{"pageNumber":"717","pageRowStart":"17900","pageSize":"25","recordCount":184553,"records":[{"id":70207023,"text":"70207023 - 2019 - Subhourly mesoscale analysis of the 2011-2017 North American monsoon near its northwest boundary","interactions":[],"lastModifiedDate":"2019-12-03T12:12:16","indexId":"70207023","displayToPublicDate":"2019-07-21T12:10:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Subhourly mesoscale analysis of the 2011-2017 North American monsoon near its northwest boundary","docAbstract":"The North American Monsoon (NAM) delivers precipitation to the southwestern USA during the warm-dry summer season. The seasonal extent of NAM precipitation is highly variable and is likely to change under future climate change. Our objective was to determine how large scale monsoonal patterns as well as local variables influence precipitation events near the NAM northwest boundary. Intra- and inter-annual changes in the northwest sector of the NAM were represented by subhourly weather data collected on the Sheep Range (2300 m asl), in the Mojave Desert of southern Nevada, during 2011-2017. Our study site is part of the Nevada Climate-ecohydrological Assessment Network (NevCAN), an automated observing system established in early 2011. Three seasons were classified using the subhourly weather data including: 1) cool season, 2) early warm season, 3) and late warm season, where the transition between early and late warm season was marked by the day when in situ dewpoint temperature first exceeded 9.4 ºC. Based on analysis of covariance (ANCOVA), dewpoint temperature had the greatest relationship with total hourly precipitation, followed by vapor pressure deficit, solar radiation, and air temperature. The only significant interaction term was between hour of the day and dewpoint temperature, highlighting the importance of dewpoint temperature for afternoon thunderstorms, which are typical of monsoonal precipitation. Besides in situ meteorological variables, we also analyzed NCEP/NCAR vertically integrated water vapor transport (IVT) and long-term 800-m PRISM precipitation time series. Regional composites were developed for IVT for the three seasons. Water vapor in the cool and early warm season originated mostly from the Pacific Ocean, while a transition in IVT to a NAM pattern occurred in the late warm season. Overall, this highly instrumented yet remote site was representative of NAM precipitation, despite noticeable variability in its timing and amount.","language":"English","publisher":"Royal Meteorological Society","doi":"10.3390/atmos10070420","usgsCitation":"Truettner, C., Dettinger, M.D., Ziaco, E., Czank, A., and Biondi, F., 2019, Subhourly mesoscale analysis of the 2011-2017 North American monsoon near its northwest boundary: International Journal of Climatology, v. 10, no. 7, 420, https://doi.org/10.3390/atmos10070420.","productDescription":"420","ipdsId":"IP-101640","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/atmos10070420","text":"Publisher Index Page"},{"id":369875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.158203125,\n              34.92197103616377\n            ],\n            [\n              -113.48876953125,\n              34.92197103616377\n            ],\n            [\n              -113.48876953125,\n              37.09023980307208\n            ],\n            [\n              -117.158203125,\n              37.09023980307208\n            ],\n            [\n              -117.158203125,\n              34.92197103616377\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Truettner, Charles","contributorId":169536,"corporation":false,"usgs":false,"family":"Truettner","given":"Charles","email":"","affiliations":[{"id":25558,"text":"Norther Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":776545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":776544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziaco, Emanuele","contributorId":220998,"corporation":false,"usgs":false,"family":"Ziaco","given":"Emanuele","email":"","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":776546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Czank, Adam","contributorId":220999,"corporation":false,"usgs":false,"family":"Czank","given":"Adam","email":"","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":776547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biondi, Franco","contributorId":221000,"corporation":false,"usgs":false,"family":"Biondi","given":"Franco","email":"","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":776548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204575,"text":"70204575 - 2019 - Movement and mortality of Atlantic salmonkelts (Salmo salar) released into thePenobscot River, Maine","interactions":[],"lastModifiedDate":"2019-08-05T15:01:54","indexId":"70204575","displayToPublicDate":"2019-07-20T13:33:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movement and mortality of Atlantic salmonkelts (<i>Salmo salar</i>) released into the Penobscot River, Maine","title":"Movement and mortality of Atlantic salmonkelts (Salmo salar) released into thePenobscot River, Maine","docAbstract":"The Penobscot River is home to the last major run of Atlantic salmon (Salmo salar) in the United States. For over one century, the river has been stocked intensively. Since the late 1970s, most kelts are released to the Penobscot River estuary following spawning in a hatchery. Over that time, the proportion of the run made up of iteroparous individuals has declined to < 1%. These fish may make a disproportionate contribution to the spawning population because they are typically large and produce more eggs than virgin spawners. We radio-tagged 55 kelts that were artificially spawned at the Craig Brook National Fish Hatchery in 2015 and released them in two different locations in the river (head of tide and ~50 km upstream) to assess 1) when hatchery-spawned kelts leave the river, 2) whether release location influences river exit timing, and 3) if kelts from the upper river could successfully outmigrate through the lower Penobscot River’s hydroelectric complex. The kelts were tracked from November 2015 to July 2016. Although some fish from both release groups were documented leaving the system within one month, the majority of fish (84%) overwintered in freshwater habitat. Many (71%) of those kelts that overwintered in the Penobscot River made directed, upstream movements in November and December. However, there was no difference in upstream movement rates, timing of outmigration, or survival between the release groups. Survival to outmigration was 23.6%, which is considerably lower than kelt survival documented in Canadian and European rivers. Low survival to outmigration may have contributed to the disappearance of iteroparous individuals from the Penobscot River run of Atlantic salmon over the last four decades.","language":"English","doi":"10.7755/FB.116.3-4.6","usgsCitation":"George A. Maynard, Izzo, L.K., and Zydlewski, J.D., 2019, Movement and mortality of Atlantic salmonkelts (Salmo salar) released into thePenobscot River, Maine: Fishery Bulletin, v. 116, no. 3-4, p. 281-290, https://doi.org/10.7755/FB.116.3-4.6.","productDescription":"10 p.","startPage":"281","endPage":"290","ipdsId":"IP-085930","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7755/fb.116.3-4.6","text":"Publisher Index Page"},{"id":366275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","city":"Orrington","otherGeospatial":"West Enfield Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69,\n              44.41667\n            ],\n            [\n              -68.83333,\n              44.41667\n            ],\n            [\n              -68.83333,\n              46.25\n            ],\n            [\n              -69,\n              46.25\n            ],\n            [\n              -69,\n              44.41667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"George A. Maynard","contributorId":217830,"corporation":false,"usgs":false,"family":"George A. Maynard","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":767615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izzo, Lisa K.","contributorId":217831,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":767616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":767614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204828,"text":"70204828 - 2019 - Temperature-dependent variations in mineralogy, major element chemistry and the stable isotopes of boron, lithium and chlorine resulting from hydration of rhyolite glass: Constraints from hydrothermal experiments at 150 to 350°C and 25 MPa","interactions":[],"lastModifiedDate":"2019-08-19T15:18:07","indexId":"70204828","displayToPublicDate":"2019-07-19T15:13:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Temperature-dependent variations in mineralogy, major element chemistry and the stable isotopes of boron, lithium and chlorine resulting from hydration of rhyolite glass: Constraints from hydrothermal experiments at 150 to 350°C and 25 MPa","docAbstract":"<p><span>Rhyolite-hosted hydrothermal systems in the continental crust contain valuable energy and mineral resources that make them of special interest across several scientific disciplines. Despite extensive research on these systems, the temperature-dependence of chemical reactions between host rocks and aqueous-rich fluids and the mineralogical transformations resulting from these reactions are not well quantified. To expand our understanding of the controlling processes operating in these systems, we carried out seven laboratory experiments in which rhyolite was reacted with deionized water at 150 °C to 350 °C and 25 MPa. An additional experiment at 200 °C was carried out to examine the effect of dissolved CO</span><sub>2</sub><span>&nbsp;on the reactions. The overarching goal of this experimental study was to provide new insights on the temperature-dependence of water-rock interaction in continental hydrothermal systems. We applied a wide range of chemical, isotopic and mineralogical methods to analyze the reacted rhyolite and waters, and the major observations are: (1) the rhyolite progressively hydrates with increasing temperature between 150 °C to a maximum of 8.2 wt% H</span><sub>2</sub><span>O at 275 °C; hydration then decreases until 350 °C in conjunction with the destruction of the rhyolite glass and crystallization of secondary mineral phases; (2) the ratio of molecular water (H</span><sub>2</sub><span>O</span><sub>m</sub><span>) to hydroxyl (OH</span><sup>−</sup><span>) of the water that is dissolved in the reacted rhyolite decreases from ∼7 at 150 °C to ∼4 at 250 °C; (3) the main secondary minerals formed are the zeolite ferrierite (T ≥ 275 °C); biotite, albite and cristobalite mainly form at higher experimental temperatures (T ≥ 300 °C); (4) the reacted waters are nearly saturated with respect to amorphous silica; (5) at temperatures ≥ 275 °C nearly all the chlorine is leached into solution; (6) fluorine leaching from the rhyolite gradually increases between 150 °C and 250 °C, but then gradually decreases at higher temperatures and is incorporated into a secondary mineral phase; (7) dissolved CO</span><sub>2</sub><span>&nbsp;in the water enhances alkali metal cation leaching from the rhyolite; and (8) calculated Na-K and silica geothermometer temperatures differ from the experimental temperatures by varying amounts. In addition, apart from some small lithium isotope fractionation at temperatures ≤ 250 °C, the stable isotopes of boron, lithium and chlorine do not fractionate during rhyolite-water reactions, and the stable isotope compositions of these species in the reacted water are similar to those in the reactant rhyolite. These results provide new insights for a broad range of applications, including quantifying processes involving rhyolite glass hydration (obsidian hydration dating, perlite formation and discriminating secondary from magmatic water in rhyolitic matrix-glass of volcanic pyroclasts), for geothermal energy and mineral deposit exploration and for monitoring volcanoes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.07.012","collaboration":"University of Texas, University of Maryland, University of Bremen","usgsCitation":"Cullen, J.T., Hurwitz, S., Barnes, J.D., John C. Lassiter, Penniston-Dorland, S., Kasemann, S., and Thordsen, J., 2019, Temperature-dependent variations in mineralogy, major element chemistry and the stable isotopes of boron, lithium and chlorine resulting from hydration of rhyolite glass: Constraints from hydrothermal experiments at 150 to 350°C and 25 MPa: Geochimica et Cosmochimica Acta, v. 261, p. 269-287, https://doi.org/10.1016/j.gca.2019.07.012.","productDescription":"19 p.","startPage":"269","endPage":"287","ipdsId":"IP-106122","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":467436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2019.07.012","text":"Publisher Index Page"},{"id":366658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"261","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cullen, Jeffery T.","contributorId":218176,"corporation":false,"usgs":false,"family":"Cullen","given":"Jeffery","email":"","middleInitial":"T.