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We conducted triaxial friction tests at hydrothermal conditions (25°C–350°C) on gouges of peridotite and its principal mineral constituents olivine and orthopyroxene. Pore-fluid chemistry was varied by the use of peridotite, granite, or quartzite driving blocks (representing wall rock) housing the gouge layer. Samples sheared at slow rates initially strengthen to a peak value, and then weaken toward a residual strength. The transition is accompanied by a change from velocity-weakening to velocity-strengthening behavior marked by a series of small stress drops. The extent of weakening varies with the ultramafic mineralogy and with the chemical environment established by the driving block lithology. The strengths of olivine and olivine-rich peridotite gouges decrease substantially (to μ ∼ 0.25–0.30), and that of orthopyroxene to a lesser extent, at temperatures ≥200°C when sheared between crustal driving blocks. Less weakening is observed in the peridotite-block experiments; the minimum strength of the peridotite gouges (μ ∼ 0.5) occurs at 250°C, the temperature at which olivine hydration rates are near their maximum in ultramafic rocks. The strength reductions in all experiments are attributed to solution-transfer (pressure solution) processes that come to predominate over cataclastic mechanisms during shear. The lower pH of fluids in contact with silica-saturated crustal rocks enhances the weakening of olivine-rich gouges. In these short-duration experiments, secondary phyllosilicate mineral growth was of a limited extent and varied with gouge and wall-rock mineralogy and with temperature. Over geologic time spans, however, the alteration assemblages will assume an increasingly important role in fault-zone behavior.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC010005","usgsCitation":"Moore, D.E., and Lockner, D., 2021, Weakening of peridotite sheared at hydrothermal conditions: Geochemistry, Geophysics, Geosystems, v. 12, no. 11, e2021GC010005, 19 p., https://doi.org/10.1029/2021GC010005.","productDescription":"e2021GC010005, 19 p.","ipdsId":"IP-128286","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488258,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc010005","text":"Publisher Index Page"},{"id":436163,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JVQA95","text":"USGS data release","linkHelpText":"Data for "Weakening of Peridotite Sheared at Hydrothermal Conditions""},{"id":391202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":826078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":257574,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":826079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70224983,"text":"fs20213004 - 2021 - A 40-year story of river sediment at Mount St. Helens","interactions":[],"lastModifiedDate":"2021-10-14T11:41:35.110065","indexId":"fs20213004","displayToPublicDate":"2021-10-13T14:58:02","publicationYear":"2021","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":"2021-3004","displayTitle":"A 40-Year Story of River Sediment at Mount St. Helens","title":"A 40-year story of river sediment at Mount St. Helens","docAbstract":"

The 1980 eruption of Mount St. Helens in Washington State unleashed one of the largest debris avalanches (landslide) in recorded history. The debris avalanche deposited 3.3 billion cubic yards of material into the upper North Fork Toutle River watershed and obstructed the Columbia River shipping channel downstream. From the eruption on May 18, 1980, to September 30, 2018, the Toutle River transported a total of about 405 million tons of sediment into the lower Cowlitz River—enough to bury downtown Portland, Oregon, to a depth of 300 feet. Excluding the massive sediment load from the eruption itself, from October 1, 1980, to September 30, 2018, the Toutle River transported more than 248 million tons of sediment, or an average of 6.5 million tons per year.

Increased flood risk to downstream communities is managed by a sediment retention structure, grade building structures, berms, levees, and dredging. Near-real-time monitoring of streamflow and sediment yield is important for effective management of these dynamic mitigation efforts. Since the sediment retention structure began trapping sediment in November 1987, the Toutle River has transported on average 2.8 million tons of sediment per year into the lower Cowlitz River. This is still 10 times greater than pre-eruption levels, with higher sediment transport potentially approaching 50 to 100 times greater during storms. Despite the eruption lasting only a few hours, the socioeconomic effects and mitigation measures for the region continue into the 21st century.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213004","usgsCitation":"Uhrich, M.A., Spicer, K.R., Mosbrucker, A.R., Saunders, D.R., and Christianson, T.S., 2021, A 40-year story of river sediment at Mount St. Helens: U.S. Geological Survey Fact Sheet 2021–3004, 6 p., https://doi.org/10.3133/fs20213004.","productDescription":"Report: 6 p.; Additional Resources","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-114867","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":390437,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3004/covrthb.jpg"},{"id":390438,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3004/fs20213004.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":390439,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3004/fs20213004_resources.pdf","text":"Additional resources","size":"300 KB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3876953125,\n 46.132266708957125\n ],\n [\n -121.87957763671876,\n 46.132266708957125\n ],\n [\n -121.87957763671876,\n 46.36588370484979\n ],\n [\n -122.3876953125,\n 46.36588370484979\n ],\n [\n -122.3876953125,\n 46.132266708957125\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Volcano Science Center
Cascades Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court
Vancouver, WA, 98683

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-10-13","noUsgsAuthors":false,"publicationDate":"2021-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Uhrich, Mark A. 0000-0002-5202-8086 mauhrich@usgs.gov","orcid":"https://orcid.org/0000-0002-5202-8086","contributorId":1149,"corporation":false,"usgs":true,"family":"Uhrich","given":"Mark","email":"mauhrich@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":825054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":825055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":825056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, Dennis R. 0000-0001-9663-0485 saunders@usgs.gov","orcid":"https://orcid.org/0000-0001-9663-0485","contributorId":146282,"corporation":false,"usgs":true,"family":"Saunders","given":"Dennis","email":"saunders@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":825057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christianson, Tami S. 0000-0002-6873-9229 tchristianson@usgs.gov","orcid":"https://orcid.org/0000-0002-6873-9229","contributorId":5986,"corporation":false,"usgs":true,"family":"Christianson","given":"Tami","email":"tchristianson@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":825058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228845,"text":"70228845 - 2021 - Comparison of flea sampling methods and Yersinia pestis detection on prairie dog colonies","interactions":[],"lastModifiedDate":"2022-02-23T16:47:26.018136","indexId":"70228845","displayToPublicDate":"2021-10-13T10:44:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of flea sampling methods and Yersinia pestis detection on prairie dog colonies","title":"Comparison of flea sampling methods and Yersinia pestis detection on prairie dog colonies","docAbstract":"

Scientists collect fleas (Siphonaptera) to survey for Yersinia pestis, the bacterial agent of plague. When studying fleas parasitizing prairie dogs (Cynomys spp.), two primary methods are used: (1) combing fleas from live-trapped prairie dogs and (2) swabbing fleas from burrows with cloth swabs attached to metal cables. Ideally, burrow swabbing, the cheaper and easier method, would explain flea burdens on prairie dogs and provide reliable information on plague prevalence. In a linear regression analysis of data from 1-month intervals (June–August 2010–2011) on 13 colonies of black-tailed prairie dogs (Cynomys ludovicianus, BTPDs) in New Mexico, flea abundance on swabs explained 0–26% of variation in BTPD flea burdens. In an analysis of data (May–August 2016) from six colonies of BTPDs in Montana, flea abundance on swabs explained 2% of variation in BTPD flea burdens. In an analysis of data from a short-term interval (July 23–27, 2019) on four colonies of BTPDs in Montana, flea abundance on swabs explained 0.1% of variation in BTPD flea burdens. In an analysis of data from 1-week intervals (August–October 2000) on four colonies of white-tailed prairie dogs (Cynomys leucurus, WTPD) in Utah, swabbing data explained 0.1% of variation in WTPD flea burdens. Pools of fleas from two WTPD colonies were tested for Y. pestis by mouse inoculation and isolation; 65% from WTPDs tested positive, whereas 4% from burrows tested positive. Data herein also show that results from burrow swabbing can misrepresent flea species composition and phenology on prairie dogs. Burrow swabbing is useful for some purposes, but limitations should be acknowledged, and accumulated data should be interpreted with caution.

","language":"English","publisher":"Mary Ann Liebert Inc.","doi":"10.1089/vbz.2021.0025","usgsCitation":"Eads, D.A., Matchett, M.R., Poje, J., and Biggins, D.E., 2021, Comparison of flea sampling methods and Yersinia pestis detection on prairie dog colonies: Vector-Borne and Zoonotic Diseases, v. 21, no. 10, p. 753-761, https://doi.org/10.1089/vbz.2021.0025.","productDescription":"9 p.","startPage":"753","endPage":"761","ipdsId":"IP-125380","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436164,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AFVPEJ","text":"USGS data release","linkHelpText":"Mean flea counts from prairie dogs and their burrows in Utah (2000), New Mexico (2010-2012), and Montana (2016, 2019)"},{"id":396357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, New Mexico, 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Madison","active":true,"usgs":false}],"preferred":false,"id":835690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835691,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225705,"text":"70225705 - 2021 - Contribution of deep-sourced carbon from hydrocarbon seeps to sedimentary organic carbon: Evidence from radiocarbon and stable isotope geochemistry","interactions":[],"lastModifiedDate":"2021-11-04T13:17:43.899219","indexId":"70225705","displayToPublicDate":"2021-10-13T08:10:42","publicationYear":"2021","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":"Contribution of deep-sourced carbon from hydrocarbon seeps to sedimentary organic carbon: Evidence from radiocarbon and stable isotope geochemistry","docAbstract":"

