Observations of seismic anisotropy can provide direct constraints on the character of mantle flow in subduction zones, critical for our broader understanding of subduction dynamics. Here we present over 750 new SKS splitting measurements in the vicinity of Mount St. Helens in the Cascadia subduction zone using a combination of stations from the iMUSH broadband array and Cascades Volcano Observatory network. This provides the highest density of splitting measurements yet available in Cascadia, acting as a focused “telescope” for seismic anisotropy in the subduction zone. We retrieve spatially consistent splitting parameters (mean fast direction Φ: 74°, mean delay time ∂t: 1.0 s) with the azimuthal occurrence of nulls in agreement with the fast direction of splitting. When averaged across the array, a 90° periodicity in splitting parameters as a function of back azimuth is revealed, which has not been recovered previously with single‐station observations. The periodicity is characterized by a sawtooth pattern in Φ with a clearly defined 45° trend. We present new equations that reproduce this behavior based upon known systematic errors when calculating shear wave splitting from data with realistic seismic noise. The corrected results suggest a single layer of anisotropy with an ENE‐WSW fast axis parallel to the motion of the subducting Juan de Fuca plate; in agreement with predictions for entrained subslab mantle flow. The splitting pattern is consistent with that seen throughout Cascadia, suggesting that entrainment of the underlying asthenosphere with the subducting slab is coherent and widespread.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008433","usgsCitation":"Eakin, C.M., Wirth, E.A., Wallace, A., Ulberg, C.W., Creager, K.C., and Abers, G.A., 2019, SKS splitting beneath Mount St. Helens: Constraints on subslab mantle entrainment: Geochemistry, Geophysics, Geosystems, v. 20, no. 8, p. 4202-4217, https://doi.org/10.1029/2019GC008433.","productDescription":"16 p.","startPage":"4202","endPage":"4217","ipdsId":"IP-106294","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467394,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gc008433","text":"Publisher Index Page"},{"id":371738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06335449218749,\n 45.916765867649005\n ],\n [\n -121.05285644531249,\n 45.916765867649005\n ],\n [\n -121.05285644531249,\n 47.28295557691231\n ],\n [\n -123.06335449218749,\n 47.28295557691231\n ],\n [\n -123.06335449218749,\n 45.916765867649005\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Eakin, Caroline M","contributorId":221907,"corporation":false,"usgs":false,"family":"Eakin","given":"Caroline","email":"","middleInitial":"M","affiliations":[{"id":27305,"text":"Australia National University","active":true,"usgs":false}],"preferred":false,"id":780685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":780684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Abraham","contributorId":221908,"corporation":false,"usgs":false,"family":"Wallace","given":"Abraham","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":780686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ulberg, Carl W 0000-0001-6198-809X","orcid":"https://orcid.org/0000-0001-6198-809X","contributorId":221909,"corporation":false,"usgs":false,"family":"Ulberg","given":"Carl","email":"","middleInitial":"W","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":780687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creager, Kenneth C 0000-0003-4501-7415","orcid":"https://orcid.org/0000-0003-4501-7415","contributorId":221910,"corporation":false,"usgs":false,"family":"Creager","given":"Kenneth","email":"","middleInitial":"C","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":780688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abers, Geoffrey A","contributorId":221911,"corporation":false,"usgs":false,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":780689,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203669,"text":"sir20195051 - 2019 - Benthos and plankton of western Lake Michigan Areas of Concern in comparison to non-Areas of Concern for selected rivers and harbors, 2012 and 2014","interactions":[],"lastModifiedDate":"2019-08-06T09:22:47","indexId":"sir20195051","displayToPublicDate":"2019-08-05T12:49:57","publicationYear":"2019","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":"2019-5051","displayTitle":"Benthos and Plankton of Western Lake Michigan Areas of Concern in Comparison to Non-Areas of Concern for Selected Rivers and Harbors, 2012 and 2014","title":"Benthos and plankton of western Lake Michigan Areas of Concern in comparison to non-Areas of Concern for selected rivers and harbors, 2012 and 2014","docAbstract":"Since their designation in the 1980s, Areas of Concern (AOCs) around the Great Lakes have been the focus of multi-State and international cleanup efforts that were needed after decades of human activity resulted in severely contaminated sediment, water-quality degradation, loss of habitat for aquatic organisms, and impaired public use. Although individual Great Lake States had been working to cleanup and mitigate environmental concerns, there was insufficient funding and little coordination between Federal and State efforts to address the large and complex set of problems. The Great Lakes Ecosystem Protection Act was passed in 2010, providing for comprehensive multi-State planning and dedicating Federal funds to accelerate cleanup and improve conditions at the AOCs with a particular focus on 14 beneficial use impairments, such as degradation of benthos and degradation of phytoplankton and zooplankton populations. Of Wisconsin’s five AOCs, four lie adjacent to Lake Michigan: Lower Menominee River, Lower Green Bay and Fox River, Sheboygan River, and Milwaukee Estuary (which includes the Milwaukee River, Menomonee River, Kinnickinnic River, and Milwaukee Harbor). The Wisconsin Department of Natural Resources has focused much of the cleanup on removal of contaminated sediment from these AOCs because many beneficial use impairments were a result of contaminated sediment. However, recent and quantitative assessments of the status of benthos and plankton at the AOCs were lacking. Therefore, to inform management decisions regarding the status of benthos and plankton at AOCs, the U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources (WDNR) and the U.S. Environmental Protection Agency, Great Lakes National Program Office, assessed the condition of benthos (benthic invertebrates) and plankton (zooplankton and phytoplankton) at sites in the 4 AOCs and at 6 less-degraded comparison sites (hereafter referred to as “non-AOCs”).
