To better understand how individual processes combine to cause flooding and erosion events, we investigate the relative contribution of tides, waves, and nontidal residuals to extreme total water levels (TWLs) at the shoreline of U.S. West Coast sandy beaches. Extreme TWLs, defined as the observed annual maximum event and the simulated 100 year return level event, peak in Washington, and are on average larger in Washington and Oregon than in California. The relative contribution of wave-induced and still water levels (SWL) to the 100 year TWL event is similar to that of the annual maximum event; however, the contribution of storm surge to the SWL doubles across events. Understanding the regional variability of TWLs will lead to a better understanding of how sea level rise, changes in storminess, and possible changes in the frequency of major El Niños may impact future coastal flooding and erosion along the U.S. West Coast and elsewhere.
","language":"English","publisher":"AGU","doi":"10.1002/2016GL071020","usgsCitation":"Serafin, K.A., Ruggiero, P., and Stockdon, H.F., 2017, The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches: Geophysical Research Letters, v. 44, no. 4, p. 1839-1847, https://doi.org/10.1002/2016GL071020.","productDescription":"9 p.","startPage":"1839","endPage":"1847","ipdsId":"IP-079475","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071020","text":"Publisher Index Page"},{"id":339393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3876953125,\n 49.009050809382046\n ],\n [\n -125.46386718749999,\n 48.63290858589535\n ],\n [\n -125.1123046875,\n 46.13417004624326\n ],\n [\n -125.5078125,\n 42.87596410238256\n ],\n [\n -125.068359375,\n 39.9434364619742\n ],\n [\n -123.1787109375,\n 36.59788913307022\n ],\n [\n -120.9375,\n 34.23451236236987\n ],\n [\n -118.125,\n 32.54681317351514\n ],\n [\n -115.7080078125,\n 32.58384932565662\n ],\n [\n -116.8505859375,\n 34.05265942137599\n ],\n [\n -120.89355468749999,\n 37.16031654673677\n ],\n [\n -122.29980468749999,\n 41.0130657870063\n ],\n [\n -122.3876953125,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-18","publicationStatus":"PW","scienceBaseUri":"58e8a542e4b09da6799d63a3","contributors":{"authors":[{"text":"Serafin, Katherine A.","contributorId":84466,"corporation":false,"usgs":true,"family":"Serafin","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":690255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186150,"text":"70186150 - 2017 - Managing native predators: Evidence from a partial removal of raccoons (Procyon lotor) on the Outer Banks of North Carolina, USA","interactions":[],"lastModifiedDate":"2017-03-30T11:10:56","indexId":"70186150","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Managing native predators: Evidence from a partial removal of raccoons (Procyon lotor) on the Outer Banks of North Carolina, USA","docAbstract":"Raccoons (Procyon lotor) are important predators of ground-nesting species in coastal systems. They have been identified as a primary cause of nest failure for the American Oystercatcher (Haematopus palliatus) throughout its range. Concerns over the long-term effects of raccoon predation and increased nest success following a hurricane inspired a mark-resight study of the raccoon population on a barrier island off North Carolina, USA. Approximately half of the raccoons were experimentally removed in 2008. Nests (n = 700) were monitored on two adjacent barrier islands during 2004–2013. Daily nest survival estimates were highest for 2004 (0.974 ± 0.005) and lowest for 2007 and 2008 (0.925 ± 0.009 and 0.925 ± 0.010, respectively). The only model in our candidate set that received any support included island and time of season, along with a diminishing effect of the hurricane and a constant, 5-year effect of the raccoon removal. For both hurricane and raccoon removal, however, the support for island-specific effects was weak (β = -0.204 ± 0.116 and 0.146 ± 0.349, respectively). We conclude that either the raccoon reduction was inadequate, or factors other than predation cause more variation in nest success than previously recognized. A multi-faceted approach to management aimed at reducing nest losses to storm overwash, predation, and human disturbance is likely to yield the largest population level benefits.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.sp103","usgsCitation":"Stocking, J.J., Simons, T.R., Parsons, A.W., and O’Connell, A.F., 2017, Managing native predators: Evidence from a partial removal of raccoons (Procyon lotor) on the Outer Banks of North Carolina, USA: Waterbirds, v. 40, no. sp1, p. 10-18, https://doi.org/10.1675/063.040.sp103.","productDescription":"9 p.","startPage":"10","endPage":"18","ipdsId":"IP-071197","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":338798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.7449951171875,\n 34.56764471968292\n ],\n [\n -75.91552734375,\n 34.56764471968292\n ],\n [\n -75.91552734375,\n 35.1356330179272\n ],\n [\n -76.7449951171875,\n 35.1356330179272\n ],\n [\n -76.7449951171875,\n 34.56764471968292\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"sp1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194de4b02ff32c699c91","contributors":{"authors":[{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":687675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":687693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":687676,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184180,"text":"70184180 - 2017 - Nocturnal insect availability in bottomland hardwood forests managed for wildlife in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2017-03-01T14:16:54","indexId":"70184180","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Nocturnal insect availability in bottomland hardwood forests managed for wildlife in the Mississippi Alluvial Valley","docAbstract":"Silviculture used to alter forest structure and thereby enhance wildlife habitat has been advocated for bottomland hardwood forest management on public conservation lands in the Mississippi Alluvial Valley. Although some songbirds respond positively to these management actions to attain desired forest conditions for wildlife, the response of other species, is largely unknown. Nocturnal insects are a primary prey base for bats, thereby influencing trophic interactions within hardwood forests. To better understand how silviculture influences insect availability for bats, we conducted vegetation surveys and sampled insect biomass within silviculturally treated bottomland hardwood forest stands. We used passive blacklight traps to capture nocturnal flying insects in 64 treated and 64 untreated reference stands, located on 15 public conservation areas in Arkansas, Louisiana, and Mississippi. Dead wood and silvicultural treatments were positively associated with greater biomass of macro-Lepidoptera, macro-Coleoptera, and all insect taxa combined. Biomass of micro-Lepidoptera was negatively associated with silvicultural treatment but comprised only a small proportion of total biomass. Understanding the response of nocturnal insects to wildlife-forestry silviculture provides insight for prescribed silvicultural management affecting bat species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.02.009","usgsCitation":"Ketzler, L.P., Christopher Comer, and Twedt, D.J., 2017, Nocturnal insect availability in bottomland hardwood forests managed for wildlife in the Mississippi Alluvial Valley: Forest Ecology and Management, v. 391, p. 127-134, https://doi.org/10.1016/j.foreco.2017.02.009.","productDescription":"8 p.","startPage":"127","endPage":"134","ipdsId":"IP-077314","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zotero.org/groups/5435545/items/3CY9RVK4","text":"Publisher Index Page"},{"id":336772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi","otherGeospatial":"Mississippi alluvial valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.69238281249999,\n 35.585851593232356\n ],\n [\n -88.857421875,\n 37.055177106660814\n ],\n [\n -89.736328125,\n 37.26530995561875\n ],\n [\n -90.52734374999999,\n 36.87962060502676\n ],\n [\n -90.791015625,\n 36.43896124085945\n ],\n [\n -91.60400390625,\n 35.69299463209881\n ],\n [\n -92.30712890625,\n 34.379712580462204\n ],\n [\n -91.8017578125,\n 33.76088200086917\n ],\n [\n -91.73583984374999,\n 33.15594830078649\n ],\n [\n -92.1533203125,\n 32.76880048488168\n ],\n [\n -92.2412109375,\n 32.08257455954592\n ],\n [\n -92.39501953125,\n 31.147006308556566\n ],\n [\n -92.900390625,\n 30.486550842588485\n ],\n [\n -93.27392578125,\n 29.783449456820605\n ],\n [\n -90.4833984375,\n 29.152161283318915\n ],\n [\n -89.62646484375,\n 29.935895213372444\n ],\n [\n -91.20849609375,\n 30.278044377800153\n ],\n [\n -91.51611328125,\n 30.92107637538488\n ],\n [\n -91.3623046875,\n 31.50362930577303\n ],\n [\n -90.791015625,\n 32.287132632616384\n ],\n [\n -90.32958984375,\n 32.76880048488168\n ],\n [\n -90.06591796875,\n 33.37641235124676\n ],\n [\n -90,\n 34.397844946449865\n ],\n [\n -90.2197265625,\n 34.84987503195418\n ],\n [\n -89.69238281249999,\n 35.585851593232356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"391","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eb9fe4b01ccd5500bacf","contributors":{"authors":[{"text":"Ketzler, Loraine P.","contributorId":187409,"corporation":false,"usgs":false,"family":"Ketzler","given":"Loraine","email":"","middleInitial":"P.","affiliations":[{"id":32360,"text":"Stephen F. Austin State University, Nacogdoches, TX","active":true,"usgs":false}],"preferred":false,"id":680366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopher Comer","contributorId":187410,"corporation":false,"usgs":false,"family":"Christopher Comer","affiliations":[],"preferred":false,"id":680367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":680365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192067,"text":"70192067 - 2017 - Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","interactions":[],"lastModifiedDate":"2017-10-19T15:54:15","indexId":"70192067","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","title":"Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","docAbstract":"Amphibians may experience collateral effects if exposed to CFT Legumine (5% rotenone), a piscicide that is used to remove invasive fish. A series of 48-h static toxicity tests assessed the acute effects of CFT Legumine on multi-aged tadpoles of the federally listed Chiricahua leopard frog Lithobates chiricahuensis, the widespread northern leopard frog L. pipiens, and the increasingly invasive American bullfrog L. catesbeianus. At the earliest Gosner stages (GS 21–25), Chiricahua leopard frogs were more sensitive to CFT Legumine (median lethal concentration [LC50] = 0.41–0.58 mg/L) than American bullfrogs (LC50 = 0.63–0.69 mg/L) and northern leopard frogs (LC50 = 0.91 and 1.17 mg/L). As tadpoles developed (i.e., increase in GS), their sensitivity to rotenone decreased. In a separate series of 48-h static nonrenewal toxicity tests, tadpoles (GS 21–25 and GS 31–36) of all three species were exposed to piscicidal concentrations of CFT Legumine (0.5, 1.0, and 2.0 mg/L) to assess postexposure effects on metamorphosis. In survivors of all three species at both life stages, the time to tail resorption was nearly doubled in comparison with that of controls. For example, mid-age (GS 31–36) Chiricahua leopard frog tadpoles required 210.7 h to complete tail resorption, whereas controls required 108.5 h. However, because tail resorption is a relatively short period in metamorphosis, the total duration of development (days from posthatch to complete metamorphosis) and the final weight did not differ in either age-group surviving nominal concentrations of 0.5-, 1.0-, and 2.0-mg/L CFT Legumine relative to controls. This research demonstrates that the CFT Legumine concentrations commonly used in field applications to remove unwanted fish could result in considerable mortality of the earliest stages of Lithobates species. In addition to acute lethality, piscicide treatments may result in delayed tail resorption, which places the tadpoles at risk by increasing their vulnerability to predation and pathogens.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1285355","usgsCitation":"Alvarez, G., Caldwell, C.A., and Kruse, C.G., 2017, Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus: Transactions of the American Fisheries Society, v. 146, no. 3, p. 512-522, https://doi.org/10.1080/00028487.2017.1285355.","productDescription":"11 p.","startPage":"512","endPage":"522","ipdsId":"IP-074191","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-30","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65caa","contributors":{"authors":[{"text":"Alvarez, Guillermo","contributorId":197741,"corporation":false,"usgs":false,"family":"Alvarez","given":"Guillermo","email":"","affiliations":[],"preferred":false,"id":714186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kruse, Carter G.","contributorId":58545,"corporation":false,"usgs":true,"family":"Kruse","given":"Carter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":714187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192069,"text":"70192069 - 2017 - When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival","interactions":[],"lastModifiedDate":"2017-10-19T13:52:07","indexId":"70192069","displayToPublicDate":"2017-03-01T00:00:00","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":"When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival","docAbstract":"Modification of habitat structure due to invasive plants can alter the risk landscape for wildlife by, for example, changing the quality or availability of refuge habitat. Whether perceived risk corresponds with actual fitness outcomes, however, remains an important open question. We simultaneously measured how habitat changes due to a common invasive grass (cheatgrass, Bromus tectorum) affected the perceived risk, habitat selection, and apparent survival of a small mammal, enabling us to assess how well perceived risk influenced important behaviors and reflected actual risk. We measured perceived risk by nocturnal rodents using a giving-up density foraging experiment with paired shrub (safe) and open (risky) foraging trays in cheatgrass and native habitats. We also evaluated microhabitat selection across a cheatgrass gradient as an additional assay of perceived risk and behavioral responses for deer mice (Peromyscus maniculatus) at two spatial scales of habitat availability. Finally, we used mark-recapture analysis to quantify deer mouse apparent survival across a cheatgrass gradient while accounting for detection probability and other habitat features. In the foraging experiment, shrubs were more important as protective cover in cheatgrass-dominated habitats, suggesting that cheatgrass increased perceived predation risk. Additionally, deer mice avoided cheatgrass and selected shrubs, and marginally avoided native grass, at two spatial scales. Deer mouse apparent survival varied with a cheatgrass–shrub interaction, corresponding with our foraging experiment results, and providing a rare example of a native plant mediating the effects of an invasive plant on wildlife. By synthesizing the results of three individual lines of evidence (foraging behavior, habitat selection, and apparent survival), we provide a rare example of linkage between behavioral responses of animals indicative of perceived predation risk and actual fitness outcomes. Moreover, our results suggest that exotic grass invasions can influence wildlife populations by altering risk landscapes and survival.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2785","usgsCitation":"Ceradnini, J.P., and Chalfoun, A.D., 2017, When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival: Ecology and Evolution, v. 7, no. 6, p. 1823-1835, https://doi.org/10.1002/ece3.2785.","productDescription":"13 p.","startPage":"1823","endPage":"1835","ipdsId":"IP-073821","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2785","text":"Publisher Index Page"},{"id":346981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Thunder Basin National Grassland","volume":"7","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65ca7","contributors":{"authors":[{"text":"Ceradnini, Joseph P.","contributorId":197675,"corporation":false,"usgs":false,"family":"Ceradnini","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195947,"text":"70195947 - 2017 - Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt","interactions":[],"lastModifiedDate":"2018-03-09T10:17:08","indexId":"70195947","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt","docAbstract":"Managing Lake Ontario fisheries in an ecosystem-context, requires reliable data on the status and trends of prey fishes that support predator populations. We report on the community and population dynamics of Lake Ontario pelagic prey fishes, based on bottom trawl surveys. We emphasize information that supports the international Lake Ontario Committee’s Fish Community Objectives. In 2016, 142 bottom trawls were collected in U.S. waters, and for the first time 46 trawls were conducted in Canadian waters. A total of 420,386 fish from 24 species were captured. Alewife were 89% of the total fish catch and 93% of the pelagic prey fish catch. The Rainbow Smelt abundance index in U.S. waters increased slightly in 2016 relative to 2015. Interestingly, the Rainbow Smelt abundance index from tows in Canadian waters was 35% higher than the U.S. index. Abundances of Threespine Stickleback and Emerald Shiners in both U.S. and Canadian waters were low in 2016 relative to their peak abundances in the late 1990s, but Cisco abundance indices suggest a recent increase in their abundance. This year, the reported Alewife abundance time series was truncated to only include values since 1997, which were collected with the same trawl and eliminated the need to adjust values for different trawls. The 2016 adult Alewife abundance index was the second lowest abundance ever observed in the time series. This value was expected to decline from the 2015 value since the indices of juvenile Alewife were low in 2014 and the lowest ever observed in 2015. The fall condition index of adult Alewife increased in 2016 and is consistent with lower abundance and reduced competition for zooplankton resources. The 2016 Age-1 Alewife index increased relative to 2014 and 2015, and suggested lake conditions were favorable for Age-1 survival and growth during the summer of 2015 and the 2015-2016 winter. Interestingly, the catch of adult and Age1 Alewife was higher in trawls conducted in Canadian waters relative to U. S. waters. The larger trawl catches in Canadian waters suggest there may be important spatial differences in lake-wide distribution of prey fishes in April when trawling is conducted. Future surveys should to continue to sample at the whole-lake scale to understand the year to year variability in spatial distribution and the physical or biotic factors driving those distribution differences.