{"pageNumber":"1039","pageRowStart":"25950","pageSize":"25","recordCount":68937,"records":[{"id":79168,"text":"sir20065151 - 2006 - Water quality of the Crescent River basin, Lake Clark National Park and Preserve, Alaska, 2003-2004","interactions":[],"lastModifiedDate":"2018-07-07T18:17:03","indexId":"sir20065151","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"2006-5151","title":"Water quality of the Crescent River basin, Lake Clark National Park and Preserve, Alaska, 2003-2004","docAbstract":"<p>The U.S. Geological Survey and the National Park Service conducted a water-quality investigation of the Crescent River Basin in Lake Clark National Park and Preserve from May 2003 through September 2004. The Crescent River Basin was studied because it has a productive sockeye salmon run that is important to the Cook Inlet commercial fishing industry. Water-quality, biology, and limnology characteristics were assessed. Glacier-fed streams that flow into Crescent Lake transport suspended sediment that is trapped by the lake. Suspended sediment concentrations from the Lake Fork Crescent River (the outlet stream of Crescent Lake) were less than 10 milligrams per liter, indicating a high trapping efficiency of Crescent Lake. The North Fork Crescent River transports suspended sediment throughout its course and provides most of the suspended sediment to the main stem of the Crescent River downstream from the confluence of the Lake Fork Crescent River. Three locations on Crescent Lake were profiled during the summer of 2004. Turbidity profiles indicate sediment plumes within the water column at various times during the summer. Turbidity values are higher in June, reflecting the glacier-fed runoff into the lake. Lower values of turbidity in August and September indicate a decrease of suspended sediment entering Crescent Lake. The water type throughout the Crescent River Basin is calcium bicarbonate. Concentrations of nutrients, major ions, and dissolved organic carbon are low. Alkalinity concentrations are generally less than 20 milligrams per liter, indicating a low buffering capacity of these waters. Streambed sediments collected from three surface sites analyzed for trace elements indicated that copper concentrations at all sites were above proposed guidelines. However, copper concentrations are due to the local geology, not anthropogenic factors. Zooplankton samples from Crescent Lake indicated the main taxa are Cyclops sp., a Copepod, and within that taxa were a relatively small number of ovigerous (egg-bearing) individuals. Cyclops sp. are one of the primary food sources for rearing sockeye salmon juveniles and were most prevalent in the July sampling. Qualitative-Multi-Habitat algae samples were collected from two surface-water sites. A total of 59 taxa were found and were comprised of 4 phyla: Rhodophyta (red algae), Cyanophyta (blue-green algae), Chlorophyta (green algae), and Chrysophyta (diatoms). Twenty-two algal taxa were collected from the upper site, North Fork Crescent River, whereas twice as many taxa were collected from the downstream site, Crescent River near the mouth.</p>","language":"English","doi":"10.3133/sir20065151","usgsCitation":"Brabets, T.P., and Ourso, R.T., 2006, Water quality of the Crescent River basin, Lake Clark National Park and Preserve, Alaska, 2003-2004: U.S. Geological Survey Scientific Investigations Report 2006-5151, v, 40 p., https://doi.org/10.3133/sir20065151.","productDescription":"v, 40 p.","startPage":"0","endPage":"0","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":195538,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8623,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5151/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.15167236328125,\n              59.80616004020659\n            ],\n            [\n              -155.15167236328125,\n              60.50187784207829\n            ],\n            [\n              -153.402099609375,\n              60.50187784207829\n            ],\n            [\n              -153.402099609375,\n              59.80616004020659\n            ],\n            [\n              -155.15167236328125,\n              59.80616004020659\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db606486","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":289278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ourso, Robert T. 0000-0002-5952-8681 rtourso@usgs.gov","orcid":"https://orcid.org/0000-0002-5952-8681","contributorId":203207,"corporation":false,"usgs":true,"family":"Ourso","given":"Robert","email":"rtourso@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":289279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70028103,"text":"70028103 - 2006 - Chesapeake Bay impact structure: Morphology, crater fill, and relevance for impact structures on Mars","interactions":[],"lastModifiedDate":"2012-03-12T17:20:51","indexId":"70028103","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Chesapeake Bay impact structure: Morphology, crater fill, and relevance for impact structures on Mars","docAbstract":"The late Eocene Chesapeake Bay impact structure (CBIS) on the Atlantic margin of Virginia is one of the largest and best-preserved \"wet-target\" craters on Earth. It provides an accessible analog for studying impact processes in layered and wet targets on volatile-rich planets. The CBIS formed in a layered target of water, weak clastic sediments, and hard crystalline rock. The buried structure consists of a deep, filled central crater, 38 km in width, surrounded by a shallower brim known as the annular trough. The annular trough formed partly by collapse of weak sediments, which expanded the structure to ???85 km in diameter. Such extensive collapse, in addition to excavation processes, can explain the \"inverted sombrero\" morphology observed at some craters in layered targets. The distribution of crater-fill materials i n the CBIS is related to the morphology. Suevitic breccia, including pre-resurge fallback deposits, is found in the central crater. Impact-modified sediments, formed by fluidization and collapse of water-saturated sand and silt-clay, occur in the annular trough. Allogenic sediment-clast breccia, interpreted as ocean-resurge deposits, overlies the other impactites and covers the entire crater beneath a blanket of postimpact sediments. The formation of chaotic terrains on Mars is attributed to collapse due to the release of volatiles from thick layered deposits. Some flat-floored rimless depressions with chaotic infill in these terrains are impact craters that expanded by collapse farther than expected for similar-sized complex craters in solid targets. Studies of crater materials in the CBIS provide insights into processes of crater expansion on Mars and their links to volatiles. ?? The Meteoritical Society, 2006.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Meteoritics and Planetary Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10869379","usgsCitation":"Horton, J.W., Ormo, J., Powars, D., and Gohn, G.S., 2006, Chesapeake Bay impact structure: Morphology, crater fill, and relevance for impact structures on Mars: Meteoritics and Planetary Science, v. 41, no. 10, p. 1613-1624.","startPage":"1613","endPage":"1624","numberOfPages":"12","costCenters":[],"links":[{"id":237226,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f5b3e4b0c8380cd4c38c","contributors":{"authors":[{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":81184,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[],"preferred":false,"id":416551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ormo, J.","contributorId":55626,"corporation":false,"usgs":true,"family":"Ormo","given":"J.","affiliations":[],"preferred":false,"id":416550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powars, D.S.","contributorId":7303,"corporation":false,"usgs":true,"family":"Powars","given":"D.S.","affiliations":[],"preferred":false,"id":416548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gohn, G. S.","contributorId":25937,"corporation":false,"usgs":true,"family":"Gohn","given":"G.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":416549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70028198,"text":"70028198 - 2006 - Leaf gas exchange characteristics of three neotropical mangrove species in response to varying hydroperiod","interactions":[],"lastModifiedDate":"2016-04-12T17:09:07","indexId":"70028198","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3649,"text":"Tree Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Leaf gas exchange characteristics of three neotropical mangrove species in response to varying hydroperiod","docAbstract":"<p><span>We determined how different hydroperiods affected leaf gas exchange characteristics of greenhouse-grown seedlings (2002) and saplings (2003) of the mangrove species&nbsp;</span><i>Avicennia germinans</i><span>&nbsp;(L.) Stearn.,&nbsp;</span><i>Laguncularia racemosa</i><span>&nbsp;(L.) Gaertn. f., and&nbsp;</span><i>Rhizophora mangle</i><span>&nbsp;L. Hydroperiod treatments included no flooding (unflooded), intermittent flooding (intermittent), and permanent flooding (flooded). Plants in the intermittent treatment were measured under both flooded and drained states and compared separately. In the greenhouse study, plants of all species maintained different leaf areas in the contrasting hydroperiods during both years. Assimilation&ndash;light response curves indicated that the different hydroperiods had little effect on leaf gas exchange characteristics in either seedlings or saplings. However, short-term intermittent flooding for between 6 and 22 days caused a 20% reduction in maximum leaf-level carbon assimilation rate, a 51% lower light requirement to attain 50% of maximum assimilation, and a 38% higher demand from dark respiration. Although interspecific differences were evident for nearly all measured parameters in both years, there was little consistency in ranking of the interspecific responses. Species by hydroperiod interactions were significant only for sapling leaf area. In a field study,&nbsp;</span><i>R. mangle</i><span>&nbsp;saplings along the Shark River in the Everglades National Park either demonstrated no significant effect or slight enhancement of carbon assimilation and water-use efficiency while flooded. We obtained little evidence that contrasting hydroperiods affect leaf gas exchange characteristics of mangrove seedlings or saplings over long time intervals; however, intermittent flooding may cause short-term depressions in leaf gas exchange. The resilience of mangrove systems to flooding, as demonstrated in the permanently flooded treatments, will likely promote photosynthetic and morphological adjustment to slight hydroperiod shifts in many settings.</span>.