{"pageNumber":"626","pageRowStart":"15625","pageSize":"25","recordCount":46883,"records":[{"id":70157117,"text":"70157117 - 2012 - Use of acoustic telemetry to evaluate survival and behavior of juvenile salmonids at hydroelectric dams: A case study from Rocky Reach Dam, Columbia River, USA: Chapter 8.1","interactions":[],"lastModifiedDate":"2022-11-07T17:18:47.898501","indexId":"70157117","displayToPublicDate":"2012-09-01T07:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Use of acoustic telemetry to evaluate survival and behavior of juvenile salmonids at hydroelectric dams: A case study from Rocky Reach Dam, Columbia River, USA: Chapter 8.1","docAbstract":"<p>Telemetry provides a powerful and flexible tool for studying fish and other aquatic animals, and its use has become increasingly commonplace. 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H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":571722,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Steigl, Tracy W.","contributorId":147448,"corporation":false,"usgs":false,"family":"Steigl","given":"Tracy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":571719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":571718,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043666,"text":"70043666 - 2012 - Atlas of nonindigenous marine and estuarine species in the North Pacific","interactions":[],"lastModifiedDate":"2016-05-03T14:51:29","indexId":"70043666","displayToPublicDate":"2012-09-01T03:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Atlas of nonindigenous marine and estuarine species in the North Pacific","docAbstract":"<h1>Executive Summary</h1>\n<p>Marine and estuarine nonindigenous species (NIS) are found across the world&rsquo;s oceans, and designing effective management strategies to mitigate this economic, ecological and human health threat requires a basic understanding of the existing invasion patterns at regional to global scales. However, to date, syntheses at ocean basin scales have essentially been nonexistent. To fill the gap for the North Pacific, we synthesized the distributions, invasion history, environmental tolerances, and natural history of the near-coastal nonindigenous species (NIS) reported from the member countries of the North Pacific Marine Science Organization (PICES; United States, Canada, China, Republic of Korea, Japan, and Russia). The hierarchical &ldquo;Marine Ecoregions of the World&rdquo; (MEOW) biogeographic schema was used as the framework for assessing species&rsquo; distributions, with the modification that we added a &ldquo;region&rdquo; level to differentiate eastern and western sides of oceans. The two North Pacific regions are the Northeast Pacific (NEP), which extends from the Gulf of California to the Aleutian Islands, and the Northwest Pacific (NWP), which extends from the East China Sea to the Kamchatka Shelf. To have complete coverage of the United States, we included the MEOW Hawaii Ecoregion as a separate reporting unit. To have complete coverage of Japan and China, we combined five MEOW ecoregions in southern China and Japan into the North Central-Indo Pacific (NCIP) Region. The various types of information were synthesized in a Microsoft Access database, the &ldquo;PICES Nonindigenous Species Information System&rdquo;, which is further described in the &ldquo;User&rsquo;s Guide and Metadata for the PICES Nonindigenous Species Information System&rdquo; (Lee et al., 2012). The PICES database was then used to generate two-page &ldquo;species profiles&rdquo; that map the native and introduced distributions of each species and provide a standardized summary of its invasion history, environmental tolerances, and natural history. These species profiles form the bulk of the &ldquo;Atlas of Nonindigenous Marine and Estuarine Species in the North Pacific&rdquo;.</p>\n<p>A total of 747 near-coastal nonindigenous species were identified in the PICES countries, with four phyla (Arthropoda, Chordata, Mollusca, and Annelida) constituting more than 70% of these invaders. The NEP and Hawaii have similar numbers of reported nonindigenous species, 368 and 347, respectively. In comparison, the NWP has about 60% of the number of reported NIS, 208. The NCIP contains only 73 NIS, though there is limited information for these ecoregions. When evaluated at an individual MEOW ecoregion scale, the Hawaii Ecoregion was the most invaded with 347 invaders, followed by the Northern California Ecoregion, which includes the San Francisco Estuary, with 287 NIS. The most invaded ecoregion in the NWP was the Central Kuroshio Current Ecoregion, which includes Tokyo Bay, with 87 reported NIS. Eight potential reasons for this geographical discrepancy in the extent of invasion were considered. The two most important appear to be: 1) the milder temperature regimes in the NEP and Hawaii are more conducive for NWP species to invade the NEP and Hawaii than the reverse and 2) there has been a greater search effort for NIS in Hawaii and the NEP at least for certain taxonomic groups.</p>\n<p>In terms of how the NIS were transported, hull fouling was potentially the most important vector in the NEP, NWP, and Hawaii, with ballast water discharges the second most important in all three regions. Intentional stocking and aquaculture escapees were relatively more important in the NWP than the NEP or Hawaii, reflecting the extensive aquaculture in Asia. Aquaculture associated species (i.e., aquaculture hitchhikers) was relatively important in the NEP, reflecting the historical influx of invaders with the importation of Atlantic and Pacific oysters.&nbsp;</p>","language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"Lee, and Reusser, D.A., 2012, Atlas of nonindigenous marine and estuarine species in the North Pacific, xxv,1915.","productDescription":"xxv,1915","numberOfPages":"1943","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040943","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320903,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://nepis.epa.gov/Exe/ZyNET.exe/P100FXIS.txt?ZyActionD=ZyDocument&Client=EPA&Index=2011%20Thru%202015&Docs=&Query=Atlas%20nonindigenous%20marine%20estuarine%20species%20North%20Pacific%20&Time=&EndTime=&SearchMethod=2&TocRestrict=n&Toc=&TocEntry=&QField=&QFieldYear=&QFieldMonth=&QFieldDay=&UseQField=&IntQFieldOp=0&ExtQFieldOp=0&XmlQuery=&File=D%3A%5CZYFILES%5CINDEX%20DATA%5C11THRU15%5CTXT%5C00000006%5CP100FXIS.txt&User=ANONYMOUS&Password=anonymous&SortMethod=-%7Ch&MaximumDocuments=15&FuzzyDegree=0&ImageQuality=r85g16/r85g16/x150y150g16/i500&Display=hpfr&DefSeekPage=x&SearchBack=ZyActionL&Back=ZyActionS&BackDesc=Results%20page&MaximumPages=1&ZyEntry=1&SeekPage=x"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5729cbade4b0b13d3919a2e3","contributors":{"authors":[{"text":"Lee, Henry II","contributorId":115628,"corporation":false,"usgs":true,"family":"Lee","suffix":"Henry II","affiliations":[],"preferred":false,"id":516730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040973,"text":"70040973 - 2012 - A history of telemetry in fishery research","interactions":[{"subject":{"id":70040973,"text":"70040973 - 2012 - A history of telemetry in fishery research","indexId":"70040973","publicationYear":"2012","noYear":false,"chapter":"2","title":"A history of telemetry in fishery research"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"id":1}],"isPartOf":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"lastModifiedDate":"2022-12-20T17:41:08.073877","indexId":"70040973","displayToPublicDate":"2012-09-01T02:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"A history of telemetry in fishery research","docAbstract":"<p>Biotelemetry has been defined as “the instrumental technique for gaining and transmitting information from a living organism and its environment to a remote observer” (Slater 1965). Biotelemetry typically utilizes wireless transmission of either an audible signal or electronic data to determine location of a tagged animal. Fisheries researchers use location information to gain a variety of insights into migration, habitat use, behavior, productivity, or survival of fish. Biotelemetry can be divided into two basic categories, acoustic or radio, based on mode of transmission, mechanical or electromagnetic energy, and operating frequency. Most acoustic systems in use today transmit at low frequency, between 30 and 300 kHz, while most radio systems transmit at very high frequency, between 30 and 300 MHz (Sisak and Lotimer 1998).</p><p>Acoustic telemetry is based on the principals of sonar (sound navigation and ranging), which was developed to detect submarines during World War I. The properties of acoustic systems favor their use in deep waters with high conductivity and low turbulence (Winter 1996). Radio telemetry is based on the principals of wireless radio communication, which were first demonstrated by Nikola Tesla in 1893. Radio systems are best suited in shallow waters with relatively low conductivity but have the added benefit of improved signal detection in turbulent conditions and with aerial antennas. Advances in both technologies have resulted in highly efficient transmitter and receiving systems.</p><p>Advancements in products used for animal telemetry over the past 50 years have generally followed those in the electronics field (Figure 1). Bell Laboratories1 ushered in the age of digital electronics with the invention of the transistor in 1947 (Mann 2000). Today transistors are common in everyday items such as radios, televisions, hearing aids, computers, cell phones and even MP3 players. Consumer demand for inexpensive small electronic devices with increased functionality has continually driven advancements in the field of electronics. These advancements have subsequently led to improvements in biotelemetry transmitters and receivers such as miniaturization of components, increased battery performance, and more powerful micro-processing.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.47886/9781934874264.ch2","usgsCitation":"Hockersmith, E., and Beeman, J.W., 2012, A history of telemetry in fishery research, chap. 2 <i>of</i> Telemetry techniques: A user guide for fisheries research, p. 7-19, https://doi.org/10.47886/9781934874264.ch2.","productDescription":"13 p.","startPage":"7","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026746","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":313833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf73ae4b0e7a44bc0f123","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625599,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625600,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625601,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hockersmith, Eric","contributorId":56781,"corporation":false,"usgs":true,"family":"Hockersmith","given":"Eric","email":"","affiliations":[],"preferred":false,"id":515021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":587636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040979,"text":"70040979 - 2012 - Introduction","interactions":[{"subject":{"id":70040979,"text":"70040979 - 2012 - Introduction","indexId":"70040979","publicationYear":"2012","noYear":false,"chapter":"1","title":"Introduction"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"id":1}],"isPartOf":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"lastModifiedDate":"2022-12-20T17:46:38.205406","indexId":"70040979","displayToPublicDate":"2012-09-01T01:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Introduction","docAbstract":"<div class=\"entry-body\"><div class=\"entry-content\"><p>elemetry provides a powerful and flexible tool for studying aquatic animals, making it possible to repeatedly locate and identify individuals in remote or inaccessible settings—a task that would be difficult (if not impossible) to accomplish using other methods. The use of telemetry has increased dramatically in recent years, and its application is limited only by the capabilities of the equipment and the researcher’s imagination. In spite of these advantages, telemetry is equipment-intensive and generally requires more specialized knowledge and training than many other field techniques. The electronic equipment associated with its use can often dazzle, intimidate, and confuse those just starting out. Even experienced users are often hard-pressed to keep up with the technological advances. Answers to such basic questions as “what equipment do I need?” or “how do I get started?” are not always evident or straightforward. These are valid concerns, since the equipment and methods used can affect the success of the study and the quality of information collected.