{"pageNumber":"994","pageRowStart":"24825","pageSize":"25","recordCount":184914,"records":[{"id":70187992,"text":"70187992 - 2017 - Deleterious effects of net clogging on the quantification of stream drift","interactions":[],"lastModifiedDate":"2017-06-27T13:18:18","indexId":"70187992","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deleterious effects of net clogging on the quantification of stream drift","docAbstract":"<p><span>Drift studies are central to stream and river ecological research. However, a fundamental aspect of quantifying drift — how net clogging affects the accuracy of results — has been widely ignored. Utilizing approaches from plankton and suspended sediment studies in oceanography and hydrology, we examined the rate and dynamics of net clogging across a range of conditions. We found that nets clog nonlinearly over time and that suspended solid concentrations and net mesh size exerted a strong effect on clogging rates. Critically, net clogging introduced unpredictable biases in resultant data due to the inaccuracies in water volume estimates introduced by progressive clogging. This renders the widespread approach to linearly “correct” for clogging inadequate. Using a meta-analysis of 77 drift studies spanning 25 years, we demonstrate that the detrimental effects of net clogging are routinely unappreciated, even though the results of most of these studies were likely affected by clogging. We close by describing an approach for avoiding net clogging, which will increase the accuracy and reproducibility of results in future freshwater, lotic drift studies.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0365","usgsCitation":"Muehlbauer, J.D., Kennedy, T., Copp, A.J., and Sabol, T.A., 2017, Deleterious effects of net clogging on the quantification of stream drift: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 7, p. 1041-1048, https://doi.org/10.1139/cjfas-2016-0365.","productDescription":"8 p.","startPage":"1041","endPage":"1048","ipdsId":"IP-078467","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469823,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0365","text":"External Repository"},{"id":438329,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71J97WD","text":"USGS data release","linkHelpText":"Stream Drift Sampling in Arizona, 2014Data"},{"id":341792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076de","contributors":{"authors":[{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copp, Adam J. 0000-0001-7385-0055 acopp@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-0055","contributorId":5194,"corporation":false,"usgs":true,"family":"Copp","given":"Adam","email":"acopp@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187974,"text":"70187974 - 2017 - Formation of Fe-Mn crusts within a continental margin environment","interactions":[],"lastModifiedDate":"2017-05-26T11:18:24","indexId":"70187974","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Formation of Fe-Mn crusts within a continental margin environment","docAbstract":"<p id=\"sp0070\">This study examines Fe-Mn crusts that form on seamounts along the California continental-margin (CCM), within the United States 200 nautical mile exclusive economic zone. The study area extends from approximately 30° to 38° North latitudes and from 117° to 126° West longitudes. The area of study is a tectonically active northeast Pacific plate boundary region and is also part of the North Pacific Subtropical Gyre with currents dominated by the California Current System. Upwelling of nutrient-rich water results in high primary productivity that produces a pronounced oxygen minimum zone. Hydrogenetic Fe-Mn crusts forming along the CCM show distinct chemical and mineral compositions compared to open-ocean crusts. On average, CCM crusts contain more Fe relative to Mn than open-ocean Pacific crusts. The continental shelf and slope release both Fe and Mn under low-oxygen conditions. Silica is also enriched relative to Al compared to open-ocean crusts. This is due to the North Pacific silica plume and enrichment of Si along the path of deep-water circulation, resulting in Si enrichment in bottom and intermediate waters of the eastern Pacific.</p><p id=\"sp0075\">The CCM Fe-Mn crusts have a higher percentage of birnessite than open-ocean crusts, reflecting lower dissolved seawater oxygen that results from the intense coastal upwelling and proximity to zones of continental slope pore-water anoxia. Carbonate fluorapatite (CFA) is not present and CCM crusts do not show evidence of phosphatization, even in the older sections. The mineralogy indicates a suboxic environment under which birnessite forms, but in which pH is not high enough to facilitate CFA deposition. Growth rates of CCM crusts generally increase with increasing water depth, likely due to deep-water Fe sources mobilized from reduced shelf and slope sediments.</p><p id=\"sp0080\">Many elements of economic interest including Mn, Co, Ni, Cu, W, and Te have slightly or significantly lower concentrations in CCM crusts relative to crusts from the Pacific Prime Crust Zone and other open-ocean basins. However, concentrations of total rare earth elements and yttrium average only slightly lower contents and in the future may be a strategic resource for the U.S.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.09.010","collaboration":"James R. Hein;","usgsCitation":"Conrad, T.A., Hein, J., Paytan, A., and Clague, D.A., 2017, Formation of Fe-Mn crusts within a continental margin environment: Ore Geology Reviews, v. 87, p. 25-40, https://doi.org/10.1016/j.oregeorev.2016.09.010.","productDescription":"16 p.","startPage":"25","endPage":"40","ipdsId":"IP-074776","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126,\n              30\n            ],\n            [\n              -117,\n              30\n            ],\n            [\n              -117,\n              38\n            ],\n            [\n              -126,\n              38\n            ],\n            [\n              -126,\n              30\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"87","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e94e4b016f7a94076f6","contributors":{"authors":[{"text":"Conrad, Tracey A. 0000-0002-2648-5451","orcid":"https://orcid.org/0000-0002-2648-5451","contributorId":192284,"corporation":false,"usgs":false,"family":"Conrad","given":"Tracey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. jhein@usgs.gov","contributorId":140283,"corporation":false,"usgs":true,"family":"Hein","given":"James R.","email":"jhein@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paytan, Adina","contributorId":75242,"corporation":false,"usgs":true,"family":"Paytan","given":"Adina","affiliations":[],"preferred":false,"id":696132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clague, David A.","contributorId":77105,"corporation":false,"usgs":false,"family":"Clague","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187999,"text":"70187999 - 2017 - Trends in Rainbow Trout recruitment, abundance, survival, and growth during a boom-and-bust cycle in a tailwater fishery","interactions":[],"lastModifiedDate":"2017-08-03T08:31:55","indexId":"70187999","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Trends in Rainbow Trout recruitment, abundance, survival, and growth during a boom-and-bust cycle in a tailwater fishery","docAbstract":"Data from a large-scale mark-recapture study was used in an open population model to determine the cause for long-term trends in growth and abundance of a Rainbow Trout Oncorhynchus mykiss population in the tailwater of Glen Canyon Dam, AZ. Reduced growth affected multiple life stages and processes causing negative feedbacks that regulated the abundance of the population, including: higher mortality of larger fish; lower rates of recruitment (young of year) in years when growth was reduced; and lower rates of sexual maturation the following year. High and steady flows during spring and summer of 2011 resulted in very large recruitment event. The population declined 10-fold by 2016 due a combination of lower recruitment and reduced survival of larger trout. Survival rates for trout ≥ 225 mm in 2014, 2015, and 2016 were 11%, 21%, and 22% lower than average survival rates between 2012 and 2013, respectively. Abundance at the end of the study would have been three- to five-fold higher had survival rates for larger trout remained at the elevated levels estimated for 2012 and 2013. Growth declined between 2012 and 2014 owing to reduced prey availability, which led to very poor fish condition by fall of 2014 (~0.9-0.95). Poor condition in turn resulted in low survival rates of larger fish during fall of 2014 and winter of 2015, which contributed to the population collapse. In Glen Canyon, large recruitment events driven by high flows can lead to increases in the population that cannot be sustained due to limitations in prey supply. In the absence of being able to regulate prey supply, flows which reduce the probability of large recruitment events can be used to avoid boom-and-bust population cycles. Our study demonstrates that mark-recapture is a very informative approach for understanding the dynamics of tailwater trout populations.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1317663","usgsCitation":"Korman, J., Yard, M.D., and Kennedy, T., 2017, Trends in Rainbow Trout recruitment, abundance, survival, and growth during a boom-and-bust cycle in a tailwater fishery: Transactions of the American Fisheries Society, v. 146, no. 5, p. 1043-1057, https://doi.org/10.1080/00028487.2017.1317663.","productDescription":"15 p.","startPage":"1043","endPage":"1057","ipdsId":"IP-084735","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469822,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Trends_in_Rainbow_Trout_Recruitment_Abundance_Survival_and_Growth_during_a_Boom-and-Bust_Cycle_in_a_Tailwater_Fishery/5270857","text":"External Repository"},{"id":341791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59293e90e4b016f7a94076d8","contributors":{"authors":[{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":696169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Micheal D. myard@usgs.gov","contributorId":147386,"corporation":false,"usgs":true,"family":"Yard","given":"Micheal","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187975,"text":"70187975 - 2017 - Declines in low-elevation subalpine tree populations outpace growth in high-elevation populations with warming","interactions":[],"lastModifiedDate":"2017-11-22T16:56:07","indexId":"70187975","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Declines in low-elevation subalpine tree populations outpace growth in high-elevation populations with warming","docAbstract":"<ol id=\"jec12750-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Species distribution shifts in response to climate change require that recruitment increase beyond current range boundaries. For trees with long life spans, the importance of climate-sensitive seedling establishment to the pace of range shifts has not been demonstrated quantitatively.</li><li>Using spatially explicit, stochastic population models combined with data from long-term forest surveys, we explored whether the climate-sensitivity of recruitment observed in climate manipulation experiments was sufficient to alter populations and elevation ranges of two widely distributed, high-elevation North American conifers.</li><li>Empirically observed, warming-driven declines in recruitment led to rapid modelled population declines at the low-elevation, ‘warm edge’ of subalpine forest and slow emergence of populations beyond the high-elevation, ‘cool edge’. Because population declines in the forest occurred much faster than population emergence in the alpine, we observed range contraction for both species. For Engelmann spruce, this contraction was permanent over the modelled time horizon, even in the presence of increased moisture. For limber pine, lower sensitivity to warming may facilitate persistence at low elevations – especially in the presence of increased moisture – and rapid establishment above tree line, and, ultimately, expansion into the alpine.