Natural hydrate-bearing sediments from the Nankai Trough, offshore Japan, were studied using the Pressure Core Characterization Tools (PCCTs) to obtain geomechanical, hydrological, electrical, and biological properties under in situ pressure, temperature, and restored effective stress conditions. Measurement results, combined with index-property data and analytical physics-based models, provide unique insight into hydrate-bearing sediments in situ. Tested cores contain some silty-sands, but are predominantly sandy- and clayey-silts. Hydrate saturations Sh range from 0.15 to 0.74, with significant concentrations in the silty-sands. Wave velocity and flexible-wall permeameter measurements on never-depressurized pressure-core sediments suggest hydrates in the coarser-grained zones, the silty-sands where Sh exceeds 0.4, contribute to soil-skeletal stability and are load-bearing. In the sandy- and clayey-silts, where Sh < 0.4, the state of effective stress and stress history are significant factors determining sediment stiffness. Controlled depressurization tests show that hydrate dissociation occurs too quickly to maintain thermodynamic equilibrium, and pressure–temperature conditions track the hydrate stability boundary in pure-water, rather than that in seawater, in spite of both the in situ pore water and the water used to maintain specimen pore pressure prior to dissociation being saline. Hydrate dissociation accompanied with fines migration caused up to 2.4% vertical strain contraction. The first-ever direct shear measurements on never-depressurized pressure-core specimens show hydrate-bearing sediments have higher sediment strength and peak friction angle than post-dissociation sediments, but the residual friction angle remains the same in both cases. Permeability measurements made before and after hydrate dissociation demonstrate that water permeability increases after dissociation, but the gain is limited by the transition from hydrate saturation before dissociation to gas saturation after dissociation. In a proof-of-concept study, sediment microbial communities were successfully extracted and stored under high-pressure, anoxic conditions. Depressurized samples of these extractions were incubated in air, where microbes exhibited temperature-dependent growth rates.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2015.02.033","usgsCitation":"Santamarina, J., Dai, S., Terzariol, M., Jang, J., Waite, W., Winters, W.J., Nagao, J., Yoneda, J., Konno, Y., Fujii, T., and Suzuki, K., 2015, Hydro-bio-geomechanical properties of hydrate-bearing sediments from Nankai Trough: Journal of Marine and Petroleum Geology, v. 66, no. 2, p. 434-450, https://doi.org/10.1016/j.marpetgeo.2015.02.033.","productDescription":"17 p.","startPage":"434","endPage":"450","ipdsId":"IP-062005","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2015.02.033","text":"Publisher Index Page"},{"id":345091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e944ae4b04935557fe9dd","contributors":{"authors":[{"text":"Santamarina, J.C.","contributorId":50283,"corporation":false,"usgs":true,"family":"Santamarina","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":708293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dai, Shifeng","contributorId":138922,"corporation":false,"usgs":false,"family":"Dai","given":"Shifeng","email":"","affiliations":[{"id":12582,"text":"State Key Laboratory of Coal Resources and Safe Mining, University of Mining and Technology, Beijing, People’s Republic of China","active":true,"usgs":false}],"preferred":false,"id":708294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terzariol, M.","contributorId":195811,"corporation":false,"usgs":false,"family":"Terzariol","given":"M.","email":"","affiliations":[],"preferred":false,"id":708295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jang, Jeonghwan","contributorId":190816,"corporation":false,"usgs":false,"family":"Jang","given":"Jeonghwan","email":"","affiliations":[],"preferred":false,"id":708296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":708292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagao, J.","contributorId":195812,"corporation":false,"usgs":false,"family":"Nagao","given":"J.","email":"","affiliations":[],"preferred":false,"id":708298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yoneda, J.","contributorId":195813,"corporation":false,"usgs":false,"family":"Yoneda","given":"J.","email":"","affiliations":[],"preferred":false,"id":708299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Konno, Y.","contributorId":195814,"corporation":false,"usgs":false,"family":"Konno","given":"Y.","affiliations":[],"preferred":false,"id":708300,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fujii, T.","contributorId":195815,"corporation":false,"usgs":false,"family":"Fujii","given":"T.","email":"","affiliations":[],"preferred":false,"id":708301,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Suzuki, K.","contributorId":178737,"corporation":false,"usgs":false,"family":"Suzuki","given":"K.","email":"","affiliations":[],"preferred":false,"id":708302,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70170347,"text":"70170347 - 2015 - Importance of the colmation layer in the transport and removal of cyanobacteria, viruses, and dissolved organic carbon during natural lake-bank filtration","interactions":[],"lastModifiedDate":"2018-09-04T16:00:09","indexId":"70170347","displayToPublicDate":"2015-09-16T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Importance of the colmation layer in the transport and removal of cyanobacteria, viruses, and dissolved organic carbon during natural lake-bank filtration","docAbstract":"This study focused on the importance of the colmation layer in the removal of cyanobacteria, viruses, and dissolved organic carbon (DOC) during natural bank filtration. Injection-and-recovery studies were performed at two shallow (0.5 m deep), sandy, near-shore sites at the southern end of Ashumet Pond, a waste-impacted, kettle pond on Cape Cod, MA, that is subject to periodic blooms of cyanobacteria and continuously recharges a sole-source drinking-water aquifer. The experiment involved assessing the transport behaviors of bromide (conservative tracer), Synechococcus sp. IU625 (cyanobacterium, 2.6 ± 0.2 µm), AS-1 (tailed cyanophage, 110 nm long), MS2 (coliphage, 26 nm diameter), and carboxylate-modified microspheres (1.7 µm diameter) introduced to the colmation layer using a bag-and-barrel (Lee-type) seepage meter. The injectate constituents were tracked as they were advected across the pond water–groundwater interface and through the underlying aquifer sediments under natural-gradient conditions past push-point samplers placed at ∼30-cm intervals along a 1.2-m-long, diagonally downward flow path. More than 99% of the microspheres, IU625, MS2, AS-1, and ∼44% of the pond DOC were removed in the colmation layer (upper 25 cm of poorly sorted bottom sediments) at two test locations characterized by dissimilar seepage rates (1.7 vs. 0.26 m d−1). Retention profiles in recovered core material indicated that >82% of the attached IU625 were in the top 3 cm of bottom sediments. The colmation layer was also responsible for rapid changes in the character of the DOC and was more effective (by three orders of magnitude) at removing microspheres than was the underlying 20-cm-thick segment of sediment.
","language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/jeq2015.03.0151","usgsCitation":"Harvey, R.W., Metge, D.W., LeBlanc, D.R., Underwood, J., Aiken, G.R., Butler, K.D., McCobb, T.D., and Jasperse, J., 2015, Importance of the colmation layer in the transport and removal of cyanobacteria, viruses, and dissolved organic carbon during natural lake-bank filtration: Journal of Environmental Quality, v. 44, no. 5, p. 1413-1423, https://doi.org/10.2134/jeq2015.03.0151.","productDescription":"11 p.","startPage":"1413","endPage":"1423","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066009","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central 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Central Branch","active":true,"usgs":true}],"preferred":true,"id":626922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":626923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, Jennifer C. jcunder@usgs.gov","contributorId":4680,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer C.","email":"jcunder@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":626925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":626926,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":626927,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCobb, Timothy D. 0000-0003-1533-847X tmccobb@usgs.gov","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":2012,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy","email":"tmccobb@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626928,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jasperse, Jay","contributorId":168661,"corporation":false,"usgs":false,"family":"Jasperse","given":"Jay","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":626929,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156981,"text":"ofr20151169 - 2015 - Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy","interactions":[],"lastModifiedDate":"2025-05-13T16:53:28.235417","indexId":"ofr20151169","displayToPublicDate":"2015-09-15T16:15:00","publicationYear":"2015","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":"2015-1169","title":"Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy","docAbstract":"The effect of tropical and extratropical cyclones on coastal wetlands and marshes is highly variable and depends on a number of climatic, geologic, and physical variables. The impacts of storms can be either positive or negative with respect to the wetland and marsh ecosystems. Small to moderate amounts of inorganic sediment added to the marsh surface during storms or other events help to abate pressure from sea-level rise. However, if the volume of sediment is large and the resulting deposits are thick, the organic substrate may compact causing submergence and a loss in elevation. Similarly, thick deposits of coarse inorganic sediment may also alter the hydrology of the site and impede vegetative processes. Alternative impacts associated with storms include shoreline erosion at the marsh edge as well as potential emergence. Evaluating the outcome of these various responses and potential long-term implications is possible from a systematic assessment of both historical and recent event deposits. A study was conducted by the U.S. Geological Survey to assess the sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and areas around Chincoteague Bay, Maryland and Virginia, following Hurricane Sandy in 2012. The objectives of this study were to (1) characterize the surficial sediment of the relict to recent washover fans and back-barrier marshes in the study area, and (2) characterize the sediment of six marsh cores from the back-barrier marshes and a single marsh island core near the mainland. These geologic data will be integrated with other remote sensing data collected along Assateague Island in Maryland and Virginia and assimilated into an assessment of coastal wetland response to storms.
