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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","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/
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":70186672,"text":"70186672 - 2017 - Observations and 3D hydrodynamics-based modeling of decadal-scale shoreline change along the Outer Banks, North Carolina","interactions":[],"lastModifiedDate":"2017-04-07T09:34:37","indexId":"70186672","displayToPublicDate":"2017-04-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Observations and 3D hydrodynamics-based modeling of decadal-scale shoreline change along the Outer Banks, North Carolina","docAbstract":"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":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":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":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":690149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":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":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":"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":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","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":70186557,"text":"70186557 - 2017 - Occurrence of neonicotinoid insecticides in finished drinking water and fate during drinking water treatment","interactions":[],"lastModifiedDate":"2017-05-10T14:12:59","indexId":"70186557","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of neonicotinoid insecticides in finished drinking water and fate during drinking water treatment","docAbstract":"Neonicotinoid insecticides are widespread in surface waters across the agriculturally-intensive Midwestern US. We report for the first time the presence of three neonicotinoids in finished drinking water and demonstrate their general persistence during conventional water treatment. Periodic tap water grab samples were collected at the University of Iowa over seven weeks in 2016 (May-July) after maize/soy planting. Clothianidin, imidacloprid, and thiamethoxam were ubiquitously detected in finished water samples and ranged from 0.24-57.3 ng/L. Samples collected along the University of Iowa treatment train indicate no apparent removal of clothianidin and imidacloprid, with modest thiamethoxam removal (~50%). In contrast, the concentrations of all neonicotinoids were substantially lower in the Iowa City treatment facility finished water using granular activated carbon (GAC) filtration. Batch experiments investigated potential losses. Thiamethoxam losses are due to base-catalyzed hydrolysis at high pH conditions during lime softening. GAC rapidly and nearly completely removed all three neonicotinoids. Clothianidin is susceptible to reaction with free chlorine and may undergo at least partial transformation during chlorination. Our work provides new insights into the persistence of neonicotinoids and their potential for transformation during water treatment and distribution, while also identifying GAC as an effective management tool to lower neonicotinoid concentrations in finished drinking water.","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.estlett.7b00081","usgsCitation":"Klarich, K.L., Pflug, N.C., DeWald, E.M., Hladik, M., Kolpin, D.W., Cwiertny, D.M., and LeFevre, G.H., 2017, Occurrence of neonicotinoid insecticides in finished drinking water and fate during drinking water treatment: Environmental Science & Technology Letters, v. 4, no. 5, https://doi.org/10.1021/acs.estlett.7b00081.","productDescription":"6 p.","startPage":"173","ipdsId":"IP-082188","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":469945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.7b00081","text":"Publisher Index Page"},{"id":339270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","edition":"168","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-05","publicationStatus":"PW","scienceBaseUri":"58e6026de4b09da6799ac675","chorus":{"doi":"10.1021/acs.estlett.7b00081","url":"http://dx.doi.org/10.1021/acs.estlett.7b00081","publisher":"American Chemical Society (ACS)","authors":"Klarich Kathryn L., Pflug Nicholas C., DeWald Eden M., Hladik Michelle L., Kolpin Dana W., Cwiertny David M., LeFevre Gregory H.","journalName":"Environmental Science & Technology Letters","publicationDate":"4/5/2017","auditedOn":"4/8/2017","publiclyAccessibleDate":"4/5/2017"},"contributors":{"authors":[{"text":"Klarich, Kathryn L.","contributorId":190554,"corporation":false,"usgs":false,"family":"Klarich","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":689564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pflug, Nicholas C.","contributorId":190555,"corporation":false,"usgs":false,"family":"Pflug","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":689565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWald, Eden M.","contributorId":190556,"corporation":false,"usgs":false,"family":"DeWald","given":"Eden","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":689566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":689563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":689569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cwiertny, David