</li><li><i>Synthesis</i>. Assuming 21st century warming and no additional moisture, population dynamics in high-elevation forests led to transient range contractions for limber pine and potentially permanent range contractions for Engelmann spruce. Thus, limitations to seedling recruitment with warming can constrain the pace of subalpine tree range shifts.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.12750","usgsCitation":"Conlisk, E., Castanha, C., Germino, M., Veblen, T.T., Smith, J.M., and Kueppers, L.M., 2017, Declines in low-elevation subalpine tree populations outpace growth in high-elevation populations with warming: Journal of Ecology, v. 105, no. 5, p. 1347-1357, https://doi.org/10.1111/1365-2745.12750.","productDescription":"11 p.","startPage":"1347","endPage":"1357","ipdsId":"IP-081225","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12750","text":"Publisher Index Page"},{"id":341797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-13","publicationStatus":"PW","scienceBaseUri":"59293e93e4b016f7a94076f1","contributors":{"authors":[{"text":"Conlisk, Erin","contributorId":149404,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":696135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castanha, Cristina","contributorId":177737,"corporation":false,"usgs":false,"family":"Castanha","given":"Cristina","email":"","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":696136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. mgermino@usgs.gov","contributorId":146934,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":696134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veblen, Thomas T.","contributorId":192285,"corporation":false,"usgs":false,"family":"Veblen","given":"Thomas","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":696137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Jeremy M.","contributorId":182002,"corporation":false,"usgs":false,"family":"Smith","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kueppers, Lara M.","contributorId":177736,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187976,"text":"70187976 - 2017 - Can beaches survive climate change?","interactions":[],"lastModifiedDate":"2017-05-26T11:08:13","indexId":"70187976","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Can beaches survive climate change?","docAbstract":"<p><span>Anthropogenic climate change is driving sea level rise, leading to numerous impacts on the coastal zone, such as increased coastal flooding, beach erosion, cliff failure, saltwater intrusion in aquifers, and groundwater inundation. Many beaches around the world are currently experiencing chronic erosion as a result of gradual, present-day rates of sea level rise (about 3&nbsp;mm/year) and human-driven restrictions in sand supply (e.g., harbor dredging and river damming). Accelerated sea level rise threatens to worsen coastal erosion and challenge the very existence of natural beaches throughout the world. Understanding and predicting the rates of sea level rise and coastal erosion depends on integrating data on natural systems with computer simulations. Although many computer modeling approaches are available to simulate shoreline change, few are capable of making reliable long-term predictions needed for full adaption or to enhance resilience. Recent advancements have allowed convincing decadal to centennial-scale predictions of shoreline evolution. For example, along 500&nbsp;km of the Southern California coast, a new model featuring data assimilation predicts that up to 67% of beaches may completely erode by 2100 without large-scale human interventions. In spite of recent advancements, coastal evolution models must continue to improve in their theoretical framework, quantification of accuracy and uncertainty, computational efficiency, predictive capability, and integration with observed data, in order to meet the scientific and engineering challenges produced by a changing climate.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017JF004308","usgsCitation":"Vitousek, S., Barnard, P., and Limber, P.W., 2017, Can beaches survive climate change?: Journal of Geophysical Research F: Earth Surface, v. 122, no. 4, p. 1060-1067, https://doi.org/10.1002/2017JF004308.","productDescription":"8 p.","startPage":"1060","endPage":"1067","ipdsId":"IP-086025","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jf004308","text":"Publisher Index Page"},{"id":341796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"59293e93e4b016f7a94076ed","contributors":{"authors":[{"text":"Vitousek, Sean","contributorId":11453,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":696141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696140,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187982,"text":"70187982 - 2017 - Land use history and population dynamics of free-standing figs in a maturing forest","interactions":[],"lastModifiedDate":"2017-05-26T11:05:42","indexId":"70187982","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Land use history and population dynamics of free-standing figs in a maturing forest","docAbstract":"<p><span>Figs (</span><i>Ficus</i><span> sp.) are often considered as keystone resources which strongly influence tropical forest ecosystems. We used long-term tree-census data to track the population dynamics of two abundant free-standing fig species, </span><i>Ficus insipida</i><span> and </span><i>F</i><span>. </span><i>yoponensis</i><span>, on Barro Colorado Island (BCI), a 15.6-km</span><sup>2</sup><span> island in Lake Gatún, Panama. Vegetation cover on BCI consists of a mosaic of old growth (&gt;400 years) and maturing (about 90–150 year old) secondary rainforest. Locations and conditions of fig trees have been mapped and monitored on BCI for more than 35 years (1973–2011), with a focus on the Lutz Catchment area (25 ha). The original distribution of the fig trees shortly after the construction of the Panama Canal was derived from an aerial photograph from 1927 and was compared with previous land use and forest status. The distribution of both fig species (~850 trees) is restricted to secondary forest. Of the original 119 trees observed in Lutz Catchment in 1973, &gt;70% of </span><i>F</i><span>. </span><i>insipida</i><span> and &gt;90% of </span><i>F</i><span>. </span><i>yoponensis</i><span> had died by 2011. Observations in other areas on BCI support the trend of declining free-standing figs. We interpret the decline of these figs on BCI as a natural process within a maturing tropical lowland forest. Senescence of the fig trees appears to have been accelerated by severe droughts such as the strong El Niño event in the year 1982/83. Because figs form such an important food resource for frugivores, this shift in resource availability is likely to have cascading effects on frugivore populations.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0177060","usgsCitation":"Albrecht, L., Stallard, R.F., and Kalko, E., 2017, Land use history and population dynamics of free-standing figs in a maturing forest: PLoS ONE, v. 12, no. 5, p. 1-18, https://doi.org/10.1371/journal.pone.0177060.","productDescription":"e0177060; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-087054","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0177060","text":"Publisher Index Page"},{"id":341795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076e8","contributors":{"authors":[{"text":"Albrecht, Larissa","contributorId":192297,"corporation":false,"usgs":false,"family":"Albrecht","given":"Larissa","email":"","affiliations":[],"preferred":false,"id":696145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":696144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalko, Elisabeth","contributorId":192298,"corporation":false,"usgs":false,"family":"Kalko","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":696146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187987,"text":"70187987 - 2017 - Doubling of coastal flooding frequency within decades due to sea-level rise","interactions":[],"lastModifiedDate":"2017-05-26T10:58:06","indexId":"70187987","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Doubling of coastal flooding frequency within decades due to sea-level rise","docAbstract":"<p><span>Global climate change drives sea-level rise, increasing the frequency of coastal flooding. In most coastal regions, the amount of sea-level rise occurring over years to decades is significantly smaller than normal ocean-level fluctuations caused by tides, waves, and storm surge. However, even gradual sea-level rise can rapidly increase the frequency and severity of coastal flooding. So far, global-scale estimates of increased coastal flooding due to sea-level rise have not considered elevated water levels due to waves, and thus underestimate the potential impact. Here we use extreme value theory to combine sea-level projections with wave, tide, and storm surge models to estimate increases in coastal flooding on a continuous global scale. We find that regions with limited water-level variability, i.e., short-tailed flood-level distributions, located mainly in the Tropics, will experience the largest increases in flooding frequency. The 10 to 20 cm of sea-level rise expected no later than 2050 will more than double the frequency of extreme water-level events in the Tropics, impairing the developing economies of equatorial coastal cities and the habitability of low-lying Pacific island nations.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-01362-7","usgsCitation":"Vitousek, S., Barnard, P., Fletcher, C., Frazer, N., Erikson, L.H., and Storlazzi, C., 2017, Doubling of coastal flooding frequency within decades due to sea-level rise: Scientific Reports, v. 7, p. 1-9, https://doi.org/10.1038/s41598-017-01362-7.","productDescription":"Article number: 1399; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-066932","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-01362-7","text":"Publisher Index Page"},{"id":341793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076e3","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Charles H.","contributorId":30286,"corporation":false,"usgs":true,"family":"Fletcher","given":"Charles H.","affiliations":[],"preferred":false,"id":696160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazer, Neil","contributorId":192305,"corporation":false,"usgs":false,"family":"Frazer","given":"Neil","email":"","affiliations":[],"preferred":false,"id":696161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189009,"text":"70189009 - 2017 - Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak","interactions":[],"lastModifiedDate":"2017-07-12T10:25:34","indexId":"70189009","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak","docAbstract":"During the 2015 outbreak of highly pathogenic avian influenza virus\n(HPAI) on poultry farms in the midwestern United States, concern was raised\nabout the potential for HPAI to contaminate groundwater. Our study objective was to evaluate the occurrence of HPAI in the groundwater supply wells on 13 outbreak-affected poultry farms in Iowa and Wisconsin. We sampled 20 wells, six waste-storage lagoons, and one pond. Three wells and one lagoon were positive for the matrix gene indicative of influenza A virus. Using a semi-nested qPCR assay specific to the H5 HPAI outbreak strain, one well was H5-positive, matching the outbreak virus hemagglutinin gene. Matrix gene-positive samples analyzed for avian influenza virus (AIV) by cell culture and embryonating egg culture were negative. Seven wells were positive by PCR for a poultry-specific parvovirus, thus providing corroborating evidence of virus transport pathways between poultry fecal wastes and groundwater. Our data suggest it is possible for AIV to be transported to groundwater, and during an outbreak, the potential for poultry farm wells to become contaminated with AIV should be considered.","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.estlett.7b00128","usgsCitation":"Borchardt, M.A., Spencer, S.K., Hubbard, L.E., Firnstahl, A.D., Stokdyk, J.P., and Kolpin, D.W., 2017, Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak: Environmental Science & Technology Letters, v. 4, no. 7, p. 268-272, https://doi.org/10.1021/acs.estlett.7b00128.","productDescription":"5 p.","startPage":"268","endPage":"272","ipdsId":"IP-078487","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":343120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, 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,{"id":70186903,"text":"ofr20161050 - 2017 - Water-quality and lake-stage data for Wisconsin lakes, water years 2012–2013","interactions":[],"lastModifiedDate":"2018-02-06T11:47:04","indexId":"ofr20161050","displayToPublicDate":"2017-05-25T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1050","title":"Water-quality and lake-stage data for Wisconsin lakes, water years 2012–2013","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2012 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2011 through September 30, 2012, is called “water year 2012.”