{"pageNumber":"657","pageRowStart":"16400","pageSize":"25","recordCount":165270,"records":[{"id":70208455,"text":"70208455 - 2019 - Measurement of cyanobacteria bloom magnitude using satellite remote sensing","interactions":[],"lastModifiedDate":"2020-02-11T07:47:17","indexId":"70208455","displayToPublicDate":"2019-12-04T07:43:56","publicationYear":"2019","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":"Measurement of cyanobacteria bloom magnitude using satellite remote sensing","docAbstract":"Cyanobacterial harmful algal blooms (cyanoHABs) are a serious environmental, water quality and public health issue worldwide because of their ability to form dense biomass and produce toxins. Models and algorithms have been developed to detect and quantify cyanoHABs biomass using remotely sensed data but not for quantifying bloom magnitude, information that would guide water quality management decisions. We propose a method to quantify seasonal and annual cyanoHAB magnitude in lakes and reservoirs. The magnitude is the spatio-temporal mean of weekly or biweekly maximum cyanobacteria biomass for the season or year. CyanoHAB biomass is quantified using a standard reflectance spectral shape-based algorithm that uses data from Medium Resolution Imaging Spectrometer (MERIS). We demonstrate the method to quantify annual and seasonal cyanoHAB magnitude in Florida and Ohio respectively during 2003-2011 and rank the lakes based on median magnitude over the study period. The new method can be applied to Ocean Land Color Imager (OLCI) on Sentinel-3 data for assessment of cyanoHABs and the change over time, even with issues such as variable data acquisition frequency or sensor calibration uncertainties between satellites. CyanoHAB magnitude can support monitoring and management decision-making for recreational and drinking water sources.","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-54453-y","usgsCitation":"Mishra, S., Stumpf, R.P., Schaeffer, B., Werdell, P.J., Loftin, K., and Meredith, A., 2019, Measurement of cyanobacteria bloom magnitude using satellite remote sensing: Scientific Reports, no. 1, 18310, 17 p., https://doi.org/10.1038/s41598-019-54453-y.","productDescription":"18310, 17 p.","ipdsId":"IP-111006","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":459026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-54453-y","text":"Publisher Index Page"},{"id":372207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, 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Understanding what environmental and biological factors influence Sea Lamprey capture in tributaries is crucial to developing efficient trapping methods and reliable abundance estimates. We analyzed data from trapping sites located on eight Great Lakes tributaries using Cormack-Jolly-Seber models and examined how water temperature, discharge, sex, and length influenced Sea Lamprey apparent survival and capture probability. Sea Lamprey apparent survival was negatively associated with water temperature in all tributaries. Additionally, the odds of small Sea Lamprey (≤45 cm) remaining available to capture were 39% less (95% CI: 63% decrease – 1% increase) than large (>45 cm) lamprey odds. These observed relationships were used to investigate if bias in abundance estimates using the pooled-Petersen estimator and Jolly-Seber models was expected to be similar across trapping locations or influenced by variable environmental conditions and biological traits. Pooled-Petersen abundance estimates had a positive bias when datasets were generated from simulated populations with empirical relationships between environmental characteristics and catchability. The degree of bias depended upon changes in stream warming patterns and was not consistent among trapping locations. Jolly-Seber models using data from either weekly-batch-marked or uniquely-marked individuals generated abundance estimate with low bias when data quality was high, but performed poorly in scenarios with few recaptured Sea Lamprey. 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Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 144 million barrels of shale oil and 559 billion cubic feet of shale gas in the Mississippian Delle Phosphatic Member of the Woodman Formation in the Eastern Great Basin Province of Nevada, Utah, and Idaho.

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Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-12-03","noUsgsAuthors":false,"publicationDate":"2019-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":773032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773037,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773038,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228015,"text":"70228015 - 2019 - Assessment of the American woodcock singing-ground survey zone timing and coverage","interactions":[],"lastModifiedDate":"2022-02-03T17:09:32.701388","indexId":"70228015","displayToPublicDate":"2019-12-03T11:04:39","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessment of the American woodcock singing-ground survey zone timing and coverage","docAbstract":"

The American woodcock (Scolopax minor; hereafter, woodcock) Singing-Ground Survey (SGS) was developed to inform management decisions by monitoring changes in the relative abundance of woodcock. The timing of the designated survey windows was designed to count resident woodcock while minimizing counting of migrating woodcock. Since the implementation of the SGS in 1968, concerns over survey protocols that may bias data have been raised and investigated; however, the extent of survey coverage and the timing of the survey window zones have not been critically investigated. We used 3 years of data collected from male and female woodcock marked with satellite tags to assess the extent of survey coverage and the timing of the SGS survey windows relative to presence of woodcock. SGS coverage encompassed the majority of woodcock breeding-period sites (locations where marked woodcock returned to in spring) within the U.S. (n = 17, 92%) and approximately half of the breeding-period sites in Canada (n = 6, 43%). Thirteen of the 37 monitored woodcock with known breeding-period site arrival dates (35%) were migrating through a survey zone during an active survey window, all in the northernmost 4 of 5 SGS zones. Thirteen woodcock arrived at breeding-period sites after the start of surveys, and all but one of these was located in the northernmost 2 zones. The combination of migration through a SGS zone during the survey window and arrival at breeding-period sites after the beginning of the survey window in northern zones may result in the SGS weighing too heavily the contribution of routes in the southern portion of the primary breeding range, while weighing too lightly the routes in the northern portion of the primary breeding range. We suggest that additional information is necessary to evaluate whether current survey windows are sufficient, or whether they need to be changed.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American woodcock symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh American Woodcock Symposium","conferenceDate":"Oct 24-27, 2017","conferenceLocation":"Roscommon, MI","language":"English","publisher":"University of Minnesota Libraries Publishing","usgsCitation":"Moore, J., Cooper, T.R., Rau, R.D., Andersen, D.E., Duguay, J., Stewart, C.A., and Krementz, D.G., 2019, Assessment of the American woodcock singing-ground survey zone timing and coverage, in Proceedings of the eleventh American woodcock symposium, v. 11, Roscommon, MI, Oct 24-27, 2017.","productDescription":"12 p.","endPage":"181","numberOfPages":"192","ipdsId":"IP-096403","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395367,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.lib.umn.edu/index.php/aws/article/view/2385"}],"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 -63.896484375,\n 43.51668853502906\n ],\n [\n -59.0625,\n 46.13417004624326\n ],\n [\n -66.181640625,\n 49.38237278700955\n ],\n [\n -71.54296874999999,\n 51.12421275782688\n ],\n [\n -91.318359375,\n 51.6180165487737\n ],\n [\n -98.4375,\n 51.508742458803326\n ],\n [\n -96.240234375,\n 45.767522962149876\n ],\n [\n -94.306640625,\n 36.59788913307022\n ],\n [\n -80.595703125,\n 39.70718665682654\n ],\n [\n -63.896484375,\n 43.51668853502906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, J. D.","contributorId":274309,"corporation":false,"usgs":false,"family":"Moore","given":"J. D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":832894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Thomas R.","contributorId":191468,"corporation":false,"usgs":false,"family":"Cooper","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rau, Rebecca D.","contributorId":256726,"corporation":false,"usgs":false,"family":"Rau","given":"Rebecca","email":"","middleInitial":"D.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":832896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duguay, J. P","contributorId":274311,"corporation":false,"usgs":false,"family":"Duguay","given":"J. P","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":832898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, C. Alan","contributorId":274312,"corporation":false,"usgs":false,"family":"Stewart","given":"C.","email":"","middleInitial":"Alan","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832900,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227671,"text":"70227671 - 2019 - Estimating density and effective area surveyed for American woodcock","interactions":[],"lastModifiedDate":"2022-01-26T16:08:30.891006","indexId":"70227671","displayToPublicDate":"2019-12-03T10:03:59","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating density and effective area surveyed for American woodcock","docAbstract":"