The U.S. Geological Survey collected benthos, plankton, sediment, and water three times per year in 2012 and 2014 between May and August at the AOC and non-AOC comparison sites. Except for Lower Green Bay and Milwaukee Harbor, each AOC site or subsite was paired with sites in two non-AOCs with similar environmental conditions. Community-based metrics were compared using univariate and multivariate statistics between each AOC and the mean of all non-AOCs and between each AOC and the mean of two non-AOC comparison sites. Although it was assumed that, because of their designation as AOCs, the relationships would indicate degraded conditions compared to the non-AOC sites, several metrics for the AOCs did not significantly differ between the AOCs and non-AOCs in 2014. Of all four AOCs examined for benthos, only the Lower Menominee River AOC differed from its two non-AOC comparison sites; the density and richness of taxa in insect orders Ephemeroptera-Plecoptera-Trichoptera (mayflies, stoneflies, and caddisflies) in combined benthos (dredge and artificial substrate samples) were lower at the AOC. For plankton, the assemblages for zooplankton at the Fox River near Allouez (a subsite in the Lower Green Bay AOC) and the Milwaukee River differed from their two non-AOC comparison sites; density of zooplankton was lower at both AOCs. Metrics for combined benthos and combined phytoplankton (soft algae and diatoms) at the Sheboygan River AOC did not differ from the two non-AOC comparison sites; however, the diversity of zooplankton in 2014 was lower at the Sheboygan River AOC than at the two non-AOC comparison sites. The combination of univariate and multivariate statistics provided a way to evaluate the status of the aquatic assemblage at each AOC and whether or not the assemblage differed from less-degraded non-AOC comparison sites. Results for this study provide multiple lines of evidence for evaluating the status of aquatic communities at AOC sites in Wisconsin along the western Lake Michigan shoreline in 2012 and 2014.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195051","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources and the U.S. Environmental Protection Agency, Great Lakes National Program Office","usgsCitation":"Scudder Eikenberry, B.C., Olds, H.T., Burns, D.J., Bell, A.H., and Carter, J.L., 2019, Benthos and plankton of western Lake Michigan Areas of Concern in comparison non-Areas of Concern for to selected rivers and harbors, 2012 and 2014: U.S. Geological Survey Scientific Investigations Report 2019–5051, 50 p., https://doi.org/10.3133/sir20195051.","productDescription":"Report: viii, 50 p.; Companion Reports: 2","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081397","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366200,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/ds1000","text":"Data Series 1000","size":"31.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1000","linkHelpText":"– Benthos and Plankton Community Data for Selected Rivers and Harbors along the Western Lake Michigan Shoreline, 2014"},{"id":366183,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5051/coverthb.jpg"},{"id":366184,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5051/sir20195051.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5051"},{"id":366199,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0824/","text":"Data Series 824","size":"4.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 824","linkHelpText":"– Benthos and Plankton Community Data for Selected Rivers and Harbors along Wisconsin’s Lake Michigan Shoreline, 2012"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Western Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.43994140625,\n 42.49640294093705\n ],\n [\n -86.60522460937499,\n 42.49640294093705\n ],\n [\n -86.60522460937499,\n 46.05036097561633\n ],\n [\n -88.43994140625,\n 46.05036097561633\n ],\n [\n -88.43994140625,\n 42.49640294093705\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
American woodcock (Scolopax minor; woodcock) migratory connectivity (i.e., association between breeding and wintering areas) is largely unknown, even though current woodcock management is predicated on such associations. Woodcock are currently managed in the Eastern and Central management regions in the United States with the boundary between management regions analogous to the boundary between the Atlantic and Mississippi flyways, based largely on analysis of band returns from hunters. Factors during migration influence survival and fitness, and existing data derived from banding and very high frequency telemetry provide only coarse-scale information to assess factors influencing woodcock migratory movement patterns and behavior. To assess whether current management-region boundaries correspond with woodcock migratory connectivity in the Central Management Region and to describe migration patterns with higher resolution than has been previously possible, we deployed satellite transmitters on 73 woodcock (25 adult and 28 juvenile females, and 8 adult and 12 juvenile males) and recorded 87 autumn or spring migration paths from 2014 to 2016. Marked woodcock used 2 primary migrations routes: a Western Route and a Central Route. The Western Route ran north-south, connecting the breeding and wintering grounds within the Central Management Region. The hourglass-shaped Central Route connected an area on the wintering grounds reaching from Texas to Florida, to sites throughout northeastern North America in both the Eastern Management Region and Central Management Region and woodcock following this route migrated through the area between the Appalachian Mountains and the Mississippi Alluvial Valley in western Tennessee during autumn and spring. Two of 17 woodcock captured associated with breeding areas in Michigan, Wisconsin, or Minnesota migrated to wintering sites in the Eastern Management Region and 12 marked woodcock captured on wintering areas in Texas and Louisiana migrated to breeding sites in the Eastern Management Region. Woodcock that used the Western Route exhibited high concentrations of stopovers during spring in the Arkansas Ozark Mountains and northern Missouri, and along the Mississippi River on the border between Wisconsin and Minnesota, and autumn concentrations of stopovers in southwestern Iowa, central Missouri, the Arkansas portion of the Ozark Mountains, and around the junction of Texas, Louisiana, Oklahoma, and Arkansas. Woodcock that used the Central Route exhibited high concentrations of stopovers during spring in northern Mississippi through western Tennessee, western Kentucky, and the Missouri Bootheel, and autumn concentrations of stopovers in northern Illinois, southwestern Ohio, and the portions of Kentucky and Tennessee west of the Appalachian Mountains. We suggest that current management of woodcock based on 2 management regions may not be consistent with the apparent lack of strong migratory connectivity we observed. Our results also suggest where management of migration habitat might be most beneficial to woodcock.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21741","usgsCitation":"Moore, J.D., Andersen, D.E., Cooper, T.R., Duguay, J.P., Oldenburger, S., Stewart, C.A., and Krementz, D.G., 2019, Migratory connectivity of American woodcock derived using satellite telemetry: Journal of Wildlife Management, v. 83, no. 7, p. 1617-1627, https://doi.org/10.1002/jwmg.21741.","productDescription":"11 p.","startPage":"1617","endPage":"1627","ipdsId":"IP-098884","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.85546875,\n 25.958044673317843\n ],\n [\n -94.74609375,\n 29.075375179558346\n ],\n [\n -90.17578124999999,\n 28.998531814051795\n ],\n [\n -84.638671875,\n 30.44867367928756\n ],\n [\n -85.69335937499999,\n 35.24561909420681\n ],\n [\n -83.75976562499999,\n 34.95799531086792\n ],\n [\n -81.474609375,\n 37.020098201368114\n ],\n [\n -83.3203125,\n 36.80928470205937\n ],\n [\n -79.62890625,\n 37.78808138412046\n ],\n [\n -74.1796875,\n 40.713955826286046\n ],\n [\n -69.08203125,\n 40.84706035607122\n ],\n [\n -63.6328125,\n 46.800059446787316\n ],\n [\n -63.6328125,\n 49.03786794532644\n ],\n [\n -68.64257812499999,\n 49.781264058178344\n ],\n [\n -83.232421875,\n 50.45750402042058\n ],\n [\n -99.49218749999999,\n 52.53627304145948\n ],\n [\n -97.55859375,\n 44.02442151965934\n ],\n [\n -98.0859375,\n 36.73888412439431\n ],\n [\n -98.701171875,\n 30.751277776257812\n ],\n [\n -97.998046875,\n 26.27371402440643\n ],\n [\n -96.85546875,\n 25.958044673317843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"7","noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, J. D.","contributorId":275291,"corporation":false,"usgs":false,"family":"Moore","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":833938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Thomas R.","contributorId":191468,"corporation":false,"usgs":false,"family":"Cooper","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":834075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duguay, J. P.","contributorId":275292,"corporation":false,"usgs":false,"family":"Duguay","given":"J.","email":"","middleInitial":"P.