</p><p>The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll <i>a</i> concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published online at <a href=\"http://nwis.waterdata.usgs.gov/wi/nwis\" data-mce-href=\"http://nwis.waterdata.usgs.gov/wi/nwis\">http://nwis.waterdata.usgs.gov/wi/nwis</a>.</p><p>Water-resources data, including stage and discharge data at most streamflow-gaging stations, are available online. The Wisconsin Water Science Center’s home page is at <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">https://www.usgs.gov/centers/wisconsin-water-science-center</a>. Information on the Wisconsin Water Science Center’s Lakes Program is found at <a href=\"http://wi.water.usgs.gov/lakes/index.html\" data-mce-href=\"http://wi.water.usgs.gov/lakes/index.html\">http://wi.water.usgs.gov/lakes/index.html</a> and <a href=\"http://wi.water.usgs.gov/projects/index.html\" data-mce-href=\"http://wi.water.usgs.gov/projects/index.html\">http://wi.water.usgs.gov/projects/index.html</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161050","collaboration":"Prepared in cooperation with the State of Wisconsin and with other agencies","usgsCitation":"Manteufel, S.B., and Robertson, D.M., 2017, Water-quality and lake-stage data for Wisconsin lakes, water years 2012–2013: U.S. Geological Survey Open-File Report 2016–1050, 320 p., https://doi.org/10.3133/ofr20161050.","productDescription":"vi, 153 p.","numberOfPages":"323","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066231","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":341495,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161131","text":"Open-File Report 2016–1131","linkHelpText":"- Water-Quality and Lake-Stage Data for Wisconsin Lakes, Water Year 2014"},{"id":341493,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1050/ofr20161050.pdf","text":"Report","size":"4.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1050"},{"id":341492,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1050/coverthb.jpg"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"mailto:dc_wi@usgs.gov\" data-mce-href=\"mailto:dc_wi@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">Wisconsin Water Science Center</a><br> U.S. Geological Survey<br> 8505 Research Way <br> Middleton, WI 53562</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods of data collection</li><li>Explanation of physical and chemical characteristics of lakes</li><li>Classification of lakes</li><li>References Cited</li><li>Lake data</li><li>Wisconsin Water Science Center publications pertaining to lakes</li><li>Appendix – Quality-Assurance/Quality-Control Plan</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-05-25","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed1fe4b09c77323ac71f","contributors":{"authors":[{"text":"Manteufel, S. Bridgett sbmarsh@usgs.gov","contributorId":2593,"corporation":false,"usgs":true,"family":"Manteufel","given":"S.","email":"sbmarsh@usgs.gov","middleInitial":"Bridgett","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186909,"text":"ofr20161131 - 2017 - Water-quality and lake-stage data for Wisconsin lakes, water year 2014","interactions":[],"lastModifiedDate":"2018-02-06T11:46:47","indexId":"ofr20161131","displayToPublicDate":"2017-05-25T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1131","title":"Water-quality and lake-stage data for Wisconsin lakes, water year 2014","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a database for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2014 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period<br>October 1, 2013, through September 30, 2014, is called “water year 2014.”</p><p>The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus, and chlorophyll <i>a</i> concentrations collected during nonfrozen periods are included for many lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes the location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published online at <a href=\"http://nwis.waterdata.usgs.gov/wi/nwis\" data-mce-href=\"http://nwis.waterdata.usgs.gov/wi/nwis\">http://nwis.waterdata.usgs.gov/wi/nwis</a>.</p><p>Water-resources data, including stage and discharge data at most streamflow-gaging stations, are available online. The Wisconsin Water Science Center’s home page is at <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">https://www.usgs.gov/centers/wisconsin-water-science-center</a>. Information about the Wisconsin Water Science Center’s Lakes Program is found at <a href=\"http://wi.water.usgs.gov/lakes/index.html\" data-mce-href=\"http://wi.water.usgs.gov/lakes/index.html\">http://wi.water.usgs.gov/lakes/index.html</a><a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\"> and </a><a href=\"http://wi.water.usgs.gov/projects/index.html\" data-mce-href=\"http://wi.water.usgs.gov/projects/index.html\">http://wi.water.usgs.gov/projects/index.html</a><a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">.</a></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161131","collaboration":"Prepared in cooperation with the State of Wisconsin and local agencies","usgsCitation":"Manteufel, S.B., and Robertson, D.M., 2017, Water-quality and lake-stage data for Wisconsin lakes, water year 2014: U.S. Geological Survey Open-File Report 2016–1131, 170 p., https://doi.org/10.3133/ofr20161131.","productDescription":"vii, 161 p.","numberOfPages":"172","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066232","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":341511,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161050","text":"Open-File Report 2016-1050","linkHelpText":"- Water Quality and Lake-Stage Data for Wisconsin Lakes, Water Years 2012–2013"},{"id":341503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1131/coverthb.jpg"},{"id":341504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1131/ofr20161131.pdf","text":"Report","size":"2.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1131"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"mailto:dc_wi@usgs.gov\" data-mce-href=\"mailto:dc_wi@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">Wisconsin Water Science Center</a><br> U.S. Geological Survey<br> 8505 Research Way <br> Middleton, WI 53562</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods of Data Collection</li><li>Explanation of Physical and Chemical Characteristics of Lakes</li><li>Classification of Lakes</li><li>Acknowledgments</li><li>References Cited</li><li>Lake data</li><li>Wisconsin Water Science Center publications pertaining to lakes</li><li>Appendix – Wisconsin Lakes Team Quality-Assurance Plan</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-05-25","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed1ee4b09c77323ac71a","contributors":{"authors":[{"text":"Manteufel, S. Bridgett sbmarsh@usgs.gov","contributorId":2593,"corporation":false,"usgs":true,"family":"Manteufel","given":"S.","email":"sbmarsh@usgs.gov","middleInitial":"Bridgett","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185589,"text":"ofr20171032 - 2017 - Summary of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15","interactions":[],"lastModifiedDate":"2017-05-25T15:43:23","indexId":"ofr20171032","displayToPublicDate":"2017-05-25T13:50:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1032","title":"Summary of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15","docAbstract":"<p>U.S. Geological Survey scientists and technical support staff measured oceanographic, waterquality, seabed-elevation-change, and meteorological parameters in Chincoteague Bay, Maryland and Virginia, during the period of August 13, 2014, to July 14, 2015, as part of the Estuarine Physical Response to Storms project (GS2–2D) supported by the Department of the Interior Hurricane Sandy recovery program. These measurements provide time series data that quantify the response and can be used to better understand the resilience of this back-barrier estuarine system to storms. The Assateague Island National Seashore (National Park Service) and the Chincoteague National Wildlife Refuge (U.S. Fish and Wildlife Service) are on the east side of Chincoteague Bay. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171032","usgsCitation":"Suttles, S.E., Ganju, N.K, Brosnahan, S.M., Montgomery, E.T., Dickhudt, P.J., Beudin, Alexis, Nowacki, D.J., and Martini, M.A., 2017, Summary of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15: U.S. Geological Survey Open-File Report 2017–1032, 95 p.,  https://doi.org/10.3133/ofr20171032.","productDescription":"xii, 95 p.","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-079627","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341661,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DF6PBV","text":"USGS data release","description":"USGS data release","linkHelpText":"Oceanographic and water-quality measurements in Chincoteague Bay, Maryland/Virginia, 2014–2015 "},{"id":341660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1032/ofr20171032.pdf","text":"Report","size":"25.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1032"},{"id":338262,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1032/coverthb.jpg"},{"id":341663,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WD3XSF","text":"USGS data release","description":"USGS data release","linkHelpText":"Water samples in support of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15, U.S. Geological Survey Field Activity 2014-048-FA"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.05996704101562,\n              38.34273329203372\n            ],\n            [\n              -75.11489868164062,\n              38.36857886877816\n            ],\n            [\n              -75.23300170898438,\n              38.28885871419223\n            ],\n            [\n              -75.35110473632812,\n              38.13455657705411\n            ],\n            [\n              -75.52001953125,\n              37.90194871393947\n            ],\n            [\n              -75.38681030273436,\n              37.826056694926535\n            ],\n            [\n              -75.16021728515624,\n              38.08160859009049\n            ],\n            [\n              -75.05996704101562,\n              38.34273329203372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://woodshole.er.usgs.gov/\" data-mce-href=\"https://woodshole.er.usgs.gov/\">Woods Hole Coastal and Marine Science Center </a><br> U.S. Geological Survey <br> 384 Woods Hole Road <br> Quissett Campus <br> Woods Hole, MA 02543</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Instruments</li><li>Site Description</li><li>Data Processing</li><li>Results</li><li>References Cited</li><li>Appendix 1. Burst Current and Pressure Data, Chincoteague Bay, Maryland and Virginia, 2014–15</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-05-25","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed20e4b09c77323ac725","contributors":{"authors":[{"text":"Suttles, Steven E.  0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":174766,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven E. ","email":"ssuttles@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":174763,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brosnahan, Sandra M. sbrosnahan@usgs.gov","contributorId":140607,"corporation":false,"usgs":true,"family":"Brosnahan","given":"Sandra","email":"sbrosnahan@usgs.gov","middleInitial":"M.