The American Woodcock (Scolopax minor; hereafter, woodcock) Singing-ground Survey (SGS) is conducted annually during the woodcock breeding season, and survey points along survey routes are set 0.4 mile (0.65 km) apart to avoid counting individual birds from >1 listening location. The effective area surveyed (EAS) at a listening point is not known, and may vary as a function of land-cover type or other factors. To define the relationship describing distance between vocalizing woodcock and an observer and how cover types influence that relationship, we broadcast a recording of woodcock vocalizations in 2 land-cover types (forest and field) at varying distance. We evaluated the proportion of call broadcasts detected as a function of distance and fit regression curves to detection data to estimate a distance (r*) where the area above the curve at distances <r* was equal to the area under the curve at distances >r*, which allowed determination of the radius of an area where detection probability was effectively 1.0. This EAS had a radius (r*) of 198 m for forest, 384 m for field, and 309 m for both of these land-cover types combined, and an estimated size of 12.3 ha for forest, 46.3 ha for field, and 30.0 ha for both land-cover types combined. We used this information to estimate density of displaying male woodcock based on counts from the SGS in east-central Minnesota that incorporated variation in EAS, probability of detection, survey date, and survey route. Our density estimates (5.0 birds/100 ha in 2009 and 7.1 birds/100 ha in 2010) represent the highest density of singing male American woodcock yet reported, and indicated a substantive increase in density between years.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American woodcock symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh American Woodcock Symposium","conferenceDate":"Oct 24-27, 2017","conferenceLocation":"Roscommon, MI","language":"English","publisher":"University of Minnesota Libraries Publishing","doi":"10.24926/AWS.0125","usgsCitation":"Bergh, S.M., and Andersen, D.E., 2019, Estimating density and effective area surveyed for American woodcock, in Proceedings of the eleventh American woodcock symposium, v. 11, Roscommon, MI, Oct 24-27, 2017, p. 193-199, https://doi.org/10.24926/AWS.0125.","productDescription":"7 p.","startPage":"193","endPage":"199","ipdsId":"IP-057491","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Stefanie M.","contributorId":272056,"corporation":false,"usgs":false,"family":"Bergh","given":"Stefanie","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":831784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227628,"text":"70227628 - 2019 - Detection probability and occupancy of American woodcock during Singing-ground surveys","interactions":[],"lastModifiedDate":"2022-01-21T15:17:00.679985","indexId":"70227628","displayToPublicDate":"2019-12-03T09:08:52","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Detection probability and occupancy of American woodcock during Singing-ground surveys","docAbstract":"

The Singing-ground Survey (SGS) was designed to exploit the conspicuous breeding-season display of male American woodcock (Scolopax minor; hereafter, woodcock) to monitor these otherwise inconspicuous birds. The SGS was standardized in 1968 and has since been conducted annually to derive an index of abundance and population trend. Counts of singing male woodcock on the SGS have generally declined through time, but without knowledge of the relationship among counts, woodcock abundance, and the factors affecting detection, considerable uncertainty remains in interpretation of SGS data. Using modified SGS protocols, we surveyed SGS routes in Pine County, Minnesota, in 2009 and 2010 and developed models to assess factors associated with detection probability and estimated occupancy. The intercept-only model (i.e., constant detection and occupancy probabilities across sites and no covariates) included overall detection probability of 0.59 (SE = 0.018) in 2009 and 0.66 (SE = 0.017) in 2010 with an occupancy estimate of 0.74 (SE = 0.049) in 2009 and 0.81 (SE = 0.044) in 2010. The best-supported model of detection probability for both years combined included detection as a function of woodcock abundance, observer, date, disturbance level (i.e., ambient noise that interfered with detecting woodcock), and wind speed. High wind speeds were negatively related to detection, different observers had different detection probabilities, date was quadratically related to detection (indicating a mid-period peak in detection), and high woodcock abundance and low disturbance levels were positively related to detection. We provide suggestions for incorporating these resulting into SGS protocol and analyses.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American woodcock symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh American Woodcock Symposium","conferenceDate":"Oct 24-27, 2017","conferenceLocation":"Roscommon, MI","language":"English","publisher":"University of Minnesota Libraries Publishing","doi":"10.24926/AWS.0126","usgsCitation":"Bergh, S.M., and Andersen, D.E., 2019, Detection probability and occupancy of American woodcock during Singing-ground surveys, in Proceedings of the eleventh American woodcock symposium, Roscommon, MI, Oct 24-27, 2017, p. 200-208, https://doi.org/10.24926/AWS.0126.","productDescription":"9 p.","startPage":"200","endPage":"208","ipdsId":"IP-043992","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Stefanie M.","contributorId":272056,"corporation":false,"usgs":false,"family":"Bergh","given":"Stefanie","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":831415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208188,"text":"70208188 - 2019 - Comparing live-capture methods for nutria: single- versus multiple-capture cage traps","interactions":[],"lastModifiedDate":"2020-01-30T06:35:07","indexId":"70208188","displayToPublicDate":"2019-12-02T19:50:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Comparing live-capture methods for nutria: single- versus multiple-capture cage traps","docAbstract":"Herbivory and burrowing by nutria (Myocastor coypus) cause substantial ecological\nand economic damage. Trapping is a common, effective practice for reducing nutria damage;\nhowever, trapping approaches must continually be adapted to keep pace with evolving animal\nwelfare and ethical issues and to more effectively target pest species of interest. Our objective\nwas to evaluate the efficacy of 2 nonlethal trap types for nutria: single-capture (SCT) and\nmulti-capture (MCT) cage traps. We established 3 MCTs and 3 SCTs at each of 7 sites on\na 10,500-ha mixed-use island located 15 km northwest of Portland, Oregon, USA. We prebaited using carrots, apples, and sweet potatoes for ≥3 consecutive days before trapping.\nWe checked traps daily, and an infrared motion camera was established near each MCT to\ndocument activity. We captured 26 nutria over 724 trap nights, and all captures occurred at 4\nsites. Nutria captured by MCTs were larger (6.38 ± 1.68 [SD] kg, n = 10) than nutria captured\nby SCTs (4.21 ± 2.48 [SD] kg, n = 16; F1,25 = 5.51, P = 0.02). Camera surveillance showed\nmultiple nutria present in an MCT on ≥2 occasions, although individuals <3.7 kg were able to\nescape. The MCTs were more expensive, larger, heavier, and more difficult to transport and\ndeploy. However, MCTs were less likely to capture nontargets. Improvements to MCT door\ndesign would likely increase multiple catch opportunities and decrease escapes.","language":"English","publisher":"Utah State University","doi":"10.26077/4ssf-gp94","usgsCitation":"Sheffels, T.R., Carter, J., Sytsma, M.S., and Taylor, J.D., 2019, Comparing live-capture methods for nutria: single- versus multiple-capture cage traps: Human-Wildlife Interactions, v. 13, no. 3, p. 394-399, https://doi.org/10.26077/4ssf-gp94.","productDescription":"9, 6 p.","startPage":"394","endPage":"399","ipdsId":"IP-106133","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437265,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZWHABB","text":"USGS data release","linkHelpText":"Comparing live capture methods for nutria (Myocastor coypus): single versus multicatch traps"},{"id":371750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.98370361328124,\n 45.537136680398596\n ],\n [\n -122.6348876953125,\n 45.537136680398596\n ],\n [\n -122.6348876953125,\n 45.7579424547621\n ],\n [\n -122.98370361328124,\n 45.7579424547621\n ],\n [\n -122.98370361328124,\n 45.537136680398596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sheffels, Trevor R.","contributorId":140176,"corporation":false,"usgs":false,"family":"Sheffels","given":"Trevor","email":"","middleInitial":"R.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":780876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Jacoby 0000-0003-0110-0284","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":221989,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":780875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sytsma, Mark S.","contributorId":218420,"corporation":false,"usgs":false,"family":"Sytsma","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":780877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Jimmy D.","contributorId":140178,"corporation":false,"usgs":false,"family":"Taylor","given":"Jimmy","email":"","middleInitial":"D.","affiliations":[{"id":13402,"text":"USDA APHIS Wildlife Services","active":true,"usgs":false}],"preferred":false,"id":780878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206985,"text":"70206985 - 2019 - Observations of the spawning ecology of the imperiled Clear Lake Hitch Lavinia exilicauda chi","interactions":[],"lastModifiedDate":"2019-12-03T06:44:18","indexId":"70206985","displayToPublicDate":"2019-12-02T15:08:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"Observations of the spawning ecology of the imperiled Clear Lake Hitch Lavinia exilicauda chi","docAbstract":"Migrations for the purposes of reproduction are widely documented across the animal kingdom and are particularly common in fishes and other aquatic organisms (Dingle 2014). One important migration strategy in fishes is potamodromy, which is the movement from one location to another entirely within freshwater (Morais and Daverat 2016). Thurow (2016) estimated that worldwide there are approximately 13,000 potamodromous fish species. Potamodromous species as a group are also relatively imperiled, owing to the loss or destruction of the diversity of habitats often required for successful reproduction and recruitment (Thurow 2016). \nThe Clear Lake Hitch Lavinia exilicauda chi is an imperiled potamodromous cyprinid that is endemic to a single freshwater lake: Clear Lake, Lake County, California, USA. The species lives to approximately six years of age and attains a maximum size of approximately 350 mm fork length. As juveniles and adults, it feeds primarily on macroinvertebrates, including insects and zooplankton (Geary and Moyle 1980). Formerly highly abundant and a staple food for the Pomo tribes of the Clear Lake region, Clear Lake Hitch abundance is believed to have declined substantially from historical levels (California Department of Fish and Wildlife [CDFW] 2014). Presently, Clear Lake Hitch is listed as threatened under the California Endangered Species Act and has been petitioned for listing under the U.S. Endangered Species Act. \nThe purpose of this paper is to document fortuitous observations of Clear Lake Hitch spawning and holding in stream habitat to generate baseline information that is needed to manage the species. The observations facilitated addressing the following questions (1) under what water temperature and flow conditions does spawning occur?, (2) what are the major habitat features where spawning takes place?, (3) what are the fundamental aspects of spawning behavior?, (4) what is the immediate fate of eggs deposited during spawning?, and (5) when not engaged in spawning, what type of stream habitat is used by Clear Lake Hitch and do they actively feed?","language":"English","publisher":"California Department of Fish and Wildlife","collaboration":"USFWS","usgsCitation":"Feyrer, F.V., 2019, Observations of the spawning ecology of the imperiled Clear Lake Hitch Lavinia exilicauda chi: California Fish and Game, v. 105, no. 4, p. 225-232.","productDescription":"8 p.","startPage":"225","endPage":"232","ipdsId":"IP-107702","costCenters":[{"id":154,"text":"California Water Science 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Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3073","displayTitle":"Reach-Scale Monitoring and Modeling of Rivers—Expanding Hydraulic Data Collection Beyond the Cross Section","title":"Reach-scale monitoring and modeling of rivers--Expanding hydraulic data collection beyond the cross section","docAbstract":"For over 125 years, the U.S. Geological Survey streamgage network has provided important\nhydrologic information about rivers and streams throughout the Nation. Traditional streamgage\nmethods provide reliable stage and streamflow data but typically only monitor stage at a single location in a river and require frequent calibration streamflow measurements. Direct measurements are not always feasible, therefore improved sensors and methods\nare being deployed at gages to better document streamflow conditions between measurements. The technology and techniques of reach-scale monitoring allow the U.S. Geological Survey to collect more data across the full range of streamflow without requiring that a hydrographer be present. The U.S. Geological Survey Arizona Water Science Center’s reach-scale monitoring program will enhance the Arizona streamgage network with more accurate streamflow measurements and provide more extensive streamflow records and geomorphological\ndatasets for our agency partners and the public. Reach-scale monitoring installations and techniques are applicable to streams of the western United States and likely throughout the Nation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193073","collaboration":"Prepared in cooperation with Arizona Department of Transportation","usgsCitation":"Forbes, B.T., Bunch, C.E., DeBenedetto, G., Shaw, C.J., and Gungle, B., 2019, Reach-scale monitoring and modeling of rivers—Expanding hydraulic data collection beyond the cross section: U.S. Geological Survey Fact Sheet 2019–3073, 6p., https://doi.org/10.3133/fs20193073.","productDescription":"6 p.","ipdsId":"IP-075529","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":369839,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3073/fs20193073.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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\"}}]}","contact":"

Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-12-02","noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Forbes, Brandon T. 0000-0003-4051-0593 bforbes@usgs.gov","orcid":"https://orcid.org/0000-0003-4051-0593","contributorId":213549,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon","email":"bforbes@usgs.gov","middleInitial":"T.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Claire E. 0000-0002-1360-8598 cebunch@usgs.gov","orcid":"https://orcid.org/0000-0002-1360-8598","contributorId":150240,"corporation":false,"usgs":true,"family":"Bunch","given":"Claire E.","email":"cebunch@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":776488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBenedetto, Geoffrey 0000-0003-0696-4567 gdebened@usgs.gov","orcid":"https://orcid.org/0000-0003-0696-4567","contributorId":220988,"corporation":false,"usgs":true,"family":"DeBenedetto","given":"Geoffrey","email":"gdebened@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Corey J. 0000-0002-7794-7513","orcid":"https://orcid.org/0000-0002-7794-7513","contributorId":220989,"corporation":false,"usgs":false,"family":"Shaw","given":"Corey","email":"","middleInitial":"J.","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":776491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gungle, Bruce 0000-0001-6406-1206 bgungle@usgs.gov","orcid":"https://orcid.org/0000-0001-6406-1206","contributorId":107628,"corporation":false,"usgs":true,"family":"Gungle","given":"Bruce","email":"bgungle@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":776489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207515,"text":"70207515 - 2019 - A leg-hold noose capture method for Brent Geese Branta bernicla at staging or wintering sites","interactions":[],"lastModifiedDate":"2019-12-22T13:32:23","indexId":"70207515","displayToPublicDate":"2019-12-02T13:29:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"A leg-hold noose capture method for Brent Geese Branta bernicla at staging or wintering sites","docAbstract":"Effective and efficient capture methods are needed for marking and monitoring individuals in studies of demography, migration and habitat use. We describe a novel use of leg-hold nooses aligned on lines and mats to capture non-breeding Brent Geese Branta bernicla in water at a staging and wintering site in Japan. A total of 24 Brent Geese were caught in autumn 2017 and 2018. The traps, which were easy to set up and transport, were effective at catching small numbers of Brent Goose at intertidal roosting and gritting sites. 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-The 2019 spring prey fish trawl survey was the most extensive fish survey ever conducted on Lake Ontario with 252 bottom trawls collecting 214,569 fish from 39 species, in main-lake and embayment habitats, at depths ranging from 5 to 225 meters (16.5 – 742.5 feet).

-Alewife distribution was similar in U.S. (southern) and Canadian (northern) portions of the lake, which differs from the previous three years of whole-lake surveys when Alewife in April were more abundant in either U.S. (2017) or Canadian (2016, 2018) waters.

-The 2019 lake-wide average biomass index for adult Alewife (Age2+) declined 29% relative to 2018.

-The lake-wide biomass index for Age-1 Alewife in 2019 (2.2 kg/ha) declined relative to 2018 (2.6 kg/ha) and was the lowest Age-1 biomass observed since whole-lake sampling began in 2016.

-The current biomass, size structure, and age structure of the adult Alewife population reflect the lower than-average Alewife reproductive success observed in the 2013- and 2014-year classes. 

-Reproductive success was also lower than average in 2017 and 2018, suggesting the adult Alewife biomass may continue to decline.

