Lead shot from hunting adds the toxic metal to environments worldwide. The United States banned lead shot for hunting waterfowl in 1991 and 26 states have lead shot restrictions beyond those mandated for waterfowl hunting. The Minnesota Department of Natural Resources (MDNR) was interested in studying hunter attitudes about expanded restrictions on the use of lead shot for hunting small game to understand what communication strategies might increase public support for potential restrictions on lead shot. We mailed messages about lead shot, including 1,200 control messages and 400 of each of 9 treatment messages, and surveys to 4,800 resident small game hunters. We compared attitudes and intentions related to a possible ban among control and treatment groups. Compared to the control message, all treatment messages elicited more positive attitudes and intentions to support a ban. A basic factual message, messages with references to Ducks Unlimited, and a first-person narrative message generated the strongest support for a ban. Results also demonstrated a substantial relationship between the use of lead shot and response to persuasive messages supporting a ban.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.420","usgsCitation":"Schroeder, S., Fulton, D.C., Penning, W., and Doncarlos, K., 2012, Using persuasive messages to encourage hunters to support regulation of lead shot: Journal of Wildlife Management, v. 76, no. 8, p. 1528-1539, https://doi.org/10.1002/jwmg.420.","productDescription":"12 p.","startPage":"1528","endPage":"1539","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028015","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-05","publicationStatus":"PW","scienceBaseUri":"5757f065e4b04f417c24dd3e","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":637552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Penning, William","contributorId":171468,"corporation":false,"usgs":false,"family":"Penning","given":"William","email":"","affiliations":[],"preferred":false,"id":637553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doncarlos, Kathy","contributorId":171469,"corporation":false,"usgs":false,"family":"Doncarlos","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":637554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042480,"text":"70042480 - 2012 - Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010","interactions":[],"lastModifiedDate":"2017-11-22T16:06:12","indexId":"70042480","displayToPublicDate":"2015-09-01T01:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":56,"text":"Natural Resource Technical Report NPS/NCR/NCRO/NRTR","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2012/531","title":"Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010","docAbstract":"Fiscal year 2010 was the second full year of elk monitoring protocol implementation at Lewis and Clark National Historical Park (LEWI), part of the North Coast and Cascades Network (NCCN) Inventory and Monitoring program. Elk monitoring at Lewis and Clark NHP includes two components. Fecal pellet surveys at a systematic sample of points in the Fort Clatsop unit are intended to give quantitative estimates of relative use by elk in that unit. Driving surveys on specified routes in and near the Fort Clatsop unit are intended to provide an index of elk viewing opportunities on those roads.
\nFecal pellet surveys include a fall clearing session and a late winter sampling session. Fall clearing from November 9 to November 17, 2009 included visits to 67 survey points. Late winter sampling from March 1 to March 8 2010 included repeat visits to 65 of those same points, but not to two others that had hazardous access or were under water. We detected elk fecal pellets in 30 points in the fall and at 30 points in the late winter.
\nThree to four road surveys per month were conducted in each of the 12 months of fiscal year 2010 (i.e., October-December 2009 and January-September 2010). Data from those surveys will be entered, validated, certified, and analyzed following the acceptance of the peer-reviewed protocol and associated database.
\nData from FY09, FY10, and FY11 will be useful in the formal analyses of trend. Those three years of data will contribute to the preparation of a four-year analysis and report after only one more year. Quantitative estimates of relative use by elk throughout the Fort Clatsop unit will be provided in the four-year report in 2012. Those estimates will account for detection bias, which comes from an incomplete count of elk pellets that were present in the subplots at the time of survey.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cole, C., Griffin, P., and Jenkins, K., 2012, Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010: Natural Resource Technical Report NPS/NCR/NCRO/NRTR 2012/531, ix, 15 p.","productDescription":"ix, 15 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030480","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307941,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irmafiles.nps.gov/reference/holding/443983","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"UNITED STATES","state":"Oregon","otherGeospatial":"Lewis and Clark National Historic Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.92123222351074,\n 46.117811095069584\n ],\n [\n -123.92123222351074,\n 46.138273893429385\n ],\n [\n -123.87840270996094,\n 46.138273893429385\n ],\n [\n -123.87840270996094,\n 46.117811095069584\n ],\n [\n -123.92123222351074,\n 46.117811095069584\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba841e4b058f706e53a91","contributors":{"authors":[{"text":"Cole, Carla","contributorId":44809,"corporation":false,"usgs":true,"family":"Cole","given":"Carla","email":"","affiliations":[],"preferred":false,"id":571557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Paul pgriffin@usgs.gov","contributorId":140575,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":571558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt","contributorId":30681,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":571559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039513,"text":"70039513 - 2012 - Water monitoring to support the State of Illinois Governor's Drought Response Task Force -August 7, 2012","interactions":[],"lastModifiedDate":"2015-11-02T09:43:36","indexId":"70039513","displayToPublicDate":"2015-07-13T08:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Water monitoring to support the State of Illinois Governor's Drought Response Task Force -August 7, 2012","docAbstract":"The U.S. Geological Survey (USGS) collects streamflow, groundwater level, and water-quality data for the State of Illinois and the Nation. Much of these data are collected every 15 minutes (real-time) as a part of the national network, so that water-resource managers can make decisions in a timely and reliable manner. Coupled with modeling and other water-resource investigations, the USGS provides data to the State during droughts and other hydrologic events. The types of data, capabilities, and presentation of these materials are described in this document as USGS Real-Time Data, Supplementary Data Collection and Analysis, and National Resources Available.
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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389772e4b0d6133fe73019","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":147999,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":578976,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040761,"text":"70040761 - 2012 - Exploring relationships among land ownership, agricultural land use, and native fish species richness in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2015-11-02T10:47:15","indexId":"70040761","displayToPublicDate":"2015-06-09T05:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Exploring relationships among land ownership, agricultural land use, and native fish species richness in the Upper Mississippi River Basin","docAbstract":"The general effects of agriculture on in-stream fish communities in the Upper Midwestern United States have been well studied for nearly three decades (Karr et al. 1985; Nerbonne and Vondracek 1991; Zimmerman et al. 2001; Goldstein and Meador 2005). Specific impacts include: lowered water levels, sediment loading and nutrient enrichment, loss of riparian habitat, changes to channel morphometry and physical habitat, and changes to the forage base. As part of the National Fish Habitat Action Plan (NFHAP), an initiative to protect, restore, and enhance the nation's fish and aquatic communities, the Fishers and Farmers Partnership specifically focuses on working with agricultural producers to help protect and restore aquatic resources in the Upper Mississippi River Basin (UMRB) (Fig. 1). Successful protection and/or restoration will require the partnership and local conservation agencies to effectively communicate and work with local landowners. However, roughly 43% of the agricultural lands in the UMRB are not operated by those who own the land (National Agricultural Statistics Service 2009) and this is expected to increase as heirs of farm estates now reside greater distances from their home farms than ever before (Arbuckle 2010).
\nIt has long been presumed that changes in land ownership trends, toward more absentee landowners, would have important consequences for soil erosion and other conservation practices, as larger, more corporate agriculture, is thought to maximize farm income at the expense of environmental quality (Lee 1980). Absentee landowners may be less likely to take advantage of conservation programs. For example, land operated by renters lags enrollment in the Conservation Reserve (CRP) and Wetland Reserve (WRP) programs by 64% nation-wide (Petrzelka et al. 2009). Also, it has been found that the more detached an absentee landowner becomes from their land, both geographically and culturally, their commitment to land stewardship decreases (Arbuckle 2010). The Fishers and Farmers Partnership recognizes the challenge agricultural producers face in maintaining food and fiber production for a growing world population while also trying to improve environmental quality and fish habitat. This challenge is likely exacerbated when the landowners are absentee. Thus, reaching non-owner-operated farmers and convincing them to help protect and/or restore aquatic resources may be critical to the success of the Fishers and Farmers Partnership.
\nIn this study, we explored relationships among agricultural land use, land ownership, and native fish biodiversity in the UMRB as a first step toward helping the Fishers and Farmers Partnership identify specific locations in the UMRB that may pose conservation challenges. For example, places that have experienced a loss of native fish species richness relative to historical conditions and also have high proportions of absentee landowners may provide restoration challenges. We were also interested in identifying areas that have retained high levels of species richness and are owner-operated. These areas present good opportunities to work with local landowners to protect aquatic resources. To identify such areas, we addressed two primary questions: 1) Is there a relationship between the type of agricultural land use (i.e. cropland vs pastureland) and the % of land rented or leased within the UMRB? and 2) How does the type of agricultural production and whether land is rented or leased relate to the maintenance of historical levels of native fish species richness? We predicted that areas with large amounts of land devoted to crop production will have experienced the greatest losses of native fish species richness. However, our hypothesis is that watersheds with large amounts of land rented or leased will have experienced even greater declines in native fish species richness than would be predicted from the amount of cultivated cropland alone. By testing these hypotheses, we intended to identify watersheds that would be strong candidates for protection, restoration, and enhancement of fish species richness by accounting for land use and ownership characteristics.