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":833940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oldenburger, Shaun L.","contributorId":275294,"corporation":false,"usgs":false,"family":"Oldenburger","given":"Shaun L.","affiliations":[{"id":56759,"text":"Texas Parks & Wildlife","active":true,"usgs":false}],"preferred":false,"id":833942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, C. A.","contributorId":275295,"corporation":false,"usgs":false,"family":"Stewart","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":833943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833944,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204599,"text":"70204599 - 2019 - Paleoenvironmental, epigraphic, and archaeological evidence of total warfare among the Classic Maya","interactions":[],"lastModifiedDate":"2020-08-25T13:19:11.001511","indexId":"70204599","displayToPublicDate":"2019-08-05T11:28:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Paleoenvironmental, epigraphic, and archaeological evidence of total warfare among the Classic Maya","docAbstract":"Despite over a century of archaeological research, the nature and broader consequences of Classic Maya warfare remain poorly understood. Based on frequent epigraphic references and iconographic themes, Classic period (250-950 CE) Maya warfare has largely been viewed as ritualized and limited in scope. Evidence of warfare in the Terminal Classic period (TCP, 800-950 CE) is interpreted as an escalation of military tactics that played a role in the socio-economic collapse of the Classic Maya civilization. Implications of specific textual references to war events remain unknown, however, and the paucity of field data precludes our ability to test collapse theories tied to warfare. Here we present geoarchaeological evidence of a large fire event and connect it to a battle described with a Classic period war statement (puluuy), clarifying its meaning and providing insight into the strategies and impacts of Maya warfare. Multiple lines of evidence show that a massive fire occurred across the ancient city of Witzna during the last decade of the 7th century CE, coincident with a written account of Witzna’s burning by the kingdom of Naranjo in 697 CE. Following this event human activity at Witzna declined dramatically, indicating the battle had broad societal impacts. Puluuy is a commonly occurring war statement, and these findings show that the Maya engaged in tactics akin to total warfare earlier and more frequently than previously thought. This research provides insights into the broad societal impacts of Classic period warfare and necessitates a reevaluation of the role of warfare in the Maya collapse.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41562-019-0671-x","usgsCitation":"Wahl, D., Anderson, L., Estrada-Belli, F., and Tokovinine, A., 2019, Paleoenvironmental, epigraphic, and archaeological evidence of total warfare among the Classic Maya: Nature, v. 3, p. 1049-1054, https://doi.org/10.1038/s41562-019-0671-x.","productDescription":"6 p.","startPage":"1049","endPage":"1054","ipdsId":"IP-095862","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":366296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":767730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Estrada-Belli, Francisco","contributorId":149456,"corporation":false,"usgs":false,"family":"Estrada-Belli","given":"Francisco","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":767732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tokovinine, Alexandre","contributorId":217879,"corporation":false,"usgs":false,"family":"Tokovinine","given":"Alexandre","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":767733,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205291,"text":"70205291 - 2019 - De facto reuse and disinfection by-products in drinking water systems in the Shenandoah River watershed","interactions":[],"lastModifiedDate":"2019-10-09T10:05:19","indexId":"70205291","displayToPublicDate":"2019-08-05T10:17:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5112,"text":"Environmental Science: Water Research & Technology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"De facto reuse and disinfection by-products in drinking water systems in the Shenandoah River watershed","title":"De facto reuse and disinfection by-products in drinking water systems in the Shenandoah River watershed","docAbstract":"De facto reuse is increasingly being studied among the variety of stressors that are relevant to drinking water systems that obtain their source water from surface waters. De facto reuse may influence the levels and types of precursors relevant to formation of disinfection by-products (DBPs) in surface water systems. DBPs such as trihalomethanes (THMs) and haloacetic acids (HAAs) have been associated with bladder cancer and other health concerns in people who use drinking water provided by public water systems (PWSs). In this study, we used compliance monitoring data from conventional surface water PWSs in the Shenandoah River watershed to evaluate the relationship between de facto reuse in the watershed with DBP formation in those systems. The Shenandoah River watershed was selected for this study because it has a relatively small group of PWSs that draw their source water from surface waters in the watershed, the majority of whom treat their water using chlorine, and are less likely to have confounding factors (such as complex distribution systems or lengthy residence times) than other watersheds. We found that concentrations of THM4 and HAA5 increase in drinking water systems as de facto reuse increases in their source waters and that the relation is observed at both annual average and low streamflow conditions (annual average and low streamflow increases were statistically significant for THM4 with p values of 0.027 and 0,021, respectively). In addition, using a t-test, we found that a 1% level of de facto reuse was associated with significantly higher levels of THM4 and HAA5 (p < 0.05) under annual average streamflow conditions. While the concentrations of HAA5 were also higher under annual average and low streamflow conditions, we did not find that they achieved a level of a significant difference. Results from this research will be helpful to operators of PWSs and other researchers and stakeholders with an interest in water reuse and DBPs.
","language":"English","publisher":"The Royal Society of Chemistry","doi":"10.1039/C9EW00326F","usgsCitation":"Weisman, R.J., Barber, L., Rapp, J., and Ferreira, C.M., 2019, De facto reuse and disinfection by-products in drinking water systems in the Shenandoah River watershed: Environmental Science: Water Research & Technology, v. 5, no. 10, p. 1699-1708, https://doi.org/10.1039/C9EW00326F.","productDescription":"10 p.","startPage":"1699","endPage":"1708","ipdsId":"IP-106374","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":367385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.189697265625,\n 39.67337039176558\n ],\n [\n -80.474853515625,\n 37.47485808497102\n ],\n [\n -79.9365234375,\n 37.23032838760387\n ],\n [\n -78.673095703125,\n 37.47485808497102\n ],\n [\n -77.47558593749999,\n 38.91668153637508\n ],\n [\n -77.266845703125,\n 39.639537564366684\n ],\n [\n -78.189697265625,\n 39.67337039176558\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weisman, Richard J","contributorId":218952,"corporation":false,"usgs":false,"family":"Weisman","given":"Richard","email":"","middleInitial":"J","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":770757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":770758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapp, Jennifer 0000-0003-2253-9886","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":218954,"corporation":false,"usgs":true,"family":"Rapp","given":"Jennifer","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Celso M","contributorId":218955,"corporation":false,"usgs":false,"family":"Ferreira","given":"Celso","email":"","middleInitial":"M","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":770760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227080,"text":"70227080 - 2019 - Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus","interactions":[],"lastModifiedDate":"2021-12-29T15:38:12.247022","indexId":"70227080","displayToPublicDate":"2019-08-05T09:26:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus","title":"Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus","docAbstract":"We collected Walleye Sander vitreus (May–October) from Bitter and Twin lakes, South Dakota to assess seasonal- and diet-related variation in tissue mercury (Hg) concentration. The average Hg concentration in Walleye was 43–68% higher in the spring for Bitter (p < 0.008) and Twin Lakes (p < 0.017) compared with summer or autumn months. Bioenergetics analysis of Bitter Lake Walleye showed that consumption of fish prey (primarily Fathead Minnow Pimephales promelas) increased from late summer through winter and was linked to increased Hg accumulation in Walleye the following spring. Mercury concentration varied significantly with Walleye age but was similar for comparably-aged male (0.62 μg/g) and female fish (0.62 μg/g). However, after adjusting for Walleye size (total length, mm), mean Hg concentration was greater in male (0.66 μg/g) compared with female (0.50 μg/g) fish, likely due to slower growth rate of male Walleye. At 425 mm, male Walleye in Bitter Lake were approximately 1 year older than female fish. These findings show that diet, age, and gender-related growth affect Hg concentration in Walleye and are important factors to consider in fish contaminant monitoring programs.
