{"pageNumber":"1421","pageRowStart":"35500","pageSize":"25","recordCount":165227,"records":[{"id":70047312,"text":"70047312 - 2013 - Emerging methods for the study of coastal ecosystem landscape structure and change","interactions":[],"lastModifiedDate":"2017-04-06T15:31:11","indexId":"70047312","displayToPublicDate":"2013-07-31T10:15:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Emerging methods for the study of coastal ecosystem landscape structure and change","docAbstract":"Coastal landscapes are heterogeneous, dynamic, and evolve over a range of time scales due to intertwined climatic, geologic, hydrologic, biologic, and meteorological processes, and are also heavily impacted by human development, commercial activities, and resource extraction. A diversity of complex coastal systems around the globe, spanning glaciated shorelines to tropical atolls, wetlands, and barrier islands are responding to multiple human and natural drivers. Interdisciplinary research based on remote-sensing observations linked to process studies and models is required to understand coastal ecosystem landscape structure and change. Moreover, new techniques for coastal mapping and monitoring are increasingly serving the needs of policy-makers and resource managers across local, regional, and national scales. Emerging remote-sensing methods associated with a diversity of instruments and platforms are a key enabling element of integrated coastal ecosystem studies. These investigations require both targeted and synoptic mapping, and involve the monitoring of formative processes such as hydrodynamics, sediment transport, erosion, accretion, flooding, habitat modification, land-cover change, and biogeochemical fluxes.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.810445","usgsCitation":"Brock, J., Danielson, J.J., and Purkis, S., 2013, Emerging methods for the study of coastal ecosystem landscape structure and change: International Journal of Remote Sensing, v. 34, no. 18, p. 6283-6285, https://doi.org/10.1080/01431161.2013.810445.","productDescription":"3 p.","startPage":"6283","endPage":"6285","ipdsId":"IP-045935","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275617,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.810445"}],"volume":"34","issue":"18","noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d82617","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":481695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","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":481696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purkis, Sam","contributorId":95363,"corporation":false,"usgs":true,"family":"Purkis","given":"Sam","affiliations":[],"preferred":false,"id":481697,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047311,"text":"sir20135072 - 2013 - Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","interactions":[],"lastModifiedDate":"2013-07-31T09:00:08","indexId":"sir20135072","displayToPublicDate":"2013-07-31T08:37:00","publicationYear":"2013","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":"2013-5072","title":"Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","docAbstract":"Groundwater quality and aquifer lithologies in the Piedmont and Blue Ridge Physiographic Provinces in the eastern United States vary widely as a result of complex geologic history. Bedrock composition (mineralogy) and geochemical conditions in the aquifer directly affect the occurrence (presence in rock and groundwater) and distribution (concentration and mobility) of potential naturally occurring contaminants, such as arsenic and radionuclides, in drinking water. To evaluate potential relations between aquifer lithology and the spatial distribution of naturally occurring contaminants, the crystalline-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces and the siliciclastic-rock aquifers of the Early Mesozoic basin of the Piedmont Physiographic Province were divided into 14 lithologic groups, each having from 1 to 16 lithochemical subgroups, based on primary rock type, mineralogy, and weathering potential. Groundwater-quality data collected by the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program from 1994 through 2008 from 346 wells and springs in various hydrogeologic and land-use settings from Georgia through New Jersey were compiled and analyzed for this study. Analyses for most constituents were for filtered samples, and, thus, the compiled data consist largely of dissolved concentrations. Concentrations were compared to criteria for protection of human health, such as U.S. Environmental Protection Agency (USEPA) drinking water maximum contaminant levels and secondary maximum contaminant levels or health-based screening levels developed by the USGS NAWQA Program in cooperation with the USEPA, the New Jersey Department of Environmental Protection, and Oregon Health & Science University. Correlations among constituent concentrations, pH, and oxidation-reduction (redox) conditions were used to infer geochemical controls on constituent mobility within the aquifers.\n\nOf the 23 trace-element constituents evaluated, arsenic, manganese, and zinc were detected in one or more water samples at concentrations greater than established human health-based criteria. Arsenic concentrations typically were less than 1 microgram per liter (µg/L) in most groundwater samples; however, concentrations of arsenic greater than 1 µg/L frequently were detected in groundwater from clastic lacustrine sedimentary rocks of the Early Mesozoic basin aquifers and from metamorphosed clastic sedimentary rocks of the Piedmont and Blue Ridge crystalline rock aquifers. Groundwater from these rock units had elevated pH compared to other rock units evaluated in this study. Of the nine samples for which arsenic concentration was greater than 10 µg/L, six were classified as oxic and three as anoxic, and seven had pH of 7.2 or greater. Manganese concentrations typically were less than 10 µg/L in most samples; however, 8.3 percent of samples from the Piedmont and Blue Ridge crystalline-rock aquifers and 3.0 percent of samples from the Early Mesozoic basin siliciclastic rock aquifers had manganese concentrations greater than the 300-µg/L health-based screening level. The positive correlation of manganese with iron and ammonia and the negative correlation of manganese with dissolved oxygen and nitrate are consistent with the reductive dissolution of manganese oxides in the aquifer. Zinc concentrations typically were less than 10 µg/L in the groundwater samples considered in the study, but 0.4 percent and 5.5 percent of the samples had concentrations greater than the health-based screening level of 2,000 µg/L and one-tenth of the health-based screening level, respectively. The mean rank concentration of zinc in groundwater from the quartz-rich sedimentary rock lithologic group was greater than that for other lithologic groups even after eliminating samples collected from wells constructed with galvanized casing.\n\nApproximately 90 percent of 275 groundwater samples had radon-222 concentrations that were greater than the proposed alternative maximum contaminant level of 300 picocuries per liter. In contrast, only 2.0 percent of 98 samples had combined radium (radium-226 plus radium-228) concentrations greater than the maximum contaminant level of 5.0 picocuries per liter, and 0.6 percent of 310 samples had uranium concentrations greater than the maximum contaminant level of 30 µg/L. Radon concentrations were highest in the Piedmont and Blue Ridge crystalline-rock aquifers, especially in granite, and elevated median concentrations were noted in the Piedmont Early Mesozoic basin aquifers, but without the extreme maximum concentrations found in the crystalline rocks (granites). Although the siliciclastic lithologies had a greater frequency of elevated uranium concentrations, radon and radium were commonly detected in water from both siliciclastic and crystalline lithologies. Uranium concentrations in groundwater from clastic sedimentary and clastic lacustrine/evaporite sedimentary lithologic groups within the Early Mesozoic basin aquifers, which had median concentrations of 3.6 and 3.1 µg/L, respectively, generally were higher than concentrations for other siliciclastic lithologic groups, which had median concentrations less than 1 µg/L. Although 89 percent of the 260 samples from crystalline-rock aquifers had uranium concentrations less than 1 µg/L, 0.8 percent had uranium concentrations greater than the 30-µg/L maximum contaminant level, and 6.5 percent had concentrations greater than 3 µg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135072","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Chapman, M.J., Cravotta, C.A., Szabo, Z., and Lindsay, B.D., 2013, Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008: U.S. Geological Survey Scientific Investigations Report 2013-5072, xi, 74 p.; Tables, https://doi.org/10.3133/sir20135072.","productDescription":"xi, 74 p.; Tables","numberOfPages":"90","onlineOnly":"Y","temporalStart":"1994-01-01","temporalEnd":"2008-01-01","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":275610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135072.bmp"},{"id":275608,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5072/"},{"id":275609,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5072/pdf/sir2013-5072.pdf"},{"id":275607,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5072/table/Chapman_PIED6_Tables.xlsx"}],"country":"United States","state":"Alabama;Delaware;Georgia;Maryl;New Jersey;North Carolina;Pennsylvania;Virginia;West Virginia","otherGeospatial":"Piedmont And Blue Ridge Physiographic Provinces","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0,32.0 ], [ -86.0,44.0 ], [ -70.0,44.0 ], [ -70.0,32.0 ], [ -86.0,32.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d8261b","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":481691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":481693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsay, Bruce D.","contributorId":102360,"corporation":false,"usgs":true,"family":"Lindsay","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047310,"text":"70047310 - 2013 - A new dry hypothesis for the formation of Martian linear gullies","interactions":[],"lastModifiedDate":"2018-11-01T15:40:11","indexId":"70047310","displayToPublicDate":"2013-07-31T08:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"A new dry hypothesis for the formation of Martian linear gullies","docAbstract":"Long, narrow grooves found on the slopes of martian sand dunes have been cited as evidence of liquid water via the hypothesis that melt-water initiated debris flows eroded channels and deposited lateral levées. However, this theory has several short-comings for explaining the observed morphology and activity of these linear gullies. We present an alternative hypothesis that is consistent with the observed morphology, location, and current activity: that blocks of CO<sub>2</sub> ice break from over-steepened cornices as sublimation processes destabilize the surface in the spring, and these blocks move downslope, carving out levéed grooves of relatively uniform width and forming terminal pits. To test this hypothesis, we describe experiments involving water and CO<sub>2</sub> blocks on terrestrial dunes and then compare results with the martian features. Furthermore, we present a theoretical model of the initiation of block motion due to sublimation and use this to quantitatively compare the expected behavior of blocks on the Earth and Mars. The model demonstrates that CO<sub>2</sub> blocks can be expected to move via our proposed mechanism on the Earth and Mars, and the experiments show that the motion of these blocks will naturally create the main morphological features of linear gullies seen on Mars.