Since 1952, wastewater discharged to in ltration ponds (also called percolation ponds) and disposal wells at the Idaho National Laboratory (INL) has affected water quality in the eastern Snake River Plain (ESRP) aquifer and perched groundwater zones underlying the INL. The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, maintains groundwater-monitoring networks at the INL to determine hydrologic trends and to delineate the movement of radiochemical and chemical wastes in the aquifer and in perched groundwater zones. This report presents an analysis of water-level and water-quality data collected from the ESRP aquifer, multilevel monitoring system (MLMS) wells in the ESRP aquifer, and perched groundwater wells in the USGS groundwater monitoring networks during 2012-15.
Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
https://id.water.usgs.gov
Movement ecology is an important component of life history and population dynamics, and consequently its understanding can inform successful fishery management decision-making. While lake trout populations in Lake Huron have shown signs of recovery from near extinction in recent years, knowledge of their movement behavior remains incomplete. We used acoustic telemetry to describe and compare movement patterns of two Lake Huron lake trout populations: Drummond Island and Thunder Bay. Both populations showed high spawning site fidelity, with no evidence of co-mingling during non-spawning season. Detections between spawning periods were mainly limited to receivers within 100 km of spawning locations, and suggested that the two populations likely remained segregated throughout the year. Drummond Island fish, which spawn inside the Drummond Island Refuge, primarily dispersed east into Canadian waters of Lake Huron, with 79–92% of fish being detected annually on receivers outside the refuge. In contrast, Thunder Bay fish tended to disperse south towards Saginaw Bay. Large proportions (i.e., > 80%) of both populations were available to fisheries outside the management zone containing their spawning location. Thunder Bay fish moved relatively quickly to overwinter habitat after spawning, and tended to repeat the same post-spawning movement behavior each year. The consistent, predictable movement of both populations across management zones highlights the importance of understanding population dynamics to effective management of Lake Huron lake trout.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.023","usgsCitation":"Binder, T., Marsden, J., Riley, S., Johnson, J., Johnson, N., He, J., Ebener, M.P., Holbrook, C., Bergstedt, R., Bronte, C.R., Hayden, T.A., and Krueger, C., 2017, Movement patterns and spatial segregation of two populations of lake trout Salvelinus namaycush in Lake Huron: Journal of Great Lakes Research, v. 43, no. 3, p. 108-118, https://doi.org/10.1016/j.jglr.2017.03.023.","productDescription":"11 p.","startPage":"108","endPage":"118","ipdsId":"IP-082645","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":339516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Drummond Island, Lake Huron, Thunder Bay","volume":"43","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ec99d8e4b0b4d95d335257","contributors":{"authors":[{"text":"Binder, Thomas 0000-0001-9266-9120 tbinder@usgs.gov","orcid":"https://orcid.org/0000-0001-9266-9120","contributorId":4958,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas","email":"tbinder@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsden, J. Ellen","contributorId":190724,"corporation":false,"usgs":false,"family":"Marsden","given":"J. Ellen","affiliations":[],"preferred":false,"id":690498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, James E.","contributorId":190725,"corporation":false,"usgs":false,"family":"Johnson","given":"James E.","affiliations":[],"preferred":false,"id":690499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, Ji","contributorId":172649,"corporation":false,"usgs":false,"family":"He","given":"Ji","affiliations":[],"preferred":false,"id":690502,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":690503,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690504,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bergstedt, Roger A.","contributorId":190726,"corporation":false,"usgs":false,"family":"Bergstedt","given":"Roger A.","affiliations":[],"preferred":false,"id":690505,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":690506,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hayden, Todd A. 0000-0002-0451-0425 thayden@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":5987,"corporation":false,"usgs":true,"family":"Hayden","given":"Todd","email":"thayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690507,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":690508,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70186755,"text":"70186755 - 2017 - Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry","interactions":[],"lastModifiedDate":"2017-04-11T09:58:46","indexId":"70186755","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry","docAbstract":"Coral skeletons are valuable archives of past ocean conditions. However, interpretation of coral paleotemperature records is confounded by uncertainties associated with single-element ratio thermometers, including Sr/Ca. A new approach, Sr-U, uses U/Ca to constrain the influence of Rayleigh fractionation on Sr/Ca. Here we build on the initial Pacific Porites Sr-U calibration to include multiple Atlantic and Pacific coral genera from multiple coral reef locations spanning a temperature range of 23.15–30.12°C. Accounting for the wintertime growth cessation of one Bermuda coral, we show that Sr-U is strongly correlated with the average water temperature at each location (r2 = 0.91, P < 0.001, n = 19). We applied the multispecies spatial calibration between Sr-U and temperature to reconstruct a 96 year long temperature record at Mona Island, Puerto Rico, using a coral not included in the calibration. Average Sr-U derived temperature for the period 1900–1996 is within 0.12°C of the average instrumental temperature at this site and captures the twentieth century warming trend of 0.06°C per decade. Sr-U also captures the timing of multiyear variability but with higher amplitude than implied by the instrumental data. Mean Sr-U temperatures and patterns of multiyear variability were replicated in a second coral in the same grid box. Conversely, Sr/Ca records from the same two corals were inconsistent with each other and failed to capture absolute sea temperatures, timing of multiyear variability, or the twentieth century warming trend. Our results suggest that coral Sr-U paleothermometry is a promising new tool for reconstruction of past ocean temperatures.
","language":"English","publisher":"Wiley","doi":"10.1002/2016PA002976","usgsCitation":"Alpert, A.E., Cohen, A.L., Oppo, D.W., DeCarlo, T.M., Gaetani, G.A., Hernandez-Delgado, E.A., Winter, A., and Gonneea Eagle, M., 2017, Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry: Paleoceanography, v. 32, no. 2, p. 146-160, https://doi.org/10.1002/2016PA002976.","productDescription":"15 p.","startPage":"146","endPage":"160","ipdsId":"IP-079454","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016pa002976","text":"Publisher Index Page"},{"id":339514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Mona Island","volume":"32","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"58ec99d9e4b0b4d95d335259","contributors":{"authors":[{"text":"Alpert, Alice E.","contributorId":190715,"corporation":false,"usgs":false,"family":"Alpert","given":"Alice","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Anne L.","contributorId":190716,"corporation":false,"usgs":false,"family":"Cohen","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppo, Delia W.","contributorId":190717,"corporation":false,"usgs":false,"family":"Oppo","given":"Delia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":690473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCarlo, Thomas M.","contributorId":190720,"corporation":false,"usgs":false,"family":"DeCarlo","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaetani, Glenn A.","contributorId":190718,"corporation":false,"usgs":false,"family":"Gaetani","given":"Glenn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernandez-Delgado, Edwin A.","contributorId":190719,"corporation":false,"usgs":false,"family":"Hernandez-Delgado","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Amos","contributorId":72271,"corporation":false,"usgs":false,"family":"Winter","given":"Amos","email":"","affiliations":[],"preferred":false,"id":690477,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690470,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186750,"text":"70186750 - 2017 - Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system","interactions":[],"lastModifiedDate":"2017-04-10T08:58:09","indexId":"70186750","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system","docAbstract":"Humans have altered nearly every natural disturbance regime on the planet through climate and land-use change, and in many instances, these processes may have interacting effects. For example, projected shifts in temperature and precipitation will likely influence disturbance regimes already affected by anthropogenic fire suppression or river impoundments. Understanding how disturbance-dependent species respond to complex and interacting environmental changes is important for conservation efforts. Using field-based demographic and movement rates, we conducted a metapopulation viability analysis for piping plovers (Charadrius melodus), a threatened disturbance-dependent species, along the Missouri and Platte rivers in the Great Plains of North America. Our aim was to better understand current and projected future metapopulation dynamics given that natural disturbances (flooding or high-flow events) have been greatly reduced by river impoundments and that climate change could further alter the disturbance regime. Although metapopulation abundance has been substantially reduced under the current suppressed disturbance regime (high-flow return interval ~ 20 yr), it could grow if the frequency of high-flow events increases as predicted under likely climate change scenarios. We found that a four-year return interval would maximize metapopulation abundance, and all subpopulations in the metapopulation would act as sources at a return interval of 15 yr or less. Regardless of disturbance frequency, the presence of even a small, stable source subpopulation buffered the metapopulation and sustained a low metapopulation extinction risk. Therefore, climate change could have positive effects in ecosystems where disturbances have been anthropogenically suppressed when climatic shifts move disturbance regimes toward more historical patterns. Furthermore, stable source populations, even if unintentionally maintained through anthropogenic activities, may be critical for the persistence of metapopulations of early-successional species under both suppressed disturbance regimes and disturbance regimes where climate change has further altered disturbance frequency or scope.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1653","usgsCitation":"Zeigler, S.L., Catlin, D.H., Bomberger Brown, M., Fraser, J., Dinan, L.R., Hunt, K.L., Jorgensen, J.G., and Karpanty, S.M., 2017, Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system: Ecosphere, v. 8, no. 1, e01653: 16 p., https://doi.org/10.1002/ecs2.1653.","productDescription":"e01653: 16 p.","ipdsId":"IP-080891","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1653","text":"Publisher Index Page"},{"id":339493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Nebraska, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.45,\n 40.5\n ],\n [\n -96,\n 40.5\n ],\n [\n -96,\n 43.5\n ],\n [\n -98.45,\n 43.5\n ],\n [\n -98.45,\n 40.