\nThis report serves as an archive for sedimentological and radiochemical data derived from the surface sediments and marsh cores collected March 26–April 4, 2014. Select surficial data are available for the additional sampling periods October 21–30, 2014. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include: Field documentation, x-radiographs, photographs, detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata (data downloads).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151169","usgsCitation":"Smith, C.G., Marot, M.E., Ellis, A.M., Wheaton, C.J., Bernier, J.C., and Adams, C.S., 2015, Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy: U.S. Geological Survey Open-File Report 2015–1169, https://dx.doi.org/10.3133/ofr20151169.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-03-26","temporalEnd":"2014-10-30","ipdsId":"IP-065781","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308090,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1169/index.html","text":"Report (HTML)","description":"OFR 2015-1169"},{"id":308089,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1169/images/coverthb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4815673828125,\n 37.82931081282506\n ],\n [\n -75.4815673828125,\n 38.447135775082444\n ],\n [\n -75.02838134765625,\n 38.447135775082444\n ],\n [\n -75.02838134765625,\n 37.82931081282506\n ],\n [\n -75.4815673828125,\n 37.82931081282506\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 Fourth Street South
St. Petersburg, FL 33701-4846
(727) 502-8000
http://coastal.er.usgs.gov/
Tidal wetlands are highly productive and act as critical habitat for a wide variety of plants, fish, shellfish, and other wildlife. These ecotones between aquatic and terrestrial environments also provide protection from storm damage, run-off filtering, and recharge of aquifers. Many wetlands along coasts have been exposed to stress-inducing alterations globally, including dredge and fill operations, hydrologic modifications, pollutants, impoundments, fragmentation by roads/ditches, and sea level rise. For wetland protection and sensible coastal development, there is a need to monitor these ecosystems at global and regional scales. Recent advances in satellite sensor design and data analysis are providing practical methods for monitoring natural and man-made changes in wetlands. However, available satellite remote sensors have been limited to mapping primarily wetland location and extent. This paper describes how the HyspIRI hyperspectral and thermal infrared sensors can be used to study and map key ecological properties, such as species composition, biomass, hydrology, and evapotranspiration of tidal salt and brackish marshes and mangroves, and perhaps other major wetland types, including freshwater marshes and wooded/shrub wetlands.
","language":"English","publisher":"American Elsevier Pub. Co","publisherLocation":"New York, NY","doi":"10.1016/j.rse.2015.05.008","usgsCitation":"Kevin Turpie, Klemas, V., Byrd, K.B., Kelly, M., and Jo, Y., 2015, Prospective HyspIRI global observations of tidal wetlands: Remote Sensing of Environment, v. 167, p. 206-217, https://doi.org/10.1016/j.rse.2015.05.008.","productDescription":"12 p.","startPage":"206","endPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059690","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/2hw3t446","text":"External Repository"},{"id":312010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbece4b06a3ea36c8b40","contributors":{"authors":[{"text":"Kevin Turpie","contributorId":150358,"corporation":false,"usgs":false,"family":"Kevin Turpie","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":581399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemas, Victor","contributorId":150359,"corporation":false,"usgs":false,"family":"Klemas","given":"Victor","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":581400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Maggi","contributorId":150360,"corporation":false,"usgs":false,"family":"Kelly","given":"Maggi","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":581401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jo, Young-Heon","contributorId":150361,"corporation":false,"usgs":false,"family":"Jo","given":"Young-Heon","email":"","affiliations":[{"id":18010,"text":"Pusan National University, Busan, South Korea","active":true,"usgs":false}],"preferred":false,"id":581402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70164515,"text":"70164515 - 2015 - Sustainable water management under future uncertainty with eco-engineering decision scaling","interactions":[],"lastModifiedDate":"2016-02-09T12:17:51","indexId":"70164515","displayToPublicDate":"2015-09-14T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Sustainable water management under future uncertainty with eco-engineering decision scaling","docAbstract":"Managing freshwater resources sustainably under future climatic and hydrological uncertainty poses novel challenges. Rehabilitation of ageing infrastructure and construction of new dams are widely viewed as solutions to diminish climate risk, but attaining the broad goal of freshwater sustainability will require expansion of the prevailing water resources management paradigm beyond narrow economic criteria to include socially valued ecosystem functions and services. We introduce a new decision framework, eco-engineering decision scaling (EEDS), that explicitly and quantitatively explores trade-offs in stakeholder-defined engineering and ecological performance metrics across a range of possible management actions under unknown future hydrological and climate states. We illustrate its potential application through a hypothetical case study of the Iowa River, USA. EEDS holds promise as a powerful framework for operationalizing freshwater sustainability under future hydrological uncertainty by fostering collaboration across historically conflicting perspectives of water resource engineering and river conservation ecology to design and operate water infrastructure for social and environmental benefits.
","language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/nclimate2765","usgsCitation":"Poff, N., Brown, C.M., Grantham, T.E., Matthews, J.H., Palmer, M.A., Spence, C.M., Wilby, R.L., Haasnoot, M., Mendoza, G., Dominique, K.C., and Baeza, A., 2015, Sustainable water management under future uncertainty with eco-engineering decision scaling: Nature Climate Change, v. 6, p. 25-34, https://doi.org/10.1038/nclimate2765.","productDescription":"10","startPage":"25","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063765","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.lboro.ac.uk/2134/19029","text":"External Repository"},{"id":316737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"56bb1bd1e4b08d617f654e6f","contributors":{"authors":[{"text":"Poff, N LeRoy","contributorId":156377,"corporation":false,"usgs":false,"family":"Poff","given":"N LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":597700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Casey M","contributorId":156378,"corporation":false,"usgs":false,"family":"Brown","given":"Casey","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grantham, Theodore E. tgrantham@usgs.gov","contributorId":156376,"corporation":false,"usgs":true,"family":"Grantham","given":"Theodore","email":"tgrantham@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":597699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, John H","contributorId":156379,"corporation":false,"usgs":false,"family":"Matthews","given":"John","email":"","middleInitial":"H","affiliations":[{"id":20334,"text":"Alliance for Global Water Adaptation","active":true,"usgs":false}],"preferred":false,"id":597702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Margaret A.","contributorId":149194,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret","email":"","middleInitial":"A.","affiliations":[{"id":17669,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":597703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spence, Caitlin M","contributorId":156380,"corporation":false,"usgs":false,"family":"Spence","given":"Caitlin","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilby, Robert