The growth and decay of ocean-island volcanoes are intrinsically linked to vertical movements. While the causes for subsidence are better understood, uplift mechanisms remain enigmatic. Santa Maria Island in the Azores Archipelago is an ocean-island volcano resting on top of young lithosphere, barely 480 km away from the Mid-Atlantic Ridge. Like most other Azorean islands, Santa Maria should be experiencing subsidence. Yet, several features indicate an uplift trend instead. In this paper, we reconstruct the evolutionary history of Santa Maria with respect to the timing and magnitude of its vertical movements, using detailed field work and 40Ar/39Ar geochronology. Our investigations revealed a complex evolutionary history spanning ∼6 m.y., with subsidence up to ca. 3.5 Ma followed by uplift extending to the present day. The fact that an island located in young lithosphere experienced a pronounced uplift trend is remarkable and raises important questions concerning possible uplift mechanisms. Localized uplift in response to the tectonic regime affecting the southeastern tip of the Azores Plateau is unlikely, since the area is under transtension. Our analysis shows that the only viable mechanism able to explain the uplift is crustal thickening by basal intrusions, suggesting that intrusive processes play a significant role even on islands standing on young lithosphere, such as in the Azores.
","language":"English","publisher":"The Geological Society of America","doi":"10.1130/B31538.1","usgsCitation":"Ramalho, R., Helffrich, G., Madeira, J., Cosca, M.A., Thomas, C., Quartau, R., Hipolito, A., Rovere, A., Hearty, P., and Avila, S., 2017, Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited: Geological Society of America Bulletin, v. 129, no. 3-4, p. 372-390, https://doi.org/10.1130/B31538.1.","productDescription":"19 p. ","startPage":"372","endPage":"390","ipdsId":"IP-078362","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469782,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1983/28e00a4d-8f0a-4130-a5e4-55a2d9e7193b","text":"External Repository"},{"id":342884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Santa Maria Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -25.45,\n 36.8\n ],\n [\n -24.85,\n 36.8\n ],\n [\n -24.85,\n 37.17\n ],\n [\n -25.45,\n 37.17\n ],\n [\n -25.45,\n 36.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"59521d1fe4b062508e3c3660","contributors":{"authors":[{"text":"Ramalho, Ricardo","contributorId":193475,"corporation":false,"usgs":false,"family":"Ramalho","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":700558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helffrich, George","contributorId":193476,"corporation":false,"usgs":false,"family":"Helffrich","given":"George","email":"","affiliations":[],"preferred":false,"id":700559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madeira, Jose","contributorId":193477,"corporation":false,"usgs":false,"family":"Madeira","given":"Jose","email":"","affiliations":[],"preferred":false,"id":700560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Christine","contributorId":193478,"corporation":false,"usgs":false,"family":"Thomas","given":"Christine","affiliations":[],"preferred":false,"id":700561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quartau, Rui","contributorId":193479,"corporation":false,"usgs":false,"family":"Quartau","given":"Rui","email":"","affiliations":[],"preferred":false,"id":700562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipolito, Ana","contributorId":193480,"corporation":false,"usgs":false,"family":"Hipolito","given":"Ana","email":"","affiliations":[],"preferred":false,"id":700563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rovere, Alessio","contributorId":193481,"corporation":false,"usgs":false,"family":"Rovere","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":700564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hearty, Paul","contributorId":193482,"corporation":false,"usgs":false,"family":"Hearty","given":"Paul","email":"","affiliations":[],"preferred":false,"id":700565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Avila, Sergio","contributorId":193483,"corporation":false,"usgs":false,"family":"Avila","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":700566,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70188919,"text":"70188919 - 2017 - Western bats as a reservoir of novel Streptomyces species with antifungal activity","interactions":[],"lastModifiedDate":"2017-06-27T15:02:52","indexId":"70188919","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Western bats as a reservoir of novel Streptomyces species with antifungal activity","title":"Western bats as a reservoir of novel Streptomyces species with antifungal activity","docAbstract":"At least two-thirds of commercial antibiotics today are derived from Actinobacteria, more specifically from the genus Streptomyces. Antibiotic resistance and new emerging diseases pose great challenges in the field of microbiology. Cave systems, in which actinobacteria are ubiquitous and abundant, represent new opportunities for the discovery of novel bacterial species and the study of their interactions with emergent pathogens. White-nose syndrome is an invasive bat disease caused by the fungus Pseudogymnoascus destructans, which has killed more than six million bats in the last 7 years. In this study, we isolated naturally occurring actinobacteria from white-nose syndrome (WNS)-free bats from five cave systems and surface locations in the vicinity in New Mexico and Arizona, USA. We sequenced the 16S rRNA region and tested 632 isolates from 12 different bat species using a bilayer plate method to evaluate antifungal activity. Thirty-six actinobacteria inhibited or stopped the growth of P. destructans, with 32 (88.9%) actinobacteria belonging to the genus Streptomyces. Isolates in the genera Rhodococcus, Streptosporangium, Luteipulveratus, and Nocardiopsis also showed inhibition. Twenty-five of the isolates with antifungal activity against P. destructans represent 15 novel Streptomyces spp. based on multilocus sequence analysis. Our results suggest that bats in western North America caves possess novel bacterial microbiota with the potential to inhibit P. destructans.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.03057-16","usgsCitation":"Hamm, P.S., Caimi, N.A., Northup, D.E., Valdez, E.W., Buecher, D.C., Dunlap, C.A., Labeda, D.P., Lueschow, S., and Porras-Alfaro, A., 2017, Western bats as a reservoir of novel Streptomyces species with antifungal activity: Applied and Environmental Microbiology, v. 83, no. 5, p. 1-10, https://doi.org/10.1128/AEM.03057-16.","productDescription":"e03057-16; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-078054","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469795,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.03057-16","text":"External Repository"},{"id":343013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea4e4b062508e3c7a65","contributors":{"authors":[{"text":"Hamm, Paris S.","contributorId":193654,"corporation":false,"usgs":false,"family":"Hamm","given":"Paris","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":701226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":701228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":701225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":701229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Christopher A.","contributorId":193658,"corporation":false,"usgs":false,"family":"Dunlap","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Labeda, David P.","contributorId":193659,"corporation":false,"usgs":false,"family":"Labeda","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":701231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lueschow, Shiloh","contributorId":193662,"corporation":false,"usgs":false,"family":"Lueschow","given":"Shiloh","email":"","affiliations":[],"preferred":false,"id":701290,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Porras-Alfaro, Andrea","contributorId":193660,"corporation":false,"usgs":false,"family":"Porras-Alfaro","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":701232,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70188901,"text":"70188901 - 2017 - Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers","interactions":[],"lastModifiedDate":"2021-05-27T13:43:26.845215","indexId":"70188901","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers","docAbstract":"The Midwest United States is an intensely agricultural region where pesticides in streams pose risks to aquatic biota, but temporal variability in pesticide concentrations makes characterization of their exposure to organisms challenging. To compensate for the effects of temporal variability, we deployed polar organic chemical integrative samplers (POCIS) in 100 small streams across the Midwest for about 5 weeks during summer 2013 and analyzed the extracts for 227 pesticide compounds. Analysis of water samples collected weekly for pesticides during POCIS deployment allowed for comparison of POCIS results with periodic water-sampling results. The median number of pesticides detected in POCIS extracts was 62, and 141 compounds were detected at least once, indicating a high level of pesticide contamination of streams in the region. Sixty-five of the 141 compounds detected were pesticide degradates. Mean water concentrations estimated using published POCIS sampling rates strongly correlated with means of weekly water samples collected concurrently, however, the POCIS-estimated concentrations generally were lower than the measured water concentrations. Summed herbicide concentrations (units of ng/POCIS) were greater at agricultural sites than at urban sites but summed concentrations of insecticides and fungicides were greater at urban sites. Consistent with these differences, summed concentrations of herbicides correlate to percent cultivated crops in the watersheds and summed concentrations of insecticides and fungicides correlate to percent urban land use. With the exception of malathion concentrations at nine sites, POCIS-estimated water concentrations of pesticides were lower than aquatic-life benchmarks. The