M.","contributorId":190557,"corporation":false,"usgs":false,"family":"Cwiertny","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":689567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeFevre, Gergory H.","contributorId":190558,"corporation":false,"usgs":false,"family":"LeFevre","given":"Gergory","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":689568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"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 Page"},{"id":339275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"23","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-04","publicationStatus":"PW","scienceBaseUri":"58e6026de4b09da6799ac677","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":688708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovach, Ryan P. rkovach@usgs.gov","contributorId":5772,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","middleInitial":"P.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":688709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":688710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":688711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":688712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leary, Robb F.","contributorId":126726,"corporation":false,"usgs":false,"family":"Leary","given":"Robb F.","affiliations":[{"id":6582,"text":"Montana Fish, Wildlife and Parks, Missoula, Montana 59801, USA","active":true,"usgs":false}],"preferred":false,"id":688713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":688721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":688714,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matson, Phil","contributorId":190529,"corporation":false,"usgs":false,"family":"Matson","given":"Phil","email":"","affiliations":[],"preferred":false,"id":688715,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schmetterling, David A.","contributorId":20223,"corporation":false,"usgs":true,"family":"Schmetterling","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":689675,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":688716,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Westley, Peter A. H.","contributorId":190530,"corporation":false,"usgs":false,"family":"Westley","given":"Peter","email":"","middleInitial":"A. 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":70186519,"text":"70186519 - 2017 - Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to 10 chemicals","interactions":[],"lastModifiedDate":"2017-04-05T08:54:31","indexId":"70186519","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to 10 chemicals","docAbstract":"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. Christopher","contributorId":190496,"corporation":false,"usgs":false,"family":"Rogers","given":"D.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":688567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raimondo, Sandy","contributorId":150748,"corporation":false,"usgs":false,"family":"Raimondo","given":"Sandy","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":688568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. 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":70186366,"text":"70186366 - 2017 - Fungal and bacterial contributions to nitrogen cycling in cheatgrass-invaded and uninvaded native sagebrush soils of the western USA","interactions":[],"lastModifiedDate":"2017-11-22T17:01:54","indexId":"70186366","displayToPublicDate":"2017-04-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Fungal and bacterial contributions to nitrogen cycling in cheatgrass-invaded and uninvaded native sagebrush soils of the western USA","docAbstract":"Aim
There is interest in determining how cheatgrass (Bromus tectorum L.) modifies N cycling in sagebrush (Artemisia tridentata Nutt.) soils of the western USA.
Methods
To gain insight into the roles of fungi and bacteria in N cycling of cheatgrass-invaded and uninvaded sagebrush soils, the fungal protein synthesis inhibitor, cycloheximide (CHX), and the bacteriocidal compound, bronopol (BRO) were combined with a 15NH4+ isotope pool dilution approach.
Results
CHX reduced gross N mineralization to the same rate in both sagebrush and cheatgrass soils indicating a role for fungi in N mineralization in both soil types. In cheatgrass soils BRO completely inhibited gross N mineralization, whereas, in sagebrush soils a BRO-resistant gross N mineralization rate was detected that was slower than CHX sensitive gross N mineralization, suggesting that the microbial drivers of gross N mineralization were different in sagebrush and cheatgrass soils. Net N mineralization was stimulated to a higher rate in sagebrush than in cheatgrass soils by CHX, implying that a CHX inhibited N sink was larger in the former than the latter soils. Initial gross NH4+ consumption rates were reduced significantly by both CHX and BRO in both soil types, yet, consumption rates recovered significantly between 24 and 48 h in CHX-treated sagebrush soils. The recovery of NH4+ consumption in sagebrush soils corresponded with an increase in the rate of net nitrification.
Conclusions
These results suggest that cheatgrass invasion of sagebrush soils of the northern Great Basin reduces the capacity of the fungal N consumption sink, enhances the capacity of a CHX resistant N sink and alters the contributions of bacteria and fungi to gross N mineralization.