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montgomery, Ellyn T.  0000-0002-9354-4220 emontgomery@usgs.gov","orcid":"https://orcid.org/0000-0002-9354-4220","contributorId":174837,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T. ","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickhudt, Patrick J. ","contributorId":169593,"corporation":false,"usgs":false,"family":"Dickhudt","given":"Patrick J. ","affiliations":[{"id":25562,"text":"(former) Woods Hole Coastal and Marine Science Center employee","active":true,"usgs":false}],"preferred":false,"id":686046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beudin, Alexis 0000-0001-9525-9450 abeudin@usgs.gov","orcid":"https://orcid.org/0000-0001-9525-9450","contributorId":178819,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","email":"abeudin@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":686047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":686049,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187366,"text":"cir1429 - 2017 - Advanced National Seismic System—Current status, development opportunities, and priorities for 2017–2027","interactions":[],"lastModifiedDate":"2026-05-06T16:40:52.920453","indexId":"cir1429","displayToPublicDate":"2017-05-25T09:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1429","title":"Advanced National Seismic System—Current status, development opportunities, and priorities for 2017–2027","docAbstract":"<h1>Summary</h1><p>Earthquakes pose a threat to the safety of over 143 million people living in the United States. Earthquake impacts can be significantly reduced if communities understand their risk and take proactive steps to mitigate that risk. The Advanced National Seismic System (ANSS) is a cooperative effort to collect and analyze seismic and geodetic data on earthquakes, issue timely and reliable notifications of their occurrence and impacts, and provide data for earthquake research and the hazard and risk assessments that are the foundation for creating an earthquakeresilient nation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1429","isbn":"978-1-4113-4136-4","usgsCitation":"U.S. Geological Survey, 2017, Advanced National Seismic System—Current status, development opportunities, and priorities for 2017–2027 (ver.1.1, July 2017): U.S. Geological Survey Circular 1429, 32 p., https://doi.org/10.3133/cir1429.","productDescription":"vii, 32 p.","numberOfPages":"44","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-079172","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345080,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1429/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":341182,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1429/coverthb2.jpg"},{"id":341183,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1429/circ1429.pdf","text":"Report","size":"9.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1429"},{"id":504043,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_105716.htm","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0: Originally posted May 25, 2017; Version 1.1: July 18, 2017","contact":"<p><a href=\"https://earthquake.usgs.gov/monitoring/anss/#site-sectionnav\" data-mce-href=\"https://earthquake.usgs.gov/monitoring/anss/#site-sectionnav\">Earthquake Hazards Program</a><br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Mail Stop 905<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Preface&nbsp;</li><li>Acknowledgments&nbsp;</li><li>Executive Summary&nbsp;</li><li>Introduction</li><li>Background</li><li>Overview of the Current Advanced National Seismic System</li><li>Advanced National Seismic System Progress to Date (2000–2016)</li><li>Advanced National Seismic System Development Opportunities (2017–2027)</li><li>Conclusions</li><li>References Cited</li><li>Appendix: Planning Considerations for 2017–2027</li><li>Resources—Existing and Needed</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-05-25","revisedDate":"2017-07-18","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed21e4b09c77323ac72c","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":147999,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":694934,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70185738,"text":"fs20173023 - 2017 - Assessment of continuous gas resources in the Khorat Plateau Province, Thailand and Laos, 2016","interactions":[],"lastModifiedDate":"2017-05-25T15:51:25","indexId":"fs20173023","displayToPublicDate":"2017-05-25T00:15:45","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3023","title":"Assessment of continuous gas resources in the Khorat Plateau Province, Thailand and Laos, 2016","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean undiscovered, technically recoverable resources of 2.3 trillion cubic feet of continuous gas in the Khorat Plateau Province of Thailand and Laos.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173023","usgsCitation":"Schenk, C.J., Klett, T.R., Mercier, T.J., Finn, T.M., Tennyson, M.E., Gaswirth, S.B., Marra, K.R., Le, P.A., and Drake, R.M., II, 2017, Assessment of continuous gas resources in the Khorat Plateau Province, Thailand and Laos, 2016: U.S. Geological Survey Fact Sheet 2017–3023, 4 p., https://doi.org/10.3133/fs20173023.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-082329","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":341715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3023/coverthb.jpg"},{"id":341716,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3023/fs20173023.pdf","text":"Report","size":"4.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3023"},{"id":341717,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2010/3015/","text":"Fact Sheet 2010–3015 : Assessment of Undiscovered Oil and Gas Resources of Southeast Asia, 2010"},{"id":341718,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20143033 \t","text":" Fact Sheet 2014–3033 : Assessment of Potential Unconventional Lacustrine Shale-Oil and Shale-Gas Resources, Phitsanulok Basin, Thailand, 2014"}],"country":"Laos, Thailand","otherGeospatial":"Khorat Plateau Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              101.75,\n              14\n            ],\n            [\n              106.5,\n              14\n            ],\n            [\n              106.5,\n              19\n            ],\n            [\n              101.75,\n              19\n            ],\n            [\n              101.75,\n              14\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum Systems and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-05-25","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed22e4b09c77323ac733","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":686586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":149258,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":686587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":686588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":686589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":686590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":147385,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie","email":"sgaswirth@usgs.gov","middleInitial":"B.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":686591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":686592,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":146384,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":686593,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II rmdrake@usgs.gov","contributorId":168352,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","email":"rmdrake@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":686594,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187899,"text":"sir20175027 - 2017 - Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015","interactions":[],"lastModifiedDate":"2017-05-26T12:29:50","indexId":"sir20175027","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","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":"2017-5027","title":"Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015","docAbstract":"<p>Hoover Reservoir, an important drinking water supply for the City of Columbus, Ohio, has been the source of a series of taste and odor problems in treated drinking water during the past few years. These taste and odor problems were caused by the compounds geosmin and 2-methylisoborneol, which are thought to have been related to cyanobacteria blooms. In an effort to reduce the phosphorus available for cyanobacteria blooms at fall turnover, the City of Columbus began experimenting with the dam’s selective withdrawal system to remove excess phosphorus in the hypolimnion, which is released from bottom sediments during summer anoxic conditions.</p><p>The U.S. Geological Survey completed two synoptic survey campaigns to assess distributions of water quality and water velocity in the lower part of Hoover Reservoir to provide information on the changes to reservoir dynamics caused by changing dam operations. One campaign (campaign 1) was done while water was being withdrawn from the reservoir through the dam’s middle gate and the other (campaign 2) while water was being withdrawn through the dam’s lower gate. Velocities were measured using an acoustic Doppler current profiler, and water-quality parameters were measured using an autonomous underwater vehicle equipped with water-quality sensors. Along with the water-quality and water-velocity data, meteorological, inflow and outflow discharges, and independent water-quality data were compiled to monitor changes in other parameters that affect reservoir behavior. Monthly nutrient data, collected by the City of Columbus, were also analyzed for trends in concentration during periods of expected stratification.</p><p>Based on the results of the two campaigns, when compared to withdrawing water through the middle gate, withdrawing water through the lower gate seemed to increase shear-driven mixing across the thermocline, which resulted in an increase in the depth of the epilimnion throughout the lower part of Hoover Reservoir. The observations from this study, if repeatable and driven primarily by changes in gate operations, can inform nutrient management strategies for Hoover Reservoir. Increased mixing across the thermocline may potentially supply nutrients from the hypolimnion to algae in the epilimnion. Although operation of the lower gate has the potential to export nutrients from the hypolimnion (where the concentrations of nutrients have typically been higher during summer months) through two mechanisms (direct withdrawal and mixing into the epilimnion), supply of nutrients to the epilimnion through enhanced mixing could lead to a short-term increase in algal populations. Therefore, further study is recommended to (1) test the repeatability of the results of gate changes on water-quality distributions and circulation patterns in lower Hoover Reservoir, (2) identify the immediate effect of gate changes on nutrient concentrations in the water column, and (3) identify the best management practices to reduce the nutrient storage in the hypolimnion of Hoover Reservoir without increasing the potential for nutrient transport to the highly productive epilimnion.