</p>","language":"English","publisher":"Heron Publishing","publisherLocation":"Victoria, Canada","doi":"10.1093/treephys/26.7.959","issn":"0829318X","usgsCitation":"Krauss, K.W., Twilley, R.R., Doyle, T.W., and Gardiner, E.S., 2006, Leaf gas exchange characteristics of three neotropical mangrove species in response to varying hydroperiod: Tree Physiology, v. 26, no. 7, p. 959-968, https://doi.org/10.1093/treephys/26.7.959.","productDescription":"10 p.","startPage":"959","endPage":"968","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":487571,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/treephys/26.7.959","text":"Publisher Index Page"},{"id":237163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a45ece4b0c8380cd67527","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":417014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":417016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":417013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardiner, Emile S.","contributorId":168576,"corporation":false,"usgs":false,"family":"Gardiner","given":"Emile","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":417015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70028159,"text":"70028159 - 2006 - Modeling the transport and inactivation of E. coli and enterococci in the near-shore region of Lake Michigan","interactions":[],"lastModifiedDate":"2016-05-06T11:56:12","indexId":"70028159","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the transport and inactivation of E. coli and enterococci in the near-shore region of Lake Michigan","docAbstract":"<p><span>To investigate the transport and fate of fecal pollution at Great Lakes beaches and the health risks associated with swimming, the near-shore waters of Lake Michigan and two tributaries discharging into it were examined for bacterial indicators of human fecal pollution. The enterococcus human fecal pollution marker, which targets a putative virulence factor</span><img class=\"privateChar\" src=\"http://pubs.acs.org/entityImage/legacy/sbd.gif\" alt=\"\" /><span>the enterococcal surface protein (esp) in&nbsp;</span><i>Enterococcus faecium</i><span>, was detected in 2/28 samples (7%) in the tributaries draining into Lake Michigan and in 6/30 samples (20%) in Lake Michigan beaches. This was indicative of human fecal pollution being transported in the tributaries and occurrence at Lake Michigan beaches. To understand the relative importance of different processes influencing pollution transport and inactivation, a finite-element model of surf-zone hydrodynamics (coupled with models for temperature,&nbsp;</span><i>E. coli</i><span>&nbsp;and enterococci) was used. Enterococci appear to survive longer than&nbsp;</span><i>E. coli</i><span>, which was described using an overall first-order inactivation coefficient in the range 0.5&minus;2.0 per day. Our analysis suggests that the majority of fecal indicator bacteria variation can be explained based on loadings from the tributaries. Sunlight is a major contributor to inactivation in the surf-zone and the formulation based on sunlight, temperature and sedimentation is preferred over the first-order inactivation formulation.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es060438k","issn":"0013936X","usgsCitation":"Liu, L., Phanikumar, M., Molloy, S., Whitman, R., Shively, D., Nevers, M., Schwab, D., and Rose, J., 2006, Modeling the transport and inactivation of E. coli and enterococci in the near-shore region of Lake Michigan: Environmental Science & Technology, v. 40, no. 16, p. 5022-5028, https://doi.org/10.1021/es060438k.","productDescription":"7 p.","startPage":"5022","endPage":"5028","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":237127,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210258,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es060438k"}],"volume":"40","issue":"16","noUsgsAuthors":false,"publicationDate":"2006-07-14","publicationStatus":"PW","scienceBaseUri":"505a5c54e4b0c8380cd6fbe1","contributors":{"authors":[{"text":"Liu, L.","contributorId":18481,"corporation":false,"usgs":true,"family":"Liu","given":"L.","email":"","affiliations":[],"preferred":false,"id":416833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phanikumar, M.S.","contributorId":83328,"corporation":false,"usgs":true,"family":"Phanikumar","given":"M.S.","affiliations":[],"preferred":false,"id":416839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Molloy, S.L.","contributorId":51527,"corporation":false,"usgs":true,"family":"Molloy","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":416835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, R.L.","contributorId":69750,"corporation":false,"usgs":true,"family":"Whitman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":416837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shively, D.A.","contributorId":78123,"corporation":false,"usgs":true,"family":"Shively","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":416838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nevers, M.B.","contributorId":13787,"corporation":false,"usgs":true,"family":"Nevers","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":416832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwab, D.J.","contributorId":23730,"corporation":false,"usgs":true,"family":"Schwab","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":416834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rose, J.B.","contributorId":60825,"corporation":false,"usgs":true,"family":"Rose","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":416836,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70028278,"text":"70028278 - 2006 - A 16-year time series of 1 km AVHRR satellite data of the conterminous United States and Alaska","interactions":[],"lastModifiedDate":"2017-04-11T09:55:16","indexId":"70028278","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A 16-year time series of 1 km AVHRR satellite data of the conterminous United States and Alaska","docAbstract":"<p>The U.S. Geological Survey (USGS) has developed a 16-year time series of vegetation condition information for the conterminous United States and Alaska using 1 km Advanced Very High Resolution Radiometer (AVHRR) data. The AVHRR data have been processed using consistent methods that account for radiometric variability due to calibration uncertainty, the effects of the atmosphere on surface radiometric measurements obtained from wide field-of-view observations, and the geometric registration accuracy. The conterminous United States and Alaska data sets have an atmospheric correction for water vapor, ozone, and Rayleigh scattering and include a cloud mask derived using the Clouds from AVHRR (CLAVR) algorithm. In comparison with other AVHRR time series data sets, the conterminous United States and Alaska data are processed using similar techniques. The primary difference is that the conterminous United States and Alaska data are at 1 km resolution, while others are at 8 km resolution. The time series consists of weekly and biweekly maximum normalized difference vegetation index (NDVI) composites.</p>","language":"English","publisher":"Ingenta","doi":"10.14358/PERS.72.9.1027","issn":"00991112","usgsCitation":"Eidenshink, J., 2006, A 16-year time series of 1 km AVHRR satellite data of the conterminous United States and Alaska: Photogrammetric Engineering and Remote Sensing, v. 72, no. 9, p. 1027-1035, https://doi.org/10.14358/PERS.72.9.1027.","productDescription":"9 p.","startPage":"1027","endPage":"1035","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":477448,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.72.9.1027","text":"Publisher Index Page"},{"id":236816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c9cb2ee4b08400b1fdb6dd","contributors":{"authors":[{"text":"Eidenshink, Jeff","contributorId":95156,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeff","affiliations":[],"preferred":false,"id":417366,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70028249,"text":"70028249 - 2006 - Adequacy of selected evapotranspiration approximations for hydrologic simulation","interactions":[],"lastModifiedDate":"2012-03-12T17:20:44","indexId":"70028249","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Adequacy of selected evapotranspiration approximations for hydrologic simulation","docAbstract":"Evapotranspiration (ET) approximations, usually based on computed potential ET (PET) and diverse PET-to-ET conceptualizations, are routinely used in hydrologic analyses. This study presents an approach to incorporate measured (actual) ET data, increasingly available using micrometeorological methods, to define the adequacy of ET approximations for hydrologic simulation. The approach is demonstrated at a site where eddy correlation-measured ET values were available. A baseline hydrologic model incorporating measured ET values was used to evaluate the sensitivity of simulated water levels, subsurface recharge, and surface runoff to error in four ET approximations. An annually invariant pattern of mean monthly vegetation coefficients was shown to be most effective, despite the substantial year-to-year variation in measured vegetation coefficients. The temporal variability of available water (precipitation minus ET) at the humid, subtropical site was largely controlled by the relatively high temporal variability of precipitation, benefiting the effectiveness of coarse ET approximations, a result that is likely to prevail at other humid sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2006.tb04486.x","issn":"1093474X","usgsCitation":"Sumner, D.M., 2006, Adequacy of selected evapotranspiration approximations for hydrologic simulation: Journal of the American Water Resources Association, v. 42, no. 3, p. 699-711, https://doi.org/10.1111/j.1752-1688.2006.tb04486.x.","startPage":"699","endPage":"711","numberOfPages":"13","costCenters":[],"links":[{"id":210099,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2006.tb04486.x"},{"id":236917,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-06-08","publicationStatus":"PW","scienceBaseUri":"5059e6f3e4b0c8380cd47748","contributors":{"authors":[{"text":"Sumner, D. M.","contributorId":100827,"corporation":false,"usgs":true,"family":"Sumner","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":417229,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70028438,"text":"70028438 - 2006 - Role of transient water pressure in quarrying: A subglacial experiment using acoustic emissions","interactions":[],"lastModifiedDate":"2012-03-12T17:20:44","indexId":"70028438","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"Role of transient water pressure in quarrying: A subglacial experiment using acoustic emissions","docAbstract":"Probably the most important mechanism of glacial erosion is quarrying: the growth and coalescence of cracks in subglacial bedrock and dislodgement of resultant rock fragments. Although evidence indicates that erosion rates depend on sliding speed, rates of crack growth in bedrock may be enhanced by changing stresses on the bed caused by fluctuating basal water pressure in zones of ice-bed separation. To study quarrying in real time, a granite step, 12 cm high with a crack in its stoss surface, was installed at the bed of Engabreen, Norway. Acoustic emission sensors monitored crack growth events in the step as ice slid over it. Vertical stresses, water pressure, and cavity height in the lee of the step were also measured. Water was pumped to the lee of the step several times over 8 days. Pumping initially caused opening of a leeward cavity, which then closed after pumping was stopped and water pressure decreased. During cavity closure, acoustic emissions emanating mostly from the vicinity of the base of the crack in the step increased dramatically. With repeated pump tests this crack grew with time until the step's lee surface was quarried. Our experiments indicate that fluctuating water pressure caused stress thresholds required for crack growth to be exceeded. Natural basal water pressure fluctuations should also concentrate stresses on rock steps, increasing rates of crack growth. Stress changes on the bed due to water pressure fluctuations will increase in magnitude and duration with cavity size, which may help explain the effect of sliding speed on erosion rates. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005JF000439","issn":"01480227","usgsCitation":"Cohen, D., Hooyer, T., Iverson, N., Thomason, J., and Jackson, M., 2006, Role of transient water pressure in quarrying: A subglacial experiment using acoustic emissions: Journal of Geophysical Research F: Earth Surface, v. 111, no. 3, https://doi.org/10.1029/2005JF000439.","costCenters":[],"links":[{"id":477521,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005jf000439","text":"Publisher Index Page"},{"id":210275,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005JF000439"},{"id":237146,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-08-05","publicationStatus":"PW","scienceBaseUri":"505aae73e4b0c8380cd870d7","contributors":{"authors":[{"text":"Cohen, D.","contributorId":108299,"corporation":false,"usgs":true,"family":"Cohen","given":"D.","email":"","affiliations":[],"preferred":false,"id":418052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooyer, T.S.","contributorId":83242,"corporation":false,"usgs":true,"family":"Hooyer","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":418051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iverson, N.R.","contributorId":19682,"corporation":false,"usgs":true,"family":"Iverson","given":"N.R.","email":"","affiliations":[],"preferred":false,"id":418049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomason, J.F.","contributorId":11745,"corporation":false,"usgs":true,"family":"Thomason","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":418048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, M.","contributorId":59199,"corporation":false,"usgs":true,"family":"Jackson","given":"M.","email":"","affiliations":[],"preferred":false,"id":418050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70028097,"text":"70028097 - 2006 - Multiple baseline radar interferometry applied to coastal land cover classification and change analyses","interactions":[],"lastModifiedDate":"2015-08-27T13:42:18","indexId":"70028097","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multiple baseline radar interferometry applied to coastal land cover classification and change analyses","docAbstract":"<p>ERS-1 and ERS-2 SAR data were collected in tandem over a four-month period and used to generate interferometric coherence, phase, and intensity products that we compared to a classified land cover coastal map of Big Bend, Florida. Forests displayed the highest intensity, and marshes the lowest. The intensity for fresh marsh and forests progressively shifted while saline marsh intensity variance distribution changed with the season. Intensity variability suggested instability between temporal comparisons. Forests, especially hardwoods, displayed lower coherences and marshes higher. Only marshes retained coherence after 70 days. Coherence was more responsive to land cover class than intensity and provided discrimination in winter. Phase distributions helped reveal variation in vegetation structure, identify broad land cover classes and unique within-class variations, and estimate water-level changes. Copyright ?? 2006 by V. H. Winston &amp; Son, Inc. All rights reserved.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.2747/1548-1603.43.4.283","issn":"15481603","usgsCitation":"Ramsey, E., Lu, Z., Rangoonwala, A., and Rykhus, R., 2006, Multiple baseline radar interferometry applied to coastal land cover classification and change analyses: GIScience and Remote Sensing, v. 43, no. 4, p. 283-309, https://doi.org/10.2747/1548-1603.43.4.283.","startPage":"283","endPage":"309","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":486882,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.43.4.283","text":"Publisher Index Page"},{"id":237124,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505a6061e4b0c8380cd713f4","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":416516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":416518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rangoonwala, A. 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":95248,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":416517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rykhus, Russ","contributorId":53575,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russ","email":"","affiliations":[],"preferred":false,"id":416515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70028261,"text":"70028261 - 2006 - Modeling the probability of arsenic in groundwater in New England as a tool for exposure assessment","interactions":[],"lastModifiedDate":"2012-03-12T17:20:43","indexId":"70028261","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the probability of arsenic in groundwater in New England as a tool for exposure assessment","docAbstract":"We developed a process-based model to predict the probability of arsenic exceeding 5 ??g/L in drinking water wells in New England bedrock aquifers. The model is being used for exposure assessment in an epidemiologic study of bladder cancer. One important study hypothesis that may explain increased bladder cancer risk is elevated concentrations of inorganic arsenic in drinking water. In eastern New England, 20-30% of private wells exceed the arsenic drinking water standard of 10 micrograms per liter. Our predictive model significantly improves the understanding of factors associated with arsenic contamination in New England. Specific rock types, high arsenic concentrations in stream sediments, geochemical factors related to areas of Pleistocene marine inundation and proximity to intrusive granitic plutons, and hydrologic and landscape variables relating to groundwater residence time increase the probability of arsenic occurrence in groundwater. Previous studies suggest that arsenic in bedrock groundwater may be partly from past arsenical pesticide use. Variables representing historic agricultural inputs do not improve the model, indicating that this source does not significantly contribute to current arsenic concentrations. Due to the complexity of the fractured bedrock aquifers in the region, well depth and related variables also are not significant predictors. ?? 2006 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es051972f","issn":"0013936X","usgsCitation":"Ayotte, J., Nolan, B.T., Nuckols, J., Cantor, K., Robinson, G., Baris, D., Hayes, L., Karagas, M., Bress, W., Silverman, D., and Lubin, J., 2006, Modeling the probability of arsenic in groundwater in New England as a tool for exposure assessment: Environmental Science & Technology, v. 40, no. 11, p. 3578-3585, https://doi.org/10.1021/es051972f.","startPage":"3578","endPage":"3585","numberOfPages":"8","costCenters":[],"links":[{"id":210266,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es051972f"},{"id":237135,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"11","noUsgsAuthors":false,"publicationDate":"2006-04-25","publicationStatus":"PW","scienceBaseUri":"505a5c4de4b0c8380cd6fba6","contributors":{"authors":[{"text":"Ayotte, J. D.","contributorId":96667,"corporation":false,"usgs":true,"family":"Ayotte","given":"J. D.","affiliations":[],"preferred":false,"id":417287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, B. T.","contributorId":21565,"corporation":false,"usgs":true,"family":"Nolan","given":"B.","email":"","middleInitial":"T.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":417283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nuckols, J.R.","contributorId":85385,"corporation":false,"usgs":true,"family":"Nuckols","given":"J.R.","affiliations":[],"preferred":false,"id":417286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cantor, K.P.","contributorId":11401,"corporation":false,"usgs":true,"family":"Cantor","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":417281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, G.R. Jr. 0000-0002-9676-9564","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":6444,"corporation":false,"usgs":true,"family":"Robinson","given":"G.R.","suffix":"Jr.","affiliations":[],"preferred":false,"id":417280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baris, D.","contributorId":68092,"corporation":false,"usgs":true,"family":"Baris","given":"D.","email":"","affiliations":[],"preferred":false,"id":417285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, L.","contributorId":98938,"corporation":false,"usgs":true,"family":"Hayes","given":"L.","affiliations":[],"preferred":false,"id":417288,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karagas, M.","contributorId":30428,"corporation":false,"usgs":true,"family":"Karagas","given":"M.","email":"","affiliations":[],"preferred":false,"id":417284,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bress, W.","contributorId":100179,"corporation":false,"usgs":true,"family":"Bress","given":"W.","affiliations":[],"preferred":false,"id":417289,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Silverman, D.T.","contributorId":104275,"corporation":false,"usgs":true,"family":"Silverman","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":417290,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lubin, J.H.","contributorId":14184,"corporation":false,"usgs":true,"family":"Lubin","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":417282,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70028072,"text":"70028072 - 2006 - Hurricanes, submarine groundwater discharge, and Florida's red tides","interactions":[],"lastModifiedDate":"2012-03-12T17:20:51","indexId":"70028072","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hurricanes, submarine groundwater discharge, and Florida's red tides","docAbstract":"A Karenia brevis Harmful Algal Bloom affected coastal waters shallower than 50 m off west-central Florida from January 2005 through January 2006, showing a sustained anomaly of ???1 mg chlorophyll m-3 over an area of up to 67,500 km2. Red tides occur in the same area (approximately 26-29??N, 82-83??W) almost every year, but the intense 2005 bloom led to a widespread hypoxic zone (dissolved oxygen <2 mg L-1) that caused mortalities of benthic communities, fish, turtles, birds, and marine mammals. Runoff alone provided insufficient nitrogen to support this bloom. We pose the hypothesis that submarine groundwater discharge (SGD) provides the missing nutrients, and indeed can trigger and support the recurrent red tides off west-central Florida. SGD inputs of dissolved inorganic nitrogen (DIN) in Tampa Bay alone are ???35% of that discharged by all central Florida rivers draining west combined. We propose that the unusual number of hurricanes in 2004 resulted in high runoff, and in higher than normal SGD emerging along the west Florida coast throughout 2005, initiating and fueling the persistent HAB. This mechanism may also explain recurrent red tides in other coastal regions of the Gulf of Mexico. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005GL025449","issn":"00948276","usgsCitation":"Hu, C., Muller-Karger, F., and Swarzenski, P., 2006, Hurricanes, submarine groundwater discharge, and Florida's red tides: Geophysical Research Letters, v. 33, no. 11, https://doi.org/10.1029/2005GL025449.","costCenters":[],"links":[{"id":477369,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005gl025449","text":"Publisher Index Page"},{"id":237295,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210391,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005GL025449"}],"volume":"33","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a32bae4b0c8380cd5ea1e","contributors":{"authors":[{"text":"Hu, C.","contributorId":75748,"corporation":false,"usgs":true,"family":"Hu","given":"C.","email":"","affiliations":[],"preferred":false,"id":416413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muller-Karger, F. E.","contributorId":84542,"corporation":false,"usgs":true,"family":"Muller-Karger","given":"F. E.","affiliations":[],"preferred":false,"id":416414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":416412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70028260,"text":"70028260 - 2006 - River size and fish assemblages in southwestern South Dakota","interactions":[],"lastModifiedDate":"2013-02-24T11:35:42","indexId":"70028260","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1859,"text":"Great Plains Research","active":true,"publicationSubtype":{"id":10}},"title":"River size and fish assemblages in southwestern South Dakota","docAbstract":"We studied relations between river size, fish species diversity, and fish species composition along four major rivers in the Great Plains of southwestern South Dakota to assess patterns of species diversity and composition. We expected diversity to increase with river size and fish composition to change via species addition downstream. Previous surveys of 52 sampling stations provided fish assemblage data, and we used the Geographic Information System (GIS) to determine watershed area by station. Watershed area did not predict species richness or species diversity (Fisher's ??), so species richness of 12 ?? 3.5 SD species and Fisher's ?? of 2.3 ?? 0.87 SD characterized species diversity in the study area. Cluster analysis of faunal similarity (S??rensen's Index) among the 52 sampling stations identified two geographically distinct faunal divisions, so species composition was variable within the study area, but changed via species replacements among faunas rather than species additions downstream. Nonnative species were a minor component of all faunas. Uniform species diversity may be a recent phenomenon caused by impacts of Missouri River dams on native large-river fishes and the unsuitability of rivers in the Great Plains for nonnative species. Variation in faunal composition may also be recent because it was affected by dams. ?? Copyright by the Center for Great Plains Studies, University of Nebraska-Lincoln.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Great Plains Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10525165","usgsCitation":"Hoagstrom, C., Wall, S., Duehr, J., and Berry, C.R., 2006, River size and fish assemblages in southwestern South Dakota: Great Plains Research, v. 16, no. 2, p. 117-126.","startPage":"117","endPage":"126","numberOfPages":"10","costCenters":[],"links":[{"id":237098,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268120,"type":{"id":11,"text":"Document"},"url":"https://digitalcommons.unl.edu/greatplainsresearch/845/"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aadb7e4b0c8380cd86f69","contributors":{"authors":[{"text":"Hoagstrom, C.W.","contributorId":11400,"corporation":false,"usgs":true,"family":"Hoagstrom","given":"C.W.","affiliations":[],"preferred":false,"id":417276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wall, S.S.","contributorId":36721,"corporation":false,"usgs":true,"family":"Wall","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":417277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duehr, J.P.","contributorId":86162,"corporation":false,"usgs":true,"family":"Duehr","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":417279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, C. R. Jr.","contributorId":39167,"corporation":false,"usgs":true,"family":"Berry","given":"C.","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":417278,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70028070,"text":"70028070 - 2006 - Flooding on California's Russian River: Role of atmospheric rivers","interactions":[],"lastModifiedDate":"2016-07-27T13:14:53","indexId":"70028070","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Flooding on California's Russian River: Role of atmospheric rivers","docAbstract":"<p>Experimental observations collected during meteorological field studies conducted by the National Oceanic and Atmospheric Administration near the Russian River of coastal northern California are combined with SSM/I satellite observations offshore to examine the role of landfalling atmospheric rivers in the creation of flooding. While recent studies have documented the characteristics and importance of narrow regions of strong meridional water vapor transport over the eastern Pacific Ocean (recently referred to as atmospheric rivers), this study describes their impact when they strike the U.S. West Coast. A detailed case study is presented, along with an assessment of all 7 floods on the Russian River since the experimental data were first available in October 1997. In all 7 floods, atmospheric river conditions were present and caused heavy rainfall through orographic precipitation. Not only do atmospheric rivers play a crucial role in the global water budget, they can also lead to heavy coastal rainfall and flooding, and thus represent a key phenomenon linkingweather and climate. Copyright 2006 by the American Geophysical Union.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2006GL026689","issn":"00948276","usgsCitation":"Ralph, F., Neiman, P., Wick, G., Gutman, S., Dettinger, M.D., Cayan, D., and White, A., 2006, Flooding on California's Russian River: Role of atmospheric rivers: Geophysical Research Letters, v. 33, no. 13, https://doi.org/10.1029/2006GL026689.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":487562,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006gl026689","text":"Publisher Index Page"},{"id":237259,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210363,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006GL026689"}],"volume":"33","issue":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1188e4b0c8380cd54018","contributors":{"authors":[{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":416406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":416402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wick, G.A.","contributorId":22958,"corporation":false,"usgs":true,"family":"Wick","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":416403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gutman, S.I.","contributorId":25748,"corporation":false,"usgs":true,"family":"Gutman","given":"S.I.","email":"","affiliations":[],"preferred":false,"id":416404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":416408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":416405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, A.B.","contributorId":45878,"corporation":false,"usgs":true,"family":"White","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":416407,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":1001072,"text":"1001072 - 2006 - Modeling wetland plant community response to assess water-level regulation scenarios in the Lake Ontario-St. Lawrence River basin","interactions":[],"lastModifiedDate":"2016-05-09T10:45:38","indexId":"1001072","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Modeling wetland plant community response to assess water-level regulation scenarios in the Lake Ontario-St. Lawrence River basin","docAbstract":"<p>The International Joint Commission has recently completed a five-year study (2000-2005) to review the operation of structures controlling the flows and levels of the Lake Ontario - St. Lawrence River system. In addition to addressing the multitude of stakeholder interests, the regulation plan review also considers environmental sustainability and integrity of wetlands and various ecosystem components. The present paper outlines the general approach, scientific methodology and applied management considerations of studies quantifying the relationships between hydrology and wetland plant assemblages (% occurrence, surface area) in Lake Ontario and the Upper and Lower St. Lawrence River. Although similar study designs were used across the study region, different methodologies were required that were specifically adapted to suit the important regional differences between the lake and river systems, range in water-level variations, and confounding factors (geomorphic types, exposure, sediment characteristics, downstream gradient of water quality, origin of water masses in the Lower River). Performance indicators (metrics), such as total area of wetland in meadow marsh vegetation type, that link wetland response to water levels will be used to assess the effects of different regulation plans under current and future (climate change) water-supply scenarios.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-005-9086-4","usgsCitation":"Hudon, C., Wilcox, D., and Ingram, J., 2006, Modeling wetland plant community response to assess water-level regulation scenarios in the Lake Ontario-St. Lawrence River basin: Environmental Monitoring and Assessment, v. 113, no. 1-3, p. 303-328, https://doi.org/10.1007/s10661-005-9086-4.","productDescription":"26 p.","startPage":"303","endPage":"328","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":477564,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/20.500.12648/2305","text":"External Repository"},{"id":133564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2006-02-24","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69976f","contributors":{"authors":[{"text":"Hudon, Christiane","contributorId":80632,"corporation":false,"usgs":true,"family":"Hudon","given":"Christiane","email":"","affiliations":[],"preferred":false,"id":310395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, Douglas","contributorId":72764,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas","affiliations":[],"preferred":false,"id":310394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingram, Joel","contributorId":65046,"corporation":false,"usgs":true,"family":"Ingram","given":"Joel","affiliations":[],"preferred":false,"id":310393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031169,"text":"70031169 - 2006 - Odontomariinae, a new middle paleozoic subfamily of slit-bearing euophaloidean gastropods (Euophalomorpha, Gastropoda)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:18","indexId":"70031169","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2855,"text":"Neues Jahrbuch fur Geologie und Palaontologie - Monatshefte","active":true,"publicationSubtype":{"id":10}},"title":"Odontomariinae, a new middle paleozoic subfamily of slit-bearing euophaloidean gastropods (Euophalomorpha, Gastropoda)","docAbstract":"A new subfamily, the Odontomariinae subfam. nov., is established herein for a distinctive group of uncoiled, slit-bearing Middle Devonian euomphalid gastropods. Its taxonomic position is based on the recent discovery of open coiled protoconchs and it is placed within the Euomphalomorpha. The genera Odontomaria Odontomaria C. F. Roemer and Tubiconcha n. gen. belonging to this new subfamily are enlarged based on studies on new material of the following species: Odontomaria semiplicata (Sandberger & Sandberger), Odontomaria gracilis n. sp., Odontomaria jankei n. sp., Odontomaria cheeneetnukensis n. sp., Odontomaria cindiprellerae n. sp. and Tubiconcha leunissi (Heidelberger, 2001). Members of the Odontomariinae were mainly sedentary organisms in high-energy, moderately shallow water. ?? 