Sulfate-driven anaerobic oxidation of methane (AOM) limits the release of methane from marine sediments and promotes the formation of carbonates close to the seafloor in seepage areas along continental margins. It has been established that hydrocarbon seeps are a source of methane, dissolved inorganic carbon, and dissolved organic carbon to marine environments. However, questions remain about the contribution of deep-sourced carbon from hydrocarbon seeps to the sedimentary organic carbon pool. In this study, we analyzed carbon quantity, radiocarbon content (as percent modern carbon, pMC), stable carbon isotopic compositions (as δ13C) of organic matter enclosed within seep carbonates from the Gulf of Mexico and the South China Sea to assess if sediment organic matter may be used as a proxy for methane seepage intensity. The δ13C values of organic matter (δ13Corg) exhibited a large range from −81.4‰ to −23.9‰. Radiocarbon contents of the carbonate-bound organic matter in seep carbonates ranged from 6% to 28% pMC, suggesting organic matter of the carbonates is a mixture of marine particulate organic matter (δ13C = −22‰ VPDB and 90% modern carbon) and biomass resulting from methane oxidation (assumed to have 0% modern carbon). Assuming constant productivity in the marine photic zone, it is proposed that seepage intensity and duration are the most important factors controlling the contribution of methane-derived carbon to the sedimentary column. This study reinforces the potential for using δ13C values of organic carbon to discern methane-rich environments in ancient sedimentary environments where authigenic carbonate is not present and to constrain the record of AOM through Earth history.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2021.120572","usgsCitation":"Feng, D., Pohlman, J., Peckmann, J., Sun, Y., Hu, Y., Roberts, H., and Chen, D., 2021, Contribution of deep-sourced carbon from hydrocarbon seeps to sedimentary organic carbon: Evidence from radiocarbon and stable isotope geochemistry: Chemical Geology, v. 585, 120572, 8 p., https://doi.org/10.1016/j.chemgeo.2021.120572.","productDescription":"120572, 8 p.","ipdsId":"IP-128798","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":450464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2021.120572","text":"Publisher Index Page"},{"id":391379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"585","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feng, Dong","contributorId":268310,"corporation":false,"usgs":false,"family":"Feng","given":"Dong","email":"","affiliations":[],"preferred":false,"id":826345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":826346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peckmann, Jorn","contributorId":268294,"corporation":false,"usgs":false,"family":"Peckmann","given":"Jorn","email":"","affiliations":[{"id":55613,"text":"Institute for Geology, Center for Earth System Research and Sustainability, Universität Hamburg, 20146 Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":826347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Yuedong","contributorId":268295,"corporation":false,"usgs":false,"family":"Sun","given":"Yuedong","email":"","affiliations":[{"id":55616,"text":"Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China","active":true,"usgs":false}],"preferred":false,"id":826348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Yu","contributorId":268311,"corporation":false,"usgs":false,"family":"Hu","given":"Yu","email":"","affiliations":[],"preferred":false,"id":826349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Harry","contributorId":268296,"corporation":false,"usgs":false,"family":"Roberts","given":"Harry","affiliations":[{"id":55617,"text":"Coastal Studies Institute, College of the Coastal and Environment, Louisiana State University, Baton Rouge, LA, 70803, USA","active":true,"usgs":false}],"preferred":false,"id":826350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Duofu","contributorId":268297,"corporation":false,"usgs":false,"family":"Chen","given":"Duofu","email":"","affiliations":[{"id":55618,"text":"Shanghai Engineering Research Center of Hadal Science and Technology, College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China","active":true,"usgs":false}],"preferred":false,"id":826351,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226457,"text":"70226457 - 2021 - Reproductive plasticity as an advantage of snakes during island invasion","interactions":[],"lastModifiedDate":"2021-12-10T17:45:46.11573","indexId":"70226457","displayToPublicDate":"2021-10-13T06:51:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive plasticity as an advantage of snakes during island invasion","docAbstract":"

Most invasive species are not studied during their initial colonization of ecosystems to which they were recently introduced. Rather, research is typically performed after invasive species are well established and causing harm to the native biodiversity. Thus, novel adaptations of invasive species during their initial invasions are rarely identified. The California kingsnake (Lampropeltis californiae) is an invasive species in the Canary Islands that originated via escape or release from captive populations. Previous studies have demonstrated several morphological differences between the native California population and the invasive populations on Gran Canaria Island, particularly in regard to color pattern and body mass. In this study, we assessed the reproductive condition of 1,538 museum specimens of L. californiae from the native range, and 668 from Gran Canaria. Our results show that 57.1% of female L. californiae from Gran Canaria were gravid versus 13.4% of those from California. Moreover, average follicle size and clutch size were both greater in the invasive range (20.3 and 65%). In addition, there was a marked phenological shift in the invasive populations, among which follicles appeared 60 days sooner than in the native range. These differences can possibly be attributed to a larger body mass in the invasive populations, a lack of interspecific competition, origination from the pet trade, increased selection for large clutch sizes, and/or increased climate suitability in the invaded habitats. Overall, these reproductive and phenological attributes appear to constitute advantages for L. californiae during the invasion of this newly encountered ecosystem. The phenomenon of reproductive plasticity might generally be advantageous for rapid irruption of snakes on islands.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.554","usgsCitation":"Fisher, S., Fisher, R.N., Alcaraz, S.E., Gallo-Barneto, R., Patino-Martinez, C., Lopez- Jurado, L.F., Cabrera-Pérez, M., and Grismer, J.L., 2021, Reproductive plasticity as an advantage of snakes during island invasion: Conservation Science and Practice, v. 3, no. 12, e554, 11 p., https://doi.org/10.1111/csp2.554.","productDescription":"e554, 11 p.","ipdsId":"IP-133060","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.554","text":"Publisher Index Page"},{"id":391856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, S R","contributorId":269359,"corporation":false,"usgs":false,"family":"Fisher","given":"S R","affiliations":[{"id":52102,"text":"La Sierra University, Riverside, CA","active":true,"usgs":false}],"preferred":false,"id":826961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alcaraz, S E","contributorId":269360,"corporation":false,"usgs":false,"family":"Alcaraz","given":"S","email":"","middleInitial":"E","affiliations":[{"id":55942,"text":"USGS WERC volunteer","active":true,"usgs":false}],"preferred":false,"id":826963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallo-Barneto, R","contributorId":269361,"corporation":false,"usgs":false,"family":"Gallo-Barneto","given":"R","affiliations":[{"id":55943,"text":"Área de Medio Ambiente, Gestión y Planeamiento Territorial y Ambiental (GesPlan S. A.), C/Francisco Gourie, 107-30, 35002 Las Palmas, Spain","active":true,"usgs":false}],"preferred":false,"id":826964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino-Martinez, C","contributorId":269362,"corporation":false,"usgs":false,"family":"Patino-Martinez","given":"C","email":"","affiliations":[{"id":55944,"text":"Asociación para el Desarrollo Sostenible y Conservación de la Biodiversidad (ADS), C/Blas de Lezo 55, 10 G, Aguimes, 35118 Las Palmas, Spain","active":true,"usgs":false}],"preferred":false,"id":826965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez- Jurado, L F","contributorId":269364,"corporation":false,"usgs":false,"family":"Lopez- Jurado","given":"L","email":"","middleInitial":"F","affiliations":[{"id":55945,"text":"Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain","active":true,"usgs":false}],"preferred":false,"id":826966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cabrera-Pérez, M Á","contributorId":269366,"corporation":false,"usgs":false,"family":"Cabrera-Pérez","given":"M Á","affiliations":[{"id":55946,"text":"Servicio de Biodiversidad. Dirección General de Protección de la Naturaleza. Gobierno de Canarias. C/Profesor Agustín Millares Carló, 18, 5ª planta, Edificio Servicios Múltiples II, 35071 Las Palmas, Spain","active":true,"usgs":false}],"preferred":false,"id":826967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grismer, J L","contributorId":269367,"corporation":false,"usgs":false,"family":"Grismer","given":"J","email":"","middleInitial":"L","affiliations":[{"id":52102,"text":"La Sierra University, Riverside, CA","active":true,"usgs":false}],"preferred":false,"id":826968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227294,"text":"70227294 - 2021 - Developing climate resilience in aridlands using rock detention structures as green infrastructure","interactions":[],"lastModifiedDate":"2022-01-07T12:46:30.447993","indexId":"70227294","displayToPublicDate":"2021-10-13T06:40:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Developing climate resilience in aridlands using rock detention structures as green infrastructure","docAbstract":"
The potential of ecological restoration and green infrastructure has been long suggested in the literature as adaptation strategies for a changing climate, with an emphasis on revegetation and, more recently, carbon sequestration and stormwater management. Tree planting and “natural” stormwater detention structures such as bioswales, stormwater detention basins, and sediment traps are popular approaches. However, the experimental verification of performance for these investments is scarce and does not address rock detention structures specifically. This 3-year study investigates the infiltration, peak flow mitigation, and microclimate performance of a natural wash stormwater retention installation using one-rock dams in an urban park in Phoenix, Arizona, USA. Field data collected during the study do not depict change in the hydrogeomorphology. However, hydrologic modeling, using data collected from the field, portrays decreases in peak flows and increases in infiltration at the treated sites. Additionally, we observe a lengthening of microclimate cooling effects following rainfall events, as compared with the untreated sites. In this urban arid land setting, the prospect that rock detention structures themselves could reduce warming or heat effects is promising. 
","language":"English","publisher":"MDPI","doi":"10.3390/su132011268","usgsCitation":"Norman, L., Ruddell, B.L., Tosline, D., Fell, M., Greimann, B.P., and Cederberg, J., 2021, Developing climate resilience in aridlands using rock detention structures as green infrastructure: Sustainability, v. 13, no. 20, 11268, 14 p., https://doi.org/10.3390/su132011268.","productDescription":"11268, 14 p.","ipdsId":"IP-127094","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":450469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su132011268","text":"Publisher Index Page"},{"id":394008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.26904296874999,\n 32.46342595776104\n ],\n [\n -110.8245849609375,\n 32.46342595776104\n ],\n [\n -110.8245849609375,\n 34.492975402501536\n ],\n [\n -113.26904296874999,\n 34.492975402501536\n ],\n [\n -113.26904296874999,\n 32.46342595776104\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"20","noUsgsAuthors":false,"publicationDate":"2021-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruddell, Benjamin L.","contributorId":270996,"corporation":false,"usgs":false,"family":"Ruddell","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":49567,"text":"Northern Arizona University, Professor","active":true,"usgs":false}],"preferred":false,"id":830332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tosline, Deborah","contributorId":247510,"corporation":false,"usgs":false,"family":"Tosline","given":"Deborah","affiliations":[{"id":49564,"text":"Reclamation, Hydrologist / Program Manager","active":true,"usgs":false}],"preferred":false,"id":830333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fell, Michael","contributorId":270997,"corporation":false,"usgs":false,"family":"Fell","given":"Michael","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":830334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greimann, Blair P.","contributorId":247511,"corporation":false,"usgs":false,"family":"Greimann","given":"Blair","email":"","middleInitial":"P.","affiliations":[{"id":49565,"text":"Reclamation, Hydraulic Engineer","active":true,"usgs":false}],"preferred":false,"id":830335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cederberg, Jay 0000-0001-6649-7353","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":219724,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830336,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225503,"text":"70225503 - 2021 - Rapa Nui (Easter Island) Rano Raraku crater lake basin: Geochemical characterization and implications for the Ahu-Moai Period","interactions":[],"lastModifiedDate":"2021-10-18T11:04:02.999871","indexId":"70225503","displayToPublicDate":"2021-10-13T06:00:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rapa Nui (Easter Island) Rano Raraku crater lake basin: Geochemical characterization and implications for the Ahu-Moai Period","docAbstract":"