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.04.006","usgsCitation":"Diniega, S., Hansen, C.J., McElwaine, J.N., Hugenholtz, C., Dundas, C.M., McEwen, A.S., and Bourke, M.C., 2013, A new dry hypothesis for the formation of Martian linear gullies: Icarus, v. 225, p. 526-537, https://doi.org/10.1016/j.icarus.2013.04.006.","productDescription":"12 p.","startPage":"526","endPage":"537","numberOfPages":"12","ipdsId":"IP-039273","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":488139,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1475116","text":"External Repository"},{"id":275606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275605,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2013.04.006"}],"otherGeospatial":"Mars","volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7ae4b076c3a8d82613","contributors":{"authors":[{"text":"Diniega, Serina","contributorId":80532,"corporation":false,"usgs":true,"family":"Diniega","given":"Serina","affiliations":[],"preferred":false,"id":481689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McElwaine, Jim N.","contributorId":58923,"corporation":false,"usgs":true,"family":"McElwaine","given":"Jim","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":481685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugenholtz, C.H.","contributorId":69041,"corporation":false,"usgs":true,"family":"Hugenholtz","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":481687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":481686,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bourke, Mary C.","contributorId":105992,"corporation":false,"usgs":true,"family":"Bourke","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044213,"text":"70044213 - 2013 - Multi-scale habitat selection of the endangered Hawaiian Goose","interactions":[],"lastModifiedDate":"2013-11-15T10:24:10","indexId":"70044213","displayToPublicDate":"2013-07-30T16:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale habitat selection of the endangered Hawaiian Goose","docAbstract":"After a severe population reduction during the mid-20<sup>th</sup> century, the endangered Hawaiian Goose (Branta sandvicensis), or Nēnē, has only recently re-established its seasonal movement patterns on Hawai‘i Island. Little is currently understood about its movements and habitat use during the nonbreeding season. The objectives of this research were to identify habitats preferred by two subpopulations of the Nēnē and how preferences shift seasonally at both meso-and fine scales. From 2009 to 2011, ten Nēnē ganders were outfitted with 40-to 45-g satellite transmitters with GPS capability. We used binary logistic regression to compare habitat use versus availability and an information-theoretic approach for model selection. Meso-scale habitat modeling revealed that Nēnē preferred exotic grass and human-modified landscapes during the breeding and molting seasons and native subalpine shrubland during the nonbreeding season. Fine-scale habitat modeling further indicated preference for exotic grass, bunch grass, and absence of trees. Proximity to water was important during molt, suggesting that the presence of water may provide escape from introduced mammalian predators while Nēnē are flightless. Finescale species-composition data added relatively little to understanding of Nēnē habitat preferences modeled at the meso scale, suggesting that the meso-scale is appropriate for management planning. Habitat selection during our study was consistent with historical records, although dissimilar from more recent studies of other subpopulations. Nēnē make pronounced seasonal movements between existing reserves and use distinct habitat types; understanding annual patterns has implications for the protection and restoration of important seasonal habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1525/cond.2012.120022","usgsCitation":"Leopold, C.R., and Hess, S.C., 2013, Multi-scale habitat selection of the endangered Hawaiian Goose: Condor, v. 115, no. 1, p. 17-27, https://doi.org/10.1525/cond.2012.120022.","productDescription":"11 p.","startPage":"17","endPage":"27","ipdsId":"IP-040017","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.120022","text":"Publisher Index Page"},{"id":275549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275530,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.120022"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.824585,19.106244 ], [ -155.824585,19.806762 ], [ -155.131073,19.806762 ], [ -155.131073,19.106244 ], [ -155.824585,19.106244 ] ] ] } } ] }","volume":"115","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d258e4b0cecbe8fa981c","contributors":{"authors":[{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":475113,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047305,"text":"70047305 - 2013 - Age structure of moose (Alces alces) killed by gray wolves (Canis lupus) in northeastern Minnesota, 1967-2011","interactions":[],"lastModifiedDate":"2020-12-30T16:51:35.796362","indexId":"70047305","displayToPublicDate":"2013-07-30T16:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Age structure of moose (<i>Alces alces</i>) killed by gray wolves (<i>Canis lupus</i>) in northeastern Minnesota, 1967-2011","title":"Age structure of moose (Alces alces) killed by gray wolves (Canis lupus) in northeastern Minnesota, 1967-2011","docAbstract":"<p><span>The ages of 77 adult Moose (</span><i>Alces alces</i><span>) killed by Gray Wolves (</span><i>Canis lupus</i><span>) during the period 1967–2011 in northeastern Minnesota were significantly older than those of a sample of 17,585 Moose killed by hunters in nearby Ontario. Our findings support those of earlier studies of protected Moose populations in national parks that found that Gray Wolves tend to kill disproportionately more older Moose.</span></p>","language":"English","publisher":"Ottawa Field-Naturalists' Club","doi":"10.22621/cfn.v127i1.1412","usgsCitation":"Mech, L.D., and Nelson, M.E., 2013, Age structure of moose (Alces alces) killed by gray wolves (Canis lupus) in northeastern Minnesota, 1967-2011: Canadian Field-Naturalist, v. 127, no. 1, p. 70-71, https://doi.org/10.22621/cfn.v127i1.1412.","productDescription":"2 p.","startPage":"70","endPage":"71","ipdsId":"IP-044233","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473634,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v127i1.1412","text":"Publisher Index 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 \"}}]}","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa9808","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":481675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Michael E.","contributorId":7397,"corporation":false,"usgs":true,"family":"Nelson","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047304,"text":"70047304 - 2013 - Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge","interactions":[],"lastModifiedDate":"2025-05-13T18:13:21.234825","indexId":"70047304","displayToPublicDate":"2013-07-30T16:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge","docAbstract":"We determine the inter-annual variations in diagenetic reaction rates of sedimentary iron (Fe ) in an east Florida subterranean estuary and evaluate the connection between metal fluxes and recharge to the coastal aquifer.  Over the three-year study period (from 2004 to 2007), the amount of Fe-oxides reduced at the study site decreased from 192 g/yr to 153 g/yr and associated organic carbon (OC) remineralization decreased from 48 g/yr to 38 g/yr.  These reductions occurred although the Fe-oxide reduction rates remained constant around 1 mg/cm<sup>2</sup>/yr.  These results suggest that changes in flow rates of submarine groundwater discharge (SGD) related to changes in precipitation may be important to fluxes of the diagenetic reaction products.  Rainfall at a weather station approximately 5 km from the field area decreased from 12.6 cm/month to 8.4 cm/month from 2004 to 2007.  Monthly potential evapotranspiration (PET) calculated from Thornthwaite’s method indicated potential evapotranspiration cycled from about 3 cm/month in the winter to about 15 cm/month in the summer so that net annual recharge to the aquifer decreased from 40 cm in 2004 to -10 cm in 2007.  Simultaneously, with the decrease in recharge of groundwater, freshwater SGD decreased by around 20% and caused the originally 25 m wide freshwater seepage face to decrease in width by about 5 m.  The smaller seepage face reduced the area under which Fe-oxides were undergoing reductive dissolution.  Consequently, the observed decrease in Fe flux is controlled by hydrology of the subterranean estuary.  These results point out the need to better understand linkages between temporal variations in diagenetic reactions and changes in flow within subterranean estuaries in order to accurately constrain their contribution to oceanic fluxes of solutes from subterranean estuaries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.10.055","usgsCitation":"Roy, M., Martin, J., Cable, J.E., and Smith, C.G., 2013, Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge: Geochimica et Cosmochimica Acta, v. 103, p. 301-315, https://doi.org/10.1016/j.gca.2012.10.055.","productDescription":"15 p.","startPage":"301","endPage":"315","numberOfPages":"15","ipdsId":"IP-032648","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275600,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.10.055"},{"id":275601,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Indian River Lagoon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.643947,28.05794 ], [ -80.643947,28.164889 ], [ -80.559226,28.164889 ], [ -80.559226,28.05794 ], [ -80.643947,28.05794 ] ] ] } } ] }","volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d25be4b0cecbe8fa983c","contributors":{"authors":[{"text":"Roy, Moutusi","contributorId":27998,"corporation":false,"usgs":true,"family":"Roy","given":"Moutusi","email":"","affiliations":[],"preferred":false,"id":481672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Jonathan B.","contributorId":68450,"corporation":false,"usgs":true,"family":"Martin","given":"Jonathan B.","affiliations":[],"preferred":false,"id":481673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cable, Jaye E.","contributorId":83658,"corporation":false,"usgs":true,"family":"Cable","given":"Jaye","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047298,"text":"ofr20131159 - 2013 - Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates","interactions":[],"lastModifiedDate":"2013-07-30T15:47:19","indexId":"ofr20131159","displayToPublicDate":"2013-07-30T15:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1159","title":"Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates","docAbstract":"The potential effect of global climate change on calcifying marine organisms, such as scleractinian (reef-building) corals, is becoming increasingly evident. Understanding the process of coral calcification and establishing baseline calcification rates are necessary to detect future changes in growth resulting from climate change or other stressors. Here we describe the methods used to establish a network of calcification-monitoring stations along the outer Florida Keys Reef Tract in 2009. In addition to detailing the initial setup and periodic monitoring of calcification stations, we discuss the utility and success of our design and offer suggestions for future deployments. Stations were designed such that whole coral colonies were securely attached to fixed apparati (n = 10 at each site) on the seafloor but also could be easily removed and reattached as needed for periodic weighing. Corals were weighed every 6 months, using the