\n","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"De Jager, N.R., and Rohweder, J.J., 2012, Exploring relationships among land ownership, agricultural land use, and native fish species richness in the Upper Mississippi River Basin, 12 p.","productDescription":"12 p.","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037133","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":310899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, South Dakota, Wisconsin","otherGeospatial":"Mississippi 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389751e4b0d6133fe72fb0","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":579001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. jrohweder@usgs.gov","contributorId":460,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":579002,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156679,"text":"70156679 - 2012 - Effects of groundwater pumping in the lower Apalachicola-Chattahoochee-Flint River basin","interactions":[],"lastModifiedDate":"2021-10-29T16:05:17.837044","indexId":"70156679","displayToPublicDate":"2015-03-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of groundwater pumping in the lower Apalachicola-Chattahoochee-Flint River basin","docAbstract":"
USGS developed a groundwater-flow model of the Upper Floridan aquifer in lower Apalachicola-Chattahoochee-Flint River basin in southwest Georgia and adjacent parts of Alabama and Florida to determine the effect of agricultural groundwater pumping on aquifer/stream flow within the basin. Aquifer/stream flow is the sum of groundwater outflow to and inflow from streams, and is an important consideration for water managers in the development of water-allocation and operating plans. Specifically, the model was used to evaluate how agricultural pumping relates to 7Q10 low streamflow, a statistical low flow indicative of drought conditions that would occur during seven consecutive days, on average, once every 10 years. Argus ONETM, a software package that combines a geographic information system (GIS) and numerical modeling in an Open Numerical Environment, facilitated the design of a detailed finite-element mesh to represent the complex geometry of the stream system in the lower basin as a groundwater-model boundary. To determine the effects on aquifer/stream flow of pumping at different locations within the model area, a pumping rate equivalent to a typical center-pivot irrigation system (50,000 ft3/d) was applied individually at each of the 18,951 model nodes in repeated steady-state simulations that were compared to a base case representing drought conditions during October 1999. Effects of nodal pumping on aquifer/stream flow and other boundary flows, as compared with the base-case simulation, were computed and stored in a response matrix. Queries to the response matrix were designed to determine the sensitivity of targeted stream reaches to agricultural pumping. Argus ONE enabled creation of contour plots of query results to illustrate the spatial variation across the model area of simulated aquifer/streamflow reductions, expressed as a percentage of the long-term 7Q10 low streamflow at key USGS gaging stations in the basin. These results would enable water managers to assess the relative impact of agricultural pumping and drought conditions on streamflow throughout the basin, and to develop mitigation strategies to conserve water resources and preserve aquatic habitat.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"GIS and water resources VII: Proceedings of the American Water Resources Association 2012 Spring Specialty Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"American Water Resources Association 2012 Spring Specialty Conference: GIS and Water Resources VII","conferenceDate":"March 26-28, 2012","conferenceLocation":"New Orleans, Louisiana","language":"English","publisher":"American Water Resources Association","usgsCitation":"Jones, L.E., 2012, Effects of groundwater pumping in the lower Apalachicola-Chattahoochee-Flint River basin, in GIS and water resources VII: Proceedings of the American Water Resources Association 2012 Spring Specialty Conference, New Orleans, Louisiana, March 26-28, 2012, 56 p.","productDescription":"56 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035295","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Florida","otherGeospatial":"Lower Apalachicola-Chattahoochee-Flint River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.242919921875,\n 29.707139348134145\n ],\n [\n -85.23193359375,\n 31.5504526754715\n ],\n [\n -83.5400390625,\n 32.685619853722\n ],\n [\n -83.2049560546875,\n 32.88420028540548\n ],\n [\n -82.5567626953125,\n 32.44488496716713\n ],\n [\n -82.650146484375,\n 31.667408317080916\n ],\n [\n -83.5345458984375,\n 30.91636380602182\n ],\n [\n -84.22119140625,\n 30.4060442699695\n ],\n [\n -84.4354248046875,\n 29.940655389125002\n ],\n [\n -85.2044677734375,\n 29.635545914466675\n ],\n [\n -85.242919921875,\n 29.707139348134145\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b1e4b0518e354dd154","contributors":{"authors":[{"text":"Jones, L. Elliott 0000-0002-7394-2053 lejones@usgs.gov","orcid":"https://orcid.org/0000-0002-7394-2053","contributorId":4491,"corporation":false,"usgs":true,"family":"Jones","given":"L.","email":"lejones@usgs.gov","middleInitial":"Elliott","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":569934,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70136255,"text":"70136255 - 2012 - Long-distance swimming by polar bears (Ursus maritimus) of the southern Beaufort Sea during years of extensive open water","interactions":[],"lastModifiedDate":"2018-09-25T13:27:17","indexId":"70136255","displayToPublicDate":"2014-12-30T11:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Long-distance swimming by polar bears (Ursus maritimus) of the southern Beaufort Sea during years of extensive open water","docAbstract":"Polar bears (Ursus maritimus Phipps, 1774) depend on sea ice for catching marine mammal prey. Recent sea-ice declines have been linked to reductions in body condition, survival, and population size. Reduced foraging opportunity is hypothesized to be the primary cause of sea-ice-linked declines, but the costs of travel through a deteriorated sea-ice environment also may be a factor. We used movement data from 52 adult female polar bears wearing Global Positioning System (GPS) collars, including some with dependent young, to document long-distance swimming (>50 km) by polar bears in the southern Beaufort and Chukchi seas. During 6 years (2004-2009), we identified 50 long-distance swims by 20 bears. Swim duration and distance ranged from 0.7 to 9.7 days (mean = 3.4 days) and 53.7 to 687.1 km (mean = 154.2 km), respectively. Frequency of swimming appeared to increase over the course of the study. We show that adult female polar bears and their cubs are capable of swimming long distances during periods when extensive areas of open water are present. However, long-distance swimming appears to have higher energetic demands than moving over sea ice. Our observations suggest long-distance swimming is a behavioral response to declining summer sea-ice conditions.
","language":"English","publisher":"National Research Council of Canada","publisherLocation":"Ottawa, Canada","doi":"10.1139/Z2012-033","usgsCitation":"Pagano, A.M., Durner, G.M., Simac, K.S., York, G., and Amstrup, S.C., 2012, Long-distance swimming by polar bears (Ursus maritimus) of the southern Beaufort Sea during years of extensive open water: Canadian Journal of Zoology, v. 90, no. 5, p. 663-676, https://doi.org/10.1139/Z2012-033.","productDescription":"14 p.","startPage":"663","endPage":"676","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035037","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296931,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a93e4b08de9379b3106","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":746233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":746234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":746236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"York, G.S.","contributorId":103857,"corporation":false,"usgs":true,"family":"York","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":746237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":746238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042632,"text":"70042632 - 2012 - Near-bed turbulence and sediment flux measurements in tidal channels","interactions":[],"lastModifiedDate":"2016-06-29T10:49:34","indexId":"70042632","displayToPublicDate":"2014-09-16T13:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near-bed turbulence and sediment flux measurements in tidal channels","docAbstract":"Understanding the hydrodynamics and sediment transport dynamics in tidal channels is important for studies of estuary geomorphology, sediment supply to tidal wetlands, aquatic ecology and fish habitat, and dredging and navigation. Hydrodynamic and sediment transport data are essential for calibration and testing of numerical models that may be used to address management questions related to these topics. Herein we report preliminary analyses of near-bed turbulence and sediment flux measurements in the Sacramento-San Joaquin Delta, a large network of tidal channels and wetlands located at the confluence of the Sacramento and San Joaquin Rivers, California, USA (Figure 1). Measurements were made in 6 channels spanning a wide range of size and tidal conditions, from small channels that are primarily fluvial to large channels that are tidally dominated. The results of these measurements are summarized herein and the hydrodynamic and sediment transport characteristics of the channels are compared across this range of size and conditions.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Hydraulic Measurement and Experimental Methods Conference, Snowbird, Utah, August 12-15, 2012","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Hydraulic Measurement and Experimental Methods Conference","conferenceDate":"August 12, 2012","conferenceLocation":"Snowbird, Utah","language":"English","publisherLocation":"Reston, VA","usgsCitation":"Wright, S., and Whealdon-Haught, D., 2012, Near-bed turbulence and sediment flux measurements in tidal channels, in Proceedings of the Hydraulic Measurement and Experimental Methods Conference, Snowbird, Utah, August 12-15, 2012, Snowbird, Utah, August 12, 2012, 6 p.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038033","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":324597,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ca.water.usgs.gov/projects/baydelta/publications.html"},{"id":324598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.86035156249999,\n 38.098901948321256\n ],\n [\n -121.85760498046875,\n 38.01239425385966\n ],\n [\n -121.55273437499999,\n 37.95827503526034\n ],\n [\n -121.46347045898438,\n 37.966936792535144\n ],\n [\n -121.47720336914062,\n 38.25974980039479\n ],\n [\n -121.8878173828125,\n 38.23386541556983\n ],\n [\n -121.86035156249999,\n 38.098901948321256\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774f2a1e4b07dd077c6a780","contributors":{"authors":[{"text":"Wright, S.A.","contributorId":90080,"corporation":false,"usgs":true,"family":"Wright","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":640594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whealdon-Haught, D.R.","contributorId":172409,"corporation":false,"usgs":false,"family":"Whealdon-Haught","given":"D.R.","affiliations":[],"preferred":false,"id":640595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70073502,"text":"70073502 - 2012 - Testing the effect of water in crevasses on a physically based calving model","interactions":[],"lastModifiedDate":"2018-07-07T18:08:12","indexId":"70073502","displayToPublicDate":"2014-01-01T09:20:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":794,"text":"Annals of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the effect of water in crevasses on a physically based calving model","docAbstract":"A new implementation of a calving model, using the finite-element code Elmer, is presented and used to investigate the effects of surface water within crevasses on calving rate. For this work, we use a two-dimensional flowline model of Columbia Glacier, Alaska. Using the glacier's 1993 geometry as a starting point, we apply a crevasse-depth calving criterion, which predicts calving at the location where surface crevasses cross the waterline. Crevasse depth is calculated using the Nye formulation. We find that calving rate in such a regime is highly dependent on the depth of water in surface crevasses, with a change of just a few meters in water depth causing the glacier to change from advancing at a rate of 3.5 km a-1 to retreating at a rate of 1.9 km a-1. These results highlight the potential for atmospheric warming and surface meltwater to trigger glacier retreat, but also the difficulty of modeling calving rates, as crevasse water depth is difficult to determine either by measurement in situ or surface mass-balance modelling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Glaciology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Glaciological Society","doi":"10.3189/2012AoG60A107","usgsCitation":"Cook, S., Zwinger, T., Rutt, I., O’Neel, S., and Murray, T., 2012, Testing the effect of water in crevasses on a physically based calving model: Annals of Glaciology, v. 53, no. 60, p. 90-96, https://doi.org/10.3189/2012AoG60A107.","productDescription":"7 p.","startPage":"90","endPage":"96","ipdsId":"IP-033017","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/2012aog60a107","text":"Publisher Index Page"},{"id":281498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281496,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3189/2012AoG60A107"}],"country":"United States","state":"Alaska","otherGeospatial":"Columbia Glacier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.30,60.30 ], [ -147.30,61.30 ], [ -146.30,61.30 ], [ -146.30,60.30 ], [ -147.30,60.30 ] ] ] } } ] }","volume":"53","issue":"60","noUsgsAuthors":false,"publicationDate":"2017-09-14","publicationStatus":"PW","scienceBaseUri":"53cd76a3e4b0b2908510b090","contributors":{"authors":[{"text":"Cook, S.","contributorId":26225,"corporation":false,"usgs":true,"family":"Cook","given":"S.","affiliations":[],"preferred":false,"id":488836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwinger, T.","contributorId":82612,"corporation":false,"usgs":true,"family":"Zwinger","given":"T.","email":"","affiliations":[],"preferred":false,"id":488839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutt, I.C.","contributorId":82613,"corporation":false,"usgs":true,"family":"Rutt","given":"I.C.","email":"","affiliations":[],"preferred":false,"id":488840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":488837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, T.","contributorId":59304,"corporation":false,"usgs":true,"family":"Murray","given":"T.","email":"","affiliations":[],"preferred":false,"id":488838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169149,"text":"70169149 - 2012 - Spread dynamics of perennial pepperweed (Lepidium latifolium) in two seasonal wetland areas","interactions":[],"lastModifiedDate":"2016-03-23T10:52:44","indexId":"70169149","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Spread dynamics of perennial pepperweed (Lepidium latifolium) in two seasonal wetland areas","docAbstract":"Perennial pepperweed is an invasive plant that is expanding rapidly in several plant communities in the western United States. In California, perennial pepperweed has aggressively invaded seasonal wetlands, resulting in degradation of habitat quality. We evaluated the rate and dynamics of population spread, assessed the effect of disturbance on spread, and determined the biotic and abiotic factors influencing the likelihood of invasion. The study was conducted at eight sites within two wetland regions of California. Results indicate that in undisturbed sites, spread was almost exclusively through vegetative expansion, and the average rate of spread was 0.85 m yr−1 from the leading edge. Spread in sites that were disked was more than three times greater than in undisturbed sites. While smaller infestations increased at a faster rate compared with larger populations, larger infestations accumulated more newly infested areas than smaller infestations from year to year. Stem density was consistently higher in the center of the infestations, with about 2.4 times more stems per square meter compared with the leading edge at the perimeter of the population. The invasion by perennial pepperweed was positively correlated with increased water availability but was negatively correlated with the cover of perennial and annual species. Thus, high cover of resident vegetation can have a suppressive effect on the rate of invasion, even in wetland ecosystems. On the basis of these results, we recommend that resident plant cover not be disturbed, especially in wet areas adjacent to areas currently infested with perennial pepperweed. For infested areas, management efforts should be prioritized to focus on controlling satellite populations as well as the leading edge of larger infestations first. This strategy could reduce the need for costly active restoration efforts by maximizing the probability of successful re-establishment of resident vegetation from the adjacent seedbank.
