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Patterns of dispersal, energy acquisition and allocation in Great Lakes lake whitefish (Coregonus clupeaformis)","docAbstract":"<p><span>Migration can be a behavioural response to poor or declining home range habitat quality and can occur when the costs of migration are overcome by the benefi ts of encountering higher-quality resources elsewhere. Despite dramatic ecosystem-level changes in the benthic food web of the Laurentian Great Lakes since the colonization of dreissenid mussels, coincident changes in condition and growth rates among benthivorous lake whitefi sh populations have been variable. We hypothesized that this variation could be in part mitigated by differences in migratory habits among populations, where increased migration distance can result in an increased probability of encountering high-quality habitat (relative to the home range). Results from four Great Lakes populations support this hypothesis; relative growth rates increased regularly with migration distance. The population with the largest average migration distance also had the least reduction in size-at-age during a period of signifi cant ecosystem change and among the highest estimated consumption and activity rates. In comparison, the population with the greatest declines in size-at-age was among the least mobile, demonstrating only moderate rates of consumption and activity. The least mobile population of lake whitefi sh was supported by a remnant Diporeia population and has experienced only moderate temporal growth declines. Our study provides evidence for the potential role of migration in mitigating the effects of ecosystem change on lake whitefi sh populations.</span></p>","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/advlim/63/2012/455","usgsCitation":"Rennie, M.D., Ebener, M.P., and Wagner, T., 2012, Can migration mitigate the effects of ecosystem change? Patterns of dispersal, energy acquisition and allocation in Great Lakes lake whitefish (Coregonus clupeaformis): Advances in Limnology, v. 63, no. 429, p. 455-476, https://doi.org/10.1127/advlim/63/2012/455.","productDescription":"12 p.","startPage":"455","endPage":"476","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013488","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.49482187924318,\n              46.80544356419054\n            ],\n            [\n              -92.39632462405717,\n              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,{"id":70042222,"text":"70042222 - 2012 - Vegetation model technical report ","interactions":[],"lastModifiedDate":"2019-08-29T09:48:51","indexId":"70042222","displayToPublicDate":"2007-12-31T09:48:34","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"chapter":"Appendix D4 ","title":"Vegetation model technical report ","docAbstract":"The vegetation model (LAVegMod) described in this appendix is the next generation of a similar model (habitat switching module) initially developed as part of the Louisiana Coastal Area study. LAVegMod divides the original 5-habitat model for the Louisiana coast into 19 vegetation types. LAVegMod provides longer estimates of interannual variation in aboveground biomass; however, biomass varies with vegetation type. 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,{"id":58155,"text":"ofr20041344 - 2012 - Version 3.0 of EMINERS - Economic Mineral Resource Simulator","interactions":[{"subject":{"id":50697,"text":"ofr02380 - 2002 - EMINERS -- An Economic Mineral Resource Simulator","indexId":"ofr02380","publicationYear":"2002","noYear":false,"title":"EMINERS -- An Economic Mineral Resource Simulator"},"predicate":"SUPERSEDED_BY","object":{"id":58155,"text":"ofr20041344 - 2012 - Version 3.0 of EMINERS - Economic Mineral Resource Simulator","indexId":"ofr20041344","publicationYear":"2012","noYear":false,"title":"Version 3.0 of EMINERS - Economic Mineral Resource Simulator"},"id":1}],"lastModifiedDate":"2012-07-03T17:03:08","indexId":"ofr20041344","displayToPublicDate":"2004-11-01T02:00:00","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":"2004-1344","title":"Version 3.0 of EMINERS - Economic Mineral Resource Simulator","docAbstract":"Quantitative mineral resource assessment, as developed by the U.S. Geological Survey (USGS), consists of three parts: (1) development of grade and tonnage mineral deposit models; (2) delineation of tracts permissive for each deposit type; and (3) probabilistic estimation of the numbers of undiscovered deposits for each deposit type. The estimate of the number of undiscovered deposits at different levels of probability is the input to the EMINERS (Economic Mineral Resource Simulator) program. EMINERS uses a Monte Carlo statistical process to combine probabilistic estimates of undiscovered mineral deposits with models of mineral deposit grade and tonnage to estimate mineral resources. Version 3.0 of the EMINERS program is available as this USGS Open-File Report 2004-1344. Changes from version 2.0 include updating 87 grade and tonnage models, designing new templates to produce graphs showing cumulative distribution and summary tables, and disabling economic filters. The economic filters were disabled because embedded data for costs of labor and materials, mining techniques, and beneficiation methods are out of date. However, the cost algorithms used in the disabled economic filters are still in the program and available for reference for mining methods and milling techniques. The release notes included with this report give more details on changes in EMINERS over the years. EMINERS is written in C++ and depends upon the Microsoft Visual C++ 6.0 programming environment. The code depends heavily on the use of Microsoft Foundation Classes (MFC) for implementation of the Windows interface. The program works only on Microsoft Windows XP or newer personal computers. It does not work on Macintosh computers. For help in using the program in this report, see the \"Quick-Start Guide for Version 3.0 of EMINERS-Economic Mineral Resource Simulator\" (W.J. Bawiec and G.T. Spanski, 2012, USGS Open-File Report 2009-1057, linked at right). It demonstrates how to execute EMINERS software using default settings and existing deposit models.","language":"English","publisher":"U.S. Gelogical Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041344","collaboration":"Version 3.0 is an update to USGS Open-File Report 2004-1344, which originally was version 2.0 of EMINERS by J.S. Duval","usgsCitation":"Duval, J.S., 2012, Version 3.0 of EMINERS - Economic Mineral Resource Simulator (Version 3.0 of EMINERS updates version 2.0; Version 2.0 supersedes Open-File Report 2002-0380): U.S. Geological Survey Open-File Report 2004-1344, Readme: 4 p.; EMINERS Verison 3.0 Zip;  Release Notes: 4 p., https://doi.org/10.3133/ofr20041344.","productDescription":"Readme: 4 p.; EMINERS Verison 3.0 Zip;  Release Notes: 4 p.","onlineOnly":"Y","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":185448,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2004_1344.jpg"},{"id":5769,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1344/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 3.0 of EMINERS updates version 2.0; Version 2.0 supersedes Open-File Report 2002-0380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c48","contributors":{"authors":[{"text":"Duval, Joseph S.","contributorId":22314,"corporation":false,"usgs":true,"family":"Duval","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":258411,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70250241,"text":"70250241 - 2011 - Calcrete/caliche","interactions":[],"lastModifiedDate":"2023-11-29T15:15:20.843628","indexId":"70250241","displayToPublicDate":"2023-11-29T09:06:50","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Calcrete/caliche","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of modern coral reefs: Structure, form and process","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-2639-2_195","usgsCitation":"Lidz, B., 2011, Calcrete/caliche, chap. <i>of</i> Encyclopedia of modern coral reefs: Structure, form and process, p. 180-181, https://doi.org/10.1007/978-90-481-2639-2_195.","productDescription":"2 p.","startPage":"180","endPage":"181","ipdsId":"IP-009888","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":423044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lidz, Barbara H","contributorId":331886,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara H","affiliations":[],"preferred":true,"id":889028,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041671,"text":"70041671 - 2011 - Real-time seismic monitoring of structures:  Data handling and case studies","interactions":[],"lastModifiedDate":"2022-08-25T16:57:23.496114","indexId":"70041671","displayToPublicDate":"2019-06-21T16:02:10","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Real-time seismic monitoring of structures:  Data handling and case studies","docAbstract":"<p><span>Within the last decade, advances in the acquisition, processing and transmission of data from real-time seismic monitoring systems has contributed to the growth in the number structures instrumented with such systems. An equally important factor for such growth can be attributed to the demands by stakeholders to find rapid answers to important questions related to the functionality (or “state of health”) of structures during and immediately following a seismic event. Hence, rapid and accurate assessment of the damage condition or performance of a building or a lifeline structure is of paramount importance to stakeholders, including owners, leasers, permanent and/or temporary occupants, users of infrastructures, city officials and rescue teams that are concerned with safety of those in the building, and those that may be affected in nearby buildings and infrastructures. In earlier papers, we described how observed data from sensors deployed in structures can be configured to establish seismic health monitoring of structures. In these configurations, drift ratios are the main parametric indicator of damage condition of a building. The process described for buildings can be applied directly for bridges as well. For bridges, the term, “drift ratio” is not generally used; however, relative displacements of critical elements of a bridge can be construed as such. While real-time data from structural arrays indicate that these methods are reliable and provide requisite information for owners and other parties to make informed decisions and to choose among pre-defined actions following significant events, there are several issues related to data ownership, transmission and archiving. This paper examines the real-time seismic monitoring systems deployed mainly in the United States, with particular attention to data issues – handling, dissemination, storage, and archiving. In most cases, due to the numerous channels involved, the deployments in each one of the real-time structures can be considered to be an individual array. Two detailed cases are described that demonstrate the variability in data ownership and dissemination.