L.","contributorId":101561,"corporation":false,"usgs":true,"family":"Wilby","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":597705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haasnoot, Marjolijn","contributorId":156381,"corporation":false,"usgs":false,"family":"Haasnoot","given":"Marjolijn","email":"","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":597706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mendoza, Guillermo F","contributorId":156382,"corporation":false,"usgs":false,"family":"Mendoza","given":"Guillermo F","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":597707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dominique, Kathleen C","contributorId":156383,"corporation":false,"usgs":false,"family":"Dominique","given":"Kathleen","email":"","middleInitial":"C","affiliations":[{"id":20335,"text":"Organisation for Economic Co-operation and Development","active":true,"usgs":false}],"preferred":false,"id":597708,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baeza, Andres","contributorId":156384,"corporation":false,"usgs":false,"family":"Baeza","given":"Andres","email":"","affiliations":[{"id":20336,"text":"National Socio-Environmental Synthesis Center","active":true,"usgs":false}],"preferred":false,"id":597709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70157082,"text":"70157082 - 2015 - Bistability of mangrove forests and competition with freshwater plants","interactions":[],"lastModifiedDate":"2015-09-08T13:05:29","indexId":"70157082","displayToPublicDate":"2015-09-08T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Bistability of mangrove forests and competition with freshwater plants","docAbstract":"Halophytic communities such as mangrove forests and buttonwood hammocks tend to border freshwater plant communities as sharp ecotones. Most studies attribute this purely to underlying physical templates, such as groundwater salinity gradients caused by tidal flux and topography. However, a few recent studies hypothesize that self-reinforcing feedback between vegetation and vadose zone salinity are also involved and create a bistable situation in which either halophytic dominated habitat or freshwater plant communities may dominate as alternative stable states. Here, we revisit the bistability hypothesis and demonstrate the mechanisms that result in bistability. We demonstrate with remote sensing imagery the sharp boundaries between freshwater hardwood hammock communities in southern Florida and halophytic communities such as buttonwood hammocks and mangroves. We further document from the literature how transpiration of mangroves and freshwater plants respond differently to vadose zone salinity, thus altering the salinity through feedback. Using mathematical models, we show how the self-reinforcing feedback, together with physical template, controls the ecotones between halophytic and freshwater communities. Regions of bistability along environmental gradients of salinity have the potential for large-scale vegetation shifts following pulse disturbances such as hurricane tidal surges in Florida, or tsunamis in other regions. The size of the region of bistability can be large for low-lying coastal habitat due to the saline water table, which extends inland due to salinity intrusion. We suggest coupling ecological and hydrologic processes as a framework for future studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2014.10.004","usgsCitation":"Jiang, J., Fuller, D.O., Teh, S., Zhai, L., Koh, H.L., DeAngelis, D., and Sternberg, L., 2015, Bistability of mangrove forests and competition with freshwater plants: Agricultural and Forest Meteorology, v. 213, p. 283-290, https://doi.org/10.1016/j.agrformet.2014.10.004.","productDescription":"8 p.","startPage":"283","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060680","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2014.10.004","text":"Publisher Index Page"},{"id":307949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.00494384765625,\n 25.124149253988598\n ],\n [\n -81.00494384765625,\n 25.247180194609925\n ],\n [\n -80.81817626953125,\n 25.247180194609925\n ],\n [\n -80.81817626953125,\n 25.124149253988598\n ],\n [\n -81.00494384765625,\n 25.124149253988598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"213","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55eff8a7e4b0dacf699e9fd1","chorus":{"doi":"10.1016/j.agrformet.2014.10.004","url":"http://dx.doi.org/10.1016/j.agrformet.2014.10.004","publisher":"Elsevier BV","authors":"Jiang Jiang, Fuller Douglas O., Teh Su Yean, Zhai Lu, Koh Hock Lye, DeAngelis Donald L., Sternberg Leonel da Silveira Lobo","journalName":"Agricultural and Forest Meteorology","publicationDate":"11/2015","auditedOn":"12/3/2014"},"contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":571539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Douglas O","contributorId":147394,"corporation":false,"usgs":false,"family":"Fuller","given":"Douglas","email":"","middleInitial":"O","affiliations":[{"id":16838,"text":"Department of Geography, University of Miami, Coral Gables FL","active":true,"usgs":false}],"preferred":false,"id":571540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teh, Su Yean","contributorId":118102,"corporation":false,"usgs":true,"family":"Teh","given":"Su Yean","affiliations":[],"preferred":false,"id":571541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhai, Lu","contributorId":147395,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","affiliations":[{"id":16839,"text":"Department of Biology, University of Miami, Coral Gables, Florida","active":true,"usgs":false}],"preferred":false,"id":571542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koh, Hock Lye","contributorId":119022,"corporation":false,"usgs":true,"family":"Koh","given":"Hock","email":"","middleInitial":"Lye","affiliations":[],"preferred":false,"id":571543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":571538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sternberg, L.D.S.L.","contributorId":41223,"corporation":false,"usgs":true,"family":"Sternberg","given":"L.D.S.L.","email":"","affiliations":[],"preferred":false,"id":571544,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70157399,"text":"70157399 - 2015 - Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter","interactions":[],"lastModifiedDate":"2018-08-10T09:59:24","indexId":"70157399","displayToPublicDate":"2015-09-02T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter","docAbstract":"The presence of mercury (Hg), particularly methylmercury (MeHg), is a concern for both human and ecological health as MeHg is a neurotoxin and can bioaccumulate to lethal levels in upper trophic level organisms. Recent research has demonstrated that coagulation with metal-based salts can effectively remove both inorganic mercury (IHg) and MeHg from solution through association with dissolved organic matter (DOM) and subsequent flocculation and precipitation. In this study, we sought to further examine interactions between Hg and DOM and the resulting organo-metallic precipitate (floc) to assess if (1) newly added IHg could be removed to the same extent as ambient IHg or whether the association between IHg and DOM requires time, and (2) once formed, if the floc has the capacity to remove additional Hg from solution. Agricultural drainage water samples containing ambient concentrations of both DOM and IHg were spiked with a traceable amount of isotopically enriched IHg and dosed with ferric sulfate after 0, 1, 5, and 30 days. Both ambient and newly added IHg were removed within hours, with 69–79 % removed. To a separate sample set, isotopically enriched IHg was added to solution after floc had formed. Under those conditions, 81–95 % of newly added Hg was removed even at Hg concentrations 1000-fold higher than ambient levels. Results of this study indicate coagulation with ferric sulfate effectively removes both ambient and newly added IHg entering a system and suggests rapid association between IHg and DOM. This work also provides new information regarding the ability of floc to remove additional Hg from solution even after it has formed.