</p><p>The purpose of this book is to provide a guide for using telemetry to study aquatic animals—call it a user’s manual or Telemetry 101. Our principal intent is to provide the basic information to plan, implement, and conduct telemetry studies under field conditions. Considerations related to data collection and interpretations are also discussed. As with any scientific procedure, collecting usable information and accurately interpreting study results depends on an understanding of the underlying principles of the methods used. A wide range of telemetry equipment and field techniques are available. Clearly defined research objectives and knowledge of the various options, capabilities, and limitations of the equipment and methods is essential for developing projects that effectively address the research or management questions being asked. Telemetry is a tool, and like any tool it will only function effectively when used properly.</p></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.47886/9781934874264.ch1","usgsCitation":"2012, Introduction, chap. 1 <i>of</i> Telemetry techniques: A user guide for fisheries research, https://doi.org/10.47886/9781934874264.ch1.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036198","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fcffd0e4b0a6037df2c593","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625670,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625671,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625672,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70040982,"text":"70040982 - 2012 - Preface","interactions":[],"lastModifiedDate":"2016-03-30T15:03:48","indexId":"70040982","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Preface","docAbstract":"<p>Telemetry provides a powerful and flexible tool for studying fish and other aquatic animals, and its use has become increasingly commonplace. However, telemetry is gear intensive and typically requires more specialized knowledge and training than many other field techniques. As with other scientific methods, collecting good data is dependent on an understanding of the underlying principles behind the approach, knowing how to use the equipment and techniques properly, and recognizing what to do with the data collected. This book provides a road map for using telemetry to study aquatic animals, and provides the basic information needed to plan, implement, and conduct a telemetry study under field conditions. Topics include acoustic or radio telemetry study design, tag implantation techniques, radio and acoustic telemetry principles and case studies, and data management and analysis.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Telemetry techniques: A user guide for fisheries research","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","isbn":"978-1-934874-26-4","usgsCitation":"Beeman, J.W., 2012, Preface, chap. <i>of</i> Telemetry techniques: A user guide for fisheries research.","numberOfPages":"518","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036787","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319651,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55068c/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fd020ce4b0a6037df2ca06","contributors":{"editors":[{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625678,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625679,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625680,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192479,"text":"70192479 - 2012 - Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models","interactions":[],"lastModifiedDate":"2017-10-26T14:53:40","indexId":"70192479","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2303,"text":"Journal of Geodesy","active":true,"publicationSubtype":{"id":10}},"title":"Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models","docAbstract":"<p><span>Recent studies have documented that global positioning system (GPS) time series of position estimates have temporal correlations which have been modeled as a combination of power-law and white noise processes. When estimating quantities such as a constant rate from GPS time series data, the estimated uncertainties on these quantities are more realistic when using a noise model that includes temporal correlations than simply assuming temporally uncorrelated noise. However, the choice of the specific representation of correlated noise can affect the estimate of uncertainty. For many GPS time series, the background noise can be represented by either: (1) a sum of flicker and random-walk noise or, (2) as a power-law noise model that represents an average of the flicker and random-walk noise. For instance, if the underlying noise model is a combination of flicker and random-walk noise, then incorrectly choosing the power-law model could underestimate the rate uncertainty by a factor of two. Distinguishing between the two alternate noise models is difficult since the flicker component can dominate the assessment of the noise properties because it is spread over a significant portion of the measurable frequency band. But, although not necessarily detectable, the random-walk component can be a major constituent of the estimated rate uncertainty. None the less, it is possible to determine the upper bound on the random-walk noise.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00190-012-0556-5","usgsCitation":"Langbein, J.O., 2012, Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models: Journal of Geodesy, v. 86, no. 9, p. 775-783, https://doi.org/10.1007/s00190-012-0556-5.","productDescription":"9 p.","startPage":"775","endPage":"783","ipdsId":"IP-034632","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00190-012-0556-5","text":"Publisher Index Page"},{"id":347500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-11","publicationStatus":"PW","scienceBaseUri":"5a07f115e4b09af898c8cda9","contributors":{"authors":[{"text":"Langbein, John O. 0000-0002-7821-8101 langbein@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":3293,"corporation":false,"usgs":true,"family":"Langbein","given":"John","email":"langbein@usgs.gov","middleInitial":"O.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716047,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193555,"text":"70193555 - 2012 - Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA","interactions":[],"lastModifiedDate":"2017-11-02T15:05:39","indexId":"70193555","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA","docAbstract":"<p><span>Multi-temporal ALOS/PALSAR images are used to automatically investigate landslide activity over an area of ~</span><span>&nbsp;</span><span>200</span><span>&nbsp;</span><span>km by ~</span><span>&nbsp;</span><span>350</span><span>&nbsp;</span><span>km in northern California and southern Oregon. Interferometric synthetic aperture radar (InSAR) deformation images, InSAR coherence maps, SAR backscattering intensity images, and a DEM gradient map are combined to detect active landslides by setting individual thresholds. More than 50 active landslides covering a total of about 40</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>&nbsp;area are detected. Then the short baseline subsets (SBAS) InSAR method is applied to retrieve time-series deformation patterns of individual detected landslides. Down-slope landslide motions observed from adjacent satellite tracks with slightly different radar look angles are used to verify InSAR results and measurement accuracy. Comparison of the landslide motion with the precipitation record suggests that the landslide deformation correlates with the rainfall rate, with a lag time of around 1–2</span><span>&nbsp;</span><span>months between the precipitation peak and the maximum landslide displacement. The results will provide new insights into landslide mechanisms in the Pacific Northwest, and facilitate development of early warning systems for landslides under abnormal rainfall conditions. Additionally, this method will allow identification of active landslides in broad areas of the Pacific Northwest in an efficient and systematic manner, including remote and heavily vegetated areas difficult to inventory by traditional methods.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2012.05.025","usgsCitation":"Zhao, C., Lu, Z., Zhang, Q., and de la Fuente, J., 2012, Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA: Remote Sensing of Environment, v. 124, p. 348-359, https://doi.org/10.1016/j.rse.2012.05.025.","productDescription":"12 p.","startPage":"348","endPage":"359","ipdsId":"IP-036653","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","volume":"124","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b28008","contributors":{"authors":[{"text":"Zhao, Chaoying","contributorId":199523,"corporation":false,"usgs":false,"family":"Zhao","given":"Chaoying","email":"","affiliations":[],"preferred":false,"id":719352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":719351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Qin","contributorId":156237,"corporation":false,"usgs":false,"family":"Zhang","given":"Qin","email":"","affiliations":[{"id":20301,"text":"SMU","active":true,"usgs":false}],"preferred":false,"id":719354,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"de la Fuente, Juan","contributorId":199524,"corporation":false,"usgs":false,"family":"de la Fuente","given":"Juan","email":"","affiliations":[],"preferred":false,"id":719353,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70155367,"text":"70155367 - 2012 - Assessing the impacts of river regulation on native bull trout (<i>Salvelinus confluentus</i>) and westslope cutthroat trout (<i>Oncorhynchus clarkii lewisi</i>) habitats in the upper Flathead River, Montana, USA","interactions":[],"lastModifiedDate":"2015-08-18T11:26:32","indexId":"70155367","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2012","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":"Assessing the impacts of river regulation on native bull trout (<i>Salvelinus confluentus</i>) and westslope cutthroat trout (<i>Oncorhynchus clarkii lewisi</i>) habitats in the upper Flathead River, Montana, USA","docAbstract":"<p>Hungry Horse Dam on the South Fork Flathead River, Montana, USA, has modified the natural flow regimen for power generation, flood risk management and flow augmentation for anadromous fish recovery in the Columbia River. Concern over the detrimental effects of dam operations on native resident fishes prompted research to quantify the impacts of alternative flow management strategies on threatened bull trout (Salvelinus confluentus) and westslope cutthroat trout (Oncorhynchus clarkii lewisi) habitats. Seasonal and life‐stage specific habitat suitability criteria were combined with a two‐dimensional hydrodynamic habitat model to assess discharge effects on usable habitats. Telemetry data used to construct seasonal habitat suitability curves revealed that subadult (fish that emigrated from natal streams to the river system) bull trout move to shallow, low‐velocity shoreline areas at night, which are most sensitive to flow fluctuations. Habitat time series analyses comparing the natural flow regimen (predam, 1929&ndash;1952) with five postdam flow management strategies (1953&ndash;2008) show that the natural flow conditions optimize the critical bull trout habitats and that the current strategy best resembles the natural flow conditions of all postdam periods. Late summer flow augmentation for anadromous fish recovery, however, produces higher discharges than predam conditions, which reduces the availability of usable habitat during this critical growing season. Our results suggest that past flow management policies that created sporadic streamflow fluctuations were likely detrimental to resident salmonids and that natural flow management strategies will likely improve the chances of protecting key ecosystem processes and help to maintain and restore threatened bull trout and westslope cutthroat trout populations in the upper Columbia River Basin.