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake data in engineering seismology: Predictive models, data management and networks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Link","doi":"10.1007/978-94-007-0152-6_16","usgsCitation":"Celebi, M., 2011, Real-time seismic monitoring of structures:  Data handling and case studies, chap. <i>of</i> Earthquake data in engineering seismology: Predictive models, data management and networks, v. 14, p. 235-245, https://doi.org/10.1007/978-94-007-0152-6_16.","productDescription":"11 p.","startPage":"235","endPage":"245","ipdsId":"IP-017436","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2010-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":849688,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203883,"text":"70203883 - 2011 - Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects","interactions":[],"lastModifiedDate":"2019-06-18T18:27:30","indexId":"70203883","displayToPublicDate":"2019-06-18T18:25:33","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects","docAbstract":"<p><span>Arsenic, one of the most hazardous elements occurring in coals, can be released to the environment during coal processing and combustion. Based on the available literature and published results obtained in our laboratory, the content, distribution and the modes of occurrence of As in Chinese coals, and its environmental and impacts are reviewed in this article. With the 4763 sets of data (from the literature) rearranged, the arithmetic mean As concentration of each province and weighted mean As concentration of the entire country (using the expected coal reserves as the weighting factor) were calculated. The weighted mean As concentration in Chinese coals is 3.18</span><span>&nbsp;</span><span>mg/kg, with As concentration increasing from northern China to southern China. The As concentration in coal varies with coal-forming ages and coal ranks. Arsenic has several modes of occurrence in coals. According to results obtained by other studies and our own experiments, As is mainly associated with mineral matter (such as pyrite and other sulfide minerals) in coals, although a significant amount of arsenic is associated with organic matter. The accumulation of As in coal is controlled by many geological factors during coal-forming processes, including plant decomposition, sedimentary environments, and epigenetic hydrothermal activity. During the combustion of coal, As is released to the air, water, and soil, causing serious environmental pollution. More than 45% of the coal consumed in China is utilized by power plants, and it is estimated that nearly 522</span><span>&nbsp;</span><span>tonnes, 21</span><span>&nbsp;</span><span>tonnes and 252</span><span>&nbsp;</span><span>tonnes of As are emitted into the atmosphere by industries, residential buildings and coal-fired power plants, respectively, every year.</span></p>","language":"English","publisher":"Science of the Total Environment","doi":"10.1016/j.scitotenv.2011.10.026","usgsCitation":"Kang, Y., and Liu, G., 2011, Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects, v. 412, p. 1-13, https://doi.org/10.1016/j.scitotenv.2011.10.026.","productDescription":"13 p.","startPage":"1","endPage":"13","costCenters":[],"links":[{"id":364805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Y.","contributorId":54431,"corporation":false,"usgs":true,"family":"Kang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":764581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Guijian","contributorId":216351,"corporation":false,"usgs":false,"family":"Liu","given":"Guijian","email":"","affiliations":[],"preferred":false,"id":764582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178332,"text":"70178332 - 2011 - Groundwater–surface-water exchange and the geologic setting of northern Minnesota's lakes, wetlands, and streams—Modern-day relevance of Tom Winter's legacy","interactions":[],"lastModifiedDate":"2016-11-17T12:58:17","indexId":"70178332","displayToPublicDate":"2016-11-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater–surface-water exchange and the geologic setting of northern Minnesota's lakes, wetlands, and streams—Modern-day relevance of Tom Winter's legacy","docAbstract":"<p><span>Tom Winter spent nearly 50 years conducting research in earth science, and he specialized in the exchange between groundwater and surface water. Tom's highly productive career began in Minnesota. This fi eld trip revisits many of the places where Tom conducted his early research and demonstrates the continuing relevance of that research. Stops and topics include the groundwater infl uence on the record low stage of White Bear Lake, the contribution of groundwater to continually rising water levels in an abandoned open-pit iron mine, hydrogeology of the Shingobee headwaters aquatic ecosystem research site, hydrogeology of Lake Sallie, geology associated with the Pillager water gap, and the hydrogeology of Little Rock Lake.</span></p>","language":"English","publisher":"Geological Society of America ","doi":"10.1130/2011.0024(27e)","usgsCitation":"Rosenberry, D.O., Melchior, R.C., Jones, P.M., Strietz, A., Barr, K.D., Lee, D.R., and Piegat, J.J., 2011, Groundwater–surface-water exchange and the geologic setting of northern Minnesota's lakes, wetlands, and streams—Modern-day relevance of Tom Winter's legacy: GSA Field Guides, v. 24, p. 545-585, https://doi.org/10.1130/2011.0024(27e).","productDescription":"41 p.","startPage":"545","endPage":"585","ipdsId":"IP-038791","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"582ecff1e4b04d580bd4353c","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melchior, Robert C.","contributorId":79025,"corporation":false,"usgs":true,"family":"Melchior","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":653620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strietz, Andrew","contributorId":176827,"corporation":false,"usgs":false,"family":"Strietz","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":653616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barr, Kelton D.","contributorId":176830,"corporation":false,"usgs":false,"family":"Barr","given":"Kelton","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":653619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, David R.","contributorId":176828,"corporation":false,"usgs":false,"family":"Lee","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":653617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piegat, James J.","contributorId":176829,"corporation":false,"usgs":false,"family":"Piegat","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653618,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70171364,"text":"70171364 - 2011 - Survival of migrating Atlantic salmon smolts through the Penobscot River, Maine: A pre-restoration assessment","interactions":[],"lastModifiedDate":"2016-05-27T13:50:32","indexId":"70171364","displayToPublicDate":"2016-01-05T07:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Survival of migrating Atlantic salmon smolts through the Penobscot River, Maine: A pre-restoration assessment","docAbstract":"<p>Survival, distribution, and behavior of hatchery (<i>n</i> = 493) and naturally reared (<i>n</i> = 133) smolts of Atlantic salmon <i>Salmo salar</i> migrating through the Penobscot River and estuary in Maine were evaluated with acoustic telemetry in 2005 and 2006. Survival and use of a secondary migration path (the Stillwater Branch) were estimated with a multistate mark&ndash;recapture model. Higher rates of mortality per kilometer (range = 0.01&ndash;0.22) were observed near release sites and within reaches that contained three particular dams: Howland, West Enfield, and Milford dams. Estimated total survival of tagged hatchery smolts through entire individual reaches containing those dams ranged from 0.52 (<span class=\"NLM_inline-graphic\"><img src=\"http://www.tandfonline.com.ezproxy.library.wisc.edu/na101/home/literatum/publisher/tandf/journals/content/utaf20/2011/utaf20.v140.i05/00028487.2011.618356/production/images/medium/utaf_a_618356_o_ilm0001.gif\" alt=\"\" /></span> 0.18) to 0.94 (<span class=\"NLM_inline-graphic\"><img src=\"http://www.tandfonline.com.ezproxy.library.wisc.edu/na101/home/literatum/publisher/tandf/journals/content/utaf20/2011/utaf20.v140.i05/00028487.2011.618356/production/images/medium/utaf_a_618356_o_ilm0002.gif\" alt=\"\" /></span> 0.09), whereas survival through most of the reaches without dams exceeded 0.95. Of those smolts that survived to the Penobscot River&ndash;Stillwater Branch split at Marsh Island, most (&ge;74%) remained in the main stem around Marsh Island, where they experienced lower survival than fish that used the Stillwater Branch. Movement rates of hatchery-reared smolts were significantly lower through reaches containing dams than through reaches that lacked dams. Smolts arriving at dams during the day experienced longer delays than smolts arriving at night. Planned removal of two dams in this system is expected to enhance the passage of smolts through the main-stem corridor. However, the dams currently scheduled for removal (Great Works and Veazie dams) had less influence on smolt survival than some of the dams that will remain. This case study shows that by examining prerestoration migration dynamics throughout entire river systems rather than just in the vicinity of particular dams, tracking studies can help prioritize restoration efforts or predict the costs and benefits of future hydrosystem changes.