","language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00267-015-0601-2","usgsCitation":"Henneberry, Y.K., Kraus, T.E., Krabbenhoft, D.P., and Horwath, W., 2015, Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter: Environmental Management, v. 57, no. 1, p. 220-228, https://doi.org/10.1007/s00267-015-0601-2.","productDescription":"9 p.","startPage":"220","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063553","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":308426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"5603cd45e4b03bc34f544b15","contributors":{"authors":[{"text":"Henneberry, Yumiko K.","contributorId":66157,"corporation":false,"usgs":true,"family":"Henneberry","given":"Yumiko","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":573005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":573006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horwath, William R.","contributorId":37234,"corporation":false,"usgs":true,"family":"Horwath","given":"William R.","affiliations":[],"preferred":false,"id":573007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156871,"text":"70156871 - 2015 - Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA","interactions":[],"lastModifiedDate":"2015-09-02T09:00:25","indexId":"70156871","displayToPublicDate":"2015-09-02T10:00:00","publicationYear":"2015","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":"Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA","docAbstract":"Understanding the efficacy of revised watershed management methods is important to mitigating the impacts of urbanization on streamflow. We evaluated the influence of land use change, primarily as urbanization, and stormwater control measures on the relationship between precipitation and stream discharge over an 8-year period for five catchments near Clarksburg, Montgomery County, Maryland, USA. A unit-hydrograph model based on a temporal transfer function was employed to account for and standardize temporal variation in rainfall pattern, and properly apportion rainfall to streamflow at different time lags. From these lagged relationships, we quantified a correction to the precipitation time series to achieve a hydrograph that showed good agreement between precipitation and discharge records. Positive corrections appeared to include precipitation events that were of limited areal extent and therefore not captured by our rain gages. Negative corrections were analysed for potential causal relationships. We used mixed-model statistical techniques to isolate different sources of variance as drivers that mediate the rainfall–runoff dynamic before and after management. Seasonal periodicity mediated rainfall–runoff relationships, and land uses (i.e. agriculture, natural lands, wetlands and stormwater control measures) were statistically significant predictors of precipitation apportionment to stream discharge. Our approach is one way to evaluate actual effectiveness of management efforts in the face of complicating circumstances and could be paired with cost data to understand economic efficiency or life cycle aspects of watershed management. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10505","usgsCitation":"Rhea, L., Jarnagin, T., Hogan, D.M., Loperfido, J., and Shuster, W., 2015, Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA: Hydrological Processes, v. 29, no. 20, p. 4413-4426, https://doi.org/10.1002/hyp.10505.","productDescription":"14 p.","startPage":"4413","endPage":"4426","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1998-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-053400","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":307802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery County","otherGeospatial":"Clarksburg","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.32315063476562,\n 39.17771552084858\n ],\n [\n -77.32315063476562,\n 39.32101883236063\n ],\n [\n -77.16865539550781,\n 39.32101883236063\n ],\n [\n -77.16865539550781,\n 39.17771552084858\n ],\n [\n -77.32315063476562,\n 39.17771552084858\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-11","publicationStatus":"PW","scienceBaseUri":"55e80f98e4b0dacf699e663a","chorus":{"doi":"10.1002/hyp.10505","url":"http://dx.doi.org/10.1002/hyp.10505","publisher":"Wiley-Blackwell","authors":"Rhea Lee, Jarnagin Taylor, Hogan Dianna, Loperfido J. V., Shuster William","journalName":"Hydrological Processes","publicationDate":"5/11/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Rhea, Lee","contributorId":147260,"corporation":false,"usgs":false,"family":"Rhea","given":"Lee","affiliations":[{"id":16813,"text":"Sustainable Environments Branch, National Risk Management Research Laboratory, Office of Research and Development, EPA","active":true,"usgs":false}],"preferred":false,"id":570900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnagin, Taylor","contributorId":131140,"corporation":false,"usgs":false,"family":"Jarnagin","given":"Taylor","email":"","affiliations":[{"id":7258,"text":"Landscape Ecology Branch, U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":570901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":570899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loperfido, J. V. jloperfido@usgs.gov","contributorId":131139,"corporation":false,"usgs":true,"family":"Loperfido","given":"J. V.","email":"jloperfido@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":570902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shuster, William","contributorId":147261,"corporation":false,"usgs":false,"family":"Shuster","given":"William","affiliations":[{"id":16813,"text":"Sustainable Environments Branch, National Risk Management Research Laboratory, Office of Research and Development, EPA","active":true,"usgs":false}],"preferred":false,"id":570903,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157231,"text":"70157231 - 2015 - Climate change and physical disturbance cause similar community shifts in biological soil crusts","interactions":[],"lastModifiedDate":"2015-10-05T16:04:25","indexId":"70157231","displayToPublicDate":"2015-09-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and physical disturbance cause similar community shifts in biological soil crusts","docAbstract":"Biological soil crusts (biocrusts)—communities of mosses, lichens, cyanobacteria, and heterotrophs living at the soil surface—are fundamental components of drylands worldwide, and destruction of biocrusts dramatically alters biogeochemical processes, hydrology, surface energy balance, and vegetation cover. While there has been long-standing concern over impacts of 5 physical disturbances on biocrusts (e.g., trampling by livestock, damage from vehicles), there is also increasing concern over the potential for climate change to alter biocrust community structure. Using long-term data from the Colorado Plateau, USA, we examined the effects of 10 years of experimental warming and altered precipitation (in full-factorial design) on biocrust communities, and compared the effects of altered climate with those of long-term physical 10 disturbance (>10 years of replicated human trampling). Surprisingly, altered climate and physical disturbance treatments had similar effects on biocrust community structure. Warming, altered precipitation frequency [an increase of small (1.2 mm) summer rainfall events], and physical disturbance from trampling all promoted early successional community states marked by dramatic declines in moss cover and increased cyanobacteria cover, with more variable effects 15 on lichens. While the pace of community change varied significantly among treatments, our results suggest that multiple aspects of climate change will affect biocrusts to the same degree as physical disturbance. This is particularly disconcerting in the context of warming, as temperatures for drylands are projected to increase beyond those imposed by the climate treatments used in our study.
","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1509150112","usgsCitation":"Ferrenberg, S., Reed, S.C., and Belnap, J., 2015, Climate change and physical disturbance cause similar community shifts in biological soil crusts: PNAS, v. 112, no. 39, p. 12116-12121, https://doi.org/10.1073/pnas.1509150112.","productDescription":"6 p.","startPage":"12116","endPage":"12121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066539","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471818,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1509150112","text":"External Repository"},{"id":308199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"39","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"55fa92b1e4b05d6c4e501a60","contributors":{"authors":[{"text":"Ferrenberg, Scott 0000-0002-3542-0334 sferrenberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3542-0334","contributorId":147684,"corporation":false,"usgs":true,"family":"Ferrenberg","given":"Scott","email":"sferrenberg@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159505,"text":"70159505 - 2015 - High mercury wet deposition at a “clean Air” site in Puerto Rico","interactions":[],"lastModifiedDate":"2018-08-09T12:55:22","indexId":"70159505","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High mercury wet deposition at a “clean Air” site in Puerto Rico","docAbstract":"Atmospheric mercury deposition measurements are rare in tropical latitudes. Here we report on seven years (April 2005 to April 2012, with gaps) of wet Hg deposition measurements at a tropical wet forest in the Luquillo Mountains, northeastern Puerto Rico, U.S. Despite receiving unpolluted air off the Atlantic Ocean from northeasterly trade winds, during two complete years the site averaged 27.9 μg m–2 yr–1 wet Hg deposition, or about 30% more than Florida and the Gulf Coast, the highest deposition areas within the U.S. These high Hg deposition rates are driven in part by high rainfall, which averaged 2855 mm yr–1. The volume-weighted mean Hg concentration was 9.8 ng L–1, and was highest during summer and lowest during the winter dry season. Rainout of Hg (decreasing concentration with increasing rainfall depth) was minimal. The high Hg deposition was not supported by gaseous oxidized mercury (GOM) at ground level, which remained near global background concentrations (<10 pg m–3). Rather, a strong positive correlation between Hg concentrations and the maximum height of rain detected within clouds (echo tops) suggests that droplets in high convective cloud tops scavenge GOM from above the mixing layer. The high wet Hg deposition at this “clean air” site suggests that other tropical areas may be hotspots for Hg deposition as well.