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"58ebadaae4b0b4d95d320093","contributors":{"authors":[{"text":"Zeigler, Sara L. 0000-0002-5472-769X szeigler@usgs.gov","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":169601,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","email":"szeigler@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catlin, Daniel H.","contributorId":87859,"corporation":false,"usgs":false,"family":"Catlin","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":690453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bomberger Brown, M.","contributorId":169602,"corporation":false,"usgs":false,"family":"Bomberger Brown","given":"M.","email":"","affiliations":[{"id":25563,"text":"School of Natural Resources, University of Nebraska, Lincoln, NE 68583","active":true,"usgs":false}],"preferred":false,"id":690454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, J.D.","contributorId":190706,"corporation":false,"usgs":false,"family":"Fraser","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":690455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dinan, Lauren R.","contributorId":169605,"corporation":false,"usgs":false,"family":"Dinan","given":"Lauren","email":"","middleInitial":"R.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":690456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Kelsi L.","contributorId":169606,"corporation":false,"usgs":false,"family":"Hunt","given":"Kelsi","email":"","middleInitial":"L.","affiliations":[{"id":12780,"text":"Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA 24061, USA","active":true,"usgs":false}],"preferred":false,"id":690457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgensen, Joel G.","contributorId":169607,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Joel","email":"","middleInitial":"G.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":690458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":690459,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70184959,"text":"70184959 - 2017 - The growth of sport shooting participation: What does this trend mean for conservation revenue?","interactions":[],"lastModifiedDate":"2017-04-10T09:30:49","indexId":"70184959","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"The growth of sport shooting participation: What does this trend mean for conservation revenue?","docAbstract":"Enacted in 1937, the Federal Aid in Wildlife Restoration Act – more commonly known as the Pittman-Robertson Act – is one of the oldest and most reliable sources of funding for wildlife conservation in the United States. The result of organized support form sportsmen, fish and wildlife agencies, firearms manufacturers, conservation organizations, and even garden clubs, the PR Act created an excise tax on so-called “long guns” and ammunition used by hunters, thereby establishing the first sustainable source of revenue dedicated to conservation and land management efforts throughout the country. Later, legislators amended the PR Act to include an excise tax on pistols, revolvers, bows, arrows, and other archery equipment.
","language":"English","publisher":"The Wildlife Society","publisherLocation":"Lawrence, KS","usgsCitation":"Duda, M.D., Beppler, T., and Organ, J.F., 2017, The growth of sport shooting participation: What does this trend mean for conservation revenue?: The Wildlife Professional, v. 11, no. 2, p. 38-41.","productDescription":"4 p.","startPage":"38","endPage":"41","ipdsId":"IP-076773","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ebadabe4b0b4d95d320095","contributors":{"authors":[{"text":"Duda, Mark D.","contributorId":189048,"corporation":false,"usgs":false,"family":"Duda","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":690460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beppler, Tom","contributorId":189049,"corporation":false,"usgs":false,"family":"Beppler","given":"Tom","email":"","affiliations":[],"preferred":false,"id":683706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":683704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185117,"text":"ofr20171031 - 2017 - Correction of elevation offsets in multiple co-located lidar datasets","interactions":[],"lastModifiedDate":"2017-04-07T14:20:13","indexId":"ofr20171031","displayToPublicDate":"2017-04-07T14:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1031","title":"Correction of elevation offsets in multiple co-located lidar datasets","docAbstract":"Topographic elevation data collected with airborne light detection and ranging (lidar) can be used to analyze short- and long-term changes to beach and dune systems. Analysis of multiple lidar datasets at Dauphin Island, Alabama, revealed systematic, island-wide elevation differences on the order of 10s of centimeters (cm) that were not attributable to real-world change and, therefore, were likely to represent systematic sampling offsets. These offsets vary between the datasets, but appear spatially consistent within a given survey. This report describes a method that was developed to identify and correct offsets between lidar datasets collected over the same site at different times so that true elevation changes over time, associated with sediment accumulation or erosion, can be analyzed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171031","usgsCitation":"Thompson, D.M., Dalyander, P.S., Long, J.W., and Plant, N.G., 2017, Correction of elevation offsets in multiple co-located lidar datasets: U.S. Geological Survey Open-File Report 2017–1031, 10 p., https://doi.org/10.3133/ofr20171031. ","productDescription":"iv, 10 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-079032","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":339143,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1031/ofr20171031.pdf","text":"Report","size":"546 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1031"},{"id":339142,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1031/coverthb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.21369171142578,\n 30.217541849095714\n ],\n [\n -88.06949615478516,\n 30.217541849095714\n ],\n [\n -88.06949615478516,\n 30.28575280701959\n ],\n [\n -88.21369171142578,\n 30.28575280701959\n ],\n [\n -88.21369171142578,\n 30.217541849095714\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
http://coastal.er.usgs.gov/
Long-term decadal-scale shoreline change is an important parameter for quantifying the stability of coastal systems. The decadal-scale coastal change is controlled by processes that occur on short time scales (such as storms) and long-term processes (such as prevailing waves). The ability to predict decadal-scale shoreline change is not well established and the fundamental physical processes controlling this change are not well understood. Here we investigate the processes that create large-scale long-term shoreline change along the Outer Banks of North Carolina, an uninterrupted 60 km stretch of coastline, using both observations and a numerical modeling approach. Shoreline positions for a 24-yr period were derived from aerial photographs of the Outer Banks. Analysis of the shoreline position data showed that, although variable, the shoreline eroded an average of 1.5 m/yr throughout this period. The modeling approach uses a three-dimensional hydrodynamics-based numerical model coupled to a spectral wave model and simulates the full 24-yr time period on a spatial grid running on a short (second scale) time-step to compute the sediment transport patterns. The observations and the model results show similar magnitudes (O(105 m3/yr)) and patterns of alongshore sediment fluxes. Both the observed and the modeled alongshore sediment transport rates have more rapid changes at the north of our section due to continuously curving coastline, and possible effects of alongshore variations in shelf bathymetry. The southern section with a relatively uniform orientation, on the other hand, has less rapid transport rate changes. Alongshore gradients of the modeled sediment fluxes are translated into shoreline change rates that have agreement in some locations but vary in others. Differences between observations and model results are potentially influenced by geologic framework processes not included in the model. Both the observations and the model results show higher rates of erosion (∼−1 m/yr) averaged over the northern half of the section as compared to the southern half where the observed and modeled averaged net shoreline changes are smaller (<0.1 m/yr). The model indicates accretion in some shallow embayments, whereas observations indicate erosion in these locations. Further analysis identifies that the magnitude of net alongshore sediment transport is strongly dominated by events associated with high wave energy. However, both big- and small- wave events cause shoreline change of the same order of magnitude because it is the gradients in transport, not the magnitude, that are controlling shoreline change. Results also indicate that alongshore momentum is not a simple balance between wave breaking and bottom stress, but also includes processes of horizontal vortex force, horizontal advection and pressure gradient that contribute to long-term alongshore sediment transport. As a comparison to a more simple approach, an empirical formulation for alongshore sediment transport is used. The empirical estimates capture the effect of the breaking term in the hydrodynamics-based model, however, other processes that are accounted for in the hydrodynamics-based model improve the agreement with the observed alongshore sediment transport.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.coastaleng.2016.11.014","usgsCitation":"Safak, I., List, J.H., Warner, J., and Kumar, N., 2017, Observations and 3D hydrodynamics-based modeling of decadal-scale shoreline change along the Outer Banks, North Carolina: Coastal Engineering, v. 120, p. 78-92, https://doi.org/10.1016/j.coastaleng.2016.11.014.","productDescription":"15 p.","startPage":"78","endPage":"92","ipdsId":"IP-071238","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469939,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8747","text":"External Repository"},{"id":339382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Outer Banks","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.3,\n 35.13\n ],\n [\n -75.07,\n 35.13\n ],\n [\n -75.07,\n 36.45\n ],\n [\n -76.3,\n 36.45\n ],\n [\n -76.3,\n 35.13\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a540e4b09da6799d639d","contributors":{"authors":[{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kumar, Nirnimesh","contributorId":190663,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","email":"","affiliations":[],"preferred":false,"id":690248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186667,"text":"70186667 - 2017 - The interaction of climate change and methane hydrates","interactions":[],"lastModifiedDate":"2017-04-19T15:40:55","indexId":"70186667","displayToPublicDate":"2017-04-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"The interaction of climate change and methane hydrates","docAbstract":"Gas hydrate, a frozen, naturally-occurring, and highly-concentrated form of methane, sequesters significant carbon in the global system and is stable only over a range of low-temperature and moderate-pressure conditions. Gas hydrate is widespread in the sediments of marine continental margins and permafrost areas, locations where ocean and atmospheric warming may perturb the hydrate stability field and lead to release of the sequestered methane into the overlying sediments and soils. Methane and methane-derived carbon that escape from sediments and soils and reach the atmosphere could exacerbate greenhouse warming. The synergy between warming climate and gas hydrate dissociation feeds a popular perception that global warming could drive catastrophic methane releases from the contemporary gas hydrate reservoir. Appropriate evaluation of the two sides of the climate-methane hydrate synergy requires assessing direct and indirect observational data related to gas hydrate dissociation phenomena and numerical models that track the interaction of gas hydrates/methane with the ocean and/or atmosphere. Methane hydrate is likely undergoing dissociation now on global upper continental slopes and on continental shelves that ring the Arctic Ocean. Many factors—the depth of the gas hydrates in sediments, strong sediment and water column sinks, and the inability of bubbles emitted at the seafloor to deliver methane to the sea-air interface in most cases—mitigate the impact of gas hydrate dissociation on atmospheric greenhouse gas concentrations though. There is no conclusive proof that hydrate-derived methane is reaching the atmosphere now, but more observational data and improved numerical models will better characterize the climate-hydrate synergy in the future.