2006 E. Schweizerbart'sche Verlagsbuchhandlung.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Neues Jahrbuch fur Geologie und Palaontologie - Monatshefte","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00283630","usgsCitation":"Fryda, J., Heidelberger, D., and Blodgett, R.B., 2006, Odontomariinae, a new middle paleozoic subfamily of slit-bearing euophaloidean gastropods (Euophalomorpha, Gastropoda): Neues Jahrbuch fur Geologie und Palaontologie - Monatshefte, no. 4, p. 225-248.","startPage":"225","endPage":"248","numberOfPages":"24","costCenters":[],"links":[{"id":238692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6ca4e4b0c8380cd74d3a","contributors":{"authors":[{"text":"Fryda, J.","contributorId":105140,"corporation":false,"usgs":true,"family":"Fryda","given":"J.","email":"","affiliations":[],"preferred":false,"id":430346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heidelberger, D.","contributorId":48455,"corporation":false,"usgs":true,"family":"Heidelberger","given":"D.","email":"","affiliations":[],"preferred":false,"id":430345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blodgett, R. B.","contributorId":25176,"corporation":false,"usgs":true,"family":"Blodgett","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":430344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1001078,"text":"1001078 - 2006 - Recruitment of Hexagenia mayfly nymphs in western Lake Erie linked to environmental variability","interactions":[],"lastModifiedDate":"2016-05-09T09:35:33","indexId":"1001078","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment of Hexagenia mayfly nymphs in western Lake Erie linked to environmental variability","docAbstract":"<p>After a 40-year absence caused by pollution and eutrophication, burrowing mayflies (Hexagenia spp.) recolonized western Lake Erie in the mid 1990s as water quality improved. Mayflies are an important food resource for the economically valuable yellow perch fishery and are considered to be major indicator species of the ecological condition of the lake. Since their reappearance, however, mayfly populations have suffered occasional unexplained recruitment failures. In 2002, a failure of fall recruitment followed an unusually warm summer in which western Lake Erie became temporarily stratified, resulting in low dissolved oxygen levels near the lake floor. In the present study, we examined a possible link between Hexagenia recruitment and periods of intermittent stratification for the years 1997-2002. A simple model was developed using surface temperature, wind speed, and water column data from 2003 to predict stratification. The model was then used to detect episodes of stratification in past years for which water column data are unavailable. Low or undetectable mayfly recruitment occurred in 1997 and 2002, years in which there was frequent or extended stratification between June and September. Highest mayfly reproduction in 2000 corresponded to the fewest stratified periods. These results suggest that even relatively brief periods of stratification can result in loss of larval mayfly recruitment, probably through the effects of hypoxia. A trend toward increasing frequency of hot summers in the Great Lakes region could result in recurrent loss of mayfly larvae in western Lake Erie and other shallow areas in the Great Lakes.</p>","language":"English","publisher":"Wiley","doi":"10.1890/1051-0761(2006)016[0601:ROHMNI]2.0.CO;2","usgsCitation":"Bridgeman, T., Schloesser, D.W., and Krause, A.E., 2006, Recruitment of Hexagenia mayfly nymphs in western Lake Erie linked to environmental variability: Ecological Applications, v. 16, no. 2, p. 601-611, https://doi.org/10.1890/1051-0761(2006)016[0601:ROHMNI]2.0.CO;2.","productDescription":"11 p.","startPage":"601","endPage":"611","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":128619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6966ec","contributors":{"authors":[{"text":"Bridgeman, Thomas B.","contributorId":27394,"corporation":false,"usgs":true,"family":"Bridgeman","given":"Thomas B.","affiliations":[],"preferred":false,"id":310414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":310413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Ann E.","contributorId":9201,"corporation":false,"usgs":true,"family":"Krause","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":310412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1001073,"text":"1001073 - 2006 - Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations","interactions":[],"lastModifiedDate":"2012-02-02T00:04:44","indexId":"1001073","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations","docAbstract":"Stock-recruit models typically use only spawning stock size as a predictor of recruitment to a fishery. In this paper, however, we used spawning stock size as well as larval density and key environmental variables to predict recruitment of white crappies Pomoxis annularis and black crappies P. nigromaculatus, a genus notorious for variable recruitment. We sampled adults and recruits from 11 Ohio reservoirs and larvae from 9 reservoirs during 1998-2001. We sampled chlorophyll as an index of reservoir productivity and obtained daily estimates of water elevation to determine the impact of hydrology on recruitment. Akaike's information criterion (AIC) revealed that Ricker and Beverton-Holt stock-recruit models that included chlorophyll best explained the variation in larval density and age-2 recruits. Specifically, spawning stock catch per effort (CPE) and chlorophyll explained 63-64% of the variation in larval density. In turn, larval density and chlorophyll explained 43-49% of the variation in age-2 recruit CPE. Finally, spawning stock CPE and chlorophyll were the best predictors of recruit CPE (i.e., 74-86%). Although larval density and recruitment increased with chlorophyll, neither was related to seasonal water elevation. Also, the AIC generally did not distinguish between Ricker and Beverton-Holt models. From these relationships, we concluded that crappie recruitment can be limited by spawning stock CPE and larval production when spawning stock sizes are low (i.e., CPE , 5 crappies/net-night). At higher levels of spawning stock sizes, spawning stock CPE and recruitment were less clearly related. To predict recruitment in Ohio reservoirs, managers should assess spawning stock CPE with trap nets and estimate chlorophyll concentrations. To increase crappie recruitment in reservoirs where recruitment is consistently poor, managers should use regulations to increase spawning stock size, which, in turn, should increase larval production and recruits to the fishery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Bunnell, D., Hale, R.S., Vanni, M., and Stein, R., 2006, Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations: North American Journal of Fisheries Management, v. 26, no. 1, p. 1-12.","productDescription":"p. 1-12","startPage":"1","endPage":"12","numberOfPages":"11","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133662,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cae6","contributors":{"authors":[{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":310396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hale, R. Scott","contributorId":104868,"corporation":false,"usgs":true,"family":"Hale","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":310399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanni, Michael J.","contributorId":49756,"corporation":false,"usgs":true,"family":"Vanni","given":"Michael J.","affiliations":[],"preferred":false,"id":310398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stein, Roy A.","contributorId":21494,"corporation":false,"usgs":true,"family":"Stein","given":"Roy A.","affiliations":[],"preferred":false,"id":310397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70030778,"text":"70030778 - 2006 - Phylogeography, phylogeny and hybridization in trichechid sirenians: Implications for manatee conservation","interactions":[],"lastModifiedDate":"2020-09-25T15:04:01.326936","indexId":"70030778","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeography, phylogeny and hybridization in trichechid sirenians: Implications for manatee conservation","docAbstract":"<p><span>The three living species of manatees, West Indian (</span><i>Trichechus manatus</i><span>), Amazonian (</span><i>Trichechus inunguis</i><span>) and West African (</span><i>Trichechus senegalensis</i><span>), are distributed across the shallow tropical and subtropical waters of America and the western coast of Africa. We have sequenced the mitochondrial DNA control region in 330&nbsp;</span><i>Trichechus</i><span>&nbsp;to compare their phylogeographic patterns. In&nbsp;</span><i>T</i><span>.&nbsp;</span><i>manatus</i><span>&nbsp;we observed a marked population structure with the identification of three haplotype clusters showing a distinct spatial distribution. A geographic barrier represented by the continuity of the Lesser Antilles to Trinidad Island, near the mouth of the Orinoco River in Venezuela, appears to have restricted the gene flow historically in&nbsp;</span><i>T</i><span>.&nbsp;</span><i>manatus</i><span>. However, for&nbsp;</span><i>T. inunguis</i><span>&nbsp;we observed a single expanding population cluster, with a high diversity of very closely related haplotypes. A marked geographic population structure is likely present in&nbsp;</span><i>T</i><span>.&nbsp;</span><i>senegalensis</i><span>&nbsp;with at least two distinct clusters. Phylogenetic analyses with the mtDNA cytochrome&nbsp;</span><i>b</i><span>&nbsp;gene suggest a clade of the marine&nbsp;</span><i>Trichechus</i><span>&nbsp;species, with&nbsp;</span><i>T</i><span>.&nbsp;</span><i>inunguis</i><span>&nbsp;as the most basal trichechid. This is in agreement with previous morphological analyses. Mitochondrial DNA, autosomal microsatellites and cytogenetic analyses revealed the presence of hybrids between the&nbsp;</span><i>T</i><span>.&nbsp;</span><i>manatus</i><span>&nbsp;and&nbsp;</span><i>T</i><span>.&nbsp;</span><i>inunguis</i><span>&nbsp;species at the mouth of the Amazon River in Brazil, extending to the Guyanas and probably as far as the mouth of the Orinoco River. Future conservation strategies should consider the distinct population structure of manatee species, as well as the historical barriers to gene flow and the likely occurrence of interspecific hybridization.