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We correct a sign error in Figs. 1 and 2. We also correct the equation for the prime meridian position (W) of Mars’ satellite Phobos in Table 2.","language":"English","publisher":"Springer","doi":"10.1007/s10569-019-9925-1","usgsCitation":"Archinal, B., Acton, C.H., A. Conrad, Duxbury, T., D. Hestroffer, Hilton, J.L., Jorda, L., Kirk, R.L., Klioner, S.A., J-L. Margot, K. Meech, J. Oberst, F. Paganelli, J. Ping, P. K. Seidelmann, Stark, A., D. J. Tholen, Wang, Y., and I. P. 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Williams","affiliations":[{"id":47789,"text":"Queen Mary, University of London, London, U.K","active":true,"usgs":false}],"preferred":false,"id":796558,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70207142,"text":"70207142 - 2019 - Estimating the degree to which distance and temperature differences drive changes in fish community composition over time in the upper Mississippi River","interactions":[],"lastModifiedDate":"2020-06-19T16:15:06.610147","indexId":"70207142","displayToPublicDate":"2019-12-02T12:10:54","publicationYear":"2019","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":"Estimating the degree to which distance and temperature differences drive changes in fish community composition over time in the upper Mississippi River","docAbstract":"Similarity in community composition declines as distance between locations increases, a phenomenon that has been observed in a wide variety of freshwater, marine and terrestrial ecosystems. One driver of the distance-similarity relationship is the presence of environmental gradients that alter the suitability of sites for particular species. Although some environmental gradients, such as geology, do not change on a year-to-year basis, others, such as temperature, vary annually and over longer time periods. Here, we used a 21-year dataset of fish communities in the upper Mississippi River to identify the effect of distance on variation in community composition and to assess whether the effect of distance is primarily due to its effect on thermal regime. Because the Mississippi River is aligned mostly north-to-south, larger distances along the river roughly correspond to larger differences in latitude and therefore temperature. As expected, there was a moderate distance-similarity relationship, suggesting greater distance leads to less similarity. The effect of distance appeared to increase slightly over time. Using a subset of data for which air temperature was available, we found that difference among sites in degree days (a surrogate for thermal regime) was more strongly associated with similarity in community composition than physical distance (river km). Although physical distance presumably incorporates more environmental gradients than just temperature (and other potential mechanisms), temperature alone appears to be more strongly associated with differences in the Mississippi River fish community.","language":"English","publisher":"Public Library of Science (PLOS)","doi":"10.1371/journal.pone.0225630","usgsCitation":"Larson, J.H., Vallazza, J.M., and Knights, B.C., 2019, Estimating the degree to which distance and temperature differences drive changes in fish community composition over time in the upper Mississippi River: PLoS ONE, v. 14, no. 12, e0225630, 13 p., https://doi.org/10.1371/journal.pone.0225630.","productDescription":"e0225630, 13 p.","ipdsId":"IP-098122","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":459037,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0225630","text":"Publisher Index Page"},{"id":437267,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P956DF36","text":"USGS data release","linkHelpText":"R Code for Comparison of Fish Community Structure among River Reaches of the Upper Mississippi River: Potential Influence of Lock and Dam 19"},{"id":437266,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MNCH0W","text":"USGS data release","linkHelpText":"Influence of a high head dam as a dispersal barrier to fish community structure of the Upper Mississippi River: Data"},{"id":370110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.69091796875,\n 36.63316209558658\n ],\n [\n -87.64892578125,\n 36.63316209558658\n ],\n [\n -87.64892578125,\n 45.84410779560204\n ],\n [\n -95.69091796875,\n 45.84410779560204\n ],\n [\n -95.69091796875,\n 36.63316209558658\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":776942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":776943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":776944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206965,"text":"70206965 - 2019 - Asian swamp eels in North America linked to the live-food trade and prayer-release rituals","interactions":[],"lastModifiedDate":"2019-12-03T06:49:24","indexId":"70206965","displayToPublicDate":"2019-12-02T11:17:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Asian swamp eels in North America linked to the live-food trade and prayer-release rituals","docAbstract":"We provide a history of swamp eel (family Synbranchidae) introductions around the globe and report the first confirmed nonindigenous records of Amphipnous cuchia in the wild. The species, native to Asia, is documented from five sites in the USA: the Passaic River, New Jersey (2007), Lake Needwood, Maryland (2014), a stream in Pennsylvania (2015), the Tittabawassee River, Michigan (2017), and Meadow Lake, New York (2017). The international live-food trade constitutes the major introduction pathway, a conclusion based on: (1) United States Fish and Wildlife Service’s Law Enforcement Management Information System (LEMIS) database records revealing regular swamp eel imports from Asia since at least the mid-1990s; (2) surveys (2001–2018) documenting widespread distribution of live A. cuchia among ethnic food markets in the USA and Canada; (3) indications that food markets are the only source of live A. cuchia in North America; and (4) presence of live A. cuchia in markets close to introduction sites. Prayer release appears to be an important pathway component, whereby religious practitioners purchase live A. cuchia from markets and set them free. Prevalence of A. cuchia in US markets since 2001 indicates the species is the principal swamp eel imported, largely replacing members of the Asian complex Monopterus albus/javanensis. LEMIS records (July 1996–January 2017) document 972 shipments containing an estimated 832,897 live swamp eels entering the USA, although these data underestimate actual numbers due to undeclared and false reporting. LEMIS data reveal most imports originate in Bangladesh, Vietnam, and China. However, LEMIS wrongly identifies many imported swamp eels as “Monopterus albus”; none are identified as A. cuchia although specimens from Bangladesh and India are almost certainly this species. Some imported A. cuchia are erroneously declared on import forms as Anguilla bengalensis. To date, there is no evidence of A. cuchia reproduction in open waters of North America, presumably because it is a tropical-subtropical species and all introductions thus far have been in latitudes where winter water temperatures regularly fall near or below freezing.","language":"English","publisher":"REABIC","doi":"10.3391/ai.2019.14.4.14","usgsCitation":"Nico, L., Kilian, J.V., Ropicki, A.J., and Harper, M., 2019, Asian swamp eels in North America linked to the live-food trade and prayer-release rituals: Aquatic Invasions, v. 14, no. 4, p. 775-814, https://doi.org/10.3391/ai.2019.14.4.14.","productDescription":"40 p.","startPage":"775","endPage":"814","ipdsId":"IP-101553","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":459040,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2019.14.4.14","text":"Publisher Index 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J.","contributorId":220970,"corporation":false,"usgs":false,"family":"Ropicki","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":40301,"text":"Texas A&M University/Texas Sea Grant, Corpus Christi","active":true,"usgs":false}],"preferred":false,"id":776409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harper, Matthew","contributorId":220971,"corporation":false,"usgs":false,"family":"Harper","given":"Matthew","email":"","affiliations":[{"id":40302,"text":"Maryland National Capital Park and Planning Commission","active":true,"usgs":false}],"preferred":false,"id":776410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203227,"text":"70203227 - 2019 - Survival rates and stopover persistence of American Woodcock using Cape May, New Jersey during fall migration","interactions":[],"lastModifiedDate":"2020-03-09T06:18:12","indexId":"70203227","displayToPublicDate":"2019-12-02T10:03:58","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Survival rates and stopover persistence of American Woodcock using Cape May, New Jersey during fall migration","docAbstract":"