buoyant weight technique, to determine calcification rates in situ. Sites were visited in May and November to obtain winter and summer rates, respectively, and identify seasonal patterns in calcification. Calcification rates of the crustose coralline algal community also were measured by affixing commercially available plastic tiles, deployed vertically, at each station. Colonization by invertebrates and fleshy algae on the tiles was low, indicating relative specificity for the crustose coralline algal community. We also describe a new, nonlethal technique for sampling the corals, used following the completion of the monitoring period, in which two slabs were obtained from the center of each colony. Sampled corals were reattached to the seafloor, and most corals had completely recovered within 6 months. The station design and sampling methods described herein provide an effective approach to assessing coral and crustose coralline algal calcification rates across time and space, offering the ability to quantify the potential effects of ocean warming and acidification on calcification processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131159","usgsCitation":"Morrison, J.M., Kuffner, I.B., and Hickey, T.D., 2013, Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates: U.S. Geological Survey Open-File Report 2013-1159, v, 11 p., https://doi.org/10.3133/ofr20131159.","productDescription":"v, 11 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438784,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94BOI9T","text":"USGS data release","linkHelpText":"Experimental Coral-Growth Data and Time-Series Imagery for Acropora palmata and Pseudodiploria strigosa in St. Croix, U.S. Virgin Islands"},{"id":275594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131159.gif"},{"id":275593,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1159/ofr13_1159_web.pdf"},{"id":275592,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1159/"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys Reef Tract","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.2819,24.0966 ], [ -83.2819,27.2752 ], [ -79.4724,27.2752 ], [ -79.4724,24.0966 ], [ -83.2819,24.0966 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d258e4b0cecbe8fa9818","contributors":{"authors":[{"text":"Morrison, Jennifer M. 0000-0003-4460-7843 jmmorrison@usgs.gov","orcid":"https://orcid.org/0000-0003-4460-7843","contributorId":4903,"corporation":false,"usgs":true,"family":"Morrison","given":"Jennifer","email":"jmmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickey, T. Don","contributorId":49066,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Don","affiliations":[],"preferred":false,"id":481659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046566,"text":"70046566 - 2013 - Species- and community-level responses combine to drive phenology of lake phytoplankton","interactions":[],"lastModifiedDate":"2013-10-23T14:16:14","indexId":"70046566","displayToPublicDate":"2013-07-30T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species- and community-level responses combine to drive phenology of lake phytoplankton","docAbstract":"Global change is leading to shifts in the seasonal timing of growth and maturation for primary producers. Remote sensing is increasingly used to measure the timing of primary production in both aquatic and terrestrial ecosystems, but there is often a poor correlation between these results and direct observations of life-history responses of individual species. One explanation may be that in addition to phenological shifts, global change is also causing shifts in community composition among species with different seasonal timing of growth and maturation. We quantified how shifts in species phenology and in community composition translated into phenological change in a diverse phytoplankton community from 1962-2000. During this time the aggregate community spring-summer phytoplankton peak has shifted 63 days earlier. The mean taxon shift was only 3 days earlier and shifts in taxa phenology explained only 40% of the observed community phenological shift. The remaining community shift was attributed to dominant early season taxa increasing in abundance while a dominant late season taxon decreased in abundance. In diverse producer communities experiencing multiple stressors, changes in species composition must be considered to fully understand and predict shifts in the seasonal timing of primary production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0445.1","usgsCitation":"Walters, A., Sagrario, M.D., and Schindler, D.E., 2013, Species- and community-level responses combine to drive phenology of lake phytoplankton: Ecology, v. 94, no. 10, p. 2188-2194, https://doi.org/10.1890/13-0445.1.","productDescription":"7 p.","startPage":"2188","endPage":"2194","numberOfPages":"7","ipdsId":"IP-043973","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0445.1","text":"Publisher Index Page"},{"id":275579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275578,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0445.1"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Washington","volume":"94","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa9838","contributors":{"authors":[{"text":"Walters, Annika","contributorId":56133,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","affiliations":[],"preferred":false,"id":479808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sagrario, Maria de los Angeles Gonzalez","contributorId":62107,"corporation":false,"usgs":true,"family":"Sagrario","given":"Maria","email":"","middleInitial":"de los Angeles Gonzalez","affiliations":[],"preferred":false,"id":479809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479810,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041493,"text":"70041493 - 2013 - Predicting the planform configuration of the braided Toklat River, AK with a suite of rule-based models","interactions":[],"lastModifiedDate":"2013-07-30T12:54:44","indexId":"70041493","displayToPublicDate":"2013-07-30T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the planform configuration of the braided Toklat River, AK with a suite of rule-based models","docAbstract":"An ensemble of rule-based models was constructed to assess possible future braided river planform configurations for the Toklat River in Denali National Park and Preserve, Alaska. This approach combined an analysis of large-scale influences on stability with several reduced-complexity models to produce the predictions at a practical level for managers concerned about the persistence of bank erosion while acknowledging the great uncertainty in any landscape prediction. First, a model of confluence angles reproduced observed angles of a major confluence, but showed limited susceptibility to a major rearrangement of the channel planform downstream. Second, a probabilistic map of channel locations was created with a two-parameter channel avulsion model. The predicted channel belt location was concentrated in the same area as the current channel belt. Finally, a suite of valley-scale channel and braid plain characteristics were extracted from a light detection and ranging (LiDAR)-derived surface. The characteristics demonstrated large-scale stabilizing topographic influences on channel planform. The combination of independent analyses increased confidence in the conclusion that the Toklat River braided planform is a dynamically stable system due to large and persistent valley-scale influences, and that a range of avulsive perturbations are likely to result in a relatively unchanged planform configuration in the short term.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12029","usgsCitation":"Podolak, C.J., 2013, Predicting the planform configuration of the braided Toklat River, AK with a suite of rule-based models: Journal of the American Water Resources Association, v. 49, no. 2, p. 390-401, https://doi.org/10.1111/jawr.12029.","productDescription":"12 p.","startPage":"390","endPage":"401","numberOfPages":"12","ipdsId":"IP-036147","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":275583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275581,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111 ⁄ jawr.12029"}],"country":"United States","state":"Alaska","otherGeospatial":"Toklat River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.3167,63.4145 ], [ -150.3167,64.4558 ], [ -149.8318,64.4558 ], [ -149.8318,63.4145 ], [ -150.3167,63.4145 ] ] ] } } ] }","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-28","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa9834","contributors":{"authors":[{"text":"Podolak, Charles J.","contributorId":52849,"corporation":false,"usgs":true,"family":"Podolak","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046961,"text":"70046961 - 2013 - Distribution and exploitation of Nile perch Lates niloticus in relation to stratification in Lake Victoria, East Africa","interactions":[],"lastModifiedDate":"2013-09-09T11:06:39","indexId":"70046961","displayToPublicDate":"2013-07-30T11:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and exploitation of Nile perch Lates niloticus in relation to stratification in Lake Victoria, East Africa","docAbstract":"Stratification restricts habitable areas forcing fish to balance between favourable temperature and minimum dissolved oxygen requirements. Acoustic surveys conducted during the stratified and isothermal periods on tropical Lake Victoria indicated that stratification of temperature and dissolved oxygen (DO) affected vertical distribution of Nile perch. There was higher mean temperature (25.6 ± 0.5 °C) and lower DO (6.4 ± 1.8 mg/l) during stratified period compared to the isothermal period (mean temperature 24.9 ± 0.3 °C; mean DO 7.3 ± 0.6 mg/l). Higher mean densities of Nile perch were recorded in the coastal (0.44 ± 0.03) and deep (0.27 ± 0.02 g/m<sup>3</sup>) strata during the stratified compared to the isothermal season (coastal: 0.24 ± 0.01; deep: 0.12 ± 0.02 g/m<sup>3</sup>). In addition, Nile perch density in the upper 0–40 m depth layers in the coastal and deep strata increased by over 50% from the isothermal to the stratified season. Daily landings from 65 motorised fishing boats between October 2008 and September 2010 show higher mean catch (26.29 ± 0.17 kg/boat/day) during stratified compared to the isothermal (23.59 ± 0.15) season. Thermal stratification apparently compresses the habitat available to Nile perch and can potentially result in higher exploitation. Managers should evaluate the potential benefits of instituting closed seasons during the stratified period, and stock assessment models should take into account the seasonal niche compression.