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-294X.2005.02771.x","usgsCitation":"Vianna, J.A., Bonde, R.K., Caballero, S., Giraldo, J.P., Lima, R.P., Clark, A., Marmontel, M., Morales-Vela, B., De Souza, M.J., Parr, L., Rodriguez-Lopez, M.A., Mignucci-Giannoni, A.A., Powell, J.A., and Santos, F.R., 2006, Phylogeography, phylogeny and hybridization in trichechid sirenians: Implications for manatee conservation: Molecular Ecology, v. 15, no. 2, p. 433-447, https://doi.org/10.1111/j.1365-294X.2005.02771.x.","productDescription":"15 p.","startPage":"433","endPage":"447","numberOfPages":"15","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":238922,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-01-09","publicationStatus":"PW","scienceBaseUri":"505a7a63e4b0c8380cd78ea1","contributors":{"authors":[{"text":"Vianna, J. A.","contributorId":23905,"corporation":false,"usgs":false,"family":"Vianna","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":428631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caballero, S.","contributorId":86734,"corporation":false,"usgs":false,"family":"Caballero","given":"S.","email":"","affiliations":[],"preferred":false,"id":428634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, J. P.","contributorId":30591,"corporation":false,"usgs":false,"family":"Giraldo","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":428625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lima, R. P.","contributorId":99948,"corporation":false,"usgs":false,"family":"Lima","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":428636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, A.","contributorId":50476,"corporation":false,"usgs":false,"family":"Clark","given":"A.","affiliations":[],"preferred":false,"id":428630,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marmontel, M.","contributorId":37671,"corporation":false,"usgs":false,"family":"Marmontel","given":"M.","affiliations":[],"preferred":false,"id":428627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morales-Vela, B.","contributorId":32481,"corporation":false,"usgs":false,"family":"Morales-Vela","given":"B.","email":"","affiliations":[],"preferred":false,"id":428626,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Souza, M. J.","contributorId":79288,"corporation":false,"usgs":false,"family":"De Souza","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":428633,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parr, L.","contributorId":38947,"corporation":false,"usgs":false,"family":"Parr","given":"L.","email":"","affiliations":[],"preferred":false,"id":428628,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodriguez-Lopez, M. A.","contributorId":99523,"corporation":false,"usgs":false,"family":"Rodriguez-Lopez","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428635,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mignucci-Giannoni, A. A.","contributorId":11351,"corporation":false,"usgs":false,"family":"Mignucci-Giannoni","given":"A.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428623,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Powell, J. A.","contributorId":69916,"corporation":false,"usgs":false,"family":"Powell","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428632,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Santos, F. R.","contributorId":42567,"corporation":false,"usgs":false,"family":"Santos","given":"F.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":428629,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70030681,"text":"70030681 - 2006 - Limestone fluidized bed treatment of acid-impacted water at the Craig Brook National Fish Hatchery, Maine, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:15","indexId":"70030681","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Limestone fluidized bed treatment of acid-impacted water at the Craig Brook National Fish Hatchery, Maine, USA","docAbstract":"Decades of atmospheric acid deposition have resulted in widespread lake and river acidification in the northeastern U.S. Biological effects of acidification include increased mortality of sensitive aquatic species such as the endangered Atlantic salmon (Salmo salar). The purpose of this paper is to describe the development of a limestone-based fluidized bed system for the treatment of acid-impacted waters. The treatment system was tested at the Craig Brook National Fish Hatchery in East Orland, Maine over a period of 3 years. The product water from the treatment system was diluted with hatchery water to prepare water supplies with three different levels of alkalinity for testing of fish health and survival. Based on positive results from a prototype system used in the first year of the study, a larger demonstration system was used in the second and third years with the objective of decreasing operating costs. Carbon dioxide was used to accelerate limestone dissolution, and was the major factor in system performance, as evidenced by the model result: Alk = 72.84 ?? P(CO2)1/2; R2 = 0.975. No significant acidic incursions were noted for the control water over the course of the study. Had these incursions occurred, survivability in the untreated water would likely have been much more severely impacted. Treated water consistently provided elevated alkalinity and pH above that of the hatchery source water. ?? 2005 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquacultural Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.aquaeng.2005.05.003","issn":"01448609","usgsCitation":"Sibrell, P., Watten, B., Haines, T., and Spaulding, B., 2006, Limestone fluidized bed treatment of acid-impacted water at the Craig Brook National Fish Hatchery, Maine, USA: Aquacultural Engineering, v. 34, no. 2, p. 61-71, https://doi.org/10.1016/j.aquaeng.2005.05.003.","startPage":"61","endPage":"71","numberOfPages":"11","costCenters":[],"links":[{"id":487586,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquaeng.2005.05.003","text":"Publisher Index Page"},{"id":239499,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212081,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaeng.2005.05.003"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4785e4b0c8380cd678a8","contributors":{"authors":[{"text":"Sibrell, P.L.","contributorId":13343,"corporation":false,"usgs":true,"family":"Sibrell","given":"P.L.","affiliations":[],"preferred":false,"id":428195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watten, B.J. 0000-0002-2227-8623","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":11537,"corporation":false,"usgs":true,"family":"Watten","given":"B.J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":428194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, T.A.","contributorId":83062,"corporation":false,"usgs":true,"family":"Haines","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":428196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spaulding, B.W.","contributorId":107098,"corporation":false,"usgs":true,"family":"Spaulding","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":428197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79397,"text":"ofr20061314 - 2006 - Defining ecosystem flow requirements for the Bill Williams River, Arizona","interactions":[],"lastModifiedDate":"2016-04-25T14:25:53","indexId":"ofr20061314","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"2006-1314","title":"Defining ecosystem flow requirements for the Bill Williams River, Arizona","docAbstract":"<p>Alteration of natural river flows resulting from the construction and operation of dams can result in substantial changes to downstream aquatic and bottomland ecosystems and undermine the long-term health of native species and communities (for general review, cf. Ward and Stanford, 1995; Baron and others, 2002; Nilsson and Svedmark, 2002). Increasingly, land and water managers are seeking ways to manage reservoir releases to produce flow regimes that simultaneously meet human needs and maintain the health and sustainability of downstream biotaa.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061314","usgsCitation":"2006, Defining ecosystem flow requirements for the Bill Williams River, Arizona: U.S. Geological Survey Open-File Report 2006-1314, ix, 135 p., https://doi.org/10.3133/ofr20061314.","productDescription":"ix, 135 p.","numberOfPages":"144","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":190716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061314.PNG"},{"id":320227,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1314/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Bill Williams River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.9666748046875,\n              34.116352469972746\n            ],\n            [\n              -113.9666748046875,\n              35.34425514918409\n            ],\n            [\n              -112.65380859375,\n              35.34425514918409\n            ],\n            [\n              -112.65380859375,\n              34.116352469972746\n            ],\n            [\n              -113.9666748046875,\n              34.116352469972746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db67253b","contributors":{"editors":[{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":627610,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beauchamp, Vanessa B.","contributorId":39468,"corporation":false,"usgs":true,"family":"Beauchamp","given":"Vanessa","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":627611,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":79396,"text":"ofr20061249 - 2006 - Assessment of factors limiting Klamath River fall Chinook salmon production potential using historical flows and temperatures","interactions":[],"lastModifiedDate":"2016-04-25T14:43:11","indexId":"ofr20061249","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"2006-1249","title":"Assessment of factors limiting Klamath River fall Chinook salmon production potential using historical flows and temperatures","docAbstract":"<p>We parameterized and applied a deterministic salmon production model to infer the degree to which river flows and temperatures may limit freshwater production potential of the Klamath River in California. Specific parameter requirements, data sources, and significant assumptions are discussed in detail. Model simulations covered a wide variety of historical hydrologic and meteorologic conditions for 40+ years of environmental data.</p>\n<p>The model was calibrated only qualitatively, appearing to perform well in predicted outmigrant timing, but overestimating growth. Egg-to-outmigrant survival was near that reported for other rivers north of the Klamath River.</p>\n<p>Predicted production potential appeared to be determined by multiple causes involving both regularly occurring habitat-related constraints and irregularly occurring exposure to high water temperatures. Simulated production was greatest in years of intermediate water availability and was constrained in both dry and wet years, but for different reasons. Reducing mortality associated with limitations to juvenile habitat, if possible, would be expected to have the highest payoff in increasing production. Water temperature was important in determining predicted production in some years but overall was not predicted to be as important as physical microhabitat. No single mortality cause acted as a true &ldquo;bottleneck&rdquo; on production.</p>\n<p>Model uncertainty is addressed through a sensitivity analysis. Predicted habitat area may be a large source of model uncertainty and sensitivity, but collectively, model parameters associated with timing of events (for example spawning, fry emergence, and emigration) or related triggers control much of the model sensitivity.</p>\n<p>&nbsp;</p>\n<p>Though model uncertainty remains, one can begin to explore potential alternatives to reduce production limitations. Specific recommendations are made regarding future study and reducing uncertainty.