Cape May, New Jersey is an important stopover area for American woodcock (Scolopax minor, hereafter woodcock) during fall migration along the Atlantic Coast of the United States. Previous research has indicated that many woodcock stop at Cape May prior to crossing Delaware Bay; however, little is known about survival of woodcock while using Cape May. To better understand woodcock survival on Cape May during fall migration and estimate emigration rates for woodcock migrating through Cape May, we captured and marked a total of 271 woodcock with VHF transmitters and radio-tracked them weekly from November through early January, 2010-2013. Of the 271 marked woodcock, our radio-tracking efforts indicated that 131 migrated from Cape May, 57 remained on Cape May, 72 died, and 11 were censored. We used a multi-state model within Program MARK to estimate weekly survival and emigration probabilities for marked woodcock. Our best-supported model indicated that survival rate varied by year, but was constant by week within years. Weekly survival rate estimates ranged from 0.894 (95% CI = 0.834 – 0.934) in 2010 to 0.962 (95% CI = 0.928 – 0.981) in 2011, which equates to a 9-week period survival rate ranging from 0.365 (95% CI = 0.185 – 0.545) to 0.706 (95% CI = 0.541 – 0.870), respectively. The 2010-2011 field season was marked by several large snowstorms during which a large percentage of marked woodcock died, whereas the other 3 years had more mild conditions and higher woodcock survival rates. Our best-supported model indicated that weekly emigration rates varied by year and week with each year showing a different pattern of emigration from Cape May. Survival and emigration information will be useful in the development of future demographic-based population models for woodcock migrating along the Atlantic Coast.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American Woodcock symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh American Woodcock Symposium","conferenceDate":"October 24-27, 2017","conferenceLocation":"Roscommon, MI","language":"English","publisher":"University of Minnesota Libraries Publishing","doi":"10.24926/AWS.0121","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"McAuley, D., Zimmerman, G.S., Allen, B.L., Dwyer, C., and Cooper, T., 2019, Survival rates and stopover persistence of American Woodcock using Cape May, New Jersey during fall migration, in Proceedings of the eleventh American Woodcock symposium, v. 11, Roscommon, MI, October 24-27, 2017, p. 146-153, https://doi.org/10.24926/AWS.0121.","productDescription":"8 p.","startPage":"146","endPage":"153","ipdsId":"IP-091382","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":459042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24926/aws.0121","text":"Publisher Index Page"},{"id":372993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","city":"Cape May","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.97241973876953,\n 38.91027022759443\n ],\n [\n -74.86736297607422,\n 38.91027022759443\n ],\n [\n -74.86736297607422,\n 38.974357249228206\n ],\n [\n -74.97241973876953,\n 38.974357249228206\n ],\n [\n -74.97241973876953,\n 38.91027022759443\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McAuley, Daniel 0000-0003-3674-6392 dmcauley@usgs.gov","orcid":"https://orcid.org/0000-0003-3674-6392","contributorId":215182,"corporation":false,"usgs":true,"family":"McAuley","given":"Daniel","email":"dmcauley@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":761787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, B. L.","contributorId":201458,"corporation":false,"usgs":false,"family":"Allen","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":761788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, C.","contributorId":215183,"corporation":false,"usgs":false,"family":"Dwyer","given":"C.","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":761789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, T.R.","contributorId":215184,"corporation":false,"usgs":false,"family":"Cooper","given":"T.R.","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":761790,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216315,"text":"70216315 - 2019 - Nutrient scarcity as a selective pressure for mast seeding","interactions":[],"lastModifiedDate":"2020-11-11T15:35:13.934687","indexId":"70216315","displayToPublicDate":"2019-12-02T09:28:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5201,"text":"Nature Plants","onlineIssn":"2055-0278","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient scarcity as a selective pressure for mast seeding","docAbstract":"

Mast seeding is one of the most intriguing reproductive traits in nature. Despite its potential drawbacks in terms of fitness, the widespread existence of this phenomenon suggests that it should have evolutionary advantages under certain circumstances. Using a global dataset of seed production time series for 219 plant species from all of the continents, we tested whether masting behaviour appears predominantly in species with low foliar nitrogen and phosphorus concentrations when controlling for local climate and productivity. Here, we show that masting intensity is higher in species with low foliar N and P concentrations, and especially in those with imbalanced N/P ratios, and that the evolutionary history of masting behaviour has been linked to that of nutrient economy. Our results support the hypothesis that masting is stronger in species growing under limiting conditions and suggest that this reproductive behaviour might have evolved as an adaptation to nutrient limitations and imbalances.

","language":"English","publisher":"Springer","doi":"10.1038/s41477-019-0549-y","usgsCitation":"Fernández-Martínez, M., Pearse, I., Sardans, J., Sayol, F., Koenig, W.D., LaMontagne, J.M., Bogdziewicz, M., Collalti, A., Hacket-Pain, A., Vacchiano, G., Espelta, J., Penuelas, J., and Janssens, I.A., 2019, Nutrient scarcity as a selective pressure for mast seeding: Nature Plants, v. 5, p. 1222-1228, https://doi.org/10.1038/s41477-019-0549-y.","productDescription":"7 p.","startPage":"1222","endPage":"1228","ipdsId":"IP-109180","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":459045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://ddd.uab.cat/record/216950","text":"Publisher Index Page"},{"id":437269,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96N15HF","text":"USGS data release","linkHelpText":"Data on interannual variability of seed production, nutrient, and weather for 219 plant species"},{"id":380416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Fernández-Martínez, M.","contributorId":244805,"corporation":false,"usgs":false,"family":"Fernández-Martínez","given":"M.","affiliations":[{"id":48983,"text":"U. 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D.","contributorId":244807,"corporation":false,"usgs":false,"family":"Koenig","given":"W.","email":"","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":804653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaMontagne, J. M.","contributorId":225095,"corporation":false,"usgs":false,"family":"LaMontagne","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":804654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bogdziewicz, M.","contributorId":228912,"corporation":false,"usgs":false,"family":"Bogdziewicz","given":"M.","affiliations":[{"id":40150,"text":"Adam Mickiewicz University, Poland","active":true,"usgs":false}],"preferred":false,"id":804655,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collalti, A.","contributorId":244808,"corporation":false,"usgs":false,"family":"Collalti","given":"A.","email":"","affiliations":[{"id":48985,"text":"Institute for Agriculture and Forestry Systems in the Mediterranean, National Research Council of Italy","active":true,"usgs":false}],"preferred":false,"id":804656,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":804657,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":804658,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Espelta, J. M.","contributorId":244810,"corporation":false,"usgs":false,"family":"Espelta","given":"J. M.","affiliations":[],"preferred":false,"id":804660,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Penuelas, J.","contributorId":45541,"corporation":false,"usgs":true,"family":"Penuelas","given":"J.","affiliations":[],"preferred":false,"id":804661,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Janssens, I. A.","contributorId":244809,"corporation":false,"usgs":false,"family":"Janssens","given":"I.","email":"","middleInitial":"A.","affiliations":[{"id":48983,"text":"U. Antwerp","active":true,"usgs":false}],"preferred":false,"id":804659,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70232998,"text":"70232998 - 2019 - Unravelling the tectonics of Pearya Terrane, Nunavut: GEM-2 Western Arctic Project, report of activities 2018","interactions":[],"lastModifiedDate":"2022-07-15T14:10:05.108025","indexId":"70232998","displayToPublicDate":"2019-12-02T09:05:35","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5589,"text":"Open File","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"8323","title":"Unravelling the tectonics of Pearya Terrane, Nunavut: GEM-2 Western Arctic Project, report of activities 2018","docAbstract":"

GSC scientists were part of an international team of researchers who visited bedrock outcrops on northernmost Ellesmere Island in the summer of 2017. The purpose of the expedition was to document and sample the rocks of Pearya terrane and study the tectonic history of the terrane in order to better reconstruct the past stages of continental drift that formed the Arctic Ocean.

","language":"English","publisher":"Canadian Geological Survey","doi":"10.4095/313605","collaboration":"Geological Survey of Canada (GSC); German Federal Institute for Geosciences and Natural Resources (BGR)","usgsCitation":"Hadlari, T., Rayner, N.M., and Moore, T.E., 2019, Unravelling the tectonics of Pearya Terrane, Nunavut: GEM-2 Western Arctic Project, report of activities 2018: Open File 8323, 9 p., https://doi.org/10.4095/313605.","productDescription":"9 p.","ipdsId":"IP-102886","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4095/313605","text":"Publisher Index Page"},{"id":403788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Nunavut","otherGeospatial":"Ellesmere Island, Pearya Terrane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.26953125,\n 82.86430834427166\n ],\n [\n -74.8828125,\n 83.23642648170203\n ],\n [\n -91.845703125,\n 81.74845396137906\n ],\n [\n -89.033203125,\n 80.90066856076275\n ],\n [\n -66.26953125,\n 82.86430834427166\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hadlari, Thomas","contributorId":293196,"corporation":false,"usgs":false,"family":"Hadlari","given":"Thomas","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":846635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rayner, Nicole M.","contributorId":293197,"corporation":false,"usgs":false,"family":"Rayner","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":846636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":846637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227757,"text":"70227757 - 2019 - Using pointing dogs and hierarchical models to evaluate American woodcock winter occupancy and densities","interactions":[],"lastModifiedDate":"2022-01-28T14:59:18.950521","indexId":"70227757","displayToPublicDate":"2019-12-02T08:35:12","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using pointing dogs and hierarchical models to evaluate American woodcock winter occupancy and densities","docAbstract":"