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.06.009","usgsCitation":"Taabu-Munyaho, A., Kayanda, R.J., Everson, I., Grabowski, T.B., and Marteinsdottir, G., 2013, Distribution and exploitation of Nile perch Lates niloticus in relation to stratification in Lake Victoria, East Africa: Journal of Great Lakes Research, v. 39, no. 3, p. 466-475, https://doi.org/10.1016/j.jglr.2013.06.009.","productDescription":"10 p.","startPage":"466","endPage":"475","ipdsId":"IP-035283","costCenters":[{"id":582,"text":"Texas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":275577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275575,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.06.009"}],"otherGeospatial":"Lake Victoria","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 31.5952,-3.1876 ], [ 31.5952,0.4906 ], [ 34.868,0.4906 ], [ 34.868,-3.1876 ], [ 31.5952,-3.1876 ] ] ] } } ] }","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa980c","contributors":{"authors":[{"text":"Taabu-Munyaho, A.","contributorId":39272,"corporation":false,"usgs":true,"family":"Taabu-Munyaho","given":"A.","email":"","affiliations":[],"preferred":false,"id":480715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayanda, Robert J.","contributorId":76623,"corporation":false,"usgs":true,"family":"Kayanda","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Everson, Inigo","contributorId":57346,"corporation":false,"usgs":true,"family":"Everson","given":"Inigo","email":"","affiliations":[],"preferred":false,"id":480716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":480713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marteinsdottir, Gudrun","contributorId":11099,"corporation":false,"usgs":false,"family":"Marteinsdottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":480714,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042300,"text":"70042300 - 2013 - Environmental and physical controls on northern terrestrial methane emissions across permafrost zones","interactions":[],"lastModifiedDate":"2013-07-30T11:52:11","indexId":"70042300","displayToPublicDate":"2013-07-30T11:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and physical controls on northern terrestrial methane emissions across permafrost zones","docAbstract":"Methane (CH<sub>4</sub>) emissions from the northern high-latitude region represent potentially significant biogeochemical feedbacks to the climate system. We compiled a database of growing-season CH<sub>4</sub> emissions from terrestrial ecosystems located across permafrost zones, including 303 sites described in 65 studies. Data on environmental and physical variables, including permafrost conditions, were used to assess controls on CH<sub>4</sub> emissions. Water table position, soil temperature, and vegetation composition strongly influenced emissions and had interacting effects. Sites with a dense sedge cover had higher emissions than other sites at comparable water table positions, and this was an effect that was more pronounced at low soil temperatures. Sensitivity analysis suggested that CH<sub>4</sub> emissions from ecosystems where the water table on average is at or above the soil surface (wet tundra, fen underlain by permafrost, and littoral ecosystems) are more sensitive to variability in soil temperature than drier ecosystems (palsa dry tundra, bog, and fen), whereas the latter ecosystems conversely are relatively more sensitive to changes of the water table position. Sites with near-surface permafrost had lower CH<sub>4</sub> fluxes than sites without permafrost at comparable water table positions, a difference that was explained by lower soil temperatures. Neither the active layer depth nor the organic soil layer depth was related to CH<sub>4</sub> emissions. Permafrost thaw in lowland regions is often associated with increased soil moisture, higher soil temperatures, and increased sedge cover. In our database, lowland thermokarst sites generally had higher emissions than adjacent sites with intact permafrost, but emissions from thermokarst sites were not statistically higher than emissions from permafrost-free sites with comparable environmental conditions. Overall, these results suggest that future changes to terrestrial high-latitude CH<sub>4</sub> emissions will be more proximately related to changes in moisture, soil temperature, and vegetation composition than to increased availability of organic matter following permafrost thaw.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gcb.12071","usgsCitation":"Olefeldt, D., Turetsky, M.R., Crill, P.M., and McGuire, A., 2013, Environmental and physical controls on northern terrestrial methane emissions across permafrost zones: Global Change Biology, v. 19, no. 2, p. 589-603, https://doi.org/10.1111/gcb.12071.","productDescription":"15 p.","startPage":"589","endPage":"603","ipdsId":"IP-042133","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":275574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275572,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12071"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa9810","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":37622,"corporation":false,"usgs":true,"family":"Olefeldt","given":"David","email":"","affiliations":[],"preferred":false,"id":471226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crill, Patrick M.","contributorId":96567,"corporation":false,"usgs":true,"family":"Crill","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":471225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007167,"text":"70007167 - 2013 - Pre- and post-impoundment nitrogen in the lower Missouri River","interactions":[],"lastModifiedDate":"2014-01-13T10:23:22","indexId":"70007167","displayToPublicDate":"2013-07-30T11:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Pre- and post-impoundment nitrogen in the lower Missouri River","docAbstract":"Large water-sample sets collected from 1899 through 1902, 1907, and in the early 1950s allow comparisons of pre-impoundment and post-impoundment (1969 through 2008) nitrogen concentrations in the lower Missouri River. Although urban wastes were not large enough to detectably increase annual loads of total nitrogen at the beginning of the 20th century, carcass waste, stock-yard manure, and untreated human wastes measurably increased ammonia and organic-nitrogen concentrations during low flows. Average total-nitrogen concentrations in both periods were about 2.5 mg/l, but much of the particulate-organic nitrogen, which was the dominant form of nitrogen around 1900, has been replaced by nitrate. This change in speciation was caused by the nearly 80% decrease in suspended-sediment concentrations that occurred after impoundment, modern agriculture, drainage of riparian wetlands, and sewage treatment. Nevertheless, bioavailable nitrogen has not been low enough to limit primary production in the Missouri River since the beginning of the 20th century. Nitrate concentrations have increased more rapidly from 2000 through 2008 (5 to 12% per year), thus increasing bioavailable nitrogen delivered to the Mississippi River and affecting Gulf Coast hypoxia. The increase in nitrate concentrations with distance downstream is much greater during the post-impoundment period. If strategies to decrease total-nitrogen loads focus on particulate N, substantial decreases will be difficult because particulate nitrogen is now only 23% of total nitrogen in the Missouri River. A strategy aimed at decreasing particulates also could further exacerbate land loss along the Gulf of Mexico, which has been sediment starved since Missouri River impoundment. In contrast, strategies or benchmarks aimed at decreasing nitrate loads could substantially decrease nitrogen loadings because nitrates now constitute over half of the Missouri's nitrogen input to the Mississippi. Ongoing restoration and creation of wetlands along the Missouri River could be part of such a nitrate-reduction strategy. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.9797","usgsCitation":"Blevins, D.W., Wilkison, D.H., and Niesen, S.L., 2013, Pre- and post-impoundment nitrogen in the lower Missouri River: Hydrological Processes, v. 28, no. 4, p. 2535-2549, https://doi.org/10.1002/hyp.9797.","productDescription":"15 p.","startPage":"2535","endPage":"2549","numberOfPages":"15","ipdsId":"IP-026501","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":275576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9797"}],"scale":"100000","projection":"Universal Transverse Mercator projection, zone 15","country":"United States","state":"Illinois;Iowa;Kansas;Missouri;Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.5693,38.1518 ], [ -98.5693,43.0609 ], [ -89.9561,43.0609 ], [ -89.9561,38.1518 ], [ -98.5693,38.1518 ] ] ] } } ] }","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-18","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa9830","contributors":{"authors":[{"text":"Blevins, Dale W. dblevins@usgs.gov","contributorId":2729,"corporation":false,"usgs":true,"family":"Blevins","given":"Dale","email":"dblevins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":356006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niesen, Shelley L. ssevern@usgs.gov","contributorId":4583,"corporation":false,"usgs":true,"family":"Niesen","given":"Shelley","email":"ssevern@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356008,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039857,"text":"70039857 - 2013 - Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort","interactions":[],"lastModifiedDate":"2013-07-30T11:39:55","indexId":"70039857","displayToPublicDate":"2013-07-30T11:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort","docAbstract":"Standardized protocols for surveying secretive marsh birds have been implemented across North America, but the efficacy of surveys to detect population trends has not been evaluated. We used survey data collected from populations of marsh birds across North America and simulations to explore how characteristics of bird populations (proportion of survey stations occupied, abundance at occupied stations, and detection probability) and aspects of sampling effort (numbers of survey routes, stations/route, and surveys/station/year) affect statistical power to detect trends in abundance of marsh bird populations. In general, the proportion of survey stations along a route occupied by a species had a greater relative effect on power to detect trends than did the number of birds detected per survey at occupied stations. Uncertainty introduced by imperfect detection during surveys reduced power to detect trends considerably, but across the range of detection probabilities for most species of marsh birds, variation in detection probability had only a minor influence on power. For species that occupy a relatively high proportion of survey stations (0.20), have relatively high abundances at occupied stations (2.0 birds/station), and have high detection probability (0.50), ≥40 routes with 10 survey stations per route surveyed 3 times per year would provide an 80% chance of detecting a 3% annual decrease in abundance after 20 years of surveys. Under the same assumptions but for species that are less common, ≥100 routes would be needed to achieve the same power. Our results can help inform the design of programs to monitor trends in abundance of marsh bird populations, especially with regards to the amount of sampling effort necessary to meet programmatic goals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.505","usgsCitation":"Steidl, R.J., Conway, C.J., and Litt, A., 2013, Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort: Journal of Wildlife Management, v. 77, no. 3, p. 445-453, https://doi.org/10.1002/jwmg.505.","productDescription":"9 p.","startPage":"445","endPage":"453","numberOfPages":"9","ipdsId":"IP-038132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275570,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.505"}],"volume":"77","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-24","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa982c","contributors":{"authors":[{"text":"Steidl, Robert J.","contributorId":21849,"corporation":false,"usgs":true,"family":"Steidl","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":467075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":467077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040468,"text":"70040468 - 2013 - Permafrost thaw in a nested groundwater-flow system","interactions":[],"lastModifiedDate":"2013-07-30T11:20:46","indexId":"70040468","displayToPublicDate":"2013-07-30T11:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost thaw in a nested groundwater-flow system","docAbstract":"Groundwater flow in cold regions containing permafrost accelerates climate-warming-driven thaw