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b02430","usgsCitation":"Shanley, J.B., Engle, M.A., Scholl, M.A., Krabbenhoft, D.P., Brunette, R., Olson, M.L., and Conroy, M.E., 2015, High mercury wet deposition at a “clean Air” site in Puerto Rico: Environmental Science & Technology, v. 49, no. 20, p. 12474-12482, https://doi.org/10.1021/acs.est.5b02430.","productDescription":"9 p.","startPage":"12474","endPage":"12482","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024204","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.86990356445312,\n 18.236525215453405\n ],\n [\n -65.86990356445312,\n 18.35452552912664\n ],\n [\n -65.69892883300781,\n 18.35452552912664\n ],\n [\n -65.69892883300781,\n 18.236525215453405\n ],\n [\n -65.86990356445312,\n 18.236525215453405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"565446c4e4b071e7ea53d4ca","chorus":{"doi":"10.1021/acs.est.5b02430","url":"http://dx.doi.org/10.1021/acs.est.5b02430","publisher":"American Chemical Society (ACS)","authors":"Shanley James B., Engle Mark A., Scholl Martha, Krabbenhoft David P., Brunette Robert, Olson Mark L., Conroy Mary E.","journalName":"Environmental Science & Technology","publicationDate":"10/20/2015"},"contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":579288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":579290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brunette, Robert","contributorId":149742,"corporation":false,"usgs":false,"family":"Brunette","given":"Robert","email":"","affiliations":[{"id":17807,"text":"Frontier Geosciences, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":579291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olson, Mark L.","contributorId":149743,"corporation":false,"usgs":false,"family":"Olson","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":17808,"text":"University of Illinois, Champaign","active":true,"usgs":false}],"preferred":false,"id":579292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conroy, Mary E.","contributorId":149744,"corporation":false,"usgs":false,"family":"Conroy","given":"Mary","email":"","middleInitial":"E.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":579293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192652,"text":"70192652 - 2015 - Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","interactions":[],"lastModifiedDate":"2017-11-08T15:46:00","indexId":"70192652","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","docAbstract":"Global inventories of sediment discharge to the ocean highlight the importance of small, steep watersheds (i.e., those having drainage areas less than 100,000 km2 and over 1000 m of relief) that collectively provide a dominant flux of sediment. The smallest of these coastal watersheds (e.g., those that have drainage areas less than 1000 km2) can represent a large portion of the drainage areas of active margin coasts, such as California’s coast, but remain almost universally unmonitored. Here we report on the suspended-sediment discharge of several small coastal watersheds (10-56 km2) of the Santa Ynez Mountains, California, that were found to have ephemeral discharge and suspended-sediment concentrations ranging between 1 and over 200,000 mgL-1. Sediment concentrations were weakly correlated with discharge (r2 = 0.10–0.25), and all types of hysteresis patterns were observed during high flows (clockwise, counterclockwise, no hysteresis, and complex). Sediment discharge varied strongly with time and was measurably elevated in one watershed following a wildfire. Although sediment yields varied by over 100-fold across the watersheds (e.g., 15 – 2100 tkm-2 yr -1during the relatively wet 2005 water year), the majority of sediment discharge (65-80%) occurred during only 1% of the time for all watersheds. Furthermore, sampling of dozens of high flow events provides evidence that sediment yields were generally related to peak discharge yields, although these relationships were not consistent across the watersheds. These results suggest that small watersheds of active margins can provide large fluxes of sediment to the coast, but that the rates and timing of this sediment discharge is more irregular in time – and thus more difficult to characterize – than the better monitored and studied watersheds that are 1000-100,000 km2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.08.004","usgsCitation":"Warrick, J., Melack, J.M., and Goodridge, B.M., 2015, Sediment yields from small, steep coastal watersheds of California: Journal of Hydrology: Regional Studies, v. 4, no. Part B, p. 516-534, https://doi.org/10.1016/j.ejrh.2015.08.004.","productDescription":"19 p.","startPage":"516","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052345","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.08.004","text":"Publisher Index Page"},{"id":318770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.69305419921874,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 33.831638461142866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e2a8cce4b0f59b85d391b0","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melack, John M.","contributorId":167466,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodridge, Blair M.","contributorId":167467,"corporation":false,"usgs":false,"family":"Goodridge","given":"Blair","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187117,"text":"70187117 - 2015 - Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","interactions":[],"lastModifiedDate":"2018-09-04T16:28:10","indexId":"70187117","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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":"Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","docAbstract":"Natural perchlorate (ClO4−) is of increasing interest due to its wide-spread occurrence on Earth and Mars, yet little information exists on the relative abundance of ClO4− compared to other major anions, its stability, or long-term variations in production that may impact the observed distributions. Our objectives were to evaluate the occurrence and fate of ClO4− in groundwater and soils/caliche in arid and semi-arid environments (southwestern United States, southern Africa, United Arab Emirates, China, Antarctica, and Chile) and the relationship of ClO4− to the more well-studied atmospherically deposited anions NO3−and Cl− as a means to understand the prevalent processes that affect the accumulation of these species over various time scales. ClO4− is globally distributed in soil and groundwater in arid and semi-arid regions on Earth at concentrations ranging from 10−1to 106 μg/kg. Generally, the ClO4− concentration in these regions increases with aridity index, but also depends on the duration of arid conditions. In many arid and semi-arid areas, NO3− and ClO4− co-occur at molar ratios (NO3−/ClO4−) that vary between ∼104and 105. We hypothesize that atmospheric deposition ratios are largely preserved in hyper-arid areas that support little or no biological activity (e.g. plants or bacteria), but can be altered in areas with more active biological processes including N2 fixation, N mineralization, nitrification, denitrification, and microbial ClO4− reduction, as indicated in part by NO3− isotope data. In contrast, much larger ranges of Cl−/ClO4− and Cl−/NO3−ratios indicate Cl− varies independently from both ClO4− and NO3−. The general lack of correlation between Cl− and ClO4− or NO3− implies that Cl− is not a good indicator of co-deposition and should be used with care when interpreting oxyanion cycling in arid systems. The Atacama Desert appears to be unique compared to all other terrestrial locations having a NO3−/ClO4− molar ratio ∼103. The relative enrichment in ClO4−compared to Cl− or NO3− and unique isotopic composition of Atacama ClO4− may reflect either additional in-situ production mechanism(s) or higher relative atmospheric production rates in that specific region or in the geological past. Elevated concentrations of ClO4− reported on the surface of Mars, and its enrichment with respect to Cl− and NO3−, could reveal important clues regarding the climatic, hydrologic, and potentially biologic evolution of that planet. Given the highly conserved ratio of NO3−/ClO4− in non-biologically active areas on Earth, it may be possible to use alterations of this ratio as a biomarker on Mars and for interpreting major anion cycles and processes on both Mars and Earth, particularly with respect to the less-conserved NO3− pool terrestrially.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.05.016","usgsCitation":"Jackson, W., Bohlke, J., Andraski, B.J., Fahlquist, L.S., Bexfield, L.M., Eckardt, F.D., Gates, J.B., Davila, A.F., McKay, C.P., Rao, B., Sevanthi, R., Rajagopalan, S., Estrada, N., Sturchio, N.C., Hatzinger, P.B., Anderson, T.A., Orris, G.J., Betancourt, J.L., Stonestrom, D.A., Latorre, C., Li, Y., and Harvey, G.J., 2015, Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments: Geochimica et Cosmochimica Acta, v. 164, p. 502-522, https://doi.org/10.1016/j.gca.2015.05.016.","productDescription":"21 p.","startPage":"502","endPage":"522","ipdsId":"IP-065217","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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Flood hydrographs were quite reproducible--for sets of dams ranging in height from 0.55 m to 0.98 m--when the time datum was chosen as the time that the migrating headcut intersected the breach crest. Peak discharge increased almost linearly as a function of initial dam height. Early-time variability between flood hydrographs for nominally identical dams is probably a reflection of subtle experiment-to-experiment differences in groundwater hydrology and the interaction between surface water and groundwater.
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The InVEST Sediment Retention Model is based on common soil erosion models (e.g., USLE – Universal Soil Loss Equation) and determines which areas of the landscape contribute the greatest sediment loads to a hydrological network and conversely evaluate the ecosystem service of sediment retention on a watershed basis. In this study, we evaluate the accuracy and uncertainties for InVEST predictions of increased sedimentation after fire, using measured postfire sediment yields available for many watersheds throughout the western USA from an existing, published large database. We show that the model can be parameterized in a relatively simple fashion to predict post-fire sediment yield with accuracy. Our ultimate goal is to use the model to accurately predict variability in post-fire sediment yield at a watershed scale as a function of future wildfire conditions.
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Synthesis","active":true,"usgs":true}],"preferred":true,"id":564555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":564556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155119,"text":"sir20155101 - 2015 - Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","interactions":[],"lastModifiedDate":"2016-02-04T08:54:30","indexId":"sir20155101","displayToPublicDate":"2015-08-26T09:15:00","publicationYear":"2015","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":"2015-5101","title":"Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","docAbstract":"Digital flood-inundation maps for a total of 19.7 miles of the Grand River, the Red Cedar River, and Sycamore Creek were created by the U.S. Geological Survey (USGS) in cooperation with the City of Lansing, Michigan, and the U.S. Army Corps of Engineers. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, show estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at three USGS streamgages: Grand River at Lansing, MI (04113000), Red Cedar River at East Lansing, MI (04112500), and Sycamore Creek at Holt Road near Holt, MI (04112850). Near-real-time stages at these streamgages can be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at all of these sites.
\nEach set of flood profiles was computed by means of a one-dimensional step-backwater model. Each model was calibrated to the current stage-discharge relation at each streamgage and to water levels determined with stage sensors (pressure transducers) temporarily deployed along each stream reach. The hydraulic model was used to compute a set of water-surface profiles for flood stages from nearly Action Stage to above Major Flood stage, as reported by the National Weather Service. The computed water-surface profiles were then used in combination with a Geographic Information System digital elevation model derived from light detection and ranging (lidar) data to delineate the approximate areas flooded at each water level.