","language":"English","publisher":"AGU","doi":"10.1002/2016RG000534","usgsCitation":"Ruppel, C., and Kessler, J.D., 2017, The interaction of climate change and methane hydrates: Reviews of Geophysics, v. 55, no. 1, p. 126-168, https://doi.org/10.1002/2016RG000534.","productDescription":"43 p.","startPage":"126","endPage":"168","ipdsId":"IP-079102","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016rg000534","text":"Publisher Index Page"},{"id":339403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"58e8a541e4b09da6799d639f","chorus":{"doi":"10.1002/2016rg000534","url":"http://dx.doi.org/10.1002/2016rg000534","publisher":"Wiley-Blackwell","authors":"Ruppel Carolyn D., Kessler John D.","journalName":"Reviews of Geophysics","publicationDate":"2017","publiclyAccessibleDate":"2/8/2017"},"contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":690216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kessler, John D. 0000-0003-1097-6800","orcid":"https://orcid.org/0000-0003-1097-6800","contributorId":184241,"corporation":false,"usgs":false,"family":"Kessler","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":690217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186715,"text":"70186715 - 2017 - Flowering phenology shifts in response to biodiversity loss","interactions":[],"lastModifiedDate":"2017-04-07T13:52:00","indexId":"70186715","displayToPublicDate":"2017-04-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Flowering phenology shifts in response to biodiversity loss","docAbstract":"Observational studies and experimental evidence agree that rising global temperatures have altered plant phenology—the timing of life events, such as flowering, germination, and leaf-out. Other large-scale global environmental changes, such as nitrogen deposition and altered precipitation regimes, have also been linked to changes in flowering times. Despite our increased understanding of how abiotic factors influence plant phenology, we know very little about how biotic interactions can affect flowering times, a significant knowledge gap given ongoing human-caused alteration of biodiversity and plant community structure at the global scale. We experimentally manipulated plant diversity in a California serpentine grassland and found that many plant species flowered earlier in response to reductions in diversity, with peak flowering date advancing an average of 0.6 days per species lost. These changes in phenology were mediated by the effects of plant diversity on soil surface temperature, available soil N, and soil moisture. Peak flowering dates were also more dispersed among species in high-diversity plots than expected based on monocultures. Our findings illustrate that shifts in plant species composition and diversity can alter the timing and distribution of flowering events, and that these changes to phenology are similar in magnitude to effects induced by climate change. Declining diversity could thus contribute to or exacerbate phenological changes attributed to rising global temperatures.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1608357114","usgsCitation":"Wolf, A.A., Zavaleta, E.S., and Selmants, P., 2017, Flowering phenology shifts in response to biodiversity loss: Proceedings of the National Academy of Sciences, v. 114, no. 13, p. 3463-3468, https://doi.org/10.1073/pnas.1608357114.","productDescription":"6 p.","startPage":"3463","endPage":"3468","ipdsId":"IP-083132","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469940,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1608357114","text":"External Repository"},{"id":339446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-13","publicationStatus":"PW","scienceBaseUri":"58e8a53fe4b09da6799d6399","contributors":{"authors":[{"text":"Wolf, Amelia A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zavaleta, Erika S","contributorId":190686,"corporation":false,"usgs":false,"family":"Zavaleta","given":"Erika","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":690345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":182694,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul C.","email":"pselmants@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":690343,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186660,"text":"70186660 - 2017 - Terrestrial subaqueous seafloor dunes: Possible analogs for Venus","interactions":[],"lastModifiedDate":"2017-06-20T13:19:14","indexId":"70186660","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial subaqueous seafloor dunes: Possible analogs for Venus","docAbstract":"Dunes on Venus, first discovered with Magellan Synthetic Aperture Radar (SAR) in the early 1990s, have fueled discussions about the viability of Venusian dunes and aeolian grain transport. Confined to two locations on Venus, the existence of the interpreted dunes provides evidence that there could be transportable material being mobilized into aeolian bedforms at the surface. However, because of the high-pressure high-temperature surface conditions, laboratory analog studies are difficult to conduct and results are difficult to extrapolate to full-sized, aeolian bedforms. Field sites of desert dunes, which are well-studied on Earth and Mars, are not analogous to what is observed on Venus because of the differences in the fluid environments. One potentially underexplored possibility in planetary science for Venus-analog dune fields could be subaqueous, seafloor dune fields on Earth. Known to the marine geology communities since the early 1960s, seafloor dunes are rarely cited in planetary aeolian bedform literature, but could provide a necessary thick-atmosphere extension to the classically studied aeolian dune environment literature for thinner atmospheres. Through discussion of the similarity of the two environments, and examples of dunes and ripples cited in marine literature, we provide evidence that subaqueous seafloor dunes could serve as analogs for dunes on Venus. Furthermore, the evidence presented here demonstrates the usefulness of the marine literature for thick-atmosphere planetary environments and potentially for upcoming habitable worlds and oceanic environment research program opportunities. Such useful cross-disciplinary discussion of dune environments is applicable to many planetary environments (Earth, Mars, Venus, Titan, etc.) and potential future missions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2017.03.002","usgsCitation":"Neakrase, L., Klose, M., and Titus, T.N., 2017, Terrestrial subaqueous seafloor dunes: Possible analogs for Venus: Aeolian Research, v. 26, p. 47-56, https://doi.org/10.1016/j.aeolia.2017.03.002.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-074225","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":339378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Venus","volume":"26","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753e6e4b09da6799c0c45","contributors":{"authors":[{"text":"Neakrase, Lynn","contributorId":190649,"corporation":false,"usgs":false,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":690191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klose, Martina","contributorId":190662,"corporation":false,"usgs":false,"family":"Klose","given":"Martina","email":"","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":690190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":690244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186597,"text":"70186597 - 2017 - Are coastal managers ready for climate change? A case study from estuaries along the Pacific coast of the United States","interactions":[],"lastModifiedDate":"2018-03-08T16:03:27","indexId":"70186597","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Are coastal managers ready for climate change? A case study from estuaries along the Pacific coast of the United States","docAbstract":"A key challenge for coastal resource managers is to plan and implement climate change adaptation strategies inlight of uncertainties and competing management priorities. In 2014, we held six workshops across estuaries along the Pacific coast of North America with over 150 participants to evaluate resource managers' perceived level of understanding of climate change science, where they obtain information, how they use this knowledge, and their preparedness for incorporating climate change into their management decisions. We found that most resource managers understood the types of climate change impacts likely to occur in their estuaries, but often lacked the scientific information to make decisions and plan effectively. Managers stated that time, money, and staff resources were the largest obstacles in their efforts. Managers identified that they learned most of their information from peers, scientific journals, and the Internet and indicated that sea-level rise was their greatest concern. There was, however, variation in managers' levels of readiness and perceived knowledge within and among workshop locations. The workshops revealed that some regions don't have the information they need or the planning capacity to effectively integrate climate change into their management, with eight out of fifteen site comparisons showing a significant difference between their level of preparedness (F5,26 = 6.852; p = 0.0003), and their willingness to formally plan (F5,26 = 12.84; p = 0.000002). We found that Urban estuaries were significantly different from Mixed Use and Rural estuaries, in having access to information and feeling more prepared to conduct climate change planning and implementation (F2,29 = 17.34; p = 0.00001). To facilitate climate change preparedness more comprehensive integration of science into management decisions is essential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2017.02.010","usgsCitation":"Thorne, K.M., Elliott-Fisk, D.L., Freeman, C.M., Bui, T.D., Powelson, K., Janousek, C., Buffington, K., and Takekawa, J.Y., 2017, Are coastal managers ready for climate change? A case study from estuaries along the Pacific coast of the United States: Ocean and Coastal Management, v. 143, p. 38-50, https://doi.org/10.1016/j.ocecoaman.2017.02.010.","productDescription":"13 