Rano Raraku, the crater lake constrained by basaltic tuff that served as the primary quarry used to construct the moai statues on Rapa Nui (Easter Island), has experienced fluctuations in lake level over the past centuries. As one of the only freshwater sources on the island, understanding the present and past geochemical characteristics of the lake water is critical to understand if the lake could have been a viable freshwater source for Rapa Nui. At the time of sampling in September 2017, the maximum lake depth was ~1 m. The lake level has substantially declined in the subsequent years, with the lake drying almost completely in January 2018. The lake is currently characterized by highly anoxic conditions, with a predominance of ammonium ions on nitrates, a high concentration of organic carbon in the water-sediment interface and reducing conditions of the lake, as evidenced by Mn/Fe and Cr/V ratios. Our estimates of past salinity inferred from the chloride mass balance indicates that it was unlikely that Rano Raraku provided a viable freshwater source for early Rapa Nui people. The installation of an outlet pipe around 1950 that was active until the late 1970s, as well as grazing of horses on the lake margins appear to have significantly impacted the geochemical conditions of Rano Raraku sediments and lake water in recent decades. Such impacts are distinct from natural environmental changes and highlight the need to consider the sensitivity of the lake geochemistry to human activities.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0254793","usgsCitation":"Argiriadis, E., Bortolini, M., Kehrwald, N., Roman, M., Turetta, C., Hanif, S., Erhendi, E.O., Ramirez Aliaga, J.M., McWethy, D.B., Myrbo, A.E., Pauchard, A., Barbante, C., and Battistel, D., 2021, Rapa Nui (Easter Island) Rano Raraku crater lake basin: Geochemical characterization and implications for the Ahu-Moai Period: PLoS ONE, v. 10, no. 16, e0254793, 10 p., https://doi.org/10.1371/journal.pone.0254793.","productDescription":"e0254793, 10 p.","ipdsId":"IP-121884","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":450471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0254793","text":"Publisher Index Page"},{"id":390591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"16","noUsgsAuthors":false,"publicationDate":"2021-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Argiriadis, Elena","contributorId":207231,"corporation":false,"usgs":false,"family":"Argiriadis","given":"Elena","affiliations":[{"id":37489,"text":"University of Venice, Ca' Foscari","active":true,"usgs":false}],"preferred":false,"id":825320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bortolini, Mara","contributorId":267800,"corporation":false,"usgs":false,"family":"Bortolini","given":"Mara","email":"","affiliations":[{"id":55515,"text":"Department of Environmental Sciences, Informatics and Statistics, Cà Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":825321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":825322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roman, Marco","contributorId":202818,"corporation":false,"usgs":false,"family":"Roman","given":"Marco","email":"","affiliations":[{"id":36530,"text":"ECSIN -- European Center for the Sustainable Impact of Nanotechnology","active":true,"usgs":false}],"preferred":false,"id":825323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turetta, Clara","contributorId":264292,"corporation":false,"usgs":false,"family":"Turetta","given":"Clara","email":"","affiliations":[{"id":54428,"text":"Institute of Polar Science – National Research Council ISP-CNR , Italy","active":true,"usgs":false}],"preferred":false,"id":825324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanif, Shahpara","contributorId":267801,"corporation":false,"usgs":false,"family":"Hanif","given":"Shahpara","email":"","affiliations":[{"id":55515,"text":"Department of Environmental Sciences, Informatics and Statistics, Cà Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":825325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erhendi, Evans Osayuki","contributorId":267802,"corporation":false,"usgs":false,"family":"Erhendi","given":"Evans","email":"","middleInitial":"Osayuki","affiliations":[{"id":55515,"text":"Department of Environmental Sciences, Informatics and Statistics, Cà Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":825326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramirez Aliaga, Jose Miguel","contributorId":267803,"corporation":false,"usgs":false,"family":"Ramirez Aliaga","given":"Jose","email":"","middleInitial":"Miguel","affiliations":[{"id":55516,"text":"Centro de Estudios Avanzados, Universidad de Playa Ancha, Chile","active":true,"usgs":false}],"preferred":false,"id":825327,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":825328,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Myrbo, Amy E.","contributorId":264289,"corporation":false,"usgs":false,"family":"Myrbo","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":54425,"text":"St. Croix Watershed Research Station, Science Museum of Minnesota, USA","active":true,"usgs":false}],"preferred":false,"id":825329,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pauchard, Anibal","contributorId":264291,"corporation":false,"usgs":false,"family":"Pauchard","given":"Anibal","affiliations":[{"id":54427,"text":"Institute of Ecology and Biodiversity, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":825330,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Barbante, Carlo","contributorId":202632,"corporation":false,"usgs":false,"family":"Barbante","given":"Carlo","email":"","affiliations":[{"id":36503,"text":"Department of Environmental Sciences, Infomatics, and Statistics, Ca'Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":825331,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Battistel, Dario","contributorId":205865,"corporation":false,"usgs":false,"family":"Battistel","given":"Dario","email":"","affiliations":[{"id":37181,"text":"Department of Environmental Science, Informatics and Statistics, Ca' Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":825332,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70225565,"text":"70225565 - 2021 - A new approach to evaluate and reduce uncertainty of model-based biodiversity projections for conservation policy formulation","interactions":[],"lastModifiedDate":"2022-11-21T16:59:14.411812","indexId":"70225565","displayToPublicDate":"2021-10-13T05:46:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"A new approach to evaluate and reduce uncertainty of model-based biodiversity projections for conservation policy formulation","docAbstract":"

Biodiversity projections with uncertainty estimates under different climate, land-use, and policy scenarios are essential to setting and achieving international targets to mitigate biodiversity loss. Evaluating and improving biodiversity predictions to better inform policy decisions remains a central conservation goal and challenge. A comprehensive strategy to evaluate and reduce uncertainty of model outputs against observed measurements and multiple models would help to produce more robust biodiversity predictions. We propose an approach that integrates biodiversity models and emerging remote sensing and in-situ data streams to evaluate and reduce uncertainty with the goal of improving policy-relevant biodiversity predictions. In this article, we describe a multivariate approach to directly and indirectly evaluate and constrain model uncertainty, demonstrate a proof of concept of this approach, embed the concept within the broader context of model evaluation and scenario analysis for conservation policy, and highlight lessons from other modeling communities.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biab094","usgsCitation":"Myers, B., Weiskopf, S.R., Shiklomanov, A.N., Ferrier, S., Weng, E., Casey, K.A., Harfoot, M., Jackson, S., Leidner, A.K., Lenton, T.M., Luikart, G., Matsuda, H., Pettorelli, N., Rosa, I.M., Ruane, A.C., Senay, G.B., Serbin, S.P., Tittensor, D.P., and Beard, 2021, A new approach to evaluate and reduce uncertainty of model-based biodiversity projections for conservation policy formulation: BioScience, v. 71, no. 12, p. 1261-1273, https://doi.org/10.1093/biosci/biab094.","productDescription":"13 p.","startPage":"1261","endPage":"1273","ipdsId":"IP-101564","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":450474,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/662901","text":"External Repository"},{"id":390945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Bonnie 0000-0002-3170-2633","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":219702,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":825622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":825623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiklomanov, Alexey N. 0000-0003-4022-5979","orcid":"https://orcid.org/0000-0003-4022-5979","contributorId":245541,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexey","email":"","middleInitial":"N.","affiliations":[{"id":49218,"text":"Boston University Department of Earth and Environment","active":true,"usgs":false}],"preferred":false,"id":825626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrier, Simon 0000-0001-7884-2388","orcid":"https://orcid.org/0000-0001-7884-2388","contributorId":245542,"corporation":false,"usgs":false,"family":"Ferrier","given":"Simon","email":"","affiliations":[{"id":49219,"text":"Commonwealth Scientific and Industrial Research Organisation","active":true,"usgs":false}],"preferred":false,"id":825625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weng, Ensheng 0000-0002-1858-4847","orcid":"https://orcid.org/0000-0002-1858-4847","contributorId":267936,"corporation":false,"usgs":false,"family":"Weng","given":"Ensheng","email":"","affiliations":[{"id":49221,"text":"NASA Goddard Institute for Space Studies","active":true,"usgs":false}],"preferred":false,"id":825627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casey, Kimberly Ann 0000-0002-6115-7525","orcid":"https://orcid.org/0000-0002-6115-7525","contributorId":245548,"corporation":false,"usgs":true,"family":"Casey","given":"Kimberly","email":"","middleInitial":"Ann","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":825628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harfoot, Michael 0000-0003-2598-8652","orcid":"https://orcid.org/0000-0003-2598-8652","contributorId":245540,"corporation":false,"usgs":false,"family":"Harfoot","given":"Michael","email":"","affiliations":[{"id":49217,"text":"UN Environment World Conservation Monitoring Centre","active":true,"usgs":false}],"preferred":false,"id":825629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":825630,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leidner, Allison K.","contributorId":149222,"corporation":false,"usgs":false,"family":"Leidner","given":"Allison","email":"","middleInitial":"K.","affiliations":[{"id":17680,"text":"AAAS Science & Technology Policy 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Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":825633,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Matsuda, Hiroyuki 0000-0003-3580-8483","orcid":"https://orcid.org/0000-0003-3580-8483","contributorId":245547,"corporation":false,"usgs":false,"family":"Matsuda","given":"Hiroyuki","email":"","affiliations":[{"id":49222,"text":"Yokohama National University","active":true,"usgs":false}],"preferred":false,"id":825634,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pettorelli, Nathalie","contributorId":197006,"corporation":false,"usgs":false,"family":"Pettorelli","given":"Nathalie","email":"","affiliations":[],"preferred":false,"id":825635,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rosa, Isabel M. D. 0000-0001-8257-1963","orcid":"https://orcid.org/0000-0001-8257-1963","contributorId":245544,"corporation":false,"usgs":false,"family":"Rosa","given":"Isabel","email":"","middleInitial":"M. D.","affiliations":[{"id":40802,"text":"German Centre for Integrative Biodiversity Research","active":true,"usgs":false}],"preferred":false,"id":825636,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ruane, Alexander C. 0000-0002-5582-9217","orcid":"https://orcid.org/0000-0002-5582-9217","contributorId":245546,"corporation":false,"usgs":false,"family":"Ruane","given":"Alexander","email":"","middleInitial":"C.","affiliations":[{"id":49221,"text":"NASA Goddard Institute for Space Studies","active":true,"usgs":false}],"preferred":false,"id":825637,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":825638,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Serbin, Shawn P. 0000-0003-4136-8971","orcid":"https://orcid.org/0000-0003-4136-8971","contributorId":245545,"corporation":false,"usgs":false,"family":"Serbin","given":"Shawn","email":"","middleInitial":"P.","affiliations":[{"id":49220,"text":"U.S. Department of Energy, Brookhaven National Laboratory","active":true,"usgs":false}],"preferred":false,"id":825639,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tittensor, Derek P. 0000-0002-9550-3123","orcid":"https://orcid.org/0000-0002-9550-3123","contributorId":245539,"corporation":false,"usgs":false,"family":"Tittensor","given":"Derek","email":"","middleInitial":"P.","affiliations":[{"id":49216,"text":"UN Environment World Conservation Monitoring Centre, Department of Biology, Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":825640,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":825624,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70224981,"text":"sir20215107 - 2021 - Hydrogeology and gain/loss assessment of two lakes contaminated with per- and polyfluoroalkyl substances, vicinity of Joint Base McGuire-Dix-Lakehurst, New Jersey, 2020–21","interactions":[],"lastModifiedDate":"2022-04-14T16:04:43.405389","indexId":"sir20215107","displayToPublicDate":"2021-10-12T12:25:00","publicationYear":"2021","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":"2021-5107","displayTitle":"Hydrogeology and Gain/Loss Assessment of Two Lakes Contaminated with Per- and Polyfluoroalkyl Substances, Vicinity of Joint Base McGuire-Dix-Lakehurst, New Jersey, 2020–21","title":"Hydrogeology and gain/loss assessment of two lakes contaminated with per- and polyfluoroalkyl substances, vicinity of Joint Base McGuire-Dix-Lakehurst, New Jersey, 2020–21","docAbstract":"