Plumes of buoyant river water spread in the ocean from river mouths, and these plumes influence water quality, sediment dispersal, primary productivity, and circulation along the world’s coasts. Most investigations of river plumes have focused on large rivers in a coastal region, for which the physical spreading of the plume is assumed to be independent from the influence of other buoyant plumes. Here we provide new understanding of the spreading patterns of multiple plumes interacting along simplified coastal settings by investigating: (i) the relative likelihood of plume-to-plume interactions at different settings using geophysical scaling, (ii) the diversity of plume frontal collision types and the effects of these collisions on spreading patterns of plume waters using a two-dimensional hydrodynamic model, and (iii) the fundamental differences in plume spreading patterns between coasts with single and multiple rivers using a three-dimensional hydrodynamic model. Geophysical scaling suggests that coastal margins with numerous small rivers (watershed areas < 10,000 km2), such as found along most active geologic coastal margins, were much more likely to have river plumes that collide and interact than coastal settings with large rivers (watershed areas > 100,000 km2). When two plume fronts meet, several types of collision attributes were found, including refection, subduction and occlusion. We found that the relative differences in pre-collision plume densities and thicknesses strongly influenced the resulting collision types. The three-dimensional spreading of buoyant plumes was found to be influenced by the presence of additional rivers for all modeled scenarios, including those with and without Coriolis and wind. Combined, these results suggest that plume-to-plume interactions are common phenomena for coastal regions offshore of the world’s smaller rivers and for coastal settings with multiple river mouths in close proximity, and that the spreading and fate of river waters in these settings will be strongly influenced by these interactions. We conclude that new investigations are needed to characterize how plumes interact offshore of river mouths to better understand the transport and fate of terrestrial sources of pollution, nutrients and other materials in the ocean.
Control of the invasive Sea Lamprey Petromyzon marinus is critical for management of commercial and recreational fisheries in the Laurentian Great Lakes. Use of physical barriers to block Sea Lampreys from spawning habitat is a major component of the control program. However, the resulting interruption of natural streamflow and blockage of nontarget species present substantial challenges. Development of an effective nonphysical barrier would aid the control of Sea Lampreys by eliminating their access to spawning locations while maintaining natural streamflow. We tested the effect of a nonphysical barrier consisting of strobe lights, low-frequency sound, and a bubble screen on the movement of Sea Lampreys in an experimental raceway designed as a two-choice maze with a single main channel fed by two identical inflow channels (one control and one blocked). Sea Lampreys were more likely to move upstream during trials when the strobe light and low-frequency sound were active compared with control trials and trials using the bubble screen alone. For those Sea Lampreys that did move upstream to the confluence of inflow channels, no combination of stimuli or any individual stimulus significantly influenced the likelihood that Sea Lampreys would enter the blocked inflow channel, enter the control channel, or return downstream.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1308892","usgsCitation":"Miehls, S.M., Johnson, N., and Hrodey, P., 2017, Test of a non-physical barrier consisting of light, sound, and bubble screen to block upstream movement of sea lamprey in an experimental raceway: North American Journal of Fisheries Management, v. 37, no. 3, p. 660-666, https://doi.org/10.1080/02755947.2017.1308892.","productDescription":"7 p.","startPage":"660","endPage":"666","ipdsId":"IP-080848","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469950,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Test_of_a_Nonphysical_Barrier_Consisting_of_Light_Sound_and_Bubble_Screen_to_Block_Upstream_Movement_of_Sea_Lampreys_in_an_Experimental_Raceway/4974935","text":"External Repository"},{"id":339138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"58e4b0afe4b09da679997768","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145449,"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":false,"id":688424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrodey, Pete J.","contributorId":190436,"corporation":false,"usgs":false,"family":"Hrodey","given":"Pete J.","affiliations":[],"preferred":false,"id":688425,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186375,"text":"70186375 - 2017 - Ecosystem services in the Great Lakes","interactions":[],"lastModifiedDate":"2018-08-10T15:49:36","indexId":"70186375","displayToPublicDate":"2017-04-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services in the Great Lakes","docAbstract":"A comprehensive inventory of ecosystem services across the entire Great Lakes basin is currently lacking and is needed to make informed management decisions. A