{"pageNumber":"412","pageRowStart":"10275","pageSize":"25","recordCount":68873,"records":[{"id":70179631,"text":"70179631 - 2016 - Large-scale recovery of an endangered amphibian despite ongoing exposure to multiple stressors","interactions":[],"lastModifiedDate":"2017-01-10T11:34:29","indexId":"70179631","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale recovery of an endangered amphibian despite ongoing exposure to multiple stressors","docAbstract":"<p><span>Amphibians are one of the most threatened animal groups, with 32% of species at risk for extinction. Given this imperiled status, is the disappearance of a large fraction of the Earth’s amphibians inevitable, or are some declining species more resilient than is generally assumed? We address this question in a species that is emblematic of many declining amphibians, the endangered Sierra Nevada yellow-legged frog (</span><i>Rana sierrae</i><span>). Based on &gt;7,000 frog surveys conducted across Yosemite National Park over a 20-y period, we show that, after decades of decline and despite ongoing exposure to multiple stressors, including introduced fish, the recently emerged disease chytridiomycosis, and pesticides, </span><i>R. sierrae</i><span> abundance increased sevenfold during the study and at a rate of 11% per year. These increases occurred in hundreds of populations throughout Yosemite, providing a rare example of amphibian recovery at an ecologically relevant spatial scale. Results from a laboratory experiment indicate that these increases may be in part because of reduced frog susceptibility to chytridiomycosis. The disappearance of nonnative fish from numerous water bodies after cessation of stocking also contributed to the recovery. The large-scale increases in </span><i>R. sierrae</i><span> abundance that we document suggest that, when habitats are relatively intact and stressors are reduced in their importance by active management or species’ adaptive responses, declines of some amphibians may be partially reversible, at least at a regional scale. Other studies conducted over similarly large temporal and spatial scales are critically needed to provide insight and generality about the reversibility of amphibian declines at a global scale.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1600983113","usgsCitation":"Knapp, R.A., Fellers, G.M., Kleeman, P.M., Miller, D.A., Vrendenburg, V.T., Rosenblum, E.B., and Briggs, C.J., 2016, Large-scale recovery of an endangered amphibian despite ongoing exposure to multiple stressors: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 42, p. 11889-11894, https://doi.org/10.1073/pnas.1600983113.","productDescription":"6 p.","startPage":"11889","endPage":"11894","ipdsId":"IP-075546","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470292,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1600983113","text":"Publisher Index Page"},{"id":333020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"42","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-03","publicationStatus":"PW","scienceBaseUri":"58760115e4b04eac8e0746d9","chorus":{"doi":"10.1073/pnas.1600983113","url":"http://dx.doi.org/10.1073/pnas.1600983113","publisher":"Proceedings of the National Academy of Sciences","authors":"Knapp Roland A., Fellers Gary M., Kleeman Patrick M., Miller David A. W., Vredenburg Vance T., Rosenblum Erica Bree, Briggs Cheryl J.","journalName":"Proceedings of the National Academy of Sciences","publicationDate":"10/3/2016","publiclyAccessibleDate":"4/18/2017"},"contributors":{"authors":[{"text":"Knapp, Roland A.","contributorId":69901,"corporation":false,"usgs":false,"family":"Knapp","given":"Roland","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David A. W.","contributorId":126732,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A. W.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":657965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vrendenburg, Vance T.","contributorId":178116,"corporation":false,"usgs":false,"family":"Vrendenburg","given":"Vance","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":657966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenblum, Erica Bree","contributorId":104330,"corporation":false,"usgs":false,"family":"Rosenblum","given":"Erica","email":"","middleInitial":"Bree","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":657967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Briggs, Cheryl J.","contributorId":127721,"corporation":false,"usgs":false,"family":"Briggs","given":"Cheryl","email":"","middleInitial":"J.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":657968,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70180370,"text":"70180370 - 2016 - Protecting national parks from air pollution effects: Making sausage from science and policy","interactions":[],"lastModifiedDate":"2017-01-31T14:27:20","indexId":"70180370","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Protecting national parks from air pollution effects: Making sausage from science and policy","docAbstract":"The story of air pollution research, policy development, and management in national parks is a fascinating blend of cultural change, vision, interdisciplinary and interagency collaboration, and science-policy-management-stakeholder collaborations. Unable to ignore the loss of iconic vistas from regional haze and loss of fish from acid rain in the 1980s, the National Park Service (NPS) embraced an obligation to protect resources from threats originating outside park boundaries. Upholding the Organic Act requirement for parks to remain \"unimpaired\" for the enjoyment of future generations, and using the Clean Air Act statement that NPS has an “affirmative responsibility” to protect park resources, NPS has supported, and effectively used, research as a means to protect lands, waters, and vistas from a mostly unseen threat. Using visibility and atmospheric nitrogen deposition as examples, we will illustrate some success stories where NPS led the way to benefit not only parks, but the Nation.","language":"English","publisher":"University of Chicago Press","usgsCitation":"Baron, J., Blett, T., Malm, W.C., Alexander, R., and Doremus, H., 2016, Protecting national parks from air pollution effects: Making sausage from science and policy, p. 151-169.","productDescription":"19 p.","startPage":"151","endPage":"169","ipdsId":"IP-065116","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":334492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334490,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://press.uchicago.edu/ucp/books/book/chicago/S/bo25126049.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5891b0a8e4b072a7ac1298f1","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":174080,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":661411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blett, Tamara","contributorId":178864,"corporation":false,"usgs":false,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":661412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malm, William C.","contributorId":178865,"corporation":false,"usgs":false,"family":"Malm","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Ruth","contributorId":178866,"corporation":false,"usgs":false,"family":"Alexander","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":661414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doremus, Holly","contributorId":179009,"corporation":false,"usgs":false,"family":"Doremus","given":"Holly","email":"","affiliations":[],"preferred":false,"id":662067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70180390,"text":"70180390 - 2016 - Dissolved organic matter composition of Arctic rivers: Linking permafrost and parent material to riverine carbon","interactions":[],"lastModifiedDate":"2017-01-30T09:36:37","indexId":"70180390","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","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":"Dissolved organic matter composition of Arctic rivers: Linking permafrost and parent material to riverine carbon","docAbstract":"<p><span>Recent climate change in the Arctic is driving permafrost thaw, which has important implications for regional hydrology and global carbon dynamics. Permafrost is an important control on groundwater dynamics and the amount and chemical composition of dissolved organic matter (DOM) transported by high-latitude rivers. The consequences of permafrost thaw for riverine DOM dynamics will likely vary across space and time, due in part to spatial variation in ecosystem properties in Arctic watersheds. Here we examined watershed controls on DOM composition in 69 streams and rivers draining heterogeneous landscapes across a broad region of Arctic Alaska. We characterized DOM using bulk dissolved organic carbon (DOC) concentration, optical properties, and chemical fractionation and classified watersheds based on permafrost characteristics (mapping of parent material and ground ice content, modeling of thermal state) and ecotypes. Parent material and ground ice content significantly affected the amount and composition of DOM. DOC concentrations were higher in watersheds underlain by fine-grained loess compared to watersheds underlain by coarse-grained sand or shallow bedrock. DOC concentration was also higher in rivers draining ice-rich landscapes compared to rivers draining ice-poor landscapes. Similarly, specific ultraviolet absorbance (SUVA</span><sub>254</sub><span>, an index of DOM aromaticity) values were highest in watersheds underlain by fine-grained deposits or ice-rich permafrost. We also observed differences in hydrophobic organic acids, hydrophilic compounds, and DOM fluorescence across watersheds. Both DOC concentration and SUVA</span><sub>254</sub><span> were negatively correlated with watershed active layer thickness, as determined by high-resolution permafrost modeling. Together, these findings highlight how spatial variations in permafrost physical and thermal properties can influence riverine DOM.