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":768629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":768628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Jaime D.","contributorId":218177,"corporation":false,"usgs":false,"family":"Barnes","given":"Jaime","email":"","middleInitial":"D.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":768630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"John C. Lassiter","contributorId":218178,"corporation":false,"usgs":false,"family":"John C. Lassiter","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":768631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Penniston-Dorland, Sarah","contributorId":218179,"corporation":false,"usgs":false,"family":"Penniston-Dorland","given":"Sarah","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":768632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kasemann, Simone","contributorId":218180,"corporation":false,"usgs":false,"family":"Kasemann","given":"Simone","email":"","affiliations":[{"id":24749,"text":"University of Bremen","active":true,"usgs":false}],"preferred":false,"id":768633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thordsen, James 0000-0001-9809-0398 jthordsn@usgs.gov","orcid":"https://orcid.org/0000-0001-9809-0398","contributorId":205838,"corporation":false,"usgs":true,"family":"Thordsen","given":"James","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":768634,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205850,"text":"70205850 - 2019 - Long-term (37 years) impacts of low-head dams on freshwater shrimp habitat connectivity in northeastern Puerto Rico","interactions":[],"lastModifiedDate":"2019-10-08T12:45:28","indexId":"70205850","displayToPublicDate":"2019-07-19T12:43:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Long-term (37 years) impacts of low-head dams on freshwater shrimp habitat connectivity in northeastern Puerto Rico","docAbstract":"Freshwater migratory shrimp in Puerto Rico depend on watershed connectivity, from stream headwaters to the ocean, to complete their life cycle. Moreover, shrimp populations in different watersheds are known to be connected in an island-wide metapopulation. However, low-head dams paired with water intakes on streams draining the El Yunque National Forest (EYNF) reduce streamflow. Here, we examine the cumulative effects of low-head dams on shrimp habitat connectivity over 37-years across seven EYNF watersheds. We calculate total and refugia habitat connectivity (where refugia habitat is defined as predator-free upstream reaches above waterfalls > 5 m in height) at a monthly time step using a habitat-weighted index of longitudinal riverine connectivity, which incorporates location and operation of water intakes and streamflow variability. Findings indicate total and refugia habitat connectivity declined over 37 years (by 27% and 16%, respectively) as additional water intakes have been placed in lower reaches of watersheds. On a monthly time-step, the proportion of streamflow withdrawn has the largest effect on habitat connectivity, with the result that connectivity is ~17% lower during drought years than in non-drought years and ~7% lower in dry compared to wet seasons. Our analysis of this long-term dataset highlights how cumulative effects of low-head dams paired with water intakes have reduced shrimp habitat connectivity. These results underscore the importance of reducing existing withdrawal rates in EYNF, and locating intakes where effects on connectivity are minimal, if conserving shrimp habitat is a management objective.","language":"English","publisher":"Wiley","doi":"10.1002/rra.3499","usgsCitation":"Chappell, J., McKay, S.K., Freeman, M., and Pringle, C.M., 2019, Long-term (37 years) impacts of low-head dams on freshwater shrimp habitat connectivity in northeastern Puerto Rico: River Research and Applications, v. 35, no. 7, p. 1034-1043, https://doi.org/10.1002/rra.3499.","productDescription":"10 p.","startPage":"1034","endPage":"1043","ipdsId":"IP-105657","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3499","text":"Publisher Index 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,{"id":70205017,"text":"70205017 - 2019 - Virus-like particle production in atmospheric eubacteria isolates","interactions":[],"lastModifiedDate":"2019-08-28T12:45:30","indexId":"70205017","displayToPublicDate":"2019-07-19T12:41:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5634,"text":"Atmosphere","active":true,"publicationSubtype":{"id":10}},"title":"Virus-like particle production in atmospheric eubacteria isolates","docAbstract":"Culturable eubacterial isolates were collected at various altitudes in Earth’s atmosphere to include ~1.5 m above ground in Tallahassee, Florida, USA, ~10.0 m above sea level over the mid-Atlantic ridge (~15oN), ~ 20 km above ground over the continental United States, ~20 km above sea level over the Pacific Ocean near southern California and from the atmosphere of Carlsbad Cavern, Carlsbad Cavern National Park, New Mexico, USA. Isolates were screened for the presence of inducible virus-like particles (VLP) through use of mitomycin C and epifluorescent direct counts. We determined that 92.7% of the isolates carried inducible (VLP) counts in exposed versus non-exposed culture controls and that the relationship was statistically significant. Further statistical analyses revealed that the numbers of isolates that demonstrated VLP production did not vary among collection sites. These data demonstrate a high prevalence of VLP generation in isolates collected in the lower atmosphere and at extreme altitudes. Also shows that species of eubacteria that are resistant to the rigors of atmospheric transport play a significant role in long-range atmospheric inter- and intra-continental dispersion of VLP and that long-range atmospheric transport of VLP may enhance rates of evolution at the microbial scale in receiving environments.","language":"English","publisher":"MDPI","doi":"10.3390/atmos10070417","usgsCitation":"Nuria Teigell-Perez, Cristina Gonzalez-Martin, Basilio Valladares, David J. Smith, and Griffin, D.W., 2019, Virus-like particle production in atmospheric eubacteria isolates: Atmosphere, v. 10, no. 7, 417, 12 p., https://doi.org/10.3390/atmos10070417.","productDescription":"417, 12 p.","ipdsId":"IP-045019","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467438,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/atmos10070417","text":"Publisher Index Page"},{"id":367016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Nuria Teigell-Perez","contributorId":218568,"corporation":false,"usgs":false,"family":"Nuria Teigell-Perez","affiliations":[{"id":39874,"text":"Univ Inst of Tropical Diseases and Public Health, Canary Islands","active":true,"usgs":false}],"preferred":false,"id":769582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cristina Gonzalez-Martin","contributorId":218566,"corporation":false,"usgs":false,"family":"Cristina Gonzalez-Martin","affiliations":[{"id":39874,"text":"Univ Inst of Tropical Diseases and Public Health, Canary Islands","active":true,"usgs":false}],"preferred":false,"id":769580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Basilio Valladares","contributorId":218565,"corporation":false,"usgs":false,"family":"Basilio Valladares","affiliations":[{"id":39874,"text":"Univ Inst of Tropical Diseases and Public Health, Canary Islands","active":true,"usgs":false}],"preferred":false,"id":769579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David J. Smith","contributorId":218567,"corporation":false,"usgs":false,"family":"David J. Smith","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":769581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769578,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204708,"text":"70204708 - 2019 - Rapid inundation of the southern Florida coastline despite low relative sea-level rise rates during the late-Holocene","interactions":[],"lastModifiedDate":"2019-08-12T10:40:08","indexId":"70204708","displayToPublicDate":"2019-07-19T10:30:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Rapid inundation of the southern Florida coastline despite low relative sea-level rise rates during the late-Holocene","docAbstract":"<p><span>Sediment cores from Florida Bay, Everglades National Park were examined to determine ecosystem response to relative sea-level rise (RSLR) over the Holocene. High-resolution multiproxy analysis from four sites show freshwater wetlands transitioned to mangrove environments 4–3.6 ka, followed by estuarine environments 3.4–2.8 ka, during a period of enhanced climate variability. We calculate a RSLR rate of 0.67 ± 0.1 mm yr</span><sup>−1</sup><span>&nbsp;between ~4.2–2.8 ka, 4–6 times lower than current rates. Despite low RSLR rates, the rapid mangrove to estuarine transgression was facilitated by a period of prolonged droughts and frequent storms. These findings suggest that with higher and accelerating RSLR today, enhanced climate variability could further hasten the loss of mangrove-lined coastlines, compounded by the reductions in natural flow to the coast caused by water management. Climate variability is nonlinear, and when superimposed on increases in RSLR, can complicate estimated trajectories of coastal inundation for resource management and urban planning.