology. Although others have conducted extensive studies on trout-perch ecology, those efforts predated invasions of white perch Morone americana, Dreissena spp., Bythotrephes longimanus and round goby Neogobius melanostomus, suggesting the need to revisit past work. Trout-perch were sampled with bottom trawls at 56 sites during June and September 2010. We examined diets, fecundity, average annual mortality, sex ratio, and long-term population trends at sites sampled since 1961. Trout-perch abundance fluctuated periodically, with distinct shorter- (4-year) and longer-term (over period of 50 years) fluctuations. Males had higher average annual mortality than females. Both sexes were equally abundant at age 0, but females outnumbered males 4:1 by age 2. Diets of trout-perch were dominated by macroinvertebrates, particularly chironomids and Hexagenia sp. Size distributions of trout-perch eggs varied widely and exhibited multiple modes indicative of protracted batch spawning. A review of the few other studies of trout-perch revealed periodic fluctuations in sex ratio of adults, which in light of our evidence of periodicity in abundance suggests the potential for sex-ratio-mediated intrinsic population regulation. Despite the introduction of numerous invasive species in Lake Erie, trout-perch remain one of the most abundant benthic invertivores and the population is relatively stable.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2013.09.004","usgsCitation":"Kocovsky, P., Stoneman, A.T., and Kraus, R.T., 2014, Ecology and population status of trout-perch (Percopsis omiscomaycus) in western Lake Erie: Journal of Great Lakes Research, v. 40, no. 1, p. 208-214, https://doi.org/10.1016/j.jglr.2013.09.004.","productDescription":"7 p.","startPage":"208","endPage":"214","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045841","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.3974609375,\n 42.10433598038485\n ],\n [\n -82.29034423828125,\n 41.43449030894922\n ],\n [\n -82.36450195312499,\n 41.42007467380591\n ],\n [\n -82.4853515625,\n 41.38917324986403\n ],\n [\n -82.63641357421875,\n 41.43243112846178\n ],\n [\n -82.81768798828125,\n 41.448902743309674\n ],\n [\n -82.94952392578125,\n 41.422134246213616\n ],\n [\n -83.03466796874999,\n 41.4509614012039\n ],\n [\n -82.96600341796875,\n 41.48389104267175\n ],\n [\n -82.72430419921875,\n 41.52297326747377\n ],\n [\n -82.7105712890625,\n 41.541477666790286\n ],\n [\n -82.825927734375,\n 41.529141988723104\n ],\n [\n -82.8314208984375,\n 41.59285100004955\n ],\n [\n -82.87811279296875,\n 41.57436130598913\n ],\n [\n -82.880859375,\n 41.52091689636249\n ],\n [\n -82.94403076171875,\n 41.51680395810118\n ],\n [\n -83.067626953125,\n 41.60722821271717\n ],\n [\n -83.21319580078125,\n 41.63392025225949\n ],\n [\n -83.3367919921875,\n 41.69957665997156\n ],\n [\n -83.3807373046875,\n 41.68316883525891\n ],\n [\n -83.48236083984375,\n 41.70367796221136\n ],\n [\n -83.4686279296875,\n 41.759019938155404\n ],\n [\n -83.42468261718749,\n 41.74672584176937\n ],\n [\n -83.44390869140625,\n 41.80203073088394\n ],\n [\n -83.41644287109374,\n 41.820455096140314\n ],\n [\n -83.38348388671875,\n 41.87365126992505\n ],\n [\n -83.3477783203125,\n 41.87365126992505\n ],\n [\n -83.309326171875,\n 41.93088998442502\n ],\n [\n -83.2598876953125,\n 41.92680320648791\n ],\n [\n -83.24615478515625,\n 41.96561702568286\n ],\n [\n -83.15826416015625,\n 42.01665183556825\n ],\n [\n -83.19671630859375,\n 42.04317376494972\n ],\n [\n -83.199462890625,\n 42.10637370579324\n ],\n [\n -83.1170654296875,\n 42.28340504748079\n ],\n [\n -83.111572265625,\n 42.147114459220994\n ],\n [\n -83.12805175781249,\n 42.05337156043361\n ],\n [\n -83.045654296875,\n 42.032974332441405\n ],\n [\n -82.93304443359374,\n 41.98603585974727\n ],\n [\n -82.80120849609374,\n 42.00848901572399\n ],\n [\n -82.71331787109375,\n 42.02685388718981\n ],\n [\n -82.64465332031249,\n 42.039094188385945\n ],\n [\n -82.58697509765625,\n 42.0125705565935\n ],\n [\n -82.50732421875,\n 41.916585116228354\n ],\n [\n -82.49908447265625,\n 42.032974332441405\n ],\n [\n -82.43865966796875,\n 42.09618442380296\n ],\n [\n -82.3974609375,\n 42.10433598038485\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567bd3bbe4b0a04ef491a1f5","contributors":{"authors":[{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoneman, Andrea T.","contributorId":150836,"corporation":false,"usgs":false,"family":"Stoneman","given":"Andrea","email":"","middleInitial":"T.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":583279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70060515,"text":"70060515 - 2014 - Remotely-sensed indicators of N-related biomass allocation in Schoenoplectus acutus","interactions":[],"lastModifiedDate":"2014-03-11T15:29:49","indexId":"70060515","displayToPublicDate":"2014-03-01T15:24:38","publicationYear":"2014","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":"Remotely-sensed indicators of N-related biomass allocation in Schoenoplectus acutus","docAbstract":"Coastal marshes depend on belowground biomass of roots and rhizomes to contribute to peat and soil organic carbon, accrete soil and alleviate flooding as sea level rises. For nutrient-limited plants, eutrophication has either reduced or stimulated belowground biomass depending on plant biomass allocation response to fertilization. Within a freshwater wetland impoundment receiving minimal sediments, we used experimental plots to explore growth models for a common freshwater macrophyte, Schoenoplectus acutus. We used N-addition and control plots (4 each) to test whether remotely sensed vegetation indices could predict leaf N concentration, root:shoot ratios and belowground biomass of S. acutus. Following 5 months of summer growth, we harvested whole plants, measured leaf N and total plant biomass of all above and belowground vegetation. Prior to harvest, we simulated measurement of plant spectral reflectance over 164 hyperspectral Hyperion satellite bands (350–2500 nm) with a portable spectroradiometer. N-addition did not alter whole plant, but reduced belowground biomass 36% and increased aboveground biomass 71%. We correlated leaf N concentration with known N-related spectral regions using all possible normalized difference (ND), simple band ratio (SR) and first order derivative ND (FDN) and SR (FDS) vegetation indices. FDN1235, 549 was most strongly correlated with leaf N concentration and also was related to belowground biomass, the first demonstration of spectral indices and belowground biomass relationships. While S. acutus exhibited balanced growth (reduced root:shoot ratio with respect to nutrient addition), our methods also might relate N-enrichment to biomass point estimates for plants with isometric root growth. For isometric growth, foliar N indices will scale equivalently with above and belowground biomass. Leaf N vegetation indices should aid in scaling-up field estimates of biomass and assist regional monitoring.