","language":"English","publisher":"Springer","doi":"10.1007/s00244-019-00658-1","usgsCitation":"Selch, T., Chipps, S.R., Blackwell, B.G., and Hanten, R.P., 2019, Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus: Archives of Environmental Contamination and Toxicology, v. 77, p. 336-343, https://doi.org/10.1007/s00244-019-00658-1.","productDescription":"8 p.","startPage":"336","endPage":"343","ipdsId":"IP-107082","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Day County, Kingsbury County","otherGeospatial":"Bitter Lake, Twin Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n 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steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":829541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, Brian G.","contributorId":270542,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brian","email":"","middleInitial":"G.","affiliations":[{"id":56178,"text":"South Dakota Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":829543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanten, Robert P.","contributorId":270543,"corporation":false,"usgs":false,"family":"Hanten","given":"Robert","email":"","middleInitial":"P.","affiliations":[{"id":56178,"text":"South Dakota Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":829544,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204726,"text":"70204726 - 2019 - A mosaic of estuarine habitat types with prey resources from multiple environmental strata supports a diversified foraging portfolio for juvenile Chinook salmon","interactions":[],"lastModifiedDate":"2019-10-09T09:36:32","indexId":"70204726","displayToPublicDate":"2019-08-05T08:02:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A mosaic of estuarine habitat types with prey resources from multiple environmental strata supports a diversified foraging portfolio for juvenile Chinook salmon","docAbstract":"Estuaries provide vital nursery habitat for threatened Chinook salmon (Oncorhynchus tshawytscha) by promoting an ecological portfolio effect, whereby multiple habitat types and environmental strata maximize foraging opportunities for out-migrating salmon by varying the abundance and composition of prey through space and time. To study this portfolio effect, we evaluated the foraging capacity of five estuarine habitat types within the Nisqually River Delta (Puget Sound, Washington, USA). Within each habitat, we sampled invertebrate prey resources from the terrestrial, aquatic, benthic, and epifaunal strata and compared them to juvenile salmon diets from corresponding sampling events. We found that the emergent salt marsh supplied twice as much aquatic prey biomass as any other habitat (720–5523 mg/m3), followed by the mudflat (246–2543 mg/m3) and eelgrass (Zostera marina; 141–2694 mg/m3) habitats. Despite some evidence for selectivity, juvenile salmon diets exhibited substantial compositional overlap, especially when compared to among-habitat differences in available prey resources. Fish that were captured in salt marsh, mudflat, and eelgrass consumed aquatic crustaceans such as mysids, while fish captured upriver in forested and transitional marshes ate a higher proportion of adult and larval insects. The availability and consumption of greater quantities of energy-poor crustaceans in the salt marsh and lower quantities of energy-rich insects upriver highlights a quantity-for-quality tradeoff among estuarine habitats. Our findings indicate that the timing, productivity, and diversity of prey across multiple habitat types and environmental strata determine an estuary’s capacity to support foraging for multiple life history strategies, size classes, and cohorts of juvenile salmon.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00613-2","usgsCitation":"Woo, I., Davis, M.J., Ellings, C.S., Hodgson, S., Takekawa, J., Nakai, G., and De La Cruz, S.E., 2019, A mosaic of estuarine habitat types with prey resources from multiple environmental strata supports a diversified foraging portfolio for juvenile Chinook salmon: Estuaries and Coasts, v. 42, no. 7, p. 1938-1954, https://doi.org/10.1007/s12237-019-00613-2.","productDescription":"17 p.","startPage":"1938","endPage":"1954","ipdsId":"IP-105812","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":366491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.815673828125,\n 46.89023157359399\n ],\n [\n -121.97021484374999,\n 46.89023157359399\n ],\n [\n -121.97021484374999,\n 48.95858066440977\n ],\n [\n -124.815673828125,\n 48.95858066440977\n ],\n [\n -124.815673828125,\n 46.89023157359399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":768201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodgson, Sayre","contributorId":172121,"corporation":false,"usgs":false,"family":"Hodgson","given":"Sayre","email":"","affiliations":[{"id":26985,"text":"Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":768202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":768203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nakai, Glynnis","contributorId":172123,"corporation":false,"usgs":false,"family":"Nakai","given":"Glynnis","email":"","affiliations":[{"id":26986,"text":"US Fish and Wildlife Service, Nisqually Nat'l Wildlife Refuge, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":768204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768198,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70206160,"text":"70206160 - 2019 - Quantifying trends and uncertainty in prehistoric forest composition","interactions":[],"lastModifiedDate":"2019-12-04T06:27:40","indexId":"70206160","displayToPublicDate":"2019-08-05T06:57:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying trends and uncertainty in prehistoric forest composition","docAbstract":"Forest ecosystems in eastern North America were in flux over the last\nseveral thousand years, well before Euro-American land clearance and the\n20th-century onset of anthropogenic climate change. However, the\nmagnitude and uncertainty of prehistoric vegetation change have been\ndifficult to quantify because of the multiple ecological, dispersal, and\nsedimentary processes that govern the relationship between forest\ncomposition and fossil pollen assemblages. Here we extend STEPPS, a\nBayesian hierarchical spatio-temporal pollen-vegetation model, to estimate\nchanges in forest composition in the upper Midwestern United States from\nabout 2000 to 200 years ago. Using this approach, we identify areas of\nstatistically and ecologically significant change. Between 2000 and 200\nyears ago, forest composition significantly changed across broad regions of\nnorth-central Wisconsin and Minnesota. Rates of compositional change\nvaried spatially, and can be linked to previously reported events. The single\nlargest change is the infilling of Tsuga canadensis in northern Wisconsin\nover the past 2000 years. Despite this range in-filling, the range limit of T.\ncanadensis was largely stable, with modest expansion westward. The\nregional ecotone between temperate hardwood forests and northern mixed\nhardwood/conifer forests shifted southwestward by 15-20 km in Minnesota\nand Northwestern Wisconsin. Fraxinus, Ulmus, and other mesic hardwoods\nexpanded in the Big Woods region of southern Minnesota. However, some\nareas showed no significant change, suggesting high complexity in the\nspatiotemporal patterns of past forest dynamics. The increasing density of\npaleoecological data networks and advances in statistical modeling\napproaches now enables the confident detection of subtle but significant\nchanges in forest composition over the last 2000 years.