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-11138-4","usgsCitation":"Jones, M., Wingard, G.L., Stackhouse, B., Keller, K., Willard, D.A., Marot, M.E., Landacre, B.D., and Bernhardt, C.E., 2019, Rapid inundation of the southern Florida coastline despite low relative sea-level rise rates during the late-Holocene: Nature Communications, v. 10, no. 1, 3231, 13 p., https://doi.org/10.1038/s41467-019-11138-4.","productDescription":"3231, 13 p.","ipdsId":"IP-099502","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":467439,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-11138-4","text":"Publisher Index Page"},{"id":366473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, Belize, Cuba, Dominican Republic, Haiti, United States, Venezuela","state":"Florida","otherGeospatial":"Florida Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.123046875,\n              26.15543796871355\n            ],\n            [\n              -85.4296875,\n              22.024545601240337\n            ],\n            [\n              -88.505859375,\n              18.187606552494625\n            ],\n            [\n              -88.76953125,\n              16.003575733881327\n            ],\n            [\n              -83.671875,\n              16.25686733062344\n            ],\n            [\n              -66.9287109375,\n              11.43695521614319\n            ],\n            [\n              -65.9619140625,\n              10.876464994816295\n            ],\n            [\n              -64.51171875,\n              10.746969318460001\n            ],\n            [\n              -68.37890625,\n              19.518375478601566\n            ],\n            [\n              -76.46484375,\n              25.799891182088334\n            ],\n            [\n              -77.0361328125,\n              27.176469131898898\n            ],\n            [\n              -81.123046875,\n              26.15543796871355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Miriam 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":201994,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":768145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":768146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stackhouse, Bethany 0000-0003-0925-7120","orcid":"https://orcid.org/0000-0003-0925-7120","contributorId":218047,"corporation":false,"usgs":true,"family":"Stackhouse","given":"Bethany","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":768147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":768148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":768149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landacre, Bryan D. 0000-0002-0523-360X blandacre@usgs.gov","orcid":"https://orcid.org/0000-0002-0523-360X","contributorId":2722,"corporation":false,"usgs":true,"family":"Landacre","given":"Bryan","email":"blandacre@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":768151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":768152,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204093,"text":"fs20193036 - 2019 - Volcanic hazards in the Pacific U.S. Territories","interactions":[],"lastModifiedDate":"2019-11-11T13:08:21","indexId":"fs20193036","displayToPublicDate":"2019-07-19T08:57:48","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3036","displayTitle":"Volcanic Hazards in the Pacific U.S. Territories ","title":"Volcanic hazards in the Pacific U.S. Territories","docAbstract":"<div>The Commonwealth of the Northern Mariana Islands, Guam, and American Samoa lie along the western side of the famed Pacific Ring of Fire. Here, the processes of active island and submarine&nbsp;volcanoes produce activity&nbsp;both underwater and in the&nbsp;atmosphere that poses potential&nbsp;hazards to the daily lives of&nbsp;residents and travelers. Since&nbsp;2000, CNMI volcanoes have erupted six times, and one submarine&nbsp;volcano has been active&nbsp;in American Samoa.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193036","usgsCitation":"Tepp, G., Shiro, B., and Chadwick, W., 2019, Volcanic hazards in the Pacific U.S. territories: U.S. Geological Survey Fact Sheet 2019–3036, 6 p., https://doi.org/10.3133/fs20193036.","productDescription":"Report: 6 p.","numberOfPages":"6","ipdsId":"IP-104580","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":365719,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3036/coverthb.jpg"},{"id":365720,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3036/fs20193036.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3036"}],"country":"United States","otherGeospatial":"American Samoa. Commonwealth of the Northern Mariana Islands, Guam, Pacific U. S. Territories","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              144.11865234375,\n              12.661777510388525\n            ],\n            [\n              147.01904296875,\n              12.661777510388525\n            ],\n            [\n              147.01904296875,\n              21.22794190505815\n            ],\n            [\n              144.11865234375,\n              21.22794190505815\n            ],\n            [\n              144.11865234375,\n              12.661777510388525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:tlmurray@usgs.gov\" href=\"mailto:tlmurray@usgs.gov\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-07-19","noUsgsAuthors":false,"publicationDate":"2019-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":765447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":765448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chadwick, William W.","contributorId":216757,"corporation":false,"usgs":false,"family":"Chadwick","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":39510,"text":"NOAA/CIMRS","active":true,"usgs":false}],"preferred":false,"id":765449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215389,"text":"70215389 - 2019 - Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine","interactions":[],"lastModifiedDate":"2024-05-16T13:57:09.889555","indexId":"70215389","displayToPublicDate":"2019-07-19T08:44:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Accurate and timely information on the distribution of irrigated croplands is crucial to research on agriculture, water availability, land use, and climate change. While agricultural land use has been well characterized, less attention has been paid specifically to croplands that are irrigated, in part due to the difficulty in mapping and distinguishing irrigation in satellite imagery. In this study, we developed a semi-automatic training approach to rapidly map irrigated croplands across the conterminous United States (CONUS) at 30 m resolution using Google Earth Engine. To resolve the issue of lacking nationwide training data, we generated two intermediate irrigation maps by segmenting Landsat-derived annual maximum greenness and enhanced vegetation index using county-level thresholds calibrated from an existing coarse resolution irrigation map. The resulting intermediate maps were then spatially filtered to provide a training data pool for most areas except for the upper midwestern states where we visually collected samples. We then used random samples extracted from the training pool along with remote sensing-derived features and climate variables to train ecoregion-stratified random forest classifiers for pixel-level classification. For ecoregions with a large training pool, the procedure of sample extraction, classifier training, and classification was conducted 10 times to obtain stable classification results. The resulting 2012 Landsat-based irrigation dataset (LANID) identified 23.3 million hectares of irrigated croplands in CONUS. A quantitative assessment of LANID showed superior accuracy to currently available maps, with a mean Kappa value of 0.88 (0.75–0.99), overall accuracy of 94% (87.5–99%), and producer’s and user’s accuracy of the irrigation class of 97.3% and 90.5%, respectively, at the aquifer level. Evaluation of feature importance indicated that Landsat-derived features played the primary role in classification in relatively arid regions while climate variables were important in the more humid eastern states. This methodology has the potential to produce annual irrigation maps for CONUS and provide insights into the field-level spatial and temporal aspects of irrigation.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2019.07.005","usgsCitation":"Xie, Y., Lark, T.J., Brown, J.F., and Gibbs, H., 2019, Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine: ISPRS Journal of Photogrammetry and Remote Sensing, v. 155, p. 136-149, https://doi.org/10.1016/j.isprsjprs.2019.07.005.","productDescription":"14 p.","startPage":"136","endPage":"149","ipdsId":"IP-109078","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467440,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2019.07.005","text":"Publisher Index Page"},{"id":379490,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n            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,{"id":70204355,"text":"70204355 - 2019 - Reactivity of As and U co-occurring in mine wastes in northeastern Arizona","interactions":[],"lastModifiedDate":"2019-07-23T14:21:36","indexId":"70204355","displayToPublicDate":"2019-07-19T07:33:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Reactivity of As and U co-occurring in mine wastes in northeastern Arizona","docAbstract":"<p><span>The reactivity of co-occurring arsenic (As) and uranium (U) in mine wastes was investigated using batch reactors, microscopy, spectroscopy, and aqueous chemistry. Analyses of field samples collected in proximity to mine wastes in northeastern Arizona confirm the presence of As and U in soils and surrounding waters, as reported in a previous study from our research group. In this study, we measured As (&lt;0.500 to 7.77 μg/L) and U (0.950 to 165 μg/L) in waters, as well as mine wastes (&lt;20.0 to 40.0 mg/kg As and &lt;60.0 to 110 mg/kg U) and background solids (&lt;20.0 mg/kg As and &lt;60.0 mg/kg U). Analysis with X-ray fluorescence (XRF) and electron microprobe show the co-occurrence of As and U with iron (Fe) and vanadium (V). These field conditions served as a foundation for additional laboratory experiments to assess the reactivity of metals in these mine wastes. Results from laboratory experiments indicate that labile and exchangeable As(V) was released to solution when solids were sequentially reacted with water and magnesium chloride (MgCl</span><sub>2</sub><span>), while limited U was released to solution with the same reactants. The predominance of As(V) in mine waste solids was confirmed by X-ray absorption near edge (XANES) analysis. Both As and U were released to solution after reaction of solids in batch experiments with HCO</span><sub>3</sub><sup>−</sup><span>. Both X-ray photoelectron spectroscopy (XPS) and XANES analysis determined the predominance of Fe(III) in the solids. Mössbauer spectroscopy detected the presence of nano-crystalline goethite, Fe(II) and Fe(III) in (phyllo)silicates, and an unidentified mineral with parameters consistent with arsenopyrite or jarosite in the mine waste solids. Our results suggest that As and U can be released under environmentally relevant conditions in mine waste, which is applicable to risk and exposure assessment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2019.05.024","usgsCitation":"Blake, J., Avasarala, S., Ali, A., Spilde, M., Lezama-Pacheco, J., Latta, D., Artyushkova, K., Ilgen, A., Shuey, C., Nez, C., and Cerrato, J., 2019, Reactivity of As and U co-occurring in mine wastes in northeastern Arizona: Chemical Geology, v. 522, p. 26-37, https://doi.org/10.1016/j.chemgeo.2019.05.024.","productDescription":"12 p.","startPage":"26","endPage":"37","ipdsId":"IP-094541","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":467441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1691565","text":"Publisher Index 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,{"id":70245418,"text":"70245418 - 2019 - Alternative sea lamprey barrier technologies: History as a control tool","interactions":[],"lastModifiedDate":"2023-06-23T12:09:33.658178","indexId":"70245418","displayToPublicDate":"2019-07-19T07:06:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5984,"text":"Reviews in Fisheries Science and Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Alternative sea lamprey barrier technologies: History as a control tool","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Currently, application of lampricides and installation of low-head barriers are the only proven means of sea lamprey (<i>Petromyzon marinus</i>) control in the Great Lakes. While sea lamprey cannot climb or jump over low-head barriers, many desirable migratory species also cannot traverse barriers and are unintentionally blocked. Recently, there has been a push to reduce reliance on chemical controls as well as increase stream connectivity and flood conveyance. In response, the Great Lakes Fishery Commission (GLFC) continues to seek alternative methods of control. Great Lakes basin resource managers often request consideration of alternatives to both lampricide use and low-head barriers. Seasonal operation and alternative barrier designs (e.g. velocity barriers and electrical barriers) that incorporate additional features such as selective fish passage or flood conveyance are among the most commonly requested options. To date, alternative barrier technologies have been intermittently successful in the sea lamprey control program directed by the GLFC, yet continue to be proposed as alternatives to conventional low-head barriers. This document provides a comprehensive review on the current state of knowledge regarding the effectiveness of current and alternative barrier technologies and their historical use in the sea lamprey control program. This synthesis provides resource managers and sea lamprey control agents a reference and some tools to facilitate decision making around barriers that balance the critical need for invasive species control and fishery restoration.