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0090870","usgsCitation":"O’Connell, J.L., Byrd, K.B., and Kelly, M., 2014, Remotely-sensed indicators of N-related biomass allocation in Schoenoplectus acutus: PLoS ONE, v. 9, no. 3, e90870; 9 p., https://doi.org/10.1371/journal.pone.0090870.","productDescription":"e90870; 9 p.","ipdsId":"IP-043801","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0090870","text":"Publisher Index Page"},{"id":283864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283863,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0090870"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0533,37.7394 ], [ -122.0533,38.3794 ], [ -121.4133,38.3794 ], [ -121.4133,37.7394 ], [ -122.0533,37.7394 ] ] ] } } ] }","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-10","publicationStatus":"PW","scienceBaseUri":"5351705fe4b05569d805a390","contributors":{"authors":[{"text":"O’Connell, Jessica L.","contributorId":62518,"corporation":false,"usgs":true,"family":"O’Connell","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":487888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Maggi","contributorId":14275,"corporation":false,"usgs":true,"family":"Kelly","given":"Maggi","affiliations":[],"preferred":false,"id":487889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70129176,"text":"70129176 - 2014 - Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models","interactions":[],"lastModifiedDate":"2014-10-17T15:29:35","indexId":"70129176","displayToPublicDate":"2014-03-01T15:23:49","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models","docAbstract":"We use the NCEP/NCAR Reanalysis (NCEP) and the MPI/ECHAM5 general circulation model to drive the RegCM3 regional climate model to assess the ability of the models to reproduce the spatiotemporal aspects of the Pacific-North American teleconnection (PNA) pattern. Composite anomalies of the NCEP-driven RegCM3 simulations for 1982–2000 indicate that the regional model is capable of accurately simulating the key features (500-hPa heights, surface temperature, and precipitation) of the positive and negative phases of the PNA with little loss of information in the downscaling process. The basic structure of the PNA is captured in both the ECHAM5 global and ECHAM5-driven RegCM3 simulations. The 1950–2000 ECHAM5 simulation displays similar temporal and spatial variability in the PNA index as that of NCEP; however, the magnitudes of the positive and negative phases are weaker than those of NCEP. The RegCM3 simulations clearly differentiate the climatology and associated anomalies of snow water equivalent and soil moisture of the positive and negative PNA phases. In the RegCM3 simulations of the future (2050–2100), changes in the location and extent of the Aleutian low and the continental high over North America alter the dominant flow patterns associated with positive and negative PNA modes. The future projections display a shift in the patterns of the relationship between the PNA and surface climate variables, which suggest the potential for changes in the PNA-related surface hydrology of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climate Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00382-013-1910-x","usgsCitation":"Allan, A.M., Hostetler, S.W., and Alder, J.R., 2014, Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models: Climate Dynamics, v. 42, no. 5-6, p. 1671-1682, https://doi.org/10.1007/s00382-013-1910-x.","productDescription":"12 p.","startPage":"1671","endPage":"1682","numberOfPages":"12","ipdsId":"IP-049534","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00382-013-1910-x"}],"otherGeospatial":"North America, North Pacific","volume":"42","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2013-08-18","publicationStatus":"PW","scienceBaseUri":"54422f9be4b0192a5a42f3ce","contributors":{"authors":[{"text":"Allan, Andrea M.","contributorId":24714,"corporation":false,"usgs":true,"family":"Allan","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70124521,"text":"70124521 - 2014 - Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl","interactions":[],"lastModifiedDate":"2017-07-26T17:16:24","indexId":"70124521","displayToPublicDate":"2014-03-01T14:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl","docAbstract":"For decades, southern China has been considered to be an important source for emerging influenza viruses since key hosts live together in high densities in areas with intensive agriculture. However, the underlying conditions of emergence and spread of avian influenza viruses (AIV) have not been studied in detail, particularly the complex spatiotemporal interplay of viral transmission between wild and domestic ducks, two major actors of AIV epidemiology. In this synthesis, we examine the risks of avian influenza spread in Poyang Lake, an area of intensive free-ranging duck production and large numbers of wild waterfowl. Our synthesis shows that farming of free-grazing domestic ducks is intensive in this area and synchronized with wild duck migration. The presence of juvenile domestic ducks in harvested paddy fields prior to the arrival and departure of migrant ducks in the same fields may amplify the risk of AIV circulation and facilitate the transmission between wild and domestic populations. We provide evidence associating wild ducks migration with the spread of H5N1 in the spring of 2008 from southern China to South Korea, Russia, and Japan, supported by documented wild duck movements and phylogenetic analyses of highly pathogenic avian influenza H5N1 sequences. We suggest that prevention measures based on a modification of agricultural practices may be implemented in these areas to reduce the intensity of AIV transmission between wild and domestic ducks. This would require involving all local stakeholders to discuss feasible and acceptable solutions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"EcoHealth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10393-014-0914-2","usgsCitation":"Cappelle, J., Zhao, D., Gilbert, M., Newman, S.H., Takekawa, J.Y., Gaidet, N., Prosser, D.J., Liu, Y., Li, P., Shu, Y., and Xiao, X., 2014, Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl: EcoHealth, v. 11, no. 1, p. 109-119, https://doi.org/10.1007/s10393-014-0914-2.","productDescription":"11 p.","startPage":"109","endPage":"119","numberOfPages":"11","ipdsId":"IP-041542","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473130,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4047217","text":"External Repository"},{"id":293844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293781,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10393-014-0914-2"}],"country":"China","otherGeospatial":"Poyang Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 115.1671,28.1759 ], [ 115.1671,29.76 ], [ 116.755,29.76 ], [ 116.755,28.1759 ], [ 115.1671,28.1759 ] ] ] } } ] }","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"54140b27e4b082fed288b96c","contributors":{"authors":[{"text":"Cappelle, Julien","contributorId":71440,"corporation":false,"usgs":true,"family":"Cappelle","given":"Julien","email":"","affiliations":[],"preferred":false,"id":500878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Delong","contributorId":74686,"corporation":false,"usgs":true,"family":"Zhao","given":"Delong","email":"","affiliations":[],"preferred":false,"id":500880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Marius","contributorId":61148,"corporation":false,"usgs":true,"family":"Gilbert","given":"Marius","email":"","affiliations":[],"preferred":false,"id":500875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":500881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":500871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaidet, Nicolas","contributorId":37601,"corporation":false,"usgs":true,"family":"Gaidet","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":500874,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":500872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Ying","contributorId":11130,"corporation":false,"usgs":true,"family":"Liu","given":"Ying","affiliations":[],"preferred":false,"id":500873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Peng","contributorId":72642,"corporation":false,"usgs":true,"family":"Li","given":"Peng","affiliations":[],"preferred":false,"id":500879,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shu, Yuelong","contributorId":61760,"corporation":false,"usgs":true,"family":"Shu","given":"Yuelong","email":"","affiliations":[],"preferred":false,"id":500876,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":500877,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70111904,"text":"70111904 - 2014 - Monitoring Hawaiian waterbirds: evaluation of sampling methods to produce reliable estimates","interactions":[],"lastModifiedDate":"2014-07-02T12:56:39","indexId":"70111904","displayToPublicDate":"2014-03-01T12:52:15","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TR HCSU-049","title":"Monitoring Hawaiian waterbirds: evaluation of sampling methods to produce reliable estimates","docAbstract":"We