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2856","usgsCitation":"Andria Dawson, Christopher J. Paciorek, Goring, S., Jackson, S., Jason S. McLachlan, and John W. Williams, 2019, Quantifying trends and uncertainty in prehistoric forest composition: Ecology, v. 100, no. 12, e02856, https://doi.org/10.1002/ecy.2856.","productDescription":"e02856","ipdsId":"IP-096645","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":467395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2856","text":"Publisher Index Page"},{"id":368548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.328125,\n 42.85985981506279\n ],\n [\n -87.56103515625,\n 42.85985981506279\n ],\n [\n -87.56103515625,\n 44.653024159812\n ],\n [\n -96.328125,\n 44.653024159812\n ],\n [\n -96.328125,\n 42.85985981506279\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Andria Dawson","contributorId":219996,"corporation":false,"usgs":false,"family":"Andria Dawson","affiliations":[{"id":40107,"text":"Mount Royal University","active":true,"usgs":false}],"preferred":false,"id":773745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopher J. Paciorek","contributorId":219997,"corporation":false,"usgs":false,"family":"Christopher J. Paciorek","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":773746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":219998,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":773747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":773744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jason S. McLachlan","contributorId":219999,"corporation":false,"usgs":false,"family":"Jason S. McLachlan","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":773748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"John W. Williams","contributorId":197556,"corporation":false,"usgs":false,"family":"John W. Williams","affiliations":[],"preferred":false,"id":773749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206467,"text":"70206467 - 2019 - Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","interactions":[],"lastModifiedDate":"2023-06-21T15:28:30.150596","indexId":"70206467","displayToPublicDate":"2019-08-03T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","docAbstract":"Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird populations provides critical information about viral evolution forming the basis of risk assessments and countermeasure development. Unfortunately, active surveillance programs are often resource‐intensive, and thus, enhancing programs for increased efficiency is paramount. Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems. We use a form of machine learning, gradient boosted trees, to estimate the probability of isolating avian influenza viruses (AIV) from wild bird samples collected during surveillance for AIVs from 2006 to 2011 in the United States. We examined several predictive features including age, sex, bird type, geographic location and matrix gene rRT‐PCR results. Our final model had high predictive power and only included geographic location and rRT‐PCR results as important predictors. The highest predicted viral isolation probability was for samples collected from the north‐central states and the south‐eastern region of Alaska. Lower rRT‐PCR Ct‐values are associated with increased likelihood of AIV isolation, and the model estimated 16% probability of isolating AIV from samples declared negative (i.e., ≥35 Ct‐value) using the rRT‐PCR screening test and standard protocols. Our model can be used to prioritize previously collected samples for isolation and rapidly evaluate AIV surveillance designs to maximize the probability of viral isolation given limited resources and laboratory capacity.
","language":"English","publisher":"Wiley","doi":"10.1111/tbed.13318","usgsCitation":"Walsh, D.P., Ma, T.F., Ip, S., and Zhu, J., 2019, Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses: Transboundary and Emerging Diseases, v. 66, no. 6, p. 2537-2545, https://doi.org/10.1111/tbed.13318.","productDescription":"9 p.; Data Release","startPage":"2537","endPage":"2545","ipdsId":"IP-109212","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467396,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/tbed.13318","text":"Publisher Index Page"},{"id":368966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418298,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96YJRWR"}],"volume":"66","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Ting Fung","contributorId":220321,"corporation":false,"usgs":false,"family":"Ma","given":"Ting","email":"","middleInitial":"Fung","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":774747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":774749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207963,"text":"70207963 - 2019 - Drinking water quality in the glacial aquifer system, northern USA","interactions":[],"lastModifiedDate":"2020-01-22T11:42:02","indexId":"70207963","displayToPublicDate":"2019-08-02T14:25:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drinking water quality in the glacial aquifer system, northern USA","docAbstract":"Groundwater supplies 50% of drinking water worldwide, but compromised water quality from anthropogenic and geogenic contaminants can limit usage of groundwater as a drinking water source. Groundwater quality in the glacial aquifer system, USA (GLAC), is presented in the context of a hydrogeologic framework that divides the study area into 17 hydrogeologic terranes. Results are reported at aquifer-system scale and regional (terrane) scale. This paper presents a quantitative assessment of groundwater quality in the GLAC using data from numerous sources for samples collected 2005–2013, compared to health-based and aesthetic (non-health) benchmarks, and evaluated with areal and population metrics. Concentrations above a benchmark are considered high. Trace elements are widespread across the study area, with an estimated 5.7 million people relying on groundwater with high concentrations of one or more trace elements; manganese and arsenic are most often at high concentration. Nitrate is found at high concentration in 4.0% of the study area, serving about 740 thousand people. Organic compounds including pesticides and volatile organic compounds are high in 2.0% of the assessed study area, with about 870 thousand people relying on groundwater with high concentrations of an organic compound. High arsenic and manganese concentrations occur primarily in the terranes with thick, stratigraphically complex, fine-grained glacial sediment, coincident with groundwater under reducing conditions (indicated by iron concentrations >100 μg/L); high nitrate is uncommon in those same terranes. When nitrate is high in thick, fine-grained, complex terranes, though, it is much more commonly associated with groundwater under more oxidizing conditions. Common geogenic trace elements occur at high concentration due to characteristic geologic and geochemical conditions. Conversely, anthropogenic nitrate and organic compounds are introduced at or near the land surface. High concentrations of nitrate or organic compounds are generally limited to areas in proximity where people live and use the chemicals.