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/23308249.2019.1625300","usgsCitation":"Zielinski, D., McLaughlin, R.L., Castro-Santos, T.R., Paudel, B., Hrodey, P., and Muir, A.M., 2019, Alternative sea lamprey barrier technologies: History as a control tool: Reviews in Fisheries Science and Aquaculture, v. 27, no. 4, p. 438-457, https://doi.org/10.1080/23308249.2019.1625300.","productDescription":"20 p.","startPage":"438","endPage":"457","ipdsId":"IP-101093","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23308249.2019.1625300","text":"Publisher Index Page"},{"id":418393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.15254454058753,\n              49.79107196166723\n            ],\n            [\n              -93.15254454058753,\n              40.96227137700049\n            ],\n            [\n              -75.66981118123834,\n              40.96227137700049\n            ],\n            [\n              -75.66981118123834,\n              49.79107196166723\n            ],\n            [\n              -93.15254454058753,\n              49.79107196166723\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zielinski, D.P.","contributorId":311223,"corporation":false,"usgs":false,"family":"Zielinski","given":"D.P.","email":"","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":876082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, R. L.","contributorId":75736,"corporation":false,"usgs":false,"family":"McLaughlin","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":876083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":876084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paudel, B.","contributorId":311225,"corporation":false,"usgs":false,"family":"Paudel","given":"B.","email":"","affiliations":[{"id":13015,"text":"Department of Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":876085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hrodey, Pete J.","contributorId":190436,"corporation":false,"usgs":false,"family":"Hrodey","given":"Pete J.","affiliations":[],"preferred":false,"id":876131,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muir, A. M.","contributorId":248615,"corporation":false,"usgs":false,"family":"Muir","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":876086,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226679,"text":"70226679 - 2019 - Distribution of contaminants in the environment and wildlife habitat use: A case study with lead and waterfowl on the Upper Texas Coast","interactions":[],"lastModifiedDate":"2021-12-03T12:59:16.19523","indexId":"70226679","displayToPublicDate":"2019-07-19T06:51:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of contaminants in the environment and wildlife habitat use: A case study with lead and waterfowl on the Upper Texas Coast","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The magnitude and distribution of lead contamination remain unknown in wetland systems. Anthropogenic deposition of lead may be contributing to negative population-level effects in waterfowl and other organisms that depend on dynamic wetland habitats, particularly if they are unable to detect and differentiate levels of environmental contamination by lead. Detection of lead and behavioral response to elevated lead levels by waterfowl is poorly understood, but necessary to characterize the risk of lead-contaminated habitats. We measured the relationship between lead contamination of wetland soils and habitat use by mottled ducks (<i>Anas fulvigula</i>) on the Upper Texas Coast, USA. Mottled ducks have historically experienced disproportionate negative effects from lead exposure, and exhibit a unique nonmigratory life history that increases risk of exposure when inhabiting contaminated areas. We used spatial interpolation to estimate lead in wetland soils of the Texas Chenier Plain National Wildlife Refuge Complex. Soil lead levels varied across the refuge complex (0.01–1085.51 ppm), but greater lead concentrations frequently corresponded to areas with high densities of transmittered mottled ducks. We used soil lead concentration data and MaxENT species distribution models to quantify relationships among various habitat factors and locations of mottled ducks. Use of habitats with greater lead concentration increased during years of a major disturbance. Because mottled ducks use habitats with high concentrations of lead during periods of stress, have greater risk of exposure following major disturbance to the coastal marsh system, and no innate mechanism for avoiding the threat of lead exposure, we suggest the potential presence of an ecological trap of quality habitat that warrants further quantification at a population scale for mottled ducks.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10646-019-02079-1","usgsCitation":"Kearns, B., McDowell, S.K., Moon, J.A., Rigby, E.A., Conway, W.C., and Haukos, D.A., 2019, Distribution of contaminants in the environment and wildlife habitat use: A case study with lead and waterfowl on the Upper Texas Coast: Ecotoxicology, v. 28, p. 809-824, https://doi.org/10.1007/s10646-019-02079-1.","productDescription":"16 p.","startPage":"809","endPage":"824","ipdsId":"IP-106225","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":392430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Unied States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.536865234375,\n              28.536274512989916\n            ],\n            [\n              -96.0260009765625,\n              28.507315578441784\n            ],\n            [\n              -95.284423828125,\n              28.62310355452992\n            ],\n            [\n              -94.207763671875,\n              29.52567042617583\n            ],\n            [\n              -94.317626953125,\n              30.90222470517144\n            ],\n            [\n              -96.536865234375,\n              30.90222470517144\n            ],\n            [\n              -96.536865234375,\n              28.536274512989916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2019-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kearns, Brian","contributorId":198470,"corporation":false,"usgs":false,"family":"Kearns","given":"Brian","email":"","affiliations":[],"preferred":false,"id":827633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, Stephen K.","contributorId":171603,"corporation":false,"usgs":false,"family":"McDowell","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":827634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moon, Jena A.","contributorId":171483,"corporation":false,"usgs":false,"family":"Moon","given":"Jena","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":827635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigby, Elizabeth A.","contributorId":171479,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":827636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":827637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":827638,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70218704,"text":"70218704 - 2019 - Potential for increased hydrothermal arsenic flux during volcanic unrest: Implications for California water supply","interactions":[],"lastModifiedDate":"2021-03-05T23:21:32.156913","indexId":"70218704","displayToPublicDate":"2019-07-18T17:17:26","publicationYear":"2019","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":"Potential for increased hydrothermal arsenic flux during volcanic unrest: Implications for California water supply","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">The hydrothermal systems associated with the restless high-threat volcanoes at Lassen and Long Valley, California, each release large amounts of arsenic (As) to surface waters – ~6 and ~8 metric tons/yr, respectively. The hydrothermal As output can increase during volcanic unrest, as illustrated by a two-fold increase during unrest at Lassen in 2014–15. During that period of unrest, increased As concentrations and fluxes were measured up to 75 km downstream from the Lassen source, in Mill Creek near the confluence with the Sacramento River. In eastern California, the Long Valley hydrothermal system feeds into the Los Angeles Aqueduct (LAA), and the Los Angeles Department of Water and Power (LADWP) actively manages the LAA system to remove hydrothermal As. In 1980, during a series of ~<strong>M</strong><sub>w</sub>6 earthquakes, the discharge of a particular group of hydrothermal vents in Long Valley increased approximately 7-fold, though the total increase in As flux to the LAA system at that time is unknown. The likely mechanism for increased hydrothermal discharge in each case is permeability enhancement due to strong ground motion. A review of the global literature on earthquake hydrology suggests a worst-case scenario of a roughly 10-fold increase in permeability, with commensurate increase in the hydrothermal As flux persisting for days to months. Here we evaluate the potential impact of such increases in hydrothermal As flux on the California water-supply system.