POCIS provide an alternative approach to traditional water sampling for characterizing chronic exposure to pesticides in streams across the Midwest region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2016.09.085","usgsCitation":"Van Metre, P., Alvarez, D., Mahler, B., Nowell, L.H., Sandstrom, M.W., and Moran, P.W., 2017, Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers: Environmental Pollution, v. 220, no. A, p. 431-440, https://doi.org/10.1016/j.envpol.2016.09.085.","productDescription":"8 p.","startPage":"431","endPage":"440","ipdsId":"IP-077226","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":469794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.09.085","text":"Publisher Index Page"},{"id":342960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.404296875,\n 36.87962060502676\n ],\n [\n -82.529296875,\n 36.87962060502676\n ],\n [\n -82.529296875,\n 45.767522962149876\n ],\n [\n -99.404296875,\n 45.767522962149876\n ],\n [\n -99.404296875,\n 36.87962060502676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","issue":"A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea5e4b062508e3c7a67","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":700893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":700894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":700895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":700896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":700897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188879,"text":"70188879 - 2017 - Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","interactions":[],"lastModifiedDate":"2017-06-27T09:49:15","indexId":"70188879","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","docAbstract":"Adsorption using activated alumina is a simple method for removing fluoride from drinking water, but to be cost effective the adsorption capacity must be high and effective long-term. The intent of this study was to assess changes in its adsorption capacity under varied conditions. This was determined by evaluating the physico-chemical properties, surface charge, and fluoride (F−) adsorption capacity and rate of activated alumina under conditions such as hydration period, particle size, and slow vs. fast titrations. X-ray diffraction and scanning electron microscopy analyses show that the mineralogy of activated alumina transformed to boehmite, then bayerite with hydration period and a corresponding reduction in adsorption capacity was expected; while surface area analyses show no notable changes with hydration period or particle size. The pH dependent surface charge was three times higher using slow potentiometric titrations as compared to fast titrations (due largely to diffusion into pore space), with the surface acidity generally unaffected by hydration period. Results from batch adsorption experiments similarly show no change in fluoride adsorption capacity with hydration period. There was also no notable difference in fluoride adsorption capacity between the particle size ranges of 0.5–1.0 mm and 0.125–0.250 mm, or with hydration period. However, adsorption rate increased dramatically with the finer particle sizes: at an initial F− concentration of 0.53 mmol L−1 (10 mg L−1), 90% was adsorbed in the 0.125–0.250 mm range after 1 h, while the 0.5–1.0 mm range required 24 h to achieve 90% adsorption. Also, the pseudo-second-order adsorption rate constants for the finer vs. larger particle sizes were 3.7 and 0.5 g per mmol F− per min respectively (24 h); and the initial intraparticle diffusion rate of the former was 2.6 times faster than the latter. The results show that adsorption capacity of activated alumina remains consistent and high under the conditions evaluated in this study, but in order to increase adsorption rate, a relatively fine particle size is recommended.
The High Plains aquifer underlies 111.8 million acres (about 175,000 square miles) in parts of eight States—Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with groundwater in the aquifer area (about 1950). This report presents water-level changes and change in recoverable water in storage in the High Plains aquifer from predevelopment (about 1950) to 2015 and from 2013 to 2015.
The methods to calculate area-weighted, average water-level changes; change in recoverable water in storage; and total recoverable water in storage used geospatial data layers organized as rasters with a cell size of 500 meters by 500 meters, which is an area of about 62 acres. Raster datasets of water-level changes are provided for other uses.
Water-level changes from predevelopment to 2015, by well, ranged from a rise of 84 feet to a decline of 234 feet. Water-level changes from 2013 to 2015, by well, ranged from a rise of 24 feet to a decline of 33 feet. The area-weighted, average water-level changes in the aquifer were an overall decline of 15.8 feet from predevelopment to 2015 and a decline of 0.6 feet from 2013 to 2015. Total recoverable water in storage in the aquifer in 2015 was about 2.91 billion acre-feet, which was a decline of about 273.2 million acre-feet since predevelopment and a decline of 10.7 million acre-feet from 2013 to 2015.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175040","collaboration":"Groundwater and Streamflow Information Program","usgsCitation":"McGuire, V.L., 2017, Water-level and recoverable water in storage changes, High Plains aquifer, predevelopment to 2015 and 2013–15: U.S. Geological Survey Scientific Investigations Report 2017–5040, 14 p., https://doi.org/10.3133/sir20175040.","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079654","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":341985,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SB43WM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data used to map water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2015 and 2013 to 2015"},{"id":341997,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/science/mission-areas/water/groundwater-and-streamflow-information?qt-programs_l2_landing_page=0#qt-programs_l2_landing_page","text":"Groundwater and Streamflow Information Program"},{"id":341983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5040/coverthb.jpg"},{"id":341984,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5040/sir20175040.pdf","text":"Report","size":"2.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5040"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","otherGeospatial":"High Plains Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106,\n 32\n ],\n [\n -96,\n 32\n ],\n [\n -96,\n 44\n ],\n [\n -106,\n 44\n ],\n [\n -106,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Florida has one of the highest concentrations of springs in the world, with many discharging into rivers and predominantly into eastern Gulf of Mexico coast, and they likely influence the hydrochemistry of these adjacent waters; however, temporal and spatial trends have not been well studied. We present over 20 yr of hydrochemical, seasonally sampled data to identify temporal and spatial trends of pH, alkalinity, partial pressure of carbon dioxide (pCO2), and CO2flux from five first-order-magnitude (springs that discharge greater than 2.83 m3 s−1) coastal spring groups fed by the Floridan Aquifer System that ultimately discharge into the Gulf of Mexico. All spring groups had pCO2 levels (averages 3174.3–6773.2 μatm) that were much higher than atmospheric levels of CO2 and demonstrated statistically significant temporal decreases in pH and increases in CO2 flux, pCO2, and alkalinity. Total carbon flux emissions increased from each of the spring groups by between 3.48 × 107 and 2.856 × 108 kg C yr−1 over the time period. By 2013 the Springs Groups in total emitted more than 1.1739 × 109 kg C yr−1. Increases in alkalinity and pCO2 varied from 90.9 to 347.6 μmol kg−1 and 1262.3 to 2666.7 μatm, respectively. Coastal data show higher CO2 evasion than the open Gulf of Mexico, which suggests spring water influences nearshore waters. The results of this study have important implications for spring water quality, dissolution of the Florida carbonate platform, and identification of the effect and partitioning of carbon fluxes to and within coastal and marine ecosystems.
","language":"English","publisher":"ASLO","doi":"10.1002/lno.10573","usgsCitation":"Barrera, K.E., and Robbins, L.L., 2017, Historical patterns of acidification and increasing CO2 flux associated with Florida springs: Limnology and Oceanography, v. 62, no. 6, p. 2404-2417, https://doi.org/10.1002/lno.10573.","productDescription":"14 p.","startPage":"2404","endPage":"2417","ipdsId":"IP-073748","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10573","text":"Publisher Index Page"},{"id":341976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.75,\n 28.5\n ],\n [\n -82.25,\n 28.5\n ],\n [\n -82.25,\n 29.1\n ],\n [\n -82.75,\n 29.1\n ],\n [\n -82.75,\n 28.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-21","publicationStatus":"PW","scienceBaseUri":"593127afe4b0e9bd0ea9ef03","contributors":{"authors":[{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187214,"text":"sir20175035 - 2017 - Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14","interactions":[],"lastModifiedDate":"2017-06-01T10:56:06","indexId":"sir20175035","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5035","title":"Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers-Vicksburg District, monitored streamflow, water quality, and sediment at two stations on the Steele Bayou in northwestern Mississippi from October 2010 through September 2014 to characterize nutrient and sediment concentrations and loads in areas where substantial implementation of conservation efforts have been implemented. The motivation for this effort was to quantify improvements, or lack thereof, in water quality in the Steele Bayou watershed as a result of implementing large- and small-scale best-management practices aimed at reducing nutrient and sediment concentrations and loads. The results of this study document the hydrologic, water-quality, and sedimentation status of these basins following over two decades of ongoing implementation of conservation practices.