Diagnoses, comparisons, photographs and distribution maps are given for three previously described Indo-West Pacific species of Trachinotus that develop spots on their sides as adults. A new species, Trachinotus macrospilus, is described from the Marquesas Islands where it is endemic and the only species of the genus present. It differs from the other spotted Indo-West Pacific species most noticeably in having adults with only one or two large spots on each side, the largest spot larger than the iris diameter, and in having no large spot positioned above the pectoral fin. An identification key is given for all Indo-West Pacific species of Trachinotus and a molecular phylogeny, including 16 of the 20 valid species of Trachinotus is presented. A neotype is designated for Scomber botla Shaw, 1803.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4651.1.1","usgsCitation":"Smith-Vaniz, W.F., and Walsh, S.J., 2019, Indo-West Pacific species of Trachinotus with spots on their sides as adults, with description of a new species endemic to the Marquesas Islands (Teleostei: Carangidae): Zootaxa, v. 4651, no. 1, p. 1-37, https://doi.org/10.11646/zootaxa.4651.1.1.","productDescription":"37 p.","startPage":"1","endPage":"37","ipdsId":"IP-104733","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":486938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/zootaxa.4651.1.1","text":"Publisher Index Page"},{"id":366441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4651","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith-Vaniz, William F.","contributorId":214722,"corporation":false,"usgs":false,"family":"Smith-Vaniz","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":767963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Stephen J. 0000-0002-1009-8537","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":217982,"corporation":false,"usgs":true,"family":"Walsh","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":767962,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204615,"text":"70204615 - 2019 - Zooplankton dynamics in a Great Lakes connecting channel: Exploring the seasonal composition within the St. Clair-Detroit River System","interactions":[],"lastModifiedDate":"2019-10-09T09:31:48","indexId":"70204615","displayToPublicDate":"2019-08-02T11:22:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Zooplankton dynamics in a Great Lakes connecting channel: Exploring the seasonal composition within the St. Clair-Detroit River System","docAbstract":"The connecting channels linking the Laurentian Great Lakes provide important migration routes, spawning grounds, and nursery habitat for fish, but their role as conduits between lakes for zooplankton is less understood. To address this knowledge gap in the St. Clair–Detroit River System (SCDRS), a comprehensive survey of crustacean zooplankton was performed in both riverine and lacustrine habitats from spring to fall 2014, providing the first system-wide assessment of zooplankton in the SCDRS. Zooplankton density and biomass were greatest in northern reaches of the system (southern Lake Huron and the St. Clair River) and decreased downstream towards Lake Erie. The composition of zooplankton also changed moving downstream, transitioning from a community dominated by calanoid copepods, to more cyclopoids and cladocerans in the Detroit River, and to cladocerans dominant in western Lake Erie. Coincidentally, species richness increased as sampling progressed downstream, and we estimated that our single-year sampling regime identified ~88% of potential taxa. Other species assemblages have responded positively to recent water quality and habitat restoration efforts in the SCDRS, and this survey of the zooplankton community provides benchmark information necessary to assess its response to continued recovery. In addition, information regarding the lower trophic levels of the system is integral to understanding recruitment of ecologically and economically valuable fish species targeted for recovery in the SCDRS.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.07.010","usgsCitation":"Keeler, K., Tucker, T., Mayer, C.M., Taylor, W.W., and Roseman, E., 2019, Zooplankton dynamics in a Great Lakes connecting channel: Exploring the seasonal composition within the St. Clair-Detroit River System: Journal of Great Lakes Research, v. 45, no. 5, p. 888-900, https://doi.org/10.1016/j.jglr.2019.07.010.","productDescription":"13 p.","startPage":"888","endPage":"900","ipdsId":"IP-098022","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":437374,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CN72V8","text":"USGS data release","linkHelpText":"Zooplankton of the St. Clair-Detroit River System, 2012-2014 (ver. 1.2, February 2021)"},{"id":366295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"St. Clair-Detroit River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.3917236328125,\n 41.96970131621059\n ],\n [\n -82.166748046875,\n 41.96970131621059\n ],\n [\n -82.166748046875,\n 43.10298826174054\n ],\n [\n -83.3917236328125,\n 43.10298826174054\n ],\n [\n -83.3917236328125,\n 41.96970131621059\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keeler, Kevin (Contractor) 0000-0002-8118-0060","orcid":"https://orcid.org/0000-0002-8118-0060","contributorId":217907,"corporation":false,"usgs":true,"family":"Keeler","given":"Kevin (Contractor)","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":767780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Taaja 0000-0003-1534-4677","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":217908,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":767781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M","contributorId":195893,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":767782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":767783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":767784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205556,"text":"70205556 - 2019 - Regional patterns of anthropogenic influences on streams and rivers in the conterminous United States, from the early 1970s to 2012","interactions":[],"lastModifiedDate":"2019-09-25T10:18:35","indexId":"70205556","displayToPublicDate":"2019-08-02T10:15:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Regional patterns of anthropogenic influences on streams and rivers in the conterminous United States, from the early 1970s to 2012","docAbstract":"This paper introduces a dataset containing consistent time-series measurements of anthropogenic activities potentially affecting stream quality across the conterminous United States and summarizes the most noteworthy trends from 61 variables in 16 categories. Data include measures of atmospheric deposition, agricultural production, livestock, urbanization, irrigation, land use, nutrients from fertilizer, dams/reservoirs, and pesticide use, among others. The trend periods range from 10 to 40 years, beginning as early as 1970 and ending in 2012. Detailed summaries are provided for 1992-2012. Key results include: increase of urbanization and ‘exurbanization’, particularly in the South, Southwest, and Mid-Atlantic; increases in crop production and fertilizer use in much of the Midwest; increases in the concentration of livestock, particularly of hogs and pigs; increases in irrigation, dams, and reservoirs in the Lower Mississippi and Lower Missouri watersheds, widespread increase in the use of the pesticide glyphosate; and widespread decrease in atmospheric deposition of sulfate. These results and others provide a framework for evaluating potential causes of water-quality changes over the past four decades.