","language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-11-00039.1","usgsCitation":"Renz, M.J., Steinmaus, S.J., Gilmer, D.S., and DiTomaso, J.M., 2012, Spread dynamics of perennial pepperweed (Lepidium latifolium) in two seasonal wetland areas: Invasive Plant Science and Management, v. 5, no. 1, p. 57-68, https://doi.org/10.1614/IPSM-D-11-00039.1.","productDescription":"12 p.","startPage":"57","endPage":"68","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030113","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1614/ipsm-d-11-00039.1","text":"Publisher Index Page"},{"id":319209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"56f3be51e4b0f59b85e02f0d","contributors":{"authors":[{"text":"Renz, Mark J.","contributorId":167709,"corporation":false,"usgs":false,"family":"Renz","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":623224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinmaus, Scott J.","contributorId":167710,"corporation":false,"usgs":false,"family":"Steinmaus","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":24812,"text":"Cal Poly San Luis Obispo","active":true,"usgs":false}],"preferred":false,"id":623225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmer, David S.","contributorId":59508,"corporation":false,"usgs":true,"family":"Gilmer","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":623223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiTomaso, Joseph M.","contributorId":72925,"corporation":false,"usgs":true,"family":"DiTomaso","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155849,"text":"70155849 - 2012 - Complexity of human and ecosystem interactions in an agricultural landscape","interactions":[],"lastModifiedDate":"2015-08-13T09:41:44","indexId":"70155849","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1532,"text":"Environmental Development","active":true,"publicationSubtype":{"id":10}},"title":"Complexity of human and ecosystem interactions in an agricultural landscape","docAbstract":"The complexity of human interaction in the commercial agricultural landscape and the resulting impacts on the ecosystem services of water quality and quantity is largely ignored by the current agricultural paradigm that maximizes crop production over other ecosystem services. Three examples at different spatial scales (local, regional, and global) are presented where human and ecosystem interactions in a commercial agricultural landscape adversely affect water quality and quantity in unintended ways in the Delta of northwestern Mississippi. In the first example, little to no regulation of groundwater use for irrigation has caused declines in groundwater levels resulting in loss of baseflow to streams and threatening future water supply. In the second example, federal policy which subsidizes corn for biofuel production has encouraged many producers to switch from cotton to corn, which requires more nutrients and water, counter to national efforts to reduce nutrient loads to the Gulf of Mexico and exacerbating groundwater level declines. The third example is the wholesale adoption of a system for weed control that relies on a single chemical, initially providing many benefits and ultimately leading to the widespread occurrence of glyphosate and its degradates in Delta streams and necessitating higher application rates of glyphosate as well as the use of other herbicides due to increasing weed resistance. Although these examples are specific to the Mississippi Delta, analogous situations exist throughout the world and point to the need for change in how we grow our food, fuel, and fiber, and manage our soil and water resources.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.envdev.2012.09.009","usgsCitation":"Coupe, R.H., Barlow, J.R., and Capel, P.D., 2012, Complexity of human and ecosystem interactions in an agricultural landscape: Environmental Development, v. 4, p. 88-104, https://doi.org/10.1016/j.envdev.2012.09.009.","productDescription":"17 p.","startPage":"88","endPage":"104","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030203","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":306627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.12109375,\n 37.10776507118514\n ],\n [\n -89.736328125,\n 37.37015718405753\n ],\n [\n -90.90087890624999,\n 36.50963615733049\n ],\n [\n -91.56005859375,\n 35.47856499535729\n ],\n [\n -92.28515625,\n 34.79576153473033\n ],\n [\n -92.10937499999999,\n 34.19817309627726\n ],\n [\n -91.60400390625,\n 33.7243396617476\n ],\n [\n -91.58203125,\n 33.119150226768866\n ],\n [\n -92.1533203125,\n 32.62087018318113\n ],\n [\n -92.13134765625,\n 32.11980111179328\n ],\n [\n -91.845703125,\n 31.784216884487385\n ],\n [\n -91.42822265625,\n 31.541089879585808\n ],\n [\n -90.85693359375,\n 32.342841356393045\n ],\n [\n -90.2197265625,\n 33.119150226768866\n ],\n [\n -90.02197265625,\n 33.687781758439364\n ],\n [\n -90.02197265625,\n 34.488447837809304\n ],\n [\n -90.087890625,\n 35.04798673426734\n ],\n [\n -89.20898437499999,\n 36.56260003738548\n ],\n [\n -89.01123046875,\n 36.949891786813296\n ],\n [\n -89.12109375,\n 37.10776507118514\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfade4b08400b1fe13de","contributors":{"authors":[{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":566596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205864,"text":"70205864 - 2012 - Physical Climate Forces","interactions":[{"subject":{"id":70205864,"text":"70205864 - 2012 - Physical Climate Forces","indexId":"70205864","publicationYear":"2012","noYear":false,"chapter":"2","title":"Physical Climate Forces"},"predicate":"IS_PART_OF","object":{"id":70048737,"text":"70048737 - 2012 - Coastal impacts, adaptation, and vulnerabilities: a technical input to the 2013 National Climate Assessment","indexId":"70048737","publicationYear":"2012","noYear":false,"title":"Coastal impacts, adaptation, and vulnerabilities: a technical input to the 2013 National Climate Assessment"},"id":1}],"isPartOf":{"id":70048737,"text":"70048737 - 2012 - Coastal impacts, adaptation, and vulnerabilities: a technical input to the 2013 National Climate Assessment","indexId":"70048737","publicationYear":"2012","noYear":false,"title":"Coastal impacts, adaptation, and vulnerabilities: a technical input to the 2013 National Climate Assessment"},"lastModifiedDate":"2019-10-08T16:24:10","indexId":"70205864","displayToPublicDate":"2013-10-08T16:02:11","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"2","title":"Physical Climate Forces","docAbstract":"Key Findings
The coasts of the U.S. are home to many large urban centers and important infrastructure such seaports, airports, transportation routes, oil import and refining facilities, power plants, and military bases. All are vulnerable to varying degrees to impacts of global warming such as sea-level rise, storms, and flooding. High Confidence.
Physical observations collected over the past several decades from the land, coasts, oceans, and the atmosphere, as well as environmental indicators, show that warming and some related environmental changes are occurring globally at rates greater than can be expected due to natural processes. These climate-related changes are highly varied, but some are likely due in large part to anthropogenically increased atmospheric concentrations of greenhouse gases and altered land surface properties. High Confidence.
Findings from many independent scientific studies conclude that these changes are consistent with global warming. The primary changes observed are rising sea level and average global air, land, and ocean temperatures; heightening temperature and precipitation extremes in some regions; and increasing levels of oceans acidification and rates of glacier and ice sheet melt. High Confidence.
Most coastal landforms, such as barrier islands, deltas, bays, estuaries, wetlands, coral reefs, are highly dynamic and sensitive to even small changes in physical
forces and feedbacks such as warming, storms, ocean circulation, waves and currents, flooding, sediment budgets, and sea-level rise. High Confidence.
The effects of sea-level rise on coasts vary considerably from region-to-region and over a range of spatial and temporal scales. Land subsidence in certain locations causes relative sea-level rise to exceed global mean sea-level rise. Land uplift such as that found in Alaska and the Northwestern Pacific coast can reduce effects of global mean rise. The effects will be greatest and most immediate on low-relief, low-elevation parts of the U.S. coast along the Gulf of Mexico, mid-Atlantic states, northern Alaska, Hawaii, and island territories and especially on coasts containing deltas, coastal plains, tidal wetlands, bays, estuaries, and coral reefs. Beaches and wetlands on steep cliff coasts and shores backed with seawalls may be unable to move landward or maintain their landform with sea-level rise. Many areas of the coast are especially vulnerable because of the often detrimental effects of development on natural processes. High Confidence.