p.","startPage":"38","endPage":"50","ipdsId":"IP-084256","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2017.02.010","text":"Publisher Index Page"},{"id":339305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753eae4b09da6799c0c49","chorus":{"doi":"10.1016/j.ocecoaman.2017.02.010","url":"http://dx.doi.org/10.1016/j.ocecoaman.2017.02.010","publisher":"Elsevier BV","authors":"Thorne Karen M., Elliott-Fisk Deborah L., Freeman Chase M., Bui Thuy-Vy D., Powelson Katherine W., Janousek Christopher N., Buffington Kevin J., Takekawa John Y.","journalName":"Ocean & Coastal Management","publicationDate":"3/2017"},"contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":689693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott-Fisk, Deborah L.","contributorId":190593,"corporation":false,"usgs":false,"family":"Elliott-Fisk","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":689694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":689695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bui, Thuy-Vy D. 0000-0002-0914-5439 tbui@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-5439","contributorId":4776,"corporation":false,"usgs":true,"family":"Bui","given":"Thuy-Vy","email":"tbui@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":689696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powelson, Katherine 0000-0001-7790-6255 kpowelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7790-6255","contributorId":190760,"corporation":false,"usgs":true,"family":"Powelson","given":"Katherine","email":"kpowelson@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":689697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janousek, Christopher 0000-0003-2124-6715 cjanousek@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":150053,"corporation":false,"usgs":true,"family":"Janousek","given":"Christopher","email":"cjanousek@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":689698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":689699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":690071,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186648,"text":"70186648 - 2017 - Nocturnal arboreality in snakes in the swamplands of the Atchafalaya Basin of south-central Louisiana and Big Thicket National Preserve of Southeast Texas","interactions":[],"lastModifiedDate":"2017-04-12T09:38:56","indexId":"70186648","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3895,"text":"Journal of North American Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Nocturnal arboreality in snakes in the swamplands of the Atchafalaya Basin of south-central Louisiana and Big Thicket National Preserve of Southeast Texas","docAbstract":"The southeastern United States is home to a diverse assemblage of snakes, but only one species, the Rough Greensnake (Opheodrys aestivus), is considered specialized for a predominantly arboreal lifestyle. Other species, such as Ratsnakes (genus Pantherophis) and Ribbonsnakes/Gartersnakes (genus Thamnophis), are widely known to climb into vegetation and trees. Some explanations given for snake climbing behavior are foraging, thermoregulation, predator avoidance, and response to flood. Reports of arboreality in snake species typically not associated with life in the trees (such as terrestrial, aquatic, and even fossorial species) usually come from single observations, with no knowledge of prevalence of the behavior. Here, we report on arboreality of snake species detected during 8 years of night surveys in the Atchafalaya Basin of south-central Louisiana and 5+ years of night surveys in Big Thicket National Preserve in southeast Texas. We recorded a total of 1,088 detections of 19 snake species between the two study areas, with 348 detections above ground level (32%). The Rough Greensnake and Western Ribbonsnake (Thamnophis proximus) accounted for nearly 75% of total arboreal detections among the two study areas. However, with one exception, all snake species detected more than once between both study areas had at least one arboreal detection. These observations demonstrate that snakes with widely varying natural histories may be found in the trees at night, and for some species, this behavior may be more common than previously believed.
","language":"English","publisher":"The Center for North American Herpetology","issn":"2333-0694","usgsCitation":"Glorioso, B.M., and Waddle, J., 2017, Nocturnal arboreality in snakes in the swamplands of the Atchafalaya Basin of south-central Louisiana and Big Thicket National Preserve of Southeast Texas: Journal of North American Herpetology, v. 2017, no. 1, p. 11-18.","productDescription":"8 p.","startPage":"11","endPage":"18","ipdsId":"IP-071658","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":339379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339346,"type":{"id":15,"text":"Index Page"},"url":"https://www.cnah.org/herpLit.aspx"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Atchafalaya Basin, Big Thicket National Preserve","volume":"2017","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753e9e4b09da6799c0c47","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":690148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":168952,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","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":false,"id":690149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186596,"text":"70186596 - 2017 - Counterintuitive roles of experience and weather on migratory performance","interactions":[],"lastModifiedDate":"2017-11-22T16:59:20","indexId":"70186596","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Counterintuitive roles of experience and weather on migratory performance","docAbstract":"Migration allows animals to live in resource-rich but seasonally variable environments. Because of the costs of migration, there is selective pressure to capitalize on variation in weather to optimize migratory performance. To test the degree to which migratory performance (defined as speed of migration) of Golden Eagles (Aquila chrysaetos) was determined by age- and season-specific responses to variation in weather, we analyzed 1,863 daily tracks (n = 83 migrant eagles) and 8,047 hourly tracks (n = 83) based on 15 min GPS telemetry data from Golden Eagles and 277 hourly tracks based on 30 s data (n = 37). Spring migrant eagles traveled 139.75 ± 82.19 km day−1 (mean ± SE; n = 57) and 25.59 ± 11.75 km hr−1 (n = 55). Autumn migrant eagles traveled 99.14 ± 59.98 km day−1 (n = 26) and 22.18 ± 9.18 km hr−1 (n = 28). Weather during migration varied by season and by age class. During spring, best-supported daily and hourly models of 15 min data suggested that migratory performance was influenced most strongly by downward solar radiation and that older birds benefited less from flow assistance (tailwinds). During autumn, best-supported daily and hourly models of 15 min data suggested that migratory performance was influenced most strongly by south–north winds and by flow assistance, again less strongly for older birds. In contrast, models for hourly performance based on data collected at 30 s intervals were not well described by a single model, likely reflecting eagles' rapid responses to the many weather conditions they experienced. Although daily speed of travel was similar for all age classes, younger birds traveled at faster hourly speeds than did adults. Our analyses uncovered strong, sometimes counterintuitive, relationships among weather, experience, and migratory flight, and they illustrate the significance of factors other than age in determining migratory performance.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-16-147.1","usgsCitation":"Rus, A.I., Duerr, A.E., Miller, T., Belthoff, J.R., and Katzner, T., 2017, Counterintuitive roles of experience and weather on migratory performance: The Auk, v. 134, no. 3, p. 485-497, https://doi.org/10.1642/AUK-16-147.1.","productDescription":"13 p.","startPage":"485","endPage":"497","ipdsId":"IP-079692","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-16-147.1","text":"Publisher Index Page"},{"id":339306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753ebe4b09da6799c0c4b","contributors":{"authors":[{"text":"Rus, Adrian I.","contributorId":190589,"corporation":false,"usgs":false,"family":"Rus","given":"Adrian","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":689689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duerr, Adam E.","contributorId":102324,"corporation":false,"usgs":true,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":689690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Tricia A.","contributorId":64790,"corporation":false,"usgs":true,"family":"Miller","given":"Tricia A.","affiliations":[],"preferred":false,"id":689691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belthoff, James R. 0000-0002-6051-2353","orcid":"https://orcid.org/0000-0002-6051-2353","contributorId":190592,"corporation":false,"usgs":false,"family":"Belthoff","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":689692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":689688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184444,"text":"fs20173020 - 2017 - Summary of hydrologic conditions in Kansas, water year 2016","interactions":[],"lastModifiedDate":"2017-04-07T09:06:52","indexId":"fs20173020","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3020","title":"Summary of hydrologic conditions in Kansas, water year 2016","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with Federal, State, and local agencies, maintains a long-term network of hydrologic monitoring sites in Kansas. Real-time data are collected at 216 streamgage sites and are verified throughout the year with regular measurements of streamflow made by USGS personnel. Annual assessments of hydrologic conditions are made by comparing statistical analyses of current and historical water year (WY) data for the period of record. A WY is the 12-month period from October 1 through September 30 and is designated by the calendar year in which the period ends. Long-term monitoring of hydrologic conditions in Kansas provides critical information for water-supply management, flood forecasting, reservoir operations, irrigation scheduling, bridge and culvert design, ecological monitoring, and many other uses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173020","usgsCitation":"Louen, J.M., 2017, Summary of hydrologic conditions in Kansas, water year 2016: U.S. Geological Survey Fact Sheet 2017–3020, 4 p., https://doi.org/10.3133/fs20173020.