Results from this study indicate the two Steele Bayou stations have comparable loads and yields of total nitrogen, phosphorus, and suspended sediment when compared to other agricultural basins in the southeastern and central United States. However, nitrate plus nitrite yields from basins in the Mississippi River alluvial plain, including the Steele Bayou Basin, are generally lower than other agricultural basins in the southeastern and central United States.
Seasonal variation in nutrient and sediment loads was observed at both stations and for most constituents. About 50 percent of the total annual nutrient and sediment load was observed during the spring (February through May) and between 25 and 50 percent was observed during late fall and winter (October through January). These seasonal patterns probably reflect a combination of seasonal patterns in precipitation, runoff, streamflow, and in the timing of fertilizer application.
Median concentrations of total nitrogen, nitrate plus nitrite, total phosphorus, orthophosphate, and suspended sediment were slightly higher at the upstream station, Steele Bayou near Glen Allan, than at the downstream station, Steele Bayou at Grace Road at Hopedale, MS, although the differences typically were not statistically significant. Mean annual loads of nitrate plus nitrite and suspended sediment were also larger at the upstream station, although the annual loads at both stations were generally within the 95-percent confidence intervals of each other.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175035","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Vicksburg District","usgsCitation":"Hicks, M.B., Murphy, J.C., and Stocks, S.J., 2017, Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14: U.S. Geological Survey Scientific Investigations Report 2017–5035, 32 p., https://doi.org/10.3133/sir20175035.","productDescription":"viii, 32 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-072526","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":341906,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5035/sir20175035.pdf","text":"Report","size":"1.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5035"},{"id":341905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5035/coverthb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Steele Bayou Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.25,\n 32.4\n ],\n [\n -90.6,\n 32.4\n ],\n [\n -90.6,\n 33.7\n ],\n [\n -91.25,\n 33.7\n ],\n [\n -91.25,\n 32.4\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
308 Airport Rd.
Jackson MS 39208
Sagittal otoliths are the preferred aging structure for Micropterus spp. (black basses) in North America because of the accurate and precise results produced. Typically, fisheries managers are hesitant to use lethal aging techniques (e.g., otoliths) to age rare species, trophy-size fish, or when sampling in small impoundments where populations are small. Therefore, we sought to evaluate the precision and accuracy of 2 non-lethal aging structures (i.e., anal fin spines, dorsal fin spines) in comparison to that of sagittal otoliths from known-age Micropterus salmoides (Largemouth Bass; n = 87) collected from the Ocmulgee Public Fishing Area, GA. Sagittal otoliths exhibited the highest concordance with true ages of all structures evaluated (coefficient of variation = 1.2; percent agreement = 91.9). Similarly, the low coefficient of variation (0.0) and high between-reader agreement (100%) indicate that age estimates obtained from sagittal otoliths were the most precise. Relatively high agreement between readers for anal fin spines (84%) and dorsal fin spines (81%) suggested the structures were relatively precise. However, age estimates from anal fin spines and dorsal fin spines exhibited low concordance with true ages. Although use of sagittal otoliths is a lethal technique, this method will likely remain the standard for aging Largemouth Bass and other similar black bass species.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0209","usgsCitation":"Klein, Z.B., Bonvechio, T.F., Bowen, B.R., and Quist, M.C., 2017, Precision and accuracy of age estimates obtained from anal fin spines, dorsal fin spines, and sagittal otoliths for known-age largemouth bass: Southeastern Naturalist, v. 16, no. 2, p. 225-234, https://doi.org/10.1656/058.016.0209.","productDescription":"10 p.","startPage":"225","endPage":"234","ipdsId":"IP-081472","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbc7","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":717337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonvechio, Timothy F.","contributorId":174468,"corporation":false,"usgs":false,"family":"Bonvechio","given":"Timothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":717338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Bryant R.","contributorId":198841,"corporation":false,"usgs":false,"family":"Bowen","given":"Bryant","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717336,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193537,"text":"70193537 - 2017 - Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota","interactions":[],"lastModifiedDate":"2017-11-06T10:25:06","indexId":"70193537","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota","docAbstract":"The Conservation Reserve Enhancement Program (CREP) targets high-priority conservation needs (e.g., water quality, wildlife habitat) by paying landowners an annual rental rate to remove environmentally sensitive or agriculturally unproductive lands from rowcrop production, and then implement conservation practices on these lands. This study examined motivations of South Dakota landowners for enrolling in the James River Basin CREP. All 517 newly enrolled landowners were mailed a questionnaire in 2014 measuring demographics, behaviors, opinions, and motivations (60% response rate). Cluster analysis of 10 motivations for enrolling identified three motivation groups (wildlife = 40%, financial = 35%, environmental = 25%). The financial group had the youngest mean age (62 years), followed by the wildlife (65) and environmental groups (68). Among respondents, 43% favored the public access requirement of this CREP with the environmental group most in favor. Understanding landowner enrollment motivations and decision criteria will assist in strategies (e.g., financial incentives, increasing yield via habitat restoration) for increasing future participation.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1324069","usgsCitation":"Pfrimmer, J., Gigliotti, L.M., Stafford, J., Schumann, D., and Bertrand, K., 2017, Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota: Human Dimensions of Wildlife, v. 22, no. 4, p. 382-389, https://doi.org/10.1080/10871209.2017.1324069.","productDescription":"8 p.","startPage":"382","endPage":"389","ipdsId":"IP-077042","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"James River Basin","volume":"22","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a00314fe4b0531197b5a744","contributors":{"authors":[{"text":"Pfrimmer, Jarrett","contributorId":199502,"corporation":false,"usgs":false,"family":"Pfrimmer","given":"Jarrett","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua","contributorId":199503,"corporation":false,"usgs":false,"family":"Stafford","given":"Joshua","affiliations":[{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":719304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumann, David","contributorId":199504,"corporation":false,"usgs":false,"family":"Schumann","given":"David","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bertrand, Katie","contributorId":199505,"corporation":false,"usgs":false,"family":"Bertrand","given":"Katie","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719306,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193818,"text":"70193818 - 2017 - Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","interactions":[],"lastModifiedDate":"2017-11-06T10:50:26","indexId":"70193818","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","title":"Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","docAbstract":"Salinity (5–30) effects on golden alga growth were determined at a standard laboratory temperature (22 °C) and one associated with natural blooms (13 °C). Inoculum-size effects were determined over a wide size range (100–100,000 cells ml−1). A strain widely distributed in the USA, UTEX-2797 was the primary study subject but another of limited distribution, UTEX-995 was used to evaluate growth responses in relation to genetic background. Variables examined were exponential growth rate (r), maximum cell density (max-D) and, when inoculum size was held constant (100 cells ml−1), density at onset of exponential growth (early-D). In UTEX-2797, max-D increased as salinity increased from 5 to ∼10–15 and declined thereafter regardless of temperature but r remained generally stable and only declined at salinity of 25–30. In addition, max-D correlated positively with r and early-D, the latter also being numerically highest at salinity of 15. In UTEX-995, max-D and r responded similarly to changes in salinity − they remained stable at salinity of 5–10 and 5–15, respectively, and declined at higher salinity. Also, max-D correlated with r but not early-D. Inoculum size positively and negatively influenced max-D and r, respectively, in both strains and these effects were significant even when the absolute size difference was small (100 versus 1000 cells ml−1). When cultured under similar conditions, UTEX-2797 grew faster and to much higher density than UTEX-995. In conclusion, (1) UTEX-2797’s superior growth performance may explain its relatively wide distribution in the USA, (2) the biphasic growth response of UTEX-2797 to salinity variation, with peak abundance at salinity of 10–15, generally mirrors golden alga abundance-salinity associations in US inland waters, and (3) early cell density – whether artificially manipulated or naturally attained – can influence UTEX-2797 bloom potential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2017.05.010","usgsCitation":"Rashel, R.H., and Patino, R., 2017, Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum): Harmful Algae, v. 66, p. 97-104, https://doi.org/10.1016/j.hal.2017.05.010.","productDescription":"8 p.","startPage":"97","endPage":"104","ipdsId":"IP-082874","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8d1e4b09af898c8cbb3","contributors":{"authors":[{"text":"Rashel, Rakib H.","contributorId":200015,"corporation":false,"usgs":false,"family":"Rashel","given":"Rakib","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":720653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193287,"text":"70193287 - 2017 - Seasonal movements of the Short-eared Owl (Asio flammeus) in western North America as revealed by satellite telemetry","interactions":[],"lastModifiedDate":"2017-11-01T16:38:03","indexId":"70193287","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal movements of the Short-eared Owl (Asio flammeus) in western North America as revealed by satellite telemetry","title":"Seasonal movements of the Short-eared Owl (Asio flammeus) in western North America as revealed by satellite telemetry","docAbstract":"The Short-eared Owl (Asio flammeus) is a widespread raptor whose abundance and distribution fluctuates in response to the varying amplitudes of its prey, which are predominately microtines. Previous efforts to describe the seasonal movements of Short-eared Owls have been hindered by few band recoveries and the species' cryptic and irruptive behavior. We attached satellite transmitters to adult Short-eared Owls at breeding areas in western and interior Alaska in June 2009 and July 2010, and tracked their movements for up to 19 mo. Owls initiated long-distance southward movements from Alaska and most followed a corridor east of the Rocky Mountains into the Prairie provinces and Great Plains states. Four owls followed a coastal route west of the Rocky Mountains, including one owl that crossed the Gulf of Alaska. Completed autumn migration distances ranged from 3205–6886 km (mean = 4722 ± 1156 km [SD]). Wintering areas spanned 21° of latitude from central Montana to southern Texas, and 24° of longitude from central California to western Kansas. Subsequent seasonal migrations were generally northward in spring and southward in autumn; these movements were comparatively short-distance (mean = 767.5 ± 517.4 km [SD]) and the owls exhibited low site fidelity. The Short-eared Owls we tracked from two relatively local breeding areas in Alaska used a patchwork of diverse open habitats across a large area of North America, which highlights that effective conservation of this species requires a collaborative, continental-scale focus.