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GB005482","usgsCitation":"O’Donnell, J.A., Aiken, G.R., Swanson, D.K., Santosh, P., Butler, K.D., and Baltensperger, A.P., 2016, Dissolved organic matter composition of Arctic rivers: Linking permafrost and parent material to riverine carbon: Global Biogeochemical Cycles, v. 30, no. 12, p. 1811-1826, https://doi.org/10.1002/2016GB005482.","productDescription":"16 p","startPage":"1811","endPage":"1826","ipdsId":"IP-081691","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005482","text":"Publisher Index Page"},{"id":334279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58905ef1e4b072a7ac0cad35","contributors":{"authors":[{"text":"O’Donnell, Jonathan A.","contributorId":178151,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, David K.","contributorId":178902,"corporation":false,"usgs":false,"family":"Swanson","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":661503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santosh, Panda","contributorId":178903,"corporation":false,"usgs":false,"family":"Santosh","given":"Panda","email":"","affiliations":[],"preferred":false,"id":661504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baltensperger, Andrew P.","contributorId":178904,"corporation":false,"usgs":false,"family":"Baltensperger","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":661505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70180631,"text":"70180631 - 2016 - Geography and host species shape the evolutionary dynamics of U genogroup infectious hematopoietic necrosis virus","interactions":[],"lastModifiedDate":"2018-02-02T11:05:49","indexId":"70180631","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Geography and host species shape the evolutionary dynamics of U genogroup infectious hematopoietic necrosis virus","docAbstract":"<p><span>Infectious hematopoietic necrosis virus (IHNV) is a negative-sense RNA virus that infects wild and cultured salmonids throughout the Pacific Coastal United States and Canada, from California to Alaska. Although infection of adult fish is usually asymptomatic, juvenile infections can result in high mortality events that impact salmon hatchery programs and commercial aquaculture. We used epidemiological case data and genetic sequence data from a 303 nt portion of the viral glycoprotein gene to study the evolutionary dynamics of U genogroup IHNV in the Pacific Northwestern United States from 1971 to 2013. We identified 114 unique genotypes among 1,219 U genogroup IHNV isolates representing 619 virus detection events. We found evidence for two previously unidentified, broad subgroups within the U genogroup, which we designated ‘UC’ and ‘UP’. Epidemiologic records indicated that UP viruses were detected more frequently in sockeye salmon (</span><i>Oncorhynchus nerka</i><span>) and in coastal waters of Washington and Oregon, whereas UC viruses were detected primarily in Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) and steelhead trout (</span><i>Oncorhynchus mykiss</i><span>) in the Columbia River Basin, which is a large, complex watershed extending throughout much of interior Washington, Oregon, and Idaho. These findings were supported by phylogenetic analysis and by<span>&nbsp;</span></span><i>F</i><sub>ST</sub><span>. Ancestral state reconstruction indicated that early UC viruses in the Columbia River Basin initially infected sockeye salmon but then emerged via host shifts into Chinook salmon and steelhead trout sometime during the 1980s. We postulate that the development of these subgroups within U genogroup was driven by selection pressure for viral adaptation to Chinook salmon and steelhead trout within the Columbia River Basin.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ve/vew034","usgsCitation":"Black, A., Breyta, R., Bedford, T., and Kurath, G., 2016, Geography and host species shape the evolutionary dynamics of U genogroup infectious hematopoietic necrosis virus: Virus Evolution, v. 2, no. 2, Article vew034; 13 p., https://doi.org/10.1093/ve/vew034.","productDescription":"Article vew034; 13 p.","ipdsId":"IP-074420","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/vew034","text":"Publisher Index 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Trevor","contributorId":178965,"corporation":false,"usgs":false,"family":"Bedford","given":"Trevor","email":"","affiliations":[],"preferred":false,"id":661805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":661802,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187400,"text":"70187400 - 2016 - Water isotope systematics: Improving our palaeoclimate interpretations","interactions":[],"lastModifiedDate":"2017-05-01T15:51:05","indexId":"70187400","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","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":"Water isotope systematics: Improving our palaeoclimate interpretations","docAbstract":"<p>The stable isotopes of oxygen and hydrogen, measured in a variety of archives, are widely used proxies in Quaternary Science. Understanding the processes that control δ18O change have long been a focus of research (e.g. Shackleton and Opdyke, 1973; Talbot, 1990 ; Leng, 2006). Both the dynamics of water isotope cycling and the appropriate interpretation of geological water-isotope proxy time series remain subjects of active research and debate. It is clear that achieving a complete understanding of the isotope systematics for any given archive type, and ideally each individual archive, is vital if these palaeo-data are to be used to their full potential, including comparison with climate model experiments of the past. Combining information from modern monitoring and process studies, climate models, and proxy data is crucial for improving our statistical constraints on reconstructions of past climate variability.</p><p>As climate models increasingly incorporate stable water isotope physics, this common language should aid quantitative comparisons between proxy data and climate model output. Water-isotope palaeoclimate data provide crucial metrics for validating GCMs, whereas GCMs provide a tool for exploring the climate variability dominating signals in the proxy data. Several of the studies in this set of papers highlight how collaborations between palaeoclimate experimentalists and modelers may serve to expand the usefulness of palaeoclimate data for climate prediction in future work.</p><p>This collection of papers follows the session on Water Isotope Systematics held at the 2013 AGU Fall Meeting in San Francisco. Papers in that session, the breadth of which are represented here, discussed such issues as; understanding sub-GNIP scale (Global Network for Isotopes in Precipitation, (IAEA/WMO, 2006)) variability in isotopes in precipitation from different regions, detailed examination of the transfer of isotope signals from precipitation to geological archives, and the implications of advances in understanding in these areas for the interpretation of palaeo records and proxy data – climate model comparison.</p><p>Here, we briefly review these areas of research, and discuss challenges for the water isotope community in improving our ability to partition climate vs. auxiliary signals in palaeoclimate data.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2015.11.014","usgsCitation":"Jones, M.D., Dee, S., Anderson, L., Baker, A., Bowen, G., and Noone, D., 2016, Water isotope systematics: Improving our palaeoclimate interpretations: Quaternary Science Reviews, v. 131, no. B, p. 243-249, https://doi.org/10.1016/j.quascirev.2015.11.014.","productDescription":"7 p.","startPage":"243","endPage":"249","ipdsId":"IP-071594","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470291,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.quascirev.2015.11.014","text":"External Repository"},{"id":340706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"B","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084923e4b0fc4e448ffd44","contributors":{"authors":[{"text":"Jones, M. D.","contributorId":191681,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dee, S.","contributorId":191682,"corporation":false,"usgs":false,"family":"Dee","given":"S.","email":"","affiliations":[],"preferred":false,"id":693844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, L.","contributorId":22571,"corporation":false,"usgs":false,"family":"Anderson","given":"L.","affiliations":[],"preferred":false,"id":693845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, A.","contributorId":191683,"corporation":false,"usgs":false,"family":"Baker","given":"A.","affiliations":[],"preferred":false,"id":693846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowen, G.","contributorId":191684,"corporation":false,"usgs":false,"family":"Bowen","given":"G.","email":"","affiliations":[],"preferred":false,"id":693847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noone, D.","contributorId":26916,"corporation":false,"usgs":true,"family":"Noone","given":"D.","email":"","affiliations":[],"preferred":false,"id":693848,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178796,"text":"70178796 - 2016 - Streamflow data","interactions":[],"lastModifiedDate":"2017-11-16T13:19:45","indexId":"70178796","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Streamflow data","docAbstract":"<p>The importance of streamflow data to the world’s economy, environmental health, and public safety continues to grow as the population increases. The collection of streamflow data is often an involved and complicated process. The quality of streamflow data hinges on such things as site selection, instrumentation selection, streamgage maintenance and quality assurance, proper discharge measurement techniques, and the development and continued verification of the streamflow rating. This chapter serves only as an overview of the streamflow data collection process as proper treatment of considerations, techniques, and quality assurance cannot be addressed adequately in the space limitations of this chapter. Readers with the need for the detailed information on the streamflow data collection process are referred to the many references noted in this chapter.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Applied Hydrology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"McGraw-Hill","publisherLocation":"New York, NY","usgsCitation":"Holmes, R.R., 2016, Streamflow data, chap. <i>of</i> Handbook of Applied Hydrology, p. 5-1-5-7.","productDescription":"7 p.","startPage":"5-1","endPage":"5-7","ipdsId":"IP-062503","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":333133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348997,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.mhprofessional.com/9780071835091-usa-handbook-of-applied-hydrology-second-edition-group"}],"edition":"Second edition","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d95818","contributors":{"editors":[{"text":"Singh, Vijay P.","contributorId":176741,"corporation":false,"usgs":false,"family":"Singh","given":"Vijay","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722463,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":722440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190674,"text":"70190674 - 2016 - Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana","interactions":[],"lastModifiedDate":"2018-08-09T12:11:51","indexId":"70190674","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana","docAbstract":"<p><span>Low-flow synoptic sampling campaigns are often used as the primary tool to characterize watersheds affected by mining. Although such campaigns are an invaluable part of site characterization, investigations which focus solely on low-flow conditions may yield misleading results. The objective of this paper is to demonstrate this point and elucidate the mechanisms responsible for the release of metals during rainfall runoff. This objective is addressed using data from diel and synoptic sampling campaigns conducted over a two-day period. Low-flow synoptic sampling results indicate that concentrations of most constituents meet aquatic standards. This finding is in contrast to findings from a diel sampling campaign that captured dramatic increases in concentrations during rainfall runoff. Concentrations during the rising limb of the hydrograph were 2–23 times concentrations observed during synoptic sampling (most increases were &gt;10-fold), remaining elevated during the receding limb of the hydrograph to produce a clockwise hysteresis loop. Hydrologic mechanisms responsible for the release of metals include increased transport due to resuspension of streambed solids, erosion of alluvial tailings, and overland flow. Rainfall also elevated the alluvial groundwater table and increased infiltration through the vadose zone, likely resulting in dissolution from alluvial tailings that were dry prior to the event.