The gradual inundation from recent sea-level rise is evident in many regions such as the mid-Atlantic and Louisiana where high tides regularly flood roads and areas that were previously dry, and in stands of “ghost forests,” in which trees are killed by intrusion of brackish water. High Confidence.
Sea level change and storms are dominant driving forces of coastal change as observed in the geologic record of coastal landforms. Increasingly, sea-level rise will become a hazard for coastal regions because of continued global mean sea-level rise, including possibly accelerated rates of rise that increase risk to coastal regions. As the global climate continues to warm and ice sheets melt, coasts will become more dynamic and coastal cities and low-lying areas will be increasingly exposed to erosion, inundation, and flooding. High Confidence.
No coordinated, interagency process exists in the U.S. for identifying agreed upon global mean sea-level rise projections for the purpose of coastal planning, policy, or management, even though this is a critical first step in assessing coastal impacts and vulnerabilities. High Confidence.
Global sea level rose at a rate of 1.7 millimeters/year during the 20th century. The rate has increased to over 3 millimeters/year in the past 20 years and scientific studies suggest high confidence (>9 in 10 chance) that global mean sea level will rise 0.2 to 2 meters by the end of this century. Some regions such as Louisiana and the Chesapeake Bay will experience greater relative rise due to factors such as land subsidence, gravitational redistribution of ice-sheet meltwater, ocean circulation changes, and regional ocean thermostatic effects. Other regions undergoing land uplift, such as Alaska, will experience lesser sea-level rise. High Confidence.
Variability in the location and time-of-year of storm genesis can influence landfalling storm characteristics, and even small changes can lead to large changes in landfalling location and impact. Although scientists have only low confidence in the sign of projected changes to the coast of storm-related hazards that depend on a combination of factors such as frequency, track, intensity, and storm size, any sea-level rise is virtually certain to exacerbate storm-related hazards. High Confidence.
Although sea-level rise and climate change have occurred in the past, the increasing human presence in the coastal zone will make the impacts different
for the future. Land use and other human activities often inhibit the natural response of physical processes and adaptation by plants and animals. In some
areas, erosion and wetland loss are common because sediment budgets have been reduced, while, in other regions, excess sediment is in-filling harbors, channels, and bays. High Confidence.
Observations continue to indicate an ongoing, warming-induced intensification of the hydrologic cycle that will likely result in heavier precipitation events and, combined with sea-level rise and storm surge, an increased flooding severity in some coastal areas, particularly the northeast U.S. Moderate Confidence.
Temperature is primarily driving environmental change in the Alaskan coastal zone. Sea ice and permafrost make northern regions particularly susceptible to temperature change. For example, an increase of two degrees Celsius could basically transform much of Alaska from frozen to unfrozen, with extensive implications. Portions of the north and west coast of Alaska are seeing dramatic increases in the rate of coastal erosion and flooding due to sea ice loss and permafrost melting. As a consequence, several coastal communities are planning to relocate to safer locations. Relocation is a difficult decision that is likely to become more common in the future for many coastal regions. High Confidence.
Methane is a primary greenhouse gas. Large reserves of methane are bound-up in Alaska’s frozen permafrost. These are susceptible to disturbance and methane
release if the Arctic continues to warm. The additional methane released may result in even greater greenhouse warming of the atmosphere. High Confidence.
Summarizing his colonial nesting waterbird survey experiences along the northern \ncoast of the Gulf of Mexico in a paper presented to the Colonial Waterbird Group of the \nWaterbird Society (Portnoy 1978), bird biologist John W. Portnoy stated, “This huge \nconcentration of nesting waterbirds, restricted almost entirely to the wetlands and \nestuaries of southern Louisiana, is unmatched in all of North America; for example, a \n1975 inventory of wading birds along the Atlantic Coast from Maine to Florida [Custer \nand Osborn, in press], tallied 250,000 breeding [waterbirds] of 14 species, in contrast \nwith the 650,000 birds of 15 species just from Sabine Pass to Mobile Bay.” The “650,000 \nbirds” to which Portnoy referred, were tallied by him in a 1976 survey of coastal \nLouisiana, Mississippi, and Alabama (see below, under “Major Surveys” section).
\nAccording to the National Atlas of Coastal Waterbird Colonies in the Contiguous \nUnited States: 1976-82 (Spendelow and Patton 1988), the percentages of the total U.S. \npopulations of Laughing Gull (11%), Forster's Tern (52%), Royal Tern (16%), Sandwich \nTern (77%), and Black Skimmer (44%) which annually nest in Louisiana are significant – \nperhaps crucially so in the cases of Forster's Tern, Sandwich Tern, and Black Skimmer.
\nNearly three decades after Spendelow and Patton's determinations above, coastal \nLouisiana still stands out as the major center of colonial wading bird and seabird nesting \nin all of the United States. Within those three intervening decades, however, the\ncollective habitats which comprise Louisiana's now fragile coastal zone have taken major \nhits from commercial/residential, oil & gas, and other industrial development, primarily \nin the form of coastal erosion exacerbated by these and other factors (Portnoy 1978, \nSpendelow and Patton 1988, Martin and Lester 1990, Green, et al. 2006). Moreover, \nduring this same period, both geologic subsidence rates (Tornqvist et al. 2008) and mean \nsea-level (Tornqvist et al. 2002) have increased, along with significant tropical storm \nactivity; all of which have combined to impact available marsh, barrier island, beach, and \ndredge spoil nesting habitat for waterbirds, especially seabirds, throughout the coastal \nzone of Louisiana.
\nThe primary objective of this publication is to detail those coastal Louisiana \ncolonial seabird nesting sites for which we have reasonably accurate data, in a tabular, \nsite-by-site format. All major survey (1976-2008) data of site-by-site seabird species \ncounts, as well as several smaller data sets, referred to in the site history tables as \n“miscellaneous observations” obtained during the May-June seabird breeding period, are \nincluded.
\nIt is our hope that these data will provide a dependable foundation from which \nfuture colonial seabird nesting surveys might be planned and carried out, as well as \nshowcase the importance of coastal Louisiana's seabird rookeries, and contribute to their \nconservation.
","language":"English","publisher":"Barataria-Terrebonne National Estuary Program","publisherLocation":"Thibodaux, LA","usgsCitation":"Fontenot, W.R., Cardiff, S.W., DeMay, R.A., Dittmann, D.L., Hartley, S.B., Jeske, C.W., Lorenz, N., Michot, T.C., Purrington, R.D., Seymour, M.A., and Vermillion, W.G., 2012, A catalog of Louisiana's nesting seabird colonies: Barataria-Terrebonne National Estuary Program Report 34, Report: 149 p.; Appendices.","productDescription":"Report: 149 p.; Appendices","numberOfPages":"237","ipdsId":"IP-045533","costCenters":[],"links":[{"id":279157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356898,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://cdm16313.contentdm.oclc.org/digital/collection/p267101coll4/id/25523"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.9661,28.8639 ], [ -93.9661,31.1752 ], [ -88.7146,31.1752 ], [ -88.7146,28.8639 ], [ -93.9661,28.8639 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96a9e4b0c629af44dd8c","contributors":{"authors":[{"text":"Fontenot, William R.","contributorId":102372,"corporation":false,"usgs":true,"family":"Fontenot","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardiff, Steve W.","contributorId":73492,"corporation":false,"usgs":true,"family":"Cardiff","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeMay, Richard A.","contributorId":68641,"corporation":false,"usgs":true,"family":"DeMay","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dittmann, Donna L.","contributorId":17523,"corporation":false,"usgs":true,"family":"Dittmann","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartley, Stephen B. 0000-0003-1380-2769 hartleys@usgs.gov","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":4164,"corporation":false,"usgs":true,"family":"Hartley","given":"Stephen","email":"hartleys@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":481163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeske, Clinton W. jeskec@usgs.gov","contributorId":2982,"corporation":false,"usgs":true,"family":"Jeske","given":"Clinton","email":"jeskec@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":481162,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenz, Nicole","contributorId":16740,"corporation":false,"usgs":true,"family":"Lorenz","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":481165,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michot, Thomas C. 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":57935,"corporation":false,"usgs":true,"family":"Michot","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Purrington, Robert Dan","contributorId":11932,"corporation":false,"usgs":true,"family":"Purrington","given":"Robert","email":"","middleInitial":"Dan","affiliations":[],"preferred":false,"id":481164,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seymour, Michael A.","contributorId":38886,"corporation":false,"usgs":false,"family":"Seymour","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481168,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vermillion, William G.","contributorId":36042,"corporation":false,"usgs":true,"family":"Vermillion","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":481167,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70120698,"text":"70120698 - 2012 - Developing a national stream morphology data exchange: needs, challenges, and opportunities","interactions":[],"lastModifiedDate":"2014-08-15T15:14:43","indexId":"70120698","displayToPublicDate":"2013-08-15T14:41:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Developing a national stream morphology data exchange: needs, challenges, and opportunities","docAbstract":"Stream morphology data, primarily consisting of channel and foodplain geometry and bed material size measurements, historically have had a wide range of applications and uses including culvert/ bridge design, rainfall- runoff modeling, food inundation mapping (e.g., U.S. Federal Emergency Management Agency food insurance studies), climate change studies, channel stability/sediment source investigations, navigation studies, habitat assessments, and landscape change research. The need for stream morphology data in the United States, and thus the quantity of data collected, has grown substantially over the past 2 decades because of the expanded interests of resource management agencies in watershed management and restoration. The quantity of stream morphology data collected has also increased because of state-of-the-art technologies capable of rapidly collecting high-resolution data over large areas with heretofore unprecedented precision. Despite increasing needs for and the expanding quantity of stream morphology data, neither common reporting standards nor a central data archive exist for storing and serving these often large and spatially complex data sets. We are proposing an open- access data exchange for archiving and disseminating stream morphology data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2012EO200005","usgsCitation":"Collins, M.J., Gray, J.R., Peppler, M.C., Fitzpatrick, F.A., and Schubauer-Berigan, J.P., 2012, Developing a national stream morphology data exchange: needs, challenges, and opportunities: Eos, Transactions, American Geophysical Union, v. 93, no. 20, https://doi.org/10.1029/2012EO200005.","productDescription":"1 p.","startPage":"195","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":292326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292325,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO200005"}],"volume":"93","issue":"20","noUsgsAuthors":false,"publicationDate":"2012-05-15","publicationStatus":"PW","scienceBaseUri":"53ef1ec6e4b0bfa1f993ef05","contributors":{"authors":[{"text":"Collins, Mathias J.","contributorId":19086,"corporation":false,"usgs":true,"family":"Collins","given":"Mathias","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":498403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":498401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peppler, Marie C. 0000-0002-1120-9673 mpeppler@usgs.gov","orcid":"https://orcid.org/0000-0002-1120-9673","contributorId":825,"corporation":false,"usgs":true,"family":"Peppler","given":"Marie","email":"mpeppler@usgs.gov","middleInitial":"C.