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2019.1590473","usgsCitation":"Falcone, J.A., Murphy, J.C., and Sprague, L.A., 2019, Regional patterns of anthropogenic influences on streams and rivers in the conterminous United States, from the early 1970s to 2012: Journal of Land Use Science, v. 13, no. 6, p. 585-614, https://doi.org/10.1080/1747423X.2019.1590473.","productDescription":"30 p.","startPage":"585","endPage":"614","ipdsId":"IP-099141","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2019.1590473","text":"Publisher Index 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jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":173496,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":771629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":771630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":771631,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227250,"text":"70227250 - 2019 - Cambarus fetzneri sp. nov., a new species of burrowing crayfish (Decapoda: Cambaridae) from the Allegheny Mountains of Virginia and West Virginia, USA","interactions":[],"lastModifiedDate":"2022-01-05T14:49:54.861908","indexId":"70227250","displayToPublicDate":"2019-08-02T08:34:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cambarus fetzneri sp. nov., a new species of burrowing crayfish (Decapoda: Cambaridae) from the Allegheny Mountains of Virginia and West Virginia, USA","title":"Cambarus fetzneri sp. nov., a new species of burrowing crayfish (Decapoda: Cambaridae) from the Allegheny Mountains of Virginia and West Virginia, USA","docAbstract":"The disjunct distribution of Cambarus monongalensis has led to speculation about its taxonomic status. An Appalachian Plateau population occurs in northern and central West Virginia and Southwestern Pennsylvania, and a mountain population occurs in the Allegheny Mountains and Ridge and Valley physiographic provinces of the Virginias. Herein we describe the mountain population as Cambarus fetzneri sp. nov. The two species differ genetically and morphologically, and have different color patterns. Specifically, C. fetzneri sp. nov. chelae lack extensive red coloration on the distal end of the propodus and dactyl, possess rostral margins that lack any red coloration, compared to C. monongalensis, which has extensive red coloration on the dactyl and propodus, as well as red rostral margins. Morphologically, the rostrum of C. fetzneri sp. nov. is shorter and wider than that of C. monongalensis. Also, adult C. fetzneri sp. nov. are considerably smaller in body size than those of C. monongalensis.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4651.1.2","usgsCitation":"Loughman, Z.J., Welsh, S.A., and Thoma, R., 2019, Cambarus fetzneri sp. nov., a new species of burrowing crayfish (Decapoda: Cambaridae) from the Allegheny Mountains of Virginia and West Virginia, USA: Zootaxa, v. 4651, no. 1, p. 38-50, https://doi.org/10.11646/zootaxa.4651.1.2.","productDescription":"13 p.","startPage":"38","endPage":"50","ipdsId":"IP-107748","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Allegheny Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.364990234375,\n 36.54494944148322\n ],\n [\n -78.848876953125,\n 37.68382032669382\n ],\n [\n -78.079833984375,\n 38.65119833229951\n ],\n [\n -78.057861328125,\n 39.06184913429154\n ],\n [\n -78.01391601562499,\n 39.605688178320804\n ],\n [\n -78.167724609375,\n 39.715638134796336\n ],\n [\n -78.486328125,\n 39.53793974517628\n ],\n [\n -78.782958984375,\n 39.62261494094297\n ],\n [\n -79.1015625,\n 39.470125122358176\n ],\n [\n -79.486083984375,\n 39.21523130910491\n ],\n [\n -79.486083984375,\n 39.30029918615029\n ],\n [\n -79.859619140625,\n 39.33429742980725\n ],\n [\n -80.474853515625,\n 38.54816542304656\n ],\n [\n -82.012939453125,\n 37.54457732085582\n ],\n [\n -82.705078125,\n 37.15156050223665\n ],\n [\n -83.133544921875,\n 36.81808022778526\n ],\n [\n -83.660888671875,\n 36.60670888641815\n ],\n [\n -80.364990234375,\n 36.54494944148322\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4651","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":270905,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":830111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thoma, Roger F.","contributorId":270906,"corporation":false,"usgs":false,"family":"Thoma","given":"Roger F.","affiliations":[{"id":56219,"text":"Midwest Biodiversity Institute","active":true,"usgs":false}],"preferred":false,"id":830112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205853,"text":"70205853 - 2019 - From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa)","interactions":[],"lastModifiedDate":"2019-10-29T16:46:16","indexId":"70205853","displayToPublicDate":"2019-08-01T16:43:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5882,"text":"International Oaks","active":true,"publicationSubtype":{"id":10}},"displayTitle":"From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa)","title":"From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa)","docAbstract":"In the taxonomic world, the oaks are known as a rambunctious group, notorious for hybridizing. In this report, we present preliminary information to address the question of how much hybridization is occurring between bur oak and white oaks with which it is sympatric, through rangewide sampling of bur oak and five co-occurring species: white oak (Q. alba L.), swamp white oak (Q. bicolor Willd.), post oak (Q. stellata Wangenh.), chinkapin oak (Q. muehlenbergii Engelm.), and overcup oak (Q. lyrata Walter). Bur oak is known to hybridize with all of these species (Hardin 1975). Using our multilocus dataset, we find that despite apparent introgression, these oak species are genetically cohesive.
","language":"English","publisher":"International Oak Society","isbn":"1941-2061","usgsCitation":"Garner, M., Pham, K., Whittemore, A.T., Cavender-Bares, J., Gugger, P.F., Manos, P., Pearse, I.S., and Hipp, A., 2019, From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa): International Oaks, v. 20, p. 131-138.","productDescription":"8 p.","startPage":"131","endPage":"138","ipdsId":"IP-106439","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":368725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Garner, Mira","contributorId":219593,"corporation":false,"usgs":false,"family":"Garner","given":"Mira","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":772624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pham, Kasey","contributorId":219594,"corporation":false,"usgs":false,"family":"Pham","given":"Kasey","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":772625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittemore, Alan T.","contributorId":219595,"corporation":false,"usgs":false,"family":"Whittemore","given":"Alan","email":"","middleInitial":"T.","affiliations":[{"id":40034,"text":"U.S. National Arboretum","active":true,"usgs":false}],"preferred":false,"id":772626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavender-Bares, Jeannine","contributorId":219596,"corporation":false,"usgs":false,"family":"Cavender-Bares","given":"Jeannine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":772627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gugger, Paul F.","contributorId":206006,"corporation":false,"usgs":false,"family":"Gugger","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":772628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manos, Paul","contributorId":219597,"corporation":false,"usgs":false,"family":"Manos","given":"Paul","email":"","affiliations":[{"id":40036,"text":"Duke U.","active":true,"usgs":false}],"preferred":false,"id":772629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearse, Ian S. 0000-0001-7098-0495 ipearse@usgs.gov","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":196309,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","email":"ipearse@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":772623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hipp, Andrew","contributorId":219598,"corporation":false,"usgs":false,"family":"Hipp","given":"Andrew","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":772630,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205046,"text":"70205046 - 2019 - White-tailed deer movements and space use on Fire Island: A four-year radio-telemetry study 2015-2016 post-Hurricane Sandy assessment","interactions":[],"lastModifiedDate":"2020-04-11T16:02:22.734588","indexId":"70205046","displayToPublicDate":"2019-08-01T14:26:24","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2019/2037","title":"White-tailed deer movements and space use on Fire Island: A four-year radio-telemetry study 2015-2016 post-Hurricane Sandy assessment","docAbstract":"Hurricane Sandy provided a unique opportunity to better understand the movements of Fire Island’s dense white-tailed deer (Odocoileus virginianus borealis) herds. White-tailed deer inhabit all areas of Fire Island National Seashore and their high densities negatively affect native vegetation in several areas of the island, especially as disturbed areas attempt to recover after a catastrophic storm like Hurricane Sandy. Understanding deer movements and space use helps land managers to prioritize white-tailed deer population size and the health and recovery potential of Fire Island’s natural lands according to their management goals. The results of this study will inform Fire Island staff as they prepare to initiate the tasks set forth by the Seashore’s approved Deer Management Plan.