greater appreciation and understanding of ecosystem services, including both use and non-use services, may have avoided misguided resource management decisions in the past that resulted in negative legacies inherited by future generations. Given the interest in ecosystem services and lack of a coherent approach to addressing this topic in the Great Lakes, a summit was convened involving 28 experts working on various aspects of ecosystem services in the Great Lakes. The invited attendees spanned a variety of social and natural sciences. Given the unique status of the Great Lakes as the world's largest collective repository of surface freshwater, and the numerous stressors threatening this valuable resource, timing was propitious to examine ecosystem services. Several themes and recommendations emerged from the summit. There was general consensus that: 1) a comprehensive inventory of ecosystem services throughout the Great Lakes is a desirable goal but would require considerable resources; 2) more spatially and temporally intensive data are needed to overcome our data gaps, but the arrangement of data networks and observatories must be well-coordinated; 3) trade-offs must be considered as part of ecosystem services analyses; and 4) formation of a Great Lakes Institute for Ecosystem Services, to provide a hub for research, meetings, and training is desirable. Several challenges also emerged during the summit, which are discussed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.02.004","usgsCitation":"Steinman, A.D., Cardinale, B.J., Munns, W.R., Ogdahl, M.E., Allan, D.J., Angadi, T., Bartlett, S., Brauman, K.A., Byappanahalli, M., Doss, M., Dupont, D., Johns, A., Kashian, D., Lupi, F., McIntyre, P.B., Miller, T., Moore, M.P., Muenich, R.L., Poudel, R., Price, J., Provencher, B., Rea, A., Read, J., Renzetti, S., Sohngen, B., and Washburn, E., 2017, Ecosystem services in the Great Lakes: Journal of Great Lakes Research, v. 43, no. 3, p. 161-168, https://doi.org/10.1016/j.jglr.2017.02.004.","productDescription":"8 p.","startPage":"161","endPage":"168","ipdsId":"IP-082813","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.02.004","text":"Publisher Index Page"},{"id":339137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","volume":"43","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e4b0b0e4b09da67999776a","contributors":{"authors":[{"text":"Steinman, Alan D.","contributorId":190417,"corporation":false,"usgs":false,"family":"Steinman","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":688394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardinale, Bradley J.","contributorId":190418,"corporation":false,"usgs":false,"family":"Cardinale","given":"Bradley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munns, Wayne R. Jr.","contributorId":190419,"corporation":false,"usgs":false,"family":"Munns","given":"Wayne","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":688396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogdahl, Mary E.","contributorId":152664,"corporation":false,"usgs":false,"family":"Ogdahl","given":"Mary","email":"","middleInitial":"E.","affiliations":[{"id":18955,"text":"Annis Water Resources Institute-GVSU","active":true,"usgs":false}],"preferred":false,"id":688397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allan, David J.","contributorId":190420,"corporation":false,"usgs":false,"family":"Allan","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angadi, Ted","contributorId":190421,"corporation":false,"usgs":false,"family":"Angadi","given":"Ted","email":"","affiliations":[],"preferred":false,"id":688399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bartlett, Sarah","contributorId":190422,"corporation":false,"usgs":false,"family":"Bartlett","given":"Sarah","affiliations":[],"preferred":false,"id":688400,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brauman, Kate A.","contributorId":190423,"corporation":false,"usgs":false,"family":"Brauman","given":"Kate","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":688401,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688393,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Doss, Matt","contributorId":190424,"corporation":false,"usgs":false,"family":"Doss","given":"Matt","email":"","affiliations":[],"preferred":false,"id":688402,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dupont, Diane","contributorId":190425,"corporation":false,"usgs":false,"family":"Dupont","given":"Diane","email":"","affiliations":[],"preferred":false,"id":688403,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johns, Annie","contributorId":190426,"corporation":false,"usgs":false,"family":"Johns","given":"Annie","email":"","affiliations":[],"preferred":false,"id":688404,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kashian, Donna","contributorId":190427,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","affiliations":[],"preferred":false,"id":688405,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lupi, Frank","contributorId":190428,"corporation":false,"usgs":false,"family":"Lupi","given":"Frank","email":"","affiliations":[],"preferred":false,"id":688406,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McIntyre, Peter