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":498400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":498402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schubauer-Berigan, Joseph P.","contributorId":106220,"corporation":false,"usgs":true,"family":"Schubauer-Berigan","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":498404,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70118983,"text":"70118983 - 2012 - Social.Water - A crowdsourcing tool for environmental data acquisition","interactions":[],"lastModifiedDate":"2014-08-04T10:00:29","indexId":"70118983","displayToPublicDate":"2013-08-04T09:59:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Social.Water - A crowdsourcing tool for environmental data acquisition","docAbstract":"Remote telemetry has a long history of use for collection of environmental measurements. With the rise of mobile phones and SMS text-messaging capacity, many members of the general pubic carry communications equipment in their pockets at all times. Enabling the general public to provide environmental data through text messages has the potential both to provide additional data to scientific projects and also to raise awareness of the projects through participation. Hydrologic measurements – some of which can be made without training, involve a single measurement, and are often made in rural areas – are well-suited to text-message conveyance. Many other environmental measurements are similarly well-suited for this technology. Social.Water is a software package, written in Python, that collects, parses, and categorizes text messages sent to a dedicated phone number, updates a simple database, and posts both graphical results and the database on the Web. Social.Water was designed as the backend to the Crowdhydrology project and is written in an object-oriented design that makes customization and modification straightforward.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2012.06.015","usgsCitation":"Fienen, M., and Lowry, C., 2012, Social.Water - A crowdsourcing tool for environmental data acquisition: Computers & Geosciences, v. 49, p. 164-169, https://doi.org/10.1016/j.cageo.2012.06.015.","productDescription":"6 p.","startPage":"164","endPage":"169","ipdsId":"IP-038629","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291545,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2012.06.015"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e09e5de4b0beb42bdca496","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":497552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowry, Christopher","contributorId":82232,"corporation":false,"usgs":true,"family":"Lowry","given":"Christopher","affiliations":[],"preferred":false,"id":497553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118359,"text":"70118359 - 2012 - Varying sediment sources (Hudson Strait, Cumberland Sound, Baffin Bay) to the NW Labrador Sea slope between and during Heinrich events 0 to 4","interactions":[],"lastModifiedDate":"2014-07-28T14:57:49","indexId":"70118359","displayToPublicDate":"2013-07-28T14:52:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Varying sediment sources (Hudson Strait, Cumberland Sound, Baffin Bay) to the NW Labrador Sea slope between and during Heinrich events 0 to 4","docAbstract":"Core HU97048-007PC was recovered from the continental Labrador Sea slope at a water depth of 945 m, 250 km seaward from the mouth of Cumberland Sound, and 400 km north of Hudson Strait. Cumberland Sound is a structural trough partly floored by Cretaceous mudstones and Paleozoic carbonates. The record extends from ∼10 to 58 ka. On-board logging revealed a complex series of lithofacies, including buff-colored detrital carbonate-rich sediments [Heinrich (H)-events] frequently bracketed by black facies. We investigate the provenance of these facies using quantitative X-ray diffraction on drill-core samples from Paleozoic and Cretaceous bedrock from the SE Baffin Island Shelf, and on the < 2-mm sediment fraction in a transect of five cores from Cumberland Sound to the NW Labrador Sea. A sediment unmixing program was used to discriminate between sediment sources, which included dolomite-rich sediments from Baffin Bay, calcite-rich sediments from Hudson Strait and discrete sources from Cumberland Sound. Results indicated that the bulk of the sediment was derived from Cumberland Sound, but Baffin Bay contributed to sediments coeval with H-0 (Younger Dryas), whereas Hudson Strait was the source during H-events 1–4. Contributions from the Cretaceous outcrops within Cumberland Sound bracket H-events, thus both leading and lagging Hudson Strait-sourced H-events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Quaternary Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jqs.2535","usgsCitation":"Andrews, J.T., Barber, D., Jennings, A.E., Eberl, D.D., Maclean, B., Kirby, M., and Stoner, J., 2012, Varying sediment sources (Hudson Strait, Cumberland Sound, Baffin Bay) to the NW Labrador Sea slope between and during Heinrich events 0 to 4: Journal of Quaternary Science, v. 27, no. 5, p. 475-484, https://doi.org/10.1002/jqs.2535.","productDescription":"10 p.","startPage":"475","endPage":"484","costCenters":[],"links":[{"id":474088,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00265/37644/","text":"External Repository"},{"id":291198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291197,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jqs.2535"}],"country":"Canada","otherGeospatial":"Hudson Strait;Cumberland Sound;Baffin Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.0,58.0 ], [ -75.0,70.0 ], [ -50.0,70.0 ], [ -50.0,58.0 ], [ -75.0,58.0 ] ] ] } } ] }","volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-17","publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b73","contributors":{"authors":[{"text":"Andrews, John T.","contributorId":79678,"corporation":false,"usgs":true,"family":"Andrews","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":496824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, D.C.","contributorId":86504,"corporation":false,"usgs":true,"family":"Barber","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":496825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, A. E.","contributorId":66682,"corporation":false,"usgs":true,"family":"Jennings","given":"A.","middleInitial":"E.","affiliations":[],"preferred":false,"id":496823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberl, D. D.","contributorId":66282,"corporation":false,"usgs":true,"family":"Eberl","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":496822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maclean, B.","contributorId":90652,"corporation":false,"usgs":true,"family":"Maclean","given":"B.","email":"","affiliations":[],"preferred":false,"id":496826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirby, M.E.","contributorId":26986,"corporation":false,"usgs":true,"family":"Kirby","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":496820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stoner, J.S.","contributorId":29330,"corporation":false,"usgs":true,"family":"Stoner","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":496821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70118346,"text":"70118346 - 2012 - Peralkaline- and calc-alkaline-hosted volcanogenic massive sulfide deposits of the Bonnifield District, East-Central Alaska","interactions":[],"lastModifiedDate":"2018-10-23T12:07:12","indexId":"70118346","displayToPublicDate":"2013-07-28T14:28:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Peralkaline- and calc-alkaline-hosted volcanogenic massive sulfide deposits of the Bonnifield District, East-Central Alaska","docAbstract":"Volcanogenic massive sulfide (VMS) Zn-Pb-Cu-Ag-Au deposits of the Bonnifield mining district formed during Late Devonian-Early Mississippian magmatism along the western edge of Laurentia. The largest deposits, Dry Creek and WTF, have a combined resource of 5.7 million tonnes at 10% Zn, 4% Pb, 0.3% Cu, 300 grams per tonne (g/t) Ag, and 1.6 g/t Au. These polymetallic deposits are hosted in high field strength element (HFSE)- and rare-earth element (REE)-rich peralkaline (pantelleritic) metarhyolite, and interlayered pyritic argillite and mudstone of the Mystic Creek Member of the Totatlanika Schist Formation. Mystic Creek metarhyolite and alkali basalt (Chute Creek Member) constitute a bimodal pair that formed in an extensional environment. A synvolcanic peralkaline quartz porphyry containing veins of fluorite, sphalerite, pyrite, and quartz intrudes the central footwall at Dry Creek. The Anderson Mountain deposit, located ~32 km to the southwest, occurs within calc-alkaline felsic to intermediate-composition metavolcanic rocks and associated graphitic argillite of the Wood River assemblage. Felsic metavolcanic rocks there have only slightly elevated HFSEs and REEs. The association of abundant graphitic and siliceous argillite with the felsic volcanic rocks together with low Cu contents in the Bonnifield deposits suggests classification as a siliciclastic-felsic type of VMS deposit.
Bonnifield massive sulfides and host rocks were metamorphosed and deformed under greenschist-facies conditions in the Mesozoic. Primary depositional textures, generally uncommon, consist of framboids, framboidal aggregates, and spongy masses of pyrite. Sphalerite, the predominant base metal sulfide, encloses early pyrite framboids. Galena and chalcopyrite accompanied early pyrite formation but primarily formed late in the paragenetic sequence. Silver-rich tetrahedrite is a minor late phase at the Dry Creek deposit. Gold and Ag are present in low to moderate amounts in pyrite from all of the deposits; electrum inclusions occur in Dry Creek sphalerite. Contents and ratios of trace elements in graphitic argillite that serve as proxies for the redox state of the bottom waters in the basin indicate that Dry Creek mineralization took place in suboxic to periodically anoxic bottom waters. Trace element data show higher contents of Tl-Mn-As in pyrite from the Anderson Mountain deposit compared to the Dry Creek or WTF deposits and thus suggest that Anderson Mountain may have formed at lower temperatures or under slightly more oxidizing conditions.