","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-15-81.1","usgsCitation":"Johnson, J.A., Booms, T.L., DeCicco, L.H., and Douglas, D.C., 2017, Seasonal movements of the Short-eared Owl (Asio flammeus) in western North America as revealed by satellite telemetry: Journal of Raptor Research, v. 51, no. 2, p. 115-128, https://doi.org/10.3356/JRR-15-81.1.","productDescription":"14 p.","startPage":"115","endPage":"128","ipdsId":"IP-064603","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-15-81.1","text":"Publisher Index Page"},{"id":348053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd22e4b0531197b13c93","contributors":{"authors":[{"text":"Johnson, James A.","contributorId":199284,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":718553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCicco, Lucas H.","contributorId":199286,"corporation":false,"usgs":false,"family":"DeCicco","given":"Lucas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":718554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718551,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194726,"text":"70194726 - 2017 - A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans","interactions":[],"lastModifiedDate":"2017-12-14T12:25:54","indexId":"70194726","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2484,"text":"Journal of Toxicology and Environmental Health, Part B: Critical Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans","docAbstract":"The compound BMAA (β-N-methylamino-L-alanine) has been postulated to play a significant role in four serious neurological human diseases: Amyotrophic Lateral Sclerosis/Parkinsonism Dementia Complex (ALS/PDC) found on Guam, and ALS, Parkinsonism, and dementia that occur globally. ALS/PDC with symptoms of all three diseases first came to the attention of the scientific community during and after World War II. It was initially associated with cycad flour used for food because BMAA is a product of symbiotic cycad root-dwelling cyanobacteria. Human consumption of flying foxes that fed on cycad seeds was later suggested as a source of BMAA on Guam and a cause of ALS/PDC. Subsequently, the hypothesis was expanded to include a causative role for BMAA in other neurodegenerative diseases including Alzheimer’s disease (AD) through exposures attributed to proximity to freshwaters and/or consumption of seafood due to its purported production by most species of cyanobacteria. The hypothesis that BMAA is the critical factor in the genesis of these neurodegenerative diseases received considerable attention in the medical, scientific, and public arenas. This review examines the history of ALS/PDC and the BMAA-human disease hypotheses; similarities and differences between ALS/PDC and the other diseases with similar symptomologies; the relationship of ALS/PDC to other similar diseases, studies of BMAA-mediated effects in lab animals, inconsistencies and data gaps in the hypothesis; and other compounds and agents that were suggested as the cause of ALS/PDC on Guam. The review concludes that the hypothesis of a causal BMAA neurodegenerative disease relationship is not supported by existing data.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10937404.2017.1297592","usgsCitation":"Chernoff, N., Hill, D.J., Diggs, D.L., Faison, B.D., Francis, B.M., Lang, J.R., Larue, M.M., Le, T., Loftin, K.A., Lugo, J.N., Schmid, J.E., and Winnik, W.W., 2017, A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans: Journal of Toxicology and Environmental Health, Part B: Critical Reviews, v. 20, no. 4, p. 183-229, https://doi.org/10.1080/10937404.2017.1297592.","productDescription":"47 p.","startPage":"183","endPage":"229","ipdsId":"IP-085335","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":469809,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6503681","text":"External Repository"},{"id":349986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-09","publicationStatus":"PW","scienceBaseUri":"5a60fbbce4b06e28e9c2351d","contributors":{"authors":[{"text":"Chernoff, Neil","contributorId":25859,"corporation":false,"usgs":true,"family":"Chernoff","given":"Neil","email":"","affiliations":[],"preferred":false,"id":725024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, D. J.","contributorId":147377,"corporation":false,"usgs":false,"family":"Hill","given":"D.","email":"","middleInitial":"J.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":725025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diggs, D. L.","contributorId":201338,"corporation":false,"usgs":false,"family":"Diggs","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":725026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faison, B. D.","contributorId":201339,"corporation":false,"usgs":false,"family":"Faison","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":725027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Francis, B. M.","contributorId":201340,"corporation":false,"usgs":false,"family":"Francis","given":"B.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lang, J. R.","contributorId":201341,"corporation":false,"usgs":false,"family":"Lang","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":725029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larue, M. M.","contributorId":201342,"corporation":false,"usgs":false,"family":"Larue","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le, T.-T.","contributorId":201343,"corporation":false,"usgs":false,"family":"Le","given":"T.-T.","email":"","affiliations":[],"preferred":false,"id":725031,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":725023,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lugo, J. N.","contributorId":201344,"corporation":false,"usgs":false,"family":"Lugo","given":"J.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":725032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schmid, J. E.","contributorId":201345,"corporation":false,"usgs":false,"family":"Schmid","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winnik, W. W.","contributorId":201346,"corporation":false,"usgs":false,"family":"Winnik","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193783,"text":"70193783 - 2017 - Daily survival rate and habitat characteristics of nests of Wilson's Plover","interactions":[],"lastModifiedDate":"2017-11-06T08:10:19","indexId":"70193783","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Daily survival rate and habitat characteristics of nests of Wilson's Plover","docAbstract":"We assessed habitat characteristics and measured daily survival rate of 72 nests of Charadrius wilsonia (Wilson's Plover) during 2012 and 2013 on South Island and Sand Island on the central coast of South Carolina. At both study areas, nest sites were located at slightly higher elevations (i.e., small platforms of sand) relative to randomly selected nearby unused sites, and nests at each study area also appeared to be situated to enhance crypsis and/or vigilance. Daily survival rate (DSR) of nests ranged from 0.969 to 0.988 among study sites and years, and the probability of nest survival ranged from 0.405 to 0.764. Flooding and predation were the most common causes of nest failure at both sites. At South Island, DSR was most strongly related to maximum tide height, which suggests that flooding and overwash may be common causes of nest loss for Wilson's Plovers at these study sites. The difference in model results between the 2 nearby study sites may be partially due to more-frequent flooding at Sand Island because of some underlying yet unmeasured physiographic feature. Remaining data gaps for the species include regional assessments of nest and chick survival and habitat requirements during chick rearing.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0203","usgsCitation":"Zinsser, E., Sanders, F.J., Gerard, P., and Jodice, P.G., 2017, Daily survival rate and habitat characteristics of nests of Wilson's Plover: Southeastern Naturalist, v. 16, no. 2, p. 149-156, https://doi.org/10.1656/058.016.0203.","productDescription":"8 p.","startPage":"149","endPage":"156","ipdsId":"IP-073336","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Sand Island, South Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.2172622680664,\n 33.16658236914082\n ],\n [\n -79.15340423583984,\n 33.16658236914082\n ],\n [\n -79.15340423583984,\n 33.224903086263964\n ],\n [\n -79.2172622680664,\n 33.224903086263964\n ],\n [\n -79.2172622680664,\n 33.16658236914082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb5","contributors":{"authors":[{"text":"Zinsser, Elizabeth","contributorId":14315,"corporation":false,"usgs":false,"family":"Zinsser","given":"Elizabeth","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":720504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":720550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":720551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":720552,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193948,"text":"70193948 - 2017 - Understanding ecosystem services adoption by natural resource managers and research ecologists","interactions":[],"lastModifiedDate":"2017-11-17T15:23:34","indexId":"70193948","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Understanding ecosystem services adoption by natural resource managers and research ecologists","docAbstract":"The ecosystem services (ES) paradigm has gained much traction as a natural resource management approach due to its comprehensive nature and ability to provide quantitative tools to improve decision-making. However, it is still uncertain whether and how practitioners have adopted the ES paradigm into their work and how this aligns with resource management information needs. To address this, we surveyed natural resource managers within the Great Lakes region about their use of ES information in decision-making. We complemented our manager survey with in-depth interviews of a related population—research ecologists at the U.S. Geological Survey Great Lakes Science Center. In this study, managers and ecologists almost unanimously agreed that ES were appropriate to consider in resource management. We also found high congruence between managers and ecologists in the ES considered most relevant to their work, with provision of habitat, recreation and tourism, biological control, and primary production being the ES ranked highly by both groups. However, a disconnect arose when research ecologists deemed the information they provide regarding ES as adequate for management needs, but managers disagreed. Furthermore, managers reported that they would use economic information about ES if they had access to that information. We believe this data deficiency could represent a gap in scientific coverage by ecologists, but it may also simply reflect an underrepresentation of ecological economists who can translate ecological knowledge of ES providers into economic information that many managers desired.