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b03190","usgsCitation":"Runkel, R.L., Kimball, B.A., Nimick, D.A., and Walton-Day, K., 2016, Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana: Environmental Science & Technology, v. 50, no. 23, p. 12641-12649, https://doi.org/10.1021/acs.est.6b03190.","productDescription":"9 p.","startPage":"12641","endPage":"12649","ipdsId":"IP-077544","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":345641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Butte","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.5838565826416,\n              45.986526035337306\n            ],\n            [\n              -112.5182819366455,\n              45.986526035337306\n            ],\n            [\n              -112.5182819366455,\n              46.005606753418796\n            ],\n            [\n              -112.5838565826416,\n              46.005606753418796\n            ],\n            [\n              -112.5838565826416,\n              45.986526035337306\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"23","noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"59b8f220e4b08b1644e0aef2","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":710139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":710140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192155,"text":"70192155 - 2016 - Mineral resources: Reserves, peak production and the future","interactions":[],"lastModifiedDate":"2018-03-27T17:26:10","indexId":"70192155","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5507,"text":"Resources","printIssn":"2079-9276","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resources: Reserves, peak production and the future","docAbstract":"<p><span>The adequacy of mineral resources in light of population growth and rising standards of living has been a concern since the time of Malthus (1798), but many studies erroneously forecast impending peak production or exhaustion because they confuse reserves with “all there is”. Reserves are formally defined as a subset of resources, and even current and potential resources are only a small subset of “all there is”. Peak production or exhaustion cannot be modeled accurately from reserves. Using copper as an example, identified resources are twice as large as the amount projected to be needed through 2050. Estimates of yet-to-be discovered copper resources are up to 40-times more than currently-identified resources, amounts that could last for many centuries. Thus, forecasts of imminent peak production due to resource exhaustion in the next 20–30 years are not valid. Short-term supply problems may arise, however, and supply-chain disruptions are possible at any time due to natural disasters (earthquakes, tsunamis, hurricanes) or political complications. Needed to resolve these problems are education and exploration technology development, access to prospective terrain, better recycling and better accounting of externalities associated with production (pollution, loss of ecosystem services and water and energy use).</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/resources5010014","usgsCitation":"Meinert, L.D., Robinson, G., and Nassar, N.T., 2016, Mineral resources: Reserves, peak production and the future: Resources, v. 5, no. 1, Article 14; 14 p., https://doi.org/10.3390/resources5010014.","productDescription":"Article 14; 14 p.","ipdsId":"IP-073442","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":470289,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/resources5010014","text":"Publisher Index Page"},{"id":347133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-29","publicationStatus":"PW","scienceBaseUri":"59eeffaae4b0220bbd988fbb","contributors":{"authors":[{"text":"Meinert, Lawrence D. lmeinert@usgs.gov","contributorId":1639,"corporation":false,"usgs":true,"family":"Meinert","given":"Lawrence","email":"lmeinert@usgs.gov","middleInitial":"D.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":714470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Gilpin 0000-0002-9676-9564 grobinso@usgs.gov","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":192163,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","email":"grobinso@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":714471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":714472,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190605,"text":"70190605 - 2016 - A Tour de Force by Hawaii's invasive mammals: establishment, takeover, ecosystem restoration through eradication","interactions":[],"lastModifiedDate":"2018-01-04T08:32:28","indexId":"70190605","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A Tour de Force by Hawaii's invasive mammals: establishment, takeover, ecosystem restoration through eradication","docAbstract":"Invasive mammals, large and small, have irreversibly altered Hawaii's ecosystems in numerous cases through unnatural herbivory, predation, and the transmission of zoonotic diseases, thereby causing the disproportionate extinction of flora and fauna that occur nowhere else on Earth. The control and eradication of invasive mammals is the single most expensive management activity necessary for restoring ecological integrity to many natural areas of Hawai'i and other Pacific Islands, and has already\nadvanced the restoration of native biota. Science applications supporting management efforts have been shaped by longstanding collaborative federal research programs over the past four decades. Consequently, feral goats have been removed from > l ,3 58 km2, and feral pigs have been removed from >723 km2 of lands in Hawai'i, bringing about the gradual recovery of forest ecosystems. The exclusion of other non-native ungulates and invasive mammals is now being undertaken with more sophisticated control techniques and fences. New fence designs are now capable of excluding feral cats from large areas to protect endangered native waterfowl and\nnesting seabirds. Rodenticides that have been tested and registered for hand and aerial broadcast in Hawai'i have been used to eradicate rats from small offshore islands to protect nesting seabirds and are now being applied to montane environment of larger islands to protect forest birds. Forward-looking infrared radar is also being applied to locate cryptic wild ungulates that were more recently introduced to some islands. All invasive mammals have been eradicated from some smaller islands, resulting in the restoration of some ecosystem processes such as natural forest regeneration, but changes in other processes such as fire regimes and nutrient cycling remain more difficult to reverse at larger landscape scales. It may soon be possible to manage areas on larger islands to be free of invasive mammals at least during seasonally important periods for native species, but at the same time, new mammal introductions continue to occur.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"27th Vertebrate Pest Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"University of California, Davis","usgsCitation":"Hess, S.C., 2016, A Tour de Force by Hawaii's invasive mammals: establishment, takeover, ecosystem restoration through eradication, <i>in</i> 27th Vertebrate Pest Conference, p. 361-367.","productDescription":"7 p.","startPage":"361","endPage":"367","ipdsId":"IP-080033","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":345610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345603,"type":{"id":15,"text":"Index Page"},"url":"https://www.vpconference.org/Proceedings_of_the_Vertebrate_Pest_Conference/"}],"country":"United States","state":"Hawaii","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b76f7de4b08b1644ddfb06","contributors":{"authors":[{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":709969,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192264,"text":"70192264 - 2016 - Thiamine and lipid utilization in fasting Chinook salmon","interactions":[],"lastModifiedDate":"2020-05-21T15:20:22.545983","indexId":"70192264","displayToPublicDate":"2016-12-31T09:58:46","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5527,"text":"North Pacific Anadromous Fish Commission Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Thiamine and lipid utilization in fasting Chinook salmon","docAbstract":"<p>A laboratory study was conducted to estimate utilization rates of thiamine (vitamin B<sub>1</sub>) and lipid in whole fish, muscle, and liver tissues of fasting Chinook salmon (<i>Oncorhynchus tshawytscha</i>). The experiment was conducted with Chinook salmon held at 5ºC over a period of 150 days to simulate fasting during migration or overwintering. Chinook salmon body length and wet weight did not change (<i>p</i> &gt; 0.05) over the course of the study; however, significant declines were observed in muscle thiamine (<i>p</i> &lt; 0.01) and lipid (p &lt; 0.01). There was an inverse relationship between lipid and water content. Under the experimental conditions with no strenuous swimming, thiamine utilization rates reported are conservative estimates and were found to be 5.3–6.8 pmol·g<sup>-1</sup>·day<sup>-1</sup> in muscle tissue and ~110 pmol·g<sup>-1</sup>·day<sup>-1</sup> in liver tissue over the first 100 days. Fasting lipid depletion rates in whole fish were calculated to be 0.14–0.16%·d<sup>-1</sup>. Muscle lipid decline rate (0.13%·day<sup>-1</sup>) over the first 100 days was similar to whole fish lipid loss, however, muscle lipid utilization was slower (0.04%·day<sup>-1</sup>) over the last 50 days. During periods of fasting, Chinook salmon deplete bodily reserves of both thiamine and lipid which may have consequences for successful spawning migration and overwinter survival. </p>","language":"English","publisher":"North Pacific Fish Anadromous Fish Commission","doi":"10.23849/npafcb6/13.19","usgsCitation":"Honeyfield, D.C., Peters, A.K., and Jones, M., 2016, Thiamine and lipid utilization in fasting Chinook salmon: North Pacific Anadromous Fish Commission Bulletin, v. 6, p. 13-19, https://doi.org/10.23849/npafcb6/13.19.","productDescription":"7 p.","startPage":"13","endPage":"19","ipdsId":"IP-071017","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.23849/npafcb6/13.19","text":"Publisher Index Page"},{"id":374995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Honeyfield, Dale C. 0000-0003-3034-2047 honeyfie@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":2774,"corporation":false,"usgs":true,"family":"Honeyfield","given":"Dale","email":"honeyfie@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":715057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peters, A. K.","contributorId":56860,"corporation":false,"usgs":true,"family":"Peters","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":789666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":789667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207589,"text":"70207589 - 2016 - Habitat and diet of equids","interactions":[],"lastModifiedDate":"2019-12-31T09:53:22","indexId":"70207589","displayToPublicDate":"2016-12-31T09:52:14","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Habitat and diet of equids","docAbstract":"In this chapter, we present information  from studies of equids and their \nhabitat use across various habitat types.  We provide a synthesis of the scientific\nliterature on equid habitat selection, home range, and movements, water needs,\nand diet.