No exact modern analogue for the tectonic setting of the Bonnifield VMS deposits is known, although the back-arc regions of the Okinawa Trough and Woodlark Basin satisfy the requirement for a submarine, extensional setting adjacent to a continental margin. Limited occurrences of peralkaline volcanic rocks occur in these two potential analogues, but the peralkalinity of those rocks is much less than that of the Mystic Creek Member metarhyolites in the Bonnifield district. The highly elevated trace element (e.g., Zr, Nb) contents of Mystic Creek metarhyolites suggest that a better analogue may be a submarine rifted continental margin. The calc-alkaline composition of the host rocks to the Anderson Mountain deposit suggests that mineralization there formed in a continental margin arc, outboard of the extended continental margin setting of the peralkaline-hosted Dry Creek and WTF deposits.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.107.7.1403","usgsCitation":"Dusel-Bacon, C., Foley, N.K., Slack, J.E., Koenig, A.E., and Oscarson, R.L., 2012, Peralkaline- and calc-alkaline-hosted volcanogenic massive sulfide deposits of the Bonnifield District, East-Central Alaska: Economic Geology, v. 107, no. 7, p. 1403-1432, https://doi.org/10.2113/econgeo.107.7.1403.","productDescription":"30 p.","startPage":"1403","endPage":"1432","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":291192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291191,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.107.7.1403"}],"country":"United States","state":"Alaska","otherGeospatial":"Bonnifield District","volume":"107","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-10-12","publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b77","contributors":{"authors":[{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":496798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slack, John E.","contributorId":65774,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oscarson, Robert L. roscarson@usgs.gov","contributorId":3390,"corporation":false,"usgs":true,"family":"Oscarson","given":"Robert","email":"roscarson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":496799,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70118333,"text":"70118333 - 2012 - Holocene seasonal variability inferred from multiple proxy records from Crevice Lake, Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2014-07-28T13:53:32","indexId":"70118333","displayToPublicDate":"2013-07-28T13:49:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Holocene seasonal variability inferred from multiple proxy records from Crevice Lake, Yellowstone National Park, USA","docAbstract":"A 9400-yr-old record from Crevice Lake, a semi-closed alkaline lake in northern Yellowstone National Park, was analyzed for pollen, charcoal, geochemistry, mineralogy, diatoms, and stable isotopes to develop a nuanced understanding of Holocene environmental history in a region of northern Rocky Mountains that receives both summer and winter precipitation. The limited surface area, conical bathymetry, and deep water (> 31 m) of Crevice Lake create oxygen-deficient conditions in the hypolimnion and preserve annually laminated sediment (varves) for much of the record. Pollen data indicate that the watershed supported a closed Pinus-dominated forest and low fire frequency prior to 8200 cal yr BP, followed by open parkland until 2600 cal yr BP, and open mixed-conifer forest thereafter. Fire activity shifted from infrequent stand-replacing fires initially to frequent surface fires in the middle Holocene and stand-replacing events in recent centuries. Low values of δ18O suggest high winter precipitation in the early Holocene, followed by steadily drier conditions after 8500 cal yr BP. Carbonate-rich sediments before 5000 cal yr BP imply warmer summer conditions than after 5000 cal yr BP. High values of molybdenum (Mo), uranium (U), and sulfur (S) indicate anoxic bottom-waters before 8000 cal yr BP, between 4400 and 3900 cal yr BP, and after 2400 cal yr BP. The diatom record indicates extensive water-column mixing in spring and early summer through much of the Holocene, but a period between 2200 and 800 cal yr BP had strong summer stratification, phosphate limitation, and oxygen-deficient bottom waters. Together, the proxy data suggest wet winters, protracted springs, and warm effectively wet summers in the early Holocene and less snowpack, cool springs, warm dry summers in the middle Holocene. In the late Holocene, the region and lake experienced extreme changes in winter, spring, and summer conditions, with particularly short springs and dry summers and winters during the Roman Warm Period (~ 2000 cal yr BP) and Medieval Climate Anomaly (1200–800 cal yr BP). Long springs and mild summers occurred during the Little Ice Age, and these conditions persist to the present. Although the proxy data indicate effectively wet summer conditions in the early Holocene and drier conditions in the middle and late Holocene, none point specifically to changes in summer precipitation as the cause. Instead, summer conditions were governed by multi-seasonal controls on effective moisture that operated over multiple time scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2012.03.001","usgsCitation":"Whitlock, C., Dean, W.E., Fritz, S.C., Stevens, L.R., Stone, J., Power, M.J., Rosenbaum, J.R., Pierce, K.L., and Bracht-Flyr, B.B., 2012, Holocene seasonal variability inferred from multiple proxy records from Crevice Lake, Yellowstone National Park, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 331-332, p. 90-103, https://doi.org/10.1016/j.palaeo.2012.03.001.","productDescription":"14 p.","startPage":"90","endPage":"103","costCenters":[],"links":[{"id":488287,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/geosciencefacpub/388","text":"External Repository"},{"id":291184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2012.03.001"}],"country":"United States","state":"Montana","otherGeospatial":"Crevice Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.5799524,44.9991884 ], [ -110.5799524,45.0023427 ], [ -110.5759534,45.0023427 ], [ -110.5759534,44.9991884 ], [ -110.5799524,44.9991884 ] ] ] } } ] }","volume":"331-332","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b7b","contributors":{"authors":[{"text":"Whitlock, Cathy","contributorId":79745,"corporation":false,"usgs":false,"family":"Whitlock","given":"Cathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":496778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":496773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritz, Sherilyn C.","contributorId":30155,"corporation":false,"usgs":true,"family":"Fritz","given":"Sherilyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":496775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Lora R.","contributorId":34059,"corporation":false,"usgs":true,"family":"Stevens","given":"Lora","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":496776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Jeffery R.","contributorId":95501,"corporation":false,"usgs":true,"family":"Stone","given":"Jeffery R.","affiliations":[],"preferred":false,"id":496780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Power, Mitchell J.","contributorId":79032,"corporation":false,"usgs":true,"family":"Power","given":"Mitchell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosenbaum, Joseph R.","contributorId":89461,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":496779,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":496772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bracht-Flyr, Brandi B.","contributorId":25877,"corporation":false,"usgs":true,"family":"Bracht-Flyr","given":"Brandi","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":496774,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70118308,"text":"70118308 - 2012 - Potentially bioavailable natural organic carbon and hydrolyzable amino acids in aquifer sediments","interactions":[],"lastModifiedDate":"2014-07-28T12:55:10","indexId":"70118308","displayToPublicDate":"2013-07-28T12:51:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Potentially bioavailable natural organic carbon and hydrolyzable amino acids in aquifer sediments","docAbstract":"This study evaluated the relationship between concentrations of operationally defined potentially bioavailable organic -carbon (PBOC) and hydrolyzable amino acids (HAAs) in sediments collected from a diverse range of chloroethene--contaminated sites. Concentrations of PBOC and HAA were measured using aquifer sediment samples collected at six selected study sites. Average concentrations of total HAA and PBOC ranged from 1.96 ± 1.53 to 20.1 ± 25.6 mg/kg and 4.72 ± 0.72 to 443 ± 65.4 mg/kg, respectively. Results demonstrated a statistically significant positive relationship between concentrations of PBOC and total HAA present in the aquifer sediment (p < 0.05). Higher levels of HAA were consistently observed at sites with greater levels of PBOC and first-order decay rates. Because amino acids are known to be readily biodegradable carbon compounds, this relationship suggests that the sequential chemical extraction procedure used to measure PBOC is a useful indicator of bioavailable carbon in aquifer sediments. This, in turn, is consistent with the interpretation that PBOC measurements can be used for estimating the amount of natural organic carbon available for driving the reductive dechlorination of chloroethenes in groundwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water Monitoring and Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6592.2012.01406.x","usgsCitation":"Thomas, L.K., Widdowson, M.A., Novak, J.T., Chapelle, F.H., Benner, R., and Kaiser, K., 2012, Potentially bioavailable natural organic carbon and hydrolyzable amino acids in aquifer sediments: Ground Water Monitoring and Remediation, v. 32, no. 4, p. 92-95, https://doi.org/10.1111/j.1745-6592.2012.01406.x.","productDescription":"4 p.","startPage":"92","endPage":"95","costCenters":[],"links":[{"id":505917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6592.2012.01406.x","text":"Publisher Index Page"},{"id":291159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291158,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2012.01406.x"}],"volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-06-27","publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b7f","contributors":{"authors":[{"text":"Thomas, Lashun K.","contributorId":58507,"corporation":false,"usgs":true,"family":"Thomas","given":"Lashun","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":496725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Novak, John T.","contributorId":41753,"corporation":false,"usgs":true,"family":"Novak","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":496723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benner, Ronald","contributorId":57380,"corporation":false,"usgs":true,"family":"Benner","given":"Ronald","affiliations":[],"preferred":false,"id":496724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaiser, Karl","contributorId":80520,"corporation":false,"usgs":true,"family":"Kaiser","given":"Karl","email":"","affiliations":[],"preferred":false,"id":496726,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046900,"text":"fs20123137 - 2012 - StreamStats in North Carolina: A water-resources Web application","interactions":[],"lastModifiedDate":"2026-06-04T16:23:55.184681","indexId":"fs20123137","displayToPublicDate":"2013-07-16T09:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3137","title":"StreamStats in North Carolina: A water-resources Web application","docAbstract":"A statewide StreamStats application for North Carolina was developed in cooperation with the North Carolina Department of Transportation following completion of a pilot application for the upper French Broad River basin in western North Carolina (Wagner and others, 2009). StreamStats for North Carolina, available at http://water.usgs.gov/osw/streamstats/north_carolina.html, is a Web-based Geographic Information System (GIS) application developed by the U.S. Geological Survey (USGS) in consultation with Environmental Systems Research Institute, Inc. (Esri) to provide access to an assortment of analytical tools that are useful for water-resources planning and management (Ries and others, 2008). The StreamStats application provides an accurate and consistent process that allows users to easily obtain streamflow statistics, basin characteristics, and descriptive information for USGS data-collection sites and user-selected ungaged sites. In the North Carolina application, users can compute 47 basin characteristics and peak-flow frequency statistics (Weaver and others, 2009; Robbins and Pope, 1996) for a delineated drainage basin. Selected streamflow statistics and basin characteristics for data-collection sites have been compiled from published reports and also are immediately accessible by querying individual sites from the web interface. Examples of basin characteristics that can be computed in StreamStats include drainage area, stream slope, mean annual precipitation, and percentage of forested area (Ries and others, 2008). Examples of streamflow statistics that were previously available only through published documents include peak-flow frequency, flow-duration, and precipitation data. These data are valuable for making decisions related to bridge design, floodplain delineation, water-supply permitting, and sustainable stream quality and ecology. The StreamStats application also allows users to identify stream reaches upstream and downstream from user-selected sites and obtain information for locations along streams where activities occur that may affect streamflow conditions. This functionality can be accessed through a map-based interface with the user’s Web browser, or individual functions can be requested remotely through Web services (Ries and others, 2008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123137","usgsCitation":"Weaver, J., Terziotti, S., Kolb, K.R., and Wagner, C., 2012, StreamStats in North Carolina: a water-resources Web application: U.S. Geological Survey Fact Sheet 2012-3137, 4 p., https://doi.org/10.3133/fs20123137.","productDescription":"4 p.","ipdsId":"IP-037939","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":505007,"rank":4,"type":{"id":36,"text":"NGMDB Index 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Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":480573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolb, Katharine R. 