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-083593","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":339361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3020/fs20173020.pdf","text":"Fact Sheet","size":"7.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3020"},{"id":339360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3020/coverthb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.5977783203125,\n 39.10022600175347\n ],\n [\n -94.603271484375,\n 39.142842478062505\n ],\n [\n -94.658203125,\n 39.15988184949157\n ],\n [\n -94.7021484375,\n 39.18117526158749\n ],\n [\n -94.779052734375,\n 39.198205348894795\n ],\n [\n -94.82299804687499,\n 39.20671884491848\n ],\n [\n -94.833984375,\n 39.24501680713314\n ],\n [\n -94.8724365234375,\n 39.279041894366785\n ],\n [\n -94.910888671875,\n 39.3130504637139\n ],\n [\n -94.910888671875,\n 39.342794408952365\n ],\n [\n -94.8944091796875,\n 39.36827914916014\n ],\n [\n -94.8724365234375,\n 39.40648882684979\n ],\n [\n -94.921875,\n 39.38526381099774\n ],\n [\n -94.97131347656249,\n 39.42346418978382\n ],\n [\n -95.03173828125,\n 39.44891948347229\n ],\n [\n -95.0592041015625,\n 39.487084981687495\n ],\n [\n -95.108642578125,\n 39.54641191968671\n ],\n [\n -95.042724609375,\n 39.58452390500424\n ],\n [\n -95.0482177734375,\n 39.61838363831915\n ],\n [\n -95.03173828125,\n 39.66914219401813\n ],\n [\n -94.97131347656249,\n 39.67759833072648\n ],\n [\n -94.96856689453125,\n 39.74521015328692\n ],\n [\n -94.89990234375,\n 39.7240885773337\n ],\n [\n -94.85870361328125,\n 39.74521015328692\n ],\n [\n -94.8834228515625,\n 39.757879992021756\n ],\n [\n -94.888916015625,\n 39.79376521264885\n ],\n [\n -94.87518310546875,\n 39.82752244475985\n ],\n [\n -94.91638183593749,\n 39.84439484396462\n ],\n [\n -94.92462158203124,\n 39.884450178234395\n ],\n [\n -95.01800537109374,\n 39.89709437260048\n ],\n [\n -95.02349853515625,\n 39.87812720644829\n ],\n [\n -95.0701904296875,\n 39.86547951378614\n ],\n [\n -95.130615234375,\n 39.87601941962116\n ],\n [\n -95.14984130859374,\n 39.90130858574735\n ],\n [\n -95.18829345703125,\n 39.905522539728544\n ],\n [\n -95.2020263671875,\n 39.92448212528485\n ],\n [\n -95.24871826171875,\n 39.9434364619742\n ],\n [\n -95.31463623046875,\n 39.99605985169435\n ],\n [\n -102.041015625,\n 40.01078714046552\n ],\n [\n -102.052001953125,\n 37.00255267215955\n ],\n [\n -94.6142578125,\n 37.01132594307015\n ],\n [\n -94.5977783203125,\n 39.10022600175347\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 764 million barrels of oil and 3.5 trillion cubic feet of gas in tight reservoirs in the Permian Lucaogou Formation in the Junggar basin of northwestern China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173021","usgsCitation":"Potter, C.J., Schenk, C.J., Tennyson, M.E., Klett, T.R., Gaswirth, S.B., Leathers-Miller, H.M., Finn, T.M., Brownfield, M.E., Pitman, J.K., Mercier, T.J., Le, P.A., and Drake, R.M, II, 2017, Assessment of Permian tight oil and gas resources in the Junggar basin of China, 2016: U.S. Geological Survey Fact Sheet 2017–3021, 2 p., https://doi.org/10.3133/fs20173021.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-081484","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":339144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3021/coverthb.jpg"},{"id":339145,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3021/fs20173021.pdf","text":"Report","size":"1.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3021"}],"country":"China","otherGeospatial":"Junngar Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 81.27685546875,\n 42.342305278572816\n ],\n [\n 90.703125,\n 42.342305278572816\n ],\n [\n 90.703125,\n 47.53203824675999\n ],\n [\n 81.27685546875,\n 47.53203824675999\n ],\n [\n 81.27685546875,\n 42.342305278572816\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Gentle sediment-laden slopes are typical of the onshore coastal zone and offshore continental shelf and slope. Coastal sediment are commonly young weakly consolidated materials that are well stratified, have low strength, and can mobilize shear displacements at low levels of stress. Seismically-driven plastic displacements of these sediment pose a hazard to coastal cities, buried onshore utilities, and offshore infrastructure like harbor protection and outfalls. One-dimensional rigid downslope-directed Newmark sliding block analyses have been used to predict earthquake deformations generally on steeper slopes that are modeled as frictional materials. This study probes the effect of multidirectional earthquake motions on inertial displacements of gently sloping ground of the coastal and offshore condition where soft-compliant soil is expected. Toward that objective, this investigation seeks to understand the effect on Newmark-type displacements of [1] multidirectional earthquake shaking and [2] soil compliance. In order to model multidirectional effects, the earthquake motions are rotated into the local slope strike- and dip-components. On gently sloping ground, including the strike component of motion always results in a larger and more accurate shear stress vector. Strike motions are found to contribute to downslope deformations on any declivity. Compliant response of the soil mass also influences the plastic displacements. The magnitude of seismic displacements can be estimated with a simplified model using only the estimated soil yield-acceleration (ky) and the peak ground velocity (Vmax) of the earthquake motions. Compliance effects can be effectively mapped using the concept of Plastic Displacement Response Spectra (PDRS).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2016.12.009","usgsCitation":"Kayen, R.E., 2017, Seismic displacement of gently-sloping coastal and marine sediment under multidirectional earthquake loading: Engineering Geology, v. 227, p. 84-92, https://doi.org/10.1016/j.enggeo.2016.12.009.","productDescription":"9 p.","startPage":"84","endPage":"92","ipdsId":"IP-081076","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469943,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2016.12.009","text":"Publisher Index Page"},{"id":339263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e6026ce4b09da6799ac671","chorus":{"doi":"10.1016/j.enggeo.2016.12.009","url":"http://dx.doi.org/10.1016/j.enggeo.2016.12.009","publisher":"Elsevier BV","authors":"Kayen Robert","journalName":"Engineering Geology","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Kayen, Robert E. 0000-0002-0356-072X rkayen@usgs.gov","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":140764,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"rkayen@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":689637,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70186586,"text":"70186586 - 2017 - Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA","interactions":[],"lastModifiedDate":"2017-04-05T15:45:36","indexId":"70186586","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA","docAbstract":"We present a quantitative analysis of habitat availability in a highly regulated lowland river, comparing a restored reach with two reference reaches: an un-restored, channelized reach, and a least-altered reach. We evaluate the effects of channel modifications in terms of distributions of depth and velocity as well as distributions and availability of habitats thought to be supportive of an endangered fish, the pallid sturgeon (Scaphirhynchus albus). It has been hypothesized that hydraulic conditions that support food production and foraging may limit growth and survival of juvenile pallid sturgeon. To evaluate conditions that support these habitats, we constructed two-dimensional hydrodynamic models for the three study reaches, two located in the Lower Missouri River (channelized and restored reaches) and one in the Yellowstone River (least-altered reach). Comparability among the reaches was improved by scaling by bankfull discharge and bankfull channel area. The analysis shows that construction of side-channel chutes and increased floodplain connectivity increase the availability of foraging habitat, resulting in a system that is more similar to the reference reach on the Yellowstone River. The availability of food-producing habitat is low in all reaches at flows less than bankfull, but the two reaches in the Lower Missouri River – channelized and restored – display a threshold-like response as flows overtop channel banks, reflecting the persistent effects of channelization on hydraulics in the main channel. These high lateral gradients result in punctuated ecological events corresponding to flows in excess of bankfull discharge. This threshold effect in the restored reach remains distinct from that of the least-altered reference reach, where hydraulic changes are less abrupt and overbank flows more gradually inundate the adjacent floodplain. The habitat curves observed in the reference reach on the Yellowstone River may not be attainable within the channelized system on the Missouri River, but the documented hydraulic patterns can be used to inform ongoing channel modifications. Although scaling to bankfull dimensions and discharges provides a basis for comparing the three reaches, implementation of the reference reach concept was complicated by differences in flow-frequency distributions among sites. In particular, habitat availability in the least-altered Yellowstone River reach is affected by increased frequency of low-flow events (less than 0.5 times bankfull flow) and moderately high-flow events (greater than 1.5 times bankfull flow) compared to downstream reaches on the Lower Missouri River.