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NYSDEC Lake Ontario Annual Report 2016","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Weidel, B., Walsh, M., Connerton, M., and Holden, J.P., 2017, Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt, Section 12a; 13 p.","productDescription":"Section 12a; 13 p.","ipdsId":"IP-086005","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352347,"type":{"id":11,"text":"Document"},"url":"https://www.dec.ny.gov/docs/fish_marine_pdf/lorpt16.pdf"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.0189208984375,\n 43.177141346631714\n ],\n [\n -76.0528564453125,\n 43.177141346631714\n ],\n [\n -76.0528564453125,\n 44.288469027276506\n ],\n [\n -80.0189208984375,\n 44.288469027276506\n ],\n [\n -80.0189208984375,\n 43.177141346631714\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc492","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":730645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":730646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael J.","contributorId":190416,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[],"preferred":false,"id":730647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":730648,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184974,"text":"70184974 - 2017 - Northern bobwhite breeding season ecology on a reclaimed surface mine","interactions":[],"lastModifiedDate":"2017-03-15T11:31:24","indexId":"70184974","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Northern bobwhite breeding season ecology on a reclaimed surface mine","docAbstract":"Surface coal mining and subsequent reclamation of surface mines have converted large forest areas into early successional vegetative communities in the eastern United States. This reclamation can provide a novel opportunity to conserve northern bobwhite (Colinus virginianus). We evaluated the influence of habitat management activities on nest survival, nest-site selection, and brood resource selection on managed and unmanaged units of a reclaimed surface mine, Peabody Wildlife Management Area (Peabody), in west-central Kentucky, USA, from 2010 to 2013. We compared resource selection, using discrete-choice analysis, and nest survival, using the nest survival model in Program MARK, between managed and unmanaged units of Peabody at 2 spatial scales: the composition and configuration of vegetation types (i.e., macrohabitat) and vegetation characteristics at nest sites and brood locations (i.e., microhabitat). On managed sites, we also investigated resource selection relative to a number of different treatments (e.g., herbicide, disking, prescribed fire). We found no evidence that nest-site selection was influenced by macrohabitat variables, but bobwhite selected nest sites in areas with greater litter depth than was available at random sites. On managed units, bobwhite were more likely to nest where herbicide was applied to reduce sericea lespedeza (Lespedeza cuneata) compared with areas untreated with herbicide. Daily nest survival was not influenced by habitat characteristics or by habitat management but was influenced by nest age and the interaction of nest initiation date and nest age. Daily nest survival was greater for older nests occurring early in the breeding season (0.99, SE < 0.01) but was lower for older nests occurring later in the season (0.08, SE = 0.13). Brood resource selection was not influenced by macrohabitat or microhabitat variables we measured, but broods on managed units selected areas treated with herbicide to control sericea lespedeza and were located closer to firebreaks and disked native-warm season grass stands than would be expected at random. Our results suggest the vegetation at Peabody was sufficient without manipulation to support nesting and brood-rearing northern bobwhite at a low level, but habitat management practices improved vegetation for nesting and brood-rearing resource selection. Reproductive rates (e.g., nest survival and re-nesting rates) at Peabody were lower than reported in other studies, which may be related to nutritional deficiencies caused by the abundance of sericea lespedeza. On reclaimed mine lands dominated by sericea lespedeza, we suggest continuing practices such as disking and herbicide application that are targeted at reducing sericea lespedeza to improve the vegetation for nesting and brood-rearing bobwhite.
","language":"English","publisher":"The WIldlife Society","doi":"10.1002/jwmg.21182","usgsCitation":"Brooke, J.M., Tanner, E.P., Peters, D.C., Tanner, A.M., Harper, C.A., Keyser, P.D., Clark, J.D., and Morgan, J.J., 2017, Northern bobwhite breeding season ecology on a reclaimed surface mine: Journal of Wildlife Management, v. 81, no. 1, p. 73-85, https://doi.org/10.1002/jwmg.21182.","productDescription":"13 p.","startPage":"73","endPage":"85","ipdsId":"IP-068704","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":337605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Peabody Wildlife Management 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PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"58ca52cbe4b0849ce97c8696","contributors":{"authors":[{"text":"Brooke, Jarred M.","contributorId":146940,"corporation":false,"usgs":false,"family":"Brooke","given":"Jarred","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":683783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, Evan P.","contributorId":146943,"corporation":false,"usgs":false,"family":"Tanner","given":"Evan","email":"","middleInitial":"P.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":683784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, David C.","contributorId":146941,"corporation":false,"usgs":false,"family":"Peters","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":683782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Ashley M.","contributorId":177321,"corporation":false,"usgs":false,"family":"Tanner","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":683786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, Craig A.","contributorId":146944,"corporation":false,"usgs":false,"family":"Harper","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":683787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keyser, Patrick D.","contributorId":146945,"corporation":false,"usgs":false,"family":"Keyser","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":683785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":683781,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morgan, John J.","contributorId":146946,"corporation":false,"usgs":false,"family":"Morgan","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":13409,"text":"Kentucky Department of Fish & Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":684457,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197367,"text":"70197367 - 2017 - Features of resilience","interactions":[],"lastModifiedDate":"2018-05-31T14:58:39","indexId":"70197367","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5016,"text":"Environment Systems and Decisions","active":true,"publicationSubtype":{"id":10}},"title":"Features of resilience","docAbstract":"The National Academy of Sciences (NAS) definition of resilience is used here to organize common concepts and synthesize a set of key features of resilience that can be used across diverse application domains. The features in common include critical functions (services), thresholds, cross-scale (both space and time) interactions, and memory and adaptive management. We propose a framework for linking these features to the planning, absorbing, recovering, and adapting phases identified in the NAS definition. The proposed delineation of resilience can be important in understanding and communicating resilience concepts.