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.01.005","usgsCitation":"Engel, D., Evans, M.A., Low, B.S., and Schaeffer, J., 2017, Understanding ecosystem services adoption by natural resource managers and research ecologists: Journal of Great Lakes Research, v. 43, no. 3, p. 169-179, https://doi.org/10.1016/j.jglr.2017.01.005.","productDescription":"11 p.","startPage":"169","endPage":"179","ipdsId":"IP-074560","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":461529,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.01.005","text":"Publisher Index Page"},{"id":349078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbce4b06e28e9c23527","contributors":{"authors":[{"text":"Engel, Daniel dengel@usgs.gov","contributorId":189288,"corporation":false,"usgs":true,"family":"Engel","given":"Daniel","email":"dengel@usgs.gov","affiliations":[],"preferred":true,"id":721703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":721704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Low, Bobbi S.","contributorId":189289,"corporation":false,"usgs":false,"family":"Low","given":"Bobbi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":721702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193276,"text":"70193276 - 2017 - Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-11-11T15:17:58","indexId":"70193276","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico","docAbstract":"During breeding, foraging marine birds are under biological, geographic, and temporal constraints. These contraints require foraging birds to efficiently process environmental cues derived from physical habitat features that occur at nested spatial scales. Mesoscale oceanography in particular may change rapidly within and between breeding seasons, and findings from well-studied systems that relate oceanography to seabird foraging may transfer poorly to regions with substantially different oceanographic conditions. Our objective was to examine foraging behavior of a pan-tropical seabird, the Masked Booby (Sula dactylatra), in the understudied Caribbean province, a moderately productive region driven by highly dynamic currents and fronts. We tracked 135 individuals with GPS units during May 2013, November 2013, and December 2014 at a regionally important breeding colony in the southern Gulf of Mexico. We measured foraging behavior using characteristics of foraging trips and used area restricted search as a proxy for foraging events. Among individual attributes, nest stage contributed to differences in foraging behavior whereas sex did not. Birds searched for prey at nested hierarchical scales ranging from 200 m—35 km. Large-scale coastal and shelf-slope fronts shifted position between sampling periods and overlapped geographically with overall foraging locations. At small scales (at the prey patch level), the specific relationship between environmental variables and foraging behavior was highly variable among individuals but general patterns emerged. Sea surface height anomaly and velocity of water were the strongest predictors of area restricted search behavior in random forest models, a finding that is consistent with the characterization of the Gulf of Mexico as an energetic system strongly influenced by currents and eddies. Our data may be combined with tracking efforts in the Caribbean province and across tropical regions to advance understanding of seabird sensing of the environment and serve as a baseline for anthropogenic based threats such as development, pollution, and commercial fisheries.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0178318","usgsCitation":"Poli, C.L., Harrison, A., Vallarino, A., Gerard, P.D., and Jodice, P.G., 2017, Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico: PLoS ONE, v. 12, no. 6, Article e0178318; 24 p., https://doi.org/10.1371/journal.pone.0178318.","productDescription":"Article e0178318; 24 p.","ipdsId":"IP-079143","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0178318","text":"Publisher Index Page"},{"id":348611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Gulf of Mexico, Isla Muertos","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.83932495117188,\n 22.328481987166487\n ],\n [\n -89.57290649414062,\n 22.328481987166487\n ],\n [\n -89.57290649414062,\n 22.590556292249634\n ],\n [\n -89.83932495117188,\n 22.590556292249634\n ],\n [\n -89.83932495117188,\n 22.328481987166487\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-02","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb9","contributors":{"authors":[{"text":"Poli, Caroline L.","contributorId":199252,"corporation":false,"usgs":false,"family":"Poli","given":"Caroline","email":"","middleInitial":"L.","affiliations":[{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false},{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":718501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Autumn-Lynn","contributorId":199253,"corporation":false,"usgs":false,"family":"Harrison","given":"Autumn-Lynn","email":"","affiliations":[{"id":17600,"text":"Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":718502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallarino, Adriana","contributorId":199254,"corporation":false,"usgs":false,"family":"Vallarino","given":"Adriana","email":"","affiliations":[{"id":35488,"text":"Centro de Investigacion y de Estudios Unidad Merida","active":true,"usgs":false}],"preferred":false,"id":718503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, Patrick D.","contributorId":199255,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false}],"preferred":false,"id":718504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":718500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192846,"text":"70192846 - 2017 - The recent warming trend in North Greenland","interactions":[],"lastModifiedDate":"2017-11-17T10:49:13","indexId":"70192846","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The recent warming trend in North Greenland","docAbstract":"The Arctic is among the fastest warming regions on Earth, but it is also one with limited spatial coverage of multidecadal instrumental surface air temperature measurements. Consequently, atmospheric reanalyses are relatively unconstrained in this region, resulting in a large spread of estimated 30 year recent warming trends, which limits their use to investigate the mechanisms responsible for this trend. Here we present a surface temperature reconstruction over 1982–2011 at NEEM (North Greenland Eemian Ice Drilling Project, 51°W, 77°N), in North Greenland, based on the inversion of borehole temperature and inert gas isotope data. We find that NEEM has warmed by 2.7 ± 0.33°C over the past 30 years, from the long-term 1900–1970 average of −28.55 ± 0.29°C. The warming trend is principally caused by an increase in downward longwave heat flux. Atmospheric reanalyses underestimate this trend by 17%, underlining the need for more in situ observations to validate reanalyses.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL072212","usgsCitation":"Orsi, A.J., Kawamura, K., Masson-Delmotte, V., Fettweis, X., Box, J.E., Dahl-Jensen, D., Clow, G.D., Landais, A., and Severinghaus, J.P., 2017, The recent warming trend in North Greenland: Geophysical Research Letters, v. 44, no. 12, p. 6235-6243, https://doi.org/10.1002/2016GL072212.","productDescription":"9 p.","startPage":"6235","endPage":"6243","ipdsId":"IP-065150","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl072212","text":"Publisher Index Page"},{"id":349054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c23538","contributors":{"authors":[{"text":"Orsi, Anais J.","contributorId":140705,"corporation":false,"usgs":false,"family":"Orsi","given":"Anais","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kawamura, Kenji","contributorId":195041,"corporation":false,"usgs":false,"family":"Kawamura","given":"Kenji","email":"","affiliations":[],"preferred":false,"id":717178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masson-Delmotte, Valerie","contributorId":198808,"corporation":false,"usgs":false,"family":"Masson-Delmotte","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":717179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fettweis, Xavier","contributorId":198810,"corporation":false,"usgs":false,"family":"Fettweis","given":"Xavier","email":"","affiliations":[],"preferred":false,"id":717181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Box, Jason E.","contributorId":198809,"corporation":false,"usgs":false,"family":"Box","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":717180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dahl-Jensen, Dorthe","contributorId":198811,"corporation":false,"usgs":false,"family":"Dahl-Jensen","given":"Dorthe","email":"","affiliations":[],"preferred":false,"id":717182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":717176,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landais, Amaelle","contributorId":198812,"corporation":false,"usgs":false,"family":"Landais","given":"Amaelle","email":"","affiliations":[],"preferred":false,"id":717183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Severinghaus, Jeffrey