Per- and polyfluoroalkyl substances (PFAS) have been identified in two lakes near Joint Base McGuire-Dix-Lakehurst (JBMDL) in New Jersey—Little Pine Lake in Pemberton Township and Pine Lake in Manchester Township. The streams that enter these lakes begin in or near JBMDL where sources of PFAS contamination are located. The U.S. Geological Survey, in cooperation with the U.S. Air Force Civil Engineer Center, performed a study of the hydrogeology and the gaining or losing conditions associated with these lakes.

Hydrogeologic characteristics in the vicinity of both lakes were assessed using qualitative vertical hydraulic profiling of the subsurface. Groundwater was pumped from test intervals at various depths below land surface, then groundwater levels were measured until they recovered to static conditions. Low permeability aquifer intervals were identified within the aquifer underlying both lakes, consistent with silty and (or) clayey subunits of the Kirkwood-Cohansey aquifer system indicated on geophysical and lithologic logs.

Gaining or losing conditions between groundwater and lake surface water were assessed with continuous monitoring of water levels and temperature in the lakes and in three piezometers per lake screened at different depths in the underlying aquifer from August 2020 through May 2021. At Little Pine Lake, surface water levels were consistently lower than groundwater levels, which is indicative of a gaining condition with groundwater flowing into the lake. Gaining conditions also support the lack of diurnal temperature fluctuations observed in groundwater, but poor response of surface-water temperature prevents complete analysis. The potential for losing conditions at other locations around Little Pine Lake necessitates further assessment in regard to possible PFAS contamination of groundwater in the underlying aquifer. Temperature results were inconclusive at Pine Lake, but surface water levels were consistently higher than groundwater levels throughout the monitoring period, which indicates a losing condition with lake water flowing into the underlying aquifer. Because of the downward vertical hydraulic gradient identified at Pine Lake, there is a strong possibility that PFAS in the lake water has also contaminated groundwater in its vicinity.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215107","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Fiore, A.R., Witzigman, C.M., and Reiser, R.G., 2021, Hydrogeology and gain/loss assessment of two lakes contaminated with per- and polyfluoroalkyl substances, vicinity of Joint Base McGuire-Dix-Lakehurst, New Jersey, 2020–21: U.S. Geological Survey Scientific Investigations Report 2021–5107, 24 p., https://doi.org/10.3133/sir20215107.","productDescription":"Report: viii, 24 p.; Database: 2","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129804","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":390423,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215107/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":390422,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5107/sir20215107.XML"},{"id":390421,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5107/images/"},{"id":390416,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7X63KT0","text":"USGS GeoLog locator database"},{"id":390415,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://www13.state.nj.us/DataMiner","text":"DEP DataMiner database"},{"id":390414,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5107/sir20215107.pdf","text":"Report","size":"3.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5107"},{"id":390413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5107/coverthb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Joint Base McGuire-Dix-Lakehurst","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.68505859374999,\n 39.93711893299023\n ],\n [\n -74.2023468017578,\n 39.93711893299023\n ],\n [\n -74.2023468017578,\n 40.111688665595956\n ],\n [\n -74.68505859374999,\n 40.111688665595956\n ],\n [\n -74.68505859374999,\n 39.93711893299023\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-10-12","noUsgsAuthors":false,"publicationDate":"2021-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":825044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witzigman, Christopher M. 0000-0002-5529-0979","orcid":"https://orcid.org/0000-0002-5529-0979","contributorId":267364,"corporation":false,"usgs":true,"family":"Witzigman","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":825045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reiser, Robert G. 0000-0001-5140-2745 rreiser@usgs.gov","orcid":"https://orcid.org/0000-0001-5140-2745","contributorId":4083,"corporation":false,"usgs":true,"family":"Reiser","given":"Robert","email":"rreiser@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":825046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237672,"text":"70237672 - 2021 - Multiscale hyperspectral imaging of hydrothermal alteration in Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2022-10-18T16:03:23.187708","indexId":"70237672","displayToPublicDate":"2021-10-12T10:53:39","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multiscale hyperspectral imaging of hydrothermal alteration in Yellowstone National Park, USA","docAbstract":"

Imaging spectroscopy (hyperspectral imaging) data have mainly been used to map surface materials covering relatively small areas from airborne sensors over the past 20+ years. As part of the U.S. Geological Survey Integrated hyperspectral, geophysical and geochemical studies of Yellowstone National Park hydrothermal systems project, we have collected multiscale imaging spectrometer data including borehole core, field, and airborne data. These data give us the unique opportunity to map subsurface and surface alteration of shallow epithermal systems at scales ranging from microns to meters per pixel. Airborne Visible and Infrared Imaging Spectrometer (AVIRIS), Corescan HCI-3, HySpex VNIR-1800 and SWIR-384 imaging spectrometers, and a Riegl VZ-2000i terrestrial lidar system were used in this study. Maps utilizing spectral analysis of multiscale hyperspectral data indicate the presence of mineral assemblages consistent with epithermal deposits. Minerals such as alunite, hydrated silica, and kaolinite typically form in steam-heated cap systems and can be found in core and AVIRIS data. At depth, higher temperature fluids that are less acidic produce mixed-layer kaolinite with clay/muscovite and then montmorillonite and muscovite towards the bottom of the borehole. This transition can be seen in AVIRIS and field data at the Grand Canyon of the Yellowstone and in borehole Corescan data at Y-12 Norris-Ii R874. Instrument specifications, collection parameters, and setup for data acquisition will be discussed as well as mapping software and preliminary results.

","largerWorkTitle":"2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Proceedings","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS47720.2021.9553654","usgsCitation":"Hoefen, T.M., Kokaly, R.F., Keith Eric Livo, Meyer, J.M., and Holloway, J.M., 2021, Multiscale hyperspectral imaging of hydrothermal alteration in Yellowstone National Park, USA, in 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Proceedings, p. 132-135, https://doi.org/10.1109/IGARSS47720.2021.9553654.","productDescription":"4 p.","startPage":"132","endPage":"135","ipdsId":"IP-130036","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":408493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.11572265625,\n 44.13885576756881\n ],\n [\n -109.8,\n 44.13885576756881\n ],\n [\n -109.8,\n 45.108423337694084\n ],\n [\n -111.11572265625,\n 45.108423337694084\n ],\n [\n -111.11572265625,\n 44.13885576756881\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":854933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":854934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith Eric Livo 0000-0001-7331-8130","orcid":"https://orcid.org/0000-0001-7331-8130","contributorId":298035,"corporation":false,"usgs":false,"family":"Keith Eric Livo","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":854935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, John Michael 0000-0003-2810-9414","orcid":"https://orcid.org/0000-0003-2810-9414","contributorId":298036,"corporation":false,"usgs":false,"family":"Meyer","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":64484,"text":"Colorado School of Mines, USGS Intern","active":true,"usgs":false}],"preferred":false,"id":854936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":201855,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":854937,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228366,"text":"70228366 - 2021 - Persistent nitrate in alpine waters with changing atmospheric deposition and warming trends","interactions":[],"lastModifiedDate":"2022-02-09T16:06:27.086928","indexId":"70228366","displayToPublicDate":"2021-10-12T09:57:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Persistent nitrate in alpine waters with changing atmospheric deposition and warming trends","docAbstract":"

Nitrate concentrations in high-elevation lakes of the Colorado Front Range remain elevated despite declining trends in atmospherically deposited nitrate since 2000. The current source of this elevated nitrate in surface waters remains elusive, given shifts in additional nitrogen sources via glacial inputs and atmospheric ammonium deposition. We present the complete isotopic composition of nitrate (δ15N, δ18O, and Δ17O) from a suite of nitrate-bearing source waters collected during the summers of 2017–2018 from two alpine ecosystems to constrain the provenance of elevated nitrate in surface waters during the summer open-water season. The results indicate a consistent contribution of uncycled atmospheric nitrate throughout the summer (13–23%) to alpine lakes, despite seasonal changes in source water inputs. The balance of nitrate (as high as 87% in late summer) is likely from nitrate production within the catchment via nitrification of reduced nitrogen sources (e.g., thawed soil organic matter and ammonium deposition) and released with rock glacier meltwater. The role of microbially produced nitrate has become increasingly important over time based on historical surface water samples from the mid-90s to present, a trend coincident with increasing ammonium deposition to alpine systems.