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2011.618356","usgsCitation":"Zydlewski, J.D., Kinnison, M.T., and Holbrook, C., 2011, Survival of migrating Atlantic salmon smolts through the Penobscot River, Maine: A pre-restoration assessment: Transactions of the American Fisheries Society, v. 140, no. 5, p. 1255-1268, https://doi.org/10.1080/00028487.2011.618356.","productDescription":"13 p.","startPage":"1255","endPage":"1268","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024269","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-28","publicationStatus":"PW","scienceBaseUri":"57496fb5e4b07e28b665ccaa","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":630719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":630733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":630734,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005960,"text":"70005960 - 2011 - ASTER Global Digital Elevation Model Version 2 - summary of validation results","interactions":[],"lastModifiedDate":"2017-01-18T13:43:06","indexId":"70005960","displayToPublicDate":"2015-07-12T12:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"ASTER Global Digital Elevation Model Version 2 - summary of validation results","docAbstract":"<p>On June 29, 2009, NASA and the Ministry of Economy, Trade and Industry (METI) of Japan released a Global Digital Elevation Model (GDEM) to users worldwide at no charge as a contribution to the Global Earth Observing System of Systems (GEOSS). This &ldquo;version 1&rdquo; ASTER GDEM (GDEM1) was compiled from over 1.2 million scenebased DEMs covering land surfaces between 83&deg;N and 83&deg;S latitudes. A joint U.S.-Japan validation team assessed the accuracy of the GDEM1, augmented by a team of 20 cooperators. The GDEM1 was found to have an overall accuracy of around 20 meters at the 95% confidence level. The team also noted several artifacts associated with poor stereo coverage at high latitudes, cloud contamination, water masking issues and the stacking process used to produce the GDEM1 from individual scene-based DEMs (ASTER GDEM Validation Team, 2009). Two independent horizontal resolution studies estimated the effective spatial resolution of the GDEM1 to be on the order of 120 meters.</p>\n<p>A second version of the ASTER GDEM (GDEM2) is scheduled for release by NASA and METI in mid-October, 2011. Improvements in the GDEM2 result from acquiring 260,000 additional scenes to improve coverage, a smaller correlation kernel to yield higher spatial resolution, and improved water masking. As with the GDEM1, the GDEM2 validation was performed by the U.S. and Japanese partners. Vertical accuracy assessments included a comparison of the GDEM2 against absolute geodetic references over the Conterminous US (CONUS), against national elevation grids over the US and Japan, against the Shuttle Radar Topography Mission (SRTM) 1 arc-second elevation grids over the US and 20 sites around the globe, and against space borne laser altimeter data globally. Horizontal accuracy assessments were conducted as part of the Japan and the global SRTM studies, and horizontal resolution studies were conducted in both Japan and the US. Each group documented changes in artifacts in GDEM2 due to processing improvements.</p>\n<p>The absolute vertical accuracy study found the GDEM2 to be within -0.20 meters on average when compared against 18,000 geodetic control points over the CONUS, with an accuracy of 17 meters at the 95% confidence level. The Japan study noted the GDEM2 differed from the 10-meter national elevation grid by -0.7 meters over bare areas, and by 7.4 meters over forested areas. Similarly, the CONUS study noted the GDEM2 to be about 8 meters above the 1 arc-second NED over most forested areas, and more than a meter below NED over bare areas. The global altimeter study found the GDEM2 to be on average within 3 meters of altimeter-derived control, and also documented sensitivity to tree canopy height. The Japan study noted that the horizontal displacement in GDEM1 of 0.95 pixels was reduced to 0.23 pixels in GDEM2. Both teams noted improvements in horizontal resolution, between 71 and 82 meters, comparable to the SRTM 1 arc second elevation model, but at the cost of some increased noise. The number of voids and artifacts noted in GDEM1 were substantially reduced in GDEM2, and in some areas virtually eliminated.</p>\n<p>Based on these findings, the GDEM validation team recommends the release of the GDEM2 to the public, acknowledging that, while vastly improved, some artifacts still exist which could affect its utility in certain applications.</p>","language":"English","publisher":"NASA","usgsCitation":"Tachikawa, T., Kaku, M., Iwasaki, A., Gesch, D.B., Oimoen, M.J., Zhang, Z., Danielson, J.J., Krieger, T., Curtis, B., Haase, J., Abrams, M., and Carabajal, C., 2011, ASTER Global Digital Elevation Model Version 2 - summary of validation results (2), 27 p.","productDescription":"27 p","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032819","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310884,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://asterweb.jpl.nasa.gov/gdem.asp"}],"edition":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389741e4b0d6133fe72f94","contributors":{"compilers":[{"text":"Meyer, Dave","contributorId":149614,"corporation":false,"usgs":false,"family":"Meyer","given":"Dave","email":"","affiliations":[],"preferred":false,"id":578959,"contributorType":{"id":3,"text":"Compilers"},"rank":1}],"authors":[{"text":"Tachikawa, Tetushi","contributorId":149604,"corporation":false,"usgs":false,"family":"Tachikawa","given":"Tetushi","email":"","affiliations":[],"preferred":false,"id":578947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaku, 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,{"id":70041534,"text":"70041534 - 2011 - Nearshore disposal of fine-grained sediment in a high-energy environment: Santa Cruz Harbor case study","interactions":[],"lastModifiedDate":"2015-10-29T14:11:23","indexId":"70041534","displayToPublicDate":"2015-07-07T09:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Nearshore disposal of fine-grained sediment in a high-energy environment: Santa Cruz Harbor case study","docAbstract":"<div data-canvas-width=\"262.2958768363543\">Current regulations in California prohibit the disposal of more than 20% fine-grained sediment in the coastal zone; this threshold is currently being investigated to determine if this environmental regulation can be improved upon. A field monitoring and numerical modeling experiment took place late 2 009 to determine the fate of fine-grained dredge disposal material from Santa Cruz Harbor, California, U.S.A. A multi-nested, hydrodynamic-sediment transport modeling approach was used to simulate the direction and dispersal of the dredge plume. Result s show that the direction and dispersal of the plume was influenced by the wave &nbsp;climate, a large proportion of which moved in a easterly direction during wave events. Therefore it is vitally important to accurately simulate the tides, waves, currents, temperature and salinity when modeling the dispersal of the fine-grained dredge plume.&nbsp;</div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"The Proceedings of the Coastal Sediments","conferenceDate":"May 2-6, 2011","language":"English","publisher":"World Scientific Publishing Co.","publisherLocation":"Miami, FL","usgsCitation":"Cronin, K., van Ormondt, M., Storlazzi, C., Presto, K., and Tonnon, P.K., 2011, Nearshore disposal of fine-grained sediment in a high-energy environment: Santa Cruz Harbor case study, v. 1, 12 p.","productDescription":"12 p.","startPage":"616","endPage":"628","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026294","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Cruz","otherGeospatial":"Santa Cruz Harbor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.99562072753906,\n              36.982671984721016\n            ],\n            [\n              -122.02978134155273,\n              36.97992941311725\n            ],\n            [\n              -122.02703475952148,\n              36.951675173114715\n            ],\n            [\n              -122.00042724609374,\n              36.954281585675965\n            ],\n            [\n              -121.99287414550781,\n              36.95798528166882\n            ],\n            [\n              -121.98720932006836,\n              36.96991818785987\n            ],\n            [\n              -121.98875427246092,\n              36.97650105959537\n            ],\n            [\n              -121.99562072753906,\n              36.982671984721016\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5633433ee4b048076347eed4","contributors":{"editors":[{"text":"Rosati, Julie D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":578722,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":578723,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Roberts, Tiffany M.","contributorId":114195,"corporation":false,"usgs":false,"family":"Roberts","given":"Tiffany","email":"","middleInitial":"M.