Use of dogs has increased for multiple wildlife research purposes ranging from carnivore scat detection to estimation of reptile abundance. Use of dogs is not particularly novel for upland gamebird biologists, and pointing dogs have been long considered an important research tool. However, recent advances in Global Positioning System (GPS) technology and the development of hierarchical modeling approaches that account for imperfect detection may improve estimates of occupancy and density of cryptic species such as the American woodcock (Scolopax minor; hereafter, woodcock). We conducted surveys for woodcock using a trained pointing dog wearing a GPS collar during the winters of 2010–2011 and 2011–2012 in East Texas, USA. We surveyed 0.5-km-radius circular plots (n = 24; survey sites) randomly placed along secondary roads in Davy Crockett National Forest and on private timber property. Surveys lasted 1.5 hrs and were repeated 3–5 times each winter. We estimated woodcock occupancy and density using multiple modeling approaches at the survey site and forest stand scales within survey sites. Woodcock occupied 88% (21/24) of survey sites and 48% (39/82) of forest stands (i.e., unique cover types) within sites. Using a modified distance sampling technique, we estimated an average density of 0.16 birds/ha (SE = 0.13) throughout both study areas. We describe the first attempt to blend use of pointing dogs with hierarchical modeling approaches to derive estimates of regional diurnal woodcock occupancy and density, and describe relationships between these estimates of abundance and habitat covariates. Although forest stand occupancy estimates had the lowest coefficients of variation, our estimates of density provided the most useful inference of habitat use. Surveys using pointing dogs paired with hierarchical models of occupancy and density may provide a cost-efficient and effective approach to estimate habitat abundance at broad spatial scales.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American Woodcock Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"American Woodcock Symposium","conferenceDate":"2017","conferenceLocation":"Michigan, United States","language":"English","publisher":"University of Minnesota Press","doi":"10.24926/AWS.0122","usgsCitation":"Sullins, D.S., Conway, W.C., Haukos, D.A., and Comer, C.E., 2019, Using pointing dogs and hierarchical models to evaluate American woodcock winter occupancy and densities, in Proceedings of the eleventh American Woodcock Symposium, Michigan, United States, 2017, p. 154-167, https://doi.org/10.24926/AWS.0122.","productDescription":"14 p.","startPage":"154","endPage":"167","ipdsId":"IP-090750","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24926/aws.0122","text":"Publisher Index Page"},{"id":395048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Houston County, San Augustine County, Trinity County","otherGeospatial":"Davy Crockett National Forest, West Gulf Coastal Plain Bird Conservation Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.24793243408203,\n 31.45473238771609\n ],\n [\n -94.14974212646484,\n 31.45473238771609\n ],\n [\n -94.14974212646484,\n 31.511532395628638\n ],\n [\n -94.24793243408203,\n 31.511532395628638\n ],\n [\n -94.24793243408203,\n 31.45473238771609\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.44509887695312,\n 30.935212690426727\n ],\n [\n -94.75296020507811,\n 30.935212690426727\n ],\n [\n -94.75296020507811,\n 31.67675841879551\n ],\n [\n -95.44509887695312,\n 31.67675841879551\n ],\n [\n -95.44509887695312,\n 30.935212690426727\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":832104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Comer, Christopher E.","contributorId":166690,"corporation":false,"usgs":false,"family":"Comer","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":32360,"text":"Stephen F. Austin State University, Nacogdoches, TX","active":true,"usgs":false}],"preferred":false,"id":832105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209036,"text":"70209036 - 2019 - Seasonal use of a nonnatal marine basin by juvenile hatchery chinook salmon","interactions":[],"lastModifiedDate":"2020-03-12T07:38:17","indexId":"70209036","displayToPublicDate":"2019-12-02T07:32:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal use of a nonnatal marine basin by juvenile hatchery chinook salmon","docAbstract":"Information on the movement patterns of fishes is essential for managers that are making critical resource decisions. We examined the frequency of a keystone species, Chinook Salmon Oncorhynchus tshawytscha that migrated from different marine basins to the Nisqually River estuary, which lies within the southernmost marine basin (hereafter, “South basin”) in Puget Sound (Washington, USA). Hatchery‐reared juvenile fish were sampled by using beach seine, lampara seine, and fyke nets to determine seasonal trends in frequency, habitat use, and the influence of different capture methods. The captured fish originated from three marine basins, nine Puget Sound rivers, and fourteen hatcheries. The data revealed a consistent pattern showing that most of the tagged fish (72%) were from the nearby Nisqually River (in the South basin), but fish from more northerly marine basins (hereafter, “Outbasin”) were also common. Although the majority of the tagged fish (99%) that were captured during April and May were originally released into rivers adjacent to the South basin, 90% of the fish that were captured in August and September had originated from rivers adjacent to Outbasin locations (up to 130 km distant). A comparison of sampling methods showed that the beach seine produced 27% Outbasin fish compared with 53% that were obtained with the lampara seine. The analysis of habitat use suggested that during June and July, more Outbasin fish (>40%) were captured in delta flats and nearshore habitats than in estuarine emergent marsh habitat (26%). Release location (river basin), but not distance, appeared to be an important factor that influenced the percentage of Outbasin fish that were captured in the South basin. However, it appeared that the fish that were released at light weights and early dates were more likely to be captured. Information on the movement of juvenile salmon to a nonnatal marine basin may help to increase our understanding of features of life history and survival, and it has application elsewhere, as many marine species are artificially propagated, released in large numbers, and have the potential to use nonnatal habitats.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10098","usgsCitation":"Hayes, M.C., Hodgson, S., Ellings, C.S., Duval, W.D., and Rubin, S., 2019, Seasonal use of a nonnatal marine basin by juvenile hatchery chinook salmon: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 11, no. 6, p. 437-453, https://doi.org/10.1002/mcf2.10098.","productDescription":"17 p.","startPage":"437","endPage":"453","ipdsId":"IP-091656","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":459049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10098","text":"Publisher Index Page"},{"id":373163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.6124267578125,\n 48.27953734226008\n ],\n [\n -122.81616210937499,\n 47.916342040161155\n ],\n [\n -123.1512451171875,\n 46.90149244734082\n ],\n [\n -122.05261230468751,\n 47.212105775622426\n ],\n [\n -122.0745849609375,\n 48.49112712828191\n ],\n [\n -122.59643554687499,\n 49.04506962208049\n ],\n [\n -123.45336914062499,\n 48.96939999849952\n ],\n [\n -124.771728515625,\n 48.741700879765396\n ],\n [\n -124.6124267578125,\n 48.27953734226008\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgson, Sayre","contributorId":172121,"corporation":false,"usgs":false,"family":"Hodgson","given":"Sayre","email":"","affiliations":[{"id":26985,"text":"Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":784598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":784599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duval, Walker D","contributorId":223217,"corporation":false,"usgs":false,"family":"Duval","given":"Walker","email":"","middleInitial":"D","affiliations":[{"id":40686,"text":"Nisqually Indian Tribe, Department of Natural Resources, 4820 She-Nah-Num Dr. SE, 8 Olympia, Washington 98513, USA","active":true,"usgs":false}],"preferred":false,"id":784600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubin, Steve 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":223218,"corporation":false,"usgs":true,"family":"Rubin","given":"Steve","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784601,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215913,"text":"70215913 - 2019 - The Bouse Formation: A controversial Neogene archive of the evolving Colorado River: A scientific drilling workshop report (Feb. 28-March 3, 2019-Bluewater Resort, Parker, Arizona, USA","interactions":[],"lastModifiedDate":"2020-11-02T13:23:07.709944","indexId":"70215913","displayToPublicDate":"2019-12-02T07:15:55","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The Bouse Formation: A controversial Neogene archive of the evolving Colorado River: A scientific drilling workshop report (Feb. 28-March 3, 2019-Bluewater Resort, Parker, Arizona, USA","docAbstract":"

Neogene deposits of the lower Colorado River valley, especially the Miocene(?) and early Pliocene Bouse Formation, have been the focus of intense debate regarding the early paleoenvironmental history of this important continental-scale river system in southwestern North America and its integration with the proto-Gulf of California. Fine-grained units within these Neogene deposits also hold a promising archive of Pliocene paleoclimate history for this part of the world. Because the depocenter deposits of the Bouse Formation and the deposits that overlie and underlie it are poorly exposed and highly weathered, the formation is ripe for study through collection of drill cores. A workshop was held 28 February–3 March 2019 in Parker, AZ, USA, to discuss how scientific drilling might be employed to help resolve the Bouse controversies and improve our understanding of paleoclimate history in the region.