conducted field trials to assess several different methods of estimating the abundance of four endangered Hawaiian waterbirds: the Hawaiian duck (Anas wyvilliana), Hawaiian coot (Fulica alai), Hawaiian common moorhen (Gallinula chloropus sandvicensis) and Hawaiian stilt (Himantopus mexicanus knudseni). At two sites on Oʽahu, James Campbell National Wildlife Refuge and Hamakua Marsh, we conducted field trials where both solitary and paired observers counted birds and recorded the distance to observed birds. We then compared the results of estimates using the existing simple count, distance estimates from both point- and line-transect surveys, paired observer count estimates, bounded count, and Overton estimators. Comparing covariate recorded values among simultaneous observations revealed inconsistency between observers. We showed that the variation among simple counts means the current direct count survey, even if interpreted as a proportional index of abundance, incorporates many sources of uncertainty that are not taken into account. Analysis revealed violation of model assumptions that allowed us to discount distance-based estimates as a viable estimation technique. Among the remaining methods, point counts by paired observers produced the most precise estimates while meeting model assumptions. We present an example sampling protocol using paired observer counts. Finally, we suggest further research that will improve abundance estimates of Hawaiian waterbirds.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Hawaii Cooperative Studies Unit Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University of Hawaii","publisherLocation":"Hilo, HI","usgsCitation":"Camp, R., Brinck, K., Paxton, E.H., and Leopold, C., 2014, Monitoring Hawaiian waterbirds: evaluation of sampling methods to produce reliable estimates, iii, 29 p.","productDescription":"iii, 29 p.","numberOfPages":"33","ipdsId":"IP-055631","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":289384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288197,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.281754,21.254838 ], [ -158.281754,21.712671 ], [ -157.648703,21.712671 ], [ -157.648703,21.254838 ], [ -158.281754,21.254838 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b1bce4b0388651d91823","contributors":{"authors":[{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":494534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W.","contributorId":78215,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","affiliations":[],"preferred":false,"id":494535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leopold, Christina","contributorId":78252,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":494536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157144,"text":"70157144 - 2014 - A deglacial and Holocene record of climate variability in south-central Alaska from stable oxygen isotopes and plant macrofossils in peat","interactions":[],"lastModifiedDate":"2015-09-30T11:21:18","indexId":"70157144","displayToPublicDate":"2014-03-01T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A deglacial and Holocene record of climate variability in south-central Alaska from stable oxygen isotopes and plant macrofossils in peat","docAbstract":"We used stable oxygen isotopes derived from bulk peat (δ18OTOM), in conjunction with plant macrofossils and previously published carbon accumulation records, in a ∼14,500 cal yr BP peat core (HT Fen) from the Kenai lowlands in south-central Alaska to reconstruct the climate history of the area. We find that patterns are broadly consistent with those from lacustrine records across the region, and agree with the interpretation that major shifts in δ18OTOM values indicate changes in strength and position of the Aleutian Low (AL), a semi-permanent low-pressure cell that delivers winter moisture to the region. We find decreased strength or a more westerly position of the AL (relatively higher δ18OTOM values) during the Bølling-Allerød, Holocene Thermal Maximum (HTM), and late Holocene, which also correspond to warmer climate regimes. These intervals coincide with greater peat preservation and enhanced carbon (C) accumulation rates at the HT Fen and with peatland expansion across Alaska. The HTM in particular may have experienced greater summer precipitation as a result of an enhanced Pacific subtropical high, a pattern consistent with modern δ18O values for summer precipitation. The combined warm summer temperatures and greater summer precipitation helped promote the observed rapid peat accumulation. A strengthened AL (relatively lower δ18OTOM values) is most evident during the Younger Dryas, Neoglaciation, and the Little Ice Age, consistent with lower peat preservation and C accumulation at the HT Fen, suggesting less precipitation reaches the leeward side of the Kenai Mountains during periods of enhanced AL strength. The peatlands on the Kenai Peninsula thrive when the AL is weak and the contribution of summer precipitation is higher, highlighting the importance of precipitation seasonality in promoting peat accumulation. This study demonstrates that δ18OTOM values in peat can be applied toward understand large-scale shifts in atmospheric circulation over millennial timescales.
","language":"English","publisher":"Pergamon Press","publisherLocation":"Kidlington, United Kingdom","doi":"10.1016/j.quascirev.2013.12.025","usgsCitation":"Jones, M.C., Wooller, M., and Peteet, D.M., 2014, A deglacial and Holocene record of climate variability in south-central Alaska from stable oxygen isotopes and plant macrofossils in peat: Quaternary Science Reviews, v. 87, p. 1-11, https://doi.org/10.1016/j.quascirev.2013.12.025.","productDescription":"11 p.","startPage":"1","endPage":"11","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052895","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":473132,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140017637","text":"External Repository"},{"id":309370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"87","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560d07ace4b058f706e542f6","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wooller, Matthew J.","contributorId":24213,"corporation":false,"usgs":true,"family":"Wooller","given":"Matthew J.","affiliations":[],"preferred":false,"id":571854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peteet, Dorothy M. 0000-0003-3029-7506","orcid":"https://orcid.org/0000-0003-3029-7506","contributorId":147523,"corporation":false,"usgs":false,"family":"Peteet","given":"Dorothy","email":"","middleInitial":"M.","affiliations":[{"id":16858,"text":"Goddard Institute","active":true,"usgs":false}],"preferred":false,"id":571855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095738,"text":"70095738 - 2014 - Dynamic hyporheic exchange at intermediate timescales: testing the relative importance of evapotranspiration and flood pulses","interactions":[],"lastModifiedDate":"2014-03-11T12:11:59","indexId":"70095738","displayToPublicDate":"2014-03-01T11:54:21","publicationYear":"2014","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":"Dynamic hyporheic exchange at intermediate timescales: testing the relative importance of evapotranspiration and flood pulses","docAbstract":"Hyporheic fluxes influence ecological processes across a continuum of timescales. However, few studies have been able to characterize hyporheic fluxes and residence time distributions (RTDs) over timescales of days to years, during which evapotranspiration (ET) and seasonal flood pulses create unsteady forcing. Here we present a data-driven, particle-tracking piston model that characterizes hyporheic fluxes and RTDs based on measured vertical head differences. We used the model to test the relative influence of ET and seasonal flood pulses in the Everglades (FL, USA), in a manner applicable to other low-energy floodplains or broad, shallow streams. We found that over the multiyear timescale, flood pulses that drive relatively deep (∼1 m) flow paths had the