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wild equids: Ecology, management, and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","isbn":"9781421419091","usgsCitation":"Schoenecker, K., King, S.R., Nordquist, M.K., Dejid, N., and Cao, Q., 2016, Habitat and diet of equids, chap. 4 <i>of</i> Wild equids: Ecology, management, and conservation, p. 41-57.","productDescription":"17 p.","startPage":"41","endPage":"57","ipdsId":"IP-061371","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":370895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370894,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jhupbooks.press.jhu.edu/title/wild-equids/table-of-contents"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":778618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sarah R.B.","contributorId":221546,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R.B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":778619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordquist, Megan K.","contributorId":221547,"corporation":false,"usgs":false,"family":"Nordquist","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":778620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dejid, Nandintsetseg","contributorId":221548,"corporation":false,"usgs":false,"family":"Dejid","given":"Nandintsetseg","email":"","affiliations":[{"id":40404,"text":"Goethe University, Germany","active":true,"usgs":false}],"preferred":false,"id":778621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cao, Quing","contributorId":221549,"corporation":false,"usgs":false,"family":"Cao","given":"Quing","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":778622,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187206,"text":"70187206 - 2016 - Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.)","interactions":[],"lastModifiedDate":"2017-04-27T09:59:13","indexId":"70187206","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"122-2016","title":"Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.)","docAbstract":"<p>With increased pressure from a growing human population, managers are challenged to understand how novel disturbances (e.g., climate change, increased water withdrawals, urbanization) may affect natural resources. The Sudbury River is a National Wild and Scenic River located in suburban Boston, Massachusetts (Northeastern US) with myriad impairments (e.g., mainstem impoundments, withdrawals, and urbanization) that is under increasing pressure from hydrologic alteration. We sampled fish, mussel, and macroinvertebrate assemblages in the Sudbury River and used species traits to investigate potential effects of past and future flow alteration on biota. Analysis of 33 years of stream gage data indicates continued hydrologic alteration of the Sudbury River, likely related to increased urbanization and water withdrawals over that time. These changes include a roughly 200% increase in rise rates of flows, an approximate 65% decrease in 1-day minimum flows, and a trend towards increasing high flow pulse counts. Biotic sampling in summer of 2014 demonstrated that the Sudbury River is now dominated by generalist species. Of five mussel species sampled, all are generalists in their habitat requirements. Though one mussel species of special concern was sampled, the most abundant species collected were the widespread Eastern elliptio (58%) and Eastern lampmussel (40%). We used the target fish community (TFC) model to assess the degree to which the fish assemblage deviated from that expected for a river with similar zoogeographic and physical features. Overall, the current community has a 22.7% similarity to the TFC. Of the four fluvial specialist species present in the TFC, only fallfish was sampled in our study. While the TFC showed that the historical assemblage was likely dominated by fluvial specialist and fluvial dependent species, the current assemblage is overwhelmingly dominated by macrohabitat generalists (90.6% of fishes sampled). These results are consistent with other studies that show shifts in assemblages from fluvial specialists to habitat generalists with hydrologic alteration. If the current trends continue, it is likely that biotic assemblages will experience increasing pressure from hydrologic alteration. While hydrologic alteration is likely impacting biotic assemblages in the Sudbury River, other factors such as high temperatures, low dissolved oxygen, high nutrients, low availability of high-quality habitat, and poor habitat connectivity may also be negatively impacting biotic assemblages. Comparisons to other rivers and a complete longitudinal habitat survey could help to identify availability of unique habitats and representativeness of this study. While this study suggests impacts of flow on biota, future studies with quantitative, habitat-specific sampling during different flow levels could help to directly identify links between hydrologic alteration and biotic impairment in the Sudbury River.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Roy, A.H., Jane, S.F., Hazelton, P.D., Richards, T.A., Finn, J.T., and Randhir, T.O., 2016, Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.): Cooperator Science Series 122-2016, vi, 78 p.","productDescription":"vi, 78 p.","ipdsId":"IP-065793","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2152/rec/19"}],"country":"United States","state":"Massachussetts","otherGeospatial":"Sudbury River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.63497924804688,\n              42.13998671872691\n            ],\n            [\n              -71.17767333984375,\n              42.13998671872691\n            ],\n            [\n              -71.17767333984375,\n              42.5530802889558\n            ],\n            [\n              -71.63497924804688,\n              42.5530802889558\n            ],\n            [\n              -71.63497924804688,\n              42.13998671872691\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b96","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jane, Stephen F.","contributorId":191442,"corporation":false,"usgs":false,"family":"Jane","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":693056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":171765,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Todd A.","contributorId":52266,"corporation":false,"usgs":true,"family":"Richards","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":693059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randhir, Timothy O.","contributorId":191443,"corporation":false,"usgs":false,"family":"Randhir","given":"Timothy","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":693060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173826,"text":"70173826 - 2016 - Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","interactions":[],"lastModifiedDate":"2017-11-08T17:24:55","indexId":"70173826","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","docAbstract":"<p><span>Transmissivity is a bulk hydraulic property that can be correlated with bulk electrical properties of an aquifer. In aquifers that are electrically-resistive relative to adjacent layers in a horizontally stratified sequence, transmissivity has been shown to correlate with bulk transverse resistance. Conversely, in aquifers that are electrically-conductive relative to adjacent layers, transmissivity has been shown to correlate with bulk longitudinal conductance. In both cases, previous investigations have relied on small datasets (on average less than eight observations) that have yielded coefficients of determination (R</span><sup>2</sup><span>) that are typically in the range of 0.6 to 0.7 to substantiate these relations. Compared to previous investigations, this paper explores hydraulic-electrical relations using a much larger dataset. Geophysical data collected from 26 boreholes in Emirate Abu Dhabi, United Arab Emirates, are used to correlate transmissivity modeled from neutron porosity logs to the bulk electrical properties of the surficial aquifer that are computed from deep-induction logs. Transmissivity is found to be highly correlated with longitudinal conductance. An R</span><sup>2</sup><span><span>&nbsp;</span>value of 0.853 is obtained when electrical effects caused by variations in pore-fluid salinity are taken into consideration.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems","conferenceDate":"March 20-24, 2016","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Exploration Geophysicists and Environment and Engineering Geophysical Society","doi":"10.4133/SAGEEP.29-060","issn":"1554-8015","usgsCitation":"Ikard, S., and Kress, W.H., 2016, Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, Denver, CO, March 20-24, 2016, p. 340-353, https://doi.org/10.4133/SAGEEP.29-060.","productDescription":"14 p.","startPage":"340","endPage":"353","ipdsId":"IP-070679","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":348522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453d0","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638522,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196908,"text":"70196908 - 2016 - Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","interactions":[],"lastModifiedDate":"2018-05-14T13:17:12","indexId":"70196908","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Winter and summer home ranges of American White Pelicans (<i>Pelecanus erythrorhynchos</i>) captured at loafing sites in the southeastern United States","title":"Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","docAbstract":"<p><span>Satellite telemetry was used to investigate summer and winter home ranges for resident and migrant American White Pelicans (</span><i>Pelecanus erythrorhynchos</i><span>) captured in the southeastern United States between 2002 and 2007. Home range utilization distributions were calculated using 50% and 95% kernel density estimators with the plug-in bandwidth selector. Mean summer home ranges (95%) varied from 177 to 4,710 km</span><sup>2</sup><span><span>&nbsp;</span>and mean winter home ranges (95%) ranged from 185 to 916 km</span><sup>2</sup><span>. Mean 50% and 95% home ranges of adult American White Pelicans during summer tended to be larger than those during winter, whereas mean 50% and 95% home ranges of immature pelicans during summer tended to be smaller than those during winter. Home ranges for all American White Pelicans encompassed the latitude range of 24°–55° N, including wintering, stop over, and nesting habitat. These data provide baseline movement and home range data for future studies of American White Pelican ecology.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0308","usgsCitation":"King, D.T., Fischer, J.W., Strickland, B.K., Walter, W.D., Cunningham, F.L., and Wang, G., 2016, Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States: Waterbirds, v. 39, no. 3, p. 287-294, https://doi.org/10.1675/063.039.0308.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-073597","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.2841796875,\n              27.916766641249065\n            ],\n            [\n              -83.5400390625,\n              27.916766641249065\n            ],\n            [\n              -83.5400390625,\n              36.73888412439431\n            ],\n            [\n              -96.2841796875,\n              36.73888412439431\n            ],\n            [\n              -96.2841796875,\n              27.916766641249065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee922e4b0da30c1bfc529","contributors":{"authors":[{"text":"King, D. Tommy","contributorId":204839,"corporation":false,"usgs":false,"family":"King","given":"D.","email":"","middleInitial":"Tommy","affiliations":[],"preferred":false,"id":735085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Justin W.","contributorId":171828,"corporation":false,"usgs":false,"family":"Fischer","given":"Justin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":735086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Bronson K.","contributorId":146266,"corporation":false,"usgs":false,"family":"Strickland","given":"Bronson","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":735087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cunningham, Fred L.","contributorId":176522,"corporation":false,"usgs":false,"family":"Cunningham","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":735088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Guiming","contributorId":204820,"corporation":false,"usgs":false,"family":"Wang","given":"Guiming","email":"","affiliations":[],"preferred":false,"id":735089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191587,"text":"70191587 - 2016 - Continuous monitoring of suspended sediment for reservoir management","interactions":[],"lastModifiedDate":"2018-01-05T16:05:13","indexId":"70191587","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Continuous monitoring of suspended sediment for reservoir management","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"River Flow 2016","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"River Flow 2016","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, Iowa","language":"English","isbn":"9781138029132","collaboration":"Kansas Water Office","usgsCitation":"Juracek, K.E., Lee, C.J., and Gnau, C., 2016, Continuous monitoring of suspended sediment for reservoir management, <i>in</i> River Flow 2016, Iowa City, Iowa, July 11-14, 2016, p. 1401-1407.","productDescription":"7 p.","startPage":"1401","endPage":"1407","ipdsId":"IP-069721","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":350344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e25","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038 cjlee@usgs.gov","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":2627,"corporation":false,"usgs":true,"family":"Lee","given":"Casey","email":"cjlee@usgs.gov","middleInitial":"J.