We determined whole-fish Hg concentrations of 26 female and 34 male adult lake whitefish (Coregonus clupeaformis) from northern Lake Huron captured during November 2010. Subsampling from these 60 fish, Hg concentration was also determined in both the somatic tissue and ovaries (n=5), while methylmercury (MeHg) concentration was determined in whole fish (n=18). Bioenergetics modeling was used to assess the growth dilution effect on the difference in Hg concentrations between the sexes. Mean whole-fish Hg concentration in females (59.9 ng/g) was not significantly different from mean whole-fish Hg concentration in males (54.4 ng/g). MeHg accounted for 91% of the mercury found in the lake whitefish. Bioenergetics modeling results indicated that the growth dilution effect did not contribute to a difference in Hg concentration between the sexes. We estimated that females increased in Hg concentration by 17.9%, on average, immediately after spawning due to release of eggs. Using PCB data for the same 60 lake whitefish from a previous study, we detected a significant interaction between sex and contaminant type (Hg or PCBs), which was attributable to males being significantly higher in PCB concentration than females. Males may be eliminating Hg at a faster rate than females.
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A growing number of tools can quantify ecosystem service tradeoffs associated with forest restoration. This evolving “tools landscape” presents a dilemma: more tools are available, but selecting appropriate tools has become more challenging. We present a Restoration Ecosystem Service Tool Selector (RESTS) framework that describes key characteristics of 13 ecosystem service assessment tools. Analysts enter information about their decision context, services to be analyzed, and desired outputs. Tools are filtered and presented based on five evaluative criteria: scalability, cost, time requirements, handling of uncertainty, and applicability to benefit-cost analysis. RESTS uses a spreadsheet interface but a web-based interface is planned. Given the rapid evolution of ecosystem services science, RESTS provides an adaptable framework to guide forest restoration decision makers toward tools that can help quantify ecosystem services in support of restoration.
","language":"English","publisher":"Springer-Verlag","doi":"10.1186/s40663-016-0062-y","usgsCitation":"Christin, Z., Bagstad, K.J., and Verdone, M., 2016, A decision framework for identifying models to estimate forest ecosystem services gains from restoration: Forest Ecosystems, v. 3, no. 3, 12 p., https://doi.org/10.1186/s40663-016-0062-y.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068599","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40663-016-0062-y","text":"Publisher Index Page"},{"id":323946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-10","publicationStatus":"PW","scienceBaseUri":"576913aee4b07657d19fef82","contributors":{"authors":[{"text":"Christin, Zachary","contributorId":166875,"corporation":false,"usgs":false,"family":"Christin","given":"Zachary","email":"","affiliations":[{"id":24565,"text":"Earth Economics","active":true,"usgs":false}],"preferred":false,"id":620239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":620238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdone, Michael","contributorId":166876,"corporation":false,"usgs":false,"family":"Verdone","given":"Michael","email":"","affiliations":[{"id":24566,"text":"International Union for the Conservation of Nature","active":true,"usgs":false}],"preferred":false,"id":620240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178038,"text":"70178038 - 2016 - Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences","interactions":[],"lastModifiedDate":"2016-11-01T13:22:57","indexId":"70178038","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences","docAbstract":"We examined the relationship between fishing trip expenditures and anglers’ species preferences from a survey of Oklahoma resident anglers conducted in 2014. Understanding patterns in fishing trip expenditures is important because a significant share of state wildlife agency revenue comes from taxes on purchases of fishing equipment. Presently, there is little research that addresses the question of how spending levels vary within groups of sportspersons, including anglers. We used regression analysis to identify a relationship between trip spending and several preference variables, and included controls for other characteristics of fishing trips, such as location, party size, and duration. We received 780 surveys for a response rate of 26%, but only 506 were useable due to missing data or nonfishing responses. Average trip expenditures were approximately US$140, regardless of species preferences, but anglers who preferred to fish for trout and black bass tended to spend more than those who preferred to fish for catfish and panfish. These results were even more pronounced when location was considered, those who last fished at lakes spending more than those who fished at rivers or ponds. The results underscore the differences in spending among anglers with different preferred species and fishing locations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1167142","usgsCitation":"Long, J.M., and Melstrom, R.T., 2016, Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences: North American Journal of Fisheries Management, v. 36, no. 4, p. 731-737, https://doi.org/10.1080/02755947.2016.1167142.","productDescription":"7 p.","startPage":"731","endPage":"737","ipdsId":"IP-069053","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5819a9c4e4b0bb36a4c91027","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melstrom, Richard T.","contributorId":176513,"corporation":false,"usgs":false,"family":"Melstrom","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652633,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178112,"text":"70178112 - 2016 - Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","interactions":[],"lastModifiedDate":"2018-07-09T12:14:08","indexId":"70178112","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","docAbstract":"A three-dimensional lithospheric-scale resistivity model of the North American mid-continent has been estimated based upon EarthScope magnetotelluric data. Details of the resistivity model are discussed in relation to lithospheric sutures, defined primarily from aeromagnetic and geochronologic data, which record the southward growth of the Laurentian margin in the Proterozoic. The resistivity signature of the 1.1 Ga Mid-continent Rift System is examined in detail, in particular as relates to rift geometry, extent, and segmentation. An unrecognized expanse of (concealed) Proterozoic deltaic deposits in Kansas is identified and speculated