dominant influence on hyporheic fluxes and residence times but that ET effects were discernible at shorter timescales (weeks to months) as a break in RTDs. Cumulative RTDs on either side of the break were generally well represented by lognormal functions, except for when ET was strong and none of the standard distributions applied to the shorter timescale. At the monthly timescale, ET increased hyporheic fluxes by 1–2 orders of magnitude; it also decreased 6 year mean residence times by 53–87%. Long, slow flow paths driven by flood pulses increased 6 year hyporheic fluxes by another 1–2 orders of magnitude, to a level comparable to that induced over the short term by shear flow in streams. Results suggest that models of intermediate-timescale processes should include at least two-storage zones with different RTDs, and that supporting field data collection occur over 3–4 years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013WR014195","usgsCitation":"Larsen, L., Harvey, J.W., and Maglio, M.M., 2014, Dynamic hyporheic exchange at intermediate timescales: testing the relative importance of evapotranspiration and flood pulses: Water Resources Research, v. 50, no. 1, p. 318-335, https://doi.org/10.1002/2013WR014195.","productDescription":"18 p.","startPage":"318","endPage":"335","ipdsId":"IP-052076","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr014195","text":"Publisher Index Page"},{"id":283831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283701,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR014195"},{"id":283702,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2013WR014195/abstract"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ], [ -80,5.555555555555556E-4 ], [ -80,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ] ] ] } } ] }","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-15","publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1cf","contributors":{"authors":[{"text":"Larsen, Laurel G.","contributorId":42111,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":491416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":491414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maglio, Morgan M. mmaglio@usgs.gov","contributorId":3991,"corporation":false,"usgs":true,"family":"Maglio","given":"Morgan","email":"mmaglio@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491415,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059178,"text":"70059178 - 2014 - Melt inclusions","interactions":[],"lastModifiedDate":"2022-12-09T23:56:49.261149","indexId":"70059178","displayToPublicDate":"2014-03-01T11:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Melt inclusions","docAbstract":"Melt inclusions are small droplets of silicate melt that are trapped in minerals during their growth in a magma. Once formed, they commonly retain much of their initial composition (with some exceptions) unless they are re-opened at some later stage. Melt inclusions thus offer several key advantages over whole rock samples: (i) they record pristine concentrations of volatiles and metals that are usually lost during magma solidification and degassing, (ii) they are snapshots in time whereas whole rocks are the time-integrated end products, thus allowing a more detailed, time-resolved view into magmatic processes (iii) they are largely unaffected by subsolidus alteration. Due to these characteristics, melt inclusions are an ideal tool to study the evolution of mineralized magma systems. This chapter first discusses general aspects of melt inclusions formation and methods for their investigation, before reviewing studies performed on mineralized magma systems.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference module in earth systems and environmental sciences: Treatise on geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-095975-7.01106-2","usgsCitation":"Audétat A., and Lowenstern, J.B., 2014, Melt inclusions, chap. of Reference module in earth systems and environmental sciences: Treatise on geochemistry, v. 13, p. 143-173, https://doi.org/10.1016/B978-0-08-095975-7.01106-2.","productDescription":"31 p.","startPage":"143","endPage":"173","ipdsId":"IP-038597","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":284304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","edition":"Second Edition","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517054e4b05569d805a31d","contributors":{"authors":[{"text":"Audétat A.","contributorId":127932,"corporation":true,"usgs":false,"organization":"Audétat A.","id":535612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093758,"text":"70093758 - 2014 - Using natural range of variation to set decision thresholds: a case study for great plains grasslands","interactions":[],"lastModifiedDate":"2018-08-15T11:55:46","indexId":"70093758","displayToPublicDate":"2014-03-01T11:16:54","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Using natural range of variation to set decision thresholds: a case study for great plains grasslands","docAbstract":"Natural range of variation (NRV) may be used to establish decision thresholds or action assessment points when ecological thresholds are either unknown or do not exist for attributes of interest in a managed ecosystem. The process for estimating NRV involves identifying spatial and temporal scales that adequately capture the heterogeneity of the ecosystem; compiling data for the attributes of interest via study of historic records, analysis and interpretation of proxy records, modeling, space-for-time substitutions, or analysis of long-term monitoring data; and quantifying the NRV from those data. At least 19 National Park Service (NPS) units in North America’s Great Plains are monitoring plant species richness and evenness as indicators of vegetation integrity in native grasslands, but little information on natural, temporal variability of these indicators is available. In this case study, we use six long-term vegetation monitoring datasets to quantify the temporal variability of these attributes in reference conditions for a variety of Great Plains grassland types, and then illustrate the implications of using different NRVs based on these quantities for setting management decision thresholds. Temporal variability of richness (as measured by the coefficient of variation, CV) is fairly consistent across the wide variety of conditions occurring in Colorado shortgrass prairie to Minnesota tallgrass sand savanna (CV 0.20–0.45) and generally less than that of production at the same sites. Temporal variability of evenness spans a greater range of CV than richness, and it is greater than that of production in some sites but less in other sites. This natural temporal variability may mask undesirable changes in Great Plains grasslands vegetation. Consequently, we suggest that managers consider using a relatively narrow NRV (interquartile range of all richness or evenness values observed in reference conditions) for designating a surveillance threshold, at which greater attention to the situation would be paid, and a broader NRV for designating management thresholds, at which action would be instigated.