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061249","usgsCitation":"Bartholow, J.M., and Henriksen, J.A., 2006, Assessment of factors limiting Klamath River fall Chinook salmon production potential using historical flows and temperatures: U.S. Geological Survey Open-File Report 2006-1249, viii, 111 p., https://doi.org/10.3133/ofr20061249.","productDescription":"viii, 111 p.","numberOfPages":"119","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":192187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061249.PNG"},{"id":320228,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1249/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.03015136718749,\n              41.253032440653186\n            ],\n            [\n              -123.255615234375,\n              40.371658891506094\n            ],\n            [\n              -122.9644775390625,\n              40.3130432088809\n            ],\n            [\n              -122.728271484375,\n              40.772221877329024\n            ],\n            [\n              -122.3822021484375,\n              41.27367811566259\n            ],\n            [\n              -120.75622558593749,\n              41.85728792769137\n            ],\n            [\n              -121.1572265625,\n              43.40504748787035\n            ],\n            [\n              -121.728515625,\n              43.41701888881103\n            ],\n            [\n              -122.18994140624999,\n              42.91620643817353\n            ],\n            [\n              -124.068603515625,\n              41.541477666790286\n            ],\n            [\n              -124.03015136718749,\n              41.253032440653186\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db67201a","contributors":{"authors":[{"text":"Bartholow, John M.","contributorId":77598,"corporation":false,"usgs":true,"family":"Bartholow","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henriksen, James A.","contributorId":89985,"corporation":false,"usgs":true,"family":"Henriksen","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289780,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76896,"text":"sir20065065 - 2006 - Ecology of bonytail and razorback sucker and the role of off-channel habitats in their recovery","interactions":[],"lastModifiedDate":"2016-05-27T13:29:46","indexId":"sir20065065","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"2006-5065","title":"Ecology of bonytail and razorback sucker and the role of off-channel habitats in their recovery","docAbstract":"<p>The bonytail and razorback sucker are two of four endangered mainstem fishes found in the Colorado River. Unlike the Colorado pikeminnow and humpback chub, wild populations of the bonytail and razorback sucker are either extirpated from the mainstem river or are nearly so. Agencies are aggressively stocking these fish and while repatriated fish spawn, their young are rapidly eaten by introduced predators. A decade of predator removal efforts has proved ineffective in restoring natural recruitment. Today, the presence of these species is totally dependent on stocking, suggesting both species are worse off today than when recovery efforts began nearly two decades ago.</p>\n<p>In contrast, both species readily produce young in ponds where nonnative predators are absent. Evidence shows they evolved with the ability to spawn in both flowing and standing water, which suggests isolated oxbow communities may have been an essential feature in their evolution and survival strategy.</p>\n<p>Sustainable populations during the past few decades have only occurred in isolated ponds devoid of predatory nonnative fish. Efforts to force recovery in the main channel river continue to fail due to the presence of nonnative predators that may be economically important recreational species. Off-channel sanctuaries provide research and management opportunities on a scale that are both biologically and economically realistic. Effective management of these species in small habitats appears to be the most logical approach to advance recovery in larger river reaches.</p>\n<p>This report presents new findings, updates existing information, and describes what may well represent the only practical approach to these species&rsquo; conservation and recovery. Chapter 1 provides an overview of the Colorado River system from its origin to the Gulf of California and includes a description of propagation and stocking programs which have not been described elsewhere. The report also updates what is known or suspected on the life history and ecology of these two endangered fishes. Chapter 2 describes the successful recruitment of both species at an oxbow pond on the Cibola National Wildlife Refuge in Arizona, discusses factors that contribute to completion of the life cycle of both fishes, and provides recommendations for future management of the impoundment. Chapter 3 provides historical evidence that oxbow habitats were formed historically in years of high runoff and the importance of these habitats for survival and evolution of native fishes. It also summarizes key features of habitats that can serve as sanctuaries that enhance early survival of the endangered fishes and allow the fish to complete their entire life cycles.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065065","usgsCitation":"Mueller, G.A., 2006, Ecology of bonytail and razorback sucker and the role of off-channel habitats in their recovery: U.S. Geological Survey Scientific Investigations Report 2006-5065, viii, 64 p., https://doi.org/10.3133/sir20065065.","productDescription":"viii, 64 p.","numberOfPages":"74","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":194605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065065.PNG"},{"id":320226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5065/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627ab0","contributors":{"authors":[{"text":"Mueller, Gordon A.","contributorId":86420,"corporation":false,"usgs":true,"family":"Mueller","given":"Gordon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":288111,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":1005160,"text":"1005160 - 2006 - Lake sturgeon population characteristics in Rainy Lake, Minnesota and Ontario","interactions":[],"lastModifiedDate":"2017-05-24T13:01:05","indexId":"1005160","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Lake sturgeon population characteristics in Rainy Lake, Minnesota and Ontario","docAbstract":"<p><span>Rainy Lake contains a native population of lake sturgeon </span><i>Acipenser fulvescens</i><span> that has been largely unstudied. The aims of this study were to document the population characteristics of lake sturgeon in Rainy Lake and to relate environmental factors to year-class strength for this population. Gill-netting efforts throughout the study resulted in the capture of 322 lake sturgeon, including 50 recaptures. Lake sturgeon in Rainy Lake was relatively plump and fast growing compared with a 32-population summary. Population samples were dominated by lake sturgeon between 110 and 150&nbsp;cm total length. Age–structure analysis of the samples indicated few younger (&lt;10&nbsp;years) lake sturgeon, but the smallest gill net mesh size used for sampling was 102&nbsp;mm (bar measure) and would not retain small sturgeon. Few lake sturgeon older than age 50&nbsp;years were captured, and maximum age of sampled fish was 59&nbsp;years. Few correlations existed between lake sturgeon year-class indices and both annual and monthly climate variables, except that mean June air temperature was positively correlated with year-class strength. Analysis of Rainy Lake water elevation and resulting lake sturgeon year-class strength indices across years yielded consistent but weak negative correlations between late April and early June, when spawning of lake sturgeon occurs. The baseline data collected in this study should allow Rainy Lake biologists to establish more specific research questions in the future.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2006.00725.x","usgsCitation":"Adams, W., Kallemeyn, L., and Willis, D., 2006, Lake sturgeon population characteristics in Rainy Lake, Minnesota and Ontario: Journal of Applied Ichthyology, v. 22, no. 2, p. 97-102, https://doi.org/10.1111/j.1439-0426.2006.00725.x.","productDescription":"6 p.","startPage":"97","endPage":"102","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":129266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Rainy Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.30551147460938,\n              48.97571019275402\n            ],\n            [\n              -93.46618652343749,\n              48.942347261978476\n            ],\n            [\n              -93.66943359374999,\n              48.84754712952161\n            ],\n            [\n              -93.57742309570312,\n              48.78243740444988\n            ],\n            [\n              -93.4002685546875,\n              48.7661467593689\n            ],\n            [\n              -93.46206665039062,\n              48.70455661164196\n            ],\n            [\n              -93.42086791992188,\n              48.61656946813302\n            ],\n            [\n              -93.22723388671875,\n              48.5729726246542\n            ],\n            [\n              -93.26019287109375,\n              48.568429123191514\n            ],\n            [\n              -93.26431274414062,\n              48.5493419587775\n            ],\n            [\n              -93.1365966796875,\n              48.53843177405044\n            ],\n            [\n              -93.05694580078125,\n              48.54297797016485\n            ],\n            [\n              -92.977294921875,\n              48.571155273059546\n            ],\n            [\n              -92.7520751953125,\n              48.49112712828191\n            ],\n            [\n              -92.62161254882812,\n              48.50932644976633\n            ],\n            [\n              -92.51449584960938,\n              48.54843286654265\n            ],\n            [\n              -92.74795532226562,\n              48.66647793923832\n            ],\n            [\n              -92.79602050781249,\n              48.69911856401931\n            ],\n            [\n              -92.92922973632812,\n              48.71090025795715\n            ],\n            [\n              -93.19564819335938,\n              48.706369163618795\n            ],\n            [\n              -93.06930541992188,\n              48.79148547876059\n            ],\n            [\n              -93.28765869140625,\n              48.96669538503323\n            ],\n            [\n              -93.30551147460938,\n              48.97571019275402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4306","contributors":{"authors":[{"text":"Adams, W.E. Jr.","contributorId":23489,"corporation":false,"usgs":true,"family":"Adams","given":"W.E.