","language":"English","publisher":"American Chemical Society Publications","doi":"10.1021/acs.est.1c02515","usgsCitation":"Clark, S.C., Barnes, R.T., Oleksy, I.A., Baron, J., and Hastings, M.G., 2021, Persistent nitrate in alpine waters with changing atmospheric deposition and warming trends: Environmental Science and Technology, v. 55, no. 21, p. 14946-14956, https://doi.org/10.1021/acs.est.1c02515.","productDescription":"11 p.","startPage":"14946","endPage":"14956","ipdsId":"IP-119356","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":395671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.7049560546875,\n 40\n ],\n [\n -105.3204345703125,\n 40\n ],\n [\n -105.3204345703125,\n 40.50126945841645\n ],\n [\n -105.7049560546875,\n 40.50126945841645\n ],\n [\n -105.7049560546875,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"21","noUsgsAuthors":false,"publicationDate":"2021-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Sydney C.","contributorId":275307,"corporation":false,"usgs":false,"family":"Clark","given":"Sydney","email":"","middleInitial":"C.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":833972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Rebecca T.","contributorId":173578,"corporation":false,"usgs":false,"family":"Barnes","given":"Rebecca","email":"","middleInitial":"T.","affiliations":[{"id":27249,"text":"NSF EAR Postdoctoral Fellow","active":true,"usgs":false}],"preferred":false,"id":833973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oleksy, Isabella A.","contributorId":222908,"corporation":false,"usgs":false,"family":"Oleksy","given":"Isabella","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":833974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hastings, Meredith G.","contributorId":194136,"corporation":false,"usgs":false,"family":"Hastings","given":"Meredith","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":833976,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269698,"text":"70269698 - 2021 - Integrating satellite thermal imagery and global weather datasets for operational actual evapotranspiration mapping and drought early warning applications","interactions":[],"lastModifiedDate":"2025-08-01T13:59:56.951292","indexId":"70269698","displayToPublicDate":"2021-10-12T08:55:52","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrating satellite thermal imagery and global weather datasets for operational actual evapotranspiration mapping and drought early warning applications","docAbstract":"

The development and online access to an operational global actual evapotranspiration (ETa) is described. The global ETa is generated using the Operational Simplified Surface Energy Balance (SSEBop) model with inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and gridded weather datasets. Global and regional ETa, as well as anomaly graphics and data, are posted at https://earlywarning.usgs.gov/fews at dekadal, monthly, and annual aggregation periods at 1 km spatial resolution since 2003. As part of the convergence of evidence, the Famine Early Warning Systems Network (FEWS NET) consults these products along with precipitation- and vegetation-derived products for drought monitoring and early warning applications to avert food insecurity crises around the world.

","conferenceTitle":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","conferenceDate":"July 11-16, 2021","conferenceLocation":"Brussels, Belgium","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS47720.2021.9553963","usgsCitation":"Senay, G.B., Bohms, S., Young, C., Holen, C.L., Mcelhone, M., Budde, M., and Rowland, J., 2021, Integrating satellite thermal imagery and global weather datasets for operational actual evapotranspiration mapping and drought early warning applications, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, v. 2021, Brussels, Belgium, July 11-16, 2021, p. 1769-1772, https://doi.org/10.1109/IGARSS47720.2021.9553963.","productDescription":"4 p.","startPage":"1769","endPage":"1772","ipdsId":"IP-126214","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":493338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2021","noUsgsAuthors":false,"publicationDate":"2021-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":192363,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holen, Cheryl L. 0000-0003-2200-809X","orcid":"https://orcid.org/0000-0003-2200-809X","contributorId":358915,"corporation":false,"usgs":true,"family":"Holen","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":944472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcelhone, Maxwell Thomas 0000-0002-3473-733X","orcid":"https://orcid.org/0000-0002-3473-733X","contributorId":358918,"corporation":false,"usgs":true,"family":"Mcelhone","given":"Maxwell Thomas","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":944473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budde, Michael 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944475,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270573,"text":"70270573 - 2021 - USGS CEOS analysis ready data for land achievements and future plans","interactions":[],"lastModifiedDate":"2025-08-20T14:55:12.018563","indexId":"70270573","displayToPublicDate":"2021-10-12T08:40:17","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"USGS CEOS analysis ready data for land achievements and future plans","docAbstract":"

The efforts of the Committee on Earth Observation Satellites (CEOS) to bring CEOS Analysis Ready Data for Land (CARD4L) products to countries and international organizations quickly and easily continues to receive important support from the U.S. Geological Survey (USGS). As part of its engagement with CARD4L, the USGS worked to address specific Threshold and Target Product Family Specification (PFS) requirements for its Landsat Collection 2 Level-2 science products and in July 2020, received formal CEOS endorsement for 100 percent CARD4L-compliance at the Threshold level for Collection 2 surface reflectance and surface temperature. This endorsement ensures these products meet a level of interoperability with data from other Earth-observing platforms, such as Europe's Sentinel-2 satellites, as the European Space Agency also works toward CARD4L-compliant products. In addition to the Collection 2 Level-2 land surface data products, the USGS recognizes Landsat's potential to make a valuable contribution to aquatic science and environmental monitoring capabilities for aquatic ecosystems, especially in coastal and inland waters. Working with subject matter experts, the USGS has been coordinating an international agency effort to establish a new CARD4L PFS for aquatic reflectance to be considered for CEOS endorsement in 2021.

","conferenceTitle":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","conferenceDate":"July 11-16, 2021","conferenceLocation":"Brussels, Blegium","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS47720.2021.9554440","usgsCitation":"Barnes, C., Siqueira, A., and Labahn, S., 2021, USGS CEOS analysis ready data for land achievements and future plans, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Blegium, July 11-16, 2021, p. 1785-1788, https://doi.org/10.1109/IGARSS47720.2021.9554440.","productDescription":"4 p.","startPage":"1785","endPage":"1788","ipdsId":"IP-129380","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barnes, Christopher","contributorId":359950,"corporation":false,"usgs":false,"family":"Barnes","given":"Christopher","affiliations":[{"id":68993,"text":"KBR Inc., Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":946557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siqueira, Andreia","contributorId":359951,"corporation":false,"usgs":false,"family":"Siqueira","given":"Andreia","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":946558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Labahn, Steven T. 0000-0002-9258-2890 labahn@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2890","contributorId":3994,"corporation":false,"usgs":true,"family":"Labahn","given":"Steven T.","email":"labahn@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":946559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70225752,"text":"70225752 - 2021 - A comprehensive statewide spatiotemporal stream assessment of per- and polyfluoroalkyl substances (PFAS) in an agricultural region of the United States","interactions":[],"lastModifiedDate":"2021-11-10T13:37:00.433918","indexId":"70225752","displayToPublicDate":"2021-10-12T07:34:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive statewide spatiotemporal stream assessment of per- and polyfluoroalkyl substances (PFAS) in an agricultural region of the United States","docAbstract":"

Public concern regarding per- and polyfluoroalkyl substances (PFAS) has grown substantially in recent years. In addition, research has documented multiple potential agriculture-related release pathways for PFAS (e.g., biosolids and livestock manure). Nevertheless, little research on the environmental prevalence of PFAS has been conducted in agricultural regions of the United States. To fill this gap, we conducted the first statewide spatiotemporal assessment of PFAS in Iowa streams across a region of intense agricultural activity. At least one PFAS was detected at 19 of the 60 stream sites sampled (32%) with 10 different PFAS detected statewide. The number of PFAS detected in the stream samples ranged from one to nine. While PFAS were detected in agricultural streams, sites with the most PFAS detected and in the highest concentration were small, effluent-affected streams where wastewater treatment plant discharge is driving stream PFAS concentrations. No individual PFAS had an exposure:activity ratio (EAR) of >1.0 (exposure concentration shown to trigger observed adverse biological activity). Five stream locations, however, had at least one EAR of >0.001, a precautionary effect screening threshold. Additional targeted temporal sampling would be beneficial to specifically capture potential agricultural source applications and corresponding runoff conditions to fully characterize the prevalence of PFAS in such agricultural systems.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.1c00750","usgsCitation":"Kolpin, D., Hubbard, L.E., Cwiertny, D., Meppelink, S., Thompson, D., and Gray, J., 2021, A comprehensive statewide spatiotemporal stream assessment of per- and polyfluoroalkyl substances (PFAS) in an agricultural region of the United States: Environmental Science & Technology Letters, v. 8, no. 11, p. 981-988, https://doi.org/10.1021/acs.estlett.1c00750.","productDescription":"8 p.","startPage":"981","endPage":"988","ipdsId":"IP-132927","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436165,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UJW8GL","text":"USGS data release","linkHelpText":"Water-quality data for a statewide assessment 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Center","active":true,"usgs":true}],"preferred":true,"id":826495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cwiertny, D.M.","contributorId":268360,"corporation":false,"usgs":false,"family":"Cwiertny","given":"D.M.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":826496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":204353,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, D.A.","contributorId":257986,"corporation":false,"usgs":false,"family":"Thompson","given":"D.A.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":826498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, James L. 0000-0002-0807-5635","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":202726,"corporation":false,"usgs":true,"family":"Gray","given":"James L.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":826499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226475,"text":"70226475 - 2021 - Disentangling stationary and dynamic estuarine fish habitat to inform conservation: Species-specific responses to physical habitat and water quality in San Francisco Estuary","interactions":[],"lastModifiedDate":"2021-11-19T13:30:23.292742","indexId":"70226475","displayToPublicDate":"2021-10-12T07:27:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling stationary and dynamic estuarine fish habitat to inform conservation: Species-specific responses to physical habitat and water quality in San Francisco Estuary","docAbstract":"