","language":"English","publisher":"Springer","doi":"10.1007/s10669-017-9634-9","usgsCitation":"Connelly, E.B., Allen, C.R., Hatfield, K., Palma-Oliveira, J.M., Woods, D.D., and Linkov, I., 2017, Features of resilience: Environment Systems and Decisions, v. 37, no. 1, p. 46-50, https://doi.org/10.1007/s10669-017-9634-9.","productDescription":"5 p.","startPage":"46","endPage":"50","ipdsId":"IP-085139","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470032,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1346540","text":"External Repository"},{"id":354646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-20","publicationStatus":"PW","scienceBaseUri":"5b155ee1e4b092d9651e1bbf","contributors":{"authors":[{"text":"Connelly, Elizabeth B.","contributorId":205341,"corporation":false,"usgs":false,"family":"Connelly","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":736995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatfield, Kirk","contributorId":205342,"corporation":false,"usgs":false,"family":"Hatfield","given":"Kirk","email":"","affiliations":[],"preferred":false,"id":736996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palma-Oliveira, Jose M.","contributorId":205343,"corporation":false,"usgs":false,"family":"Palma-Oliveira","given":"Jose","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woods, David D.","contributorId":205344,"corporation":false,"usgs":false,"family":"Woods","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":736998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linkov, Igor","contributorId":172407,"corporation":false,"usgs":false,"family":"Linkov","given":"Igor","email":"","affiliations":[],"preferred":false,"id":736999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182910,"text":"sir20175008 - 2017 - Characterization of the quality of water, bed sediment, and fish in Mittry Lake, Arizona, 2014–15","interactions":[],"lastModifiedDate":"2017-03-06T15:16:02","indexId":"sir20175008","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5008","title":"Characterization of the quality of water, bed sediment, and fish in Mittry Lake, Arizona, 2014–15","docAbstract":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov/
Common species are fundamental to the structure and function of their communities and may enhance community stability through intraspecific functional diversity (iFD). We measured among-habitat and within-habitat iFD (i.e., among- and within-plant community types) of two common small mammal species using stable isotopes and functional trait dendrograms, determined whether iFD was related to short-term population stability and small mammal community stability, and tested whether spatially explicit trait filters helped explain observed patterns of iFD. Southern red-backed voles (Myodes gapperi) had greater iFD than deer mice (Peromyscus maniculatus), both among habitats, and within the plant community in which they were most abundant (their “primary habitat”). Peromyscus maniculatus populations across habitats differed significantly between years and declined 78% in deciduous forests, their primary habitat, as did the overall deciduous forest small mammal community. Myodes gapperi populations were stable across habitats and within coniferous forest, their primary habitat, as was the coniferous forest small mammal community. Generalized linear models representing internal trait filters (e.g., competition), which increase within-habitat type iFD, best explained variation in M. gapperidiet, while models representing internal filters and external filters (e.g., climate), which suppress within-habitat iFD, best explained P. maniculatus diet. This supports the finding that M. gapperi had higher iFD than P. maniculatus and is consistent with the theory that internal trait filters are associated with higher iFD than external filters. Common species with high iFD can impart a stabilizing influence on their communities, information that can be important for conserving biodiversity under environmental change.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2721","usgsCitation":"Wood, C.M., McKinney, S.T., and Loftin, C., 2017, Intraspecific functional diversity of common species enhances community stability: Ecology and Evolution, v. 7, no. 5, p. 1553-1560, https://doi.org/10.1002/ece3.2721.","productDescription":"8 p.","startPage":"1553","endPage":"1560","ipdsId":"IP-074150","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2721","text":"Publisher Index Page"},{"id":348254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"5a07e928e4b09af898c8cbff","contributors":{"authors":[{"text":"Wood, Connor M.","contributorId":167785,"corporation":false,"usgs":false,"family":"Wood","given":"Connor","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":719663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192844,"text":"70192844 - 2017 - Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America","interactions":[],"lastModifiedDate":"2017-11-01T16:56:42","indexId":"70192844","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America","docAbstract":"Background
Avian paramyxovirus serotype 1 (APMV-1) viruses are globally distributed, infect wild, peridomestic, and domestic birds, and sometimes lead to outbreaks of disease. Thus, the maintenance, evolution, and spread of APMV-1 viruses are relevant to avian health.
Methods
In this study we sequenced the fusion gene from 58 APMV-1 isolates recovered from thirteen species of wild birds sampled throughout the USA during 2007–2014. We analyzed sequence information with previously reported data in order to assess contemporary genetic diversity and inter-taxa/inter-region exchange of APMV-1 in wild birds sampled in North America.
Results
Our results suggest that wild birds maintain previously undescribed genetic diversity of APMV-1; however, such diversity is unlikely to be pathogenic to domestic poultry. Phylogenetic analyses revealed that APMV-1 diversity detected in wild birds of North America has been found in birds belonging to numerous taxonomic host orders and within hosts inhabiting multiple geographic regions suggesting some level of viral exchange. However, our results also provide statistical support for associations between phylogenetic tree topology and host taxonomic order/region of sample origin which supports restricted exchange among taxa and geographical regions of North America for some APMV-1 sub-genotypes.
Conclusions
We identify previously unrecognized genetic diversity of APMV-1 in wild birds in North America which is likely a function of continued viral evolution in reservoir hosts. We did not, however, find support for the emergence or maintenance of APMV-1 strains predicted to be pathogenic to poultry in wild birds of North America outside of the order Suliformes (i.e., cormorants). Furthermore, genetic evidence suggests that ecological drivers or other mechanisms may restrict viral exchange among taxa and regions of North America. Additional and more systematic sampling for APMV-1 in North America would likely provide further inference on viral dynamics for this infectious agent in wild bird populations.
In the Ross Sea region, most South Polar Skuas (Stercorarius maccormicki) nest near Adélie Penguin (Pygoscelis adeliae) colonies, preying and scavenging on fish, penguins, and other carrion. To derive a relationship to predict skua numbers from better-quantified penguin numbers, we used distance sampling to estimate breeding skua numbers within 1000 m of 5 penguin nesting locations (Cape Crozier, Cape Royds, and 3 Cape Bird locations) on Ross Island in 3 consecutive years. Estimated numbers of skua breeding pairs were highest at Cape Crozier (270,000 penguin pairs; 1099 and 1347 skua pairs in 2 respective years) and lowest at Cape Royds (3000 penguin pairs; 45 skua pairs). The log–log linear relationship (R2 = 0.98) between pairs of skuas and penguins was highly significant, and most historical estimates of skua and penguin numbers in the Ross Sea were within 95 % prediction intervals of the regression. Applying our regression model to current Adélie Penguin colony sizes at 23 western Ross Sea locations predicted that 4635 pairs of skuas now breed within 1000 m of penguin colonies in the Ross Island metapopulation (including Beaufort Island) and northern Victoria Land. We estimate, using published skua estimates for elsewhere in Antarctica, that the Ross Sea South Polar Skua population comprises ~50 % of the world total, although this may be an overestimate because of incomplete data elsewhere. To improve predictions and enable measurement of future skua population change, we recommend additional South Polar Skua surveys using consistent distance-sampling methods at penguin colonies of a range of sizes.
","language":"English","publisher":"Springer","doi":"10.1007/s00300-016-1980-4","usgsCitation":"Wilson, D.J., Lyver, P.O., Greene, T.C., Whitehead, A.L., Dugger, K., Karl, B.J., Barringer, J.R., McGarry, R., Pollard, A.M., and Ainley, D.G., 2017, South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers: Polar Biology, v. 40, no. 3, p. 577-592, https://doi.org/10.1007/s00300-016-1980-4.","productDescription":"16 p.","startPage":"577","endPage":"592","ipdsId":"IP-067093","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":" Ross Island","volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65ca2","contributors":{"authors":[{"text":"Wilson, Deborah J.","contributorId":197733,"corporation":false,"usgs":false,"family":"Wilson","given":"Deborah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyver, Phil O’B.","contributorId":197706,"corporation":false,"usgs":false,"family":"Lyver","given":"Phil","email":"","middleInitial":"O’B.","affiliations":[],"preferred":false,"id":714162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, Terry C.","contributorId":197734,"corporation":false,"usgs":false,"family":"Greene","given":"Terry","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitehead, Amy L.","contributorId":197735,"corporation":false,"usgs":false,"family":"Whitehead","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karl, Brian J.","contributorId":197736,"corporation":false,"usgs":false,"family":"Karl","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barringer, James R. F.","contributorId":197737,"corporation":false,"usgs":false,"family":"Barringer","given":"James","email":"","middleInitial":"R. F.","affiliations":[],"preferred":false,"id":714166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGarry, Roger","contributorId":197738,"corporation":false,"usgs":false,"family":"McGarry","given":"Roger","email":"","affiliations":[],"preferred":false,"id":714167,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pollard, Annie M.","contributorId":197739,"corporation":false,"usgs":false,"family":"Pollard","given":"Annie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714168,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":714169,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192028,"text":"70192028 - 2017 - Spatial and temporal genetic analysis of Walleyes in the Ohio River","interactions":[],"lastModifiedDate":"2017-10-24T13:36:42","indexId":"70192028","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal genetic analysis of Walleyes in the Ohio River","docAbstract":"Previous genetic analyses have shown that Walleyes Sander vitreus in the upper Ohio River comprise two distinct genetic strains: (1) fish of Great Lakes origin that were stocked into the Ohio River basin and (2) a remnant native strain (Highlands strain). Resource agencies are developing management strategies to conserve and restore the native strain within the upper reaches of the Ohio River. Hybridization between strains has impacted the genetic integrity of the native strain. To better understand the extent and effects of hybridization on the native strain, we used mitochondrial DNA and microsatellite markers to evaluate the spatial (river sections) and temporal (pre- and poststocking) genetic diversity of Ohio River Walleyes. Contemporary Lake Erie Walleyes and archival museum specimens collected from the Ohio River basin were used for comparison to contemporary Ohio River samples. Although there was evidence of hybridization between strains, most of the genetic diversity within the Ohio River was partitioned by basin of origin (Great Lakes versus the Ohio River), with greater similarity among river sections than between strains within the same section. Results also suggested that the native strain has diverged from historical populations. Furthermore, notable decreases in measures of genetic diversity and increased relatedness among native-strain Walleyes within two sections of the Ohio River may be related to stocking aimed at restoration of the Highlands strain. Our results suggest that although the Highlands strain persists within the Ohio River, it has diverged over time, and managers should consider the potential impacts of future management practices on the genetic diversity of this native strain.