P.","contributorId":140715,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":717184,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194492,"text":"70194492 - 2017 - Constraining the thermal history of the North American Midcontinent Rift System using carbonate clumped isotopes and organic thermal maturity indices","interactions":[],"lastModifiedDate":"2017-11-30T11:34:28","indexId":"70194492","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraining the thermal history of the North American Midcontinent Rift System using carbonate clumped isotopes and organic thermal maturity indices","docAbstract":"The Midcontinent Rift System (MRS) is a Late Mesoproterozoic (∼1.1 Ga) sequence of volcanic and sedimentary rocks exposed in the Lake Superior Region of North America. The MRS continues to be the focus of much research due to its economic mineral deposits as well as its archive of Precambrian life and tectonic processes. In order to constrain the post-depositional thermal history of the MRS, samples were analyzed for carbonate clumped isotope composition and organic thermal maturity. Clumped isotope values from sedimentary/early-diagenetic samples were partially reset during burial to temperatures between 68 and 75 °C. Solid-state reordering models indicate that maximum burial temperatures of 125–155 °C would reset the clumped isotope values to the observed temperature range prior to the onset of regional cooling and uplift. Clumped isotope results from late-stage veins in the White Pine Mine encompass a greater temperature range (49–116 °C), indicative of spatially variable hydrothermal activity and vein emplacement after burial temperatures fell below 100 °C during regional cooling and uplift. Clumped isotope and organic thermal maturity data do not indicate significant spatial differences in thermal history along the MRS. Observed variability in bulk organic matter composition and biomarker indices are therefore more likely a result of shifts in primary productivity or early-degradation processes. These results demonstrate that the MRS experienced a spatially consistent, relatively mild thermal history (125–155 °C) and is therefore a valuable archive for understanding the Late Mesoproterozoic environment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2017.03.022","usgsCitation":"Gallagher, T.M., Sheldon, N.D., Mauk, J.L., Petersen, S.V., Gueneli, N., and Brocks, J.J., 2017, Constraining the thermal history of the North American Midcontinent Rift System using carbonate clumped isotopes and organic thermal maturity indices: Precambrian Research, v. 294, p. 53-66, https://doi.org/10.1016/j.precamres.2017.03.022.","productDescription":"14 p.","startPage":"53","endPage":"66","ipdsId":"IP-080782","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2017.03.022","text":"Publisher Index Page"},{"id":349586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.4224853515625,\n 46.33175800051563\n ],\n [\n -87.462158203125,\n 46.33175800051563\n ],\n [\n -87.462158203125,\n 48.23565029755308\n ],\n [\n -92.4224853515625,\n 48.23565029755308\n ],\n [\n -92.4224853515625,\n 46.33175800051563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"294","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbce4b06e28e9c23520","contributors":{"authors":[{"text":"Gallagher, Timothy M.","contributorId":201012,"corporation":false,"usgs":false,"family":"Gallagher","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheldon, Nathan D.","contributorId":201013,"corporation":false,"usgs":false,"family":"Sheldon","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Sierra V.","contributorId":201014,"corporation":false,"usgs":false,"family":"Petersen","given":"Sierra","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":724103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gueneli, Nur","contributorId":201015,"corporation":false,"usgs":false,"family":"Gueneli","given":"Nur","email":"","affiliations":[],"preferred":false,"id":724104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brocks, Jochen J.","contributorId":201016,"corporation":false,"usgs":false,"family":"Brocks","given":"Jochen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724105,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193288,"text":"70193288 - 2017 - Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method ","interactions":[],"lastModifiedDate":"2017-12-11T13:10:19","indexId":"70193288","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method ","docAbstract":"Coastal hydrodynamics can be greatly affected by the presence of submerged aquatic vegetation. The effect of vegetation has been incorporated into the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System. The vegetation implementation includes the plant-induced three-dimensional drag, in-canopy wave-induced streaming, and the production of turbulent kinetic energy by the presence of vegetation. In this study, we evaluate the sensitivity of the flow and wave dynamics to vegetation parameters using Sobol' indices and a least squares polynomial approach referred to as Effective Quadratures method. This method reduces the number of simulations needed for evaluating Sobol' indices and provides a robust, practical, and efficient approach for the parameter sensitivity analysis. The evaluation of Sobol' indices shows that kinetic energy, turbulent kinetic energy, and water level changes are affected by plant density, height, and to a certain degree, diameter. Wave dissipation is mostly dependent on the variation in plant density. Performing sensitivity analyses for the vegetation module in COAWST provides guidance for future observational and modeling work to optimize efforts and reduce exploration of parameter space.
","language":"English","publisher":"EGU","doi":"10.5194/gmd-2017-107","usgsCitation":"Kalra, T., Aretxabaleta, A., Seshadri, P., Ganju, N., and Beudin, A., 2017, Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method : Geoscientific Model Development, v. 10, p. 4511-4523, https://doi.org/10.5194/gmd-2017-107.","productDescription":"13 p.","startPage":"4511","endPage":"4523","ipdsId":"IP-088722","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-2017-107","text":"Publisher Index Page"},{"id":348613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb7","contributors":{"authors":[{"text":"Kalra, Tarandeep S. 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":178820,"corporation":false,"usgs":true,"family":"Kalra","given":"Tarandeep S.","email":"tkalra@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":718555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":718556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seshadri, Pranay","contributorId":199287,"corporation":false,"usgs":false,"family":"Seshadri","given":"Pranay","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":718558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":718559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beudin, Alexis 0000-0001-9525-9450 abeudin@usgs.gov","orcid":"https://orcid.org/0000-0001-9525-9450","contributorId":178819,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","email":"abeudin@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":721678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193275,"text":"70193275 - 2017 - Otolith marking of juvenile shortnose gar by immersion in oxytetracycline","interactions":[],"lastModifiedDate":"2017-11-11T16:38:38","indexId":"70193275","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Otolith marking of juvenile shortnose gar by immersion in oxytetracycline","docAbstract":"Oxytetracycline (OTC) has been used to mark a variety of fish species at multiple developmental stages; however, there is little information on batch-marking Lepisosteidae. Juvenile Shortnose Gar Lepisosteus platostomus (53 ± 3 mm TL) were seined from an Oklahoma State University research pond and transported to the Oklahoma Fishery Research Lab. Juvenile Shortnose Gar were exposed to a range of OTC concentrations—0, 500, 600, and 700 mg/L—for 4, 5, or 6 h. Lapillus and sagitta otoliths were examined 14 d postexposure for mark presence and evaluation using fluorescent microscopy. Overall, 93.3% of otoliths exposed to OTC exhibited a mark. Concentration of OTC affected the mean mark quality, whereas duration and otolith type examined did not. However, as concentration increased, so did mortality, suggesting a balance is needed to achieve marking goals. Based on our findings, batch marking of Shortnose Gar can be successful at OTC concentrations from 500 to 700 mg/L for 4–6 h, although mark quality may vary and mortality rates increase at the higher concentrations and longer durations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1317679","usgsCitation":"Snow, R.A., and Long, J.M., 2017, Otolith marking of juvenile shortnose gar by immersion in oxytetracycline: North American Journal of Fisheries Management, v. 37, no. 4, p. 724-728, https://doi.org/10.1080/02755947.2017.1317679.","productDescription":"5 p.","startPage":"724","endPage":"728","ipdsId":"IP-081152","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbbb","contributors":{"authors":[{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":718499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192992,"text":"70192992 - 2017 - A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011","interactions":[],"lastModifiedDate":"2018-03-08T13:03:59","indexId":"70192992","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011","docAbstract":"Monitoring and mapping land cover changes are important ways to support evaluation of the status and transition of ecosystems. The Alaska National Land Cover Database (NLCD) 2001 was the first 30-m resolution baseline land cover product of the entire state derived from circa 2001 Landsat imagery and geospatial ancillary data. We developed a comprehensive approach named AKUP11 to update Alaska NLCD from 2001 to 2011 and provide a 10-year cyclical update of the state's land cover and land