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Application of threshold concepts in natural resource decision making","language":"English","publisher":"Springer","doi":"10.1007/978-1-4899-8041-0_8","usgsCitation":"Symstad, A., and Jonas, J.L., 2014, Using natural range of variation to set decision thresholds: a case study for great plains grasslands, chap. of Application of threshold concepts in natural resource decision making, p. 131-156, https://doi.org/10.1007/978-1-4899-8041-0_8.","productDescription":"26 p.","startPage":"131","endPage":"156","ipdsId":"IP-034780","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.115234375,\n 53.27835301753182\n ],\n [\n -113.53271484375,\n 53.396432127095984\n ],\n [\n -114.005126953125,\n 53.26521293124656\n ],\n [\n -114.521484375,\n 51.80861475198521\n ],\n [\n -115.04882812499999,\n 49.009050809382046\n ],\n [\n -112.19238281249999,\n 47.931066347509784\n ],\n [\n -109.599609375,\n 44.465151013519616\n ],\n [\n -107.09472656249999,\n 42.35854391749705\n ],\n [\n -106.5673828125,\n 38.788345355085625\n ],\n [\n -105.556640625,\n 35.10193405724606\n ],\n [\n -103.095703125,\n 32.36140331527543\n ],\n [\n -101.77734374999999,\n 31.240985378021307\n ],\n [\n -99.4482421875,\n 29.84064389983441\n ],\n [\n -98.3056640625,\n 30.29701788337205\n ],\n [\n -97.734375,\n 32.47269502206151\n ],\n [\n -95.5810546875,\n 35.17380831799959\n ],\n [\n -94.4384765625,\n 36.80928470205937\n ],\n [\n -91.23046875,\n 38.238180119798635\n ],\n [\n -89.2529296875,\n 39.13006024213511\n ],\n [\n -88.154296875,\n 40.212440718286466\n ],\n [\n -87.5390625,\n 40.713955826286046\n ],\n [\n -87.6708984375,\n 41.47566020027821\n ],\n [\n -88.72558593749999,\n 42.4234565179383\n ],\n [\n -90.04394531249999,\n 42.779275360241904\n ],\n [\n -91.58203125,\n 43.068887774169625\n ],\n [\n -93.8232421875,\n 43.929549935614595\n ],\n [\n -95.1416015625,\n 44.77793589631623\n ],\n [\n -95.712890625,\n 46.31658418182218\n ],\n [\n -96.2841796875,\n 48.80686346108517\n ],\n [\n -96.416015625,\n 49.095452162534826\n ],\n [\n -99.1845703125,\n 49.95121990866204\n ],\n [\n -102.39257812499999,\n 50.90303283111257\n ],\n [\n -107.57812499999999,\n 51.86292391360244\n ],\n [\n -113.115234375,\n 53.27835301753182\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2014-02-08","publicationStatus":"PW","scienceBaseUri":"5351706ce4b05569d805a432","contributors":{"editors":[{"text":"Guntenspergen, Glenn R.","contributorId":113070,"corporation":false,"usgs":false,"family":"Guntenspergen","given":"Glenn R.","affiliations":[],"preferred":false,"id":509795,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Symstad, Amy J.","contributorId":11721,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","affiliations":[],"preferred":false,"id":490192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jonas, Jayne L.","contributorId":22680,"corporation":false,"usgs":true,"family":"Jonas","given":"Jayne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70096237,"text":"70096237 - 2014 - A Bayesian network approach to predicting nest presence of thefederally-threatened piping plover (Charadrius melodus) using barrier island features","interactions":[],"lastModifiedDate":"2017-01-11T15:39:37","indexId":"70096237","displayToPublicDate":"2014-03-01T11:05:55","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian network approach to predicting nest presence of thefederally-threatened piping plover (Charadrius melodus) using barrier island features","docAbstract":"Sea-level rise and human development pose significant threats to shorebirds, particularly for species that utilize barrier island habitat. The piping plover (Charadrius melodus) is a federally-listed shorebird that nests on barrier islands and rapidly responds to changes in its physical environment, making it an excellent species with which to model how shorebird species may respond to habitat change related to sea-level rise and human development. The uncertainty and complexity in predicting sea-level rise, the responses of barrier island habitats to sea-level rise, and the responses of species to sea-level rise and human development necessitate a modelling approach that can link species to the physical habitat features that will be altered by changes in sea level and human development. We used a Bayesian network framework to develop a model that links piping plover nest presence to the physical features of their nesting habitat on a barrier island that is impacted by sea-level rise and human development, using three years of data (1999, 2002, and 2008) from Assateague Island National Seashore in Maryland. Our model performance results showed that we were able to successfully predict nest presence given a wide range of physical conditions within the model’s dataset. We found that model predictions were more successful when the range of physical conditions included in model development was varied rather than when those physical conditions were narrow. We also found that all model predictions had fewer false negatives (nests predicted to be absent when they were actually present in the dataset) than false positives (nests predicted to be present when they were actually absent in the dataset), indicating that our model correctly predicted nest presence better than nest absence. These results indicated that our approach of using a Bayesian network to link specific physical features to nest presence will be useful for modelling impacts of sea-level rise- or human-related habitat change on barrier islands. We recommend that potential users of this method utilize multiple years of data that represent a wide range of physical conditions in model development, because the model performed less well when constructed using a narrow range of physical conditions. Further, given that there will always be some uncertainty in predictions of future physical habitat conditions related to sea-level rise and/or human development, predictive models will perform best when developed using multiple, varied years of data input.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2014.01.005","usgsCitation":"Gieder, K.D., Karpanty, S.M., Fraser, J., Catlin, D.H., Gutierrez, B.T., Plant, N.G., Turecek, A.M., and Thieler, E.R., 2014, A Bayesian network approach to predicting nest presence of thefederally-threatened piping plover (Charadrius melodus) using barrier island features: Ecological Modelling, v. 276, p. 38-50, https://doi.org/10.1016/j.ecolmodel.2014.01.005.","productDescription":"13 p.","startPage":"38","endPage":"50","ipdsId":"IP-053272","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2014.01.005","text":"Publisher Index Page"},{"id":283876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283872,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org//10.1016/j.ecolmodel.2014.01.005"}],"country":"United States","state":"Maryl","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.14,38.25 ], [ -75.14,38.34 ], [ -75.08,38.34 ], [ -75.08,38.25 ], [ -75.14,38.25 ] ] ] } } ] }","volume":"276","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53516eb2e4b05569d8059d1b","chorus":{"doi":"10.1016/j.ecolmodel.2014.01.005","url":"http://dx.doi.org/10.1016/j.ecolmodel.2014.01.005","publisher":"Elsevier BV","authors":"Gieder Katherina D., Karpanty Sarah M., Fraser James D., Catlin Daniel H., Gutierrez Benjamin T., Plant Nathaniel G., Turecek Aaron M., Robert Thieler E.","journalName":"Ecological Modelling","publicationDate":"3/2014","auditedOn":"3/22/2016","publiclyAccessibleDate":"1/24/2014"},"contributors":{"authors":[{"text":"Gieder, Katherina D.","contributorId":34426,"corporation":false,"usgs":true,"family":"Gieder","given":"Katherina","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":491488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":491490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraser, James D.","contributorId":86686,"corporation":false,"usgs":false,"family":"Fraser","given":"James D.