\nThese maps, used in conjunction with real-time USGS streamgage data and NWS forecasting, provide critical information to emergency management personnel and the public. This information is used to plan flood response actions, such as evacuations and road closures, as well as aid in postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155101","collaboration":"Prepared in cooperation with the City of Lansing; Michigan, and U.S. Army Corps of Engineers","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2015, Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan (ver. 1.1, February 2016: U.S. Geological Survey Scientific Investigations Report 2015–5101, 19 p.,\nhttps://dx.doi.org/10.3133/sir20155101.","productDescription":"Report: v, 19 p.; Downloads Directory","startPage":"1","endPage":"19","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064143","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":316374,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5101/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5101"},{"id":307510,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5101/downloads/sir20155101_lansing-mi-report-downloads.zip","text":"Downloads Directory","size":"1.15 GB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5101","linkHelpText":"Grids, Shapefiles, Metadata, and Ancillary Information"},{"id":307357,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5101/sir20155101.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5101"},{"id":307504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5101/coverthbr.jpg"}],"country":"United States","state":"Michigan","county":"Eaton County, Ingham County","city":"Lansing","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.87556457519531,\n 42.487795634680005\n ],\n [\n -84.87556457519531,\n 42.86589941517495\n ],\n [\n -84.39834594726562,\n 42.86589941517495\n ],\n [\n -84.39834594726562,\n 42.487795634680005\n ],\n [\n -84.87556457519531,\n 42.487795634680005\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted August 26, 2015; Version 1.1: February 2, 2016","contact":"Director, Michigan-Ohio Water Science Center
U.S. Geological Survey
6480 Doubletree Ave
Columbus, OH 43229–1111
http://oh.water.usgs.gov/
Prevailing theory suggests that stream temperature warms asymptotically in a downstream direction, beginning at the temperature of the source in the headwaters and leveling off downstream as it converges to match meteorological conditions. However, there have been few empirical examples of longitudinal patterns of temperature in large rivers due to a paucity of data. We constructed longitudinal thermal profiles (temperature versus distance) for 53 rivers in the Pacific Northwest (USA) using an extensive dataset of remotely sensed summertime river temperatures and classified each profile into one of five patterns of downstream warming: asymptotic (increasing then flattening), linear (increasing steadily), uniform (not changing), parabolic (increasing then decreasing), or complex (not fitting other classes). We evaluated (1) how frequently profiles warmed asymptotically downstream as expected, and (2) whether relationships between river temperature and common hydroclimatic variables differed by profile class. We found considerable diversity in profile shape, with 47% of rivers warming asymptotically, and 53% having alternative profile shapes. Water temperature did not warm substantially over the course of the river for coastal parabolic and uniform profiles, and for some linear and complex profiles. Profile classes showed no clear geographical trends. The degree of correlation between river temperature and hydroclimatic variables differed among profile classes, but there was overlap among classes. Water temperature in rivers with asymptotic or parabolic profiles was positively correlated with August air temperature, tributary temperature and velocity, and negatively correlated with elevation, August precipitation, gradient, and distance upstream. Conversely, associations were less apparent in rivers with linear, uniform, or complex profiles. Factors contributing to the unique shape of parabolic profiles differed for coastal and inland rivers, where downstream cooling was influenced locally by climate or cool water inputs, respectively. Potential drivers of shape for complex profiles were specific to each river. These thermal patterns indicate diverse thermal habitats that may promote resilience of aquatic biota to climate change. Without this spatial context, climate change models may incorrectly estimate loss of thermally suitable habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10506","usgsCitation":"Fullerton, A.H., Torgersen, C.E., Lawler, J.J., Faux, R.N., Steel, E.A., Beechie, T.J., Ebersole, J.L., and Leibowitz, S.J., 2015, Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures: Hydrological Processes, v. 29, no. 22, p. 4719-4737, https://doi.org/10.1002/hyp.10506.","productDescription":"19 p.","startPage":"4719","endPage":"4737","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1994-07-01","temporalEnd":"2007-08-31","ipdsId":"IP-055750","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.04858398437499,\n 49.009050809382046\n ],\n [\n -123.321533203125,\n 49.023461463214126\n ],\n [\n -123.211669921875,\n 48.22467264956519\n ],\n [\n -124.771728515625,\n 48.42920055556841\n ],\n [\n -124.71679687499999,\n 47.87214396888731\n ],\n [\n -124.024658203125,\n 45.85941212790755\n ],\n [\n -124.244384765625,\n 43.79488907226601\n ],\n [\n -124.661865234375,\n 42.90011265525328\n ],\n [\n -124.112548828125,\n 41.43449030894922\n ],\n [\n -124.508056640625,\n 40.38839687388361\n ],\n [\n -123.85986328124999,\n 39.740986355883564\n ],\n [\n -123.82690429687499,\n 38.882481197550774\n ],\n [\n -123.035888671875,\n 38.18638677411551\n ],\n [\n -118.78967285156249,\n 38.156156969924915\n ],\n [\n -119.99267578124999,\n 38.993572058209466\n ],\n [\n -119.9981689453125,\n 41.99624282178583\n ],\n [\n -111.0443115234375,\n 42.00848901572399\n ],\n [\n -111.04774475097656,\n 44.47446108518852\n ],\n [\n -116.04858398437499,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-14","publicationStatus":"PW","scienceBaseUri":"55dd83a5e4b0518e354dc717","contributors":{"authors":[{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":569469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":569468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":569470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faux, Russell N.","contributorId":146937,"corporation":false,"usgs":false,"family":"Faux","given":"Russell","email":"","middleInitial":"N.","affiliations":[{"id":16760,"text":"Watershed Sciences, Inc.","active":true,"usgs":false}],"preferred":false,"id":569471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steel, E. Ashley","contributorId":7589,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":569472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":569473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leibowitz, Scott J.","contributorId":146939,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569475,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156694,"text":"70156694 - 2015 - Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape","interactions":[],"lastModifiedDate":"2017-11-22T17:49:36","indexId":"70156694","displayToPublicDate":"2015-08-25T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape","docAbstract":"Amphibian species persisting in isolated streams and wetlands in desert environments can be susceptible to low connectivity, genetic isolation, and climate changes. We evaluated the past (1900–1930), recent (1981–2010), and future (2071–2100) climate suitability of the arid Great Basin (USA) for the Columbia spotted frog (Rana luteiventris) and assessed whether changes in surface water may affect connectivity for remaining populations. We developed a predictive model of current climate suitability and used it to predict the historic and future distribution of suitable climates. We then modeled changes in surface water availability at each time period. Finally, we quantified connectivity among existing populations on the basis of hydrology and correlated it with interpopulation genetic distance. We found that the area of the Great Basin with suitable climate conditions has declined by approximately 49% over the last century and will likely continue to decline under future climate scenarios. Climate conditions at currently occupied locations have been relatively stable over the last century, which may explain persistence at these sites. However, future climates at these currently occupied locations are predicted to become warmer throughout the year and drier during the frog's activity period (May – September). Fall and winter precipitation may increase, but as rain instead of snow. Earlier runoff and lower summer base flows may reduce connectivity between neighboring populations, which is already limited. Many of these changes could have negative effects on remaining populations over the next 50–80 years, but milder winters, longer growing seasons, and wetter falls might positively affect survival and dispersal. Collectively, however, seasonal shifts in temperature, precipitation, and stream flow patterns could reduce habitat suitability and connectivity for frogs and possibly other aquatic species inhabiting streams in this arid region.