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":712820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gnau, C.B.","contributorId":201455,"corporation":false,"usgs":false,"family":"Gnau","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":725430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191647,"text":"70191647 - 2016 - Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","interactions":[],"lastModifiedDate":"2018-01-05T16:14:36","indexId":"70191647","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Life history and status of Shortnose Sturgeon (<i>Acipenser brevirostrum </i> LeSueur, 1818)","title":"Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","docAbstract":"Shortnose Sturgeon = SNS (Acipenser brevirostrum) is a small diadromous species with most populations living in large Atlantic coast rivers and estuaries of North America from New Brunswick, Canada, to GA, USA. There are no naturally landlocked populations, so all populations require access to fresh water and salt water to complete a natural life cycle. The species is amphidromous with use of fresh water and salt water (the estuary) varied across the species range, a pattern that may reflect whether freshwater or saltwater habitats provide optimal foraging and growth conditions. Migration is a dominant behavior during life history, beginning when fish are hatchling free embryos (southern SNS) or larvae (northeastern and far northern SNS). Migration continues by juveniles and nonspawning adult life stages on an individual time schedule with fish moving between natal river and estuary to forage or seek refuge, and by spawning adults migrating to and from riverine spawning grounds. Coastal movements by adults throughout the range (but particularly in the Gulf of Maine = GOM and among southern rivers) suggest widespread foraging, refuge use, and widespread colonization of new rivers. Colonization may also be occurring in the Potomac River, MD–VA–DC (midAtlantic region). Genetic studies (mtDNA and nDNA) identified distinct individual river populations of SNS, and recent rangewide nDNA studies identified five distinct evolutionary lineages of SNS in the USA: a northern metapopulation in GOM rivers; the Connecticut River; the Hudson River; a Delaware River–Chesapeake Bay metapopulation; and a large southern metapopulation (SC rivers to Altamaha River, GA). The Saint John River, NB, Canada, in the Bay of Fundy (north of the GOM), is the sixth distinct genetic lineage within SNS. Life history information from telemetry tracking supports the genetic information documenting extensive movement of adults among rivers within the three metapopulations. However, individual river populations with spawning adults are still the best basal unit for management and recovery planning. The focus on individual river populations should be complemented with attention to migratory processes and corridors that foster metapopulation level risks and benefits. The species may be extirpated at the center of the range, i.e., the midAtlantic region (Chesapeake Bay, MD–VA, and probably, NC), but large rivers in VA, including the James and Potomac rivers, need study. The largest SNS populations in GOM and northeastern rivers, like the Kennebec, Hudson, and Delaware rivers, typically have tens of thousands of adults. This contrasts with southern rivers, where rivers typically have much fewer (<2500) adults, except for the Altamaha River (>6000 adults). River damming in the 19th and 20th Centuries extirpated some populations, and also, created two dysfunctional segmented populations: the Connecticut River SNS in CT–MA and the SanteeCooper rivers–Lake Marion SNS in SC. The major anthropogenic impact on SNS in marine waters is fisheries bycatch. The major impacts that determine annual recruitment success occur in freshwater firstly, where adult spawning migrations and spawning are blocked or spawning success is affected by river regulation and secondly, where poor survival of early life stages is caused by river dredging, pollution, and unregulated impingement/entrainment in water withdrawal facilities. Climate warming has the potential to reduce abundance or eliminate SNS in many rivers, particularly in the South. In 1998, the National Marine Fisheries Service (NMFS) recommended management of 19 rivers as distinct population segments (DPSs) based on strong fidelity to natal rivers. A Biological Assessment completed in 2010 reaffirmed this approach. NMFS has not formally listed DPSs under the ESA and the species remains listed as endangered rangewide in the USA.","language":"English","publisher":"Wiley","doi":"10.1111/jai.13244","usgsCitation":"Kynard, B., Bolden, S., Kieffer, M., Collins, M., Brundage, H., Hilton, E., Litvak, M., Kinnison, M.T., King, T.L., and Peterson, D.C., 2016, Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818): Journal of Applied Ichthyology, v. 32, no. 51, p. 208-248, https://doi.org/10.1111/jai.13244.","productDescription":"11 p.","startPage":"208","endPage":"248","ipdsId":"IP-049173","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470303,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jai.13244","text":"External Repository"},{"id":350345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"51","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-16","publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e22","contributors":{"authors":[{"text":"Kynard, Boyd","contributorId":197212,"corporation":false,"usgs":false,"family":"Kynard","given":"Boyd","affiliations":[],"preferred":false,"id":712954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolden, Stephania","contributorId":197213,"corporation":false,"usgs":false,"family":"Bolden","given":"Stephania","affiliations":[],"preferred":false,"id":712955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Mark","contributorId":197214,"corporation":false,"usgs":false,"family":"Collins","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brundage, Hal","contributorId":197215,"corporation":false,"usgs":false,"family":"Brundage","given":"Hal","email":"","affiliations":[],"preferred":false,"id":712957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilton, Eric","contributorId":197216,"corporation":false,"usgs":false,"family":"Hilton","given":"Eric","email":"","affiliations":[],"preferred":false,"id":712958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Litvak, Mark","contributorId":197217,"corporation":false,"usgs":false,"family":"Litvak","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":712960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peterson, Douglas C.","contributorId":140154,"corporation":false,"usgs":false,"family":"Peterson","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":712962,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70196907,"text":"70196907 - 2016 - A comparison of lead lengths for mini-fyke nets to sample age-0 gar species","interactions":[],"lastModifiedDate":"2018-05-11T13:55:31","indexId":"70196907","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of lead lengths for mini-fyke nets to sample age-0 gar species","docAbstract":"<p>Mini-fyke nets are often used to sample small-bodied fishes in shallow (&lt;1 m depth) water, especially in vegetated shoreline habitats where seines are ineffective. Recent interest in gar (Lepisosteidae) ecology and conservation led us to explore the use of mini-fyke nets to capture age-0 gar and specifically how capture is affected by lead length of the fyke net. In the summers of 2012, 2013, and 2015, mini-fyke nets with two different lead lengths (4.57 m and 9.14 m) were set at random sites in backwaters and coves of the Red River arm of Lake Texoma, Oklahoma. Mean CPUE (catch-per-unit-effort; number per net night) was significantly lower for mini-fyke nets with short leads (0.52) compared to those with long leads (1.51). Additionally, Spotted Gar (<span id=\"_mce_caret\" data-mce-bogus=\"true\"><i>Lepisosteus oculatus</i><span id=\"_mce_caret\" data-mce-bogus=\"true\">) were captured at a higher rate than the other three gar species present in Lake Texoma, although this could have been an artifact of sampling location. We found that differences in length-frequency of captured gar between gear types were nearly significant, with total length ranging from 47mm to 590mm. Mini-fyke nets with longer leads increased the efficiency of sampling for age-0 gar by increasing catch rate without affecting estimates of other population parameters and appear to be useful for this purpose.</span></span>&nbsp;</p>","language":"English","publisher":"Oklahoma Academy of Science","usgsCitation":"Long, J.M., Snow, R.A., and Patterson, C.P., 2016, A comparison of lead lengths for mini-fyke nets to sample age-0 gar species: Proceedings of the Oklahoma Academy of Science, v. 96, p. 28-35.","productDescription":"14 p.","startPage":"28","endPage":"35","ipdsId":"IP-073137","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354028,"type":{"id":15,"text":"Index Page"},"url":"https://www.ojs.library.okstate.edu/osu/index.php/OAS/article/download/7198/6631"}],"volume":"96","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee923e4b0da30c1bfc52b","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":735098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Chas P.","contributorId":204825,"corporation":false,"usgs":false,"family":"Patterson","given":"Chas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735099,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179021,"text":"sir20165171 - 2016 - Hydrogeologic framework and characterization of the Truxton Aquifer on the Hualapai Reservation, Mohave County, Arizona","interactions":[],"lastModifiedDate":"2020-04-07T16:45:31.293325","indexId":"sir20165171","displayToPublicDate":"2016-12-30T20:00:00","publicationYear":"2016","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":"2016-5171","title":"Hydrogeologic framework and characterization of the Truxton Aquifer on the Hualapai Reservation, Mohave County, Arizona","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, developed this study to determine an estimate of groundwater in storage in the Truxton aquifer on the Hualapai Reservation in northwestern Arizona. For this study, the Truxton aquifer is defined as the unconfined, saturated groundwater in the unconsolidated to semiconsolidated older and younger basin-fill deposits of the Truxton basin overlying bedrock. The physical characteristics of the Truxton aquifer have not been well characterized in the past. In particular, the depth to impermeable granite bedrock and thickness of the basin are known in only a few locations where water wells have penetrated into the granite. Increasing water demands on the Truxton aquifer by both tribal and nontribal water users have led to concern about the long-term sustainability of this water resource. The Hualapai Tribe currently projects an increase of their water needs from about 300 acre-feet (acre-ft) per year to about 780 acre-ft per year by 2050 to support the community of Peach Springs, Arizona, and the southern part of the reservation. This study aimed to quantitatively develop better knowledge of aquifer characteristics, including aquifer storage and capacity, using (1) surface resistivity data collected along transects and (2) analysis of existing geologic, borehole, precipitation, water use, and water-level data.