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":16299,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":480572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":480570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70045501,"text":"70045501 - 2012 - Strategies for soil quality assessment using VNIR gyperspectral spectroscopy in a western Kenya Chronosequence","interactions":[],"lastModifiedDate":"2013-05-07T14:17:23","indexId":"70045501","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Strategies for soil quality assessment using VNIR gyperspectral spectroscopy in a western Kenya Chronosequence","docAbstract":"Visible and near-infrared reflectance spectroscopy (VNIRS) is a rapid and nondestructive method that can predict multiple soil properties simultaneously, but its application in multidimensional soil quality (SQ) assessment in the tropics still needs to be further assessed. In this study, VNIRS (350–2500 nm) was employed to analyze 227 air-dried soil samples of Ultisols from a soil chronosequence in western Kenya and assess 16 SQ indicators. Partial least squares regression (PLSR) was validated using the full-site cross-validation method by grouping samples from each farm or forest site. Most suitable models successfully predicted SQ indicators (R2 ≥ 0.80; ratio of performance to deviation [RPD] ≥ 2.00) including soil organic matter (OMLOI), active C, Ca, cation exchange capacity (CEC), and clay. Moderately-well predicted indicators (0.50 ≤ R2 < 0.80; 1.40 ≤ RPD < 2.00) were water stable aggregation (WSA), Cu, silt, Mg, pH, sand, water content at permanent wilting point (Θpwp), and field capacity (Θfc). Poorly predicted indicators (R2 < 0.50; RPD < 1.40) were EC, S, P, available water capacity (AWC), K, Zn, and penetration resistance. Combining VNIRS with selected field- and laboratory-measured SQ indicator values increased predictability. Furthermore, VNIRS showed moderate to substantial agreement in predicting interpretive SQ scores and a composite soil quality index (CSQI) especially when combined with directly measured SQ indicator values. In conclusion, VNIRS has good potential for low cost, rapid assessment of physical and biological SQ indicators but conventional soil chemical tests may need to be retained to provide comprehensive SQ assessments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2011.0307","usgsCitation":"Kinoshita, R., Moebius-Clune, B.N., van Es, H.M., Hively, W., and Bilgilis, A.V., 2012, Strategies for soil quality assessment using VNIR gyperspectral spectroscopy in a western Kenya Chronosequence: Soil Science Society of America Journal, v. 76, no. 5, p. 1776-1788, https://doi.org/10.2136/sssaj2011.0307.","productDescription":"13 p.","startPage":"1776","endPage":"1788","numberOfPages":"13","ipdsId":"IP-033379","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/sssaj2011.0307","text":"Publisher Index Page"},{"id":272032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272030,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2011.0307"}],"country":"Kenya","otherGeospatial":"Western Kenya","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 33.91,-4.68 ], [ 33.91,5.05 ], [ 37.51,5.05 ], [ 37.51,-4.68 ], [ 33.91,-4.68 ] ] ] } } ] }","volume":"76","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-09-12","publicationStatus":"PW","scienceBaseUri":"518a1460e4b061e1bd53335b","contributors":{"authors":[{"text":"Kinoshita, Rintaro","contributorId":34800,"corporation":false,"usgs":true,"family":"Kinoshita","given":"Rintaro","email":"","affiliations":[],"preferred":false,"id":477644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moebius-Clune, Bianca N.","contributorId":62104,"corporation":false,"usgs":true,"family":"Moebius-Clune","given":"Bianca","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":477645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Es, Harold M.","contributorId":97800,"corporation":false,"usgs":true,"family":"van Es","given":"Harold","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":9391,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","affiliations":[],"preferred":false,"id":477642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bilgilis, A. Volkan","contributorId":32426,"corporation":false,"usgs":true,"family":"Bilgilis","given":"A.","email":"","middleInitial":"Volkan","affiliations":[],"preferred":false,"id":477643,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045034,"text":"70045034 - 2012 - Global trophic position comparison of two dominant mesopelagic fish families (Myctophidae, Stomiidae) using amino acid nitrogen isotopic analyses","interactions":[],"lastModifiedDate":"2013-05-05T21:20:10","indexId":"70045034","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Global trophic position comparison of two dominant mesopelagic fish families (Myctophidae, Stomiidae) using amino acid nitrogen isotopic analyses","docAbstract":"The δ15N values of organisms are commonly used across diverse ecosystems to estimate trophic position and infer trophic connectivity. We undertook a novel cross-basin comparison of trophic position in two ecologically well-characterized and different groups of dominant mid-water fish consumers using amino acid nitrogen isotope compositions. We found that trophic positions estimated from the δ15N values of individual amino acids are nearly uniform within both families of these fishes across five global regions despite great variability in bulk tissue δ15N values. Regional differences in the δ15N values of phenylalanine confirmed that bulk tissue δ15N values reflect region-specific water mass biogeochemistry controlling δ15N values at the base of the food web. Trophic positions calculated from amino acid isotopic analyses (AA-TP) for lanternfishes (family Myctophidae) (AA-TP ~2.9) largely align with expectations from stomach content studies (TP ~3.2), while AA-TPs for dragonfishes (family Stomiidae) (AA-TP ~3.2) were lower than TPs derived from stomach content studies (TP~4.1). We demonstrate that amino acid nitrogen isotope analysis can overcome shortcomings of bulk tissue isotope analysis across biogeochemically distinct systems to provide globally comparative information regarding marine food web structure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","publisherLocation":"San Fransicso, CA","doi":"10.1371/journal.pone.0050133","usgsCitation":"Choy, C.A., Davison, P.C., Drazen, J.C., Flynn, A., Gier, E.J., Hoffman, J.C., McClain-Counts, J., Miller, T.W., Popp, B.N., Ross, S., and Sutton, T.T., 2012, Global trophic position comparison of two dominant mesopelagic fish families (Myctophidae, Stomiidae) using amino acid nitrogen isotopic analyses: PLoS ONE, v. 7, no. 11, p. 1-8, https://doi.org/10.1371/journal.pone.0050133.","productDescription":"e50133; 8 p.","startPage":"1","endPage":"8","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-033294","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0050133","text":"Publisher Index Page"},{"id":271850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271849,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0050133"},{"id":271851,"type":{"id":11,"text":"Document"},"url":"https://www.plosone.org/article/fetchObjectAttachment.action;jsessionid=9CB952656838B0A2ADDCA036CD4367DC?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0050133&representation=PDF"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 155.0,-43.0 ], [ 155.0,60.0 ], [ -27.0,60.0 ], [ -27.0,-43.0 ], [ 155.0,-43.0 ] ] ] } } ] }","volume":"7","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-11-28","publicationStatus":"PW","scienceBaseUri":"5187716ae4b078fc9c244b57","contributors":{"authors":[{"text":"Choy, C. Anela","contributorId":97799,"corporation":false,"usgs":true,"family":"Choy","given":"C.","email":"","middleInitial":"Anela","affiliations":[],"preferred":false,"id":476670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davison, Peter C.","contributorId":57342,"corporation":false,"usgs":true,"family":"Davison","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":476665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drazen, Jeffrey C.","contributorId":87836,"corporation":false,"usgs":true,"family":"Drazen","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":476668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flynn, Adrian","contributorId":31655,"corporation":false,"usgs":true,"family":"Flynn","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":476662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gier, Elizabeth J.","contributorId":89785,"corporation":false,"usgs":true,"family":"Gier","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoffman, Joel C.","contributorId":84244,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":476667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McClain-Counts, Jennifer P. 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":13744,"corporation":false,"usgs":true,"family":"McClain-Counts","given":"Jennifer P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":476661,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Todd W.","contributorId":71855,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":476666,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Popp, Brian N.","contributorId":49027,"corporation":false,"usgs":true,"family":"Popp","given":"Brian","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":476664,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":476663,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sutton, Tracey T.","contributorId":106400,"corporation":false,"usgs":true,"family":"Sutton","given":"Tracey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":476671,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70042771,"text":"70042771 - 2012 - Harvest and dynamics of duck populations","interactions":[],"lastModifiedDate":"2013-05-05T21:29:14","indexId":"70042771","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Harvest and dynamics of duck populations","docAbstract":"The role of harvest in the dynamics of waterfowl populations continues to be debated among scientists and managers. Our perception is that interested members of the public and some managers believe that harvest influences North American duck populations based on calls for more conservative harvest regulations. A recent review of harvest and population dynamics of North American mallard (Anas platyrhynchos) populations (Pöysä et al. 2004) reached similar conclusions. Because of the importance of this issue, we reviewed the evidence for an impact of harvest on duck populations. Our understanding of the effects of harvest is limited because harvest effects are typically confounded with those of population density; regulations are typically most liberal when populations are greatest. This problem also exists in the current Adaptive Harvest Management Program (Conn and Kendall 2004). Consequently, even where harvest appears additive to other mortality, this may be an artifact of ignoring effects of population density. Overall, we found no compelling evidence for strong additive effects of harvest on survival in duck populations that could not be explained by other factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/jwmg.370","usgsCitation":"Sedinger, J.S., and Herzog, M., 2012, Harvest and dynamics of duck populations: Journal of Wildlife Management, v. 76, no. 6, p. 1108-1116, https://doi.org/10.1002/jwmg.370.","productDescription":"9 