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1360393","usgsCitation":"Page, K.S., Zweifela, R.D., and Stott, W., 2017, Spatial and temporal genetic analysis of Walleyes in the Ohio River: Transactions of the American Fisheries Society, v. 146, no. 6, p. 1168-1185, https://doi.org/10.1080/00028487.2017.1360393.","productDescription":"18 p.","startPage":"1168","endPage":"1185","ipdsId":"IP-086394","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":347241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Ohio River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.36376953125,\n 38.298559092254344\n ],\n [\n -79.793701171875,\n 38.298559092254344\n ],\n [\n -79.793701171875,\n 40.94671366508002\n ],\n [\n -85.36376953125,\n 40.94671366508002\n ],\n [\n -85.36376953125,\n 38.298559092254344\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1d9d","contributors":{"authors":[{"text":"Page, Kevin S.","contributorId":49318,"corporation":false,"usgs":true,"family":"Page","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zweifela, Richard D.","contributorId":59322,"corporation":false,"usgs":true,"family":"Zweifela","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Wendylee wstott@usgs.gov","contributorId":3763,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":713877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193033,"text":"70193033 - 2017 - Top-down control of invertebrates by Ninespine Stickleback in Arctic ponds","interactions":[],"lastModifiedDate":"2018-06-20T20:06:56","indexId":"70193033","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Top-down control of invertebrates by Ninespine Stickleback in Arctic ponds","docAbstract":"Despite their widespread presence in northern-latitude ecosystems, the ecological role of Ninespine Stickleback Pungitius pungitius is not well understood. Ninespine Stickleback can occupy both top and intermediate trophic levels in freshwater ecosystems, so their role in food webs as a predator on invertebrates and as a forage fish for upper level consumers probably is substantial. We introduced Ninespine Sticklebacks to fishless ponds to elucidate their potential effects as a predator on invertebrate communities in Arctic lentic freshwaters. We hypothesized that Ninespine Stickleback would affect freshwater invertebrate communities in a top-down manner. We predicted that the addition of Ninespine Sticklebacks to fishless ponds would: 1) reduce invertebrate taxonomic richness, 2) decrease overall invertebrate abundance, 3) reduce invertebrate biomass, and 4) decrease average invertebrate body size. We tested our hypothesis at 2 locations by adding Ninespine Stickleback to isolated ponds and compared invertebrate communities over time between fish-addition and fishless control ponds. Ninespine Sticklebacks exerted strong top-down pressure on invertebrate communities mainly by changing invertebrate taxonomic richness and biomass and, to a lesser extent, abundance and average invertebrate size. Our results supported the hypothesis that Ninespine Stickleback may help shape lentic food webs in the Arctic.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/690675","usgsCitation":"Laske, S.M., Rosenberger, A.E., Kane, W.J., Wipfli, M.S., and Zimmerman, C.E., 2017, Top-down control of invertebrates by Ninespine Stickleback in Arctic ponds: Freshwater Science, v. 36, no. 1, p. 124-137, https://doi.org/10.1086/690675.","productDescription":"14 p.","startPage":"124","endPage":"137","ipdsId":"IP-076980","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.7471923828125,\n 70.12542991464234\n ],\n [\n -154.423828125,\n 70.12542991464234\n ],\n [\n -154.423828125,\n 71.41317683396566\n ],\n [\n -157.7471923828125,\n 71.41317683396566\n ],\n [\n -157.7471923828125,\n 70.12542991464234\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e929e4b09af898c8cc03","contributors":{"authors":[{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":720804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kane, William J.","contributorId":200058,"corporation":false,"usgs":false,"family":"Kane","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":720807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":720808,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191823,"text":"70191823 - 2017 - Nitrogen additions affect litter quality and soil biochemical properties in a peatland of Northeast China","interactions":[],"lastModifiedDate":"2017-10-18T10:22:13","indexId":"70191823","displayToPublicDate":"2017-03-01T00:00:00","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":"Nitrogen additions affect litter quality and soil biochemical properties in a peatland of Northeast China","docAbstract":"Nitrogen (N) is a limiting nutrient in many peatland ecosystems. Enhanced N deposition, a major component of global climate change, affects ecosystem carbon (C) balance and alters soil C storage by changing plant and soil properties. However, the effects of enhanced N deposition on peatland ecosystems are poorly understood. We conducted a two-year N additions field experiment in a peatland dominated by Eriophorum vaginatum in the Da Xing’an Mountains, Northeast China. Four levels of N treatments were applied: (1) CK (no N added), (2) N1 (6 g N m−2 yr−1), (3) N2 (12 g N m−2 yr−1), and (4) N3 (24 g N m−2 yr−1). Plant and soil material was harvested at the end of the second growing season. N additions increased litter N and phosphorus (P) content, as well as β-glucosidase, invertase, and acid-phosphatase activity, but decreased litter C:N and C:P ratios. Litter carbon content remained unchanged. N additions increased available NH4+–N and NO3−–N as well as total Gram-positive (Gram+), Gram-negative (Gram−), and total bacterial phospholipid fatty acids (PLFA) in shallow soil (0–15 cm depth). An increase in these PLFAs was accompanied by a decrease in soil labile organic C (microbial biomass carbon and dissolved organic carbon), and appeared to accelerate decomposition and reduce the stability of the soil C pool. Invertase and urease activity in shallow soils and acid-phosphatase activity in deep soils (15–30 cm depth) was inhibited by N additions. Together, these findings suggest that an increase in N deposition in peatlands could accelerate litter decomposition and the loss of labile C, as well as alter microbial biomass and function.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.12.025","usgsCitation":"Song, Y., Song, C., Meng, H., Swarzenski, C.M., Wang, X., and Tan, W., 2017, Nitrogen additions affect litter quality and soil biochemical properties in a peatland of Northeast China: Ecological Engineering, v. 100, p. 175-185, https://doi.org/10.1016/j.ecoleng.2016.12.025.","productDescription":"11 p.","startPage":"175","endPage":"185","ipdsId":"IP-071131","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":346828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 121.5087890625,\n 53.028000167735165\n ],\n [\n 123.035888671875,\n 53.028000167735165\n ],\n [\n 123.035888671875,\n 53.51418452077113\n ],\n [\n 121.5087890625,\n 53.51418452077113\n ],\n [\n 121.5087890625,\n 53.028000167735165\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86837e4b05fe04cd4d206","contributors":{"authors":[{"text":"Song, Yanyu","contributorId":197346,"corporation":false,"usgs":false,"family":"Song","given":"Yanyu","email":"","affiliations":[],"preferred":false,"id":713256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Changchun","contributorId":177141,"corporation":false,"usgs":false,"family":"Song","given":"Changchun","email":"","affiliations":[],"preferred":false,"id":713257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meng, Henan","contributorId":197347,"corporation":false,"usgs":false,"family":"Meng","given":"Henan","email":"","affiliations":[],"preferred":false,"id":713258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Xianwei","contributorId":197348,"corporation":false,"usgs":false,"family":"Wang","given":"Xianwei","email":"","affiliations":[],"preferred":false,"id":713259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tan, Wenwen","contributorId":197349,"corporation":false,"usgs":false,"family":"Tan","given":"Wenwen","email":"","affiliations":[],"preferred":false,"id":713260,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193982,"text":"70193982 - 2017 - Evidence for coseismic subsidence events in a southern California coastal saltmarsh","interactions":[],"lastModifiedDate":"2017-11-13T13:10:48","indexId":"70193982","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for coseismic subsidence events in a southern California coastal saltmarsh","docAbstract":"Paleoenvironmental records from a southern California coastal saltmarsh reveal evidence for repeated late Holocene coseismic subsidence events. Field analysis of sediment gouge cores established discrete lithostratigraphic units extend across the wetland. Detailed sediment analyses reveal abrupt changes in lithology, percent total organic matter, grain size, and magnetic susceptibility. Microfossil analyses indicate that predominantly freshwater deposits bury relic intertidal deposits at three distinct depths. Radiocarbon dating indicates that the three burial events occurred in the last 2000 calendar years. Two of the three events are contemporaneous with large-magnitude paleoearthquakes along the Newport-Inglewood/Rose Canyon fault system. From these data, we infer that during large magnitude earthquakes a step-over along the fault zone results in the vertical displacement of an approximately 5-km2 area that is consistent with the footprint of an estuary identified in pre-development maps. These findings provide insight on the evolution of the saltmarsh, coseismic deformation and earthquake recurrence in a wide area of southern California, and sensitive habitat already threatened by eustatic sea level rise.