</p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.1494","usgsCitation":"Muhlfeld, C.C., Jones, L.A., Kotter, D., Miller, W.J., Geise, D., Tohtz, J., and Marotz, B., 2012, Assessing the impacts of river regulation on native bull trout (<i>Salvelinus confluentus</i>) and westslope cutthroat trout (<i>Oncorhynchus clarkii lewisi</i>) habitats in the upper Flathead River, Montana, USA: River Research and Applications, v. 28, no. 7, p. 940-959, https://doi.org/10.1002/rra.1494.","productDescription":"10 p.","startPage":"940","endPage":"959","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020089","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.2962646484375,\n              48.06890293081563\n            ],\n            [\n              -114.2962646484375,\n              48.47565256743914\n            ],\n            [\n              -114.005126953125,\n              48.47565256743914\n            ],\n            [\n              -114.005126953125,\n              48.06890293081563\n            ],\n            [\n              -114.2962646484375,\n              48.06890293081563\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-03-03","publicationStatus":"PW","scienceBaseUri":"55d4572ce4b0518e354694a7","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kotter, D.","contributorId":146607,"corporation":false,"usgs":false,"family":"Kotter","given":"D.","email":"","affiliations":[],"preferred":false,"id":568418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, William J.","contributorId":145886,"corporation":false,"usgs":false,"family":"Miller","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":16282,"text":"Miller Ecological Consultants","active":true,"usgs":false}],"preferred":false,"id":565568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geise, Doran","contributorId":145883,"corporation":false,"usgs":false,"family":"Geise","given":"Doran","email":"","affiliations":[{"id":16280,"text":"Spatial Sciences & Imaging","active":true,"usgs":false}],"preferred":false,"id":565565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tohtz, Joel","contributorId":145884,"corporation":false,"usgs":false,"family":"Tohtz","given":"Joel","email":"","affiliations":[{"id":16269,"text":"Montana Fish, Wildlife & Parks, Kalispell, Montana 59901 USA","active":true,"usgs":false}],"preferred":false,"id":565566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marotz, Brian","contributorId":145860,"corporation":false,"usgs":false,"family":"Marotz","given":"Brian","email":"","affiliations":[{"id":16269,"text":"Montana Fish, Wildlife & Parks, Kalispell, Montana 59901 USA","active":true,"usgs":false}],"preferred":false,"id":565564,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039766,"text":"ds702 - 2012 - Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"ds702","displayToPublicDate":"2012-08-31T08:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"702","title":"Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel, California","docAbstract":"In 2010 and 2011, scientists from the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), acquired bathymetry and acoustic-backscatter data from the outer shelf region of the eastern Santa Barbara Channel, California. These surveys were conducted in cooperation with the Bureau of Ocean Energy Management (BOEM). BOEM is interested in maps of hard-bottom substrates, particularly natural outcrops that support reef communities in areas near oil and gas extraction activity. The surveys were conducted using the USGS R/V Parke Snavely, outfitted with an interferometric sidescan sonar for swath mapping and real-time kinematic navigation equipment. This report provides the bathymetry and backscatter data acquired during these surveys in several formats, a summary of the mapping mission, maps of bathymetry and backscatter, and Federal Geographic Data Committee (FGDC) metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds702","collaboration":"In cooperation with the Bureau of Ocean Energy Management","usgsCitation":"Dartnell, P., Finlayson, D.P., Ritchie, A.C., Cochrane, G.R., and Erdey, M.D., 2012, Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel, California: U.S. Geological Survey Data Series 702, ii, 6 p.; GIS Data, https://doi.org/10.3133/ds702.","productDescription":"ii, 6 p.; GIS Data","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":260036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_702.gif"},{"id":260032,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/702/","linkFileType":{"id":5,"text":"html"}},{"id":260033,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/702/ds702_report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","city":"Carpinteria;Santa Barbara;Ventura","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.5,34 ], [ -120.5,34.5 ], [ -119.16666666666667,34.5 ], [ -119.16666666666667,34 ], [ -120.5,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f015e4b0c8380cd4a5b6","contributors":{"authors":[{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":466898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039765,"text":"sir20125128 - 2012 - Surface-water salinity in the Gunnison River Basin, Colorado, water years 1989 through 2007","interactions":[],"lastModifiedDate":"2012-09-01T01:01:51","indexId":"sir20125128","displayToPublicDate":"2012-08-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5128","title":"Surface-water salinity in the Gunnison River Basin, Colorado, water years 1989 through 2007","docAbstract":"Elevated levels of dissolved solids in water (salinity) can result in numerous and costly issues for agricultural, industrial, and municipal water users. The Colorado River Basin Salinity Control Act of 1974 (Public Law 93-320) authorized planning and construction of salinity-control projects in the Colorado River Basin. One of the first projects was the Lower Gunnison Unit, a project to mitigate salinity in the Lower Gunnison and Uncompahgre River Basins. In cooperation with the Bureau of Reclamation (USBR), the U.S. Geological Survey conducted a study to quantify changes in salinity in the Gunnison River Basin. Trends in salinity concentration and load during the period water years (WY) 1989 through 2004 (1989-2004) were determined for 15 selected streamflow-gaging stations in the Gunnison River Basin. Additionally, trends in salinity concentration and load during the period WY1989 through 2007 (1989-2007) were determined for 5 of the 15 sites for which sufficient data were available. Trend results also were used to identify regions in the Lower Gunnison River Basin (downstream from the Gunnison Tunnel) where the largest changes in salinity loads occur. Additional sources of salinity, including residential development (urbanization), changes in land cover, and natural sources, were estimated within the context of the trend results. The trend results and salinity loads estimated from trends testing also were compared to USBR and Natural Resources Conservation Service (NRCS) estimates of off-farm and on-farm salinity reduction from salinity-control projects in the basin. Finally, salinity from six additional sites in basins that are not affected by irrigated agriculture or urbanization was monitored from WY 2008 to 2010 to quantify what portion of salinity may be from nonagricultural or natural sources. In the Upper Gunnison area, which refers to Gunnison River Basin above the site located on the Gunnison River below the Gunnison Tunnel, estimated mean annual salinity load was 110,000 tons during WY 1989-2004. Analysis of both study periods (WY 1989-2004 and WY 1989-2007) showed an initial decrease in salinity load with a minimum in 1997. The net change over either study period was only significant during WY 1989-2007. Salinity load significantly decreased at the Gunnison River near Delta by 179,000 tons during WY 1989-2004. Just downstream, the Uncompahgre River enters the Gunnison River where there also was a highly significant decrease in salinity load of 55,500 tons. The site that is located at the mouth of the study area is the Gunnison River near Grand Junction where the decrease was the largest. Salinity loads decreased by 247,000 tons during WY 1989-2004 at this site though the decrease attenuated by 2007 and the net change was a decrease of 207,000 tons. The trend results presented in this study indicate that the effect of urbanization on salinity loads is difficult to discern from the effects of irrigated agriculture and that natural sources contribute a fraction of the total salinity load for the entire basin. Based on the calculated yields and geology, 23-63 percent of the estimated annual salinity load was from natural sources at the Gunnison River near Grand Junction during WY 1989-2007. The largest changes in salinity load occurred at the Gunnison River near Grand Junction as well as the two sites located in Delta: the Gunnison River at Delta and the Uncompahgre River at Delta. Those three sites, especially the two sites at Delta, were the most affected by irrigated agriculture, which was observed in the estimated mean annual loads. Irrigated acreage, especially acreage underlain by Mancos Shale, is the target of salinity-control projects intended to decrease salinity loads. The NRCS and the USBR have done the majority of salinity control work in the Lower Gunnison area of the Gunnison River Basin, and the focus has been in the Uncompahgre River Basin and in portions of the Lower Gunnison River Basin (downstream from the Gunnison Tunnel). According to the estimates from the USBR and NRCS, salinity-control projects may be responsible for a reduction of 117,300 tons of salinity as of 2004 and 142,000 tons as of 2007 at the Gunnison River near Grand Junction, Colo. (streamflow-gaging station 09152500). USBR and NRCS estimates account for all but 130,000 tons in 2004 and 65,000 tons in 2007 of salinity load reduction. The additional reduction could be a reduction in natural salt loading to the streams because of land-cover changes during the study period. It is possible also that the USBR and NRCS have underestimated changes in salinity loads as a result of the implementation of salinity-control projects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125128","usgsCitation":"Schaffrath, K.R., 2012, Surface-water salinity in the Gunnison River Basin, Colorado, water years 1989 through 2007: U.S. Geological Survey Scientific Investigations Report 2012-5128, vi, 47 p., https://doi.org/10.3133/sir20125128.","productDescription":"vi, 47 p.","numberOfPages":"57","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":260035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012-5128.gif"},{"id":260030,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5128/","linkFileType":{"id":5,"text":"html"}},{"id":260031,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5128/SIR12-5128.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"2000000","datum":"North American Datum 1983","country":"United States","state":"Colorado","otherGeospatial":"Gunnison River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.5,37.5 ], [ -109.5,39.5 ], [ -106.5,39.5 ], [ -106.5,37.5 ], [ -109.5,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba19fe4b08c986b31f1dc","contributors":{"authors":[{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039773,"text":"70039773 - 2012 - Combining satellite-based fire observations and ground-based lightning detections to identify lightning fires across the conterminous USA","interactions":[],"lastModifiedDate":"2012-12-18T14:50:17","indexId":"70039773","displayToPublicDate":"2012-08-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Combining satellite-based fire observations and ground-based lightning detections to identify lightning fires across the conterminous USA","docAbstract":"Lightning fires are a common natural disturbance in North America, and account for the largest proportion of the area burned by wildfires each year. Yet, the spatiotemporal patterns of lightning fires in the conterminous US are not well understood due to limitations of existing fire databases. Our goal here was to develop and test an algorithm that combined MODIS fire detections with lightning detections from the National Lightning Detection Network to identify lightning fires across the conterminous US from 2000 to 2008. The algorithm searches for spatiotemporal conjunctions of MODIS fire clusters and NLDN detected lightning strikes, given a spatiotemporal lag between lightning strike and fire ignition. The algorithm revealed distinctive spatial patterns of lightning fires in the conterminous US While a sensitivity analysis revealed that the algorithm is highly sensitive to the two thresholds that are used to determine