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":491491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catlin, Daniel H.","contributorId":87859,"corporation":false,"usgs":false,"family":"Catlin","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":491492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gutierrez, Benjamin T.","contributorId":58670,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":491489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turecek, Aaron M.","contributorId":22190,"corporation":false,"usgs":true,"family":"Turecek","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491487,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491485,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70132332,"text":"70132332 - 2014 - Survival and metamorphosis of low-density populations of larval sea lampreys (Petromyzon marinus) in streams following lampricide treatment","interactions":[],"lastModifiedDate":"2020-12-31T18:37:25.847267","indexId":"70132332","displayToPublicDate":"2014-03-01T11:00:00","publicationYear":"2014","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}},"displayTitle":"Survival and metamorphosis of low-density populations of larval sea lampreys (Petromyzon marinus) in streams following lampricide treatment","title":"Survival and metamorphosis of low-density populations of larval sea lampreys (Petromyzon marinus) in streams following lampricide treatment","docAbstract":"Sea lamprey Petromyzon marinus control in the Great Lakes primarily involves application of lampricides to streams where larval production occurs to kill larvae prior to their metamorphosing and entering the lakes as parasites (juveniles). Because lampricides are not 100% effective, larvae that survive treatment maymetamorphose before streams are again treated. Larvae that survive treatment have not beenwidely studied, so their dynamics are notwell understood.Wetagged and released larvae in six Great Lake tributaries following lampricide treatment and estimated vital demographic rates using multistate tag-recovery models. Model-averaged larval survivals ranged from 56.8 to 57.6%. Model-averaged adult recovery rates, which were the product of juvenile survivals and adult capture probabilities, ranged from 6.8 to 9.3%. Using stochastic simulations, we estimated production of juvenile sea lampreys from a hypothetical population of treatment survivors under different growth conditions based on parameter estimates from this research. For fast-growing populations, juvenile production peaked 2 years after treatment. For slow-growing populations, juvenile production was approximately one-third that of fast-growing populations,with production not peaking until 4 years after treatment. Our results suggest that dynamics (i.e., survival, metamorphosis) of residual larval populations are very similar to those of untreated larval populations. Consequently, residual populations do not necessarily warrant special consideration for the purpose of sea lamprey control and can be ranked for treatment along with other populations. Consecutive lampricide treatments, which are under evaluation by the sea lamprey control program, would bemost effective for reducing juvenile production in large, fast-growing populations.
","language":"English","publisher":"Elsevier","publisherLocation":"Toronto, Canada","doi":"10.1016/j.jglr.2013.12.005","usgsCitation":"Johnson, N.S., Swink, W.D., Brenden, T.O., Slade, J.W., Steeves, T.B., Fodale, M.F., and Jones, M., 2014, Survival and metamorphosis of low-density populations of larval sea lampreys (Petromyzon marinus) in streams following lampricide treatment: Journal of Great Lakes Research, v. 40, no. 1, p. 155-163, https://doi.org/10.1016/j.jglr.2013.12.005.","productDescription":"9 p.","startPage":"155","endPage":"163","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052029","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":296056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.451416015625,\n 41.89409955811395\n ],\n [\n -85.836181640625,\n 42.771211138625894\n ],\n [\n -86.02294921875,\n 44.040218713142146\n ],\n [\n -84.693603515625,\n 45.44471679159555\n ],\n [\n -83.8037109375,\n 45.120052841530544\n ],\n [\n -83.60595703125,\n 44.49650533109348\n ],\n [\n -84.122314453125,\n 43.57243174740972\n ],\n [\n -83.671875,\n 43.46089378008257\n ],\n [\n -79.552001953125,\n 44.37098696297173\n ],\n [\n -79.661865234375,\n 45.18978009667531\n ],\n [\n -82.353515625,\n 46.392411189814645\n ],\n [\n -84.122314453125,\n 46.5739667965278\n ],\n [\n -84.66064453125,\n 46.255846818480315\n ],\n [\n -85.946044921875,\n 46.172222978455395\n ],\n [\n -87.34130859375,\n 45.93587062119052\n ],\n [\n -88.516845703125,\n 44.941473354802504\n ],\n [\n -87.6708984375,\n 44.308126684886126\n ],\n [\n -86.759033203125,\n 44.11125397357155\n ],\n [\n -86.484375,\n 42.819580715795915\n ],\n [\n -86.6162109375,\n 42.204107493733176\n ],\n [\n -86.451416015625,\n 41.89409955811395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d63de4b04d4b7dbd66af","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swink, William D.","contributorId":126758,"corporation":false,"usgs":false,"family":"Swink","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":6595,"text":"Retired USGS Fishery Biologist","active":true,"usgs":false}],"preferred":false,"id":522792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, Travis O.","contributorId":126759,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slade, Jeffrey W.","contributorId":126760,"corporation":false,"usgs":false,"family":"Slade","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[{"id":6597,"text":"U.S. Fish and Wildlife Service, Ludington Biological Station","active":true,"usgs":false}],"preferred":false,"id":522794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steeves, Todd B.","contributorId":126761,"corporation":false,"usgs":false,"family":"Steeves","given":"Todd","email":"","middleInitial":"B.","affiliations":[{"id":6598,"text":"Department of Fisheries and Oceans, Canada, Sea Lamprey Control Centre","active":true,"usgs":false}],"preferred":false,"id":522795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fodale, Michael F.","contributorId":126762,"corporation":false,"usgs":false,"family":"Fodale","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":522796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Michael L.","contributorId":126763,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522797,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70146648,"text":"70146648 - 2014 - Wetland Accretion Rate Model of Ecosystem Resilience (WARMER) and its application to habitat sustainability for endangered species in the San Francisco Estuary","interactions":[],"lastModifiedDate":"2017-08-23T09:10:02","indexId":"70146648","displayToPublicDate":"2014-03-01T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Wetland Accretion Rate Model of Ecosystem Resilience (WARMER) and its application to habitat sustainability for endangered species in the San Francisco Estuary","docAbstract":"Salt marsh faunas are constrained by specific habitat requirements for marsh elevation relative to sea level and tidal range. As sea level rises, changes in relative elevation of the marsh plain will have differing impacts on the availability of habitat for marsh obligate species. The Wetland Accretion Rate Model for Ecosystem Resilience (WARMER) is a 1-D model of elevation that incorporates both biological and physical processes of vertical marsh accretion. Here, we use WARMER to evaluate changes in marsh surface elevation and the impact of these elevation changes on marsh habitat for specific species of concern. Model results were compared to elevation-based habitat criteria developed for marsh vegetation, the endangered California clapper rail (Rallus longirostris obsoletus), and the endangered salt marsh harvest mouse (Reithrodontomys raviventris) to determine the response of marsh habitat for each species to predicted >1-m sea-level rise by 2100. Feedback between vertical accretion mechanisms and elevation reduced the effect of initial elevation in the modeled scenarios. Elevation decreased nonlinearly with larger changes in elevation during the latter half of the century when the rate of sea-level rise increased. Model scenarios indicated that changes in elevation will degrade habitat quality within salt marshes in the San Francisco Estuary, and degradation will accelerate in the latter half of the century as the rate of sea-level rise accelerates. A sensitivity analysis of the model results showed that inorganic sediment accumulation and the rate of sea-level rise had the greatest influence over salt marsh sustainability.