B.","contributorId":166828,"corporation":false,"usgs":false,"family":"McIntyre","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":688407,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Miller, Todd","contributorId":190429,"corporation":false,"usgs":false,"family":"Miller","given":"Todd","email":"","affiliations":[],"preferred":false,"id":688408,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Moore, Michael P.","contributorId":176155,"corporation":false,"usgs":false,"family":"Moore","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":688409,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Muenich, Rebecca Logsdon","contributorId":169555,"corporation":false,"usgs":false,"family":"Muenich","given":"Rebecca","email":"","middleInitial":"Logsdon","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":688410,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Poudel, Rajendra","contributorId":190430,"corporation":false,"usgs":false,"family":"Poudel","given":"Rajendra","email":"","affiliations":[],"preferred":false,"id":688411,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Price, James","contributorId":156327,"corporation":false,"usgs":false,"family":"Price","given":"James","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":688412,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Provencher, Bill","contributorId":190431,"corporation":false,"usgs":false,"family":"Provencher","given":"Bill","email":"","affiliations":[],"preferred":false,"id":688413,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Rea, Anne","contributorId":190432,"corporation":false,"usgs":false,"family":"Rea","given":"Anne","email":"","affiliations":[],"preferred":false,"id":688414,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Read, Jennifer","contributorId":140055,"corporation":false,"usgs":false,"family":"Read","given":"Jennifer","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":688415,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Renzetti, Steven","contributorId":190433,"corporation":false,"usgs":false,"family":"Renzetti","given":"Steven","email":"","affiliations":[],"preferred":false,"id":688416,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Sohngen, Brent","contributorId":190434,"corporation":false,"usgs":false,"family":"Sohngen","given":"Brent","email":"","affiliations":[],"preferred":false,"id":688417,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Washburn, Erica","contributorId":190435,"corporation":false,"usgs":false,"family":"Washburn","given":"Erica","email":"","affiliations":[],"preferred":false,"id":688418,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"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":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189384,"text":"70189384 - 2017 - North American Commission on Stratigraphic Nomenclature Report 12 – Revision of article 37, lithodemic units, of the North American Stratigraphic Code","interactions":[],"lastModifiedDate":"2017-07-12T10:25:20","indexId":"70189384","displayToPublicDate":"2017-04-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"North American Commission on Stratigraphic Nomenclature Report 12 – Revision of article 37, lithodemic units, of the North American Stratigraphic Code","docAbstract":"At the 71st Annual Meeting of the North American Commission on Stratigraphic Nomenclature, 26 September, 2016, in Denver, Colorado, the Commission voted unanimously to accept the revision of Article 37 of the North American Stratigraphic Code (North American Commission on Stratigraphic Nomenclature, 2005), printed below. It replaces all older versions of this Article. An application for this revision (Easton et al. 2015) was published in Stratigraphy more than one year prior to the meeting; thus, the vote on this application for revision follows Article 21 of the Code.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Easton, R.M., Edwards, L.E., Orndorff, R.C., Duguet, M., and Ferrusquia-Villafranca, I., 2017, North American Commission on Stratigraphic Nomenclature Report 12 – Revision of article 37, lithodemic units, of the North American Stratigraphic Code: Stratigraphy, v. 13, no. 3, p. 220-222.","productDescription":"3 p.","startPage":"220","endPage":"222","ipdsId":"IP-082234","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":343652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343650,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-328/article-1995"}],"volume":"13","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673541e4b0d1f9f05dd7d1","contributors":{"authors":[{"text":"Easton, Robert M.","contributorId":139939,"corporation":false,"usgs":false,"family":"Easton","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":13320,"text":"Ontario Geological Survey","active":true,"usgs":false}],"preferred":false,"id":704449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":704448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":704450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duguet, Manuel","contributorId":147927,"corporation":false,"usgs":false,"family":"Duguet","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":704451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrusquia-Villafranca, Ismael","contributorId":37529,"corporation":false,"usgs":true,"family":"Ferrusquia-Villafranca","given":"Ismael","email":"","affiliations":[],"preferred":false,"id":704452,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}