</p><p>The surface resistivity surveys indicated that the depth to granite along the survey lines varied from less than 100 feet (ft) to more than 1,300 ft below land surface on the Hualapai Reservation. The top of the granite bedrock is consistent with the erosional character of the Truxton basin and exhibits deep paleochannels filled with basin-fill deposits consistent with the results of surface resistivity surveys and borehole logs from wells. The estimated average saturated thickness of the Truxton aquifer on the Hualapai Reservation is about 330 ft (with an estimated range of 260 to 390 ft), based on both resistivity results and the depth to water in wells. The saturated thickness might be greater in parts of the Truxton aquifer where paleochannels are incised into the granite underlying the basin-fill sediments. The estimated groundwater storage of the Truxton aquifer on the Hualapai Reservation ranges from 420,000 to 940,000 acre-ft and does not include groundwater storage in the aquifer outside the Hualapai Reservation boundary. In addition, the calculation of total storage in the Truxton aquifer does not determine nor indicate the availability and sustainability of that groundwater as a long-term resource. These results compared well with studies done on alluvial-basin aquifers in areas adjacent to this study. The part of the Truxton aquifer on the Hualapai Reservation represents about 20 percent of the entire aquifer. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165171","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Bills, D.J., and Macy, J.P., 2016, Hydrologic framework and characterization of the Truxton aquifer on the Hualapai Reservation, Mohave County, Arizona (ver. 2.0, December 2017): U.S. Geological Survey Scientific Investigations Report 2016–5171, 50 p., https://doi.org/10.3133/sir20165171.","productDescription":"vi, 50 p.","numberOfPages":"57","onlineOnly":"Y","ipdsId":"IP-074915","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":373792,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205017","text":"Scientific Investigations Report 2020-5017","linkHelpText":" - Geophysical Surveys, Hydrogeologic Characterization, and Groundwater Flow Model for the Truxton Basin and Hualapai Plateau, Northwestern Arizona"},{"id":373791,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205025","text":"Scientific Investigations Report 2020-5025","linkHelpText":" - Hydrogeologic Characterization of the Hualapai Plateau on the Western Hualapai Indian Reservation, Northwestern Arizona"},{"id":332711,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5171/coverthb_.jpg"},{"id":332712,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5171/sir20165171v2.pdf","text":"Report","size":"7.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5171 Report PDF"},{"id":349915,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5171/versionHist.txt","text":"Version History","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5171 Version History"}],"country":"United States","state":"Arizona","county":"Mojave County","otherGeospatial":"Hualapai Reservation, Truxton Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.994384765625,\n              35.55457449014312\n            ],\n            [\n              -112.994384765625,\n              36.05798104702501\n            ],\n            [\n              -112.2308349609375,\n              36.05798104702501\n            ],\n            [\n              -112.2308349609375,\n              35.55457449014312\n            ],\n            [\n              -112.994384765625,\n              35.55457449014312\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted December 30, 2016; Version 2.0: December 14, 2017","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>, <br><a href=\"https://az.water.usgs.gov/\" data-mce-href=\"https://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendix—Well Data for the Truxton Aquifer on the Hualapai Reservation and Adjacent Areas </li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-12-30","revisedDate":"2017-12-14","noUsgsAuthors":false,"publicationDate":"2016-12-30","publicationStatus":"PW","scienceBaseUri":"586781f3e4b0cd2dabe7c70f","contributors":{"authors":[{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655787,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179488,"text":"70179488 - 2016 - Applying downscaled Global Climate Model data to a groundwater model of the Suwannee River Basin, Florida, USA","interactions":[],"lastModifiedDate":"2017-02-08T14:32:46","indexId":"70179488","displayToPublicDate":"2016-12-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":725,"text":"American Journal of Climate Change","active":true,"publicationSubtype":{"id":10}},"title":"Applying downscaled Global Climate Model data to a groundwater model of the Suwannee River Basin, Florida, USA","docAbstract":"The application of Global Climate Model (GCM) output to a hydrologic model allows for comparisons between simulated recent and future conditions and provides insight into the dynamics of hydrology as it may be affected by climate change. A previously developed numerical model of the Suwannee River Basin, Florida, USA, was modified and calibrated to represent transient conditions. A simulation of recent conditions was developed for the 372-month period 1970-2000 and was compared with a simulation of future conditions for a similar-length period 2039-2069, which uses downscaled GCM data. The MODFLOW groundwater-simulation code was used in both of these simulations, and two different MODFLOW boundary condition “packages” (River and Streamflow-Routing Packages) were used to represent interactions between surface-water and groundwater features.\nThe hydrologic fluxes between the atmosphere and landscape for the simulation of future conditions were developed from dynamically downscaled precipitation and evapotranspiration (ET) data generated by the Community Climate System Model (CCSM). The downscaled precipitation data were interpolated for the Suwannee River model grid, and the downscaled ET data were used to develop potential ET and were interpolated to the grid. The fu¬ture period has higher simulated rainfall (10.8 percent) and ET (4.5 percent) than the recent period.\nThe higher future rainfall causes simulated groundwater levels to rise in areas where they are deep and have little ET in either the recent or future case. However, in areas where groundwater levels were originally near the surface, the greater future ET causes groundwater levels to become lower despite the higher projected rainfall. The general implication is that unsaturated zone depth could be more spatially uniform in the future and vegetation that requires a range of conditions (substantially wetter or drier than aver¬age) could be detrimentally affected. This vegetation would include wetland species, especially in areas inland from the coast.","language":"English","publisher":"Scientific Research Publishing","doi":"10.4236/ajcc.2016.54037","usgsCitation":"Swain, E.D., and Davis, J., 2016, Applying downscaled Global Climate Model data to a groundwater model of the Suwannee River Basin, Florida, USA: American Journal of Climate Change, v. 5, p. 526-557, https://doi.org/10.4236/ajcc.2016.54037.","productDescription":"32 p.","startPage":"526","endPage":"557","ipdsId":"IP-060930","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":470307,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ajcc.2016.54037","text":"Publisher Index Page"},{"id":332908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335050,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7CV4FVR","text":"MODFLOW datasets for simulations of groundwater flow with downscaled global climate model data for the Suwannee River Basin, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.276123046875,\n              29.046565622728846\n            ],\n            [\n              -84.276123046875,\n              30.642638258763263\n            ],\n            [\n              -82.73803710937499,\n              30.642638258763263\n            ],\n            [\n              -82.73803710937499,\n              29.046565622728846\n            ],\n            [\n              -84.276123046875,\n              29.046565622728846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e1820e4b0f5ce109fcad9","contributors":{"authors":[{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":657443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, J. Hal","contributorId":53832,"corporation":false,"usgs":true,"family":"Davis","given":"J. Hal","affiliations":[],"preferred":false,"id":657444,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179473,"text":"70179473 - 2016 - Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model","interactions":[],"lastModifiedDate":"2017-01-17T19:02:29","indexId":"70179473","displayToPublicDate":"2016-12-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model","docAbstract":"<p><span>Elevation data derived from light detection and ranging present challenges for hydrologic modeling as the elevation surface includes bridge decks and elevated road features overlaying culvert drainage structures. In reality, water is carried through these structures; however, in the elevation surface these features impede modeled overland surface flow. Thus, a hydrologically-enforced elevation surface is needed for hydrodynamic modeling. In the Delaware River Basin, hydrologic-enforcement techniques were used to modify elevations to simulate how constructed drainage structures allow overland surface flow. By calculating residuals between unfilled and filled elevation surfaces, artificially pooled depressions that formed upstream of constructed drainage structure features were defined, and elevation values were adjusted by generating transects at the location of the drainage structures. An assessment of each hydrologically-enforced drainage structure was conducted using field-surveyed culvert and bridge coordinates obtained from numerous public agencies, but it was discovered the disparate drainage structure datasets were not comprehensive enough to assess all remotely located depressions in need of hydrologic-enforcement. Alternatively, orthoimagery was interpreted to define drainage structures near each depression, and these locations were used as reference points for a quantitative hydrologic-enforcement assessment. The orthoimagery-interpreted reference points resulted in a larger corresponding sample size than the assessment between hydrologic-enforced transects and field-surveyed data. This assessment demonstrates the viability of rules-based hydrologic-enforcement that is needed to achieve hydrologic connectivity, which is valuable for hydrodynamic models in sensitive coastal regions. Hydrologic-enforced elevation data are also essential for merging with topographic/bathymetric elevation data that extend over vulnerable urbanized areas and dynamic coastal regions.