conjunction, the density of fires it detected was moderately correlated with ground based fire records. When only fires larger than 0.4 km<sup>2</sup> were considered, correlations were higher and the root-mean-square error between datasets was less than five fires per 625 km<sup>2</sup> for the entire study period. Our algorithm is thus suitable for detecting broad scale spatial patterns of lightning fire occurrence, and especially lightning fire hotspots, but has limited detection capability of smaller fires because these cannot be consistently detected by MODIS. These results may enhance our understanding of large scale patterns of lightning fire activity, and can be used to identify the broad scale factors controlling fire occurrence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2012.2193665","usgsCitation":"Bar-Massada, A., Hawbaker, T., Stewart, S.I., and Radeloff, V.C., 2012, Combining satellite-based fire observations and ground-based lightning detections to identify lightning fires across the conterminous USA: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 5, no. 5, p. 1438-1447, https://doi.org/10.1109/JSTARS.2012.2193665.","productDescription":"10 p.","startPage":"1438","endPage":"1447","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":260044,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2012.2193665","linkFileType":{"id":5,"text":"html"}},{"id":260045,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"5","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7e1e4b0c8380cd4cd4d","contributors":{"authors":[{"text":"Bar-Massada, A.","contributorId":7524,"corporation":false,"usgs":true,"family":"Bar-Massada","given":"A.","affiliations":[],"preferred":false,"id":466910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, T. J.","contributorId":98118,"corporation":false,"usgs":true,"family":"Hawbaker","given":"T. J.","affiliations":[],"preferred":false,"id":466912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, S. I.","contributorId":99779,"corporation":false,"usgs":false,"family":"Stewart","given":"S.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":466913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Radeloff, V. C.","contributorId":58467,"corporation":false,"usgs":false,"family":"Radeloff","given":"V.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039734,"text":"70039734 - 2012 - Survival, growth and reproduction of non-native Nile tilapia II: Fundamental niche projections and invasion potential in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2022-02-04T15:09:37.905035","indexId":"70039734","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Survival, growth and reproduction of non-native Nile tilapia II: Fundamental niche projections and invasion potential in the northern Gulf of Mexico","docAbstract":"Understanding the fundamental niche of invasive species facilitates our ability to predict both dispersal patterns and invasion success and therefore provides the basis for better-informed conservation and management policies. Here we focus on Nile tilapia (Oreochromis niloticus Linnaeus, 1758), one of the most widely cultured fish worldwide and a species that has escaped local aquaculture facilities to become established in a coastal-draining river in Mississippi (northern Gulf of Mexico). Using empirical physiological data, logistic regression models were developed to predict the probabilities of Nile tilapia survival, growth, and reproduction at different combinations of temperature (14 and 30&deg;C) and salinity (0&ndash;60, by increments of 10). These predictive models were combined with kriged seasonal salinity data derived from multiple long-term data sets to project the species' fundamental niche in Mississippi coastal waters during normal salinity years (averaged across all years) and salinity patterns in extremely wet and dry years (which might emerge more frequently under scenarios of climate change). The derived fundamental niche projections showed that during the summer, Nile tilapia is capable of surviving throughout Mississippi's coastal waters but growth and reproduction were limited to river mouths (or upriver). Overwinter survival was also limited to river mouths. The areas where Nile tilapia could survive, grow, and reproduce increased during extremely wet years (2&ndash;368%) and decreased during extremely dry years (86&ndash;92%) in the summer with a similar pattern holding for overwinter survival. These results indicate that Nile tilapia is capable of 1) using saline waters to gain access to other watersheds throughout the region and 2) establishing populations in nearshore, low-salinity waters, particularly in the western portion of coastal Mississippi.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0041580","usgsCitation":"Lowe, M.R., Wu, W., Peterson, M.S., Brown-Peterson, N.J., Slack, W.T., and Schofield, P., 2012, Survival, growth and reproduction of non-native Nile tilapia II: Fundamental niche projections and invasion potential in the northern Gulf of Mexico: PLoS ONE, v. 7, no. 7, e41580, 10 p., https://doi.org/10.1371/journal.pone.0041580.","productDescription":"e41580, 10 p.","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474374,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0041580","text":"Publisher Index Page"},{"id":260000,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.8516845703125,\n              30.021543509740027\n            ],\n            [\n              -87.484130859375,\n              30.021543509740027\n            ],\n            [\n              -87.484130859375,\n              30.755998458321667\n            ],\n            [\n              -89.8516845703125,\n              30.755998458321667\n            ],\n            [\n              -89.8516845703125,\n              30.021543509740027\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-07-27","publicationStatus":"PW","scienceBaseUri":"53cd7619e4b0b2908510aaf2","contributors":{"authors":[{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":466846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Wei","contributorId":15061,"corporation":false,"usgs":true,"family":"Wu","given":"Wei","email":"","affiliations":[],"preferred":false,"id":466847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Mark S.","contributorId":8979,"corporation":false,"usgs":true,"family":"Peterson","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown-Peterson, Nancy J.","contributorId":53937,"corporation":false,"usgs":true,"family":"Brown-Peterson","given":"Nancy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slack, William T.","contributorId":47512,"corporation":false,"usgs":true,"family":"Slack","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":466848,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039735,"text":"70039735 - 2012 - Organic carbon burial rates in mangrove sediments: strengthening the global budget","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039735","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Organic carbon burial rates in mangrove sediments: strengthening the global budget","docAbstract":"Mangrove wetlands exist in the transition zone between terrestrial and marine environments and as such were historically overlooked in discussions of terrestrial and marine carbon cycling. In recent decades, mangroves have increasingly been credited with producing and burying large quantities of organic carbon (OC). The amount of available data regarding OC burial in mangrove soils has more than doubled since the last primary literature review (2003). This includes data from some of the largest, most developed mangrove forests in the world, providing an opportunity to strengthen the global estimate. First-time representation is now included for mangroves in Brazil, Colombia, Malaysia, Indonesia, China, Japan, Vietnam, and Thailand, along with additional data from Mexico and the United States. Our objective is to recalculate the centennial-scale burial rate of OC at both the local and global scales. Quantification of this rate enables better understanding of the current carbon sink capacity of mangroves as well as helps to quantify and/or validate the other aspects of the mangrove carbon budget such as import, export, and remineralization. Statistical analysis of the data supports use of the geometric mean as the most reliable central tendency measurement. Our estimate is that mangrove systems bury 163 (+40; -31) g OC m<sup>-2</sup> yr<sup>-1</sup> (95% C.I.). Globally, the 95% confidence interval for the annual burial rate is 26.1 (+6.3; -5.1) Tg OC. This equates to a burial fraction that is 42% larger than that of the most recent mangrove carbon budget (2008), and represents 10&ndash;15% of estimated annual mangrove production. This global rate supports previous conclusions that, on a centennial time scale, 8&ndash;15% of all OC burial in marine settings occurs in mangrove systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GB004375","usgsCitation":"Breithaupt, J., Smoak, J.M., Smith, T.J., Sanders, C.J., and Hoare, A., 2012, Organic carbon burial rates in mangrove sediments: strengthening the global budget: Global Biogeochemical Cycles, v. 26, 11 p.; GB3011, https://doi.org/10.1029/2012GB004375.","productDescription":"11 p.; GB3011","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474375,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gb004375","text":"Publisher Index Page"},{"id":260001,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259989,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GB004375","linkFileType":{"id":5,"text":"html"}}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2012-08-04","publicationStatus":"PW","scienceBaseUri":"505a6f92e4b0c8380cd75b75","contributors":{"authors":[{"text":"Breithaupt, J.","contributorId":56905,"corporation":false,"usgs":true,"family":"Breithaupt","given":"J.","email":"","affiliations":[],"preferred":false,"id":466854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoak, Joseph M.","contributorId":32392,"corporation":false,"usgs":true,"family":"Smoak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":466851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, Christian J.","contributorId":90584,"corporation":false,"usgs":true,"family":"Sanders","given":"Christian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoare, Armando","contributorId":44029,"corporation":false,"usgs":true,"family":"Hoare","given":"Armando","email":"","affiliations":[],"preferred":false,"id":466853,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039730,"text":"70039730 - 2012 - Augmentation of French grunt diet description using combined visual and DNA-based analyses","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039730","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Augmentation of French grunt diet description using combined visual and DNA-based analyses","docAbstract":"Trophic linkages within a coral-reef ecosystem may be difficult to discern in fish species that reside on, but do not forage on, coral reefs. Furthermore, dietary analysis of fish can be difficult in situations where prey is thoroughly macerated, resulting in many visually unrecognisable food items. The present study examined whether the inclusion of a DNA-based method could improve the identification of prey consumed by French grunt, Haemulon flavolineatum, a reef fish that possesses pharyngeal teeth and forages on soft-bodied prey items. Visual analysis indicated that crustaceans were most abundant numerically (38.9%), followed by sipunculans (31.0%) and polychaete worms (5.2%), with a substantial number of unidentified prey (12.7%). For the subset of prey with both visual and molecular data, there was a marked reduction in the number of unidentified sipunculans (visual &ndash; 31.1%, combined &ndash 4.4%), unidentified crustaceans (visual &ndash 15.6%, combined &ndash 6.7%), and unidentified taxa (visual &ndash 11.1%, combined &ndash 0.0%). Utilising results from both methodologies resulted in an increased number of prey placed at the family level (visual &ndash 6, combined &ndash 33) and species level (visual &ndash 0, combined &ndash 4). Although more costly than visual analysis alone, our study demonstrated the feasibility of DNA-based identification of visually unidentifiable prey in the stomach contents of fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Freshwater Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, U.K.","doi":"10.1071/MF12099","usgsCitation":"Hargrove, J.S., Parkyn, D.C., Murie, D.J., Demopoulos, A., and