Estuaries represent critical aquatic habitat that connects surface water distributed between Earth’s landmasses and oceans. They are dynamic transitional ecosystems, which provide important habitat for fishes and other aquatic organisms. Effective conservation of species inhabiting estuaries requires knowledge of the habitat features that drive their abundance and distribution. We sought to elucidate how stationary (i.e., wetlands, shoals, and channels) and dynamic (i.e., salinity, temperature, turbidity, and chlorophyll concentration) habitat features interact to drive distributions of individual fish species. The Pacific coast of the conterminous United States has over 400 estuaries of various types. The largest (historical surface area) is San Francisco Estuary, California. We conducted extensive field observations of fishes in the central San Francisco Estuary among stationary habitat types (i.e., wetland, shoal, and channel) over a 19-month period encompassing substantial variability in dynamic water quality conditions. Most of the species observed, especially native species of special management interest, were associated with tidal wetland habitat. Few species exhibited associations with water quality conditions driven by seasonal (temperature) or a combination of broad- and fine-scale ecosystem processes (salinity and turbidity). Our study provides (1) an empirical demonstration of how researchers can deal with the complex and dynamic expressions of habitat in estuarine systems to address urgent natural resource problems and (2) a clear demonstration of the urgent need for habitat restoration and its likely outcome in systems such as San Francisco Estuary. Restoration of suitable tidal wetland habitat on the West Coast of the United States is likely to be an effective conservation tool to support estuarine fishes given that over 90% of historical tidal wetland habitat in San Francisco Estuary and 85% of vegetated wetland habitat along the Pacific coast of the United States has been lost due to human modification.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10183","usgsCitation":"Feyrer, F.V., Young, M.J., Huntsman, B., and Brown, L.R., 2021, Disentangling stationary and dynamic estuarine fish habitat to inform conservation: Species-specific responses to physical habitat and water quality in San Francisco Estuary: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 13, no. 5, p. 548-563, https://doi.org/10.1002/mcf2.10183.","productDescription":"15 p.","startPage":"548","endPage":"563","ipdsId":"IP-129443","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":450480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10183","text":"Publisher Index Page"},{"id":391913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.27783203125,\n 37.78808138412048\n ],\n [\n -121.0748291015625,\n 37.78808138412048\n ],\n [\n -121.0748291015625,\n 38.43207668538204\n ],\n [\n -122.27783203125,\n 38.43207668538204\n ],\n [\n -122.27783203125,\n 37.78808138412048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Larry R. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":269405,"corporation":false,"usgs":false,"family":"Brown","given":"Larry","email":"","middleInitial":"R.","affiliations":[{"id":55970,"text":"USGS CAWSC (not in system - posthumous)","active":true,"usgs":false}],"preferred":false,"id":827046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70231863,"text":"70231863 - 2021 - Hierarchical functional response of a forager on a wetland landscape","interactions":[],"lastModifiedDate":"2022-06-01T12:08:14.937697","indexId":"70231863","displayToPublicDate":"2021-10-12T07:03:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical functional response of a forager on a wetland landscape","docAbstract":"

We show that for some foragers the form that a functional response takes depends on the temporal and spatial scales considered. In representing the consumption rate of an organism, it may be necessary to use a hierarchy of functional responses. Consider, for example, a wading bird foraging in wetland landscape characterized by a spatial distribution of potential foraging sites, such as ponds. At the smallest time scale of minutes or hours, during which a wading bird is foraging within a single site, the functional response will reflect the local density of prey, as well as features of the site that affect the feeding rate, such as water depth. At this short time scale, which is determined by the giving up time of the wading bird in a particular site, prey density may be relatively constant. The food intake from a particular pond is then the product of the time spent before giving-up time and moving to another site and the rate of prey consumption at that site. A prey-centered functional response is most appropriate for describing the prey consumption rate. We propose that over the longer time scale of a day, during which a wading bird may visit several foraging sites, the type of functional response can be considered to be patch centered. That is, it is influenced by the spatial configuration of sites with available prey and the wading bird’s strategy of choosing among different sites and decisions on how long to stay in any given sites. Over the time scale of a day, if the prey densities stay relatively constant, the patch-centered functional response for a constant environment is adequate. However, on the longer time scale of a breeding season, in which changing water levels result in temporal changes in the availability of prey in sites, a third hierarchical level may be relevant. At that scale, the way in which the landscape pattern changes through time, and how the wading bird responds, influences the functional response. This hierarchical concept applies to a colony of breeding wading birds foraging in wetlands such as the Everglades.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2021.729236","usgsCitation":"DeAngelis, D., Yurek, S., Tennenbaum, S., and Lee, H.W., 2021, Hierarchical functional response of a forager on a wetland landscape: Frontiers in Ecology and Evolution, v. 9, 729236, 13 p., https://doi.org/10.3389/fevo.2021.729236.","productDescription":"729236, 13 p.","ipdsId":"IP-130648","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.729236","text":"Publisher Index Page"},{"id":401524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2021-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":843999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tennenbaum, Stephen","contributorId":292180,"corporation":false,"usgs":false,"family":"Tennenbaum","given":"Stephen","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":844001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":844002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262548,"text":"70262548 - 2021 - Characterizing downstream migration timing of American Eels using commercial catch data in the Penobscot and Delaware rivers","interactions":[],"lastModifiedDate":"2025-01-22T16:13:58.136579","indexId":"70262548","displayToPublicDate":"2021-10-12T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing downstream migration timing of American Eels using commercial catch data in the Penobscot and Delaware rivers","docAbstract":"

Adult “silver-phase” American Eels Anguilla rostrata were a focus of commercial fisheries in the 1970s and 1980s, but stocks have been depleted due to many anthropogenic factors. One significant source of mortality occurs during the downstream migration of eels when passing through turbines at hydroelectric facilities. We sought to construct a model to predict eel migration timing to inform optimization of mitigation actions that might reduce mortality. We utilized commercial catch collected from 16 tributaries in the Penobscot River watershed, Maine (2–10 years), and the Delaware River, New York (31 years). A Bayesian hierarchical approach was used to model the relationship between the timing of silver eel capture and environmental conditions that are known to be related to their movements (i.e., river discharge, water temperature, and lunar cycle). Among river systems, daily catch was associated with higher-than-average flows, temperatures of 7–22°C, and new lunar phase cycles. A cross-validation approach to evaluate the ability of the models to make predictions for new data demonstrated a greater ability (higher R2 values) to predict weekly eel catch (0.01–0.92) compared to daily eel catch (0.00–0.42). In addition, we examined the model’s ability to forecast migration events by applying posterior simulations to make predictions of eel catch by ordinal date. Predicted daily eel catch generally followed the trend of observed daily catch and was stronger for the Delaware River (R2 = 0.67) than for Souadabscook Stream, Maine (R2 = 0.07). Sharp pulses in observed catch were not reflected by the predicted catch. Additionally, variability observed among rivers suggests that site-specific modeling may be advantageous (and necessary) to capture local conditions, thereby improving predictive power. More broadly, our work highlights a novel use of fishery-dependent data in a Bayesian modeling framework to predict intervals of risk for migrating fish.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10182","usgsCitation":"Weaver, D., Sigourney, D., Delucia, M., and Zydlewski, J.D., 2021, Characterizing downstream migration timing of American Eels using commercial catch data in the Penobscot and Delaware rivers: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 13, no. 5, p. 534-547, https://doi.org/10.1002/mcf2.10182.","productDescription":"14 p.","startPage":"534","endPage":"547","ipdsId":"IP-119530","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10182","text":"Publisher Index Page"},{"id":480929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, New York","otherGeospatial":"Delaware River, Penobscot 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biology","interactions":[],"lastModifiedDate":"2022-01-07T15:00:16.589133","indexId":"70227295","displayToPublicDate":"2021-10-11T08:55:00","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Data services in ocean science with a focus on the biology","docAbstract":"

Biological ocean science has a long history; it goes back millennia, whereas the related data services have emerged in the recent digital era of the past decades. To understand where we come from—and why data services are so important—we will start by taking you back to the rise in the study of marine biology—marine biodiversity—and its key players, before immersing ourselves in the data life cycle, past and present joint global initiatives, and systems that allow(ed) scientists to more easily access biological data, online services through some simple keyboard strokes, and the many challenges we still encounter on a daily basis when dealing with these types of data.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ocean science data: Collection, management, networking and services","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1016/B978-0-12-823427-3.00006-2","usgsCitation":"Beja, J., Vandepitte, L., Benson, A., Van de Putte, A., Lear, D., De Pooter, D., Moncoiffe, G., Nicholls, J., Wambiji, N., Miloslavich, P., and Gerovasileiou, V., 2021, Data services in ocean science with a focus on the biology, chap. 2 of Ocean science data: Collection, management, networking and services, p. 67-129, https://doi.org/10.1016/B978-0-12-823427-3.00006-2.","productDescription":"63 p.","startPage":"67","endPage":"129","ipdsId":"IP-129691","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":450483,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/337813","text":"External Repository"},{"id":394020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beja, Joana","contributorId":270998,"corporation":false,"usgs":false,"family":"Beja","given":"Joana","email":"","affiliations":[{"id":56245,"text":"Flanders Marine Institute (VLIZ)","active":true,"usgs":false}],"preferred":false,"id":830337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandepitte, Leen","contributorId":270999,"corporation":false,"usgs":false,"family":"Vandepitte","given":"Leen","email":"","affiliations":[{"id":56245,"text":"Flanders Marine Institute (VLIZ)","active":true,"usgs":false}],"preferred":false,"id":830338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":830339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van de Putte, Anton","contributorId":271000,"corporation":false,"usgs":false,"family":"Van de Putte","given":"Anton","email":"","affiliations":[{"id":56246,"text":"Royal Belgian Institute for Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":830340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lear, Dan","contributorId":270562,"corporation":false,"usgs":false,"family":"Lear","given":"Dan","email":"","affiliations":[],"preferred":false,"id":830341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Pooter, Daphnis","contributorId":271001,"corporation":false,"usgs":false,"family":"De Pooter","given":"Daphnis","email":"","affiliations":[{"id":56247,"text":"Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)","active":true,"usgs":false}],"preferred":false,"id":830342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moncoiffe, Gwenaelle","contributorId":271002,"corporation":false,"usgs":false,"family":"Moncoiffe","given":"Gwenaelle","email":"","affiliations":[{"id":56248,"text":"British Oceanographic Data Centre, National Oceanography Centre","active":true,"usgs":false}],"preferred":false,"id":830343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicholls, John","contributorId":271003,"corporation":false,"usgs":false,"family":"Nicholls","given":"John","email":"","affiliations":[{"id":56249,"text":"Norfish Project, Centre for Environmental Humanities, Trinity College Dublin","active":true,"usgs":false}],"preferred":false,"id":830344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wambiji, Nina","contributorId":271004,"corporation":false,"usgs":false,"family":"Wambiji","given":"Nina","email":"","affiliations":[{"id":40920,"text":"Kenya Marine and Fisheries Research Institute","active":true,"usgs":false}],"preferred":false,"id":830345,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miloslavich, Patricia","contributorId":206627,"corporation":false,"usgs":false,"family":"Miloslavich","given":"Patricia","email":"","affiliations":[{"id":37357,"text":"University of Tasmania, Hobart, Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":830346,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gerovasileiou, Vasilis","contributorId":271005,"corporation":false,"usgs":false,"family":"Gerovasileiou","given":"Vasilis","email":"","affiliations":[{"id":56250,"text":"Hellenic Centre for Marine Research (HCMR), Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC),","active":true,"usgs":false}],"preferred":false,"id":830347,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70229483,"text":"70229483 - 2021 - Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical","interactions":[],"lastModifiedDate":"2022-03-09T14:57:53.290178","indexId":"70229483","displayToPublicDate":"2021-10-11T08:54:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2170,"text":"Journal of Applied Phycology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical","title":"Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical","docAbstract":"