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":578724,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Cronin, Katherine","contributorId":27505,"corporation":false,"usgs":true,"family":"Cronin","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":578717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Ormondt, Maarten","contributorId":50181,"corporation":false,"usgs":true,"family":"van Ormondt","given":"Maarten","affiliations":[],"preferred":false,"id":578718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D.","contributorId":38914,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":578719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Presto, Katherine","contributorId":88471,"corporation":false,"usgs":true,"family":"Presto","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":578720,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tonnon, Pieter K.","contributorId":79525,"corporation":false,"usgs":true,"family":"Tonnon","given":"Pieter","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":578721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004342,"text":"70004342 - 2011 - Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling","interactions":[],"lastModifiedDate":"2015-11-05T12:52:21","indexId":"70004342","displayToPublicDate":"2015-07-06T09:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling","docAbstract":"<p>Assessing the sustainability of International policy or urban development requires consideration of the impacts of these decisions on Ecosystem Services, or the values that humans receive from the ecosystem, including market-land price, environmental, and human well-being values. Hedonic modeling helps to identify the market land price, considering the price is determined by multiple factors affecting it. In U.S. portions of the bi-national Santa Cruz Watershed (SCW), situated at the Arizona-Sonora International border, natural amenities like the riparian corridor and green space have been documented as positive amenities that boost local real estate.</p>\n<p>The goal of this research is to isolate the effects of the US-Mexico border and known environmental or natural amenities or disamenities on housing prices in the binational watershed, while controlling for housing stock characteristics and social-environmental vulnerability. In the ultimate analysis, the mean house values within census blocks will be used to represent local housing stock. A human well-being index that measures people&rsquo;s socio-environmental vulnerability for the entire SCW is in publication that is based on access to infrastructure, number of bedrooms per house and other social data from the binational census and local colonias database will also be compared. The hedonic pricing method will be applied to statistically estimate a function that relates property values to the variables described.</p>\n<p>This presentation will provide a synopsis of the quality of life and hedonics literature review used to develop this research agenda. Variables relevant for local environmental management, having significant effects on property values, will be discussed. The final results obtained from this study can be used determine the benefits of preserving or developing land binationally and will be uploaded to the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM), an online Ecosystem Services tool, being created to promote sustainable development in the Borderlands.</p>","largerWorkTitle":"Proceedings of Santa Cruz River Researchers' Day","conferenceTitle":"Santa Cruz River: Researchers’ Day","conferenceDate":"March 29, 2011","conferenceLocation":"Tucson, AZ","publisher":"Sonoran Institute","usgsCitation":"Amaya, G., Norman, L.M., and Frisvold, G., 2011, Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling, <i>in</i> Proceedings of Santa Cruz River Researchers' Day, Tucson, AZ, March 29, 2011.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028456","costCenters":[],"links":[{"id":311050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311049,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.sonoraninstitute.org/images/stories/pdfs/Events/SCRResearchDays/scrrd%202011%20proceedings.pdf"}],"country":"Mexico, United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563c8bbfe4b0831b7d61eff5","contributors":{"authors":[{"text":"Amaya, Gladys","contributorId":86212,"corporation":false,"usgs":true,"family":"Amaya","given":"Gladys","email":"","affiliations":[],"preferred":false,"id":579400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":579401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":579402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004579,"text":"70004579 - 2011 - Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A.","interactions":[],"lastModifiedDate":"2018-02-21T12:56:41","indexId":"70004579","displayToPublicDate":"2015-07-05T00:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A.","docAbstract":"<p>Droughts occur repeatedly in the United States resulting in billions of dollars of damage. Monitoring and reporting on drought conditions is a necessary function of government agencies at multiple levels. A team of Federal and university partners developed a drought decision- support tool with higher spatial resolution relative to traditional climate-based drought maps. The Vegetation Drought Response Index (VegDRI) indicates general canopy vegetation condition assimilation of climate, satellite, and biophysical data via geospatial modeling. In VegDRI, complementary drought-related data are merged to provide a comprehensive, detailed representation of drought stress on vegetation. Time-series data from daily polar-orbiting earth observing systems [Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS)] providing global measurements of land surface conditions are ingested into VegDRI. Inter-sensor compatibility is required to extend multi-sensor data records; thus, translations were developed using overlapping observations to create consistent, long-term data time series.&nbsp;</p>","largerWorkTitle":"34th International Symposium on Remote Sensing of Environment: The GEOSS Era: Towards Operational Environmental Monitoring","conferenceTitle":"34th International Symposium on Remote Sensing of Environment","conferenceDate":"April 10-15,  2011","conferenceLocation":"Sydney, Australia","language":"English","usgsCitation":"Brown, J.F., Miura, T., Wardlow, B., and Gu, Y., 2011, Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A., <i>in</i> 34th International Symposium on Remote Sensing of Environment: The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, Australia, April 10-15,  2011, 5 p.","productDescription":"5 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,{"id":70004245,"text":"70004245 - 2011 - Stable isotopes of transition and post-transition metals as tracers in environmental studies","interactions":[],"lastModifiedDate":"2015-10-28T11:12:46","indexId":"70004245","displayToPublicDate":"2015-05-11T09:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":13,"text":"Handbook"},"chapter":"10","title":"Stable isotopes of transition and post-transition metals as tracers in environmental studies","docAbstract":"<p>The transition and post-transition metals, which include the elements in Groups 3&ndash;12 of the Periodic Table, have a broad range of geological and biological roles as well as industrial applications and thus are widespread in the environment. Interdisciplinary research over the past decade has resulted in a broad understanding of the isotope systematics of this important group of elements and revealed largely unexpected variability in isotope composition for natural materials. Significant kinetic and equilibrium isotope fractionation has been observed for redox sensitive metals such as iron, chromium, copper, molybdenum and mercury, and for metals that are not redox sensitive in nature such as cadmium and zinc. In the environmental sciences, the isotopes are increasingly being used to understand important issues such as tracing of metal contaminant sources and fates, unraveling metal redox cycles, deciphering metal nutrient pathways and cycles, and developing isotope biosignatures that can indicate the role of biological activity in ancient and modern planetary systems.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Environmental Isotope Geochemistry","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-10637-8_10","usgsCitation":"Bullen, T.D., 2011, Stable isotopes of transition and post-transition metals as tracers in environmental studies, v. I, 27 p., https://doi.org/10.1007/978-3-642-10637-8_10.","productDescription":"27 p.","startPage":"177","endPage":"203","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027317","costCenters":[],"links":[{"id":310715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"I","publicComments":"Series: Advances in Isotope Geochemistry","noUsgsAuthors":false,"publicationDate":"2011-06-30","publicationStatus":"PW","scienceBaseUri":"5631f204e4b0c1dd0339e4fc","contributors":{"editors":[{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":578529,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bullen, Tomas D.","contributorId":64792,"corporation":false,"usgs":true,"family":"Bullen","given":"Tomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":578528,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70157482,"text":"70157482 - 2011 - Sedimentary phosphorus cycling and a phosphorus mass balance for the Green Bay (Lake Michigan) ecosystem","interactions":[],"lastModifiedDate":"2018-02-06T12:18:14","indexId":"70157482","displayToPublicDate":"2015-04-06T08:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentary phosphorus cycling and a phosphorus mass balance for the Green Bay (Lake Michigan) ecosystem","docAbstract":"<p>The tributaries of Green Bay have long been recognized as major sources of phosphorus in the Lake Michigan basin. The status of Green Bay as a sink or source of phosphorus for Lake Michigan proper has been less well defined. The bay receives nearly 70% of its annual load of phosphorus ( 700 metric tons (t) &middot; year-1) from a single source: the Fox River. Most of this phosphorus is deposited in sediments accumulating at rates that reach 160 mg &middot; cm-2 &middot; year-1 with an average of 20 mg &middot; cm-2 &middot; year-1. The phosphorus content of these sediments varies from &lt;5 to &gt;70 &micro;mol &middot; g-1. Deposition is highly focused, with ~70% of the total sediment accumulation and at least 80% of the phosphorus burial occurring within 20% of the surface area of the bay. Diagenetic and stoichiometric models of phosphorus cycling imply that &gt;80% of the phosphorus deposited is permanently buried. External phosphorus loading to the bay is combined with sediment fluxes of phophorus to arrive at a simple phosphorus budget. Green Bay acts as an efficient nutrient trap, with the sediments retaining an estimated 70-90% of the external phosphorus inputs before flowing into Lake Michigan.