cover changes. Our method is designed to characterize the main land cover changes associated with different drivers, including the conversion of forests to shrub and grassland primarily as a result of wildland fire and forest harvest, the vegetation successional processes after disturbance, and changes of surface water extent and glacier ice/snow associated with weather and climate changes. For natural vegetated areas, a component named AKUP11-VEG was developed for updating the land cover that involves four major steps: 1) identify the disturbed and successional areas using Landsat images and ancillary datasets; 2) update the land cover status for these areas using a SKILL model (System of Knowledge-based Integrated-trajectory Land cover Labeling); 3) perform decision tree classification; and 4) develop a final land cover and land cover change product through the postprocessing modeling. For water and ice/snow areas, another component named AKUP11-WIS was developed for initial land cover change detection, removal of the terrain shadow effects, and exclusion of ephemeral snow changes using a 3-year MODIS snow extent dataset from 2010 to 2012. The overall approach was tested in three pilot study areas in Alaska, with each area consisting of four Landsat image footprints. The results from the pilot study show that the overall accuracy in detecting change and no-change is 90% and the overall accuracy of the updated land cover label for 2011 is 86%. The method provided a robust, consistent, and efficient means for capturing major disturbance events and updating land cover for Alaska. The method has subsequently been applied to generate the land cover and land cover change products for the entire state of Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2017.04.021","usgsCitation":"Jin, S., Yang, L., Zhu, Z., and Homer, C.G., 2017, A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011: Remote Sensing of Environment, v. 195, p. 44-55, https://doi.org/10.1016/j.rse.2017.04.021.","productDescription":"12 p.","startPage":"44","endPage":"55","ipdsId":"IP-082390","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"195","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a36e4b063d5d30980dc","contributors":{"authors":[{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhe 0000-0001-8283-6407 zhezhu@usgs.gov","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":168792,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhe","email":"zhezhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193122,"text":"70193122 - 2017 - Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears","interactions":[],"lastModifiedDate":"2017-11-01T16:48:55","indexId":"70193122","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears","docAbstract":"We evaluated total mercury (THg) concentrations and trends in polar bears from the southern Beaufort Sea subpopulation from 2004 to 2011. Hair THg concentrations ranged widely among individuals from 0.6 to 13.3 μg g–1 dry weight (mean: 3.5 ± 0.2 μg g–1). Concentrations differed among sex and age classes: solitary adult females ≈ adult females with cubs ≈ subadults > adult males ≈ yearlings > cubs-of-the-year ≈ 2 year old dependent cubs. No variation was observed between spring and fall samples. For spring-sampled adults, THg concentrations declined by 13% per year, contrasting recent trends observed for other Western Hemispheric Arctic biota. Concentrations also declined by 15% per year considering adult males only, while a slower, nonsignificant decrease of 4.4% per year was found for adult females. Lower THg concentrations were associated with higher body mass index (BMI) and higher proportions of lower trophic position food resources consumed. Because BMI and diet were related, and the relationship to THg was strongest for BMI, trends were re-evaluated adjusting for BMI as the covariate. The adjusted annual decline was not significant. These findings indicate that changes in foraging ecology, not declining environmental concentrations of mercury, are driving short-term declines in THg concentrations in southern Beaufort Sea polar bears.
","language":"English","publisher":"ACS Publishing","doi":"10.1021/acs.est.7b00812","usgsCitation":"McKinney, M.A., Atwood, T.C., Pedro, S., and Peacock, E.L., 2017, Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears: Environmental Science & Technology, v. 51, no. 14, p. 7814-7822, https://doi.org/10.1021/acs.est.7b00812.","productDescription":"9 p.","startPage":"7814","endPage":"7822","ipdsId":"IP-084265","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469786,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.7b00812","text":"Publisher Index Page"},{"id":438309,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71H2","text":"USGS data release","linkHelpText":"Polar Bear Hair Mercury Concentrations Southern Beaufort Sea 2004-2011"},{"id":348057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","volume":"51","issue":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"59fadd22e4b0531197b13c97","contributors":{"authors":[{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":718056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedro, Sara","contributorId":199068,"corporation":false,"usgs":false,"family":"Pedro","given":"Sara","email":"","affiliations":[],"preferred":false,"id":718057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":718058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193620,"text":"70193620 - 2017 - Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians","interactions":[],"lastModifiedDate":"2017-11-13T15:14:44","indexId":"70193620","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians","title":"Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians","docAbstract":"Glaucomys sabrinus fuscus (Virginia Northern Flying Squirrel; VNFS) is a rare Sciurid that occurrs in the Allegheny Mountains of eastern West Virginia and northwest Virginia. Previous work on this subspecies has confirmed close associations with Picea rubens (Red Spruce) at the landscape and stand levels in the region. However, ongoing Red Spruce restoration actions using canopy-gap creation to release single or small groups of trees requires a better understanding of within-stand habitat selection of VNFS to assess potential short- and medium-term impacts. To address these questions, we conducted a microhabitat study using radio-collared squirrels in montane conifer and mixed conifer—hardwood stands. We used points obtained from telemetry surveys and randomly generated points within each squirrel's home range to compare microhabitat variables for 13 individuals. We found that VNFS preferentially selected plots with conifer-dominant overstories and deep organic-soil horizons. VNFS avoided plots with dense Red Spruce regeneration in the understory in stands with hardwood-dominated overstories—the types of areas targeted for Red Spruce restoration. We also opportunistically searched for hypogeal fungi at telemetry points and found 3 species of Elaphomyces during our surveys. Our results indicate that microhabitat selection is associated with Red Spruce-dominant forests. Efforts to restore Red Spruce where hardwoods dominate in the central Appalachians may improve the connectivity and extent of habitat of VNFS.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.024.0209","usgsCitation":"Diggins, C.A., and Ford, W., 2017, Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians: Northeastern Naturalist, v. 24, no. 2, p. 173-190, https://doi.org/10.1656/045.024.0209.","productDescription":"18 p.","startPage":"173","endPage":"190","ipdsId":"IP-068510","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Appalachian Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.13565063476562,\n 38.39226254196437\n ],\n [\n -79.75799560546875,\n 38.39226254196437\n ],\n [\n -79.75799560546875,\n 38.60721278935162\n ],\n [\n -80.13565063476562,\n 38.60721278935162\n ],\n [\n -80.13565063476562,\n 38.39226254196437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-15","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2352b","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":721873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192964,"text":"70192964 - 2017 - Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus","interactions":[],"lastModifiedDate":"2017-11-07T12:32:37","indexId":"70192964","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus","title":"Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus","docAbstract":"Studies using neutral loci suggest that Pacific lamprey, Entosphenus tridentatus, lack strong spatial genetic population structure. However, it is unknown whether temporal genetic population structure exists. We tested whether adult Pacific lamprey: (1) show temporal genetic population structure; and (2) migrate different distances between years. We non-lethally sampled lamprey for DNA in 2009 and 2010 and used eight microsatellite loci to test for genetic population structure. We used telemetry to record the migration behaviors of these fish. Lamprey were assignable to three moderately differentiated genetic clusters (FST = 0.16–0.24 for all pairwise comparisons): one cluster was composed of individuals from 2009, and the other two contained individuals from 2010. The FST value between years was 0.13 and between genetic clusters within 2010 was 0.20. A total of 372 (72.5%) fish were detected multiple times during their migrations. Most fish (69.9%) remained in the mainstem Willamette River; the remaining 30.1% migrated into tributaries. Eighty-two lamprey exhibited multiple back-and-forth movements among tributaries and the mainstem, which may indicate searching behaviors. All migration distances were significantly greater in 2010, when the amplitude of river discharge was greater. Our data suggest genetic structuring between and within years that may reflect different cohorts.