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2019.104384","usgsCitation":"Ingebritsen, S.E., and Evans, W.C., 2019, Potential for increased hydrothermal arsenic flux during volcanic unrest: Implications for California water supply: Applied Geochemistry, v. 108, 104384, 9 p., https://doi.org/10.1016/j.apgeochem.2019.104384.","productDescription":"104384, 9 p.","ipdsId":"IP-107345","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"108","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":811436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":811437,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204443,"text":"70204443 - 2019 - A 3-year in-situ measurement of CO2 efflux in coastal wetlands: Understanding carbon loss through ecosystem respiration and its partitioning","interactions":[],"lastModifiedDate":"2019-10-14T06:26:49","indexId":"70204443","displayToPublicDate":"2019-07-18T15:21:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"A 3-year in-situ measurement of CO2 efflux in coastal wetlands: Understanding carbon loss through ecosystem respiration and its partitioning","docAbstract":"Understanding the link between ecosystem respiration (Reco) and its influential factors is necessary to evaluate the sources of gaseous carbon loss in coastal wetlands. Seablite (Suaeda salsa Pall.) is the main vegetation type pioneering temperate coastal wetlands in northeast China, and is generally an understudied wetland type. To evaluate the influence of environmental factors on Reco, a multi-year in-situ experiment was carried out during the growing seasons of 2012 to 2014. Total CO2 efflux was measured and separated further into soil microbial and belowground root respiration (Rs + r) and plant respiration (Rplant). Reco displayed strong seasonal variation, with effluxes as high as 845 to 1150 mg CO2 m−2 h−1 during summer months and as low as 32 to 111 mg CO2 m−2 h−1 during spring (when new shoots are sprouting) and fall (when plants are senescing) months. Aboveground plant structures contributed on average 79% to total plant biomass, and accounted for most of the Reco measured; i.e., 62–96% was associated as Rplant. Plant activity was strongly seasonal, accordingly driving Reco, with 1 g of soil-emergent S. salsa biomass (dry weight) producing approximately 1.58 mg CO2 per hour toward Reco during mid-summer. When water level was below the soil surface, Rs + r was exponentially correlated to air temperature. Because Reco for S. salsa marsh in the Liaohe Delta is controlled by plant growth cycles, inundation regime, and air temperature, this finding may be applied for national carbon budget estimation purposes from S. salsa wetlands throughout Northeast China and potentially close a key gap in understanding the role of this large wetland area in contributing to respiratory CO2 emissions globally.","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01197-0","usgsCitation":"Yu, X., Ye, S., Olsson, L., Wei, M., Krauss, K., and Brix, H., 2019, A 3-year in-situ measurement of CO2 efflux in coastal wetlands: Understanding carbon loss through ecosystem respiration and its partitioning: Wetlands, p. 1-12, https://doi.org/10.1007/s13157-019-01197-0.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-097624","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":365887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365880,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1007/s13157-019-01197-0"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Yu, Xueyang","contributorId":146733,"corporation":false,"usgs":false,"family":"Yu","given":"Xueyang","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":766928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ye, Siyuan","contributorId":146732,"corporation":false,"usgs":false,"family":"Ye","given":"Siyuan","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":766929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsson, Linda","contributorId":146731,"corporation":false,"usgs":false,"family":"Olsson","given":"Linda","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":766930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Mengjie","contributorId":146734,"corporation":false,"usgs":false,"family":"Wei","given":"Mengjie","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":766931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":217510,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":766927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brix, Hans","contributorId":146735,"corporation":false,"usgs":false,"family":"Brix","given":"Hans","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":766932,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203615,"text":"ofr20191057 - 2019 - Benthic community dynamics in Coyote Creek and Artesian Slough, southern San Francisco Bay, California, May 2016 to March 2018","interactions":[],"lastModifiedDate":"2019-07-19T06:43:00","indexId":"ofr20191057","displayToPublicDate":"2019-07-18T14:35:49","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1057","displayTitle":"Benthic Community Dynamics in Coyote Creek and Artesian Slough, Southern San Francisco Bay, California, May 2016 to March 2018","title":"Benthic community dynamics in Coyote Creek and Artesian Slough, southern San Francisco Bay, California, May 2016 to March 2018","docAbstract":"<div>The primary objective of this study is to quantify current (2016–18) benthic-community structure and function in the southern San Francisco Bay, and to compare those communities to the communities in the neighboring sloughs. The study area is inclusive of the area south of the Dumbarton Bridge including Coyote Creek and Artesian Slough.</div><div>&nbsp; &nbsp;</div><div>The southern San Francisco Bay is a system dependent on phytoplankton as the base to the food web. Despite abundant nutrients, southern San Francisco Bay has had limited phytoplankton production in the last several decades owing to poor light conditions caused by high turbidities, and high grazing losses from the water column by benthic invertebrates and zooplankton. However, the balance of biogeochemical conditions during spring of most years accommodates a short phytoplankton bloom in the southern San Francisco Bay. This balance between available light, nutrients, and grazing has maintained the phytoplankton biomass in the southern San Francisco Bay at low levels relative to other high-nutrient urban estuaries. The role of benthic invertebrates during episodic spring events, as well as in other seasons, remains of great interest to water-quality and biological resource managers.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191057","usgsCitation":"Shrader, K.H., Pearson, S.A., Parchaso, F., and Thompson, J.K., 2019, Benthic community dynamics in Coyote Creek and Artesian Slough, southern San Francisco Bay, California, May 2016 to March 2018: U.S. Geological Survey Open-File Report 2019–1057, 93 p., https://doi.org/10.3133/ofr20191057.","productDescription":"v, 96 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-099797","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":365718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1057/ofr20191057.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1057"},{"id":365717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1057/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.13751220703125,\n              37.020098201368114\n            ],\n            [\n              -121.55548095703125,\n              37.020098201368114\n            ],\n            [\n              -121.55548095703125,\n              38.30071455572194\n            ],\n            [\n              -123.13751220703125,\n              38.30071455572194\n            ],\n            [\n              -123.13751220703125,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://water.usgs.gov\">Hydro-Eco Interactions Branch</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Conclusions</li><li>References Cited</li><li>Figures</li><li>Tables</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-07-18","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrader, Kelly H. 0000-0001-6550-7425","orcid":"https://orcid.org/0000-0001-6550-7425","contributorId":215872,"corporation":false,"usgs":true,"family":"Shrader","given":"Kelly H.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":763294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Sarah A. spearson@usgs.gov","contributorId":152203,"corporation":false,"usgs":true,"family":"Pearson","given":"Sarah","email":"spearson@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204092,"text":"sir20195065 - 2019 - Assessment of polycyclic aromatic hydrocarbon concentrations in southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17","interactions":[],"lastModifiedDate":"2019-07-26T12:33:09","indexId":"sir20195065","displayToPublicDate":"2019-07-18T14:25:35","publicationYear":"2019","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":"2019-5065","displayTitle":"Assessment of Polycyclic Aromatic Hydrocarbon Concentrations in Southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17","title":"Assessment of polycyclic aromatic hydrocarbon concentrations in southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17","docAbstract":"<p>Polycyclic aromatic hydrocarbon contamination related to boat use is one of the most important water-quality issues affecting Lake Powell. High concentrations of polycyclic aromatic hydrocarbons in water are common around marinas and other areas with extensive motorboat activity because of releases of uncombusted or partially combusted oil and gasoline from boat engines. The fate of these compounds in Lake Powell is of serious environmental concern because of their toxicity and carcinogenicity and their moderate persistence once they enter the aquatic ecosystem. In 2016–17, the U.S. Geological Survey (USGS) assessed the presence and concentrations of polycyclic aromatic hydrocarbons in Lake Powell at seven sites where concentrations have historically been elevated and one site where concentrations have historically been relatively low. Semipermeable membrane devices were used to collect samples that represent time-weighted averages of polycyclic aromatic hydrocarbon concentrations in water over one-month deployment periods. Samples were collected from the epilimnion of the lake at each of the eight sampling sites during two periods of relatively high boat use (summer), and one period of relatively low boat use (spring). Twenty-eight out of 33 polycyclic aromatic hydrocarbons analyzed were detected in Lake Powell during the three sampling events. During the two summer sampling events, concentrations were generally higher, and more compounds were detected, than during the spring sampling event. Twenty-two of the polycyclic aromatic hydrocarbons analyzed in 2016–17 had previously been analyzed by the USGS in the summer of 2010 at the same 8 sites using the same collection method. Eleven of 22 compounds were detected in the summer 2010, summer 2016, and summer 2017 sampling events, and 1 was detected in the summer 2010 and summer 2017 samplings, but not in the summer 2016 sampling event. During both the current and previous sampling events, concentrations were generally higher, and more compounds were detected, at the high-use marina sites located most downstream on the lake. The consistent presence of a wide range of polycyclic aromatic hydrocarbons in the water of Lake Powell indicates chronic and (or) recent anthropogenic sources of contamination. The results from this study will provide the National Park Service with information necessary to determine if the current regulations on emission standards for personal watercraft used on Lake Powell are effective in lowering polycyclic aromatic hydrocarbon concentrations in the lake.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195065","collaboration":"Prepared in cooperation with the National Park Service and the Bureau of Reclamation","usgsCitation":"Coes, A.L., Paretti, N.V., Alvarez, D.A., and Macy, J.P., 2019, Assessment of polycyclic aromatic hydrocarbon concentrations in southern Lake Powell, Glen Canyon National Recreation Area, Arizona and Utah, 2016–17: U.S. Geological Survey Scientific Investigations Report 2019–5065, 26 p., https://doi.org/10.3133/sir20195065.","productDescription":"v, 26 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-097642","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":365700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5065/coverthb.jpg"},{"id":365701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5065/sir20195065.