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep44615","usgsCitation":"Leeper, R., Rhodes, B.P., Kirby, M.E., Scharer, K.M., Carlin, J.A., Hemphill-Haley, E., Avnaim-Katav, S., MacDonald, G.M., Starratt, S.W., and Aranda, A., 2017, Evidence for coseismic subsidence events in a southern California coastal saltmarsh: Scientific Reports, v. 7, Article 44615; 11 p., https://doi.org/10.1038/srep44615.","productDescription":"Article 44615; 11 p.","ipdsId":"IP-079036","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":470108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep44615","text":"Publisher Index Page"},{"id":348698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-20","publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238ca","contributors":{"authors":[{"text":"Leeper, Robert 0000-0003-2890-8216 rleeper@usgs.gov","orcid":"https://orcid.org/0000-0003-2890-8216","contributorId":4740,"corporation":false,"usgs":true,"family":"Leeper","given":"Robert","email":"rleeper@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":721814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhodes, Brady P.","contributorId":200293,"corporation":false,"usgs":false,"family":"Rhodes","given":"Brady","email":"","middleInitial":"P.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirby, Matthew E.","contributorId":200294,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":721817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlin, Joseph A.","contributorId":200295,"corporation":false,"usgs":false,"family":"Carlin","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hemphill-Haley, Eileen","contributorId":194373,"corporation":false,"usgs":false,"family":"Hemphill-Haley","given":"Eileen","affiliations":[{"id":35736,"text":"Hemphill-Haley Consulting, McKinleyville, CA","active":true,"usgs":false}],"preferred":false,"id":721818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avnaim-Katav, Simona","contributorId":200296,"corporation":false,"usgs":false,"family":"Avnaim-Katav","given":"Simona","email":"","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":721820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":721821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":721822,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aranda, Angela","contributorId":200297,"corporation":false,"usgs":false,"family":"Aranda","given":"Angela","email":"","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721823,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70189627,"text":"70189627 - 2017 - Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","interactions":[],"lastModifiedDate":"2018-03-29T11:32:05","indexId":"70189627","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","docAbstract":"Seismic noise induced by atmospheric processes such as wind and pressure changes can be a major contributor to the background noise observed in many seismograph stations, especially those installed at or near the surface. Cultural noise such as vehicle traffic or nearby buildings with air handling equipment also contributes to seismic background noise. Such noise sources fundamentally limit our ability to resolve earthquake‐generated signals. Many previous seismic noise versus depth studies focused separately on either high‐frequency (
Understanding nitrate dynamics in groundwater systems as a function of climatic conditions, especially during contrasting patterns of drought and wet cycles, is limited by a lack of temporal and spatial data. Nitrate sensors have the capability for making accurate, high-frequency measurements of nitrate in situ, but have not yet been evaluated for long-term use in groundwater wells. We measured in situ nitrate continuously in two groundwater monitoring wells —one rural and one urban—located in the recharge zone of a productive karst aquifer in central Texas in order to resolve changes that occur over both short-term (hourly to daily) and long-term (monthly to yearly) periods. Nitrate concentrations, measured as nitrate-nitrogen in milligrams per liter (mg/L), during drought conditions showed little or no temporal change as groundwater levels declined. During aquifer recharge, extremely rapid changes in concentration occurred at both wells as documented by hourly data. At both sites, nitrate concentrations were affected by recharging surface water as evidenced by nitrate concentrations in groundwater recharge (0.8–1.3 mg/L) that were similar to previously reported values for regional recharging streams. Groundwater nitrate concentrations responded differently at urban and rural sites during groundwater recharge. Concentrations at the rural well (approximately 1.0 mg/L) increased as a result of higher nitrate concentrations in groundwater recharge relative to ambient nitrate concentrations in groundwater, whereas concentrations at the urban well (approximately 2.7 mg/L) decreased as a result of the dilution of higher ambient nitrate concentrations relative to those in groundwater recharge. Notably, nitrate concentrations decreased to as low as 0.8 mg/L at the urban site during recharge but postrecharge concentrations exceeded 3.0 mg/L. A return to higher nitrate concentrations postrecharge indicates mobilization of a localized source of elevated nitrate within the urbanized area of the aquifer. Changes in specific conductance were observed at both sites during groundwater recharge, and a significant correlation between specific conductance and nitrate (correlation coefficient [R] = 0.455) was evident at the urban site where large (3-fold) changes in nitrate occurred. Nitrate concentrations and specific conductance measured during a depth profile indicated that the water column was generally homogeneous as expected for this karst environment, but changes were observed in the most productive zone of the aquifer that might indicate some heterogeneity within the complex network of flow paths. Resolving the timing and magnitude of changes and characterizing fine-scale vertical differences would not be possible using conventional sampling techniques. The patterns observed in situ provided new insight into the dynamic nature of nitrate in a karst groundwater system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2016.12.038","usgsCitation":"Opsahl, S.P., Musgrove, M., and Slattery, R.N., 2017, New insights into nitrate dynamics in a karst groundwater system gained from in situ high-frequency optical sensor measurements: Journal of Hydrology, v. 546, p. 179-188, https://doi.org/10.1016/j.jhydrol.2016.12.038.","productDescription":"10 p.","startPage":"179","endPage":"188","ipdsId":"IP-067710","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":347247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Edwards Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.469970703125,\n 29.11857441491087\n ],\n [\n -97.55584716796875,\n 29.11857441491087\n ],\n [\n -97.55584716796875,\n 30.458144351018078\n ],\n [\n -100.469970703125,\n 30.458144351018078\n ],\n [\n -100.469970703125,\n 29.11857441491087\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"546","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1d9f","contributors":{"authors":[{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":197013,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":713012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195175,"text":"70195175 - 2017 - In-well time-of-travel approach to evaluate optimal purge duration during low-flow sampling of monitoring wells","interactions":[],"lastModifiedDate":"2018-02-07T13:18:25","indexId":"70195175","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"In-well time-of-travel approach to evaluate optimal purge duration during low-flow sampling of monitoring wells","docAbstract":"A common assumption with groundwater sampling is that low (<0.5 L/min) pumping rates during well purging and sampling captures primarily lateral flow from the formation through the well-screened interval at a depth coincident with the pump intake. However, if the intake is adjacent to a low hydraulic conductivity part of the screened formation, this scenario will induce vertical groundwater flow to the pump intake from parts of the screened interval with high hydraulic conductivity. Because less formation water will initially be captured during pumping, a substantial volume of water already in the well (preexisting screen water or screen storage) will be captured during this initial time until inflow from the high hydraulic conductivity part of the screened formation can travel vertically in the well to the pump intake. Therefore, the length of the time needed for adequate purging prior to sample collection (called optimal purge duration) is controlled by the in-well, vertical travel times. A preliminary, simple analytical model was used to provide information on the relation between purge duration and capture of formation water for different gross levels of heterogeneity (contrast between low and high hydraulic conductivity layers). The model was then used to compare these time–volume relations to purge data (pumping rates and drawdown) collected at several representative monitoring wells from multiple sites. Results showed that computation of time-dependent capture of formation water (as opposed to capture of preexisting screen water), which were based on vertical travel times in the well, compares favorably with the time required to achieve field parameter stabilization. If field parameter stabilization is an indicator of arrival time of formation water, which has been postulated, then in-well, vertical flow may be an important factor at wells where low-flow sampling is the sample method of choice.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-017-6561-5","usgsCitation":"Harte, P.T., 2017, In-well time-of-travel approach to evaluate optimal purge duration during low-flow sampling of monitoring wells: Environmental Earth Sciences, v. 76, p. 1-13, https://doi.org/10.1007/s12665-017-6561-5.","productDescription":"Article 251; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-071519","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":351267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ce4b00f54eb229355","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727304,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187782,"text":"70187782 - 2017 - Role of raptors in contaminant research","interactions":[],"lastModifiedDate":"2017-11-27T17:13:33","indexId":"70187782","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of raptors in contaminant research","docAbstract":"This chapter reviews the history of and approaches used in studies focused on the effects of contaminants on raptors and raptor populations at the Patuxent Wildlife Research Center (Patuxent) in Laurel, MD. Worldwide raptor declines following World War II were unprecedented and resulted in a sequence of major efforts at Patuxent to understand their cause(s). The peregrine falcon (Falco peregrinus), bald eagle (Haliaeetus leucocephalus), and osprey (Pandion haliaetus) were the species of most concern in North America. Laboratory and field studies at Patuxent complemented each other and yielded timely results of national and international importance, including some findings published in the journals “Science” and “Nature.”