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2017.03.004","usgsCitation":"Erwin, S.O., Jacobson, R.B., and Elliott, C.M., 2017, Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA: Ecological Engineering, v. 103, no. Part A, p. 59-75, https://doi.org/10.1016/j.ecoleng.2017.03.004.","productDescription":"17 p.","startPage":"59","endPage":"75","ipdsId":"IP-083466","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":461643,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2017.03.004","text":"Publisher Index Page"},{"id":438384,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TB154R","text":"USGS data release","linkHelpText":"Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA-Data"},{"id":339261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Missouri River","volume":"103","issue":"Part A","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e6026be4b09da6799ac66d","contributors":{"authors":[{"text":"Erwin, Susannah O. 0000-0002-2799-0118 serwin@usgs.gov","orcid":"https://orcid.org/0000-0002-2799-0118","contributorId":5183,"corporation":false,"usgs":true,"family":"Erwin","given":"Susannah","email":"serwin@usgs.gov","middleInitial":"O.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":689657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":689658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":689659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186576,"text":"70186576 - 2017 - Observations and a linear model of water level in an interconnected inlet-bay system","interactions":[],"lastModifiedDate":"2017-06-01T10:36:49","indexId":"70186576","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Observations and a linear model of water level in an interconnected inlet-bay system","docAbstract":"A system of barrier islands and back-barrier bays occurs along southern Long Island, New York, and in many coastal areas worldwide. Characterizing the bay physical response to water level fluctuations is needed to understand flooding during extreme events and evaluate their relation to geomorphological changes. Offshore sea level is one of the main drivers of water level fluctuations in semienclosed back-barrier bays. We analyzed observed water levels (October 2007 to November 2015) and developed analytical models to better understand bay water level along southern Long Island. An increase (∼0.02 m change in 0.17 m amplitude) in the dominant M2 tidal amplitude (containing the largest fraction of the variability) was observed in Great South Bay during mid-2014. The observed changes in both tidal amplitude and bay water level transfer from offshore were related to the dredging of nearby inlets and possibly the changing size of a breach across Fire Island caused by Hurricane Sandy (after December 2012). The bay response was independent of the magnitude of the fluctuations (e.g., storms) at a specific frequency. An analytical model that incorporates bay and inlet dimensions reproduced the observed transfer function in Great South Bay and surrounding areas. The model predicts the transfer function in Moriches and Shinnecock bays where long-term observations were not available. The model is a simplified tool to investigate changes in bay water level and enables the evaluation of future conditions and alternative geomorphological settings.
","language":"English","publisher":"AGU","doi":"10.1002/2016JC012318","usgsCitation":"Aretxabaleta, A., Ganju, N.K., Butman, B., and Signell, R.P., 2017, Observations and a linear model of water level in an interconnected inlet-bay system: Journal of Geophysical Research C: Oceans, v. 122, no. 4, p. 2760-2780, https://doi.org/10.1002/2016JC012318.","productDescription":"21 p.","startPage":"2760","endPage":"2780","ipdsId":"IP-079414","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469944,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012318","text":"Publisher Index Page"},{"id":339265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-04","publicationStatus":"PW","scienceBaseUri":"58e6026de4b09da6799ac673","chorus":{"doi":"10.1002/2016jc012318","url":"http://dx.doi.org/10.1002/2016jc012318","publisher":"Wiley-Blackwell","authors":"Aretxabaleta Alfredo L., Ganju Neil K., Butman Bradford, Signell Richard P.","journalName":"Journal of Geophysical Research: Oceans","publicationDate":"4/4/2017","publiclyAccessibleDate":"4/4/2017"},"contributors":{"authors":[{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":174763,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":689634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689636,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70120660,"text":"70120660 - 2017 - The logic of selecting an appropriate map projection in a Decision Support System (DSS)","interactions":[],"lastModifiedDate":"2017-06-07T15:48:46","indexId":"70120660","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The logic of selecting an appropriate map projection in a Decision Support System (DSS)","docAbstract":"There are undeniable practical consequences to consider when choosing an appropriate map projection for a specific region. The surface of a globe covered by global, continental, and regional maps are so singular that each type distinctively affects the amount of distortion incurred during a projection transformation because of the an assortment of effects caused by distance, direction, scale , and area. A Decision Support System (DSS) for Map Projections of Small Scale Data was previously developed to help select an appropriate projection. This paper reports on a tutorial to accompany that DSS. The DSS poses questions interactively, allowing the user to decide on the parameters, which in turn determines the logic path to a solution. The objective of including a tutorial to accompany the DSS is achieved by visually representing the path of logic that is taken to a recommended map projection derived from the parameters the user selects. The tutorial informs the DSS user about the pedigree of the projection and provides a basic explanation of the specific projection design. This information is provided by informational pop-ups and other aids.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Choosing a Map Projection","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Cham, Switzerland","doi":"10.1007/978-3-319-51835-0_10","usgsCitation":"Finn, M.P., Usery, E.L., Woodard, L.N., and Yamamoto, K.H., 2017, The logic of selecting an appropriate map projection in a Decision Support System (DSS), chap. of Choosing a Map Projection, p. 229-245, https://doi.org/10.1007/978-3-319-51835-0_10.","productDescription":"17 p.","startPage":"229","endPage":"245","ipdsId":"IP-053623","costCenters":[],"links":[{"id":342277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2017-04-05","publicationStatus":"PW","scienceBaseUri":"593910abe4b0764e6c5e884c","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":519223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":519222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodard, Laura N.","contributorId":9733,"corporation":false,"usgs":true,"family":"Woodard","given":"Laura","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":519225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yamamoto, Kristina H. khyamamoto@usgs.gov","contributorId":4490,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Kristina","email":"khyamamoto@usgs.gov","middleInitial":"H.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":519224,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185962,"text":"pp1833 - 2017 - Brackish groundwater in the United States","interactions":[],"lastModifiedDate":"2017-07-18T14:56:30","indexId":"pp1833","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1833","title":"Brackish groundwater in the United States","docAbstract":"For some parts of the Nation, large-scale development of groundwater has caused decreases in the amount of groundwater that is present in aquifer storage and that discharges to surface-water bodies. Water supply in some areas, particularly in arid and semiarid regions, is not adequate to meet demand, and severe drought is affecting large parts of the United States. Future water demand is projected to heighten the current stress on groundwater resources. This combination of factors has led to concerns about the availability of freshwater to meet domestic, agricultural, industrial, mining, and environmental needs. To ensure the water security of the Nation, currently [2016] untapped water sources may need to be developed.
Brackish groundwater is an unconventional water source that may offer a partial solution to current and future water demands. In support of the national census of water resources, the U.S. Geological Survey completed the national brackish groundwater assessment to better understand the occurrence and characteristics of brackish groundwater in the United States as a potential water resource. Analyses completed as part of this assessment relied on previously collected data from multiple sources; no new data were collected. Compiled data included readily available information about groundwater chemistry, horizontal and vertical extents and hydrogeologic characteristics of principal aquifers (regionally extensive aquifers or aquifer systems that have the potential to be used as a source of potable water), and groundwater use. Although these data were obtained from a wide variety of sources, the compiled data are biased toward shallow and fresh groundwater resources; data representing groundwater that is at great depths and is saline were not as readily available.
One of the most important contributions of this assessment is the creation of a database containing chemical characteristics and aquifer information for the known areas with brackish groundwater in the United States. Previously published digital data relating to brackish groundwater resources were limited to a small number of State- and regional-level studies. Data sources for this assessment ranged from single publications to large datasets and from local studies to national assessments. Geochemical data included concentrations of dissolved solids, major ions, trace elements, nutrients, and radionuclides as well as physical properties of the water (pH, temperature, and specific conductance). Additionally, the database provides selected well information (location, yield, depth, and contributing aquifer) necessary for evaluating the water resource.