","language":"English","publisher":"Estuarine Research Federation","publisherLocation":"Port Republic, MD","doi":"10.1007/s12237-013-9694-0","usgsCitation":"Swanson, K.M., Drexler, J., Schoellhamer, D., Thorne, K.M., Casazza, M.L., Overton, C.T., Callaway, J.C., and Takekawa, J.Y., 2014, Wetland Accretion Rate Model of Ecosystem Resilience (WARMER) and its application to habitat sustainability for endangered species in the San Francisco Estuary: Estuaries and Coasts, v. 37, no. 2, p. 476-492, https://doi.org/10.1007/s12237-013-9694-0.","productDescription":"17 p.","startPage":"476","endPage":"492","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036910","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.50579833984375,\n 38.11727165830543\n ],\n [\n -122.53051757812499,\n 37.8271414168374\n ],\n [\n -122.53601074218751,\n 37.76420119453823\n ],\n [\n -122.36846923828125,\n 37.58594229860422\n ],\n [\n -122.00592041015626,\n 37.411618795843026\n ],\n [\n -121.89605712890624,\n 37.448696585910376\n ],\n [\n -122.0416259765625,\n 37.54022177661216\n ],\n [\n -122.0745849609375,\n 37.612055711412815\n ],\n [\n -122.25585937500001,\n 37.80978395301097\n ],\n [\n -122.310791015625,\n 37.97234987199528\n ],\n [\n -122.22290039062499,\n 38.03078569382294\n ],\n [\n -122.28057861328124,\n 38.30502529053749\n ],\n [\n -122.50579833984375,\n 38.11727165830543\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"5536234ce4b0b22a15807aca","contributors":{"authors":[{"text":"Swanson, Kathleen M. kathswan@usgs.gov","contributorId":3757,"corporation":false,"usgs":true,"family":"Swanson","given":"Kathleen","email":"kathswan@usgs.gov","middleInitial":"M.","affiliations":[{"id":34319,"text":"Mission-Aransas National Estuarine Research Reserve, Port Aransas, TX, USA","active":true,"usgs":false}],"preferred":false,"id":545237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":1659,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","email":"jdrexler@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":545240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Callaway, John C.","contributorId":88647,"corporation":false,"usgs":true,"family":"Callaway","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":545243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":545244,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70129256,"text":"70129256 - 2014 - The key role of dry days in changing regional climate and precipitation regimes","interactions":[],"lastModifiedDate":"2014-10-21T10:22:59","indexId":"70129256","displayToPublicDate":"2014-03-01T10:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"The key role of dry days in changing regional climate and precipitation regimes","docAbstract":"Future changes in the number of dry days per year can either reinforce or counteract projected increases in daily precipitation intensity as the climate warms. We analyze climate model projected changes in the number of dry days using 28 coupled global climate models from the Coupled Model Intercomparison Project, version 5 (CMIP5). We find that the Mediterranean Sea region, parts of Central and South America, and western Indonesia could experience up to 30 more dry days per year by the end of this century. We illustrate how changes in the number of dry days and the precipitation intensity on precipitating days combine to produce changes in annual precipitation, and show that over much of the subtropics the change in number of dry days dominates the annual changes in precipitation and accounts for a large part of the change in interannual precipitation variability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Scientific Reports","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep04364","usgsCitation":"Polade, S., Pierce, D.W., Cayan, D.R., Gershunov, A., and Dettinger, M., 2014, The key role of dry days in changing regional climate and precipitation regimes: Scientific Reports, v. 4, 4363; 8 p., https://doi.org/10.1038/srep04364.","productDescription":"4363; 8 p.","numberOfPages":"8","ipdsId":"IP-055508","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep04364","text":"Publisher Index Page"},{"id":295528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295491,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/srep04364"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2014-03-13","publicationStatus":"PW","scienceBaseUri":"544775d3e4b0f888a81b8353","contributors":{"authors":[{"text":"Polade, Suraj","contributorId":29337,"corporation":false,"usgs":true,"family":"Polade","given":"Suraj","affiliations":[],"preferred":false,"id":503577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, David W.","contributorId":38492,"corporation":false,"usgs":true,"family":"Pierce","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":503578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":503575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gershunov, Alexander","contributorId":45238,"corporation":false,"usgs":true,"family":"Gershunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":8019,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":503576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70095419,"text":"70095419 - 2014 - Toxicity and accumulation of silver nanoparticles during development of the marine polychaete Platynereis dumerilii","interactions":[],"lastModifiedDate":"2018-09-18T16:03:16","indexId":"70095419","displayToPublicDate":"2014-03-01T10:03:35","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Toxicity and accumulation of silver nanoparticles during development of the marine polychaete Platynereis dumerilii","title":"Toxicity and accumulation of silver nanoparticles during development of the marine polychaete Platynereis dumerilii","docAbstract":"Pollutants affecting species at the population level generate ecological instability in natural systems. The success of early life stages, such as those of aquatic invertebrates, is highly affected by adverse environmental conditions. Silver released into the environment from emerging nanotechnology represents such a threat. Sediments are sinks for numerous pollutants, which aggregate and/or associate with depositing suspended particles. Deposit feeder such as the annelid Platynereis dumerilii, which has a large associated literature on its development, is an excellent model organism for exposure studies in coastal environments. We exposed eggs, larvae, juveniles and adults of P. dumerilii to various concentrations of citrate (cit-Ag NPs) or humic acid (HA-Ag NPs) capped silver nanoparticles (Ag NPs) as well to dissolved Ag (added as AgNO3). We showed that mortality and abnormal development rate increased with younger life stages. While adults and juvenile were the most tolerant life stages, fertilized eggs were highly sensitive to AgNO3, cit-Ag NPs and HA-Ag NPs. Exposures to HA-Ag NPs triggered the highest cute toxicity responses in P. dumerilii and in most cases both Ag NPs were more toxic than AgNO3. Uptake rate of HA-Ag NPs in adult worms was also higher than from other Ag forms, consistent with toxicity to other life stages. The early stages of the life cycle of marine coastal organisms are more affected by Ag NPs than the juvenile or adult life stages, indicating that exposure experiments at the larval level contribute to realistic eco-toxicological studies in aquatic environments.