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI76-009","usgsCitation":"Poppenga, S.K., and Worstell, B.B., 2016, Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model: Journal of Coastal Research, v. Special Issue 76, p. 90-106, https://doi.org/10.2112/SI76-009.","productDescription":"17 p.","startPage":"90","endPage":"106","ipdsId":"IP-059049","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470306,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.2112/SI76-009","text":"External Repository"},{"id":332787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Special Issue 76","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586cc690e4b0f5ce109fa943","contributors":{"authors":[{"text":"Poppenga, Sandra K. 0000-0002-2846-6836 spoppenga@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":3327,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"spoppenga@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":657389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":657390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179489,"text":"70179489 - 2016 - Topobathymetric elevation model development using a new methodology: Coastal National Elevation Database","interactions":[],"lastModifiedDate":"2017-01-17T19:02:11","indexId":"70179489","displayToPublicDate":"2016-12-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Topobathymetric elevation model development using a new methodology: Coastal National Elevation Database","docAbstract":"During the coming decades, coastlines will respond to widely predicted sea-level rise, storm surge, and coastalinundation flooding from disastrous events. Because physical processes in coastal environments are controlled by the geomorphology of over-the-land topography and underwater bathymetry, many applications of geospatial data in coastal environments require detailed knowledge of the near-shore topography and bathymetry. In this paper, an updated methodology used by the U.S. Geological Survey Coastal National Elevation Database (CoNED) Applications Project is presented for developing coastal topobathymetric elevation models (TBDEMs) from multiple topographic data sources with adjacent intertidal topobathymetric and offshore bathymetric sources to generate\r\nseamlessly integrated TBDEMs. This repeatable, updatable, and logically consistent methodology assimilates topographic data (land elevation) and bathymetry (water depth) into a seamless coastal elevation model. Within the overarching framework, vertical datum transformations are standardized in a workflow that interweaves spatially consistent interpolation (gridding) techniques with a land/water boundary mask delineation approach. Output gridded raster TBDEMs are stacked into a file storage system of mosaic datasets within an Esri ArcGIS geodatabase for\r\nefficient updating while maintaining current and updated spatially referenced metadata. Topobathymetric data provide a required seamless elevation product for several science application studies, such as shoreline delineation, coastal inundation mapping, sediment-transport, sea-level rise, storm surge models, and tsunami impact assessment. These detailed coastal elevation data are critical to depict regions prone to climate change impacts and are essential to planners and managers responsible for mitigating the associated risks and costs to both human communities and ecosystems. The CoNED methodology approach has been used to construct integrated TBDEM models in Mobile Bay, the northern Gulf of Mexico, San Francisco Bay, the Hurricane Sandy region, and southern California.","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI76-008","usgsCitation":"Danielson, J.J., Poppenga, S.K., Brock, J., Evans, G.A., Tyler, D.J., Gesch, D.B., Thatcher, C.A., and Barras, J., 2016, Topobathymetric elevation model development using a new methodology: Coastal National Elevation Database: Journal of Coastal Research, v. Special Issue 76, p. 75-89, https://doi.org/10.2112/SI76-008.","productDescription":"15 p.","startPage":"75","endPage":"89","ipdsId":"IP-067362","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470304,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.2112/SI76-008","text":"External Repository"},{"id":438478,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N4WLC8","text":"USGS data release","linkHelpText":"Southeast Texas Pilot National Topography Model (NTM), 1933 to 2021"},{"id":438477,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R8UZU6","text":"USGS data release","linkHelpText":"Topobathymetric Model of Puʻuhonua o Hōnaunau National Historical Park, 2011 to 2019"},{"id":438476,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J11VV6","text":"USGS data release","linkHelpText":"Topobathymetric Model of the Coastal Georgia, 1851 to 2020"},{"id":438475,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MPA8K0","text":"USGS data release","linkHelpText":"Topobathymetric Model of the Coastal Carolinas, 1851 to 2020"},{"id":438474,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q3VAY8","text":"USGS data release","linkHelpText":"Pilot Topobathymetric Terrain Model of the Kootenai River near Bonners Ferry, Idaho, 2009 - 2019"},{"id":438473,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KZ3LCV","text":"USGS data release","linkHelpText":"Topobathymetric Model of Northern California, 1986 to 2019"},{"id":438472,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GB3PC8","text":"USGS data release","linkHelpText":"Topobathymetric Model of the Strait of Juan de Fuca, 1891 to 2016"},{"id":438471,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UZIYI8","text":"USGS data release","linkHelpText":"Topobathymetric Model for the Southern Coast of California and the Channel Islands, 1930 to 2014"},{"id":438470,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7736Q34","text":"USGS data release","linkHelpText":"Topobathymetric Model for the Central Coast of California, 1929 to 2017"},{"id":332803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Special Issue 76","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586cc68fe4b0f5ce109fa941","contributors":{"authors":[{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":657445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppenga, Sandra K. 0000-0002-2846-6836 spoppenga@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":3327,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"spoppenga@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":657447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":657446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Gayla A. 0000-0001-5072-4232 gevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-4232","contributorId":3125,"corporation":false,"usgs":true,"family":"Evans","given":"Gayla","email":"gevans@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":657448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyler, Dean J. 0000-0002-1542-7539 dtyler@usgs.gov","orcid":"https://orcid.org/0000-0002-1542-7539","contributorId":177897,"corporation":false,"usgs":true,"family":"Tyler","given":"Dean","email":"dtyler@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":657449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":657450,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":657451,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barras, John 0000-0002-4207-2972 jbarras@usgs.gov","orcid":"https://orcid.org/0000-0002-4207-2972","contributorId":177812,"corporation":false,"usgs":true,"family":"Barras","given":"John","email":"jbarras@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":657452,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178526,"text":"sir20165165 - 2016 - Status of groundwater levels and storage volume in the <i>Equus</i> Beds aquifer near Wichita, Kansas, January 2016","interactions":[],"lastModifiedDate":"2016-12-29T15:56:52","indexId":"sir20165165","displayToPublicDate":"2016-12-29T12:00:00","publicationYear":"2016","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":"2016-5165","title":"Status of groundwater levels and storage volume in the <i>Equus</i> Beds aquifer near Wichita, Kansas, January 2016","docAbstract":"<p>The <i>Equus</i> Beds aquifer in south-central Kansas, which is part of the High Plains aquifer, serves as a source of water for municipal and agricultural users in the area. The city of Wichita has used the <i>Equus</i> Beds aquifer as one of its primary water sources since the 1940s. The aquifer in and around Wichita’s well field reached historically low water levels in 1993, prompting the city to adopt new water-use and conservation strategies to ensure future water supply needs were met. Part of the plan was to initiate a managed aquifer recharge program called the <i>Equus</i> Beds Aquifer Storage and Recovery project. The goal of the managed aquifer recharge program is to artificially recharge the <i>Equus</i> Beds aquifer with treated water from the Little Arkansas River. As part of the <i>Equus</i> Beds Aquifer Storage and Recovery project, the city of Wichita and the U.S. Geological Survey have partnered in a long-term cooperative study to monitor and describe the quantity and quality of the water in the <i>Equus</i> Beds aquifer and the Little Arkansas River.</p><p>The city of Wichita, the <i>Equus</i> Beds Groundwater Management District No. 2, the Kansas Department of Agriculture–Division of Water Resources, and the U.S. Geological Survey collected groundwater levels in numerous wells screened in the <i>Equus</i> Beds aquifer in the area in and around Wichita’s well field in January 2016. The measurements were used to interpolate potentiometric surfaces for shallow and deep parts of the aquifer in the study area. These potentiometric surfaces were compared with potentiometric surfaces from previous years to estimate changes in water levels and storage volume in the study area.</p><p>Groundwater levels were generally higher in January 2016 than they were in January 2015. On average, in January 2016, groundwater levels in the shallow part of the aquifer were about 3.4 feet higher and groundwater levels in the deep part of the aquifer were about 3.8 feet higher than in January 2015. The volume of water stored in the study area decreased by about 74,000 acre-feet between predevelopment (the time period before substantial pumpage began in the 1940s) and January 2016; increased by about 121,000 acre-feet between the historic low in 1993 and January 2016; and increased by about 61,000 acre-feet between January 2015 and January 2016. About 62 percent of the storage volume lost between predevelopment and 1993 has been recovered. The increase in storage volume from January 2015 to January 2016 can probably be attributed to less pumping by the city of Wichita and irrigators, more recharge due to higher-than-average precipitation, and higher volumes of artificial recharge in 2015.