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":315286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kallemeyn, L.W.","contributorId":44864,"corporation":false,"usgs":true,"family":"Kallemeyn","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":315287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, D.W.","contributorId":56179,"corporation":false,"usgs":true,"family":"Willis","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":315288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70028434,"text":"70028434 - 2006 - Emplacement of subaerial pahoehoe lava sheet flows into water: 1990 Kūpaianaha flow of Kilauea volcano at Kaimū Bay, Hawai`i","interactions":[],"lastModifiedDate":"2016-10-05T16:58:02","indexId":"70028434","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Emplacement of subaerial pahoehoe lava sheet flows into water: 1990 Kūpaianaha flow of Kilauea volcano at Kaimū Bay, Hawai`i","docAbstract":"<p><span>Episode 48 of the ongoing eruption of Kilauea, Hawai`i, began in July 1986 and continuously extruded lava for the next 5.5&nbsp;years from a low shield, Kūpaianaha. The flows in March 1990 headed for Kalapana and inundated the entire town under 15–25&nbsp;m of lava by the end of August. As the flows advanced eastward, they entered into Kaimū Bay, replacing it with a plain of lava that extends 300&nbsp;m beyond the original shoreline. The focus of our study is the period from August 1 to October 31, 1990, when the lava buried almost 406,820&nbsp;m</span><sup>2</sup><span> of the 5-m deep bay. When lava encountered the sea, it flowed along the shoreline as a narrow primary lobe up to 400&nbsp;m long and 100&nbsp;m wide, which in turn inflated to a thickness of 5–6&nbsp;m. The flow direction of the primary lobes was controlled by the submerged delta below the lavas and by damming up lavas fed at low extrusion rates. Breakout flows through circumferential and axial inflation cracks on the inflating primary lobes formed smaller secondary lobes, burying the lows between the primary lobes and hiding their original outlines. Inflated flow lobes eventually ruptured at proximal and/or distal ends as well as mid-points between the two ends, feeding new primary lobes which were emplaced along and on the shore side of the previously inflated lobes. The flow lobes mapped with the aid of aerial photographs were correlated with daily observations of the growing flow field, and 30 primary flow lobes were dated. Excluding the two repose periods that intervened while the bay was filled, enlargement of the flow field took place at a rate of 2,440–22,640 square meters per day in the bay. Lobe thickness was estimated to be up to 11&nbsp;m on the basis of cross sections of selected lobes measured using optical measurement tools, measuring tape and hand level. The total flow-lobe volume added in the bay during August 1–October 31 was approximately 3.95 million&nbsp;m</span><sup>3</sup><span>, giving an average supply rate of 0.86&nbsp;m</span><sup>3</sup><span>/s.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-006-0059-4","issn":"02588900","usgsCitation":"Umino, S., Nonaka, M., and Kauahikaua, J.P., 2006, Emplacement of subaerial pahoehoe lava sheet flows into water: 1990 Kūpaianaha flow of Kilauea volcano at Kaimū Bay, Hawai`i: Bulletin of Volcanology, v. 69, no. 2, p. 125-139, https://doi.org/10.1007/s00445-006-0059-4.","productDescription":"15 p.","startPage":"125","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":237108,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.050048828125,\n              19.30595917262483\n            ],\n            [\n              -155.050048828125,\n              19.41673522857577\n            ],\n            [\n              -154.90036010742188,\n              19.41673522857577\n            ],\n            [\n              -154.90036010742188,\n              19.30595917262483\n            ],\n            [\n              -155.050048828125,\n              19.30595917262483\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"69","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-04-11","publicationStatus":"PW","scienceBaseUri":"505a0913e4b0c8380cd51dbd","contributors":{"authors":[{"text":"Umino, Susumu","contributorId":42773,"corporation":false,"usgs":true,"family":"Umino","given":"Susumu","email":"","affiliations":[],"preferred":false,"id":418034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nonaka, Miyuki","contributorId":62012,"corporation":false,"usgs":true,"family":"Nonaka","given":"Miyuki","email":"","affiliations":[],"preferred":false,"id":418035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":418033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190526,"text":"70190526 - 2006 - The role of fire refugia in the distribution of Pinus sabiniana (Pinaceae) in the southern Sierra Nevada","interactions":[],"lastModifiedDate":"2017-09-06T13:41:24","indexId":"70190526","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2639,"text":"Madroño","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The role of fire refugia in the distribution of <i>Pinus sabiniana</i> (Pinaceae) in the southern Sierra Nevada","title":"The role of fire refugia in the distribution of Pinus sabiniana (Pinaceae) in the southern Sierra Nevada","docAbstract":"<p><span>Although widespread throughout the interior foothills of central and northern California,&nbsp;</span><i>Pinus sabiniana</i><span><span>&nbsp;</span>Dougl. has a disjunct distribution in the southern Sierra Nevada, where it is abundant in the Kern River and Tule River watersheds, but is absent from the Kaweah River watershed between 36° and 37°N. This gap in the pine's distribution has long intrigued botanists and ecologists and has elicited a number of hypotheses for this anomalous biogeographical pattern. Here we propose a new hypothesis that couples unique features of the southern Sierra Nevada topography with unique features of<span>&nbsp;</span></span><i>P. sabiniana</i><span>'s response to fire. This low elevation pine is widely distributed in grassland and chaparral, and where it occurs with the latter vegetation, it is extremely vulnerable to high intensity wildfires. Under these conditions, meta-populations persist over time in refugia in riparian areas and during fire-free intervals expand outwards re-colonizing shrubland dominated slopes. The lack of such refugia in the very steep and narrow Kaweah drainage is hypothesized to explain the absence of this pine in that area. To test this hypothesis, we studied the age-structure of<span>&nbsp;</span></span><i>P. sabiniana</i><span>in the area of the 2002 McNally Fire in the Kern drainage to compare age distributions of trees and tree skeletons along a gradient up slope away from riparian zones. Maximum age declined significantly with distance from riparian areas, suggesting that past fires have eliminated<span>&nbsp;</span></span><i>P. sabiniana</i><span>from the slopes and that the pines have re-colonized during fire-free intervals. The relationship was strongest when our data were restricted to areas that had a previously recorded fire. We also found that the riparian areas in the Kern drainage were significantly wider than those in Kaweah drainage, suggesting that fewer such fire refugia exist in the latter watershed, and providing an explanation for the lack of<span>&nbsp;</span></span><i>P. sabiniana</i><span><span>&nbsp;</span>between 36° and 37°.</span></p>","language":"English","publisher":"California Botanical Society","doi":"10.3120/0024-9637(2006)53[364:TROFRI]2.0.CO;2","usgsCitation":"Schwilk, D.W., and Keeley, J.E., 2006, The role of fire refugia in the distribution of Pinus sabiniana (Pinaceae) in the southern Sierra Nevada: Madroño, v. 53, no. 4, p. 364-372, https://doi.org/10.3120/0024-9637(2006)53[364:TROFRI]2.0.CO;2.","productDescription":"9 p.","startPage":"364","endPage":"372","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":477603,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/168982","text":"External Repository"},{"id":345495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","volume":"53","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b10937e4b020cdf7d8da1b","contributors":{"authors":[{"text":"Schwilk, Dylan W.","contributorId":103883,"corporation":false,"usgs":true,"family":"Schwilk","given":"Dylan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":709642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":709643,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70028320,"text":"70028320 - 2006 - Flow-specific trends in river-water quality resulting from the effects of the clean air act in three mesoscale, forested river basins in the northeastern United States through 2002","interactions":[],"lastModifiedDate":"2012-03-12T17:20:44","indexId":"70028320","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Flow-specific trends in river-water quality resulting from the effects of the clean air act in three mesoscale, forested river basins in the northeastern United States through 2002","docAbstract":"Two new methods for assessing temporal trends in stream-solute concentrations at specific streamflow ranges were applied to long (40 to 50-year) but sparse (bi-weekly to quarterly sampling) stream-water quality data collected at three forested mesoscale basins along an atmospheric deposition gradient in the northeastern United States (one in north-central Pennsylvania, one in southeastern New York, and one in eastern Maine). The three data sets span the period since the implementation of the Clean Air Act in 1970 and its subsequent amendments. Declining sulfate (SO2-4) trends since the mid 1960s were identified for all 3 rivers by one or more of the 4 methods of trend detection used. Flow-specific trends were assessed by segmenting the data sets into 3-year and 6-year blocks, then determining concentration-discharge relationships for each block. Declining sulfate (SO2-4) trends at median flow were similar to trends determined using a Seasonal Kendall Tau test and Sen slope estimator. The trend of declining SO2-4 concentrations differed at high, median and low flow since the mid 1980s at YWC and NR, and at high and low flow at WR, but the trends leveled or reversed at high flow from 1999 through 2002. Trends for the period of record at high flows were similar to medium- and low-flow trends for Ca2+ + Mg2+ concentrations at WR, non-significant at YWC, and were more negative at low flow than at high flow at NR; trends in nitrate (NO-3), and alkalinity (ALK) concentrations were different at different flow conditions, and in ways that are consistent with the hydrology and deposition history at each watershed. Quarterly sampling is adequate for assessing average-flow trends in the chemical parameters assessed over long time periods (???decades). However, with even a modest effort at sampling a range of flow conditions within each year, trends at specified flows for constituents with strong concentration-discharge relationships can be evaluated and may allow early detection of ecosystem response to climate change and pollution management strategies. ?? Springer Science+Business Media, B.V. 2006.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10661-005-9028-1","issn":"01676369","usgsCitation":"Murdoch, P., and Shanley, J.B., 2006, Flow-specific trends in river-water quality resulting from the effects of the clean air act in three mesoscale, forested river basins in the northeastern United States through 2002: Environmental Monitoring and Assessment, v. 120, no. 1-3, p. 1-25, https://doi.org/10.1007/s10661-005-9028-1.","startPage":"1","endPage":"25","numberOfPages":"25","costCenters":[],"links":[{"id":236922,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210103,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-005-9028-1"}],"volume":"120","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2006-08-01","publicationStatus":"PW","scienceBaseUri":"505a125de4b0c8380cd5429a","contributors":{"authors":[{"text":"Murdoch, Peter S.","contributorId":73547,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter S.","affiliations":[],"preferred":false,"id":417520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, J. B.","contributorId":52226,"corporation":false,"usgs":true,"family":"Shanley","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":417519,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}