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.01.039","usgsCitation":"Garcia-Alonso, J., Rodriguez-Sanchez, N., Misra, S.K., Valsami-Jones, E., Croteau, M., Luoma, S.N., and Rainbow, P.S., 2014, Toxicity and accumulation of silver nanoparticles during development of the marine polychaete Platynereis dumerilii: Science of the Total Environment, v. 476-477, p. 688-695, https://doi.org/10.1016/j.scitotenv.2014.01.039.","productDescription":"8 p.","startPage":"688","endPage":"695","ipdsId":"IP-053939","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":283209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283208,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2014.01.039"}],"volume":"476-477","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351706ae4b05569d805a417","contributors":{"authors":[{"text":"Garcia-Alonso, Javier","contributorId":65002,"corporation":false,"usgs":true,"family":"Garcia-Alonso","given":"Javier","email":"","affiliations":[],"preferred":false,"id":491202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez-Sanchez, Neus","contributorId":94974,"corporation":false,"usgs":true,"family":"Rodriguez-Sanchez","given":"Neus","email":"","affiliations":[],"preferred":false,"id":491205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Misra, Superb K.","contributorId":91231,"corporation":false,"usgs":true,"family":"Misra","given":"Superb","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":491204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valsami-Jones, Eugenia","contributorId":26057,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"Eugenia","email":"","affiliations":[],"preferred":false,"id":491201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croteau, Marie-Noële","contributorId":22863,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noële","affiliations":[],"preferred":false,"id":491200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rainbow, Philip S.","contributorId":83025,"corporation":false,"usgs":true,"family":"Rainbow","given":"Philip","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":491203,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70129229,"text":"70129229 - 2014 - Water resources management in the Ganges Basin: a comparison of three strategies for conjunctive use of groundwater and surface water","interactions":[],"lastModifiedDate":"2014-10-21T10:11:30","indexId":"70129229","displayToPublicDate":"2014-03-01T10:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3721,"text":"Water Resources Management","onlineIssn":"1573-1650","printIssn":"0920-4741","active":true,"publicationSubtype":{"id":10}},"title":"Water resources management in the Ganges Basin: a comparison of three strategies for conjunctive use of groundwater and surface water","docAbstract":"The most difficult water resources management challenge in the Ganges Basin is the imbalance between water demand and seasonal availability. More than 80 % of the annual flow in the Ganges River occurs during the 4-month monsoon, resulting in widespread flooding. During the rest of the year, irrigation, navigation, and ecosystems suffer because of water scarcity. Storage of monsoonal flow for utilization during the dry season is one approach to mitigating these problems. Three conjunctive use management strategies involving subsurface water storage are evaluated in this study: Ganges Water Machine (GWM), Pumping Along Canals (PAC), and Distributed Pumping and Recharge (DPR). Numerical models are used to determine the efficacy of these strategies. Results for the Indian State of Uttar Pradesh (UP) indicate that these strategies create seasonal subsurface storage from 6 to 37 % of the yearly average monsoonal flow in the Ganges exiting UP over the considered range of conditions. This has clear implications for flood reduction, and each strategy has the potential to provide irrigation water and to reduce soil waterlogging. However, GWM and PAC require significant public investment in infrastructure and management, as well as major shifts in existing water use practices; these also involve spatially-concentrated pumping, which may induce land subsidence. DPR also requires investment and management, but the distributed pumping is less costly and can be more easily implemented via adaptation of existing water use practices in the basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11269-014-0537-y","usgsCitation":"Khan, M.R., Voss, C.I., Yu, W., and Michael, H.A., 2014, Water resources management in the Ganges Basin: a comparison of three strategies for conjunctive use of groundwater and surface water: Water Resources Management, v. 28, no. 5, p. 1235-1250, https://doi.org/10.1007/s11269-014-0537-y.","productDescription":"16 p.","startPage":"1235","endPage":"1250","numberOfPages":"16","ipdsId":"IP-053808","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473141,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://documents.worldbank.org/curated/en/2016/03/26044370/water-resources-management-ganges-basin-comparison-three-strategies-conjunctive-use-groundwater-surface-water","text":"External Repository"},{"id":295524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295486,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11269-014-0537-y"}],"country":"Bangladesh, India, Nepal, Tibet","otherGeospatial":"Ganges Basin","volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-03-09","publicationStatus":"PW","scienceBaseUri":"544775d5e4b0f888a81b835a","contributors":{"authors":[{"text":"Khan, Mahfuzur R.","contributorId":36477,"corporation":false,"usgs":true,"family":"Khan","given":"Mahfuzur","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Winston","contributorId":84293,"corporation":false,"usgs":true,"family":"Yu","given":"Winston","email":"","affiliations":[],"preferred":false,"id":503563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, Holly A.","contributorId":29336,"corporation":false,"usgs":true,"family":"Michael","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503561,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70132442,"text":"70132442 - 2014 - Suppressing bullfrog larvae with carbon dioxide","interactions":[],"lastModifiedDate":"2020-12-31T18:45:44.393254","indexId":"70132442","displayToPublicDate":"2014-03-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Suppressing bullfrog larvae with carbon dioxide","docAbstract":"Current management strategies for the control and suppression of the American Bullfrog (Lithobates catesbeianus = Rana catesbeiana Shaw) and other invasive amphibians have had minimal effect on their abundance and distribution. This study evaluates the effects of carbon dioxide (CO2) on pre- and prometamorphic Bullfrog larvae. Bullfrogs are a model organism for evaluating potential suppression agents because they are a successful invader worldwide. From experimental trials we estimated that the 24-h 50% and 99% lethal concentration (LC50 and LC99) values for Bullfrog larvae were 371 and 549 mg CO2/L, respectively. Overall, larvae that succumbed to experimental conditions had a lower body condition index than those that survived. We also documented sublethal changes in blood chemistry during prolonged exposure to elevated CO2. Specifically, blood pH decreased by more than 0.5 pH units after 9 h of exposure and both blood partial pressure of CO2 (pCO2) and blood glucose increased. These findings suggest that CO2 treatments can be lethal to Bullfrog larvae under controlled laboratory conditions. We believe this work represents the necessary foundation for further consideration of CO2 as a potential suppression agent for one of the most harmful invaders to freshwater ecosystems.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","publisherLocation":"Athen, OH","doi":"10.1670/12-126","usgsCitation":"Abbey-Lambert, M., Ray, A., Layhee, M.J., Densmore, C.L., Sepulveda, A., Gross, J.A., and Watten, B.J., 2014, Suppressing bullfrog larvae with carbon dioxide: Journal of Herpetology, v. 48, no. 1, p. 59-66, https://doi.org/10.1670/12-126.","productDescription":"8 p.","startPage":"59","endPage":"66","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037335","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d63be4b04d4b7dbd66a9","contributors":{"authors":[{"text":"Abbey-Lambert, Mark 0000-0001-9828-0159","orcid":"https://orcid.org/0000-0001-9828-0159","contributorId":127020,"corporation":false,"usgs":false,"family":"Abbey-Lambert","given":"Mark","email":"","affiliations":[{"id":6766,"text":"former USGS NOROCK Step-Student","active":true,"usgs":false}],"preferred":false,"id":522888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew","contributorId":101972,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","affiliations":[],"preferred":false,"id":522883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":522886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":522882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":522885,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}