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5065"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Glen Canyon National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.1044921875,\n              36.54494944148322\n            ],\n            [\n              -110.3466796875,\n              36.54494944148322\n            ],\n            [\n              -110.3466796875,\n              37.579412513438385\n            ],\n            [\n              -112.1044921875,\n              37.579412513438385\n            ],\n            [\n              -112.1044921875,\n              36.54494944148322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:leenhout@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:leenhout@usgs.gov\">Director</a>,<br><a href=\"https://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Sampling Conditions</li><li>Data Quality Assessment</li><li>Polycyclic Aromatic Hydrocarbon Concentrations</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-07-18","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 nparetti@usgs.gov","orcid":"https://orcid.org/0000-0003-2178-4820","contributorId":173412,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas","email":"nparetti@usgs.gov","middleInitial":"V.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":765446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765444,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215262,"text":"70215262 - 2019 - Widespread diminishing anthropogenic effects on calcium in freshwaters","interactions":[],"lastModifiedDate":"2020-10-15T14:12:58.47882","indexId":"70215262","displayToPublicDate":"2019-07-18T11:30:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Widespread diminishing anthropogenic effects on calcium in freshwaters","docAbstract":"<p><span>Calcium (Ca) is an essential element for almost all living organisms. Here, we examined global variation and controls of freshwater Ca concentrations, using 440 599 water samples from 43 184 inland water sites in 57 countries. We found that the global median Ca concentration was 4.0 mg L</span><sup>−1</sup><span>&nbsp;with 20.7% of the water samples showing Ca concentrations ≤ 1.5 mg L</span><sup>−1</sup><span>, a threshold considered critical for the survival of many Ca-demanding organisms. Spatially, freshwater Ca concentrations were strongly and proportionally linked to carbonate alkalinity, with the highest Ca and carbonate alkalinity in waters with a pH around 8.0 and decreasing in concentrations towards lower pH. However, on a temporal scale, by analyzing decadal trends in &gt;200 water bodies since the 1980s, we observed a frequent decoupling between carbonate alkalinity and Ca concentrations, which we attributed mainly to the influence of anthropogenic acid deposition. As acid deposition has been ameliorated, in many freshwaters carbonate alkalinity concentrations have increased or remained constant, while Ca concentrations have rapidly declined towards or even below pre-industrial conditions as a consequence of recovery from anthropogenic acidification. Thus, a paradoxical outcome of the successful remediation of acid deposition is a globally widespread freshwater Ca concentration decline towards critically low levels for many aquatic organisms.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-019-46838-w","usgsCitation":"Weyhenmeyer, G.A., Hartmann, J., Hessen, D.O., Kopáček, J., Hejzlar, J., Jacquet, S., Hamilton, S.K., Verburg, P., Leach, T.H., Schmid, M., Flaim, G., Nõges, T., Nõges, P., Wentzky, V.C., Rogora, M., Rusak, J.A., Kosten, S., Paterson, A.M., Teubner, K., Higgins, S.N., Lawrence, G.B., Kangur, K., Kokorite, I., Cerasino, L., Funk, C., Harvey, R.G., Moatar, F., Wit, H.D., and Zechmeister, T., 2019, Widespread diminishing anthropogenic effects on calcium in freshwaters: Scientific Reports, v. 9, 10450, 10 p., https://doi.org/10.1038/s41598-019-46838-w.","productDescription":"10450, 10 p.","ipdsId":"IP-101396","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-46838-w","text":"Publisher Index Page"},{"id":379372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Weyhenmeyer, Gesa A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":801341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartmann, Jens","contributorId":191648,"corporation":false,"usgs":false,"family":"Hartmann","given":"Jens","email":"","affiliations":[],"preferred":false,"id":801342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hessen, Dag O.","contributorId":243011,"corporation":false,"usgs":false,"family":"Hessen","given":"Dag","email":"","middleInitial":"O.","affiliations":[{"id":48608,"text":"University of Oslo","active":true,"usgs":false}],"preferred":false,"id":801343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kopáček, Jiří","contributorId":243012,"corporation":false,"usgs":false,"family":"Kopáček","given":"Jiří","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":801344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hejzlar, Josef 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,{"id":70208461,"text":"70208461 - 2019 - Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes","interactions":[],"lastModifiedDate":"2020-02-11T07:58:54","indexId":"70208461","displayToPublicDate":"2019-07-18T07:56:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1434,"text":"Earthquake Engineering and Structural Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes","docAbstract":"Activities related to oil and gas production, especially deep disposal of wastewater, have led to sequences of induced earthquakes in the central U.S. This study aims to quantify damage to and seismic losses for light-frame wood buildings when subjected to sequences of induced, small to moderate magnitude, events. To conduct this investigation, one and two-story multifamily wood frame buildings are designed, and their seismic response dynamically simulated using three-dimensional (3D) nonlinear models, subjected to ground motion sequences recorded in induced events. Damage is quantified through seismic losses, which are estimated using the FEMA P-58 methodology. Results show that at levels of shaking experienced in recent earthquakes, minor damage, consisting of cracking of interior finishes and nonstructural damage to plumbing and HVAC systems is expected, which is consistent with observed damage in these events. The study also examines how expected losses and building fragility will accumulate and/or change over a sequence of earthquakes. Results indicate that damage quantified in terms of absorbed hysteretic energy tended to accumulate over the sequences; this damage corresponds to elongation or widening of cracks. However, fragility is not significantly altered by damage in a preceding event, meaning structures are not becoming more vulnerable due to existing damage. In addition, sequences of events do not change losses if the building is only repaired once at the end of the sequence, as the worsening of damage does not alter repair actions. If repairs are conducted after each event, though, total seismic losses can increase greatly from the sequence.","language":"English","publisher":"Wiley","doi":"10.1002/eqe.3189","usgsCitation":"Chase, R.E., Liel, A.B., Luco, N., and Baird, B.W., 2019, Seismic loss and damage in light-frame wood buildings from sequences of induced earthquakes: Earthquake Engineering and Structural Dynamics, v. 48, no. 12, p. 1365-1383, https://doi.org/10.1002/eqe.3189.","productDescription":"19 p.","startPage":"1365","endPage":"1383","ipdsId":"IP-107935","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma 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,{"id":70205950,"text":"70205950 - 2019 - Twenty-first century California, USA, wildfires: Fuel-dominated vs. wind-dominated fires","interactions":[],"lastModifiedDate":"2019-10-11T06:44:55","indexId":"70205950","displayToPublicDate":"2019-07-18T06:43:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Twenty-first century California, USA, wildfires: Fuel-dominated vs. wind-dominated fires","docAbstract":"Since the beginning of the twenty-first century California, USA, has experienced a substantial increase in the frequency of large wildfires, often with extreme impacts on people and property. Due to the size of the state, it is not surprising that the factors driving these changes differ across this region. Although there are always multiple factors driving wildfire behavior, we believe a helpful model for understanding fires in the state is to frame the discussion in terms of bottom-up vs. top-down controls on fire behavior; that is, fires that are clearly dominated by anomalously high fuel loads from those dominated by extreme wind events. Of course, this distinction is somewhat artificial in that all fires are controlled by multiple factors involving fuels, winds, and topography. However, we believe that fires clearly recognizable as fuel-dominated vs. wind-dominated provide interesting case studies of factors behind these two extremes. These two types of fires differ greatly in their (1) geographical distribution in the state, (2) past fire history, (3) prominent sources of ignition, (4) seasonal timing, (5) resources most at risk, and (6) requirement for different management responses.","language":"English","publisher":"Springer","doi":"10.1186/s42408-019-0041-0","usgsCitation":"Keeley, J., and Syphard, A.D., 2019, Twenty-first century California, USA, wildfires: Fuel-dominated vs. wind-dominated fires: Fire Ecology, v. 15, 24, 15 p., https://doi.org/10.1186/s42408-019-0041-0.","productDescription":"24, 15 p.","ipdsId":"IP-104751","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-019-0041-0","text":"Publisher Index 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,{"id":70204335,"text":"70204335 - 2019 - An introduction to the “Oceans and Society: Blue Planet” Initiative","interactions":[],"lastModifiedDate":"2019-10-28T09:58:53","indexId":"70204335","displayToPublicDate":"2019-07-17T14:47:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5621,"text":"Journal of Operational Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"An introduction to the “Oceans and Society: Blue Planet” Initiative","docAbstract":"We live on a blue planet, and Earth’s waters benefit many sectors of society. The future of our blue planet is increasingly reliant on the services delivered by marine, coastal and inland waters and on the advancement of effective, evidence-based decisions on sustainable development. “Oceans and Society: Blue Planet” (hereafter denoted as “GEO Blue Planet”) is an initiative of the Group on Earth Observations (GEO) that aims to ensure the sustained development and use of ocean and coastal observations for the benefit of society. GEO Blue Planet works to advance and exploit synergies among the many observational programmes devoted to ocean and coastal waters; to improve engagement with a variety of stakeholders for enhancing the timeliness, quality and range of information delivered; and to raise awareness of the societal benefits of ocean observations at the public and policy levels. This paper summarizes the role of GEO Blue Planet, current activities and considerations for future directions.