</p>","language":"English","publisher":"National Research Council","doi":"10.1139/f96-247","usgsCitation":"Klump, J., Edgington, D.N., Sager, P., and Robertson, D.M., 2011, Sedimentary phosphorus cycling and a phosphorus mass balance for the Green Bay (Lake Michigan) ecosystem: Canadian Journal of Fisheries and Aquatic Sciences, v. 54, no. 1, p. 10-26, https://doi.org/10.1139/f96-247.","productDescription":"17 p.","startPage":"10","endPage":"26","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":308514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Green Bay, Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.4129638671875,\n              45.954968795113395\n            ],\n            [\n              -86.87713623046875,\n              46.02557483126793\n            ],\n            [\n              -87.21771240234375,\n              45.84602106744846\n            ],\n            [\n              -87.72308349609375,\n              45.26715476332791\n            ],\n            [\n              -88.11309814453125,\n              44.71941709214612\n            ],\n            [\n              -88.15155029296875,\n              44.49846441646551\n            ],\n            [\n              -87.94830322265625,\n              44.45534933372025\n            ],\n            [\n              -87.47863769531249,\n              44.41416430998939\n            ],\n            [\n              -86.56951904296875,\n              45.589056224816716\n            ],\n            [\n              -86.41571044921875,\n              45.70426120956248\n            ],\n            [\n              -86.2261962890625,\n              45.88044870856469\n            ],\n            [\n              -86.4129638671875,\n              45.954968795113395\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56051ee5e4b058f706e5131a","contributors":{"authors":[{"text":"Klump, J.V.","contributorId":107468,"corporation":false,"usgs":false,"family":"Klump","given":"J.V.","email":"","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":573281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edgington, D. 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,{"id":70159491,"text":"70159491 - 2011 - Remote sensing of soil moisture using airborne hyperspectral data","interactions":[],"lastModifiedDate":"2015-11-12T12:08:37","indexId":"70159491","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of soil moisture using airborne hyperspectral data","docAbstract":"<p><span>Landscape assessment of soil moisture is critical to understanding the hydrological cycle at the regional scale and in broad-scale studies of biophysical processes affected by global climate changes in temperature and precipitation. Traditional efforts to measure soil moisture have been principally restricted to&nbsp;</span><i>in situ</i><span>&nbsp;measurements, so remote sensing techniques are often employed. Hyperspectral sensors with finer spatial resolution and narrow band widths may offer an alternative to traditional multispectral analysis of soil moisture, particularly in landscapes with high spatial heterogeneity. This preliminary research evaluates the ability of remotely sensed hyperspectral data to quantify soil moisture for the Little River Experimental Watershed (LREW), Georgia. An airborne hyperspectral instrument with a short-wavelength infrared (SWIR) sensor was flown in 2005 and 2007 and the results were correlated to&nbsp;</span><i>in situ</i><span>&nbsp;soil moisture values. A significant statistical correlation (</span><i>R</i><span>&nbsp;</span><sup>2</sup><span>&nbsp;value above 0.7 for both sampling dates) for the hyperspectral instrument data and the soil moisture probe data at 5.08 cm (2 inches) was determined. While models for the 20.32 cm (8 inches) and 30.48 cm (12 inches) depths were tested, they were not able to estimate soil moisture to the same degree.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.2747/1548-1603.48.4.522","usgsCitation":"Finn, M.P., Lewis, M., Bosch, D.D., Giraldo, M., Yamamoto, K.H., Sullivan, D.G., Kincaid, R., Luna, R., Allam, G.K., Kvien, C., and Williams, M.S., 2011, Remote sensing of soil moisture using airborne hyperspectral data: GIScience and Remote Sensing, v. 48, no. 4, p. 522-540, https://doi.org/10.2747/1548-1603.48.4.522.","productDescription":"19 p.","startPage":"522","endPage":"540","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027730","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":311209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5645c64de4b0e2669b30f214","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Mark (David)","contributorId":149811,"corporation":false,"usgs":false,"family":"Lewis","given":"Mark (David)","affiliations":[],"preferred":false,"id":579666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosch, David D.","contributorId":149812,"corporation":false,"usgs":false,"family":"Bosch","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":579667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, Mario","contributorId":66094,"corporation":false,"usgs":true,"family":"Giraldo","given":"Mario","email":"","affiliations":[],"preferred":false,"id":579668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamamoto, Kristina H. khyamamoto@usgs.gov","contributorId":4490,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Kristina","email":"khyamamoto@usgs.gov","middleInitial":"H.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Dana G.","contributorId":149813,"corporation":false,"usgs":false,"family":"Sullivan","given":"Dana","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":579670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincaid, Russell","contributorId":149814,"corporation":false,"usgs":false,"family":"Kincaid","given":"Russell","email":"","affiliations":[],"preferred":false,"id":579671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luna, Ronaldo","contributorId":64970,"corporation":false,"usgs":true,"family":"Luna","given":"Ronaldo","email":"","affiliations":[],"preferred":false,"id":579672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allam, Gopala Krishna","contributorId":149815,"corporation":false,"usgs":false,"family":"Allam","given":"Gopala","email":"","middleInitial":"Krishna","affiliations":[],"preferred":false,"id":579673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvien, Craig","contributorId":33434,"corporation":false,"usgs":true,"family":"Kvien","given":"Craig","email":"","affiliations":[],"preferred":false,"id":579674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Michael S.","contributorId":149816,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":579675,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70173591,"text":"70173591 - 2011 - Effects of grade control structures on fish passage, biological assemblages, and hydraulic environments in western Iowa streams: a multidisciplinary review","interactions":[],"lastModifiedDate":"2016-06-07T16:56:38","indexId":"70173591","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of grade control structures on fish passage, biological assemblages, and hydraulic environments in western Iowa streams: a multidisciplinary review","docAbstract":"<p><span>Land use changes and channelization of streams in the deep loess region of western Iowa have led to stream channel incision, altered flow regimes, increased sediment inputs, decreased habitat diversity and reduced lateral connectivity of streams and floodplains. Grade control structures (GCSs) are built in streams to prevent further erosion, protect infrastructure and reduce sediment loads. However, GCS can have a detrimental impact on fisheries and biological communities. We review three complementary biological and hydraulic studies on the effects of GCS in these streams. GCS with steep (&ge;1:4 rise&thinsp;:&thinsp;run) downstream slopes severely limited fish passage, but GCS with gentle slopes (&le;1:15) allowed greater passage. Fish assemblages were dominated by species tolerant of degradation, and Index of Biotic Integrity (IBI) scores were indicative of fair or poor biotic integrity. More than 50% of fish species had truncated distributions. After modification of GCS to reduce slopes and permit increased passage, IBI scores increased and several species were detected further upstream than before modification. Total macroinvertebrate density, biomass and taxonomic diversity and abundance of ecologically sensitive taxa were greater at GCS than in reaches immediately upstream, downstream or &ge;1&thinsp;km from GCS. A hydraulic study confirmed results from fish passage studies; minimum depths and maximum current velocities at GCS with gentle slopes (&le;1:15) were more likely to meet minimum criteria for catfish passage than GCS with steeper slopes. Multidisciplinary approaches such as ours will increase understanding of GCS-associated factors influencing fish passage, biological assemblage structure and other ecological relationships in streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.1600","usgsCitation":"Thomas, J., Culler, M., Dermisis, D., Pierce, C., Papanicolaou, A., Stewart, T., and Larson, C., 2011, Effects of grade control structures on fish passage, biological assemblages, and hydraulic environments in western Iowa streams: a multidisciplinary review: River Research and Applications, v. 29, no. 3, p. 389-398, https://doi.org/10.1002/rra.1600.","productDescription":"10 p.","startPage":"389","endPage":"398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021573","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474699,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/136","text":"External Repository"},{"id":323235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.383056640625,\n              42.374778361114195\n            ],\n            [\n              -94.33959960937499,\n              42.39912215986002\n            ],\n            [\n              -94.22973632812499,\n              40.58058466412764\n            ],\n            [\n              -95.833740234375,\n              40.588928169693745\n            ],\n            [\n              -95.888671875,\n              41.178653972331695\n            ],\n            [\n              -96.075439453125,\n              41.541477666790286\n            ],\n            [\n              -96.119384765625,\n              41.72213058512578\n            ],\n            [\n              -96.2841796875,\n              42.147114459220994\n            ],\n            [\n              -96.361083984375,\n              42.261049162113856\n            ],\n            [\n              -96.383056640625,\n              42.374778361114195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-11-10","publicationStatus":"PW","scienceBaseUri":"5757f032e4b04f417c24da52","contributors":{"authors":[{"text":"Thomas, J.T.","contributorId":80119,"corporation":false,"usgs":true,"family":"Thomas","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":637777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culler, M.E.","contributorId":171509,"corporation":false,"usgs":false,"family":"Culler","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":637778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dermisis, D.C.","contributorId":13465,"corporation":false,"usgs":true,"family":"Dermisis","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":637779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Papanicolaou, A.N.","contributorId":10208,"corporation":false,"usgs":true,"family":"Papanicolaou","given":"A.N.","email":"","affiliations":[],"preferred":false,"id":637780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, T.W.","contributorId":78558,"corporation":false,"usgs":true,"family":"Stewart","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":637781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larson, C.J.","contributorId":35957,"corporation":false,"usgs":true,"family":"Larson","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":637782,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047223,"text":"70047223 - 2011 - An overview of estrogen-associated endocrine disruption in fishes: Evidence of effects on reproductive and immune physiology","interactions":[],"lastModifiedDate":"2018-10-03T11:04:04","indexId":"70047223","displayToPublicDate":"2013-01-01T15:06:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An overview of estrogen-associated endocrine disruption in fishes: Evidence of effects on reproductive and immune physiology","docAbstract":"Simply and perhaps intuitively defined, endocrine disruption is the abnormal modulation of normal hormonal physiology by exogenous chemicals. In fish, endocrine disruption of the reproductive system has been observed worldwide in numerous species and is known to affect both males and females. Observations of biologically relevant endocrine disruption most commonly occurs near waste water treatment plant outfalls, pulp and paper mills, and areas of high organic loading sometimes associated with agricultural practices. Estrogenic endocrine disrupting chemicals (EEDCs) have received an overwhelmingly disproportionate amount of scientific attention compared to other EDCs in recent years. In male fishes, exposure to EEDCs can lead to the induction of testicular oocytes (intersex), measurable plasma vitellogenin protein, altered sex steroid profiles, abnormal spawning behavior, skewed population sex ratios, and lessened reproductive success. Interestingly, contemporary research purports that EDCs modulate aspects of non-reproductive physiology including immune function. Here we present an overview of endocrine disruption in fishes associated with estrogenic compounds, implications of this phenomenon, and examples of EDC related research findings by our group in the Potomac River Watershed, USA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd Bilateral Conference Between the United States and Russia","conferenceDate":"July 12-20, 2009","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"Khaled bin Sultan Living Oceans Foundation","publisherLocation":"Landover, MD","usgsCitation":"Iwanowicz, L.R., and Blazer, V., 2011, An overview of estrogen-associated endocrine disruption in fishes: Evidence of effects on reproductive and immune physiology, <i>in</i> Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States, Shepherdstown, WV, July 12-20, 2009, p. 266-275.","productDescription":"10 p.","startPage":"266","endPage":"275","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":275405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f2541fe4b0279fe2e1bfe7","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047065,"text":"70047065 - 2011 - Hyperspectral remote sensing of vegetation","interactions":[],"lastModifiedDate":"2013-07-16T12:46:30","indexId":"70047065","displayToPublicDate":"2013-01-01T12:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Hyperspectral remote sensing of vegetation","docAbstract":"Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research.","language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","doi":"10.1201/b11222","isbn":"978-1-4398-4537-0","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Hyperspectral remote sensing of vegetation, xxxv, 705 p., https://doi.org/10.1201/b11222.","productDescription":"xxxv, 705 p.","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":275062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275067,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1201/b11222"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e66b68e4b017be1ba34792","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":480957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":480958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":480959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046863,"text":"70046863 - 2011 - Characterizing climate-change impacts on the 1.5-yr flood flow in selected basins across the United States: a probabilistic approach","interactions":[],"lastModifiedDate":"2013-07-11T11:21:08","indexId":"70046863","displayToPublicDate":"2013-01-01T11:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing climate-change impacts on the 1.5-yr flood flow in selected basins across the United States: a probabilistic approach","docAbstract":"The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) model was applied to basins in 14 different hydroclimatic regions to determine the sensitivity and variability of the freshwater resources of the United States in the face of current climate-change projections. Rather than attempting to choose a most likely scenario from the results of the Intergovernmental Panel on Climate Change, an ensemble of climate simulations from five models under three emissions scenarios each was used to drive the basin models.\n\nClimate-change scenarios were generated for PRMS by modifying historical precipitation and temperature inputs; mean monthly climate change was derived by calculating changes in mean climates from current to various future decades in the ensemble of climate projections. Empirical orthogonal functions (EOFs) were fitted to the PRMS model output driven by the ensemble of climate projections and provided a basis for randomly (but representatively) generating realizations of hydrologic response to future climates. For each realization, the 1.5-yr flood was calculated to represent a flow important for sediment transport and channel geomorphology. The empirical probability density function (pdf) of the 1.5-yr flood was estimated using the results across the realizations for each basin. Of the 14 basins studied, 9 showed clear temporal shifts in the pdfs of the 1.5-yr flood projected into the twenty-first century. In the western United States, where the annual peak discharges are heavily influenced by snowmelt, three basins show at least a 10% increase in the 1.5-yr flood in the twenty-first century; the remaining two basins demonstrate increases in the 1.5-yr flood, but the temporal shifts in the pdfs and the percent changes are not as distinct. Four basins in the eastern Rockies/central United States show at least a 10% decrease in the 1.5-yr flood; the remaining two basins demonstrate decreases in the 1.5-yr flood, but the temporal shifts in the pdfs and the percent changes are not as distinct. Two basins in the eastern United States show at least a 10% decrease in the 1.5-yr flood; the remaining basin shows little or no change in the 1.5-yr flood.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/2010EI379.1","usgsCitation":"Walker, J.F., Hay, L.E., Markstrom, S., and Dettinger, M., 2011, Characterizing climate-change impacts on the 1.5-yr flood flow in selected basins across the United States: a probabilistic approach: Earth Interactions, v. 15, no. 18, p. 1-16, https://doi.org/10.1175/2010EI379.1.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-023689","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei379.1","text":"Publisher Index Page"},{"id":274866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274699,"type":{"id":15,"text":"Index Page"},"url":"https://journals.ametsoc.org/doi/abs/10.1175/2010EI379.1"},{"id":274865,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010EI379.