Austin, J.D., 2012, Augmentation of French grunt diet description using combined visual and DNA-based analyses: Marine and Freshwater Research, v. 63, no. 8, p. 740-750, https://doi.org/10.1071/MF12099.","productDescription":"11 p.","startPage":"740","endPage":"750","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":259970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259969,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/MF12099","linkFileType":{"id":5,"text":"html"}}],"volume":"63","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eee9e4b0c8380cd4a01a","contributors":{"authors":[{"text":"Hargrove, John S.","contributorId":32768,"corporation":false,"usgs":true,"family":"Hargrove","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkyn, Daryl C.","contributorId":71819,"corporation":false,"usgs":true,"family":"Parkyn","given":"Daryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murie, Debra J.","contributorId":7548,"corporation":false,"usgs":true,"family":"Murie","given":"Debra","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":28938,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda W.J.","affiliations":[],"preferred":false,"id":466830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Austin, James D.","contributorId":57584,"corporation":false,"usgs":true,"family":"Austin","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":466832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039723,"text":"70039723 - 2012 - Mapping outdoor recreationists' perceived social values for ecosystem services at Hinchinbrook Island National Park, Australia","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039723","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Mapping outdoor recreationists' perceived social values for ecosystem services at Hinchinbrook Island National Park, Australia","docAbstract":"Coastal ecosystems are increasingly faced with human impacts. To better understand these changing conditions, biophysical and economic values of nature have been used to prioritize spatial planning efforts and ecosystem-based management of human activities. Less is known, however, about how to characterize and represent non-material values in decision-making. We collected on-site and mailback survey data (<i>n</i> = 209), and analyzed these data using the Social Values for Ecosystem Services (SolVES) GIS application to incorporate measures of social value and natural resource conditions on Hinchinbrook Island National Park, Australia. Our objectives in this paper are to: 1) determine the spatial distribution and point density of social values for ecosystem services; 2) examine the relationship between social values and natural resource conditions; and 3) compare social value allocations between two subgroups of outdoor recreationists. Results suggest that high priority areas exist on Hinchinbrook's land and seascapes according to the multiple values assigned to places by outdoor recreationists engaged in consumptive (e.g., fishing) and non-consumptive (e.g., hiking) activities. We examine statistically significant spatial clustering across two subgroups of the survey population for three value types that reflect Recreation, Biological Diversity, and Aesthetic qualities. The relationship between the relative importance of social values for ecosystem services and spatially-defined ecological data is explored to guide management decision-making in the context of an island national park setting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeog.2012.06.008","usgsCitation":"van Riper, C.J., Kyle, G.T., Sutton, S., Barnes, M., and Sherrouse, B.C., 2012, Mapping outdoor recreationists' perceived social values for ecosystem services at Hinchinbrook Island National Park, Australia: Applied Geography, v. 35, no. 1-2, p. 164-173, https://doi.org/10.1016/j.apgeog.2012.06.008.","productDescription":"10 p.","startPage":"164","endPage":"173","numberOfPages":"9","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":260003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259988,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeog.2012.06.008","linkFileType":{"id":5,"text":"html"}}],"country":"Australia","otherGeospatial":"Hinchinbrook Island National Park","volume":"35","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a506ce4b0c8380cd6b6b3","contributors":{"authors":[{"text":"van Riper, Carena J.","contributorId":42827,"corporation":false,"usgs":false,"family":"van Riper","given":"Carena","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":466816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyle, Gerard T.","contributorId":69405,"corporation":false,"usgs":true,"family":"Kyle","given":"Gerard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, Stephen G.","contributorId":14685,"corporation":false,"usgs":true,"family":"Sutton","given":"Stephen G.","affiliations":[],"preferred":false,"id":466814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, Melinda","contributorId":82968,"corporation":false,"usgs":true,"family":"Barnes","given":"Melinda","email":"","affiliations":[],"preferred":false,"id":466818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466815,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039717,"text":"70039717 - 2012 - Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039717","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA","docAbstract":"Stratigraphic analyses and radiocarbon geochronology of alluvial deposits exposed along the Roaring River, Colorado, lead to three principal conclusions: (1) the opinion that stream channels in the higher parts of the Front Range are relics of the Pleistocene and nonalluvial under the present climate, as argued in a water-rights trial USA v. Colorado, is untenable, (2) beds of clast-supported gravel alternate in vertical succession with beds of fine-grained sediment (sand, mud, and peat) in response to centennial-scale changes in snowmelt-driven peak discharges, and (3) alluvial strata provide information about Holocene climate history that complements the history provided by cirque moraines, periglacial deposits, and paleontological data. Most alluvial strata are of late Holocene age and record, among other things, that: (1) the largest peak flows since the end of the Pleistocene occurred during the late Holocene; (2) the occurrence of a mid- to late Holocene interval (~2450&ndash;1630(?) cal yr BP) of warmer climate, which is not clearly identified in palynological records; and (3) the Little Ice Age climate seems to have had little impact on stream channels, except perhaps for minor (~1 m) incision. Published","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.yqres.2012.05.005","usgsCitation":"Madole, R.F., 2012, Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA: Quaternary Research, v. 78, no. 2, p. 197-208, https://doi.org/10.1016/j.yqres.2012.05.005.","productDescription":"12 p.","startPage":"197","endPage":"208","numberOfPages":"11","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":259999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259987,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2012.05.005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Front Range;Roaring River Valley","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-03","publicationStatus":"PW","scienceBaseUri":"505a31d2e4b0c8380cd5e25b","contributors":{"authors":[{"text":"Madole, Richard F. 0000-0002-9081-570X madole@usgs.gov","orcid":"https://orcid.org/0000-0002-9081-570X","contributorId":1340,"corporation":false,"usgs":true,"family":"Madole","given":"Richard","email":"madole@usgs.gov","middleInitial":"F.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039756,"text":"sir20125169 - 2012 - Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"sir20125169","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5169","title":"Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, analyzed water-quality data collected from 67 aquifer wells and 7 surface-water sites at the Idaho National Laboratory (INL) from 1949 through 2009. The data analyzed included major cations, anions, nutrients, trace elements, and total organic carbon. The analyses were performed to examine water-quality trends that might inform future management decisions about the number of wells to sample at the INL and the type of constituents to monitor. Water-quality trends were determined using (1) the nonparametric Kendall's <i>tau</i> correlation coefficient, <i>p</i>-value, Theil-Sen slope estimator, and summary statistics for uncensored data; and (2) the Kaplan-Meier method for calculating summary statistics, Kendall's <i>tau</i> correlation coefficient, <i>p</i>-value, and Akritas-Theil-Sen slope estimator for robust linear regression for censored data. Statistical analyses for chloride concentrations indicate that groundwater influenced by Big Lost River seepage has decreasing chloride trends or, in some cases, has variable chloride concentration changes that correlate with above-average and below-average periods of recharge. Analyses of trends for chloride in water samples from four sites located along the Big Lost River indicate a decreasing trend or no trend for chloride, and chloride concentrations generally are much lower at these four sites than those in the aquifer. Above-average and below-average periods of recharge also affect concentration trends for sodium, sulfate, nitrate, and a few trace elements in several wells. Analyses of trends for constituents in water from several of the wells that is mostly regionally derived groundwater generally indicate increasing trends for chloride, sodium, sulfate, and nitrate concentrations. These increases are attributed to agricultural or other anthropogenic influences on the aquifer upgradient of the INL. Statistical trends of chemical constituents from several wells near the Naval Reactors Facility may be influenced by wastewater disposal at the facility or by anthropogenic influence from the Little Lost River basin. Groundwater samples from three wells downgradient of the Power Burst Facility area show increasing trends for chloride, nitrate, sodium, and sulfate concentrations. The increases could be caused by wastewater disposal in the Power Burst Facility area. Some groundwater samples in the southwestern part of the INL and southwest of the INL show concentration trends for chloride and sodium that may be influenced by wastewater disposal. Some of the groundwater samples have decreasing trends that could be attributed to the decreasing concentrations in the wastewater from the late 1970s to 2009. The young fraction of groundwater in many of the wells is more than 20 years old, so samples collected in the early 1990s are more representative of groundwater discharged in the 1960s and 1970s, when concentrations in wastewater were much higher. Groundwater sampled in 2009 would be representative of the lower concentrations of chloride and sodium in wastewater discharged in the late 1980s. Analyses of trends for sodium in several groundwater samples from the central and southern part of the eastern Snake River aquifer show increasing trends. In most cases, however, the sodium concentrations are less than background concentrations measured in the aquifer. Many of the wells are open to larger mixed sections of the aquifer, and the increasing trends may indicate that the long history of wastewater disposal in the central part of the INL is increasing sodium concentrations in the groundwater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125169","collaboration":"Prepared in cooperation with the U.S. Department of Energy, DOE/ID-22219","usgsCitation":"Bartholomay, R.C., Davis, L.C., Fisher, J.C., Tucker, B.J., and Raben, F.A., 2012, Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009: U.S. Geological Survey Scientific Investigations Report 2012-5169, Report: vi, 68 p.; Appendices A-E PDF, https://doi.org/10.3133/sir20125169.","productDescription":"Report: vi, 68 p.; Appendices A-E PDF","onlineOnly":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":260004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5169.jpg"},{"id":259993,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259994,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppA.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259995,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppB.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259998,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppE.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259992,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5169/","linkFileType":{"id":5,"text":"html"}},{"id":259996,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppC.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259997,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppD.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 12","datum":"North American Datum of 1927","country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.233333333333334 ], [ -112.25,44.233333333333334 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcdd8e4b08c986b32e102","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Betty J.","contributorId":27885,"corporation":false,"usgs":true,"family":"Tucker","given":"Betty","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raben, Flint A.","contributorId":79345,"corporation":false,"usgs":true,"family":"Raben","given":"Flint","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466880,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039759,"text":"sir20125126 - 2012 - Origin and characteristics of discharge at San Marcos Springs based on hydrologic and geochemical data (2008-10), Bexar, Comal, and Hays Counties, Texas","interactions":[],"lastModifiedDate":"2016-08-08T08:43:00","indexId":"sir20125126","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5126","title":"Origin and characteristics of discharge at San Marcos Springs based on hydrologic and geochemical data (2008-10), Bexar, Comal, and Hays Counties, Texas","docAbstract":"<p>The Edwards aquifer in south-central Texas is a productive and important water resource. Several large springs issuing from the aquifer are major discharge points, popular locations for recreational activities, and habitat for threatened and endangered species. Discharges from Comal and San Marcos Springs, the first and second largest spring complexes in Texas, are used as thresholds in groundwater management strategies for the Edwards aquifer. Comal Springs is generally understood to be supplied by predominantly regional groundwater flow paths; the hydrologic connection of San Marcos Springs with the regional flow system, however, is less understood. During November 2008&ndash;December 2010, a hydrologic and geochemical investigation of San Marcos Springs was conducted by the U.S. Geological Survey (USGS) in cooperation with the San Antonio Water System. The primary objective of this study was to define and characterize sources of discharge from San Marcos Springs. During this study, hydrologic conditions transitioned from exceptional drought (the dry period, November 1, 2008 to September 8, 2009) to wetter than normal (the wet period, September 9, 2009 to December 31, 2010), which provided the opportunity to investigate the hydrogeology of San Marcos Springs under a wide range of hydrologic conditions. Water samples were collected from streams, groundwater wells, and springs at and in the vicinity of San Marcos Springs, including periodic (routine) sampling (every 3&ndash;7 weeks) and sampling in response to storms. Samples were analyzed for major ions, trace elements, nutrients, and selected stable and radiogenic isotopes (deuterium, oxygen, carbon, strontium). Additionally, selected physicochemical properties were measured continuously at several sites, and hydrologic data were compiled from other USGS efforts (stream and spring discharge). Potential aquifer recharge was evaluated from local streams, and daily recharge or gain/loss estimates were computed for several local streams. Local rainfall and recharge events were compared with physicochemical properties and geochemical variability at San Marcos Springs, with little evidence for dilution by local recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125126","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Musgrove, M., and Crow, C.L., 2012, Origin and characteristics of discharge at San Marcos Springs based on hydrologic and geochemical data (2008-10), Bexar, Comal, and Hays Counties, Texas: U.S. Geological Survey Scientific Investigations Report 2012-5126, vii, 94 p., https://doi.org/10.3133/sir20125126.","productDescription":"vii, 94 p.","numberOfPages":"105","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":260021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125126.JPG"},{"id":260018,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5126/","linkFileType":{"id":5,"text":"html"}},{"id":260019,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5126/SIR2012-5126.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","county":"Bexar County, Comal County, Hays County","otherGeospatial":"San Marcos Springs","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a709be4b0c8380cd7611b","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":466890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039752,"text":"ofr20121188 - 2012 - Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"ofr20121188","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1188","title":"Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico","docAbstract":"In May and June 2012, the Whitewater-Baldy Fire burned approximately 1,200 square kilometers (300,000 acres) of the Gila National Forest, in southwestern New Mexico. The burned landscape is now at risk of damage from postwildfire erosion, such as that caused by debris flows and flash floods. This report presents a preliminary hazard assessment of the debris-flow potential from 128 basins burned by the Whitewater-Baldy Fire. A pair of empirical hazard-assessment models developed by using data from recently burned basins throughout the intermountain Western United States was used to estimate the probability of debris-flow occurrence and volume of debris flows along the burned area drainage network and for selected drainage basins within the burned area. The models incorporate measures of areal burned extent and severity, topography, soils, and storm rainfall intensity to estimate the probability and volume of debris flows following the fire. In response to the 2-year-recurrence, 30-minute-duration rainfall, modeling indicated that four basins have high probabilities of debris-flow occurrence (greater than or equal to 80 percent). For the 10-year-recurrence, 30-minute-duration rainfall, an additional 14 basins are included, and for the 25-year-recurrence, 30-minute-duration rainfall, an additional eight basins, 20 percent of the total, have high probabilities of debris-flow occurrence. In addition, probability analysis along the stream segments can identify specific reaches of greatest concern for debris flows within a basin. Basins with a high probability of debris-flow occurrence were concentrated in the west and central parts of the burned area, including tributaries to Whitewater Creek, Mineral Creek, and Willow Creek. Estimated debris-flow volumes ranged from about 3,000-4,000 cubic meters (m<sup>3</sup>) to greater than 500,000 m<sup>3</sup> for all design storms modeled. Drainage basins with estimated volumes greater than 500,000 m<sup>3</sup> included tributaries to Whitewater Creek, Willow Creek, Iron Creek, and West Fork Mogollon Creek. Drainage basins with estimated debris-flow volumes greater than 100,000 m<sup>3</sup> for the 25-year-recurrence event, 24 percent of the basins modeled, also include tributaries to Deep Creek, Mineral Creek, Gilita Creek, West Fork Gila River, Mogollon Creek, and Turkey Creek, among others. Basins with the highest combined probability and volume relative hazard rankings for the 25-year-recurrence rainfall include tributaries to Whitewater Creek, Mineral Creek, Willow Creek, West Fork Gila River, West Fork Mogollon Creek, and Turkey Creek. Debris flows from Whitewater, Mineral, and Willow Creeks could affect the southwestern New Mexico communities of Glenwood, Alma, and Willow Creek. The maps presented herein may be used to prioritize areas where emergency erosion mitigation or other protective measures may be necessary within a 2- to 3-year period of vulnerability following the Whitewater-Baldy Fire. This work is preliminary and is subject to revision. It is being provided because of the need for timely \"best science\" information. The assessment herein is provided on the condition that neither the U.S. Geological Survey nor the U.S. Government may be held liable for any damages resulting from the authorized or unauthorized use of the assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121188","collaboration":"Prepared in cooperation with U.S. Department of Agriculture Forest Service, Gila National Forest","usgsCitation":"Tillery, A.C., Matherne, A.M., and Verdin, K.L., 2012, Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico: U.S. Geological Survey Open-File Report 2012-1188, Report: iv, 11 p.; Plate 1: 32.92 inches x 21.34 inches, Plate 2: 32.89 inches x 21.31 inches, Plate 3: 32.89 inches x 21.31 inches, https://doi.org/10.3133/ofr20121188.","productDescription":"Report: iv, 11 p.; Plate 1: 32.92 inches x 21.34 inches, Plate 2: 32.89 inches x 21.31 inches, Plate 3: 32.89 inches x 21.31 inches","onlineOnly":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":259977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1188.gif"},{"id":259975,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259972,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1188/","linkFileType":{"id":5,"text":"html"}},{"id":259973,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259974,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259971,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator coordinate system Zone 12 North","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","county":"Catron;Grant","otherGeospatial":"Gila National Forest;Mogollon Mountains;Whitewater Baldy","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.08333333333333,33.083333333333336 ], [ -109.08333333333333,33.583333333333336 ], [ -108.16666666666667,33.583333333333336 ], [ -108.16666666666667,33.083333333333336 ], [ -109.08333333333333,33.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0a9fe4b0c8380cd523f5","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466874,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039758,"text":"sim3221 - 2012 - Flood-inundation maps for the Saddle River from Rochelle Park to Lodi, New Jersey, 2012","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"sim3221","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3221","title":"Flood-inundation maps for the Saddle River from Rochelle Park to Lodi, New Jersey, 2012","docAbstract":"Digital flood-inundation maps for a 2.75-mile reach of the Saddle River from 0.2 mile upstream from the Interstate 80 bridge in Rochelle Park to 1.5 miles downstream from the U.S. Route 46 bridge in Lodi, New Jersey, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\">http://water.usgs.gov/osw/flood_inundation</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Saddle River at Lodi, New Jersey (station 01391500). Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at <a href=\"http://waterdata.usgs.gov/nwis/uv?site_no=01391500\">http://waterdata.usgs.gov/nwis/uv?site_no=01391500</a>. The National Weather Service (NWS) forecasts flood hydrographs at many places that are often collocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at the Saddle River at Lodi, New Jersey streamgage and documented high-water marks from recent floods. The hydraulic model was then used to determine 11 water-surface profiles for flood stages at the Saddle River streamgage at 1-ft intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from bankfull, 0.5 ft below NWS Action Stage, to the extent of the stage-discharge rating, which is approximately 1 ft higher than the highest recorded water level at the streamgage. Action Stage is the stage which when reached by a rising stream the NWS or a partner needs to take some type of mitigation action in preparation for possible significant hydrologic activity. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84-ft) digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3221","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Hoppe, H.L., and Watson, K.M., 2012, Flood-inundation maps for the Saddle River from Rochelle Park to Lodi, New Jersey, 2012: U.S. Geological Survey Scientific Investigations Map 3221, Pamphlet: vi, 7 p.; Sheets 1-11: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3221.","productDescription":"Pamphlet: vi, 7 p.; Sheets 1-11: 17 x 22 inches; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":260020,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3221.png"},{"id":260012,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle08ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260013,"rank":406,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle09ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260016,"rank":409,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle14ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260017,"rank":410,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle15ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260007,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle10ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260008,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260009,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle05ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260010,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle06ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260011,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle07ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260014,"rank":407,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle11ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260015,"rank":408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle12ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260005,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3221/downloads/pdf/sim3221-saddle13ft.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":260006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3221/","linkFileType":{"id":5,"text":"html"}}],"scale":"12000","datum":"North American Datum of 1988","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.1,40.86666666666667 ], [ -74.1,40.9 ], [ -74.06666666666666,40.9 ], [ -74.06666666666666,40.86666666666667 ], [ -74.1,40.86666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1167e4b0c8380cd53faa","contributors":{"authors":[{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":466887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039747,"text":"ofr20121142 - 2012 - Water-quality data from Upper Klamath and Agency Lakes, Oregon, 2009-10","interactions":[],"lastModifiedDate":"2018-01-24T16:46:57","indexId":"ofr20121142","displayToPublicDate":"2012-08-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1142","title":"Water-quality data from Upper Klamath and Agency Lakes, Oregon, 2009-10","docAbstract":"The U.S. Geological Survey Upper Klamath Lake water-quality monitoring program collected data from multiparameter continuous water-quality monitors, weekly water-quality samples, and meteorological stations during 2009 and 2010 from May through November each year. The results of these measurements and sample analyses, as well as quality-control data for the water-quality samples, are presented in this report for 14 sites on Upper Klamath Lake and 2 sites on Agency Lake. These 2 years of data demonstrate a contrast in the seasonal bloom of the dominant cyanobacterium, <i>Aphanizomenon flos-aquae</i>, that can be related to differences in the measured water quality and meteorological variables. Some of the significant findings from 2009 and 2010 are listed below. * Both 2009 and 2010 were characterized by two cyanobacteria blooms, but the blooms differed in timing and intensity. The first bloom in 2009 peaked in late June and at higher chlorophyll a concentrations at most sites than the first bloom in 2010, which peaked in mid-July. A major decline in the first 2009 bloom occurred in late July and was followed by a second bloom that peaked at most sites in mid-August and persisted through September. The decline of the weaker first bloom in 2010 occurred in early August and was followed by a more substantial second bloom that peaked between late August and early September at most sites. * Dissolved oxygen minima associated with bloom declines occurred approximately 2 weeks earlier in 2009 (mid-July) than in 2010 (early August). pH maxima associated with rapid bloom growth occurred in late June and again in mid-August in 2009 and in mid-July and late August in 2010. * In both years, the maxima for total phosphorus and total nitrogen concentrations coincided with the chlorophyll a maximum. The maxima for dissolved nutrient concentrations (orthophosphate, ammonia, and nitrite plus nitrate) coincided with the declines of the first blooms. * Total particulate carbon, total particulate nitrogen, and total particulate phosphorus concentrations were measured in 2009 only. The ratios of carbon to phosphorus and nitrogen to phosphorus in particulates were the highest of the entire season during the rapid growth phase of the first bloom and were the lowest of the season during the decline of the first bloom. These ratios increased with the onset of the second bloom in that year, but to a lesser degree. * Meteorological data show that 2009 was warmer (particularly in June and July), less windy, and more humid early in the season than 2010. The difference in water temperatures reflected the difference in air temperatures in that the lakes were warmer in 2009 than in 2010 starting in early May, when the sensors were deployed, through most of June. Water temperature peaked at a higher value in 2009, and there were more clear days in June 2009 than in June 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121142","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Eldridge, D.B., Caldwell Eldridge, S.L., Schenk, L.N., Tanner, D.Q., and Wood, T.M., 2012, Water-quality data from Upper Klamath and Agency Lakes, Oregon, 2009-10: U.S. Geological Survey Open-File Report 2012-1142, Report: vi; 32 p.; Appendixes, https://doi.org/10.3133/ofr20121142.","productDescription":"Report: vi; 32 p.; Appendixes","numberOfPages":"42","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":259967,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012-1142.jpg"},{"id":350590,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1142/data/ofr20121142_appendixes.zip","text":"Appendixes","linkFileType":{"id":3,"text":"xlsx"}},{"id":259959,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1142/","linkFileType":{"id":5,"text":"html"}},{"id":259960,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1142/pdf/ofr20121142.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator, Zone 10 North","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Agency Lake, Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.083333333333336 ], [ -122.16666666666667,42.666666666666664 ], [ -121.66666666666667,42.666666666666664 ], [ -121.66666666666667,42.083333333333336 ], [ -122.16666666666667,42.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bce15e4b08c986b32e1fc","contributors":{"authors":[{"text":"Eldridge, D. Blake","contributorId":40466,"corporation":false,"usgs":true,"family":"Eldridge","given":"D.","email":"","middleInitial":"Blake","affiliations":[],"preferred":false,"id":466862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":64502,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Dwight Q.","contributorId":93452,"corporation":false,"usgs":true,"family":"Tanner","given":"Dwight","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":466864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039726,"text":"fs20123085 - 2012 - Streamflow of 2011 - Water Year Summary","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"fs20123085","displayToPublicDate":"2012-08-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3085","title":"Streamflow of 2011 - Water Year Summary","docAbstract":"The maps and graph in this summary describe streamflow conditions for water year 2011 (October 1, 2010, to September 30, 2011) in the context of the 82-year period from 1930 through 2011, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey's (USGS) National Streamflow Information Program (http://water.usgs.gov/nsip/). The period 1930-2010 was used because, prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country. In the summary, reference is made to the term \"runoff,\" which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a single year was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation's rivers and streams in measurement units that can be compared from one area to another. Each of the maps and graphs can be expanded to a larger view by clicking on the image. In all of the graphics, a rank of 1 indicates the highest flow of all years analyzed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123085","usgsCitation":"Jian, X., Wolock, D.M., Lins, H.F., and Brady, S., 2012, Streamflow of 2011 - Water Year Summary: U.S. Geological Survey Fact Sheet 2012-3085, 8 p., https://doi.org/10.3133/fs20123085.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":259954,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3085.gif"},{"id":259936,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3085/","linkFileType":{"id":5,"text":"html"}},{"id":259937,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3085/fs2012-3085.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.58333333333334,13.216666666666667 ], [ 144.58333333333334,71.83333333333333 ], [ -64.25,71.83333333333333 ], [ -64.25,13.216666666666667 ], [ 144.58333333333334,13.216666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b13e4b08c986b31cc7b","contributors":{"authors":[{"text":"Jian, Xiaodong 0000-0002-9173-3482 xjian@usgs.gov","orcid":"https://orcid.org/0000-0002-9173-3482","contributorId":1282,"corporation":false,"usgs":true,"family":"Jian","given":"Xiaodong","email":"xjian@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":466824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":466823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":466825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":466826,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039718,"text":"70039718 - 2012 - Quantitative estimation of climatic parameters from vegetation data in North America by the mutual climatic range technique","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"70039718","displayToPublicDate":"2012-08-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative estimation of climatic parameters from vegetation data in North America by the mutual climatic range technique","docAbstract":"The mutual climatic range (MCR) technique is perhaps the most widely used method for estimating past climatic parameters from fossil assemblages, largely because it can be conducted on a simple list of the taxa present in an assemblage. When applied to plant macrofossil data, this unweighted approach (MCR<sub>un</sub>) will frequently identify a large range for a given climatic parameter where the species in an assemblage can theoretically live together. To narrow this range, we devised a new weighted approach (MCR<sub>wt</sub>) that employs information from the modern relations between climatic parameters and plant distributions to lessen the influence of the \"tails\" of the distributions of the climatic data associated with the taxa in an assemblage. To assess the performance of the MCR approaches, we applied them to a set of modern climatic data and plant distributions on a 25-km grid for North America, and compared observed and estimated climatic values for each grid point. In general, MCR<sub>wt</sub> was superior to MCR<sub>un</sub> in providing smaller anomalies, less bias, and better correlations between observed and estimated values. However, by the same measures, the results of Modern Analog Technique (MAT) approaches were superior to MCR<sub>wt</sub>. Although this might be reason to favor MAT approaches, they are based on assumptions that may not be valid for paleoclimatic reconstructions, including that: 1) the absence of a taxon from a fossil sample is meaningful, 2) plant associations were largely unaffected by past changes in either levels of atmospheric carbon dioxide or in the seasonal distributions of solar radiation, and 3) plant associations of the past are adequately represented on the modern landscape. To illustrate the application of these MCR and MAT approaches to paleoclimatic reconstructions, we applied them to a Pleistocene paleobotanical assemblage from the western United States. From our examinations of the estimates of modern and past climates from vegetation assemblages, we conclude that the MCR<sub>un</sub> technique provides reliable and unbiased estimates of the ranges of possible climatic conditions that can reasonably be associated with these assemblages. The application of MCR<sub>wt</sub> and MAT approaches can further constrain these estimates and may provide a systematic way to assess uncertainty. The data sets required for MCR analyses in North America are provided in a parallel publication.