","language":"English","publisher":"Blackwell Pub. Ltd.","publisherLocation":"Oxford","doi":"10.1002/ece3.1634","usgsCitation":"Pilliod, D., Arkle, R., Robertson, J.M., Murphy, M., and Funk, W.C., 2015, Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape: Ecology and Evolution, v. 5, no. 18, p. 3979-3994, https://doi.org/10.1002/ece3.1634.","productDescription":"16 p.","startPage":"3979","endPage":"3994","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059837","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1634","text":"Publisher Index Page"},{"id":307534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"55dee32fe4b0518e354e080b","chorus":{"doi":"10.1002/ece3.1634","url":"http://dx.doi.org/10.1002/ece3.1634","publisher":"Wiley-Blackwell","authors":"Pilliod David S., Arkle Robert S., Robertson Jeanne M., Murphy Melanie A., Funk W. Chris","journalName":"Ecology and Evolution","publicationDate":"8/26/2015","auditedOn":"10/2/2015"},"contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":147050,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":147051,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Jeanne M.","contributorId":147052,"corporation":false,"usgs":false,"family":"Robertson","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":16778,"text":"Biology Department, California State University Northbridge","active":true,"usgs":false}],"preferred":false,"id":570107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Melanie","contributorId":88239,"corporation":false,"usgs":true,"family":"Murphy","given":"Melanie","affiliations":[],"preferred":false,"id":570109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":570108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155290,"text":"sir20155099 - 2015 - Flood-inundation maps for the St. Marys River at Decatur, Indiana","interactions":[],"lastModifiedDate":"2015-09-23T09:37:03","indexId":"sir20155099","displayToPublicDate":"2015-08-24T15:15:00","publicationYear":"2015","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":"2015-5099","title":"Flood-inundation maps for the St. Marys River at Decatur, Indiana","docAbstract":"Digital flood-inundation maps for an 8.9-mile reach of the St. Marys River at Decatur, Indiana, were developed by the U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site (http://water.usgs.gov/osw/flood_inundation/), depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) of the St. Marys River at Decatur (USGS station number 04181500). The maps are useful for estimating near-real-time areas of inundation by referencing concurrent USGS streamgage information at http://waterdata.usgs.gov/. In addition, the streamgage information was provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service flood warning system (http:/water.weather.gov/ahps/). NWS-forecasted peak-stage information may be used in conjunction with the maps developed during this study to show predicted areas of flood inundation.
\nDuring this study, flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater model. The model was calibrated by using the stage-discharge relation for the streamgage at St. Marys River at Decatur. The hydraulic model was used to compute 18 water-surface profiles for flood stages varied at 1-foot (ft) intervals and ranging from approximately bankfull (13 ft above gage datum) to greater than the highest recorded water level at the streamgage. To delineate the area of flood inundation for each modeled water level, maps were constructed in a geographic information system by combining the simulated water-surface profiles with a digital-elevation model derived from light detection and ranging (lidar) data. Estimated flood-inundation boundaries along each simulated profile were developed using HEC–GeoRAS software.
\nThe availability of these maps and associated Web mapping tools, along with the current river stage from USGS streamgages and forecasted flood stages from the NWS, provides emergency managers and residents with information that may be critical for flood-emergency planning and flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155099","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Strauch, K.R., 2015, Flood-inundation maps for the St. Marys River at Decatur, Indiana: U.S. Geological Survey Scientific Investigations Report 2015–5099, 8 p., https://dx.doi.org/10.3133/sir20155099.","productDescription":"Report: iv, 8 p.; Metadata; Raw Data","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061185","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":308417,"rank":3,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/sir/2015/5099/downloads/sir2015-5099_grids.zip","text":"SIR 2015-5099 - All Grid Files","size":"38.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5099"},{"id":308418,"rank":4,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/sir/2015/5099/downloads/sir2015-5099_shapefiles.zip","text":"SIR 2015-5099 - All Shape Files","size":"1.43 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5099"},{"id":307017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5099/sir20155099.pdf","text":"Report","size":"1.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5099"},{"id":307016,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5099/coverthb.jpg"}],"country":"United States","state":"Indiana","county":"Adams","city":"Decatur","otherGeospatial":"St. Mary's River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.98268127441406,\n 40.897684312779774\n ],\n [\n -85.01117706298828,\n 40.869131967913475\n ],\n [\n -84.94869232177734,\n 40.82316279497129\n ],\n [\n -84.9074935913086,\n 40.80133575979201\n ],\n [\n -84.89959716796875,\n 40.7958778790764\n ],\n [\n -84.87419128417969,\n 40.817446884558805\n ],\n [\n -84.98268127441406,\n 40.897684312779774\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
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http://in.water.usgs.gov/
Daily records of streamflow are essential to understanding hydrologic systems and managing the interactions between human and natural systems. Many watersheds and locations lack streamgages to provide accurate and reliable records of daily streamflow. In such ungaged watersheds, statistical tools and rainfall-runoff models are used to estimate daily streamflow. Previous work compared 19 different techniques for predicting daily streamflow records in the southeastern United States. Here, five of the better-performing methods are compared in a different hydroclimatic region of the United States, in Iowa. The methods fall into three classes: (1) drainage-area ratio methods, (2) nonlinear spatial interpolations using flow duration curves, and (3) mechanistic rainfall-runoff models. The first two classes are each applied with nearest-neighbor and map-correlated index streamgages. Using a threefold validation and robust rank-based evaluation, the methods are assessed for overall goodness of fit of the hydrograph of daily streamflow, the ability to reproduce a daily, no-fail storage-yield curve, and the ability to reproduce key streamflow statistics. As in the Southeast study, a nonlinear spatial interpolation of daily streamflow using flow duration curves is found to be a method with the best predictive accuracy. Comparisons with previous work in Iowa show that the accuracy of mechanistic models with at-site calibration is substantially degraded in the ungaged framework.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155089","collaboration":"Prepared in cooperation with the Department of the Interior WaterSMART Program","usgsCitation":"Farmer, W.H., Knight, R.R., Eash, D.A., Hutchinson, K.J., Linhart, S.M., Christiansen, D.E., Archfield, S.A., Over, T.M., and Kiang, J.E., 2015, Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds: U.S. Geological Survey Scientific Investigations Report 2015–5089, 34 p., https://dx.doi.org/10.3133/sir20155089.","productDescription":"vii, 34 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064014","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":307083,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5089/sir20155089.pdf","text":"Report","size":"3.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5089"},{"id":307082,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5089/coverthb.jpg"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.39404296875,\n 44.59046718130883\n ],\n [\n -96.492919921875,\n 43.74728909225906\n ],\n [\n -96.70166015624999,\n 43.5326204268101\n ],\n [\n -96.778564453125,\n 43.01268088642034\n ],\n [\n -96.416015625,\n 42.3016903282445\n ],\n [\n -96.1962890625,\n 41.80407814427237\n ],\n [\n -96.1083984375,\n 41.28606238749825\n ],\n [\n -95.91064453125,\n 40.65563874006118\n ],\n [\n -95.8447265625,\n 40.57224011776902\n ],\n [\n -95.394287109375,\n 40.56389453066509\n ],\n [\n -94.04296874999999,\n 40.58058466412764\n ],\n [\n -92.79052734375,\n 40.54720023441049\n ],\n [\n -91.483154296875,\n 40.56389453066509\n ],\n [\n -91.16455078125,\n 40.613952441166596\n ],\n [\n -90.911865234375,\n 40.82212357516945\n ],\n [\n -90.791015625,\n 41.1455697310095\n ],\n [\n -90.54931640625,\n 41.36031866306708\n ],\n [\n -90.19775390625,\n 41.599013054830216\n ],\n [\n -89.97802734375,\n 41.95949009892465\n ],\n [\n -90.186767578125,\n 42.25291778330197\n ],\n [\n -90.72509765625,\n 42.771211138625894\n ],\n [\n -90.977783203125,\n 43.068887774169625\n ],\n [\n -91.087646484375,\n 43.35713822211053\n ],\n [\n -91.12060546875,\n 43.61221676817573\n ],\n [\n -91.29638671875,\n 44.01652134387754\n ],\n [\n -91.73583984374999,\n 44.34742225636393\n ],\n [\n -91.97753906249999,\n 44.52001001133986\n ],\n [\n -92.142333984375,\n 44.55916341529184\n ],\n [\n -96.39404296875,\n 44.59046718130883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Office of Surface Water
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA, 20192
http://water.usgs.gov/osw/
Global sea level is rising and may accelerate with continued fossil fuel consumption from industrial and population growth. In 2012, the U.S. Geological Survey conducted more than 30 training and feedback sessions with Federal, State, and nongovernmental organization (NGO) coastal managers and planners across the northern Gulf of Mexico coast to evaluate user needs, potential benefits, current scientific understanding, and utilization of resource aids and modeling tools focused on sea-level rise. In response to the findings from the sessions, this sea-level rise modeling handbook has been designed as a guide to the science and simulation models for understanding the dynamics and impacts of sea-level rise on coastal ecosystems. The review herein of decision-support tools and predictive models was compiled from the training sessions, from online research, and from publications. The purpose of this guide is to describe and categorize the suite of data, methods, and models and their design, structure, and application for hindcasting and forecasting the potential impacts of sea-level rise in coastal ecosystems. The data and models cover a broad spectrum of disciplines involving different designs and scales of spatial and temporal complexity for predicting environmental change and ecosystem response. These data and models have not heretofore been synthesized, nor have appraisals been made of their utility or limitations. Some models are demonstration tools for non-experts, whereas others require more expert capacity to apply for any given park, refuge, or regional application. A simplified tabular context has been developed to list and contrast a host of decision-support tools and models from the ecological, geological, and hydrological perspectives. Criteria were established to distinguish the source, scale, and quality of information input and geographic datasets; physical and biological constraints and relations; datum characteristics of water and land components; utility options for setting sea-level rise and climate change scenarios; and ease or difficulty of storing, displaying, or interpreting model output. Coastal land managers, engineers, and scientists can benefit from this synthesis of tools and models that have been developed for projecting causes and consequences of sea-level change on the landscape and seascape.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1815","collaboration":"Prepared in cooperation with the Department of the Interior Southeast Climate Science Center","usgsCitation":"Doyle, T.W., Chivoiu, Bogdan, and Enwright, N.M., 2015, Sea-level rise modeling handbook—Resource guide for coastal land managers, engineers, and scientists: U.S. Geological Survey Professional Paper 1815, 76 p.,\nhttps://dx.doi.org/10.3133/pp1815.","productDescription":"ix, 76 p.","numberOfPages":"89","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045332","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":307080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1815/pp1815.pdf","text":"Report","size":"7.47","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1815"},{"id":307079,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1815/coverthb.jpg"}],"contact":"Director, National Wetlands Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506
http://www.nwrc.usgs.gov/
Digital flood-inundation maps for a 7.7-mile reach of the White River at Petersburg, Indiana, were created by the U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at White River at Petersburg, Ind. (03374000). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (PTRI3).