Concern about contaminant effects on wildlife populations came to the forefront during the years immediately following World War II. This concern was worldwide and not limited to one taxonomic group or to personnel and investigations at Patuxent. Contaminant studies of raptors were only part of the story, but this review, with minor exceptions, is limited to raptor studies and the role Patuxent played in this research. Indeed, many important nonraptor contaminant studies done at Patuxent, as well as raptor studies conducted elsewhere, are not mentioned here. For other reviews of contaminant-wildlife issues in the 1950s and 1960s, the reader is referred to “Silent Spring” by Rachel Carson (1962), “Pesticides and the Living Landscape” by Robert Rudd (1964), and “Return of the Peregrine: A North American Saga of Tenacity and Teamwork” by Tom Cade and Bill Burnham (Cade and Burnham, 2003).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The history of Patuxent: America’s wildlife research story (U.S. Geological Survey Circular 1422)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Henny, C.J., 2017, Role of raptors in contaminant research, chap. of The history of Patuxent: America’s wildlife research story (U.S. Geological Survey Circular 1422), p. 107-120.","productDescription":"14 p.","startPage":"107","endPage":"120","numberOfPages":"1","ipdsId":"IP-033315","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":349346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341487,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.3133/cir1422"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc0fe4b06e28e9c23935","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":695599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70186891,"text":"70186891 - 2017 - Low pathogenic avian influenza viruses in wild migratory waterfowl in a region of high poultry production, Delmarva, Maryland","interactions":[],"lastModifiedDate":"2017-04-25T16:34:18","indexId":"70186891","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Low pathogenic avian influenza viruses in wild migratory waterfowl in a region of high poultry production, Delmarva, Maryland","docAbstract":"Migratory waterfowl are natural reservoirs for low pathogenic avian influenza viruses (AIVs) and may contribute to the long-distance dispersal of these pathogens as well as spillover into domestic bird populations. Surveillance for AIVs is critical to assessing risks for potential spread of these viruses among wild and domestic bird populations. The Delmarva Peninsula on the east coast of the United States is both a key convergence point for migratory Atlantic waterfowl populations and a region with high poultry production (>4,700 poultry meat facilities). Sampling of key migratory waterfowl species occurred at 20 locations throughout the Delmarva Peninsula in fall and winter of 2013–14. Samples were collected from 400 hunter-harvested or live-caught birds via cloacal and oropharyngeal swabs. Fourteen of the 400 (3.5%) birds sampled tested positive for the AIV matrix gene using real-time reverse transcriptase PCR, all from five dabbling duck species. Further characterization of the 14 viral isolates identified two hemagglutinin (H3 and H4) and four neuraminidase (N2, N6, N8, and N9) subtypes, which were consistent with isolates reported in the Influenza Research Database for this region. Three of 14 isolates contained multiple HA or NA subtypes. This study adds to the limited baseline information available for AIVs in migratory waterfowl populations on the Delmarva Peninsula, particularly prior to the highly pathogenic AIV A(H5N8) and A(H5N2) introductions to the United States in late 2014.
","language":"English","publisher":"American Association of Avian Pathologists","doi":"10.1637/11476-072616-ResNote","usgsCitation":"Prosser, D.J., Densmore, C.L., Hindman, L.J., Iwanowicz, D.D., Ottinger, C.A., Iwanowicz, L., Driscoll, C.P., and Nagel, J.L., 2017, Low pathogenic avian influenza viruses in wild migratory waterfowl in a region of high poultry production, Delmarva, Maryland: Avian Diseases, v. 61, no. 1, p. 128-134, https://doi.org/10.1637/11476-072616-ResNote.","productDescription":"7 p.","startPage":"128","endPage":"134","ipdsId":"IP-080890","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":438429,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M63V3","text":"USGS data release","linkHelpText":"Low-pathogenic avian influenza viruses in wild migratory waterfowl in a region of high poultry production, Delmarva, Maryland"},{"id":339678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Delmarva Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.39892578125,\n 37.98317483351337\n ],\n [\n -74.9871826171875,\n 37.98317483351337\n ],\n [\n -74.9871826171875,\n 38.8782049970615\n ],\n [\n -76.39892578125,\n 38.8782049970615\n ],\n [\n -76.39892578125,\n 37.98317483351337\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e5fe4b06911a29fa846","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":690870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":690871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hindman, Larry J.","contributorId":190849,"corporation":false,"usgs":false,"family":"Hindman","given":"Larry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":690872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":690873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ottinger, Christopher A. 0000-0003-2551-1985 cottinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":2559,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","email":"cottinger@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":690874,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":690875,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Driscoll, Cindy P.","contributorId":190850,"corporation":false,"usgs":false,"family":"Driscoll","given":"Cindy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":690876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":690877,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187194,"text":"70187194 - 2017 - Estimating regional-scale permeability–depth relations in a fractured-rock terrain using groundwater-flow model calibration","interactions":[],"lastModifiedDate":"2018-03-29T11:08:46","indexId":"70187194","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Estimating regional-scale permeability–depth relations in a fractured-rock terrain using groundwater-flow model calibration","docAbstract":"The trend of decreasing permeability with depth was estimated in the fractured-rock terrain of the upper Potomac River basin in the eastern USA using model calibration on 200 water-level observations in wells and 12 base-flow observations in subwatersheds. Results indicate that permeability at the 1–10 km scale (for groundwater flowpaths) decreases by several orders of magnitude within the top 100 m of land surface. This depth range represents the transition from the weathered, fractured regolith into unweathered bedrock. This rate of decline is substantially greater than has been observed by previous investigators that have plotted in situ wellbore measurements versus depth. The difference is that regional water levels give information on kilometer-scale connectivity of the regolith and adjacent fracture networks, whereas in situ measurements give information on near-hole fractures and fracture networks. The approach taken was to calibrate model layer-to-layer ratios of hydraulic conductivity (LLKs) for each major rock type. Most rock types gave optimal LLK values of 40–60, where each layer was twice a thick as the one overlying it. Previous estimates of permeability with depth from deeper data showed less of a decline at <300 m than the regional modeling results. There was less certainty in the modeling results deeper than 200 m and for certain rock types where fewer water-level observations were available. The results have implications for improved understanding of watershed-scale groundwater flow and transport, such as for the timing of the migration of pollutants from the water table to streams.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1483-y","usgsCitation":"Sanford, W.E., 2017, Estimating regional-scale permeability–depth relations in a fractured-rock terrain using groundwater-flow model calibration: Hydrogeology Journal, v. 25, no. 2, p. 405-419, https://doi.org/10.1007/s10040-016-1483-y.","productDescription":"15 p.","startPage":"405","endPage":"419","ipdsId":"IP-076752","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-11","publicationStatus":"PW","scienceBaseUri":"5afee8c4e4b0da30c1bfc4a6","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70186330,"text":"70186330 - 2017 - Surface geophysical methods for characterising frozen ground in transitional permafrost landscapes","interactions":[],"lastModifiedDate":"2018-01-13T15:10:14","indexId":"70186330","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Surface geophysical methods for characterising frozen ground in transitional permafrost landscapes","docAbstract":"The distribution of shallow frozen ground is paramount to research in cold regions, and is subject to temporal and spatial changes influenced by climate, landscape disturbance and ecosystem succession. Remote sensing from airborne and satellite platforms is increasing our understanding of landscape-scale permafrost distribution, but typically lacks the resolution to characterise finer-scale processes and phenomena, which are better captured by integrated surface geophysical methods. Here, we demonstrate the use of electrical resistivity imaging (ERI), electromagnetic induction (EMI), ground penetrating radar (GPR) and infrared imaging over multiple summer field seasons around the highly dynamic Twelvemile Lake, Yukon Flats, central Alaska, USA. Twelvemile Lake has generally receded in the past 30 yr, allowing permafrost aggradation in the receded margins, resulting in a mosaic of transient frozen ground adjacent to thick, older permafrost outside the original lakebed. ERI and EMI best evaluated the thickness of shallow, thin permafrost aggradation, which was not clear from frost probing or GPR surveys. GPR most precisely estimated the depth of the active layer, which forward electrical resistivity modelling indicated to be a difficult target for electrical methods, but could be more tractable in time-lapse mode. Infrared imaging of freshly dug soil pit walls captured active-layer thermal gradients at unprecedented resolution, which may be useful in calibrating emerging numerical models. GPR and EMI were able to cover landscape scales (several kilometres) efficiently, and new analysis software showcased here yields calibrated EMI data that reveal the complicated distribution of shallow permafrost in a transitional landscape.