Prymnesium parvum is a toxin-producing harmful alga that has caused ecological and economic damage worldwide. Effective methods to control blooms of this species in the field, however, are unavailable. This study examined five natural compounds present in the invasive plant Arundo donax and one synthetic derivative (5,6-dichlorogramine) for their effect on P. parvum growth. All compounds except one inhibited growth in the following order of potency: ellipticine >  > 5,6-dichlorogramine > 1 H-indole = 2,4,6-trimethyl-benzonitrile > gramine. Ellipticine was by far the most potent inhibitor, with full algicidal activity at concentrations as low as 0.04 mg L−1 and 3- and 9-day IC50 values of 0.012 and 0.007 mg L−1, respectively. A reduction in chlorophyll content and swimming activity and an increase in length and volume (swelling) were documented in algal cells exposed to 0.01–0.02 mg ellipticine L−1. These results show that ellipticine is among the most potent natural algicides identified to date. The sixth compound tested, oleamide, unexpectedly stimulated algal growth above control levels. Overall, these observations confirm the existence of highly potent anti-P. parvum allelochemicals in giant reed and demonstrate potential for using products derived from this plant in the development of natural, environmentally friendly methods to control harmful algal blooms.

","language":"English","publisher":"Springer Link","doi":"10.1007/s10811-021-02545-6","usgsCitation":"Mary, M., Rashel, R.H., and Patino, R., 2021, Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical: Journal of Applied Phycology, v. 33, p. 3853-3860, https://doi.org/10.1007/s10811-021-02545-6.","productDescription":"8 p.","startPage":"3853","endPage":"3860","ipdsId":"IP-126020","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mary, Mousumi","contributorId":288252,"corporation":false,"usgs":false,"family":"Mary","given":"Mousumi","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":837587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rashel, R. H.","contributorId":286960,"corporation":false,"usgs":false,"family":"Rashel","given":"R.","email":"","middleInitial":"H.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":837588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70225746,"text":"70225746 - 2021 - Earthquake magnitude distributions on northern Caribbean faults from combinatorial optimization models","interactions":[],"lastModifiedDate":"2021-11-09T14:33:40.970249","indexId":"70225746","displayToPublicDate":"2021-10-11T08:25:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake magnitude distributions on northern Caribbean faults from combinatorial optimization models","docAbstract":"

On-fault earthquake magnitude distributions are calculated for northern Caribbean faults using estimates of fault slip and regional seismicity parameters. Integer programming, a combinatorial optimization method, is used to determine the optimal spatial arrangement of earthquakes sampled from a truncated Gutenberg-Richter distribution that minimizes the global misfit in slip rates on a complex fault system. Slip rates and their uncertainty on major faults are derived from a previously published GPS block model for the region, with fault traces determined from offshore geophysical mapping and previously published onshore studies. The optimal spatial arrangement of the sampled earthquakes is compared with the 500-year history of earthquake observations. Rupture segmentation of the subduction interface along the Hispaniola-Puerto Rico Trench (PRT) fault and seismic coupling on the PRT fault appear to exert the primary control over this spatial arrangement. Introducing a rupture barrier for the Hispaniola-PRT fault northwest of Mona Passage, based on geophysical and seismicity observations, and assigning a low slip rate of 2 mm/yr on the PRT fault are most consistent with historical earthquakes in the region. The addition of low slip-rate secondary faults as well as segmentation of the Hispaniola and Septentrional strike-slip fault improves the consistency with historical seismicity. An important observation from the modeling is that varying the slip rate on the PRT fault and different segmentation scenarios result in significant changes to the optimal magnitude distribution on faults farther away. In general, optimal on-fault magnitude distributions are more complex and inter-dependent than is typically assumed in probabilistic seismic hazard analysis and probabilistic tsunami hazard analysis.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB022050","usgsCitation":"Geist, E.L., and ten Brink, U., 2021, Earthquake magnitude distributions on northern Caribbean faults from combinatorial optimization models: JGR Solid Earth, v. 126, no. 10, e2021JB022050, 21 p., https://doi.org/10.1029/2021JB022050.","productDescription":"e2021JB022050, 21 p.","ipdsId":"IP-126614","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":450487,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021jb022050","text":"External Repository"},{"id":391507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"northern Caribbean Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75,\n 16\n ],\n [\n -62,\n 16\n ],\n [\n -62,\n 21\n ],\n [\n -75,\n 21\n ],\n [\n -75,\n 16\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":826477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":826478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70225638,"text":"70225638 - 2021 - Assessment of variation in the detection and prevalence of blood parasites among sympatrically breeding geese in western Alaska, USA","interactions":[],"lastModifiedDate":"2021-10-29T13:31:49.584592","indexId":"70225638","displayToPublicDate":"2021-10-11T08:21:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of variation in the detection and prevalence of blood parasites among sympatrically breeding geese in western Alaska, USA","docAbstract":"

Haemosporidian parasites may impact avian health and are subject to shifts in distribution and abundance with changing ecologic conditions. Therefore, understanding variation in parasite prevalence is important for evaluating biologically meaningful changes in infection patterns and associated population level impacts. Previous research in western Alaska, US, indicated a possible increase in Leucocytozoon spp. infection between Emperor Geese (Anser canagicus) sampled in 1996 (<1%, n=134) and during 2011–12 (19.9%, 95% confidence interval [CI]: 3.0–36.8%, n=77); however, different detection methods were used for these estimates. Prior research in this same region identified a lack of Leucocytozoon spp. parasites (0%, n=117) in sympatrically breeding Cackling Geese (Branta hutchinsii minima) in 2011. We molecularly screened blood samples collected from sympatrically breeding Emperor and Cackling Geese in western Alaska during additional breeding seasons to better assess temporal and species-specific variation in the prevalence of blood parasites. We found similar prevalence estimates for Leucocytozoon spp. parasites in Emperor Goose blood samples collected in 1998 and 2014, suggesting consistent infection of Emperor Geese with blood parasites at these time points. Using samples from sympatric geese sampled during 2014, we found evidence for a higher incidence of parasites among Emperor Geese (20.3%, 95% CI: 11.8–32.7%) compared to Cackling Geese (3.6%, 95% CI: 1.1–11.0%), reinforcing the previous finding of species-specific differences in infection. Furthermore, we detected Leucocytozoon, Haemoproteus, and Plasmodium spp. blood parasites in unflighted goslings of both species, supporting the possible transmission of these parasites at western Alaska breeding grounds. Our results help to clarify that prevalence of Leucocytozoon spp. parasites have probably remained consistent among Emperor Geese breeding in western Alaska since the late 1990s and that this species may disproportionally harbor Leucocytozoon spp. compared to sympatrically breeding Cackling Geese.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-20-00159","usgsCitation":"Buchheit, R.M., Schmutz, J., Reed, J.A., Uher-Koch, B.D., and Ramey, A.M., 2021, Assessment of variation in the detection and prevalence of blood parasites among sympatrically breeding geese in western Alaska, USA: Journal of Wildlife Diseases, v. 57, no. 4, p. 799-807, https://doi.org/10.7589/JWD-D-20-00159.","productDescription":"9 p.","startPage":"799","endPage":"807","ipdsId":"IP-122123","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":436166,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F7LD2I","text":"USGS data release","linkHelpText":"Blood Parasite Infection Data from Emperor Geese (Anser canagicus) and Cackling Geese (Branta hutchinsii minima), Yukon-Kuskokwim Delta, Alaska, 1998-2014"},{"id":391147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Manokinak River, Yukon-Kuskokwim Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -165.673828125,\n 60.989095448939196\n ],\n [\n -164.5037841796875,\n 60.989095448939196\n ],\n [\n -164.5037841796875,\n 61.4597705702975\n ],\n [\n -165.673828125,\n 61.4597705702975\n ],\n [\n -165.673828125,\n 60.989095448939196\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buchheit, Raymond M.","contributorId":268165,"corporation":false,"usgs":false,"family":"Buchheit","given":"Raymond","email":"","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":826028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel 0000-0002-6516-0836","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":264776,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","affiliations":[{"id":54549,"text":"retired from USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":826029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, John A. 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":268167,"corporation":false,"usgs":true,"family":"Reed","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":826030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":826031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":826032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227461,"text":"70227461 - 2021 - A new analysis of caldera unrest through the integration of geophysical data and FEM modeling: The Long Valley caldera case study","interactions":[],"lastModifiedDate":"2022-01-18T13:17:45.229897","indexId":"70227461","displayToPublicDate":"2021-10-11T07:14:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A new analysis of caldera unrest through the integration of geophysical data and FEM modeling: The Long Valley caldera case study","docAbstract":"
The Long Valley Caldera, located at the eastern edge of the Sierra Nevada range in California, has been in a state of unrest since the late 1970s. Seismic, gravity and geodetic data strongly suggest that the source of unrest is an intrusion beneath the caldera resurgent dome. However, it is not clear yet if the main contribution to the deformation comes from pulses of ascending high-pressure hydrothermal fluids or low viscosity magmatic melts. To characterize the nature of the intrusion, we developed a 3D finite element model which includes topography and crust heterogeneities. We first performed joint numerical inversions of uplift and Electronic Distance Measurement baseline length change data, collected during the period 1985–1999, to infer the deformation-source size, position, and overpressure. Successively, we used this information to refine the source overpressure estimation, compute the gravity potential and infer the intrusion density from the inversion of deformation and gravity data collected in 1982–1998. The deformation source is located beneath the resurgent dome, at a depth of 7.5 ± 0.5 km and a volume change of 0.21 ± 0.04 km3. We assumed a rhyolite compressibility of 0.026 ± 0.0011 GPa−1 (volume fraction of water between 0% and 30%) and estimated a reservoir compressibility of 0.147 ± 0.037 GPa−1. We obtained a density of 1856 ± 72 kg/m3. This density is consistent with a rhyolite melt, with 20% to 30% of dissolved hydrothermal fluids.
","language":"English","publisher":"MDPI","doi":"10.3390/rs13204054","usgsCitation":"Pulvirenti, F., Silverii, F., and Battaglia, M., 2021, A new analysis of caldera unrest through the integration of geophysical data and FEM modeling: The Long Valley caldera case study: Remote Sensing, v. 13, no. 20, 4054, 24 p., https://doi.org/10.3390/rs13204054.","productDescription":"4054, 24 p.","ipdsId":"IP-131938","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":450490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13204054","text":"Publisher Index Page"},{"id":394449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.41589355468749,\n 37.16469418870222\n ],\n [\n -118.125,\n 37.16469418870222\n ],\n [\n -118.125,\n 38.47509432050245\n ],\n [\n -119.41589355468749,\n 38.47509432050245\n ],\n [\n -119.41589355468749,\n 37.16469418870222\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"20","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Pulvirenti, Fabio","contributorId":241094,"corporation":false,"usgs":false,"family":"Pulvirenti","given":"Fabio","email":"","affiliations":[{"id":48203,"text":"JPL/Caltech","active":true,"usgs":false}],"preferred":false,"id":831032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silverii, Francesca","contributorId":261713,"corporation":false,"usgs":false,"family":"Silverii","given":"Francesca","email":"","affiliations":[{"id":39558,"text":"Scripps Inst. Oceanography","active":true,"usgs":false}],"preferred":false,"id":831033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":831034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224989,"text":"70224989 - 2021 - Past, present, and future of Mars Polar Science: Outcomes and outlook from the 7th International Conference on Mars Polar Science and Exploration","interactions":[],"lastModifiedDate":"2021-10-13T12:15:32.552149","indexId":"70224989","displayToPublicDate":"2021-10-11T07:12:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8607,"text":"The Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Past, present, and future of Mars Polar Science: Outcomes and outlook from the 7th International Conference on Mars Polar Science and Exploration","docAbstract":"