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/sd-26-59-2019","usgsCitation":"Cohen, A., Cassidy, C., Crow, R.S., Bright, J., Crossey, L., Dorsey, R., Gootee, B.F., House, K., Howard, K.A., Karlstrom, K., and Pearthree, P., 2019, The Bouse Formation: A controversial Neogene archive of the evolving Colorado River: A scientific drilling workshop report (Feb. 28-March 3, 2019-Bluewater Resort, Parker, Arizona, USA, v. 26, p. 59-67, https://doi.org/10.5194/sd-26-59-2019.","productDescription":"9 p.","startPage":"59","endPage":"67","ipdsId":"IP-109925","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/sd-26-59-2019","text":"Publisher Index Page"},{"id":380011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Blythe basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.37841796874999,\n 32.13840869677249\n ],\n [\n -113.84033203125,\n 32.13840869677249\n ],\n [\n -113.84033203125,\n 35.40696093270201\n ],\n [\n -115.37841796874999,\n 35.40696093270201\n ],\n [\n -115.37841796874999,\n 32.13840869677249\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Cohen, Andrew S.","contributorId":225230,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew S.","affiliations":[{"id":41081,"text":"Department of Geosciences, The University of Arizona, Tucson AZ","active":true,"usgs":false}],"preferred":false,"id":803608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassidy, Colleen 0000-0003-2963-9185","orcid":"https://orcid.org/0000-0003-2963-9185","contributorId":207193,"corporation":false,"usgs":true,"family":"Cassidy","given":"Colleen","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":803609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":803610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":803611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crossey, Laura","contributorId":220554,"corporation":false,"usgs":false,"family":"Crossey","given":"Laura","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":803612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dorsey, Rebecca","contributorId":140302,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":803613,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gootee, Brian F. 0000-0001-5251-9080 bgootee@email.arizona.edu","orcid":"https://orcid.org/0000-0001-5251-9080","contributorId":201637,"corporation":false,"usgs":false,"family":"Gootee","given":"Brian","email":"bgootee@email.arizona.edu","middleInitial":"F.","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":803614,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":803615,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":803616,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karlstrom, Karl","contributorId":89944,"corporation":false,"usgs":true,"family":"Karlstrom","given":"Karl","affiliations":[],"preferred":false,"id":803617,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pearthree, Philip","contributorId":195166,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","affiliations":[],"preferred":false,"id":803618,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70207034,"text":"70207034 - 2019 - A draft decision framework for the National Park Service Interior Region 5 bison stewardship strategy","interactions":[],"lastModifiedDate":"2019-12-05T06:35:25","indexId":"70207034","displayToPublicDate":"2019-12-02T06:49:29","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2019/204","title":"A draft decision framework for the National Park Service Interior Region 5 bison stewardship strategy","docAbstract":"The Department of the Interior Bison Conservation Initiative calls for its bureaus to plan and implement collaborative American bison conservation and to ensure involvement by tribal, state, and local governments and the public in that conservation. Four independently managed and geographically separated National Park Service (NPS) units in Interior Region 5 (IR5) preserve bison and other components of a formerly contiguous Great Plains landscape. Management of bison in IR5 parks has historically been specific to each park, and livestock and range management science informed much of the decision making. In the past two decades, NPS has shifted away from managing bison from this livestock-based perspective towards a wildlife stewardship approach, including ensuring their long-term adaptive potential and considering them as just one part of a complex ecosystem. This shift requires a more holistic and cooperative approach to stewardship that is challenging not only because of limitations in funding and fluctuations in leadership priorities, but also because of the constraints imposed by the parks’ relatively small, fenced areas.\n\nThe IR5 NPS Bison Stewardship Strategy (“Strategy”) will help the NPS to meet its responsibilities in cooperative stewardship of bison. The Strategy will serve to organize and consolidate the NPS’s legal and policy responsibilities within a framework of collectively defined values and objectives to support the careful and transparent decision-making processes that both guide and transcend park-specific planning. This report describes a preliminary decision framework for the Strategy, including the context, the fundamental objectives, and a range of alternative strategies developed and considered through two workshops and a series of conference calls with NPS personnel, stakeholders, and outside experts with an interest in IR5 NPS bison stewardship. Although not the Strategy itself, this framework serves as the Strategy’s starting point and identifies 14 fundamental objectives, falling in four major themes:\n\nPersistence of Wild and Healthy Bison\n1.\tMaximize the long-term persistence of bison in IR5 parks\n2.\tMaximize the long-term adaptive capacity of bison in North America\n3.\tMaximize the wildness of the bison herds\n4.\tMaximize humane treatment of bison, while allowing natural processes to occur\n\nSupporting Tribal Buffalo Culture\n5.\tImprove relationships, trust, and communication with Tribes to enhance shared stewardship of bison within and beyond IR5 \n6.\tMaximize the number of live, healthy bison that can be transferred to tribal herds\n\nPersistence of Native Ecological Communities and Processes\n7.\tMaximize structural and compositional heterogeneity of native prairie plant communities across space and time within each park\n8.\tMaximize the abundance and diversity of animal species of special concern\n9.\tMinimize the loss of native grassland within each park\n10.\tMinimize the abundance of exotic plants in the park landscape\n11.\tMaximize riparian area and wetland integrity\n\nPublic Outreach\n12.\tMaximize the number of healthy, wild bison that are visible to the public\n13.\tMaximize the safety of visitors\n14.\tMaximize public understanding of the past, present, and future of bison and Native Americans in the Great Plains\n\nThe terms “minimize” and “maximize” in these objectives describe the desired direction for each individual objective. Finding the right balance among these objectives and any others identified in further work is one of the central challenges in developing the Strategy. To that end, this report also demonstrates and describes potential methods for evaluating how well alternative strategies would achieve each of the fundamental objectives.","language":"English","publisher":"National Park Service","usgsCitation":"Symstad, A., Miller, B.W., Shenk, T.M., Athearn, N.D., and Runge, M.C., 2019, A draft decision framework for the National Park Service Interior Region 5 bison stewardship strategy: Natural Resource Report 2019/204, viii, 43 p.","productDescription":"viii, 43 p.","ipdsId":"IP-111209","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":369889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369888,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2267642"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":776583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":776584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shenk, Tanya M","contributorId":221010,"corporation":false,"usgs":false,"family":"Shenk","given":"Tanya","email":"","middleInitial":"M","affiliations":[{"id":40309,"text":"NPS, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":776585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Athearn, Nicole D","contributorId":221011,"corporation":false,"usgs":false,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D","affiliations":[{"id":40310,"text":"NPS, Yosemite National Park, CA","active":true,"usgs":false}],"preferred":false,"id":776586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":776587,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206712,"text":"70206712 - 2019 - Geologic map of the Blythe 7.5' quadrangle, La Paz County, Arizona and Riverside County, California","interactions":[],"lastModifiedDate":"2020-01-08T17:12:32","indexId":"70206712","displayToPublicDate":"2019-12-01T17:12:08","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5907,"text":" Arizona Geological Survey Digital Geologic Map","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"DGM-124","title":"Geologic map of the Blythe 7.5' quadrangle, La Paz County, Arizona and Riverside County, California","docAbstract":"The geologic map of the Blythe 7.5' quadrangle spans about 60 percent of the width of the Holocene floodplain and valley floor of the lower Colorado River and the adjacent lower piedmont on the east side of the Colorado River Valley. This map depicts a composite geologic record of the river’s response to the transition from a natural flow regime to a strictly regulated one created by a series of upstream dams and channelization of much of its length. The floodplain map was developed using archival data sources including notes and maps from early river expeditions, early cadastral and topographical surveys, and a series of historical aerial photographs. The floodplain surface and its underlying young alluvial fill is herein referred to as the Blythe Alluvium, and this report provides the basis for defining it as a formal stratigraphic unit. Along the eastern edge of the map are piedmont deposits intercalated with Pliocene and Pleistocene Colorado River sediments underlying the Blythe Alluvium. The piedmont units include an array of washes and alluvial fans sourced in the Trigo and Dome Rock Mountains. These deposits were divided and mapped based on stratigraphic and geomorphic criteria including relative topographic relationships, and cross-cutting and inset stratigraphic relations among individual piedmont units and with ancestral Colorado River deposits. Varying thicknesses of those units likely exist below the Holocene floodplain, and this report presents those in the form of a lithologic-section of the valley based on available well data and accompanying descriptions.","language":"English","publisher":"Arizona Geological Survey","usgsCitation":"Block, D., Gootee, B.F., House, K., and Pearthree, P.A., 2019, Geologic map of the Blythe 7.5' quadrangle, La Paz County, Arizona and Riverside County, California: Arizona Geological Survey Digital Geologic Map DGM-124, Report: 45 p.; 2 Sheets: 36 x 29.30 inches and 25.23 x 22.07 inches.","productDescription":"Report: 45 p.; 2 Sheets: 36 x 29.30 inches and 25.23 x 22.07 inches","ipdsId":"IP-089999","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":371092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":371091,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://repository.azgs.az.gov/uri_gin/azgs/dlio/1932"}],"country":"United States","state":"Arizona, California","county":"La Paz County, Riverside County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.08453369140625,\n 32.82421110161336\n ],\n [\n -114.20013427734375,\n 32.82421110161336\n ],\n [\n -114.20013427734375,\n 33.813384329112786\n ],\n [\n -115.08453369140625,\n 33.813384329112786\n ],\n [\n -115.08453369140625,\n 32.82421110161336\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Block, Debra 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":198448,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":775516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gootee, Brian F. 0000-0001-5251-9080 bgootee@email.arizona.edu","orcid":"https://orcid.org/0000-0001-5251-9080","contributorId":201637,"corporation":false,"usgs":false,"family":"Gootee","given":"Brian","email":"bgootee@email.arizona.edu","middleInitial":"F.","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":775513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":775514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearthree, Philip A 0000-0001-7676-8145","orcid":"https://orcid.org/0000-0001-7676-8145","contributorId":220713,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","email":"","middleInitial":"A","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":775515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208117,"text":"70208117 - 2019 - Geochemistry and geophysics of iron oxide-apatite deposits and associated waste piles with implications for potential rare earth element resources from ore and historic mine waste in the eastern Adirondack Highlands, New York, USA","interactions":[],"lastModifiedDate":"2020-01-28T15:40:48","indexId":"70208117","displayToPublicDate":"2019-12-01T15:29:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and geophysics of iron oxide-apatite deposits and associated waste piles with implications for potential rare earth element resources from ore and historic mine waste in the eastern Adirondack Highlands, New York, USA","docAbstract":"