p.","startPage":"1108","endPage":"1116","ipdsId":"IP-035604","costCenters":[{"id":216,"text":"Davis Field Station","active":false,"usgs":true}],"links":[{"id":271853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271852,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.370"}],"volume":"76","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-07-16","publicationStatus":"PW","scienceBaseUri":"5187716ce4b078fc9c244b5f","contributors":{"authors":[{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":472217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":472216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045696,"text":"ds739 - 2012 - Bathymetry and acoustic backscatter data collected in 2010 from Cat Island, Mississippi","interactions":[],"lastModifiedDate":"2013-04-30T08:48:15","indexId":"ds739","displayToPublicDate":"2013-04-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"739","title":"Bathymetry and acoustic backscatter data collected in 2010 from Cat Island, Mississippi","docAbstract":"Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center (SPCMSC), in collaboration with the U.S. Army Corps of Engineers (USACE), conducted geophysical and sedimentological surveys around Cat Island, the westernmost island in the Mississippi-Alabama barrier island chain (fig. 1). The objectives of the study were to understand the geologic evolution of Cat Island relative to other barrier islands in the northern Gulf of Mexico and to identify relationships between the geologic history, present day morphology, and sediment distribution. This report contains data from the bathymetry and side-scan sonar portion of the study collected during two geophysical cruises. Interferometric swath bathymetry and side-scan sonar data were collected aboard the RV G.K. Gilbert September 7-15, 2010. Single-beam bathymetry was collected in shallow water around the island (< 2 meter (m)) from the RV Streeterville from September 28 to October 2, 2010, to cover the data gap between the landward limit of the previous cruise and the shoreline. This report serves as an archive of processed interferometric swath and single-beam bathymetry and side scan sonar data. GIS data products include a 50-m cell size interpolated gridded bathymetry surface, trackline maps, and an acoustic side-scan sonar image. Additional files include error analysis maps, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FDGC) metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds739","usgsCitation":"Buster, N.A., Pfeiffer, W.R., Miselis, J.L., Kindinger, J.L., Wiese, D.S., and Reynolds, B., 2012, Bathymetry and acoustic backscatter data collected in 2010 from Cat Island, Mississippi: U.S. Geological Survey Data Series 739, HTML Document: Abstract; Introduction; Survey Overview; Data Acquisition; Data Processing; Error Analysis; Survey Products; Data Downloads; Logs; Acronyms; Acknowledgements; References, https://doi.org/10.3133/ds739.","productDescription":"HTML Document: Abstract; Introduction; Survey Overview; Data Acquisition; Data Processing; Error Analysis; Survey Products; Data Downloads; Logs; Acronyms; Acknowledgements; References","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":271622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":271621,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/739/index.html"}],"country":"United States","state":"Alabama;Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.25,30.15 ], [ -89.25,30.3 ], [ -89,30.3 ], [ -89,30.15 ], [ -89.25,30.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7e4e4b0df838b924d55","contributors":{"authors":[{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":478064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":478063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":478065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":478061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":478062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":478066,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70045472,"text":"ofr20121263 - 2012 - Monitoring storm tide and flooding from Hurricane Isaac along the Gulf Coast of the United States, August 2012","interactions":[],"lastModifiedDate":"2017-02-03T12:14:22","indexId":"ofr20121263","displayToPublicDate":"2013-04-19T00:00:00","publicationYear":"2012","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":"2012-1263","title":"Monitoring storm tide and flooding from Hurricane Isaac along the Gulf Coast of the United States, August 2012","docAbstract":"The U.S. Geological Survey (USGS) deployed a temporary monitoring network of water-level and barometric pressure sensors at 127 locations along the gulf coast from Alabama to Louisiana to record the timing, areal extent, and magnitude of hurricane storm tide and coastal flooding generated by Hurricane Isaac. This deployment was undertaken as part of a coordinated federal emergency response as outlined by the Stafford Act under a directed mission assignment by the Federal Emergency Management Agency. Storm tide, as defined by National Oceanic and Atmospheric Administration (NOAA; National Oceanic and Atmospheric Administration, 2008), is the water-level rise generated by a combination of storm surge and astronomical tide during a coastal storm. Hurricane Isaac initially made landfall on the coast of Louisiana in Plaquemines Parish on August 28, 2012, as a Category 1 hurricane on the Saffir–Simpson Hurricane Wind Scale (National Weather Service, 1974) and then stalled over southern Louisiana for several days, causing prolonged storm-tide impacts. A total of 188 water-level and wave-height sensors were deployed at 127 locations during August 27–28 prior to landfall. More than 90 percent of the sensors and all high-water marks (HWMs) were recovered and surveyed to North American Vertical Datum of 1988 (NAVD 88) within 7 days of the Isaac landfall. Only a handful of sensors in the Plaquemines Parish area of Louisiana could not be retrieved until weeks later due to prolonged flooding in the area. Data collected from this event can be used to evaluate the performance of storm-tide models for maximum and incremental water level and flood extent and the site-specific effects of storm tide on natural and anthropogenic features of the environment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121263","collaboration":"Prepared under a mission assignment with the Federal Emergency Management Agency","usgsCitation":"McCallum, B.E., McGee, B.D., Kimbrow, D.R., Runner, M.S., Painter, J.A., Frantz, E.R., and Gotvald, A.J., 2012, Monitoring storm tide and flooding from Hurricane Isaac along the Gulf Coast of the United States, August 2012: U.S. Geological Survey Open-File Report 2012-1263, Report: ii, 26 p.; 6 Tables, https://doi.org/10.3133/ofr20121263.","productDescription":"Report: ii, 26 p.; 6 Tables","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042625","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":271140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121263.JPG"},{"id":271126,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1263/"},{"id":271129,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1263/pdf/ofr2012-1263.pdf","text":"Report"},{"id":271131,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1263/downloads/Table1-Isaac.xlsx","text":"Table 1 - Number of monitoring sites, by state"},{"id":271133,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1263/downloads/Table2-Isaac.xlsx","text":"Table 2 - GNSS/NGS elevation differences"},{"id":271134,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1263/downloads/Table3-Isaac.xlsx","text":"Table 3 - Storm tides-temporary sites"},{"id":271136,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1263/downloads/Table5-Isaac.xlsx","text":"Table 5 - Storm tides-NOAA sites"},{"id":271137,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1263/downloads/Table6-Isaac.xlsx","text":"Table 6 - High-water marks"},{"id":271135,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1263/downloads/Table4-Isaac.xlsx","text":"Table 4 - Storm tides-USGS sites"}],"country":"United States","state":"Alabama, Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.28515625,\n 28.719496107557465\n ],\n [\n -92.28515625,\n 30.883369321692268\n ],\n [\n -87.286376953125,\n 30.883369321692268\n ],\n [\n -87.286376953125,\n 28.719496107557465\n ],\n [\n -92.28515625,\n 28.719496107557465\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5172595ce4b0c173799e78ea","contributors":{"authors":[{"text":"McCallum, Brian E. 0000-0002-8935-0343 bemccall@usgs.gov","orcid":"https://orcid.org/0000-0002-8935-0343","contributorId":1591,"corporation":false,"usgs":true,"family":"McCallum","given":"Brian","email":"bemccall@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGee, Benton D. bdmcgee@usgs.gov","contributorId":2899,"corporation":false,"usgs":true,"family":"McGee","given":"Benton","email":"bdmcgee@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimbrow, Dustin R. dkimbrow@usgs.gov","contributorId":3915,"corporation":false,"usgs":true,"family":"Kimbrow","given":"Dustin","email":"dkimbrow@usgs.gov","middleInitial":"R.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runner, Michael S. msrunner@usgs.gov","contributorId":3497,"corporation":false,"usgs":true,"family":"Runner","given":"Michael","email":"msrunner@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":477584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frantz, Eric R. 0000-0002-1867-886X efrantz@usgs.gov","orcid":"https://orcid.org/0000-0002-1867-886X","contributorId":41573,"corporation":false,"usgs":true,"family":"Frantz","given":"Eric","email":"efrantz@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":477586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477582,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70045088,"text":"70045088 - 2012 - A low-cost method to measure the timing of post-fire flash floods and debris flows relative to rainfall","interactions":[],"lastModifiedDate":"2013-04-20T20:26:09","indexId":"70045088","displayToPublicDate":"2013-04-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A low-cost method to measure the timing of post-fire flash floods and debris flows relative to rainfall","docAbstract":"Data on the specific timing of post-fire flash floods and debris flows are very limited. We describe a method to measure the response times of small burned watersheds to rainfall using a low-cost pressure transducer, which can be installed quickly after a fire. Although the pressure transducer is not designed for sustained sampling at the fast rates ({less than or equal to}2 sec) used at more advanced debris-flow monitoring sites, comparisons with high-data rate stage data show that measured spikes in pressure sampled at 1-min intervals are sufficient to detect the passage of most debris flows and floods. Post-event site visits are used to measure the peak stage and identify flow type based on deposit characteristics. The basin response timescale (tb) to generate flow at each site was determined from an analysis of the cross correlation between time series of flow pressure and 5-min rainfall intensity. This timescale was found to be less than 30 minutes for 40 post-fire floods and 11 post-fire debris flows recorded in 15 southern California watersheds ({less than or equal to} 1.4 km2). Including data from 24 other debris flows recorded at 5 more instrumentally advanced monitoring stations, we find there is not a substantial difference in the median tb for floods and debris flows (11 and 9 minutes, respectively); however, there are slight, statistically significant differences in the trends of flood and debris-flow tb with basin area, which are presumably related to differences in flow speed between floods and debris flows.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011460","usgsCitation":"Kean, J.W., Staley, D.M., Leeper, R.J., Schmidt, K.M., and Gartner, J.E., 2012, A low-cost method to measure the timing of post-fire flash floods and debris flows relative to rainfall: Water Resources Research, v. 48, no. 5, W05516, https://doi.org/10.1029/2011WR011460.","productDescription":"W05516","ipdsId":"IP-035084","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011460","text":"Publisher Index Page"},{"id":270568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270567,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011460"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-09","publicationStatus":"PW","scienceBaseUri":"515e92d2e4b088aa2258090e","contributors":{"authors":[{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leeper, Robert J.","contributorId":96170,"corporation":false,"usgs":true,"family":"Leeper","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Kevin Michael","contributorId":49674,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":476764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476762,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}