\nFlood profiles were computed for the White River at Petersburg reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relations at the White River at Petersburg, Ind., and the White River above Petersburg, Ind. (03373890), gages. The calibrated hydraulic model was then used to compute 18 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each water level.
\nThe availability of these maps along with Internet information regarding current stage from the USGS streamgage at White River at Petersburg, Ind., and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155107","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Fowler, K.K., 2015, Flood-inundation maps for the White River at Petersburg, Indiana: U.S. Geological Survey Scientific Investigations Report 2015–5107, 11 p., https://dx.doi.org/10.3133/sir20155107.","productDescription":"Report: iv, 11 p.: Metadata: Readme: Spatial Data","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063334","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":306743,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5107/coverthb.jpg"},{"id":306746,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/shapefile/shapefile.zip","text":"Shapefiles","size":"4.51 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5107"},{"id":306744,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5107/sir20155107.pdf","text":"Report","size":"6.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5107"},{"id":306747,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/metadata_depth-grids.txt","text":"Metadata Depth Grids","size":"15.4 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5107"},{"id":306745,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/depth_grids/depth_grids.zip","text":"Depth Grids","size":"88.8 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5107"},{"id":306748,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/metadata_shapefiles.txt","text":"Metadata Shapefiles","size":"15.9 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5107"},{"id":306809,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/readme.pdf","text":"Information about the report - readme file","size":"26.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5107"}],"country":"United States","state":"Indiana","city":"Petersburg","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.34010696411133,\n 38.50666906026307\n ],\n [\n -87.34010696411133,\n 38.54198948702892\n ],\n [\n -87.22217559814453,\n 38.54198948702892\n ],\n [\n -87.22217559814453,\n 38.50666906026307\n ],\n [\n -87.34010696411133,\n 38.50666906026307\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
5957 Lakeside Blvd
Indianapolis, IN 46278
http://in.water.usgs.gov/
Digital flood-inundation maps for a 12.4-mile reach of Big Creek that extends from 260 feet above the McGinnis Ferry Road bridge to the U.S. Geological Survey (USGS) streamgage at Big Creek below Hog Wallow Creek at Roswell, Georgia (02335757), were developed by the USGS in cooperation with the cities of Alpharetta and Roswell, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Big Creek near Alpharetta, Georgia (02335700). Real-time stage information from this USGS streamgage may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood-warning system http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs for many streams where the USGS operates streamgages and provides flow data. The forecasted peak-stage information for the USGS streamgage at Big Creek near Alpharetta (02335700), available through the AHPS Web site, may be used in conjunction with the maps developed for this study to show predicted areas of flood inundation.
\nA one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers HEC–RAS software for Big Creek and was used to compute flood profiles for a 12.4-mile reach of Big Creek. The model was calibrated using the most current (2015) stage-discharge relations at two USGS streamgages on Big Creek: Big Creek near Alpharetta (02335700) and Big Creek below Hog Wallow Creek at Roswell (02335757). The hydraulic model was then used to simulate 19 water-surface profiles at 0.5-foot intervals at the Big Creek near Alpharetta streamgage. The profiles ranged from just above bankfull stage (6.0 feet) to approximately 1.95 feet above the highest recorded water level at the Alpharetta streamgage site (15.0 feet). The simulated water-surface profiles were then combined with a geographic information system digital elevation model—derived from light detection and ranging data having a 3.0-foot horizontal resolution—to delineate the area flooded at each 0.5-foot interval of stream stage.
\nThe availability of these maps, when combined with real-time stage information from USGS streamgages and forecasted stream stage from the NWS, provides emergency management personnel and residents with critical information during flood-response activities such as evacuations and road closures, in addition to post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3338","collaboration":"Prepared in cooperation with the cities of Alpharetta, and Roswell, Georgia","usgsCitation":"Musser, J.W., 2015, Flood-inundation maps for Big Creek from the McGinnis Ferry Road bridge to the confluence of Hog Wallow, Alpharetta and Roswell, Georgia: U.S. Geological Survey Scientific Investigations Map 3338, 19 sheets, 10-p. pamphlet, https://dx.doi.org/10.3133/sim3338.","productDescription":"Report: vi, 10 p.; 19 Sheets: 29.0 x 30.0 inches; Metadata; Raw Data","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065512","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":306705,"rank":21,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet19.pdf","text":"Sheet19 - Gage height of 15.0 feet and an elevation of 975.6 feet at streamgage 02335700","size":"18.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306704,"rank":20,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf//sim3338sheet18.pdf","text":"Sheet18 - 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720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
To better understand the fate and transport of neonicotinoid insecticides, water samples were collected from streams across the United States. In a nationwide study, at least one neonicotinoid was detected in 53 % of the samples collected, with imidacloprid detected most frequently (37 %), followed by clothianidin (24 %), thiamethoxam (21 %), dinotefuran (13 %), acetamiprid (3 %) and thiacloprid (0 %). Clothianidin and thiamethoxam concentrations were positively related to the percentage of the land use in cultivated crop production and imidacloprid concentrations were positively related to the percentage of urban area within the basin. Additional sampling was also conducted in targeted research areas to complement these national-scale results, including determining: (1) neonicotinoid concentrations during elevated flow conditions in an intensely agricultural region; (2) temporal patterns of neonicotinoids in heavily urbanised basins; (3) neonicotinoid concentrations in agricultural basins in a nationally important ecosystem; and (4) in-stream transport of neonicotinoids near a wastewater treatment plant. Across all study areas, at least one neonicotinoid was detected in 63 % of the 48 streams sampled.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/EN15061","usgsCitation":"Hladik, M., and Kolpin, D.W., 2015, First national-scale reconnaissance of neonicotinoid insecticides in streams across the USA: Environmental Chemistry, v. 13, no. 1, p. 12-20, https://doi.org/10.1071/EN15061.","productDescription":"9 p.","startPage":"12","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064508","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":306917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.22900390625,\n 26.03704188651584\n ],\n [\n 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