and changes thaw patterns. Simulation analyses of groundwater flow and heat transport with freeze/thaw in typical cold-regions terrain with nested flow indicate that early thaw rate is particularly enhanced by flow, the time when adverse environmental impacts of climate-warming-induced permafrost loss may be severest. For the slowest climate-warming rate predicted by the Intergovernmental Panel on Climate Change (IPCC), once significant groundwater flow begins, thick permafrost layers can vanish in several hundred years, but survive over 1,000 years where flow is minimal. Large-scale thaw depends mostly on the balance of heat advection and conduction in the supra-permafrost zone. Surface-water bodies underlain by open taliks allow slow sub-permafrost flow, with lesser influence on regional thaw. Advection dominance over conduction depends on permeability and topography. Groundwater flow around permafrost and flow through permafrost impact thaw differently; the latter enhances early thaw rate. Air-temperature seasonality also increases early thaw. Hydrogeologic heterogeneity and topography strongly affect thaw rates/patterns. Permafrost controls the groundwater/surface-water-geomorphology system; hence, prediction and mitigation of impacts of thaw on ecology, chemical exports and infrastructure require improved hydrogeology/permafrost characterization and understanding","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-012-0942-3","usgsCitation":"McKenzie, J.M., and Voss, C.I., 2013, Permafrost thaw in a nested groundwater-flow system: Hydrogeology Journal, v. 21, no. 1, p. 299-316, https://doi.org/10.1007/s10040-012-0942-3.","productDescription":"18 p.","startPage":"299","endPage":"316","numberOfPages":"18","ipdsId":"IP-041833","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":275569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275568,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-012-0942-3"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"51f8d259e4b0cecbe8fa9828","contributors":{"authors":[{"text":"McKenzie, Jeffery M.","contributorId":85068,"corporation":false,"usgs":true,"family":"McKenzie","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":468388,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043406,"text":"70043406 - 2013 - A twenty-first century California observing network for monitoring extreme weather events","interactions":[],"lastModifiedDate":"2013-09-09T10:56:23","indexId":"70043406","displayToPublicDate":"2013-07-30T10:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2186,"text":"Journal of Atmospheric and Oceanic Technology","active":true,"publicationSubtype":{"id":10}},"title":"A twenty-first century California observing network for monitoring extreme weather events","docAbstract":"During Northern Hemisphere winters, the West Coast of North America is battered by extratropical storms. The impact of these storms is of paramount concern to California, where aging water supply and flood protection infrastructures are challenged by increased standards for urban flood protection, an unusually variable weather regime, and projections of climate change. Additionally, there are inherent conflicts between releasing water to provide flood protection and storing water to meet requirements for water supply, water quality, hydropower generation, water temperature and flow for at-risk species, and recreation. In order to improve reservoir management and meet the increasing demands on water, improved forecasts of precipitation, especially during extreme events, is required. Here we describe how California is addressing their most important and costliest environmental issue – water management – in part, by installing a state-of-the-art observing system to better track the area’s most severe wintertime storms.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Atmospheric and Oceanic Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/JTECH-D-12-00217.1","usgsCitation":"White, A., Anderson, M., Dettinger, M.D., Ralph, F., Hinojosa, A., Cayan, D., Hartman, R., Reynolds, D., Johnson, L., Schneider, T., Cifelli, R., Toth, Z., Gutman, S., King, C., Gehrke, F., Johnston, P., Walls, C., Mann, D., Gottas, D., and Coleman, T., 2013, A twenty-first century California observing network for monitoring extreme weather events: Journal of Atmospheric and Oceanic Technology, v. 30, no. 8, p. 1585-1603, https://doi.org/10.1175/JTECH-D-12-00217.1.","productDescription":"19 p.","startPage":"1585","endPage":"1603","ipdsId":"IP-043985","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jtech-d-12-00217.1","text":"Publisher Index Page"},{"id":275566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277424,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/JTECH-D-12-00217.1"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"30","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"51f8d24fe4b0cecbe8fa9804","contributors":{"authors":[{"text":"White, A.B.","contributorId":45878,"corporation":false,"usgs":true,"family":"White","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":473525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, M.L.","contributorId":93138,"corporation":false,"usgs":true,"family":"Anderson","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":473533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":473532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":473523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinojosa, A.","contributorId":33205,"corporation":false,"usgs":true,"family":"Hinojosa","given":"A.","email":"","affiliations":[],"preferred":false,"id":473521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":473520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hartman, R.K.","contributorId":51626,"corporation":false,"usgs":true,"family":"Hartman","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":473526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reynolds, D.W.","contributorId":33206,"corporation":false,"usgs":true,"family":"Reynolds","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":473522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, L.E.","contributorId":71858,"corporation":false,"usgs":true,"family":"Johnson","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":473529,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, T.L.","contributorId":52866,"corporation":false,"usgs":true,"family":"Schneider","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":473527,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cifelli, R.","contributorId":98875,"corporation":false,"usgs":true,"family":"Cifelli","given":"R.","email":"","affiliations":[],"preferred":false,"id":473535,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Toth, Z.","contributorId":87437,"corporation":false,"usgs":true,"family":"Toth","given":"Z.","email":"","affiliations":[],"preferred":false,"id":473531,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gutman, S.I.","contributorId":25748,"corporation":false,"usgs":true,"family":"Gutman","given":"S.I.","email":"","affiliations":[],"preferred":false,"id":473519,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"King, C.W.","contributorId":81394,"corporation":false,"usgs":true,"family":"King","given":"C.W.","email":"","affiliations":[],"preferred":false,"id":473530,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gehrke, F.","contributorId":21327,"corporation":false,"usgs":true,"family":"Gehrke","given":"F.","email":"","affiliations":[],"preferred":false,"id":473518,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Johnston, P.E.","contributorId":18654,"corporation":false,"usgs":true,"family":"Johnston","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":473516,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Walls, C.","contributorId":19455,"corporation":false,"usgs":true,"family":"Walls","given":"C.","email":"","affiliations":[],"preferred":false,"id":473517,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mann, Dorte","contributorId":66876,"corporation":false,"usgs":true,"family":"Mann","given":"Dorte","affiliations":[],"preferred":false,"id":473528,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Gottas, D.J.","contributorId":42120,"corporation":false,"usgs":true,"family":"Gottas","given":"D.J.","affiliations":[],"preferred":false,"id":473524,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Coleman, T.","contributorId":96570,"corporation":false,"usgs":true,"family":"Coleman","given":"T.","email":"","affiliations":[],"preferred":false,"id":473534,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70040793,"text":"70040793 - 2013 - On the conversion of tritium units to mass fractions for hydrologic applications","interactions":[],"lastModifiedDate":"2018-01-24T14:19:42","indexId":"70040793","displayToPublicDate":"2013-07-30T10:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2114,"text":"Isotopes in Environmental and Health Studies","active":true,"publicationSubtype":{"id":10}},"title":"On the conversion of tritium units to mass fractions for hydrologic applications","docAbstract":"We develop a general equation for converting laboratory-reported tritium levels, expressed either as concentrations (tritium isotope number fractions) or mass-based specific activities, to mass fractions in aqueous systems. Assuming that all tritium is in the form of monotritiated water simplifies the derivation and is shown to be reasonable for most environmental settings encountered in practice. The general equation is nonlinear. For tritium concentrations c less than 4.5×10<sup>12</sup> tritium units (TU) - i.e. specific tritium activities<5.3×10<sup>11</sup> Bq kg<sup>-1</sup> - the mass fraction w of tritiated water is approximated to within 1 part per million by w ≈ c×2.22293×10<sup>-18</sup>, i.e. the conversion is linear for all practical purposes. Terrestrial abundances serve as a proxy for non-tritium isotopes in the absence of sample-specific data. Variation in the relative abundances of non-tritium isotopes in the terrestrial hydrosphere produces a minimum range for the mantissa of the conversion factor of [2.22287; 2.22300].","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10256016.2013.766610","usgsCitation":"Stonestrom, D.A., Andraski, B.J., Cooper, C.A., Mayers, C.J., and Michel, R.L., 2013, On the conversion of tritium units to mass fractions for hydrologic applications: Isotopes in Environmental and Health Studies, v. 49, no. 2, p. 250-256, https://doi.org/10.1080/10256016.2013.766610.","productDescription":"7 p.","startPage":"250","endPage":"256","ipdsId":"IP-042205","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3664909","text":"Publisher Index Page"},{"id":275565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d259e4b0cecbe8fa9824","contributors":{"authors":[{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":469030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":false,"id":469031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Clay A.","contributorId":107170,"corporation":false,"usgs":true,"family":"Cooper","given":"Clay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayers, Charles J.","contributorId":108185,"corporation":false,"usgs":true,"family":"Mayers","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michel, Robert L. rlmichel@usgs.gov","contributorId":823,"corporation":false,"usgs":true,"family":"Michel","given":"Robert","email":"rlmichel@usgs.gov","middleInitial":"L.","affiliations":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"preferred":true,"id":469029,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040458,"text":"70040458 - 2013 - Observed impacts of duration and seasonality of atmospheric-river landfalls on soil moisture and runoff in coastal northern