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1755876X.2019.1634959","usgsCitation":"Smail, E.A., DiGiacomo, P., Seeave, S., Djavidnia, S., Celliers, L., Le Traon, P., Gault, J., Escobar-Briones, E., Plag, H., Pequignet, C., Bajona, L., Zhang, L., Pearlman, J., Steven, A., Hodge, J., Racault, F., Storlazzi, C.D., and Skirving, W., 2019, An introduction to the “Oceans and Society: Blue Planet” Initiative: Journal of Operational Oceanography, v. 12, no. suppl 2, p. s1-s11, https://doi.org/10.1080/1755876X.2019.1634959.","productDescription":"11 p.","startPage":"s1","endPage":"s11","ipdsId":"IP-100533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1755876x.2019.1634959","text":"Publisher Index Page"},{"id":365685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365677,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1080/1755876X.2019.1634959"}],"volume":"12","issue":"suppl 2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Smail, Emily A","contributorId":217219,"corporation":false,"usgs":false,"family":"Smail","given":"Emily","email":"","middleInitial":"A","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiGiacomo, Paul","contributorId":217220,"corporation":false,"usgs":false,"family":"DiGiacomo","given":"Paul","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeave, Sophie","contributorId":217221,"corporation":false,"usgs":false,"family":"Seeave","given":"Sophie","email":"","affiliations":[{"id":39572,"text":"POGO","active":true,"usgs":false}],"preferred":false,"id":766389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Djavidnia, Samy","contributorId":217222,"corporation":false,"usgs":false,"family":"Djavidnia","given":"Samy","email":"","affiliations":[{"id":39573,"text":"EMSA","active":true,"usgs":false}],"preferred":false,"id":766390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Celliers, Louis","contributorId":217223,"corporation":false,"usgs":false,"family":"Celliers","given":"Louis","email":"","affiliations":[{"id":39574,"text":"GERICS","active":true,"usgs":false}],"preferred":false,"id":766391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le Traon, Pierre-Yves","contributorId":213840,"corporation":false,"usgs":false,"family":"Le Traon","given":"Pierre-Yves","email":"","affiliations":[],"preferred":false,"id":766392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gault, Jeremy","contributorId":217224,"corporation":false,"usgs":false,"family":"Gault","given":"Jeremy","email":"","affiliations":[{"id":39575,"text":"MaREI Centre","active":true,"usgs":false}],"preferred":false,"id":766393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Escobar-Briones, Elva","contributorId":217225,"corporation":false,"usgs":false,"family":"Escobar-Briones","given":"Elva","email":"","affiliations":[{"id":39576,"text":"NAUM","active":true,"usgs":false}],"preferred":false,"id":766394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plag, Hans-Peter","contributorId":217226,"corporation":false,"usgs":false,"family":"Plag","given":"Hans-Peter","email":"","affiliations":[{"id":39577,"text":"ODU","active":true,"usgs":false}],"preferred":false,"id":766395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pequignet, Christine","contributorId":217227,"corporation":false,"usgs":false,"family":"Pequignet","given":"Christine","email":"","affiliations":[{"id":39578,"text":"Met Office","active":true,"usgs":false}],"preferred":false,"id":766396,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bajona, Lenore","contributorId":217228,"corporation":false,"usgs":false,"family":"Bajona","given":"Lenore","email":"","affiliations":[{"id":39579,"text":"Dalhouise University","active":true,"usgs":false}],"preferred":false,"id":766397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhang, Lin","contributorId":200219,"corporation":false,"usgs":false,"family":"Zhang","given":"Lin","email":"","affiliations":[],"preferred":false,"id":766398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pearlman, Jay","contributorId":214693,"corporation":false,"usgs":false,"family":"Pearlman","given":"Jay","email":"","affiliations":[{"id":39107,"text":"Four Bridges","active":true,"usgs":false}],"preferred":false,"id":766399,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steven, Andy","contributorId":217229,"corporation":false,"usgs":false,"family":"Steven","given":"Andy","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":766400,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hodge, Jon","contributorId":217230,"corporation":false,"usgs":false,"family":"Hodge","given":"Jon","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":766401,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Racault, Fanny-Mae","contributorId":217231,"corporation":false,"usgs":false,"family":"Racault","given":"Fanny-Mae","email":"","affiliations":[{"id":39580,"text":"Plymouth Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":766402,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766386,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Skirving, Willam","contributorId":217232,"corporation":false,"usgs":false,"family":"Skirving","given":"Willam","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766403,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70227969,"text":"70227969 - 2019 - Linking demographic and food-web models to understand management trade-offs","interactions":[],"lastModifiedDate":"2022-02-03T18:33:36.936323","indexId":"70227969","displayToPublicDate":"2019-07-17T12:25:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Linking demographic and food-web models to understand management trade-offs","docAbstract":"Alternatives in ecosystem-based management often differ with respect to trade-offs between ecosystem values. Ecosystem or food-web models and demographic models are typically employed to evaluate alternatives, but the approaches are rarely integrated to uncover conflicts between values. We applied multi-state models to a capture-recapture dataset on common guillemots Uria aalge breeding in the Baltic Sea to identify factors influencing survival. The estimated relationships were employed together with Ecopath-with-Ecosim food-web model simulations to project guillemot survival under six future scenarios incorporating climate change. The scenarios were based on management alternatives for eutrophication and cod fisheries, issues considered top priority for regional management, but without known direct effects on the guillemot population. Our demographic models identified prey quantity (abundance and biomass of sprat Sprattus sprattus) as the main factor influencing guillemot survival. Most scenarios resulted in projections of increased survival, in the near (2016-2040) and distant (2060-2085) future. However, in the scenario of reduced nutrient input and precautionary cod fishing, guillemot survival was projected to be lower in both future periods due to lower sprat stocks. Matrix population models suggested a substantial decline of the guillemot population in the near future, 24% per 10 years; and a smaller reduction, 1.1% per 10 years, in the distant future. To date, many stakeholders and Baltic Sea governments have supported reduced nutrient input and precautionary cod fishing and implementation is underway. Negative effects on non-focal-species have previously not been uncovered, but our results show that the scenario is likely to negatively impact the guillemot population. Linking model results allowed identifying trade-offs associated with management alternatives. This information is critical to thorough evaluation by decision-makers, but not easily obtained by food-web models or demographic models in isolation. Appropriate datasets are often available, making it feasible to apply a linked approach for better-informed decisions in ecosystem-based management.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5385","usgsCitation":"Kadin, M., Frederiksen, M., Niiranen, S., and Converse, S.J., 2019, Linking demographic and food-web models to understand management trade-offs: Ecology and Evolution, v. 9, no. 15, p. 8587-8600, https://doi.org/10.1002/ece3.5385.","productDescription":"14 p.","startPage":"8587","endPage":"8600","ipdsId":"IP-095999","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5385","text":"Publisher Index Page"},{"id":395382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Baltic Sea","volume":"9","issue":"15","noUsgsAuthors":false,"publicationDate":"2019-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kadin, Martina","contributorId":274509,"corporation":false,"usgs":false,"family":"Kadin","given":"Martina","email":"","affiliations":[],"preferred":false,"id":833082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frederiksen, Morten","contributorId":96404,"corporation":false,"usgs":true,"family":"Frederiksen","given":"Morten","affiliations":[],"preferred":false,"id":833083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niiranen, Susa","contributorId":274510,"corporation":false,"usgs":false,"family":"Niiranen","given":"Susa","email":"","affiliations":[],"preferred":false,"id":833084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215402,"text":"70215402 - 2019 - Developing and testing physically based triggering thresholds for runoff‐generated debris flows","interactions":[],"lastModifiedDate":"2020-10-18T15:11:44.549573","indexId":"70215402","displayToPublicDate":"2019-07-17T10:08:59","publicationYear":"2019","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":"Developing and testing physically based triggering thresholds for runoff‐generated debris flows","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Runoff in steep channels is capable of transitioning into debris flows with hazardous implications for downstream communities and infrastructure, particularly in alpine landscapes with minimal vegetation and areas recently disturbed by wildfire. Here, we derive thresholds for the initiation of runoff‐generated debris flows based on critical values of dimensionless discharge and Shields stress. These thresholds are derived by using a numerical model to estimate the hydrodynamic conditions coinciding with the timing of debris flow activity in a recently burned basin. A benefit of hydrodynamic thresholds is that they can be used to assess debris flow likelihood based on measurable hydrologic and geomorphic parameters and therefore provide more universal criteria for quantifying the runoff‐to‐debris flow transition in landscape evolution studies and hazard assessments. We then demonstrate how hydrodynamic thresholds can be used to estimate rainfall intensity‐duration thresholds for runoff‐generated debris flows without the need for historic debris flow observations.