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165165","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Klager, B.J., 2016, Status of groundwater levels and storage volume in the <i>Equus</i> Beds aquifer near Wichita, Kansas, January 2016: U.S. Geological Survey Scientific Investigations Report 2016–5165, 15 p., https://doi.org/10.3133/sir20165165.","productDescription":"vi, 15 p.","onlineOnly":"Y","ipdsId":"IP-078976","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":438479,"rank":4,"type":{"id":30,"text":"Data 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bklager@usgs.gov","orcid":"https://orcid.org/0000-0001-8361-6043","contributorId":5543,"corporation":false,"usgs":true,"family":"Klager","given":"Brian","email":"bklager@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":654234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179338,"text":"70179338 - 2016 - Discussion of “The relation between dilatancy, effective stress and dispersive pressure in granular avalanches” by P. Bartelt and O. Buser (DOI: 10.1007/s11440-016-0463-7)","interactions":[],"lastModifiedDate":"2016-12-29T11:24:38","indexId":"70179338","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5247,"text":"Acta Geotechnica","onlineIssn":"1861-1133","printIssn":"1861-1125","active":true,"publicationSubtype":{"id":10}},"title":"Discussion of “The relation between dilatancy, effective stress and dispersive pressure in granular avalanches” by P. Bartelt and O. Buser (DOI: 10.1007/s11440-016-0463-7)","docAbstract":"<p><span>A paper recently published by Bartelt and Buser (hereafter identified as “the authors”) aims to clarify relationships between granular dilatancy and dispersive pressure and to question the effective stress principle and its application to shallow granular avalanches (Bartelt and Buser in Act Geotech 11:549–557, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"http://link.springer.com/article/10.1007%2Fs11440-016-0502-4#CR2\" data-mce-href=\"http://link.springer.com/article/10.1007%2Fs11440-016-0502-4#CR2\">2</a></span><span>). The paper also criticizes our own recent work, which utilizes the concepts of evolving dilatancy and effective stress to model the initiation and dynamics of water-saturated landslides and debris flows. Here we first explain why we largely agree with the authors’ views of dilatancy and dispersive pressure as they apply to depth-integrated granular avalanche models, and why we disagree with their views of effective stress and pore-fluid pressure. We conclude by explaining why the authors’ characterization of our recently developed D-Claw model is inaccurate.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s11440-016-0502-4","usgsCitation":"Iverson, R.M., and George, D.L., 2016, Discussion of “The relation between dilatancy, effective stress and dispersive pressure in granular avalanches” by P. Bartelt and O. Buser (DOI: 10.1007/s11440-016-0463-7): Acta Geotechnica, v. 11, no. 6, p. 1465-1468, https://doi.org/10.1007/s11440-016-0502-4.","productDescription":"4 p.","startPage":"1465","endPage":"1468","ipdsId":"IP-077983","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":332624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-17","publicationStatus":"PW","scienceBaseUri":"58662f10e4b0cd2dabe7c4a9","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":656851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":656852,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179348,"text":"70179348 - 2016 - Modelling landslide liquefaction, mobility bifurcation and the dynamics of the 2014 Oso disaster","interactions":[],"lastModifiedDate":"2016-12-29T12:24:19","indexId":"70179348","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1825,"text":"Geotechnique","active":true,"publicationSubtype":{"id":10}},"title":"Modelling landslide liquefaction, mobility bifurcation and the dynamics of the 2014 Oso disaster","docAbstract":"<p><span>Some landslides move slowly or intermittently downslope, but others liquefy during the early stages of motion, leading to runaway acceleration and high-speed runout across low-relief terrain. Mechanisms responsible for this disparate behaviour are represented in a two-phase, depth-integrated, landslide dynamics model that melds principles from soil mechanics, granular mechanics and fluid mechanics. The model assumes that gradually increasing pore-water pressure causes slope failure to nucleate at the weakest point on a basal slip surface in a statically balanced mass. Failure then spreads to adjacent regions as a result of momentum exchange. Liquefaction is contingent on pore-pressure feedback that depends on the initial soil state. The importance of this feedback is illustrated by using the model to study the dynamics of a disastrous landslide that occurred near Oso, Washington, USA, on 22 March 2014. Alternative simulations of the event reveal the pronounced effects of a landslide mobility bifurcation that occurs if the initial void ratio of water-saturated soil equals the lithostatic, critical-state void ratio. They also show that the tendency for bifurcation increases as the soil permeability decreases. The bifurcation implies that it can be difficult to discriminate conditions that favour slow landsliding from those that favour liquefaction and long runout.</span></p>","language":"English","publisher":"Institution of Civil Engineers","publisherLocation":"London","doi":"10.1680/jgeot.15.LM.004","usgsCitation":"Iverson, R.M., and George, D.L., 2016, Modelling landslide liquefaction, mobility bifurcation and the dynamics of the 2014 Oso disaster: Geotechnique, v. 66, no. 3, p. 175-187, https://doi.org/10.1680/jgeot.15.LM.004.","productDescription":"13 p.","startPage":"175","endPage":"187","ipdsId":"IP-063350","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":332634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Oso","volume":"66","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f0ee4b0cd2dabe7c4a5","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":656872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":656873,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179205,"text":"pp1827 - 2016 - The Outer Banks of North Carolina","interactions":[],"lastModifiedDate":"2018-03-15T10:24:51","indexId":"pp1827","displayToPublicDate":"2016-12-27T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1827","title":"The Outer Banks of North Carolina","docAbstract":"<p>The Outer Banks of North Carolina are excellent examples of the nearly 300 barrier islands rimming the Atlantic and Gulf coasts of the United States. These low, sandy islands are among the most dynamic natural landscapes occupied by man. Beach sands move offshore, onshore, and along the shore in the direction of the prevailing longshore currents. In this way, sandy coasts continuously adjust to different tide, wave, and current conditions and to rising sea level that causes the islands to migrate landward.</p><p>Despite such changes, barrier islands are of considerable environmental importance. The Outer Banks are home to diverse natural ecosystems that are adapted to the harsh coastal environment. Native species tend to be robust and many are specifically adapted to withstand salt spray, periodic saltwater flooding, and the islands’ well-drained sandy soil. The Outer Banks provide an important stopover for birds on the Atlantic flyway, and many species inhabit the islands year round. In addition, Outer Banks beaches provide an important nesting habitat for five endangered or threatened sea turtle species.</p><p>European explorers discovered North Carolina’s barrier islands in the 16th century, although the islands were not permanently settled until the middle 17th century. By the early 19th century, shipbuilding and lumber industries were among the most successful, until forest resources were depleted. Commercial fishing eventually followed, and it expanded considerably after the Civil War. By the Great Depression, however, little industry existed on the Outer Banks. In response to the effects of a severe hurricane in 1933, the National Park Service and the Civilian Conservation Corps proposed a massive sand-fixation program to stabilize the moving sand and prevent storm waves from sweeping across the entire width of some sections of the islands. Between 1933 and 1940, this program constructed sand fencing on 185 kilometers (115 miles) of beach and planted grass seedlings, trees, and shrubs.</p><p>In 1937, Congress authorized the Cape Hatteras National Seashore, which was established in 1953. The national seashore preserved one of the world’s best examples of a barrier island environment, and minimized the effect of erosion that was becoming a serious problem. In 1966, Congress authorized the Cape Lookout National Seashore to ensure that Core and Shackleford Banks would not undergo major development and could be preserved in their natural state.</p><p>The rate of population growth along the Outer Banks in recent decades has been among the highest in North Carolina. More important, however, has been the growth in vacationers—in 2008, more than a quarter of a million visitors during a typical week. Municipalities now need to provide services to a transient population as much as six times as large as their permanent resident population.</p><p>Although human activities have dominated the landscape changes observed on the Outer Banks for the past century or two, these changes must be understood in the context of the prevailing atmospheric, oceanic, and geologic processes that have governed the form and function of these islands for thousands of years. It is these natural processes that imbue the Outer Banks with their unique and dichotomous qualities of tranquility and tumult. In the presence of human occupation, it is these same processes that make the islands one of the highest natural-hazard risk zones along the Eastern Seaboard of the United States. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1827","isbn":"978-1-4113-4097-8","usgsCitation":"Dolan, R., Lins, H.F., and Smith, J.J., 2016, The Outer Banks of North Carolina: U.S. Geological Survey Professional Paper 1827, 153 p., https://doi.org/10.3133/pp1827","productDescription":"Report: xiii, 153 p.; Poster: 28 x 40 inches","onlineOnly":"N","ipdsId":"IP-023871","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":332434,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1827/pp1827.pdf","text":"Report","size":"53.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1827"},{"id":332435,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/pp/pp1827/pp1827_poster.pdf","text":"Poster","size":"5.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1827 Poster"},{"id":332433,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/pp1827/coverthb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Outer Banks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.7122802734375,\n              36.59347887826919\n            ],\n            [\n              -75.6298828125,\n              36.53170884914869\n            ],\n            [\n              -75.43212890625,\n              36.213255233061844\n            ],\n            [\n              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Forces Shaping the Outer Banks</li><li>Geological History of Barrier Island Formation</li><li>Beach Configuration and Beach Erosion</li><li>Barrier Island Life</li><li><em><strong>Part II: Human History and Modern Development of the Outer Banks</strong></em></li><li>History</li><li>Engineering the Outer Banks</li><li>Land Management Considerations</li><li>Opportunities for Future Research</li><li>References</li><li>Glossary</li><li>Additional Photograph Credits</li></ul>","publishedDate":"2016-12-27","noUsgsAuthors":false,"publicationDate":"2016-12-27","publicationStatus":"PW","scienceBaseUri":"58638bd0e4b0cd2dabe7bea2","contributors":{"authors":[{"text":"Dolan, Robert","contributorId":16405,"corporation":false,"usgs":true,"family":"Dolan","given":"Robert","email":"","affiliations":[],"preferred":false,"id":656386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":656387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jodi Jones","contributorId":177614,"corporation":false,"usgs":false,"family":"Smith","given":"Jodi","email":"","middleInitial":"Jones","affiliations":[],"preferred":false,"id":656388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}