The iron oxide-apatite (IOA) deposits of the eastern Adirondack Highlands, New York, are historical high-grade magnetite mines that contain variable concentrations of rare earth element (REE)-bearing apatite crystals. The majority of the deposits are hosted within sodically altered Lyon Mountain granite gneiss, although some deposits occur within paragneiss, gabbro, anorthosite, or potassically altered Lyon Mountain granite gneiss. The IOA deposits and the waste and/or tailings piles associated with them have potential as an unconventional resource for REEs. Reprocessing of these piles would have the advantage of partial recycling of the waste material to produce a set of critical elements.

Thirty-four ore, nine rock, 25 waste-pile, and four tailings-pile samples were collected and analyzed for major, minor, and trace elements. At the tailings- and waste-pile sites, composite samples were collected by combining 30 to >50 subsamples randomly distributed over each pile. The total REE content of the waste and tailings piles varied from approximately 10 to 22,000 ppm, whereas the ore sample concentrations ranged from approximately 15 to 48,000 ppm total REEs. A positive correlation exists between the total REE content of ore and its associated waste pile. Median light REE/heavy REE values were 2.14 for waste/tailings piles and 2.25 for ore, which is a substantial relative enrichment in the heavy REEs in comparison to many developed REE mines, such as the mined carbonatites of Bayan Obo, China, and Mountain Pass, California. Importantly, the ore and waste samples are significantly enriched in both Y and Nd compared to other REEs in the samples. Other minor components such as Th are also elevated. Airborne radiometric surveys show large positive eTh and eU anomalies corresponding to tailings piles.

Although it is a limited data set, geochemical data of unaltered and altered host rocks suggest a speculative new model for IOA ore formation in the Adirondack Highlands that is consistent with the geology and previously published data. The ferroan ore-hosting Lyon Mountain granite gneiss underwent localized potassic alteration that enriched the altered rock in Fe, REEs, Th, and other metals. A later sodic alteration event affected the previously potassically altered Lyon Mountain granite gneiss, which increased rock porosity and remobilized Fe, REEs, and other elements from the host rock into the iron ore seams. The sodic fluids responsible for ore formation were enriched in F and Cl.

","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4689","usgsCitation":"Taylor, R., Shah, A.K., Walsh, G.J., and Taylor, C.D., 2019, Geochemistry and geophysics of iron oxide-apatite deposits and associated waste piles with implications for potential rare earth element resources from ore and historic mine waste in the eastern Adirondack Highlands, New York, USA: Economic Geology, v. 114, no. 8, p. 1569-1598, https://doi.org/10.5382/econgeo.4689.","productDescription":"30 p.","startPage":"1569","endPage":"1598","ipdsId":"IP-105561","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":371659,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.35498046875,\n 42.827638636242284\n ],\n [\n -73.2568359375,\n 42.827638636242284\n ],\n [\n -73.2568359375,\n 45.24395342262324\n ],\n [\n -76.35498046875,\n 45.24395342262324\n ],\n [\n -76.35498046875,\n 42.827638636242284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":201948,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":780546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203511,"text":"70203511 - 2019 - Sulfur contamination in the Everglades, a major control on mercury methylation","interactions":[],"lastModifiedDate":"2019-12-03T12:03:22","indexId":"70203511","displayToPublicDate":"2019-12-01T11:59:49","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Sulfur contamination in the Everglades, a major control on mercury methylation","docAbstract":"

In this chapter sulfur contamination of the Everglades and its role as a major control on methylmercury (MeHg) production is examined. Sulfate concentrations over large portions of the Everglades (60% of the ecosystem) are elevated or greatly elevated compared to background conditions of <1 mg/L. Land and water management practices in south Florida are the primary reason for the high levels of sulfate loading to the Everglades. Marshes in the northern Everglades that are highly enriched in sulfate have average concentrations of 60 mg/L, but water in canals in the Everglades Agricultural Area (EAA) contain the highest concentrations of sulfate averaging 60–70 mg/L. Studies that examined the mass balance of sulfur to the Everglades have determined that the primary sources of sulfate include: sulfur currently used in agriculture, and natural and legacy agricultural sulfur released by oxidation of organic soil within the EAA. The extensive loading of sulfate to the ecosystem increases microbial sulfate reduction, the dominant microbial process driving mercury methylation and MeHg production. The biogeochemical processes linking sulfate loading and MeHg production, however, are complex. MeHg production increases as sulfate levels rise from levels <1 mg/L up to about 20 mg/L. However, production of sulfide (a byproduct of microbial sulfate reduction) starts to inhibit MeHg production above 20 mg/L. Sulfate loading to canals in the EAA has impacted the northern Everglades the most, but the Everglades canal system can transport sulfate as far as Everglades National Park (ENP), 80 km further south. Plans to deliver more water to ENP as part of restoration may increase overall sulfate loads to the southern Everglades.

Reduction of sulfate loading should be a major goal of Everglades restoration because of the many negative effects of sulfate on the ecosystem. The ecosystem has been shown to respond quickly to reductions in sulfate loading, and strategies for reducing sulfate loading may produce positive outcomes for the Everglades in the near-term. Strategies for reducing sulfate loading will need to include: best management practices for agricultural use of sulfate, approaches to minimize soil oxidation in the EAA, and modifications to stormwater treatment areas to improve sulfate retention.

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