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"15","issue":"18","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"51dfd3e0e4b0d332bf22f360","contributors":{"authors":[{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":480490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":480491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":480492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045146,"text":"70045146 - 2011 - On the contribution of reconstruction labor wages and material prices to demand surge","interactions":[],"lastModifiedDate":"2013-07-31T10:58:24","indexId":"70045146","displayToPublicDate":"2013-01-01T10:49:56","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":209,"text":"SESM","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"11-1","title":"On the contribution of reconstruction labor wages and material prices to demand surge","docAbstract":"Demand surge is understood to be a socio-economic phenomenon of large-scale natural disasters, most commonly explained by higher repair costs (after a large- versus small-scale disaster) resulting from higher material prices and labor wages. This study tests this explanation by developing quantitative models for the cost change of sets, or \"baskets,\" of repairs to damage caused by Atlantic hurricanes making landfall on the mainland United States. We define six such baskets, representing the total repair cost, and material and labor components, each for a typical residential or commercial property. We collect cost data from the leading provider of these data to insurance claims adjusters in the United States, and we calculate the cost changes from July to January for nine Atlantic hurricane seasons at \ffifty-two cities on the Atlantic and Gulf Coasts. The data show that: changes in labor costs drive the changes in total repair costs; cost changes can vary significantly by geographic region and year; and cost changes for the residential basket of repairs are more volatile than the cost changes for the commercial basket. We then propose a series of multilevel regression models to predict the cost changes by considering several combinations of the following explanatory variables: the largest gradient wind speed at a city in a hurricane season; the number of tropical storms in a hurricane season whose center passes within 200 km of a city; and cost changes in the first two quarters of the year. We also allow the coefficients of the regression model to be stochastic, varying across groups defined by region of the Southeastern United States and year. Our best models predict that, for any city on the Gulf or Atlantic Coasts in any hurricane season, the residential total repair cost changes vary from 0.01 to 0.25, depending on the wind speed and number of storms, with an uncertainty of 0.1 (two standard errors of prediction) given the wind speed and number of storms. The commercial total repair cost changes vary from 0.005 to 0.15 with an uncertainty of 0.08. Our models including wind speed, the number of storms affecting a city, and cost changes in the \ffirst half of the year explain roughly half of the observed variability in cost changes. Additional explanatory variables that we have not considered may account for the remaining variability. Given these models, however, there is still considerable uncertainty in their predictions. This uncertainty arises from variations between groups defined by region and year, not from variations within a given region and year.","language":"English","publisher":"University of Colorado","publisherLocation":"Boulder, CO","usgsCitation":"Olsen, A.H., and Porter, K.A., 2011, On the contribution of reconstruction labor wages and material prices to demand surge: SESM 11-1, 81 p.","productDescription":"81 p.","ipdsId":"IP-042051","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":275620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275619,"type":{"id":11,"text":"Document"},"url":"https://www.sparisk.com/pubs/Olsen-2011-SESM-Demand-Surge.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa31e5e4b076c3a8d82661","contributors":{"authors":[{"text":"Olsen, Anna H. aolsen@usgs.gov","contributorId":4703,"corporation":false,"usgs":true,"family":"Olsen","given":"Anna","email":"aolsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Porter, Keith A.","contributorId":28883,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476935,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045267,"text":"70045267 - 2011 - Observations of debris flows at Chalk Cliffs, Colorado, USA: Part 2, changes in surface morphometry from terrestrial laser scanning in the summer of 2009","interactions":[],"lastModifiedDate":"2013-07-05T09:31:44","indexId":"70045267","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2122,"text":"Italian Journal of Engineering Geology and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Observations of debris flows at Chalk Cliffs, Colorado, USA: Part 2, changes in surface morphometry from terrestrial laser scanning in the summer of 2009","docAbstract":"High resolution topographic data that quantify changes in channel form caused by sequential debris flows in natural channels are rare at the reach scale. Terrestrial laser scanning (TLS) techniques are utilized to capture morphological changes brought about by a high-frequency of debris-flow events at Chalk Cliffs, Colorado. The purpose of this paper is to compare and contrast the topographic response of a natural channel to the documented debris-flow events. TLS survey data allowed for the generation of high-resolution (2-cm) digital terrain models (DTM) of the channel. A robust network of twelve permanent control points permitted repeat scanning sessions that provided multiple DTM to evaluate fine-scale topographic change associated with three debris-flow events. Difference surfaces from the DTM permit the interpretations of spatial variations in channel morphometry and net volume of material deposited and eroded within and between a series of channel reaches. Each channel reach experienced erosion, deposition, and both net volumetric gains and losses were measured. Analysis of potential relationships between erosion and deposition magnitudes yielded no strong correlations with measures of channel-reach morphometry, suggesting that channel reach-specific predictions of potential erosion or deposition locations or rates cannot be adequately derived from statistical analyses of pre-event channel-reach morphometry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Italian Journal of Engineering Geology and Environment: 5th International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, Padua, Italy - 14-17 June 2011","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Casa Editrice Università La Sapienza","doi":"10.4408/IJEGE.2011-03.B-083","usgsCitation":"Staley, D.M., Wasklewicz, T.A., Coe, J.A., Kean, J.W., McCoy, S.W., and Tucker, G.E., 2011, Observations of debris flows at Chalk Cliffs, Colorado, USA: Part 2, changes in surface morphometry from terrestrial laser scanning in the summer of 2009: Italian Journal of Engineering Geology and Environment, p. 759-768, https://doi.org/10.4408/IJEGE.2011-03.B-083.","productDescription":"10 p.","startPage":"759","endPage":"768","ipdsId":"IP-024532","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274480,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4408/IJEGE.2011-03.B-083"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d8136be4b0b0351701e194","contributors":{"authors":[{"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":477168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wasklewicz, Thad A.","contributorId":39275,"corporation":false,"usgs":true,"family":"Wasklewicz","given":"Thad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":477166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Scott W.","contributorId":94954,"corporation":false,"usgs":true,"family":"McCoy","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":477171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Greg E.","contributorId":23422,"corporation":false,"usgs":true,"family":"Tucker","given":"Greg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477169,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042749,"text":"70042749 - 2011 - Don't forget about the Christchurch earthquake: Lessons learned from this disaster","interactions":[],"lastModifiedDate":"2021-10-25T18:02:49.035973","indexId":"70042749","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1422,"text":"Earth Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Don't forget about the Christchurch earthquake: Lessons learned from this disaster","docAbstract":"<p>In the aftermath of the devastating magnitude-9.0 earthquake and tsunami that struck the Tohoku region of Japan on March 11, attention quickly turned away from a much smaller, but also highly destructive earthquake that struck the city of Christchurch, New Zealand, just a few weeks earlier, on Feb. 22. Both events are stark reminders of human vulnerability to natural disasters and provide a harsh reality check: Even technologically advanced countries with modern building codes are not immune from earthquake disasters. The Christchurch earthquake carried an additional message: Urban devastation can be triggered even by moderate-sized earthquakes.</p>","language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Hamburger, M., and Mooney, W.D., 2011, Don't forget about the Christchurch earthquake: Lessons learned from this disaster: Earth Magazine, v. 56, no. 6, p. 24-26.","productDescription":"3 p.","startPage":"24","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029059","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":269171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269170,"type":{"id":11,"text":"Document"},"url":"https://www.earthmagazine.org/article/dont-forget-about-christchurch-earthquake-lessons-learned-disaster"}],"country":"New Zealand","city":"Christchurch","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.3892,-43.6355 ], [ 172.3892,-43.3908 ], [ 172.8089,-43.3908 ], [ 172.8089,-43.6355 ], [ 172.3892,-43.6355 ] ] ] } } ] }","volume":"56","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e76e4b089809dbf444d","contributors":{"authors":[{"text":"Hamburger, Michael W.","contributorId":77012,"corporation":false,"usgs":true,"family":"Hamburger","given":"Michael W.","affiliations":[],"preferred":false,"id":472157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":472156,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041884,"text":"70041884 - 2011 - Population dynamics of Lake Ontario lake trout during 1985-2007","interactions":[],"lastModifiedDate":"2013-02-28T11:31:32","indexId":"70041884","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of Lake Ontario lake trout during 1985-2007","docAbstract":"Lake trout <i>Salvelinus namaycush</i> were extirpated