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083623","usgsCitation":"Tang, H., McGuire, L.A., Rengers, F.K., Kean, J.W., Staley, D.M., and Smith, J.B., 2019, Developing and testing physically based triggering thresholds for runoff‐generated debris flows: Geophysical Research Letters, v. 46, no. 15, p. 8830-8839, https://doi.org/10.1029/2019GL083623.","productDescription":"10 p.","startPage":"8830","endPage":"8839","ipdsId":"IP-109482","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467446,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083623","text":"Publisher Index Page"},{"id":437384,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F3YTBP","text":"USGS data release","linkHelpText":"Post-wildfire debris-flow monitoring data, Las Lomas, 2016 Fish Fire, Los Angeles County, California, November 2016 to February 2017"},{"id":379501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Gabriel Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.553466796875,\n              34.116352469972746\n            ],\n            [\n              -117.454833984375,\n              34.116352469972746\n            ],\n            [\n              -117.454833984375,\n              34.58347505599177\n            ],\n            [\n              -118.553466796875,\n              34.58347505599177\n            ],\n            [\n              -118.553466796875,\n              34.116352469972746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"15","noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tang, Hui","contributorId":215352,"corporation":false,"usgs":false,"family":"Tang","given":"Hui","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":802041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":802042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802046,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228057,"text":"70228057 - 2019 - Effect of male age structure on reproduction in white-tailed deer","interactions":[],"lastModifiedDate":"2022-02-03T15:39:39.993062","indexId":"70228057","displayToPublicDate":"2019-07-17T09:36:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of male age structure on reproduction in white-tailed deer","docAbstract":"<p><span>Selective harvest regimes that create female-biased sex ratios can potentially lead to delayed breeding, reduced breeding synchrony, reduced productivity, and a female-biased sex ratio of offspring. These resulting changes in breeding behavior and population dynamics have potential to adversely affect population growth. In 2002, Pennsylvania implemented harvest regulation changes that reduced deer density (increased harvest of antlerless deer) and increased the number and age of antlered deer (implemented antler point restriction regulations) that resulted in a less female-biased sex ratio. We monitored date of conception, productivity (embryos/female), and sex ratio of embryos during 1999–2006 to test if timing of breeding occurred earlier and with greater synchrony, if productivity of females increased, and if the sex ratio of offspring would shift towards more males. Deer density decreased 23% and the adult (≥1.5 yr old) sex ratio declined from 2.30 to 1.95 females/male. The ratio of ≥2.5-year-old to 1.5-year-old males shifted towards more older males (1:3.7 in 2002 to 1:1.59 in 2006) and the ≥2.5-year-old male population increased from 41,853 during 1999–2001 to 54,064 by 2006. We found no evidence of any change in the timing or variability of date of conception, productivity, or offspring sex ratio. We conclude that harvest regulation changes implemented in Pennsylvania, USA, were insufficient to affect timing of breeding or population dynamics and that efforts by managers to identify a desired sex ratio or manipulate sex ratios to achieve management goals on a statewide scale will be challenging.&nbsp;</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21712","usgsCitation":"Diefenbach, D.R., Alt, G., Wallingford, B.D., Rosenberry, C., and Long, E.S., 2019, Effect of male age structure on reproduction in white-tailed deer: Journal of Wildlife Management, v. 83, no. 6, p. 1368-1376, https://doi.org/10.1002/jwmg.21712.","productDescription":"9 p.","startPage":"1368","endPage":"1376","ipdsId":"IP-099971","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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D.","contributorId":272189,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":832979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":264500,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":832980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, Eric S.","contributorId":171652,"corporation":false,"usgs":false,"family":"Long","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832981,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205184,"text":"70205184 - 2019 - Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe","interactions":[],"lastModifiedDate":"2019-11-13T13:38:53","indexId":"70205184","displayToPublicDate":"2019-07-17T09:22:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe","docAbstract":"<p><span>In drylands, the coexistence of grasses and woody plants has been attributed to soil‐water resource partitioning. Soil texture and precipitation seasonality can influence the amount and distribution of water in the soil, and their interaction may play an important role in determining the relative importance of grasses and woody plants. We investigated the influence of this interaction on plant functional types across a broad range of precipitation regimes and soil textures in western North America by analyzing plant‐cover data collected at 2,084 plots that included the widespread shrub big sagebrush (</span><i>Artemisia tridentata</i><span>&nbsp;Nutt.). We characterized how the significance of the inverse‐texture effect varies across soil conditions by quantifying relationships between precipitation and foliar cover on finer‐ vs. coarser‐textured soils across a range of potential texture divisions represented by sand content. We found evidence of the inverse‐texture effect for every plant functional type (except for cheatgrass) that we examined with at least one component of precipitation (annual, warm, or cold season), and provide the first evidence for this effect in locations with cold‐season‐dominated precipitation regimes. The texture and precipitation combinations that exhibited the inverse‐texture effect varied with plant functional type, presumably because of effects of soil texture on water availability at different soil depths with season. Furthermore, we found an inverse‐texture effect that was remarkably similar for shrub cover with cold‐season precipitation and grass cover with warm‐season precipitation. These results provide new insight into how the inverse‐texture effect interacts with precipitation seasonality to influence plant functional type composition in drylands, and further suggest that quantifying the soil‐texture division at which the inverse‐texture effect is relevant under a given set of environmental conditions may provide support for the effect across dryland plant communities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2824","usgsCitation":"Renne, R.R., Bradford, J.B., Burke, I.C., and Lauenroth, W.K., 2019, Soil texture and precipitation seasonality influence plant community structure in North American temperate shrub steppe: Ecology, v. 100, no. 11, e02824, https://doi.org/10.1002/ecy.2824.","productDescription":"e02824","ipdsId":"IP-101448","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":367247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.1572265625,\n              48.80686346108517\n            ],\n            [\n              -122.51953124999999,\n              41.96765920367816\n            ],\n            [\n              -121.9482421875,\n              39.977120098439634\n            ],\n            [\n              -119.53125,\n              36.98500309285596\n            ],\n            [\n              -117.333984375,\n              36.24427318493909\n            ],\n            [\n              -105.9521484375,\n              35.85343961959182\n            ],\n            [\n              -104.6337890625,\n              39.842286020743394\n            ],\n            [\n              -103.6669921875,\n              46.40756396630067\n            ],\n            [\n              -104.23828125,\n              48.922499263758255\n            ],\n            [\n              -121.1572265625,\n              48.951366470947725\n            ],\n            [\n              -121.1572265625,\n              48.80686346108517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Renne, Rachel R.","contributorId":213935,"corporation":false,"usgs":false,"family":"Renne","given":"Rachel","email":"","middleInitial":"R.","affiliations":[{"id":38934,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA","active":true,"usgs":false}],"preferred":false,"id":770273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":770274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":770275,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204409,"text":"70204409 - 2019 - FLUXNET-CH4 synthesis activity: Objectives, observations, and future directions","interactions":[],"lastModifiedDate":"2020-04-06T20:55:10.925221","indexId":"70204409","displayToPublicDate":"2019-07-17T08:57:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"FLUXNET-CH4 synthesis activity: Objectives, observations, and future directions","docAbstract":"<p><span>This paper describes the formation of, and initial results for, a new FLUXNET coordination network for ecosystem-scale methane (CH</span><sub>4</sub><span>) measurements at 60 sites globally, organized by the Global Carbon Project in partnership with other initiatives and regional flux tower networks. The objectives of the effort are presented along with an overview of the coverage of eddy covariance (EC) CH</span><sub>4</sub><span>&nbsp;flux measurements globally, initial results comparing CH</span><sub>4</sub><span>&nbsp;fluxes across the sites, and future research directions and needs. Annual estimates of net CH</span><sub>4</sub><span>&nbsp;fluxes across sites ranged from −0.2 ± 0.02 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;for an upland forest site to 114.9 ± 13.4 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;for an estuarine freshwater marsh, with fluxes exceeding 40 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;at multiple sites. Average annual soil and air temperatures were found to be the strongest predictor of annual CH</span><sub>4</sub><span>&nbsp;flux across wetland sites globally. Water table position was positively correlated with annual CH</span><sub>4</sub><span>&nbsp;emissions, although only for wetland sites that were not consistently inundated throughout the year. The ratio of annual CH</span><sub>4</sub><span>&nbsp;fluxes to ecosystem respiration increased significantly with mean site temperature. Uncertainties in annual CH</span><sub>4</sub><span>&nbsp;estimates due to gap-filling and random errors were on average ±1.6 g C m</span><sup>–2</sup><span>&nbsp;yr</span><sup>–1</sup><span>&nbsp;at 95% confidence, with the relative error decreasing exponentially with increasing flux magnitude across sites. Through the analysis and synthesis of a growing EC CH</span><sub>4</sub><span>&nbsp;flux database, the controls on ecosystem CH</span><sub>4</sub><span>&nbsp;fluxes can be better understood, used to inform and validate Earth system models, and reconcile differences between land surface model- and atmospheric-based estimates of CH</span><sub>4</sub><span>&nbsp;emissions.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-18-0268.1","usgsCitation":"Knox, S.H., Jackson, R.B., Poulter, B., McNicol, G., Fluet-Chouinard, E., Zhang, Z., Hugelius, G., Bousquet, P., Canadell, J.G., Saunois, M., Papale, D., Chu, H., Keenan, T.F., Baldocchi, D., Torn, M.S., Mammarella, I., Trotta, C., Aurela, M., Bohrer, G., Campbell, D.I., Cescatti, A., Chamberlain, S.D., Chen, J., Chen, W., Dengel, S., Desai, A.R., Euskirchen, E.S., Friborg, T., Gasbarra, D., Goded, I., Goeckede, M., Heimann, M., Helbig, M., Hirano, T., Hollinger, D.Y., Iwata, H., Kang, M., Klatt, J., Krauss, K., Kutzbach, L., Lohila, A., Mitra, B., Morin, T., Nilsson, M.B., Niu, S., Noormets, A., Oechel, W.C., Peichl, M., Peltola, O., Reba, M.L., Richardson, A.D., Runkle, B.R., Ryu, Y., Sachs, T., Schafer, K.V., Schmid, H.P., Shurpali, N., Sonnentag, O., Tang, A., Ueyama, M., Vargas, R., Vesala, T., Ward, E., Windham-Myers, L., Wohlfahrt, G., and Zona, D., 2019, FLUXNET-CH4 synthesis activity: Objectives, observations, and future directions: Bulletin of the American Meteorological Society, v. 100, no. 12, p. 2607-2632, https://doi.org/10.1175/BAMS-D-18-0268.1.","productDescription":"26 p.","startPage":"2607","endPage":"2632","ipdsId":"IP-102319","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":467447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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