The assessment was divided into national-, regional-, and aquifer-scale analyses. National-scale analyses included evaluation of the three-dimensional distribution of observed dissolved-solids concentrations in groundwater, the three-dimensional probability of brackish groundwater occurrence, and the geochemical characteristics of saline (greater than or equal to 1,000 mg/L of dissolved solids) groundwater resources. Regional-scale analyses included a summary of the percentage of observed grid cell volume in the region that was occupied by brackish groundwater within the mixture of air, water, and rock for multiple depth intervals. Aquifer-scale analyses focused primarily on four regions that contained the largest amounts of observed brackish groundwater and included a generalized description of hydrogeologic characteristics from previously published work; the distribution of dissolved-solids concentrations; considerations for developing brackish groundwater resources, including a summary of other chemical characteristics that may limit the use of brackish groundwater and the ability of sampled wells producing brackish groundwater to yield useful amounts of water; and the amount of saline groundwater being used in 2010.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1833","collaboration":"Water Availability and Use Science Program","usgsCitation":"Stanton, J.S., Anning, D.W., Brown, C.J., Moore, R.B., McGuire, V.L., Qi, S.L., Harris, A.C., Dennehy, K.F., McMahon, P.B., Degnan, J.R., and Böhlke, J.K., 2017, Brackish groundwater in the United States: U.S. Geological Survey Professional Paper 1833, 185 p., https://doi.org/10.3133/pp1833.","productDescription":"Report: xii, 185 p.; Figures: 4 Oversize, 4 Layered; Appendixes: Table, 4, 3-D Figures; Fact Sheet; Read Me; Data Release; Project Site","numberOfPages":"202","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":338729,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig27_interactive.pdf","text":"Figure 27 ","size":"922 kB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 27 Interactive","linkHelpText":"Principal aquifers within the Eastern Midcontinent region [layered pdf; see readme.txt for information]"},{"id":338731,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig41_interactive.pdf","text":"Figure 41","size":"983 kB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 41 Interactive","linkHelpText":"Principal aquifers within the Western Midcontinent region [layered pdf; see readme.txt for information]"},{"id":338730,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig35_interactive.pdf","text":"Figure 35 ","size":"1.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 35 Interactive","linkHelpText":"Principal aquifers within the Southwestern Basin region [layered pdf; see readme.txt for information]"},{"id":338732,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_appendix1.xlsx","text":"Appendix Table 1–1","size":"24.3 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1833 Appendix Table 1–1 XLSX","linkHelpText":"Effects of significant regression model predictor variables"},{"id":338733,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_appendix1.csv","text":"Appendix Table 1–1","size":"12.0 kB","linkFileType":{"id":7,"text":"csv"},"description":"PP 1833 Appendix Table 1–1 CSV","linkHelpText":"Effects of significant regression model predictor variables"},{"id":338737,"rank":16,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig04-4D_3D.pdf","text":"Appendix Figure 4–4D","size":"4.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Appendix Figure 4–4 3D","linkHelpText":"Interactive wire frame model of the Denver Basin aquifer system [see readme.txt for information]"},{"id":338736,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig04-3D_3D.pdf","text":"Appendix Figure 4–3D","size":"4.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Appendix Figure 4–3 3D","linkHelpText":"Interactive wire frame model of the Central Valley aquifer system [see readme.txt for information]"},{"id":338705,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1833/coverthb.jpg"},{"id":338993,"rank":19,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/pp/1833/readMe.txt","text":"Read Me","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"PP 1833 Read Me"},{"id":338723,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1833/pp1833.pdf","text":"Report","size":"41.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833"},{"id":343983,"rank":20,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20173054","text":"Fact Sheet 2017–3054","description":"FS 2017–3054","linkHelpText":"Brackish Groundwater and its Potential to Augment Freshwater Supplies"},{"id":338734,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig04-1D_3D.pdf","text":"Appendix Figure 4–1D","size":"6.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Appendix Figure 4–1 3D","linkHelpText":"Interactive wire frame model of the Coastal lowlands aquifer system [see readme.txt for information]"},{"id":338735,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig04-2D_3D.pdf","text":"Appendix Figure 4–2D","size":"4.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Appendix Figure 4–2 3D","linkHelpText":"Interactive wire frame model of the Marshall aquifer [see readme.txt for information]"},{"id":338724,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig09_lg.pdf","text":"Figure 9 Enlarged","size":"61.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 9 Enlarged","linkHelpText":"Maximum dissolved-solids concentrations"},{"id":338728,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig21_interactive.pdf","text":"Figure 21 ","size":"851 kB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 21 Interactive","linkHelpText":"Principal aquifers within the Coastal Plains region [layered pdf; see readme.txt for information]"},{"id":338725,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig10_lg.pdf","text":"Figure 10 Enlarged","size":"16.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 10 Enlarged","linkHelpText":"Observed minimum depth to brackish or highly saline groundwater"},{"id":338738,"rank":17,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72F7KK1","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Geochemical database for the brackish groundwater assessment of the United States"},{"id":338739,"rank":18,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/wausp/","text":"Water Availability and Use Science Program (WAUSP)","description":"Project Web Page"},{"id":338726,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig14_lg.pdf","text":"Figure 14 Enlarged","size":"58.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 14 Enlarged","linkHelpText":"Distribution of geochemical groups at depths"},{"id":338727,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig15_lg.pdf","text":"Figure 15 Enlarged","size":"15.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 15 Enlarged","linkHelpText":"Distribution of geochemical groups for the shallowest observed occurrences of saline groundwater"}],"country":"United States","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
https://newengland.water.usgs.gov/
","tableOfContents":"Vernal pool fairy shrimp, Branchinecta lynchi, (Branchiopoda; Anostraca) and other fairy shrimp species have been listed as threatened or endangered under the US Endangered Species Act. Because few data exist about the sensitivity of Branchinecta spp. to toxic effects of contaminants, it is difficult to determine whether they are adequately protected by water quality criteria. A series of acute (24-h) lethality/immobilization tests was conducted with 3 species of fairy shrimp (B. lynchi, Branchinecta lindahli, and Thamnocephalus platyurus) and 10 chemicals with varying modes of toxic action: ammonia, potassium, chloride, sulfate, chromium(VI), copper, nickel, zinc, alachlor, and metolachlor. The same chemicals were tested in 48-h tests with other branchiopods (the cladocerans Daphnia magna and Ceriodaphnia dubia) and an amphipod (Hyalella azteca), and in 96-h tests with snails (Physa gyrina and Lymnaea stagnalis). Median effect concentrations (EC50s) for B. lynchi were strongly correlated (r2 = 0.975) with EC50s for the commercially available fairy shrimp species T. platyurus for most chemicals tested. Comparison of EC50s for fairy shrimp and EC50s for invertebrate taxa tested concurrently and with other published toxicity data indicated that fairy shrimp were relatively sensitive to potassium and several trace metals compared with other invertebrate taxa, although cladocerans, amphipods, and mussels had similar broad toxicant sensitivity. Interspecies correlation estimation models for predicting toxicity to fairy shrimp from surrogate species indicated that models with cladocerans and freshwater mussels as surrogates produced the best predictions of the sensitivity of fairy shrimp to contaminants. The results of these studies indicate that fairy shrimp are relatively sensitive to a range of toxicants, but Endangered Species Act-listed fairy shrimp of the genus Branchinecta were not consistently more sensitive than other fairy shrimp taxa. Environ Toxicol Chem 2017;36:797–806. Published 2016 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3723","usgsCitation":"Ivey, C.D., Besser, J.M., Ingersoll, C.G., Wang, N., Rogers, D.C., Raimondo, S., Bauer, C.R., and Hammer, E.J., 2017, Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to 10 chemicals: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 797-806, https://doi.org/10.1002/etc.3723.","productDescription":"10 p.","startPage":"797","endPage":"806","ipdsId":"IP-079384","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438382,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0C72","text":"USGS data release","linkHelpText":"Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to ten chemicals-Data"},{"id":339183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-26","publicationStatus":"PW","scienceBaseUri":"58e6026ee4b09da6799ac679","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogers, D. 