\n \nWe used radio-collars fitted with Very High Frequency (VHF) signal and Global Positioning System (GPS) technology to monitor movements of white-tailed deer for four years after Hurricane Sandy. The greatest movements of Fire Island’s adult female white-tailed deer occurred in spring each year. Home range and core area sizes varied among study areas and years, but suggested hierarchical dominance among Fire Island’s deer populations. Potentially six distinct populations were delineated through analysis of GPS radio-collar data, though these divisions also reflect the concentrated sampling efforts of deer capture. Nearly all deer monitored shared time between natural and nearby built environments. Since Hurricane Sandy, deer movements in Fire Island’s Wilderness are divided by the storm-induced breach. 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In 2018 satellite data indicated floating mats of sargassum that extended throughout the Caribbean to the northeast coast of Brazil with the highest percent coverage over the water yet recorded. A literature review suggests that Atlantic equatorial recirculation of seaweed mats combined with nutrients from several possible sources may be stimulating the growth and accumulations of sargassum. In the western equatorial recirculation area, new nutrient sources may include Amazon River floods and hurricanes; in the eastern equatorial recirculation area, nutrient sources that could sustain the sargassum blooms include coastal upwelling and Congo River freshwater and nutrients.","language":"English","publisher":"Elsevier ","doi":"10.1016/j.marpolbul.2019.06.049","usgsCitation":"Oviatt, C., Huizenga, K., Rogers, C., and Miller, J., 2019, What nutrient sources support anomalous growth and the recent sargassum mass stranding on Caribbean beaches? 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We summarize the disease ecology of four major emerging amphibian infectious agents: chytrids, ranaviruses, trematodes, and Perkinsea. We focus on recently developed quantitative advances that build on well-established ecological theories and aid in studying epizootic and enzootic disease dynamics. For example, we identify ecological and evolutionary selective forces that determine disease outcomes and transmission pathways by borrowing ideas from population and community ecology theory. We outline three topics of general interest in disease ecology: (i) the relationship between biodiversity and disease risk, (ii) individual, species, or environmental transmission heterogeneity, and (iii) pathogen coinfections. Finally, we identify specific knowledge gaps impeding the success of conservation-related decisions for disease mitigation and the future of amphibian conservation success.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.05.034","usgsCitation":"Campbell Grant, E.H., and G, D., 2019, Overview of emerging amphibian pathogens and modeling advances for conservation-related decisions: Biological Conservation, v. 236, p. 474-484, https://doi.org/10.1016/j.biocon.2019.05.034.","productDescription":"11 p.","startPage":"474","endPage":"484","ipdsId":"IP-105941","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.05.034","text":"Publisher Index Page"},{"id":368103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"236","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"G, Direnzo","contributorId":219581,"corporation":false,"usgs":false,"family":"G","given":"Direnzo","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":772605,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205849,"text":"70205849 - 2019 - Proactive management of amphibians: Challenges and opportunities","interactions":[],"lastModifiedDate":"2019-10-08T12:53:35","indexId":"70205849","displayToPublicDate":"2019-08-01T12:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Proactive management of amphibians: Challenges and opportunities","docAbstract":"Delaying species management reduces the chance of successful recovery, increases the risk of extinction, and can be expensive. Acting before major declines are realized affords access to a greater suite of cost-effective management actions to sustain populations, reducing the likelihood of declines warranting protected status. It is clear that reactive management approaches are not sufficient for amphibian conservation and a successful path forward will require novel proactive approaches and strong leadership. We describe how conservation timelines and structured decision making can help explicitly evaluate management options available to species given current, and often limited, knowledge about populations or distributions. We illustrate this framework using common and widespread amphibians, as many species are in decline, including those found in protected conservation areas. We promote the development of explicit management objectives, management triggers and advocate for evaluating the cost-effectiveness of actions before species declines are observed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.05.057","usgsCitation":"Sterrett, S., Campbell Grant, E.H., R, K., Brand, A., Fields, W.R., Dietrich, A., D, H., T, F., and Wiewel, A., 2019, Proactive management of amphibians: Challenges and opportunities: Biological Conservation, v. 236, p. 404-410, https://doi.org/10.1016/j.biocon.2019.05.057.","productDescription":"7 p.","startPage":"404","endPage":"410","ipdsId":"IP-105940","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368095,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0006320718316136"}],"volume":"236","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, SC","contributorId":219582,"corporation":false,"usgs":false,"family":"Sterrett","given":"SC","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":772607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"R, Katz","contributorId":219583,"corporation":false,"usgs":false,"family":"R","given":"Katz","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":772608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":219584,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, William R.","contributorId":152076,"corporation":false,"usgs":false,"family":"Fields","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":772610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dietrich, A","contributorId":219585,"corporation":false,"usgs":false,"family":"Dietrich","given":"A","email":"","affiliations":[{"id":40031,"text":"PWRC","active":true,"usgs":false}],"preferred":false,"id":772611,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D, Hocking","contributorId":219586,"corporation":false,"usgs":false,"family":"D","given":"Hocking","email":"","affiliations":[{"id":40032,"text":"Frostburg state","active":true,"usgs":false}],"preferred":false,"id":772612,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"T, Foreman","contributorId":219587,"corporation":false,"usgs":false,"family":"T","given":"Foreman","email":"","affiliations":[{"id":40031,"text":"PWRC","active":true,"usgs":false}],"preferred":false,"id":772613,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiewel, A","contributorId":219588,"corporation":false,"usgs":false,"family":"Wiewel","given":"A","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":772614,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205003,"text":"70205003 - 2019 - Mapping research on hydropower and sustainability in the Brazilian Amazon: Advances, gaps in knowledge and future directions","interactions":[],"lastModifiedDate":"2019-08-28T12:39:15","indexId":"70205003","displayToPublicDate":"2019-08-01T12:22:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5061,"text":"Current Opinion in Environmental Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Mapping research on hydropower and sustainability in the Brazilian Amazon: Advances, gaps in knowledge and future directions","docAbstract":"In the last twenty years, multiple large and small hydroelectric dams have begun to transform the Amazonian region, spawning a growing volume of academic research across diverse disciplinary and interdisciplinary fields. 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