from Lake Ontario circa 1950 owing to commercial and recreational fishing, predation by sea lampreys <i>Petromyzon marinus</i>, and habitat degradation. Since the 1970s, substantial efforts have been devoted to reestablishing a self-sustaining population through stocking, sea lamprey control, and harvest reduction. Although a stocking-supported population has been established, only limited natural reproduction has been detected. Since the 1990s, surveys have indicated a continuing decline in overall abundance despite fairly static stocking levels. We constructed a statistical catch-at-age model to describe the dynamics of Lake Ontario lake trout from 1985 to 2007 and explore what factor(s) could be causing the declines in abundance. Model estimates indicated that abundance had declined by approximately 76% since 1985. The factor that appeared most responsible for this was an increase in age-1 natural mortality rates from approximately 0.9 to 2.5 between 1985 and 2002. The largest source of mortality for age-2 and older fish was sea lamprey predation, followed by natural and recreational fishing mortality. Exploitation was low, harvest levels being uncertain and categorized by length rather than age. Accurate predictions of fishery harvest and survey catch per unit effort were obtained despite low harvest levels by using atypical data (e.g., numbers stocked as an absolute measure of recruitment) and a flexible modeling approach. Flexible approaches such as this might allow similar assessments for a wide range of lightly exploited stocks. The mechanisms responsible for declining age-1 lake trout survival are unknown, but the declines were coincident with an increase in the proportion of stocked fish that were of the Seneca strain and a decrease in the overall stocking rate. It is possible that earlier studies suggesting that Seneca strain lake trout would be successful in Lake Ontario are no longer applicable given the large ecosystem changes that have occurred subsequent to invasion by dreissenid mussels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2011.635241","usgsCitation":"Brenden, T.O., Bence, J., Lantry, B.F., Lantry, J.R., and Schaner, T., 2011, Population dynamics of Lake Ontario lake trout during 1985-2007: North American Journal of Fisheries Management, v. 31, no. 5, p. 962-979, https://doi.org/10.1080/02755947.2011.635241.","productDescription":"18 p.","startPage":"962","endPage":"979","ipdsId":"IP-027372","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268545,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.635241"},{"id":268546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.1171,43.0971 ], [ -80.1171,44.2941 ], [ -76.0817,44.2941 ], [ -76.0817,43.0971 ], [ -80.1171,43.0971 ] ] ] } } ] }","volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-11-29","publicationStatus":"PW","scienceBaseUri":"51308a96e4b04c194073ae2a","contributors":{"authors":[{"text":"Brenden, Travis O.","contributorId":13876,"corporation":false,"usgs":true,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":470299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":470302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Jana R.","contributorId":28495,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":470300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaner, Ted","contributorId":69939,"corporation":false,"usgs":true,"family":"Schaner","given":"Ted","email":"","affiliations":[],"preferred":false,"id":470301,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043233,"text":"70043233 - 2011 - Characterization of the Sonoran desert as a radiometric calibration target for Earth observing sensors","interactions":[],"lastModifiedDate":"2013-04-20T21:47:20","indexId":"70043233","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the Sonoran desert as a radiometric calibration target for Earth observing sensors","docAbstract":"To provide highly accurate quantitative measurements of the Earth's surface, a comprehensive calibration and validation of the satellite sensors is required. The NASA Moderate Resolution Imaging Spectroradiometer (MODIS) Characterization Support Team, in collaboration with United States Geological Survey, Earth Resources Observation and Science Center, has previously demonstrated the use of African desert sites to monitor the long-term calibration stability of Terra MODIS and Landsat 7 (L7) Enhanced Thematic Mapper plus (ETM+). The current study focuses on evaluating the suitability of the Sonoran Desert test site for post-launch long-term radiometric calibration as well as cross-calibration purposes. Due to the lack of historical and on-going in situ ground measurements, the Sonoran Desert is not usually used for absolute calibration. An in-depth evaluation (spatial, temporal, and spectral stability) of this site using well calibrated L7 ETM+ measurements and local climatology data has been performed. The Sonoran Desert site produced spatial variability of about 3 to 5% in the reflective solar regions, and the temporal variations of the site after correction for view-geometry impacts were generally around 3%. The results demonstrate that, barring the impacts due to occasional precipitation, the Sonoran Desert site can be effectively used for cross-calibration and long-term stability monitoring of satellite sensors, thus, providing a good test site in the western hemisphere.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SPIE","publisherLocation":"http://spie.org/","doi":"10.1117/1.3613963","usgsCitation":"Angal, A., Chander, G., Xiong, X., Choi, T., and Wu, A., 2011, Characterization of the Sonoran desert as a radiometric calibration target for Earth observing sensors: Journal of Applied Remote Sensing, v. 5, no. 1, 059502, https://doi.org/10.1117/1.3613963.","productDescription":"059502","ipdsId":"IP-031051","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.3613963","text":"Publisher Index Page"},{"id":271300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271299,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.3613963"}],"country":"United States;Mexico","otherGeospatial":"Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.0,22.65 ], [ -119.0,34.87 ], [ -108.5,34.87 ], [ -108.5,22.65 ], [ -119.0,22.65 ] ] ] } } ] }","volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e4e4b0e619a5806ec8","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":473200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":473197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":473198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Tae-young","contributorId":89036,"corporation":false,"usgs":true,"family":"Choi","given":"Tae-young","affiliations":[],"preferred":false,"id":473201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":473199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045564,"text":"70045564 - 2011 - Carryover effects associated with winter location affect fitness, social status, and population dynamics in a long-distance migrant","interactions":[],"lastModifiedDate":"2013-04-23T13:53:06","indexId":"70045564","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Carryover effects associated with winter location affect fitness, social status, and population dynamics in a long-distance migrant","docAbstract":"We used observations of individually marked female black brant geese (Branta bernicla nigricans; brant) at three wintering lagoons on the Pacific coast of Baja California—Laguna San Ignacio (LSI), Laguna Ojo de Liebre (LOL), and Bahía San Quintín (BSQ)—and the Tutakoke River breeding colony in Alaska to assess hypotheses about carryover effects on breeding and distribution of individuals among wintering areas. We estimated transition probabilities from wintering locations to breeding and nonbreeding by using multistratum robust-design capture-mark-recapture models. We also examined the effect of breeding on migration to wintering areas to assess the hypothesis that individuals in family groups occupied higher-quality wintering locations. We used 4,538 unique female brant in our analysis of the relationship between winter location and breeding probability. All competitive models of breeding probability contained additive effects of wintering location and the 1997–1998 El Niño–Southern Oscillation (ENSO) event on probability of breeding. Probability of breeding in non-ENSO years was 0.98 &plusmn; 0.02, 0.68 &plusmn; 0.04, and 0.91 &plusmn; 0.11 for females wintering at BSQ, LOL, and LSI, respectively. After the 1997–1998 ENSO event, breeding probability was between 2% (BSQ) and 38% (LOL) lower than in other years. Individuals that bred had the highest probability of migrating the next fall to the wintering area producing the highest probability of breeding.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Chicago Press","doi":"10.1086/662165","usgsCitation":"Sedinger, J.S., Schamber, J.L., Ward, D.H., Nicolai, C.A., and Conant, B., 2011, Carryover effects associated with winter location affect fitness, social status, and population dynamics in a long-distance migrant: American Naturalist, v. 178, no. 5, p. E110-E123, https://doi.org/10.1086/662165.","productDescription":"14 p.","startPage":"E110","endPage":"E123","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":271402,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/662165"},{"id":271403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5177ad62e4b095699adf273d","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":477852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schamber, Jason L.","contributorId":72512,"corporation":false,"usgs":true,"family":"Schamber","given":"Jason","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicolai, Christopher A.","contributorId":107140,"corporation":false,"usgs":true,"family":"Nicolai","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conant, Bruce","contributorId":37596,"corporation":false,"usgs":true,"family":"Conant","given":"Bruce","affiliations":[],"preferred":false,"id":477850,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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