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Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":688569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":688570,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186552,"text":"70186552 - 2017 - Legacy introductions and climatic variation explain spatiotemporal patterns of invasive hybridization in a native trout","interactions":[],"lastModifiedDate":"2017-10-08T11:34:53","indexId":"70186552","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Legacy introductions and climatic variation explain spatiotemporal patterns of invasive hybridization in a native trout","docAbstract":"Hybridization between invasive and native species, a significant threat to worldwide biodiversity, is predicted to increase due to climate-induced expansions of invasive species. Long-term research and monitoring are crucial for understanding the ecological and evolutionary processes that modulate the effects of invasive species. Using a large, multi-decade genetics dataset (N = 582 sites, 12,878 individuals) with high-resolution climate predictions and extensive stocking records, we evaluate the spatiotemporal dynamics of hybridization between native cutthroat trout and invasive rainbow trout, the world’s most widely introduced invasive fish, across the northern Rocky Mountains of the United States. Historical effects of stocking and contemporary patterns of climatic variation were strongly related to the spread of hybridization across space and time. The probability of occurrence, extent of, and temporal changes in hybridization increased at sites in close proximity to historical stocking locations with greater rainbow trout propagule pressure, warmer water temperatures, and lower spring precipitation. Although locations with warmer water temperatures were more prone to hybridization, cold sites were not protected from invasion; 58% of hybridized sites had cold mean summer water temperatures (<11°C). Despite cessation of stocking over 40 years ago, hybridization increased over time at half (50%) of the locations with long-term data, the vast majority of which (74%) were initially non-hybridized, emphasizing the chronic, negative impacts of human-mediated hybridization. These results show that effects of climate change on biodiversity must be analyzed in the context of historical human impacts that set ecological and evolutionary trajectories.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13681","usgsCitation":"Muhlfeld, C.C., Kovach, R.P., Al-Chokhachy, R.K., Amish, S.J., Kershner, J.L., Leary, R., Lowe, W.H., Luikart, G., Matson, P., Schmetterling, D.A., Shepard, B.B., Westley, P.A., Whited, D., Whiteley, A.R., and Allendorf, F.W., 2017, Legacy introductions and climatic variation explain spatiotemporal patterns of invasive hybridization in a native trout: Global Change Biology, v. 23, no. 11, p. 4663-4674, https://doi.org/10.1111/gcb.13681.","productDescription":"12 p.","startPage":"4663","endPage":"4674","ipdsId":"IP-078684","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13681","text":"Publisher Index 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H.","affiliations":[],"preferred":false,"id":688717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Whited, Diane","contributorId":126718,"corporation":false,"usgs":false,"family":"Whited","given":"Diane","affiliations":[{"id":6576,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":688718,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":688719,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Allendorf, Fred W.","contributorId":124525,"corporation":false,"usgs":false,"family":"Allendorf","given":"Fred","email":"","middleInitial":"W.","affiliations":[{"id":5084,"text":"Division of Biological Sciences, University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":688720,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70186298,"text":"70186298 - 2017 - Genetic structure among greater white-fronted goose populations of the Pacific Flyway","interactions":[],"lastModifiedDate":"2017-05-08T15:59:17","indexId":"70186298","displayToPublicDate":"2017-04-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure among greater white-fronted goose populations of the Pacific Flyway","docAbstract":"An understanding of the genetic structure of populations in the wild is essential for long-term conservation and stewardship in the face of environmental change. Knowledge of the present-day distribution of genetic lineages (phylogeography) of a species is especially important for organisms that are exploited or utilize habitats that may be jeopardized by human intervention, including climate change. Here, we describe mitochondrial (mtDNA) and nuclear genetic (microsatellite) diversity among three populations of a migratory bird, the greater white-fronted goose (Anser albifrons), which breeds discontinuously in western and southwestern Alaska and winters in the Pacific Flyway of North America. Significant genetic structure was evident at both marker types. All three populations were differentiated for mtDNA, whereas microsatellite analysis only differentiated geese from the Cook Inlet Basin. In sexual reproducing species, nonrandom mate selection, when occurring in concert with fine-scale resource partitioning, can lead to phenotypic and genetic divergence as we observed in our study. If mate selection does not occur at the time of reproduction, which is not uncommon in long-lived organisms, then mechanisms influencing the true availability of potential mates may be obscured, and the degree of genetic and phenotypic diversity may appear incongruous with presumed patterns of gene flow. Previous investigations revealed population-specific behavioral, temporal, and spatial mechanisms that likely influence the amount of gene flow measured among greater white-fronted goose populations. The degree of observed genetic structuring aligns well with our current understanding of population differences pertaining to seasonal movements, social structure, pairing behavior, and resource partitioning.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2934","usgsCitation":"Ely, C.R., Wilson, R.E., and Talbot, S.L., 2017, Genetic structure among greater white-fronted goose populations of the Pacific Flyway: Ecology and Evolution, v. 7, no. 9, p. 2956-2968, https://doi.org/10.1002/ece3.2934.","productDescription":"23 p.","startPage":"2956","endPage":"2968","ipdsId":"IP-077907","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2934","text":"Publisher Index Page"},{"id":339124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da679997774","contributors":{"authors":[{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":688253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":688254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":688255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186294,"text":"70186294 - 2017 - The Beringian coevolution project: Holistic collections of mammals and associated parasites reveal novel perspectives on evolutionary and environmental change in the North","interactions":[],"lastModifiedDate":"2018-06-12T20:57:26","indexId":"70186294","displayToPublicDate":"2017-04-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5363,"text":"Arctic Science","active":true,"publicationSubtype":{"id":10}},"title":"The Beringian coevolution project: Holistic collections of mammals and associated parasites reveal novel perspectives on evolutionary and environmental change in the North","docAbstract":"The Beringian Coevolution Project (BCP), a field program underway in the high northern latitudes since 1999, has focused on building key scientific infrastructure for integrated specimen-based studies on mammals and their associated parasites. BCP has contributed new insights across temporal and spatial scales into how ancient climate and environmental change have shaped faunas, emphasizing processes of assembly, persistence, and diversification across the vast Beringian region. BCP collections also represent baseline records of biotic diversity from across the northern high latitudes at a time of accelerated environmental change. These specimens and associated data form an unmatched resource for identifying hidden diversity, interpreting past responses to climate oscillations, documenting contemporary conditions, and anticipating outcomes for complex biological systems in a regime of ecological perturbation. Because of its dual focus on hosts and parasites, the BCP record also provides a foundation for comparative analyses that can document the effects of dynamic change on the geographic distribution, transmission dynamics, and emergence of pathogens. By using specific examples from carnivores, shrews, lagomorphs, rodents and their associated parasites, we demonstrate how broad, integrated field collections provide permanent infrastructure that informs policy decisions regarding human impact and the effect of climate change on natural populations.","language":"English","publisher":"NRC Research Press","doi":"10.1139/AS-2016-0042","usgsCitation":"Cook, J.A., Galbreath, K.E., Campbell, M., Carriere, S., Colella, J.P., Dawson, N.G., Dunnum, J.L., Eckerlin, R.P., Greiman, S.E., Fedorov, V.B., Haas, G.M., Haukisalmi, V., Henttonen, H., Hope, A.G., Jackson, D., Jung, T., Koehler, A.V., Kinsella, J.M., Krejsa, D., Kutz, S.J., Liphardt, S., MacDonald, S.O., Malaney, J.L., Makarikov, A., Martin, J., McLean, B.S., Mulders, R., Nyamsuren, B., Talbot, S.L., Tkach, V.V., Tsvetkova, A., Toman, H.M., Waltari, E.C., Whitman, J.S., and Hoberg, E.P., 2017, The Beringian coevolution project: Holistic collections of mammals and associated parasites reveal novel perspectives on evolutionary and environmental change in the North: Arctic Science, v. 3, no. 3, p. 585-617, https://doi.org/10.1139/AS-2016-0042.","productDescription":"33 p.","startPage":"585","endPage":"617","ipdsId":"IP-079785","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2016-0042","text":"Publisher Index Page"},{"id":339130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da679997776","contributors":{"authors":[{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":688188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galbreath, Kurt E.","contributorId":48867,"corporation":false,"usgs":true,"family":"Galbreath","given":"Kurt","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":688189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Mariel","contributorId":190330,"corporation":false,"usgs":false,"family":"Campbell","given":"Mariel","email":"","affiliations":[],"preferred":false,"id":688190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carriere, Susanne","contributorId":190331,"corporation":false,"usgs":false,"family":"Carriere","given":"Susanne","email":"","affiliations":[],"preferred":false,"id":688191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":688192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dawson, Natalie G.","contributorId":190333,"corporation":false,"usgs":false,"family":"Dawson","given":"Natalie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":688193,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunnum, Jonathan L.","contributorId":190334,"corporation":false,"usgs":false,"family":"Dunnum","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":688194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eckerlin, Ralph P.","contributorId":190335,"corporation":false,"usgs":false,"family":"Eckerlin","given":"Ralph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":688195,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Greiman, Stephen E.","contributorId":190336,"corporation":false,"usgs":false,"family":"Greiman","given":"Stephen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":688196,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fedorov, Vadim B.","contributorId":190337,"corporation":false,"usgs":false,"family":"Fedorov","given":"Vadim","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":688197,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haas, Genevieve M. 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