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175027","usgsCitation":"Vonins, B.L., and Jackson, P.R., 2017, Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015: U.S. Geological Survey Scientific Investigations Report 2017–5027, 62 p., https://doi.org/10.3133/sir20175027.","productDescription":"Report: vii, 61 p.; Data Release","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-080214","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":438332,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75X271K","text":"USGS data release","linkHelpText":"Survey of velocity and bathymetery in Hoover Reservoir, ADCP source data, Columbus, OH (August, 2015)"},{"id":341790,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70863D8","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Three-dimensional point measurements of basic water-quality parameters in Hoover Reservoir near Westerville, Ohio, August 25 and 27, 2015"},{"id":341771,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F75X271K","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Survey of velocity and bathymetry in Hoover Reservoir, ADCP source data, Columbus, OH (August, 2015)"},{"id":341700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5027/sir20175027.pdf","text":"Report","size":"55.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5027"},{"id":341699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5027/coverthb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Hoover Dam,  Hoover Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.91999816894531,\n              39.989221102071994\n            ],\n            [\n              -82.83004760742188,\n              39.989221102071994\n            ],\n            [\n              -82.83004760742188,\n              40.25647271628502\n            ],\n            [\n              -82.91999816894531,\n              40.25647271628502\n            ],\n            [\n              -82.91999816894531,\n              39.989221102071994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_oh@usgs.gov\" data-mce-href=\"mailto: dc_oh@usgs.gov\">Director</a>, <a href=\"https://oh.water.usgs.gov\" data-mce-href=\"https://oh.water.usgs.gov\">Ohio Water Science Center</a> <br>U.S. Geological Survey<br>6460 Busch Blvd. <br>STE 100 <br>Columbus, OH 43229–1737</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Study Area<br></li><li>Data Sources, Collection, and Processing<br></li><li>Response of Currents and Water Quality to Changes in Dam Operations<br></li><li>Conclusions<br></li><li>References Cited<br></li><li>Appendix 1. Cross-Section Profiles<br></li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-05-25","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed26e4b09c77323ac75b","contributors":{"authors":[{"text":"VonIns, Branden L. 0000-0001-6185-2854 blvonins@usgs.gov","orcid":"https://orcid.org/0000-0001-6185-2854","contributorId":191787,"corporation":false,"usgs":true,"family":"VonIns","given":"Branden","email":"blvonins@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":695923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":173931,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":695924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187972,"text":"70187972 - 2017 - Turbid releases from Glen Canyon Dam, Arizona, following rainfall-runoff events of September 2013","interactions":[],"lastModifiedDate":"2017-09-18T15:41:42","indexId":"70187972","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Turbid releases from Glen Canyon Dam, Arizona, following rainfall-runoff events of September 2013","docAbstract":"<p><span>Glen Canyon Dam is a large dam on the Colorado River in Arizona. In September 2013, it released turbid water following intense thunderstorms in the surrounding area. Turbidity was &gt;15 nephelometric turbidity units (NTU) for multiple days and &gt;30 NTU at its peak. These unprecedented turbid releases impaired downstream fishing activity and motivated a rapid-response field excursion. At 5 locations upstream from the dam, temperature, specific conductance, dissolved oxygen, chlorophyll </span><i>a</i><span>, and turbidity were measured in vertical profiles. Local streamflow and rainfall records were retrieved, and turbidity and specific conductance data in dam releases were evaluated. Profiling was conducted to determine possible sources of turbidity from 3 tributaries nearest the dam, Navajo, Antelope, and Wahweap creeks, which entered Lake Powell as interflows during this study. We discuss 4 key conditions that must have been met for tributaries to influence turbidity of dam releases: tributary flows must have reached the dam, tributary flows must have been laden with sediment, inflow currents must have been near the depth of dam withdrawals, and the settling velocity of particles must have been slow. We isolate 2 key uncertainties that reservoir managers should resolve in future similar studies: the reach of tributary water into the reservoir thalweg and the distribution of particle size of suspended sediment. These uncertainties leave the source of the turbidity ambiguous, although an important role for Wahweap Creek is possible. The unique combination of limnological factors we describe implies that turbid releases at Glen Canyon Dam will continue to be rare.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2017.1293756","usgsCitation":"Wildman, R.A., and Vernieu, W., 2017, Turbid releases from Glen Canyon Dam, Arizona, following rainfall-runoff events of September 2013: Lake and Reservoir Management, v. 33, no. 3, p. 211-216, https://doi.org/10.1080/10402381.2017.1293756.","productDescription":"6 p.","startPage":"211","endPage":"216","ipdsId":"IP-064015","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":341772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.49578094482422,\n              36.92958567631005\n            ],\n            [\n              -111.37184143066406,\n              36.92958567631005\n            ],\n            [\n              -111.37184143066406,\n              37.00063338417457\n            ],\n            [\n              -111.49578094482422,\n              37.00063338417457\n            ],\n            [\n              -111.49578094482422,\n              36.92958567631005\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-24","publicationStatus":"PW","scienceBaseUri":"5927ed24e4b09c77323ac73a","contributors":{"authors":[{"text":"Wildman, Richard A. Jr.","contributorId":192278,"corporation":false,"usgs":false,"family":"Wildman","given":"Richard","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vernieu, William bvernieu@usgs.gov","contributorId":2546,"corporation":false,"usgs":true,"family":"Vernieu","given":"William","email":"bvernieu@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696121,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187924,"text":"ofr20171043 - 2017 - Conversing with Pelehonuamea: A workshop combining 1,000+ years of traditional Hawaiian knowledge with 200 years of scientific thought on Kīlauea volcanism","interactions":[],"lastModifiedDate":"2017-06-30T11:16:29","indexId":"ofr20171043","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1043","title":"Conversing with Pelehonuamea: A workshop combining 1,000+ years of traditional Hawaiian knowledge with 200 years of scientific thought on Kīlauea volcanism","docAbstract":"<p class=\"m_4967072402024028765m_-4812364477648153722gmail-MsoBodyText\">The events surrounding volcanic eruptions and damaging earthquakes in Hawai‘i have often been described in journals, letters, and newspapers articles in the English language; however, the Hawaiian nation was among the most literate of countries in the 19th century, and many Hawaiian-language newspapers were in circulation through all but the earliest decades of the 19th century. Any modern reconstruction of the history of Hawaiian eruptions or earthquakes should take advantage of all available sources, and so we seek to add the Hawaiian-language newspaper articles, journals, stories, and chants to the volcano and earthquake literature. These sources have been used in many recent volcanological studies.</p><p class=\"m_4967072402024028765m_-4812364477648153722gmail-MsoBodyText\">Another aspect to the mix of science and traditional Hawaiian values is that many of the volcanic summits in Hawaiʻi are considered sacred to Hawaiians. Hawaiian travelers brought the first Western missionary team to the summit of Kīlauea and advised them of the proper protocols and behaviors while in this sacred area. The missionaries dismissed this advice as native superstition and they began a campaign of aggressively stamping out customs and protocols related to the Hawaiian volcano goddess Pelehonuamea. What has survived as native knowledge of the volcanoes is a few phrases from native guides included in some of the missionaries’ journals, and a few stories. Pualani and Ku<span lang=\"haw-US\">ʻ</span>ulei Kanahele provide excellent introductions to the Pelehonuamea chants.</p><p class=\"m_4967072402024028765m_-4812364477648153722gmail-MsoBodyText\">In the 21st century, amid a reawakening of Hawaiian culture, modern Hawaiians are demanding protection of their sacred areas, and scientists must be aware of these interests. At the very least, scientists should show respect to Hawaiian values when working in these areas, and should try to minimize disruptions caused by their work. Kaeo Duarte, Peter Mills, and Scott Rowland describe taking this approach in their field work.</p><p class=\"m_4967072402024028765m_-4812364477648153722gmail-MsoBodyText\">Traditional knowledge is also contained in place names. It is important not only to preserve old place names and to recover those no longer used, but also to preserve the stories of those places. Bobby Camara talks about the joys and frustrations of getting information on and recovering Hawaiian place names.</p><p class=\"m_4967072402024028765m_-4812364477648153722gmail-MsoBodyText\">Finally, we hope that a broader interest in Hawaiian views about locations in Hawaiʻi where physical scientific work is done will be as beneficial to physical scientists as it has been to life scientists investigating Hawaiian lifeforms on land and in the ocean, and that both studies will continue to benefit the native peoples of Hawaiʻi.</p><p class=\"m_4967072402024028765m_-4812364477648153722gmail-MsoBodyText\">Note that these proceedings are transcripts of oral presentations illustrated with PowerPoint presentations or charts. Although every effort has been made to assure the accuracy of the oral presentations, there are some gaps where words are not discernible in the voice recordings and are so noted. In other places, bracketed words were added to clarify the speaker’s meaning.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171043","usgsCitation":"Kauahikaua, J.P., and Babb, J.L., comps. and eds., Conversing with Pelehonuamea—A workshop combining 1,000+ years of traditional Hawaiian knowledge with 200 years of scientific thought on Kīlauea volcanism (ver. 1.1, June 2017): U.S. Geological Survey Open File Report 2017–1043, 169 p., https://doi.org/10.3133/ofr20171043.","productDescription":"Report: version 1.1, 169 p.","numberOfPages":"175","onlineOnly":"Y","ipdsId":"IP-070029","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":341759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1043/coverthb1.jpg"},{"id":341760,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1043/ofr20171043.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1043"},{"id":343180,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2017/1043/ofr20171043_versionHist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2017-1043"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea","edition":"Version 1.0: Originally posted May 25, 2017; Version 1.1: June 29, 2017","contact":"<p><a href=\"https://hvo.wr.usgs.gov/\" data-mce-href=\"https://hvo.wr.usgs.gov/\">Volcano Science Center, Hawaiian Volcano Observatory</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>P.O. Box 51, 1 Crater Rim Road<br>Hawaiʻi Volcanoes National Park, HI 96718-0051<br></p>","tableOfContents":"<ul><li>Preface<br></li><li>Acknowledgments<br></li><li>Workshop Schedule<br></li><li>Pelehonuamea<br></li><li>Speculative Correlation Between Oral Traditions and Volcanic History of Kīlauea Between ~1200 and 1800 C.E.