California","interactions":[],"lastModifiedDate":"2013-07-30T10:23:00","indexId":"70040458","displayToPublicDate":"2013-07-30T09:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Observed impacts of duration and seasonality of atmospheric-river landfalls on soil moisture and runoff in coastal northern California","docAbstract":"This study is motivated by diverse needs for better forecasts of extreme precipitation and floods. It is enabled by unique hourly observations collected over six years near California’s Russian River and by recent advances in the science of atmospheric rivers (ARs). This study fills key gaps limiting the prediction of ARs and, especially, their impacts by quantifying the duration of AR conditions and the role of duration in modulating hydrometeorological impacts. Precursor soil moisture conditions and their relationship to streamflow are also shown. On the basis of 91 well-observed events during 2004-10, the study shows that the passage of ARs over a coastal site lasted 20 h on average and that 12% of the AR events exceeded 30 h. Differences in storm-total water vapor transport directed up the mountain slope contribute 74% of the variance in storm-total rainfall across the events and 61% of the variance in storm-total runoff volume. ARs with double the composite mean duration produced nearly 6 times greater peak streamflow and more than 7 times the storm-total runoff volume. When precursor soil moisture was less than 20%, even heavy rainfall did not lead to significant streamflow. Predicting which AR events are likely to produce extreme impacts on precipitation and runoff requires accurate prediction of AR duration at landfall and observations of precursor soil moisture conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-12-076.1","usgsCitation":"Ralph, F., Coleman, T., Neiman, P., Zamora, R., and Dettinger, M., 2013, Observed impacts of duration and seasonality of atmospheric-river landfalls on soil moisture and runoff in coastal northern California: Journal of Hydrometeorology, v. 14, no. 2, p. 443-459, https://doi.org/10.1175/JHM-D-12-076.1.","productDescription":"17 p.","startPage":"443","endPage":"459","numberOfPages":"17","ipdsId":"IP-041555","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473639,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-12-076.1","text":"Publisher Index Page"},{"id":275560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275559,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/JHM-D-12-076.1"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.9038,38.2468 ], [ -123.9038,39.0981 ], [ -122.8738,39.0981 ], [ -122.8738,38.2468 ], [ -123.9038,38.2468 ] ] ] } } ] }","volume":"14","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d258e4b0cecbe8fa9820","contributors":{"authors":[{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":468374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, T.","contributorId":96570,"corporation":false,"usgs":true,"family":"Coleman","given":"T.","email":"","affiliations":[],"preferred":false,"id":468376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":468373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zamora, R.J.","contributorId":87840,"corporation":false,"usgs":true,"family":"Zamora","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":468375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":468372,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003664,"text":"70003664 - 2013 - Estimating occupancy and predicting numbers of gray wolf packs in Montana using hunter surveys","interactions":[],"lastModifiedDate":"2018-01-04T15:24:39","indexId":"70003664","displayToPublicDate":"2013-07-30T09:23:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy and predicting numbers of gray wolf packs in Montana using hunter surveys","docAbstract":"<p>Reliable knowledge of the status and trend of carnivore populations is critical to their conservation and management. Methods for monitoring carnivores, however, are challenging to conduct across large spatial scales. In the Northern Rocky Mountains, wildlife managers need a time- and cost-efficient method for monitoring gray wolf (Canis lupus) populations. Montana Fish, Wildlife and Parks (MFWP) conducts annual telephone surveys of &gt;50,000 deer and elk hunters. We explored how survey data on hunters' sightings of wolves could be used to estimate the occupancy and distribution of wolf packs and predict their abundance in Montana for 2007&ndash;2009. We assessed model utility by comparing our predictions to MFWP minimum known number of wolf packs. We minimized false positive detections by identifying a patch as occupied if 2&ndash;25 wolves were detected by &ge;3 hunters. Overall, estimates of the occupancy and distribution of wolf packs were generally consistent with known distributions. Our predictions of the total area occupied increased from 2007 to 2009 and predicted numbers of wolf packs were approximately 1.34&ndash;1.46 times the MFWP minimum counts for each year of the survey. Our results indicate that multi-season occupancy models based on public sightings can be used to monitor populations and changes in the spatial distribution of territorial carnivores across large areas where alternative methods may be limited by personnel, time, accessibility, and budget constraints.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.562","usgsCitation":"Rich, L.N., Russell, R.E., Glenn, E., Mitchell, M.S., Gude, J., Podruzny, K.M., Sime, C.A., Laudon, K., Ausband, D., and Nichols, J., 2013, Estimating occupancy and predicting numbers of gray wolf packs in Montana using hunter surveys: Journal of Wildlife Management, v. 77, no. 6, p. 1280-1289, https://doi.org/10.1002/jwmg.562.","productDescription":"10 p.","startPage":"1280","endPage":"1289","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028210","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":275554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,44.36 ], [ -116.05,49.0 ], [ -104.04,49.0 ], [ -104.04,44.36 ], [ -116.05,44.36 ] ] ] } } ] }","volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-26","publicationStatus":"PW","scienceBaseUri":"51f8d257e4b0cecbe8fa9814","contributors":{"authors":[{"text":"Rich, Lindsey N.","contributorId":42119,"corporation":false,"usgs":true,"family":"Rich","given":"Lindsey","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":348233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":348231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Elizabeth M.","contributorId":96568,"corporation":false,"usgs":true,"family":"Glenn","given":"Elizabeth M.","affiliations":[],"preferred":false,"id":348238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":348230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":348237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Podruzny, Kevin M.","contributorId":85865,"corporation":false,"usgs":true,"family":"Podruzny","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sime, Carolyn A.","contributorId":76627,"corporation":false,"usgs":true,"family":"Sime","given":"Carolyn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laudon, Kent","contributorId":16298,"corporation":false,"usgs":true,"family":"Laudon","given":"Kent","email":"","affiliations":[],"preferred":false,"id":348232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ausband, David E.","contributorId":51441,"corporation":false,"usgs":true,"family":"Ausband","given":"David E.","affiliations":[],"preferred":false,"id":348234,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":348229,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70042037,"text":"70042037 - 2013 - Water supply, demand, and quality indicators for assessing the spatial distribution of water resource vulnerability in the Columbia River Basin","interactions":[],"lastModifiedDate":"2013-08-26T10:21:55","indexId":"70042037","displayToPublicDate":"2013-07-30T09:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":921,"text":"Atmosphere - Ocean","active":true,"publicationSubtype":{"id":10}},"title":"Water supply, demand, and quality indicators for assessing the spatial distribution of water resource vulnerability in the Columbia River Basin","docAbstract":"We investigated water resource vulnerability in the US portion of the Columbia River basin (CRB) using multiple indicators representing water supply, water demand, and water quality. Based on the US county scale, spatial analysis was conducted using various biophysical and socio-economic indicators that control water vulnerability. Water supply vulnerability and water demand vulnerability exhibited a similar spatial clustering of hotspots in areas where agricultural lands and variability of precipitation were high but dam storage capacity was low. The hotspots of water quality vulnerability were clustered around the main stem of the Columbia River where major population and agricultural centres are located. This multiple equal weight indicator approach confirmed that different drivers were associated with different vulnerability maps in the sub-basins of the CRB. Water quality variables are more important than water supply and water demand variables in the Willamette River basin, whereas water supply and demand variables are more important than water quality variables in the Upper Snake and Upper Columbia River basins. This result suggests that current water resources management and practices drive much of the vulnerability within the study area. The analysis suggests the need for increased coordination of water management across multiple levels of water governance to reduce water resource vulnerability in the CRB and a potentially different weighting scheme that explicitly takes into account the input of various water stakeholders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmosphere - Ocean","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/07055900.2013.777896","usgsCitation":"Chang, H., Jung, I., Strecker, A.L., Wise, D., Lafrenz, M., Shandas, V., Moradkhani, Yeakley, A., Pan, Y., Johnson, G., and Psaris, M., 2013, Water supply, demand, and quality indicators for assessing the spatial distribution of water resource vulnerability in the Columbia River Basin: Atmosphere - Ocean, v. 51, no. 4, p. 339-356, https://doi.org/10.1080/07055900.2013.777896.","productDescription":"18 p.","startPage":"339","endPage":"356","ipdsId":"IP-035349","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":473640,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/18937","text":"External Repository"},{"id":275553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275550,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/07055900.2013.777896"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.00,42.07 ], [ -123.00,51.75 ], [ -110.06,51.75 ], [ -110.06,42.07 ], [ -123.00,42.07 ] ] ] } } ] }","volume":"51","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d25be4b0cecbe8fa9840","contributors":{"authors":[{"text":"Chang, Heejun","contributorId":14705,"corporation":false,"usgs":true,"family":"Chang","given":"Heejun","email":"","affiliations":[],"preferred":false,"id":470650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jung, Il-Won","contributorId":38865,"corporation":false,"usgs":true,"family":"Jung","given":"Il-Won","email":"","affiliations":[],"preferred":false,"id":470651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strecker, Angela L.","contributorId":43256,"corporation":false,"usgs":true,"family":"Strecker","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wise, Daniel