Mars Polar Science is a subfield of Mars science that encompasses all studies of the cryosphere of Mars and its interaction with the Martian environment. Every 4 yr, the community of scientists dedicated to this subfield meets to discuss new findings and debate open issues in the International Conference on Mars Polar Science and Exploration (ICMPSE). This paper summarizes the proceedings of the seventh ICMPSE and the progress made since the sixth edition. We highlight the most important advances and present the most salient open questions in the field today, as discussed and agreed upon by the participants of the conference. We also feature agreed-upon suggestions for future methods, measurements, instruments, and missions that would be essential to answering the main open questions presented. This work is thus an overview of the current status of Mars Polar Science and is intended to serve as a road map for the direction of the field during the next 4 yr and beyond, helping to shape its contribution within the larger context of planetary science and exploration.

","language":"English","publisher":"AAS","doi":"10.3847/PSJ/ac19a5","usgsCitation":"Becerra, P., Smith, I.B., Hibbard, S.M., Andres, C., Bapst, J., Bramson, A., Buhler, P., Coronato, A., Diniega, S., Emmett, J., Grau Galofre, A., Herny, C., Kahre, M., Knightly, J.P., Nerozzi, S., Pascuzzo, A., Portyankina, G., Rabassa, J., Tamppari, L., Titus, T.N., Whitten, J., and Yoldi, Z., 2021, Past, present, and future of Mars Polar Science: Outcomes and outlook from the 7th International Conference on Mars Polar Science and Exploration: The Planetary Science Journal, v. 2, no. 5, 209, 22 p., https://doi.org/10.3847/PSJ/ac19a5.","productDescription":"209, 22 p.","ipdsId":"IP-129449","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":450492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/ac19a5","text":"Publisher Index Page"},{"id":390463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"2","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Becerra, Patricio","contributorId":173341,"corporation":false,"usgs":false,"family":"Becerra","given":"Patricio","email":"","affiliations":[],"preferred":false,"id":825087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Isaac B.","contributorId":200695,"corporation":false,"usgs":false,"family":"Smith","given":"Isaac","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":825088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hibbard, Shannon M","contributorId":229484,"corporation":false,"usgs":false,"family":"Hibbard","given":"Shannon","email":"","middleInitial":"M","affiliations":[{"id":41656,"text":"U. 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We develop a spatio-temporal geostatistical interpolation framework to estimate hypoxia extent (dissolved oxygen [DO] concentrations below 2 mg/L) with data from a network of DO loggers. The framework uses empirical orthogonal functions and Bayesian kriging to identify the spatially varying temporal pattern and estimate the distribution of hypoxia, including estimation uncertainty. A prototype web application is also developed in R. The framework is applied to analyze spatio-temporal dynamics of DO in the central basin of Lake Erie in North America using data sampled from a logger network placed on the lake bottom during the summers of 2014, 2015, and 2016. Cross-validation results demonstrate that the framework is capable of capturing the dynamic nature of bottom hypoxia over offshore areas, but nearshore areas have poor interpolation performance due to the impacts of complex physical processes such as seiche events. The findings showed that in the central basin, hypoxia started to emerge in early August of 2014, while in 2015 and 2016 hypoxia began in July. The peak hypoxia extent occurred in late September 2014, mid-August 2015, and early September 2016. The prediction error of the overall spatial extent of hypoxia was as large as 25% of the interpolation area based on current logger deployment. Based on the cross-validation and interpolation error, we suggest placing more loggers in nearshore areas to reduce prediction error near the margins of the hypoxic zone.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR027676","usgsCitation":"Xu, W., Collingsworth, P.D., Kraus, R., and Minsker, B., 2021, Spatio-temporal analysis of hypoxia in the Central Basin of Lake Erie of North America: Water Resources Research, e2020WR027676, 21 p., https://doi.org/10.1029/2020WR027676.","productDescription":"e2020WR027676, 21 p.","ipdsId":"IP-118196","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr027676","text":"Publisher Index Page"},{"id":485521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"central Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.42336336234484,\n 42.064125981872365\n ],\n [\n -80.63612291121615,\n 42.61061044439231\n ],\n [\n -81.33119453643565,\n 42.65041782076645\n ],\n [\n -82.23999909377955,\n 42.12924860730712\n ],\n [\n -82.58547021684097,\n 41.98346357854376\n ],\n [\n -82.60591624431427,\n 41.37891831441843\n ],\n [\n -82.04907153916253,\n 41.448543421544855\n ],\n [\n -81.71420631389763,\n 41.45777327935954\n ],\n [\n -81.26435037076813,\n 41.717583757728164\n ],\n [\n -80.42336336234484,\n 42.064125981872365\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Wenzhao","contributorId":200526,"corporation":false,"usgs":false,"family":"Xu","given":"Wenzhao","email":"","affiliations":[],"preferred":false,"id":935976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":935977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsker, Barbara","contributorId":200528,"corporation":false,"usgs":false,"family":"Minsker","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":935979,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267300,"text":"70267300 - 2021 - Differential landscape use by forest owls two years after a mixed-severity wildfire","interactions":[],"lastModifiedDate":"2025-05-20T16:45:11.657817","indexId":"70267300","displayToPublicDate":"2021-10-11T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Differential landscape use by forest owls two years after a mixed-severity wildfire","docAbstract":"

Owls are important avian predators in forested systems, but little is known about landscape use by most forest-adapted owl species in environments impacted by mixed-severity wildfire. To better understand species-specific patterns of post-wildfire landscape use within an owl guild, we used passive acoustic monitoring using autonomous recording units. The technology is effective for multi-species surveys, especially if some species are rare, nocturnal, or difficult to detect by traditional means. In 2017, we surveyed the interior and adjacent unburned areas of a 10,700-ha mixed-severity wildfire that burned in 2015 in southwest Oregon. We used occupancy modeling to identify patterns of landscape use by five species of forest owls: barred owls (Strix varia), great horned owls (Bubo virginianus), western screech-owls (Megascops kennicottii), northern pygmy-owls (Glaucidium gnoma), and northern saw-whet owls (Aegolius acadicus). Our results showed a positive relationship between increasing fire severity and probability of use by western screech-owls and a similar but somewhat weaker relationship for northern pygmy-owls. Barred owls were rarely detected in severely burned areas and their use decreased with increased fire severity. We observed generally low landscape use for great horned owls, which decreased with increased fire severity and at higher elevations. Thus, four out of the five species appeared to use recently burned forests at different levels, with only northern saw-whet owls showing near-complete avoidance of the burned area. These findings increase our understanding of the basic ecology of each species and highlight the varied use of burned areas within this community. These previously undocumented patterns of landscape use in burned landscapes should provide insights to managers and policymakers in the Pacific Northwest as climate shifts, and fires may increase in size, frequency, and severity.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3770","usgsCitation":"Leila S. Duchac, Lesmeister, D., Dugger, K., and Davis, R., 2021, Differential landscape use by forest owls two years after a mixed-severity wildfire: Ecosphere, v. 12, no. 10, e03770, 20 p., https://doi.org/10.1002/ecs2.3770.","productDescription":"e03770, 20 p.","ipdsId":"IP-120447","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3770","text":"Publisher Index Page"},{"id":486234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Klamath Mountains, southwestern Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.15473942336051,\n 42.979349859959285\n ],\n [\n -123.15473942336051,\n 42.74219443185612\n ],\n [\n -122.70304770341082,\n 42.74219443185612\n ],\n [\n -122.70304770341082,\n 42.979349859959285\n ],\n [\n -123.15473942336051,\n 42.979349859959285\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Leila S. Duchac","contributorId":355573,"corporation":false,"usgs":false,"family":"Leila S. Duchac","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":937670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B.","contributorId":355574,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon B.","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":937671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Raymond J.","contributorId":355575,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond J.","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":937672,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}