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3096-4","usgsCitation":"Clemens, B.J., Wyss, L.A., McCoun, R., Courter, I., Schwabe, L., Peery, C., Schreck, C.B., Spice, E.K., and Docker, M.F., 2017, Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus: Hydrobiologia, v. 794, no. 1, p. 223-240, https://doi.org/10.1007/s10750-017-3096-4.","productDescription":"18 p.","startPage":"223","endPage":"240","ipdsId":"IP-085011","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.4918212890625,\n 43.64800079902171\n ],\n [\n -121.78344726562499,\n 43.64800079902171\n ],\n [\n -121.78344726562499,\n 45.706179285330855\n ],\n [\n -123.4918212890625,\n 45.706179285330855\n ],\n [\n -123.4918212890625,\n 43.64800079902171\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"794","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbc5","contributors":{"authors":[{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wyss, Lance A.","contributorId":195114,"corporation":false,"usgs":false,"family":"Wyss","given":"Lance","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCoun, Rebecca","contributorId":200082,"corporation":false,"usgs":false,"family":"McCoun","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":720921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courter, Ian","contributorId":173188,"corporation":false,"usgs":false,"family":"Courter","given":"Ian","affiliations":[{"id":27180,"text":"Mount Hood Environmental","active":true,"usgs":false}],"preferred":false,"id":720922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwabe, Lawrence","contributorId":200083,"corporation":false,"usgs":false,"family":"Schwabe","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":720923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peery, Christopher","contributorId":200084,"corporation":false,"usgs":false,"family":"Peery","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":720924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":717453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spice, Erin K.","contributorId":200085,"corporation":false,"usgs":false,"family":"Spice","given":"Erin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":720925,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720926,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193272,"text":"70193272 - 2017 - Lizard activity and abundance greater in burned habitat of a xeric montane forest","interactions":[],"lastModifiedDate":"2017-11-20T14:04:08","indexId":"70193272","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Lizard activity and abundance greater in burned habitat of a xeric montane forest","docAbstract":"Restoring the natural or historical state of ecosystems is a common objective among resource managers, but determining whether desired system responses to management actions are occurring is often protracted and challenging. For wildlife, the integration of mechanistic habitat modeling with population monitoring may provide expedited measures of management effectiveness and improve understanding of how management actions succeed or fail to recover populations. Southern Appalachia is a region of high biodiversity that has undergone dramatic change as a result of human activities such as historic logging, exotic invasions, and alteration of disturbance regimes—including reduction in application of fire. Contemporary efforts to restore fire-maintained ecosystems within southern Appalachian forests require tools to assess the effects of fire management practices on individual animal fitness and relate them to corresponding influences on species abundance. Using automated sensing equipment, we investigated the effects of burned forests on reptile habitat suitability within the western portion of Great Smoky Mountains National Park, Tennessee. Specifically, we used microclimate measurements to model northern fence lizard Sceloporus undulatus hyacinthinus diurnal activity budgets in unburned and variable burn age (3–27-y) forest stands. We estimated northern fence lizard occurrence and abundance along transects through burned and unburned forests. Burned forest stands had microclimates that resulted in longer modeled daily activity periods under most conditions during summer. S. undulatus abundance was 4.75 times greater on burned stands compared to paired unburned stands, although the relationship between burn age and abundance was not well determined. Results suggest the more open habitat structure of burned areas within these xeric pine–oak forests may benefit S. undulatus.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/042016-JFWM-031","usgsCitation":"Fouts, K.L., Moore, C.T., Johnson, K.D., and Maerz, J.C., 2017, Lizard activity and abundance greater in burned habitat of a xeric montane forest: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 181-192, https://doi.org/10.3996/042016-JFWM-031.","productDescription":"12 p.","startPage":"181","endPage":"192","ipdsId":"IP-070416","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042016-jfwm-031","text":"Publisher Index Page"},{"id":349144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennesee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.99940490722656,\n 35.46458483260959\n ],\n [\n -83.62037658691406,\n 35.46458483260959\n ],\n [\n -83.62037658691406,\n 35.72477505905892\n ],\n [\n -83.99940490722656,\n 35.72477505905892\n ],\n [\n -83.99940490722656,\n 35.46458483260959\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c23535","contributors":{"authors":[{"text":"Fouts, Kevin L.","contributorId":199244,"corporation":false,"usgs":false,"family":"Fouts","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":718488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Kristine D.","contributorId":168716,"corporation":false,"usgs":false,"family":"Johnson","given":"Kristine","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":718489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":718490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192977,"text":"70192977 - 2017 - Comparison of burbot populations across adjacent native and introduced ranges","interactions":[],"lastModifiedDate":"2017-11-06T16:07:49","indexId":"70192977","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Comparison of burbot populations across adjacent native and introduced ranges","docAbstract":"Introduced species are a threat to biodiversity. Burbot, Lota lota, a fish native to the Wind River Drainage, Wyoming and a species of conservation concern, have been introduced into the nearby Green River Drainage, Wyoming, where they are having negative effects on native fish species. We compared these native and introduced burbot populations to evaluate potential mechanisms that could be leading to introduction success. We examined genetic ancestry, physical habitat characteristics, community composition, and burbot abundance, relative weight, and size structure between the native and introduced range to elucidate potential differences. The origin of introduced burbot in Flaming Gorge Reservoir is most likely Boysen Reservoir and several nearby river populations in the native Wind River Drainage. Burbot populations did not show consistent differences in abundance, size structure, and relative weight between drainages, though Fontenelle Reservoir, in the introduced drainage, had the largest burbot. There were also limited environmental and community composition differences, though reservoirs in the introduced drainage had lower species richness and a higher percentage of non-native fish species than the reservoir in the native drainage. Burbot introduction in the Green River Drainage is likely an example of reservoir construction creating habitat with suitable environmental conditions to allow a southwards range expansion of this cold-water species. An understanding of the factors driving introduction success can allow better management of species, both in their introduced and native range.
","language":"English","publisher":"REABIC","doi":"10.3391/ai.2017.12.2.12","usgsCitation":"Walters, A.W., Mandeville, E.G., Saunders, W.C., Gerrity, P.C., Skorupski, J.A., Underwood, Z.E., and Gardunio, E.I., 2017, Comparison of burbot populations across adjacent native and introduced ranges: Aquatic Invasions, v. 12, no. 2, p. 251-262, https://doi.org/10.3391/ai.2017.12.2.12.","productDescription":"12 p.","startPage":"251","endPage":"262","ipdsId":"IP-077779","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2017.12.2.12","text":"Publisher Index Page"},{"id":348305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River, Wind River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.335693359375,\n 41.000629848685385\n ],\n [\n -107.89672851562499,\n 41.000629848685385\n ],\n [\n -107.89672851562499,\n 43.671844983221604\n ],\n [\n -110.335693359375,\n 43.671844983221604\n ],\n [\n -110.335693359375,\n 41.000629848685385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8dde4b09af898c8cbc3","contributors":{"authors":[{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandeville, Elizabeth G.","contributorId":166947,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":720763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saunders, W. Carl","contributorId":46883,"corporation":false,"usgs":true,"family":"Saunders","given":"W.","email":"","middleInitial":"Carl","affiliations":[],"preferred":false,"id":720764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerrity, Paul C.","contributorId":104198,"corporation":false,"usgs":true,"family":"Gerrity","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skorupski, Joseph A.","contributorId":200037,"corporation":false,"usgs":false,"family":"Skorupski","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Underwood, Zachary E.","contributorId":166946,"corporation":false,"usgs":false,"family":"Underwood","given":"Zachary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gardunio, Eric I.","contributorId":200038,"corporation":false,"usgs":false,"family":"Gardunio","given":"Eric","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":720768,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}