","language":"English","publisher":"Wiley","doi":"10.1002/ppp.1893","usgsCitation":"Briggs, M.A., Campbell, S., Nolan, J., Walvoord, M.A., Ntarlagiannis, D., Day-Lewis, F.D., and Lane, J.W., 2017, Surface geophysical methods for characterising frozen ground in transitional permafrost landscapes: Permafrost and Periglacial Processes, v. 28, no. 1, p. 52-65, https://doi.org/10.1002/ppp.1893.","productDescription":"14 p.","startPage":"52","endPage":"65","ipdsId":"IP-069599","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":438431,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UST855","text":"USGS data release","linkHelpText":"Surface geophysical data for characterizing shallow, discontinuous frozen ground near Fort Yukon, Alaska"},{"id":339120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.5,\n 66.45\n ],\n [\n -145.25,\n 66.45\n ],\n [\n -145.25,\n 66.6\n ],\n [\n -145.5,\n 66.6\n ],\n [\n -145.5,\n 66.45\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da67999777a","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":688344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Seth","contributorId":190402,"corporation":false,"usgs":false,"family":"Campbell","given":"Seth","affiliations":[],"preferred":false,"id":688345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, Jay","contributorId":190403,"corporation":false,"usgs":false,"family":"Nolan","given":"Jay","email":"","affiliations":[],"preferred":false,"id":688346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":688347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ntarlagiannis, Dimitrios","contributorId":150729,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":688348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":688350,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187569,"text":"70187569 - 2017 - Biota: Providing often-overlooked connections among freshwater systems","interactions":[],"lastModifiedDate":"2017-05-09T11:25:00","indexId":"70187569","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Biota: Providing often-overlooked connections among freshwater systems","docAbstract":"When we think about connections in and among aquatic systems, we typically envision clear headwater streams flowing into downstream rivers, river floodwaters spilling out onto adjacent floodplains, or groundwater connecting wetlands to lakes and streams. However, there is another layer of connectivity moving materials among freshwater systems, one with connections that are not always tied to downgradient flows of surface waters and groundwater. These movements are those of organisms, key components of virtually every freshwater system on the planet. In their movements across the landscape, biota connect aquatic systems in often-overlooked ways.
","language":"English","publisher":"American Water Resources Association","usgsCitation":"Mushet, D.M., Christensen, J.R., Bennett, M., and Alexander, L., 2017, Biota: Providing often-overlooked connections among freshwater systems: Water Resources Impact, v. 19, no. 2, p. 11-13.","productDescription":"3 p.","startPage":"11","endPage":"13","ipdsId":"IP-082235","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340992,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d536e4b0e541a03d451f","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":694602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":694603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Michah","contributorId":191888,"corporation":false,"usgs":false,"family":"Bennett","given":"Michah","email":"","affiliations":[],"preferred":false,"id":694604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":694605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186296,"text":"70186296 - 2017 - Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou","interactions":[],"lastModifiedDate":"2017-04-04T11:50:35","indexId":"70186296","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou","docAbstract":"Climate-induced shifts in plant phenology may adversely affect animals that cannot or do not shift the timing of their reproductive cycle. The realized effect of potential trophic “mismatches” between a consumer and its food varies with the degree to which species rely on dietary income and stored capital. Large Arctic herbivores rely heavily on maternal capital to reproduce and give birth near the onset of the growing season but are they vulnerable to trophic mismatch? We evaluated the long-term changes in the temperatures and characteristics of the growing seasons (1970–2013), and compared growing conditions and dynamics of forage quality for caribou at peak parturition, peak lactation, and peak forage biomass, and plant senescence between two distinct time periods over 36 years (1977 and 2011–13). Despite advanced thaw dates (7−12 days earlier), increased growing season lengths (15−21 days longer), and consistent parturition dates, we found no decline in forage quality and therefore no evidence within this dataset for a trophic mismatch at peak parturition or peak lactation from 1977 to 2011–13. In Arctic ungulates that use stored capital for reproduction, reproductive demands are largely met by body stores deposited in the previous summer and autumn, which reduces potential adverse effects of any mismatch between food availability and timing of parturition. Climate-induced effects on forages growing in the summer and autumn ranges, however, do correspond with the demands of female caribou and their offspring to gain mass for the next reproductive cycle and winter. Therefore, we suggest the window of time to examine the match-mismatch framework in Arctic ungulates is not at parturition but in late summer-autumn, where the multiplier effects of small changes in forage quality are amplified by forage abundance, peak forage intake, and resultant mass gains in mother-offspring pairs.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0171807","usgsCitation":"Gustine, D.D., Barboza, P., Adams, L., Griffith, B., Cameron, R.D., and Whitten, K.R., 2017, Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou: PLoS ONE, v. 12, no. 2, p. 1-18, https://doi.org/10.1371/journal.pone.0171807.","productDescription":"e0171807; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-061147","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0171807","text":"Publisher Index Page"},{"id":339127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148.9306640625,\n 68.65255607018035\n ],\n [\n -147.67822265625,\n 68.65255607018035\n ],\n [\n -147.67822265625,\n 70.4257596280135\n ],\n [\n -148.9306640625,\n 70.4257596280135\n ],\n [\n -148.9306640625,\n 68.65255607018035\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-23","publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da67999777c","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","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":688231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, Perry","contributorId":190361,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","affiliations":[],"preferred":false,"id":688232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Brad","contributorId":190362,"corporation":false,"usgs":false,"family":"Griffith","given":"Brad","affiliations":[],"preferred":false,"id":688233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cameron, Raymond D.","contributorId":190363,"corporation":false,"usgs":false,"family":"Cameron","given":"Raymond","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":688234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitten, Kenneth R.","contributorId":190408,"corporation":false,"usgs":false,"family":"Whitten","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":688370,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}