<br></li><li>Whose Footprints are They, Really?<br></li><li>Rising Mist: Ohu Aela I Uka<br></li><li>Waipiʻo: The Bend in the Water<br></li><li>GG104—Volcanoes in the Sea: A Course that Examines the Effects of Pacific-Island<br></li><li>Geology and Geophysics on Pacific Cultures, Past and Present<br></li><li>Combining Science and Cultural Sensitivity: Nondestructive Sourcing of Polynesian Stone Tools</li><li>Pelehonuamea II<br></li><li>Traditional Place Names in Hawaiʻi Volcanoes National Park<br></li><li>Open Discussion of Pelehonuamea with Pua Kanahele<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-05-25","revisedDate":"2017-06-29","noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5927ed26e4b09c77323ac754","contributors":{"compilers":[{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":696101,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Babb, Janet L. 0000-0002-0208-2674 jbabb@usgs.gov","orcid":"https://orcid.org/0000-0002-0208-2674","contributorId":5443,"corporation":false,"usgs":true,"family":"Babb","given":"Janet","email":"jbabb@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":696102,"contributorType":{"id":3,"text":"Compilers"},"rank":2}],"editors":[{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":696099,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Babb, Janet L. 0000-0002-0208-2674 jbabb@usgs.gov","orcid":"https://orcid.org/0000-0002-0208-2674","contributorId":5443,"corporation":false,"usgs":true,"family":"Babb","given":"Janet","email":"jbabb@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":696100,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70187966,"text":"70187966 - 2017 - An evaluation of silver-stage American Eel conspecific chemical cueing during outmigration","interactions":[],"lastModifiedDate":"2017-06-20T13:22:40","indexId":"70187966","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of silver-stage American Eel conspecific chemical cueing during outmigration","docAbstract":"<p><span>American Eel </span><i class=\"EmphasisTypeItalic \">Anguilla rostrata</i><span> abundance has declined in recent decades, in part because sexually maturing, silver-stage adults, outmigrating from freshwater to oceanic spawning grounds, encounter migratory blockades or perish when passing through active hydroelectric turbines. To help improve downstream passage effectiveness and increase survival rates, the role of silver-stage American Eel conspecific chemical cueing during outmigration was investigated using a new type of bioassay. Inside a laboratory flume, downstream-swimming eels were exposed to both live (putative attractant) and dead (putative repellent) conspecific washings to determine whether their trajectory of downstream movement, level of activity, or time spent inside targeted areas of the arena changed after exposure. Silver eels were not attracted to or repulsed by either odor, as none of five scoring metrics indicated a behavioral response. Results did not support the hypothesis that conspecific chemical cueing is a mechanism for downstream migration coordination or danger avoidance; however responses may not have been readily apparent in this type of assay. Fisheries managers may opt to focus future research on more feasible restoration efforts using alternate experimental designs to remedy this ecological issue.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0611-4","usgsCitation":"Schmucker, A.K., Johnson, N.S., Galbraith, H.S., and Li, W., 2017, An evaluation of silver-stage American Eel conspecific chemical cueing during outmigration: Environmental Biology of Fishes, v. 100, no. 7, p. 851-864, https://doi.org/10.1007/s10641-017-0611-4.","productDescription":"14 p.","startPage":"851","endPage":"864","ipdsId":"IP-082788","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":438330,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NP22X3","text":"USGS data release","linkHelpText":"Silver eel responses to live and dead silver eel odors at the U.S. Geological Survey Wellsboro Lab in 2015"},{"id":341763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-16","publicationStatus":"PW","scienceBaseUri":"5927ed25e4b09c77323ac747","contributors":{"authors":[{"text":"Schmucker, Andrew K.","contributorId":173159,"corporation":false,"usgs":false,"family":"Schmucker","given":"Andrew","email":"","middleInitial":"K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":696085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":696084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":696086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":696087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187929,"text":"70187929 - 2017 - Frogs on the beach: Ecology of California Red-legged Frogs (<i>Rana draytonii</i>) in coastal dune drainages","interactions":[],"lastModifiedDate":"2017-05-26T10:32:14","indexId":"70187929","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Frogs on the beach: Ecology of California Red-legged Frogs (<i>Rana draytonii</i>) in coastal dune drainages","docAbstract":"<p>California Red-legged Frogs (Rana draytonii) are typically regarded as inhabitants of permanent ponds, marshes, and slow-moving streams, but their ecology in other habitats, such as drainages among coastal dunes, remains obscure. Because coastal dune ecosystems have been degraded by development, off-highway vehicle use, stabilization, and invasive species, these unique ecosystems are the focus of restoration efforts. To better understand the ecology of California Red-legged Frogs in coastal dune ecosystems and to avoid and minimize potential negative effects of dune restoration activities on these rare frogs, we studied their spatial ecology, habitat selection, and survival in coastal dune drainages at Point Reyes National Seashore, California, USA. All 22 radio-marked frogs remained in their home drainages throughout the spring and summer of 2015 and, with some notable exceptions, most remained close to water. Local convex hull home ranges of four out of five California Red-legged Frogs with &gt; 20 observations in dunes were &lt; 1,600 m2 . At the population level, frogs were 1.7 (95% credible interval, 1.2‒4.4) times more likely to select sites 1 m closer to water, and were 83 (2.0‒17,000) times more likely to select sites with 10% greater percentage cover of logs that served as refuges from environmental extremes and predators. On average, California Red-legged Frogs avoided the invasive plants Iceplant (Carpobrotus edulis) and European Beachgrass (Ammophila arenaria). Frogs were 0.68 (0.32‒0.89) and 0.55 (0.24‒0.75) times as likely to select areas that had 10% greater cover of these plants, respectively. Assuming constant risk of mortality, California Redlegged Frogs had an annual survival rate of 0.70 (0.27‒0.96) in coastal dune drainages. Our results indicate that coastal dune drainages provide a locally important habitat for California Red-legged Frogs. Restoration practices that maintain wetted drainages with logjams are likely to benefit California Red-legged Frogs.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Halstead, B., and Kleeman, P.M., 2017, Frogs on the beach: Ecology of California Red-legged Frogs (<i>Rana draytonii</i>) in coastal dune drainages: Herpetological Conservation and Biology, v. 12, no. 1, p. 127-140.","productDescription":"14 p.","startPage":"127","endPage":"140","ipdsId":"IP-080617","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":341765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341678,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol12_issue1.html"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5927ed26e4b09c77323ac74e","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":696021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":696022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187968,"text":"70187968 - 2017 - Acoustic deterrence of bighead carp (<i>Hypophthalmichthys nobilis</i>) to a broadband sound stimulus","interactions":[],"lastModifiedDate":"2018-03-28T11:26:20","indexId":"70187968","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic deterrence of bighead carp (<i>Hypophthalmichthys nobilis</i>) to a broadband sound stimulus","docAbstract":"<p><span>Recent studies have shown the potential of acoustic deterrents against invasive silver carp (</span><i>Hypophthalmichthys molitrix</i><span>). This study examined the phonotaxic response of the bighead carp (</span><i>H. nobilis</i><span>) to pure tones (500–2000&nbsp;Hz) and playbacks of broadband sound from an underwater recording of a 100&nbsp;hp outboard motor (0.06–10&nbsp;kHz) in an outdoor concrete pond (10&nbsp;×&nbsp;5&nbsp;×&nbsp;1.2&nbsp;m) at the U.S. Geological Survey Upper Midwest Environmental Science Center in La Crosse, WI. The number of consecutive times the fish reacted to sound from alternating locations at each end of the pond was assessed. Bighead carp were relatively indifferent to the pure tones with median consecutive responses ranging from 0 to 2 reactions away from the sound source. However, fish consistently exhibited significantly (P&nbsp;&lt;&nbsp;0.001) greater negative phonotaxis to the broadband sound (outboard motor recording) with an overall median response of 20 consecutive reactions during the 10&nbsp;min trials. In over 50% of broadband sound tests, carp were still reacting to the stimulus at the end of the trial, implying that fish were not habituating to the sound. This study suggests that broadband sound may be an effective deterrent to bighead carp and provides a basis for conducting studies with wild fish.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.11.009","usgsCitation":"Vetter, B.J., Murchy, K., Cupp, A.R., Amberg, J.J., Gaikowski, M.P., and Mensinger, A.F., 2017, Acoustic deterrence of bighead carp (<i>Hypophthalmichthys nobilis</i>) to a broadband sound stimulus: Journal of Great Lakes Research, v. 43, no. 4, p. 163-171, https://doi.org/10.1016/j.jglr.2016.11.009.","productDescription":"9 p.","startPage":"163","endPage":"171","ipdsId":"IP-087287","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.11.009","text":"Publisher Index Page"},{"id":341764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5927ed25e4b09c77323ac742","contributors":{"authors":[{"text":"Vetter, Brooke J.","contributorId":192271,"corporation":false,"usgs":false,"family":"Vetter","given":"Brooke","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murchy, Kelsie 0000-0003-3034-3488 kmurchy@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-3488","contributorId":189376,"corporation":false,"usgs":true,"family":"Murchy","given":"Kelsie","email":"kmurchy@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":696093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":696096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":147776,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":696097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":696098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mensinger, Allen F.","contributorId":150852,"corporation":false,"usgs":false,"family":"Mensinger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":696095,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187865,"text":"70187865 - 2017 - Mechanisms of nitrogen deposition effects on temperate forest lichens and trees","interactions":[],"lastModifiedDate":"2017-11-22T16:58:41","indexId":"70187865","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of nitrogen deposition effects on temperate forest lichens and trees","docAbstract":"<p><span>We review the mechanisms of deleterious nitrogen (N) deposition impacts on temperate forests, with a particular focus on trees and lichens. Elevated anthropogenic N deposition to forests has varied effects on individual organisms depending on characteristics both of the N inputs (form, timing, amount) and of the organisms (ecology, physiology) involved. Improved mechanistic knowledge of these effects can aid in developing robust predictions of how organisms respond to either increases or decreases in N deposition. Rising N levels affect forests in micro- and macroscopic ways from physiological responses at the cellular, tissue, and organism levels to influencing individual species and entire communities and ecosystems. A synthesis of these processes forms the basis for the overarching themes of this paper, which focuses on N effects at different levels of biological organization in temperate forests. For lichens, the mechanisms of direct effects of N are relatively well known at cellular, organismal, and community levels, though interactions of N with other stressors merit further research. For trees, effects of N deposition are better understood for N as an acidifying agent than as a nutrient; in both cases, the impacts can reflect direct effects on short time scales and indirect effects mediated through long-term soil and belowground changes. There are many gaps on fundamental N use and cycling in ecosystems, and we highlight the most critical gaps for understanding potential deleterious effects of N deposition. For lichens, these gaps include both how N affects specific metabolic pathways and how N is metabolized. For trees, these gaps include understanding the direct effects of N deposition onto forest canopies, the sensitivity of different tree species and mycorrhizal symbionts to N, the influence of soil properties, and the reversibility of N and acidification effects on plants and soils. Continued study of how these N response mechanisms interact with one another, and with other dimensions of global change, remains essential for predicting ongoing changes in lichen and tree populations across North American temperate forests.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1717","usgsCitation":"Carter, T.S., Clark, C., Fenn, M.E., Jovan, S.E., Perakis, S.S., Riddell, J., Schaberg, P.G., Greaver, T., and Hastings, M., 2017, Mechanisms of nitrogen deposition effects on temperate forest lichens and trees: Ecosphere, v. 8, no. 3, e01717: 26 p., https://doi.org/10.1002/ecs2.1717.","productDescription":"e01717: 26 p.","ipdsId":"IP-079686","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1717","text":"Publisher Index Page"},{"id":341619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-28","publicationStatus":"PW","scienceBaseUri":"59269bb5e4b0b7ff9fb48967","contributors":{"authors":[{"text":"Carter, Therese S.","contributorId":192237,"corporation":false,"usgs":false,"family":"Carter","given":"Therese","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":695817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Christopher L.","contributorId":168382,"corporation":false,"usgs":false,"family":"Clark","given":"Christopher L.","affiliations":[{"id":25276,"text":"US EPA, National Center for Envirenmental Assessment, DC","active":true,"usgs":false}],"preferred":false,"id":695818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenn, Mark E.","contributorId":192204,"corporation":false,"usgs":false,"family":"Fenn","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jovan, Sarah E.","contributorId":168384,"corporation":false,"usgs":false,"family":"Jovan","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":25277,"text":"US Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":695820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":695816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riddell, Jennifer","contributorId":192205,"corporation":false,"usgs":false,"family":"Riddell","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":695821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schaberg, Paul G.","contributorId":192206,"corporation":false,"usgs":false,"family":"Schaberg","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":695822,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greaver, Tara","contributorId":192207,"corporation":false,"usgs":false,"family":"Greaver","given":"Tara","affiliations":[],"preferred":false,"id":695823,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hastings, Meredith","contributorId":192208,"corporation":false,"usgs":false,"family":"Hastings","given":"Meredith","affiliations":[],"preferred":false,"id":695824,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187919,"text":"70187919 - 2017 - Carbon dioxide as an under-ice lethal control for invasive fishes","interactions":[],"lastModifiedDate":"2017-09-11T12:50:52","indexId":"70187919","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide as an under-ice lethal control for invasive fishes","docAbstract":"<p id=\"Par1\" class=\"Para\">Resource managers need effective tools to control invasive fish populations. In this study, we tested under-ice carbon dioxide (CO<sub>2</sub>) injection as a novel piscicide method for non-native Silver Carp (<i class=\"EmphasisTypeItalic \">Hypophthalmichthys molitrix</i>), Bighead Carp (<i class=\"EmphasisTypeItalic \">Hypophthalmichthys nobilis</i>), Grass Carp (<i class=\"EmphasisTypeItalic \">Ctenopharyngodon idella</i>), Common Carp (<i class=\"EmphasisTypeItalic \">Cyprinus carpio</i>) and native Bigmouth Buffalo (<i class=\"EmphasisTypeItalic \">Ictiobus cyprinellus</i>). Fish were held overwinter in nine outdoor ponds (0.04&nbsp;ha surface area; 340,000 L volume) treated with no CO<sub>2</sub> (control), 43.5–44.0&nbsp;kg CO<sub>2</sub> (low treatment), and 87.5–88.5&nbsp;kg CO<sub>2</sub> (high treatment). Ponds were harvested immediately after ice-out to assess survival and condition. Resulting survival in low (mean&nbsp;=&nbsp;32%) and high (mean&nbsp;=&nbsp;5%) CO<sub>2</sub>-treated ponds was significantly lower than untreated control ponds (mean&nbsp;=&nbsp;84%). Lethal efficacy varied across species with no Bighead Carp, Silver Carp, or Bigmouth Buffalo surviving the high CO<sub>2</sub> treatment. External infections were observed more frequently after CO<sub>2</sub> treatments (means&nbsp;=&nbsp;49–67%) relative to untreated ponds (mean&nbsp;=&nbsp;2%), suggesting a secondary mechanism for poor survival. This study demonstrates that CO<sub>2</sub> can be used as a lethal control for invasive fishes, but effectiveness may vary by species and CO<sub>2</sub>concentration.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-017-1462-9","usgsCitation":"Cupp, A.R., Woiak, Z., Erickson, R.A., Amberg, J., and Gaikowski, M., 2017, Carbon dioxide as an under-ice lethal control for invasive fishes: Biological Invasions, v. 19, no. 9, p. 2543-2552, https://doi.org/10.1007/s10530-017-1462-9.","productDescription":"10 p.","startPage":"2543","endPage":"2552","ipdsId":"IP-077419","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":341666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"59269bb3e4b0b7ff9fb4895b","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":695986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woiak, Zebadiah","contributorId":192253,"corporation":false,"usgs":true,"family":"Woiak","given":"Zebadiah","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":695987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":695988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":695989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":695990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187795,"text":"70187795 - 2017 - Bacteria versus selenium: A view from the inside out","interactions":[],"lastModifiedDate":"2017-05-24T13:07:49","indexId":"70187795","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Bacteria versus selenium: A view from the inside out","docAbstract":"<p><span>Bacteria and selenium (Se) are closely interlinked as the element serves both essential nutrient requirements and energy generation functions. However, Se can also behave as a powerful toxicant for bacterial homeostasis. Conversely, bacteria play a tremendous role in the cycling of Se between different environmental compartments, and bacterial metabolism has been shown to participate to all valence state transformations undergone by Se in nature. Bacteria possess an extensive molecular repertoire for Se metabolism. At the end of the 1980s, a novel mode of anaerobic respiration based on Se oxyanions was experimentally documented for the first time. Following this discovery, specific enzymes capable of reducing Se oxyanions and harvesting energy were found in a number of anaerobic bacteria. The genes involved in the expression of these enzymes have later been identified and cloned. This iterative approach undertaken </span><i class=\"EmphasisTypeItalic \">outside-in</i><span> led to the understanding of the molecular mechanisms of Se transformations in bacteria. Based on the extensive knowledge accumulated over the years, we now have a full(er) view from the </span><i class=\"EmphasisTypeItalic \">inside out</i><span>, from DNA-encoding genes to enzymes and thermodynamics. Bacterial transformations of Se for assimilatory purposes have been the object of numerous studies predating the investigation of Se respiration. Remarkable contributions related to the understating of the molecular picture underlying seleno-amino acid biosynthesis are reviewed herein. Under certain circumstances, Se is a toxicant for bacterial metabolism and bacteria have evolved strategies to counteract this toxicity, most notably by the formation of elemental Se (nano)particles. Several biotechnological applications, such as the production of functional materials and the biofortification of crop species using Se-utilizing bacteria, are presented in this chapter.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Selenium in plants","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer International","publisherLocation":"Cham, Switzerland","doi":"10.1007/978-3-319-56249-0_6","isbn":"978-3-319-56249-0","usgsCitation":"Staicu, L., Oremland, R.S., Tobe, R., and Mihara, H., 2017, Bacteria versus selenium: A view from the inside out, chap. <i>of</i> Selenium in plants, v. 11, p. 79-108, https://doi.org/10.1007/978-3-319-56249-0_6.","productDescription":"30 p.","startPage":"79","endPage":"108","ipdsId":"IP-076593","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":341657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59269bb6e4b0b7ff9fb48969","contributors":{"authors":[{"text":"Staicu, Lucian","contributorId":192150,"corporation":false,"usgs":false,"family":"Staicu","given":"Lucian","email":"","affiliations":[],"preferred":false,"id":695652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":695651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tobe, Ryuta","contributorId":192151,"corporation":false,"usgs":false,"family":"Tobe","given":"Ryuta","email":"","affiliations":[],"preferred":false,"id":695653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mihara, Hisaaki","contributorId":192152,"corporation":false,"usgs":false,"family":"Mihara","given":"Hisaaki","email":"","affiliations":[],"preferred":false,"id":695654,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187913,"text":"70187913 - 2017 - Bayesian methods to estimate urban growth potential","interactions":[],"lastModifiedDate":"2017-05-24T13:42:46","indexId":"70187913","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian methods to estimate urban growth potential","docAbstract":"<p><span>Urban growth often influences the production of ecosystem services. The impacts of urbanization on landscapes can subsequently affect landowners’ perceptions, values and decisions regarding their land. Within land-use and land-change research, very few models of dynamic landscape-scale processes like urbanization incorporate empirically-grounded landowner decision-making processes. Very little attention has focused on the heterogeneous decision-making processes that aggregate to influence broader-scale patterns of urbanization. We examine the land-use tradeoffs faced by individual landowners in one of the United States’ most rapidly urbanizing regions − the urban area surrounding Charlotte, North Carolina. We focus on the land-use decisions of non-industrial private forest owners located across the region’s development gradient. A discrete choice experiment is used to determine the critical factors influencing individual forest owners’ intent to sell their undeveloped properties across a series of experimentally varied scenarios of urban growth. Data are analyzed using a hierarchical Bayesian approach. The estimates derived from the survey data are used to modify a spatially-explicit trend-based urban development potential model, derived from remotely-sensed imagery and observed changes in the region’s socioeconomic and infrastructural characteristics between 2000 and 2011. This modeling approach combines the theoretical underpinnings of behavioral economics with spatiotemporal data describing a region’s historical development patterns. By integrating empirical social preference data into spatially-explicit urban growth models, we begin to more realistically capture processes as well as patterns that drive the location, magnitude and rates of urban growth.