dawise@usgs.gov","contributorId":844,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafrenz, Martin","contributorId":99024,"corporation":false,"usgs":true,"family":"Lafrenz","given":"Martin","email":"","affiliations":[],"preferred":false,"id":470657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shandas, Vivek","contributorId":99862,"corporation":false,"usgs":true,"family":"Shandas","given":"Vivek","email":"","affiliations":[],"preferred":false,"id":470658,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moradkhani","contributorId":128136,"corporation":true,"usgs":false,"organization":"Moradkhani","id":535396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yeakley, Alan","contributorId":96569,"corporation":false,"usgs":true,"family":"Yeakley","given":"Alan","email":"","affiliations":[],"preferred":false,"id":470656,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pan, Yangdong","contributorId":52865,"corporation":false,"usgs":true,"family":"Pan","given":"Yangdong","email":"","affiliations":[],"preferred":false,"id":470653,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Gunnar","contributorId":105618,"corporation":false,"usgs":true,"family":"Johnson","given":"Gunnar","affiliations":[],"preferred":false,"id":470659,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Psaris, Mike","contributorId":69867,"corporation":false,"usgs":true,"family":"Psaris","given":"Mike","email":"","affiliations":[],"preferred":false,"id":470655,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70047285,"text":"gq1767 - 2013 - Geologic map of the Valley Mountain 15’ quadrangle, San Bernardino and Riverside Counties, California","interactions":[],"lastModifiedDate":"2022-04-15T21:30:34.768076","indexId":"gq1767","displayToPublicDate":"2013-07-29T20:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":316,"text":"Geologic Quadrangle","code":"GQ","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1767","title":"Geologic map of the Valley Mountain 15’ quadrangle, San Bernardino and Riverside Counties, California","docAbstract":"The Valley Mountain 15’ quadrangle straddles the Pinto Mountain Fault, which bounds the eastern Transverse Ranges in the south against the Mojave Desert province in the north. The Pinto Mountains, part of the eastern Transverse Ranges in the south part of the quadrangle expose a series of Paleoproterozoic gneisses and granite and the Proterozoic quartzite of Pinto Mountain. Early Triassic quartz monzonite intruded the gneisses and was ductiley deformed prior to voluminous Jurassic intrusion of diorite, granodiorite, quartz monzonite, and granite plutons. The Jurassic rocks include part of the Bullion Mountains Intrusive Suite, which crops out prominently at Valley Mountain and in the Bullion Mountains, as well as in the Pinto Mountains. Jurassic plutons in the southwest part of the quadrangle are deeply denuded from midcrustal emplacement levels in contrast to supracrustal Jurassic limestone and volcanic rocks exposed in the northeast. Dikes inferred to be part of the Jurassic Independence Dike Swarm intrude the Jurassic plutons and Proterozoic rocks. Late Cretaceous intrusion of the Cadiz Valley Batholith in the northeast caused contact metamorphism of adjacent Jurassic plutonic rocks.\n\nThe Tertiary period saw emplacement of basanitoid basalt at about 23 Ma and deposition of Miocene and (or) Pliocene ridge-capping gravels. An undated east-dipping low-angle normal fault zone in the Pinto Mountains drops hanging-wall rocks eastward and may account for part of the contrast in uplift history across the quadrangle. The eastern Transverse Ranges are commonly interpreted as severely rotated clockwise tectonically in the Neogene relative to the Mojave Desert, but similar orientations of Jurassic dike swarms suggest that any differential rotation between the two provinces is small in this quadrangle. The late Cenozoic Pinto Mountain Fault and other strike-slip faults cut Quaternary deposits in the quadrangle, with two northwest-striking faults cutting Holocene deposits.\n\nGeographic Information System and metadata on most geologic features are available on the Geologic map of the Sheep Hole Mountains 30’ by 60’ quadrangle, U.S. Geological Survey map MF–2234, scale 1:100,000, available at http://pubs.usgs.gov/mf/2002/2344/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gq1767","usgsCitation":"Howard, K.A., Bacheller, J., Fitzgibbon, T.T., Powell, R.E., and Allen, C., 2013, Geologic map of the Valley Mountain 15’ quadrangle, San Bernardino and Riverside Counties, California: U.S. Geological Survey Geologic Quadrangle 1767, Report: ii, 17 p.; 1 Sheet: 33.60 × 35.24 inches, https://doi.org/10.3133/gq1767.","productDescription":"Report: ii, 17 p.; 1 Sheet: 33.60 × 35.24 inches","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":275541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gq1767.png"},{"id":398880,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98762.htm"},{"id":275539,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/gq/1767/gq1767_sheet.pdf"},{"id":275538,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gq/1767/"},{"id":275540,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gq/1767/gq1767_pamphlet.pdf"}],"scale":"62500","country":"United States","state":"California","county":"Riverside County, San Bernardino County","otherGeospatial":"Valley Mountain 15' quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.0,34.0 ], [ -116.0,34.25 ], [ -115.75,34.25 ], [ -115.75,34.0 ], [ -116.0,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d5e4b02e26443a9321","contributors":{"authors":[{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bacheller, John","contributorId":41314,"corporation":false,"usgs":true,"family":"Bacheller","given":"John","email":"","affiliations":[],"preferred":false,"id":481613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgibbon, Todd T.","contributorId":81126,"corporation":false,"usgs":true,"family":"Fitzgibbon","given":"Todd","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":481614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Robert E. 0000-0001-7682-1655 rpowell@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-1655","contributorId":4210,"corporation":false,"usgs":true,"family":"Powell","given":"Robert","email":"rpowell@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Charlotte M.","contributorId":107297,"corporation":false,"usgs":true,"family":"Allen","given":"Charlotte M.","affiliations":[],"preferred":false,"id":481615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047284,"text":"dsDS709CC - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Parwan mineral district in Afghanistan: Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-07-30T09:40:27","indexId":"dsDS709CC","displayToPublicDate":"2013-07-29T20:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"CC","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Parwan mineral district in Afghanistan: Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Parwan mineral district, which has gold and copper deposits.\n\nALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2006, 2007), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement.\n\nelevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands).\n\nAll image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Parwan) and the WGS84 datum. The final image mosaics were subdivided into two overlapping tiles or quadrants because of the large size of the target area. The two image tiles (or quadrants) for the North Bamyan area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (Data Series 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dsDS709CC","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey; This report is Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>. For more information, see: <a href=\"http://pubs.er.usgs.gov/publication/ds709\" target=\"_blank\">Data Series 709</a>.","usgsCitation":"Davis, P.A., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Parwan mineral district in Afghanistan: Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>: U.S. Geological Survey Data Series 709, HTML Document; Readme Text; 4 Index Maps; 4 Image Files; 4 Metadata Files; Shapefiles, https://doi.org/10.3133/dsDS709CC.","productDescription":"HTML Document; Readme Text; 4 Index Maps; 4 Image Files; 4 Metadata Files; Shapefiles","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049057","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":275537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/dsds709cc.PNG"},{"id":275531,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/cc/"},{"id":275536,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/cc/shapefiles/shapefiles.html"},{"id":275532,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/cc/1_readme.txt"},{"id":275533,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/cc/index_maps/index_maps.html"},{"id":275534,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/cc/image_files/image_files.html"},{"id":275535,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/cc/metadata/metadata.html"}],"country":"Afghanistan","otherGeospatial":"Parwan Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 58.0,28.0 ], [ 58.0,40.0 ], [ 78.0,40.0 ], [ 78.0,28.0 ], [ 58.0,28.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9329","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":481610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046215,"text":"70046215 - 2013 - Mercury cycling in agricultural and managed wetlands of California: seasonal influences of vegetation on mercury methylation, storage, and transport","interactions":[],"lastModifiedDate":"2017-07-01T17:25:03","indexId":"70046215","displayToPublicDate":"2013-07-29T14:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands of California: seasonal influences of vegetation on mercury methylation, storage, and transport","docAbstract":"Plants are a dominant biologic and physical component of many wetland capable of influencing the internal pools and fluxes of methylmercury (MeHg). To investigate their role with respect to the latter, we examined the changing seasonal roles of vegetation biomass and Hg, C and N composition from May 2007-February 2008 in 3 types of agricultural wetlands (domesticated or white rice, wild rice, and fallow fields), and in adjacent managed natural wetlands dominated by cattail and bulrush (tule). We also determined the impact of vegetation on seasonal microbial Hg methylation rates, and Hg and MeHg export via seasonal storage in vegetation, and biotic consumption of rice seed. Despite a compressed growing season of ~ 3 months, annual net primary productivity (NPP) was greatest in white rice fields and carbon more labile (leaf median C:N ratio = 27). Decay of senescent litter (residue) was correlated with microbial MeHg production in winter among all wetlands. As agricultural biomass accumulated from July to August, THg concentrations declined in leaves but MeHg concentrations remained consistent, such that MeHg pools generally increased with growth. Vegetation provided a small, temporary, but significant storage term for MeHg in agricultural fields when compared with hydrologic export. White rice and wild rice seeds reached mean MeHg concentrations of 4.1 and 6.2 ng g<sub>dw</sub><sup>- 1</sup>, respectively. In white rice and wild rice fields, seed MeHg concentrations were correlated with root MeHg concentrations (r = 0.90, p < 0.001), suggesting transport of MeHg to seeds from belowground tissues. Given the proportionally elevated concentrations of MeHg in rice seeds, white and wild rice crops may act as a conduit of MeHg into biota, especially waterfowl which forage heavily on rice seeds within the Central Valley of California, USA. Thus, while plant tissues and rhizosphere soils provide temporary storage for MeHg during the growing season, export of MeHg is enhanced post-harvest through increased hydrologic and biotic export.