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.quascirev.2012.07.003","usgsCitation":"Anderson, K.H., Bartlein, P.J., Strickland, L.E., Pelltier, R.T., Thompson, R.S., and Shafer, S., 2012, Quantitative estimation of climatic parameters from vegetation data in North America by the mutual climatic range technique: Quaternary Science Reviews, v. 51, p. 18-39, https://doi.org/10.1016/j.quascirev.2012.07.003.","productDescription":"22 p.","startPage":"18","endPage":"39","numberOfPages":"21","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":259955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2012.07.003","linkFileType":{"id":5,"text":"html"}}],"country":"Canada;Mexico;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173,21.933333333333334 ], [ 173,71.83333333333333 ], [ -51.666666666666664,71.83333333333333 ], [ -51.666666666666664,21.933333333333334 ], [ 173,21.933333333333334 ] ] ] } } ] }","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9215e4b0c8380cd80643","contributors":{"authors":[{"text":"Anderson, Katherine H. 0000-0003-2677-6109","orcid":"https://orcid.org/0000-0003-2677-6109","contributorId":52556,"corporation":false,"usgs":true,"family":"Anderson","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":466794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlein, Patrick J.","contributorId":106879,"corporation":false,"usgs":true,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Laura E. 0000-0002-1958-7273 lstrickland@usgs.gov","orcid":"https://orcid.org/0000-0002-1958-7273","contributorId":4682,"corporation":false,"usgs":true,"family":"Strickland","given":"Laura","email":"lstrickland@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelltier, Richard T. 0000-0001-8322-7961 rtpelltier@usgs.gov","orcid":"https://orcid.org/0000-0001-8322-7961","contributorId":4683,"corporation":false,"usgs":true,"family":"Pelltier","given":"Richard","email":"rtpelltier@usgs.gov","middleInitial":"T.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466790,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":466793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039719,"text":"sim3225 - 2012 - California State Waters Map Series — Hueneme Canyon and vicinity, California","interactions":[],"lastModifiedDate":"2022-04-15T20:53:13.037763","indexId":"sim3225","displayToPublicDate":"2012-08-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3225","subseriesTitle":"California State Waters Map Series","title":"California State Waters Map Series — Hueneme Canyon and vicinity, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. The Hueneme Canyon and vicinity map area lies within the eastern Santa Barbara Channel region of the Southern California Bight. The area is part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation - at least 90&deg; - since the early Miocene has been proposed for the Western Transverse Ranges, and the region is presently undergoing north-south shortening. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area, which is offshore of the Oxnard plain and west of and along the trend of the south flank of the Santa Monica Mountains, lies at the east end of the Santa Barbara littoral cell, characterized by west-to-east littoral transport of sediment derived mainly from coastal watersheds. The Hueneme Canyon and vicinity map area in California's State Waters is characterized by two major physiographic features: (1) the nearshore continental shelf, and (2) the Hueneme and Mugu Submarine Canyon system, which, in the map area, includes Hueneme Canyon and parts of three smaller, unnamed headless canyons incised into the shelf southeast of Hueneme Canyon. The shelf is underlain by tens of meters of interbedded upper Quaternary shelf, estuarine, and fluvial deposits that formed as sea level fluctuated in the last several hundred thousand years. Hueneme Canyon extends about 15 km offshore from its canyon head near the dredged navigation channel of the Port of Hueneme. The canyon is relatively deep (about 150 m at the California's State Waters limit) and steep (canyon flanks as steep as 25&deg; to 30&deg;). Historically, Hueneme Canyon functioned as the eastern termination of the Santa Barbara littoral cell by trapping all eastward littoral drift, not only feeding the large Hueneme submarine fan but acting as the major conduit of sediment to the deep Santa Monica Basin; however, recent dredging programs needed to maintain Channel Islands Harbor and the Port of Hueneme have moved the nearshore sediment trapped by jetties and breakwaters to an area southeast of the Hueneme Canyon head. Seafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Hueneme Canyon and vicinity map area are related directly to the geomorphology and sedimentary processes that are the result of its Quaternary geologic history. The two basic megahabitats in the map area are Shelf (continental shelf) and Flank (continental slope). The flat seafloor of the continental shelf in the Hueneme Canyon and vicinity map area is dynamic, as indicated by mobile sand sheets and coarser grained scour depressions. The active Hueneme Canyon provides considerable relief to the continental shelf in the map area, and its irregular morphology of eroded walls, landslide scarps, and deposits and gullies provide promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms. Most invertebrates observed in the map area during camera ground-truth field operations are found on the edge of Hueneme Canyon, which may be an important area of recruitment and retention to other invertebrates and fishes. The smaller, more subtle, nonactive headless canyons located primarily on the continental slope also offer relief that provides habitat for groundfish and other organisms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3225","collaboration":"California Seafloor Mapping Program","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N., Phillips, E., Ritchie, A.C., Kvitek, R.G., Greene, H., Krigsman, L., Endris, C.A., Clahan, K.B., Sliter, R.W., Wong, F.L., Yoklavich, M.M., and Normark, W.R., 2012, California State Waters Map Series — Hueneme Canyon and vicinity, California: U.S. Geological Survey Scientific Investigations Map 3225, Report: iv, 41 p.; 12 Sheets: 53.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/sim3225.","productDescription":"Report: iv, 41 p.; 12 Sheets: 53.00 × 36.00 inches or smaller; Metadata; Data 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Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. 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,{"id":70039727,"text":"sir20125127 - 2012 - Hydrogeology of the stratified-drift aquifers in the Cayuta Creek and Catatonk Creek valleys in parts of Tompkins, Schuyler, Chemung, and Tioga Counties, New York","interactions":[],"lastModifiedDate":"2012-08-28T15:37:51","indexId":"sir20125127","displayToPublicDate":"2012-08-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5127","title":"Hydrogeology of the stratified-drift aquifers in the Cayuta Creek and Catatonk Creek valleys in parts of Tompkins, Schuyler, Chemung, and Tioga Counties, New York","docAbstract":"The surficial deposits, areal extent of aquifers, and the water-table configurations of the stratified-drift aquifer systems in the Cayuta Creek and Catatonk Creek valleys and their large tributary valleys in Tompkins, Schuyler, Chemung, and Tioga Counties, New York were mapped in 2009, in cooperation with the New York State Department of Environmental Conservation. Well and test-boring records, surficial deposit maps, Light Detection and Ranging (LIDAR) data, soils maps, and horizontal-to-vertical ambient-noise seismic surveys were used to map the extent of the aquifers, construct geologic sections, and determine the depth to bedrock (thickness of valley-fill deposits) at selected locations. Geologic materials in the study area include sedimentary bedrock, unstratified drift (till), stratified drift (glaciolacustrine and glaciofluvial deposits), and recent alluvium. Stratified drift consisting of glaciofluvial sand and gravel is the major component of the valley fill in this study area. The deposits are present in sufficient amounts in most places to form extensive unconfined aquifers throughout the study area and, in some places, confined aquifers. Stratified drift consisting of glaciolacustrine fine sand, silt, and clay are present locally in valleys underlying the surficial sand and gravel deposits in the southern part of the Catatonk Creek valley. These unconfined and confined aquifers are the source of water for most residents, farms, and businesses in the valleys. A generalized depiction of the water table in the unconfined aquifer was constructed using water-level measurements made from the 1950s through 2010, as well as LIDAR data that were used to determine the altitudes of perennial streams at 10-foot contour intervals and water surfaces of ponds and wetlands that are hydraulically connected to the unconfined aquifer. The configuration of the water-table contours indicate that the general direction of groundwater flow within Cayuta Creek and Catatonk Creek stratified-drift aquifers is predominantly from the valley walls toward the main streams in the valleys. The groundwater discharges from the aquifer system to the main-stem streams in the valleys. Locally, the direction of groundwater flow is radially away from groundwater mounds that have formed beneath upland tributaries that typically lose water where they flow on alluvial fans in the valleys. In some places, groundwater that would normally flow toward streams is intercepted by pumping wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125127","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Miller, T.S., and Pitman, L.M., 2012, Hydrogeology of the stratified-drift aquifers in the Cayuta Creek and Catatonk Creek valleys in parts of Tompkins, Schuyler, Chemung, and Tioga Counties, New York: U.S. Geological Survey Scientific Investigations Report 2012-5127, vi, 44 p.; 3 Plates; Plate 1: 27 x 31 inches, Plate 2: 32 x 31 inches, Plate 3: 28 x 31 inches, https://doi.org/10.3133/sir20125127.","productDescription":"vi, 44 p.; 3 Plates; Plate 1: 27 x 31 inches, Plate 2: 32 x 31 inches, Plate 3: 28 x 31 inches","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":259950,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5127.gif"},{"id":259941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5127/","linkFileType":{"id":5,"text":"html"}},{"id":259942,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5127/pdf/sir2012-5127_miller_cayuta_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259943,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5127/plates_final_pdfs/reduced_file_size/sir2012-5127_miller_plate01_webviewingonly.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259944,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5127/plates_final_pdfs/reduced_file_size/sir2012-5127_miller_plate02_webviewingonly.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259945,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5127/plates_final_pdfs/reduced_file_size/sir2012-5127_miller_plate03_webviewingonly.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 18 North","datum":"North American Datum 1983","country":"United States","state":"New York","county":"Chemung;Schuyler;Tioga;Tompkins","otherGeospatial":"Catatonk Creek;Cayuga Creek;Owego Creek Basin;St. Lawrence River Basin;Susquehanna River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.75,41.916666666666664 ], [ -76.75,42.416666666666664 ], [ -76.25,42.416666666666664 ], [ -76.25,41.916666666666664 ], [ -76.75,41.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a34c6e4b0c8380cd5fa11","contributors":{"authors":[{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Lacey M.","contributorId":60899,"corporation":false,"usgs":true,"family":"Pitman","given":"Lacey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466828,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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