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2017.03.004","usgsCitation":"Smith, J.W., Smart, L.S., Dorning, M., Dupey, L.N., Meley, A., and Meentemeyer, R.K., 2017, Bayesian methods to estimate urban growth potential: Landscape and Urban Planning, v. 163, p. 1-16, https://doi.org/10.1016/j.landurbplan.2017.03.004.","productDescription":"17 p.","startPage":"1","endPage":"16","ipdsId":"IP-076460","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2017.03.004","text":"Publisher Index Page"},{"id":341664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"163","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb4e4b0b7ff9fb4895d","contributors":{"authors":[{"text":"Smith, Jordan W.","contributorId":177326,"corporation":false,"usgs":false,"family":"Smith","given":"Jordan","email":"","middleInitial":"W.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":695971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smart, Lindsey S.","contributorId":192250,"corporation":false,"usgs":false,"family":"Smart","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":695972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":695970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dupey, Lauren Nicole","contributorId":192251,"corporation":false,"usgs":false,"family":"Dupey","given":"Lauren","email":"","middleInitial":"Nicole","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":695973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meley, Andreanne","contributorId":192252,"corporation":false,"usgs":false,"family":"Meley","given":"Andreanne","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":695974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":695975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187872,"text":"70187872 - 2017 - Estimating inbreeding rates in natural populations: Addressing the problem of incomplete pedigrees","interactions":[],"lastModifiedDate":"2017-11-22T16:56:55","indexId":"70187872","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Estimating inbreeding rates in natural populations: Addressing the problem of incomplete pedigrees","docAbstract":"<p><span>Understanding and estimating inbreeding is essential for managing threatened and endangered wildlife populations. However, determination of inbreeding rates in natural populations is confounded by incomplete parentage information. We present an approach for quantifying inbreeding rates for populations with incomplete parentage information. The approach exploits knowledge of pedigree configurations that lead to inbreeding coefficients of </span><i>F</i><span> = 0.25 and </span><i>F</i><span> = 0.125, allowing for quantification of Pr(</span><i>I</i><span>|</span><i>k</i><span>): the probability of observing pedigree </span><i>I</i><span> given the fraction of known parents (</span><i>k</i><span>). We developed analytical expressions under simplifying assumptions that define properties and behavior of inbreeding rate estimators for varying values of </span><i>k</i><span>. We demonstrated that inbreeding is overestimated if Pr(</span><i>I</i><span>|</span><i>k</i><span>) is not taken into consideration and that bias is primarily influenced by </span><i>k</i><span>. By contrast, our new estimator, incorporating Pr(</span><i>I</i><span>|</span><i>k</i><span>), is unbiased over a wide range of values of </span><i>k</i><span>that may be observed in empirical studies. Stochastic computer simulations that allowed complex inter- and intragenerational inbreeding produced similar results. We illustrate the effects that accounting for Pr(</span><i>I</i><span>|</span><i>k</i><span>) can have in empirical data by revisiting published analyses of Arabian oryx (</span><i>Oryx leucoryx</i><span>) and Red deer (</span><i>Cervus elaphus</i><span>). Our results demonstrate that incomplete pedigrees are not barriers for quantifying inbreeding in wild populations. Application of our approach will permit a better understanding of the role that inbreeding plays in the dynamics of populations of threatened and endangered species and may help refine our understanding of inbreeding avoidance mechanisms in the wild.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esx032","usgsCitation":"Miller, M.P., Haig, S.M., Ballou, J.D., and Steel, E.A., 2017, Estimating inbreeding rates in natural populations: Addressing the problem of incomplete pedigrees: Journal of Heredity, esc032: 9 p., https://doi.org/10.1093/jhered/esx032.","productDescription":"esc032: 9 p.","ipdsId":"IP-080816","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469831,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esx032","text":"Publisher Index Page"},{"id":438334,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QR4V85","text":"USGS data release","linkHelpText":"Data and source code from &quot;Estimating inbreeding rates in natural populations: addressing the problem of incomplete pedigrees&quot;"},{"id":341618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"59269bb5e4b0b7ff9fb48965","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":695852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":695851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballou, Jonathan D.","contributorId":192226,"corporation":false,"usgs":false,"family":"Ballou","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":695853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":695854,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187875,"text":"70187875 - 2017 - Variation in species-level plant functional traits over wetland indicator status categories","interactions":[],"lastModifiedDate":"2017-06-14T11:56:48","indexId":"70187875","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Variation in species-level plant functional traits over wetland indicator status categories","docAbstract":"<p><span>Wetland indicator status (WIS) describes the habitat affinity of plant species and is used in wetland delineations and resource inventories. Understanding how species-level functional traits vary across WIS categories may improve designations, elucidate mechanisms of adaptation, and explain habitat optima and niche. We investigated differences in species-level traits of riparian flora across WIS categories, extending their application to indicate hydrologic habitat. We measured or compiled data on specific leaf area (SLA), stem specific gravity (SSG), seed mass, and mature height of 110 plant species that occur along the Colorado River in Grand Canyon, Arizona. Additionally, we measured leaf δ</span><sup>13</sup><span>C, δ</span><sup>15</sup><span>N, % carbon, % nitrogen, and C/N ratio of 56 species with C3 photosynthesis. We asked the following: (i) How do species-level traits vary over WIS categories? (ii) Does the pattern differ between herbaceous and woody species? (iii) How well do multivariate traits define WIS categories? (iv) Which traits are correlated? The largest trait differences among WIS categories for herbaceous species occurred for SSG, seed mass, % leaf carbon and height, and for woody species occurred for height, SSG, and δ</span><sup>13</sup><span>C. SSG increased and height decreased with habitat aridity for both woody and herbaceous species. The δ</span><sup>13</sup><span>C and hence water use efficiency of woody species increased with habitat aridity. Water use efficiency of herbaceous species increased with habitat aridity via greater occurrence of C4 grasses. Multivariate trait assemblages differed among WIS categories. Over all species, SLA was correlated with height, δ</span><sup>13</sup><span>C, % leaf N, and C/N; height was correlated with SSG and % leaf C; SSG was correlated with % leaf C. Adaptations of both herbaceous and woody riparian species to wet, frequently inundated habitats include low-density stem tissue. Adaptations to drier habitats in the riparian zone include short, high-density cavitation-resistant stem tissue, and high water use efficiency. The results enhance understanding about using traits to describe plant habitat in riparian systems.</span></p>","language":"English","publisher":"Blackwell Pub. Ltd","doi":"10.1002/ece3.2975","usgsCitation":"McCoy-Sulentic, M.E., Kolb, T.E., Merritt, D.M., Palmquist, E.C., Ralston, B.E., and Sarr, D.A., 2017, Variation in species-level plant functional traits over wetland indicator status categories: Ecology and Evolution, v. 7, no. 11, p. 3732-3744, https://doi.org/10.1002/ece3.2975.","productDescription":"13 p.","startPage":"3732","endPage":"3744","ipdsId":"IP-083993","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469833,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2975","text":"Publisher Index Page"},{"id":438333,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BV7DTQ","text":"USGS data release","linkHelpText":"Plant functional traits, Colorado River, Grand Canyon, 2012-2014Data"},{"id":341617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon, Marble Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.4503173828125,\n              35.73090666520053\n            ],\n            [\n              -111.53045654296874,\n              35.73090666520053\n            ],\n            [\n              -111.53045654296874,\n              36.90597988519294\n            ],\n            [\n              -113.4503173828125,\n              36.90597988519294\n            ],\n            [\n              -113.4503173828125,\n              35.73090666520053\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"59269bb5e4b0b7ff9fb48963","contributors":{"authors":[{"text":"McCoy-Sulentic, Miles E.","contributorId":192228,"corporation":false,"usgs":false,"family":"McCoy-Sulentic","given":"Miles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolb, Thomas E.","contributorId":189073,"corporation":false,"usgs":false,"family":"Kolb","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merritt, David M.","contributorId":192229,"corporation":false,"usgs":false,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":24595,"text":"USDA Forest Service, Fort Collins CO","active":true,"usgs":false}],"preferred":false,"id":695860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":695857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":695861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sarr, Daniel A. dsarr@usgs.gov","contributorId":191593,"corporation":false,"usgs":false,"family":"Sarr","given":"Daniel","email":"dsarr@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":695862,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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