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.05.027","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M.C., Kakouros, E., Agee, J.L., Kieu, L.H., Stricker, C.A., Fleck, J., and Ackerman, J., 2013, Mercury cycling in agricultural and managed wetlands of California: seasonal influences of vegetation on mercury methylation, storage, and transport: Science of the Total Environment, 11 p., https://doi.org/10.1016/j.scitotenv.2013.05.027.","productDescription":"11 p.","ipdsId":"IP-045775","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":275520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275521,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.05.027"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.663971,38.417283 ], [ -121.663971,38.556489 ], [ -121.586037,38.556489 ], [ -121.586037,38.417283 ], [ -121.663971,38.417283 ] ] ] } } ] }","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d7e4b02e26443a9335","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - 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,{"id":70044756,"text":"70044756 - 2013 - Mapping wildfire burn severity in the Arctic Tundra from downsampled MODIS data","interactions":[],"lastModifiedDate":"2013-08-12T09:42:50","indexId":"70044756","displayToPublicDate":"2013-07-29T13:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping wildfire burn severity in the Arctic Tundra from downsampled MODIS data","docAbstract":"Wildfires are historically infrequent in the arctic tundra, but are projected to increase with climate warming. Fire effects on tundra ecosystems are poorly understood and difficult to quantify in a remote region where a short growing season severely limits ground data collection. Remote sensing has been widely utilized to characterize wildfire regimes, but primarily from the Landsat sensor, which has limited data acquisition in the Arctic. Here, coarse-resolution remotely sensed data are assessed as a means to quantify wildfire burn severity of the 2007 Anaktuvuk River Fire in Alaska, the largest tundra wildfire ever recorded on Alaska's North Slope. Data from Landsat Thematic Mapper (TM) and downsampled Moderate-resolution Imaging Spectroradiometer (MODIS) were processed to spectral indices and correlated to observed metrics of surface, subsurface, and comprehensive burn severity. Spectral indices were strongly correlated to surface severity (maximum R2 = 0.88) and slightly less strongly correlated to substrate severity. Downsampled MODIS data showed a decrease in severity one year post-fire, corroborating rapid vegetation regeneration observed on the burned site. These results indicate that widely-used spectral indices and downsampled coarse-resolution data provide a reasonable supplement to often-limited ground data collection for analysis and long-term monitoring of wildfire effects in arctic ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Arctic, Antarctic, and Alpine Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Arctic and Alpine Research (INSTAAR)","doi":"10.1657/1938-4246-45.1.64","usgsCitation":"Kolden, C.A., and Rogan, J., 2013, Mapping wildfire burn severity in the Arctic Tundra from downsampled MODIS data: Arctic, Antarctic, and Alpine Research, v. 45, no. 1, p. 64-76, https://doi.org/10.1657/1938-4246-45.1.64.","productDescription":"13 p.","startPage":"64","endPage":"76","ipdsId":"IP-018916","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473641,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1657/1938-4246-45.1.64","text":"Publisher Index Page"},{"id":275517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275509,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1657/1938-4246-45.1.64"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.3861,68.8704 ], [ -151.3861,69.311 ], [ -149.7285,69.311 ], [ -149.7285,68.8704 ], [ -151.3861,68.8704 ] ] ] } } ] }","volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-01-05","publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a932d","contributors":{"authors":[{"text":"Kolden, Crystal A.","contributorId":98610,"corporation":false,"usgs":true,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogan, John","contributorId":83008,"corporation":false,"usgs":true,"family":"Rogan","given":"John","email":"","affiliations":[],"preferred":false,"id":476286,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047270,"text":"70047270 - 2013 - The role of vermetid gastropods in the development of the Florida Middle Ground, northeast Gulf of Mexico","interactions":[],"lastModifiedDate":"2013-07-29T13:53:24","indexId":"70047270","displayToPublicDate":"2013-07-29T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"The role of vermetid gastropods in the development of the Florida Middle Ground, northeast Gulf of Mexico","docAbstract":"The Florida Middle Ground is a complex of north to northwest trending ridges that lie approximately 180 km northwest of Tampa Bay, Florida. The irregular ridges appear on the otherwise gently sloping West Florida shelf and exhibit between 10-15 m of relief. Modern studies interpret the ridges as remnants of a Holocene coral-reef buildup that today provide a hard substrate for growth of a variety of benthic organisms including hydrocorals, scleractinians, alcyonarians, and algae. Recent rotary coring reveals that the core of the eastern ridge of the Florida Middle Ground complex consists of unconsolidated marine calcareous muddy sand that is capped by a boundstone composed primarily of the sessile vermetid gastropod <i>Petaloconchus</i> sp., and overlays a weathered, fossiliferous limestone. Accelerator Mass Spectrometry radiocarbon ages (uncalibrated) on the 3.6-m thick vermetid worm rock indicate that it developed during a sea-level stillstand in the early Holocene (8,225 &plusmn;30-8,910 &plusmn; 25 yr B.P.). Our observations suggest that the Florida Middle Ground is a remnant of a series of shore parallel bars that formed in the early Holocene and were capped by a 3.6-m thick unit of vermetid gastropods. During a rapid sea-level rise that began ~8,000 yr B.P. the vermetids growth ceased and the worm rock preserved the ridges structure. Diver observations document that the edges of the ridges are currently being eroded and undermined by biological activity and current action, leading to calving of large capstone blocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Journal of Coastal Research","doi":"10.2112/SI63-005.1","usgsCitation":"Reich, C.D., Poore, R.Z., and Hickey, T.D., 2013, The role of vermetid gastropods in the development of the Florida Middle Ground, northeast Gulf of Mexico: Journal of Coastal Research, p. 46-57, https://doi.org/10.2112/SI63-005.1.","productDescription":"12 p.","startPage":"46","endPage":"57","numberOfPages":"12","ipdsId":"IP-037412","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275510,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-005.1"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Middle Ground","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.9077,27.3348 ], [ -84.9077,29.539 ], [ -82.6125,29.539 ], [ -82.6125,27.3348 ], [ -84.9077,27.3348 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d7e4b02e26443a933d","contributors":{"authors":[{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":481575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickey, Todd D.","contributorId":34255,"corporation":false,"usgs":true,"family":"Hickey","given":"Todd","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047273,"text":"70047273 - 2013 - Sr/Ca proxy sea-surface temperature reconstructions from modern and holocene Montastraea faveolata specimens from the Dry Tortugas National Park","interactions":[],"lastModifiedDate":"2022-11-14T17:03:04.804013","indexId":"70047273","displayToPublicDate":"2013-07-29T13:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sr/Ca proxy sea-surface temperature reconstructions from modern and holocene <i>Montastraea faveolata</i> specimens from the Dry Tortugas National Park","title":"Sr/Ca proxy sea-surface temperature reconstructions from modern and holocene Montastraea faveolata specimens from the Dry Tortugas National Park","docAbstract":"<p>Sr/Ca ratios from skeletal samples from two <i>Montastraea faveolata</i> corals (one modern, one Holocene, ~6 Ka) from the Dry Tortugas National Park were measured as a proxy for sea-surface temperature (SST). We sampled coral specimens with a computer-driven triaxial micromilling machine, which yielded an average of 15 homogenous samples per annual growth increment. We regressed Sr/Ca values from resulting powdered samples against a local SST record to obtain a calibration equation of Sr/Ca = -0.0392 SST + 10.205, R = -0.97. The resulting calibration was used to generate a 47-year modern (1961-2008) and a 7-year Holocene (~6 Ka) Sr/Ca subannually resolved proxy record of SST. The modern <i>M. faveolata</i> yields well-defined annual Sr/Ca cycles ranging in amplitude from ~0.3 and 0.5 mmol/mol. The amplitude of ~0.3 to 0.5 mmol/mol equates to a 10-15&deg;C seasonal SST amplitude, which is consistent with available local instrumental records. Summer maxima proxy SSTs calculated from the modern coral Sr/ Ca tend to be fairly stable: most SST maxima from 1961&ndash;2008 are 29&deg;C &plusmn; 1&deg;C. In contrast, winter minimum SST calculated in the 47-year modern time-series are highly variable, with a cool interval in the early to mid-1970s. The Holocene (~6 Ka) <i>Montastraea faveolata</i> coral also yields distinct annual Sr/Ca cycles with amplitudes ranging from ~0.3 to 0.6 mmol/mol. Absolute Sr/Ca values and thus resulting SST estimates over the ~7-year long record are similar to those from the modern coral. We conclude that Sr/Ca from <i>Montastraea faveolata</i> has high potential for developing subannually resolved Holocene SST records.</p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-003.1","usgsCitation":"Flannery, J.A., and Poore, R.Z., 2013, Sr/Ca proxy sea-surface temperature reconstructions from modern and holocene Montastraea faveolata specimens from the Dry Tortugas National Park: Journal of Coastal Research, v. 63, no. SP1, p. 20-31, https://doi.org/10.2112/SI63-003.1.","productDescription":"12 p.","startPage":"20","endPage":"31","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034337","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.76726792345106,\n              24.668847526359244\n            ],\n            [\n              -82.7662420584935,\n              24.702403637588674\n            ],\n            [\n              -82.80112146703877,\n              24.725701175795734\n            ],\n            [\n              -82.86369922942924,\n              24.72476935798862\n            ],\n            [\n              -82.90165623284628,\n              24.71731456433045\n            ],\n            [\n              -82.96731159010801,\n              24.652066084419502\n            ],\n            [\n              -82.96628572515093,\n              24.564393037813716\n            ],\n            [\n              -82.8944751781457,\n              24.565326053015824\n            ],\n            [\n              -82.79906973712458,\n              24.612900615057384\n            ],\n            [\n              -82.7662420584935,\n              24.66791528323482\n            ],\n            [\n              -82.76726792345106,\n              24.668847526359244\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"63","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d7e4b02e26443a9339","contributors":{"authors":[{"text":"Flannery, Jennifer A. 0000-0002-1692-2662 jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":481581,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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