to result from axial drainage along the southwest rift arm akin to the Rio Grande delta which drains multiple rift basins. A prominent conductor traces out Cambrian rifting in Arkansas, Missouri, Tennessee, and Kentucky; this linear conductor has not been imaged before and suggests that the Cambrian rift system may have been more extensive than previously thought. The highest conductivity within the mid-continent is imaged in Minnesota, Michigan, and Wisconsin where it is coincident with Paleoproterozoic metasedimentary rocks. The high conductivity is attributed to metallic sulfides, and in some cases, graphite. The former is a potential source of sulfur for multiple mineral deposits types, occurrences of which are found throughout the region. Finally, the imprint left within the mantle following the 1.1 Ga rifting event is examined. Variations in lithospheric mantle conductivity are observed and are interpreted to reflect variations in water content (depleted versus metasomatized mantle) imprinted upon the mantle by the Keweenawan mantle plume.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2016.03.009","usgsCitation":"Bedrosian, P.A., 2016, Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data: Precambrian Research, v. 278, p. 337-361, https://doi.org/10.1016/j.precamres.2016.03.009.","productDescription":"15 p.","startPage":"337","endPage":"361","ipdsId":"IP-071110","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":470941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2016.03.009","text":"Publisher Index Page"},{"id":330684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb7","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":652813,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70169295,"text":"ofr20161028 - 2016 - Geologic and geochemical results from boreholes drilled in Yellowstone National Park, Wyoming, 2007 and 2008","interactions":[],"lastModifiedDate":"2016-06-02T09:02:44","indexId":"ofr20161028","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1028","title":"Geologic and geochemical results from boreholes drilled in Yellowstone National Park, Wyoming, 2007 and 2008","docAbstract":"Between 2007 and 2008, seven Earthscope Plate Boundary Observatory (PBO) boreholes ranging in depth from about 200 to 800 feet deep were drilled in and adjacent to the Yellowstone caldera in Yellowstone National Park, for the purpose of installing volcano monitoring instrumentation. Five of the seven boreholes were equipped with strainmeters, downhole seismometers, and tiltmeters. Data collected during drilling included field observations of drill cuttings, stratigraphy within the boreholes, water temperature, and water and drill cuttings samples from selected depths.
\nSix of the seven boreholes encountered rhyolite lavas and tuffs. The rhyolite lavas compose the Canyon flow, the Gardner River flow, the Gibbon River flow, the Hayden Valley flow, the Nez Perce Creek flow, and the West Thumb flow. Boreholes also penetrated a vertical sequence through the Lava Creek Tuff and the Tuff of Bluff Point. In addition, one borehole drilled through a Swan Lake Flat Basalt sequence and terminated in a rhyolite lava flow.
\nAfter drilling the seven PBO boreholes, cuttings were examined and selected for preparation of grain mounts, thin sections, and geochemical analysis. Major ions and trace elements (including rare earth elements) of selected cuttings were determined by x-ray fluorescence (XRF) and inductively coupled plasma-mass spectrometry (ICP-MS); the ICP-MS provided more precise trace-element analysis than XRF. A preliminary interpretation of the results of geochemical analyses generally shows a correlation between borehole cuttings and previously mapped geology. The geochemical data and borehole stratigraphy presented in this report provide a foundation for future petrologic, geochemical, and geophysical studies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161028","collaboration":"Prepared in cooperation with the National Park Service, Yellowstone National Park, and Earthscope Plate Boundary Observatory","usgsCitation":"Jaworowski, C., Susong, D., Heasler, H., Mencin, D., Johnson, W., Conrey, R., and Von Stauffenberg, J., 2016,\nGeologic and geochemical results from boreholes drilled in Yellowstone National Park, Wyoming, 2007 and 2008:\nU.S. Geological Survey Open-File Report 2016-1028, 39 p. https://dx.doi.org/10.3133/ofr20161028","productDescription":"Report: viii, 39 p.; 2 Appendixes","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064084","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":321191,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1028/ofr20161028.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1028"},{"id":321192,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1028/ofr20161028_appendix01.xlsx","text":"Appendix 1","size":"74 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1028 Appendix 1"},{"id":321193,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1028/ofr20161028_appendix02.xlsx","text":"Appendix 2","size":"35 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1028 Appendix 2"},{"id":321190,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1028/coverthb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.93994140625,\n 44.402391829093915\n ],\n [\n -110.93994140625,\n 44.93758500391091\n ],\n [\n -110.0830078125,\n 44.93758500391091\n ],\n [\n -110.0830078125,\n 44.402391829093915\n ],\n [\n -110.93994140625,\n 44.402391829093915\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Utah Water Science Center
U.S. Geological Survey
2329 Orton Circle
Salt Lake City, Utah 84119-2047
http://ut.water.usgs.gov
Trichopsis vittata (Cuvier, 1831) is a small, freshwater gourami (Fam: Osphronemidae) native to southeast Asia. It was first detected in Florida in the 1970s and seems to have persisted for decades in a small area. In this study, we documented T. vittata’s ecophysiological tolerances (salinity and low-temperature) and qualitatively compared them to published values for other sympatric non-native species that have successfully invaded much of the Florida peninsula. Trichopsis vittata survived acute salinity shifts to 16 psu and was able to survive up to 20 psu when salinity was raised more slowly (5 psu per week). In a cold-tolerance experiment, temperature was lowered from 24 °C at 1 °C hr-1 until fish died. Mean temperature at death (i.e., lower lethal limit) was 7.2 °C. Trichopsis vittata seems as tolerant or more tolerant than many other sympatric non-native fishes for the variables we examined. However, T. vittata is the only species that has not dispersed since its introduction. Species other than T. vittata have broadly invaded ranges, many of which include the entire lower third of the Florida peninsula. It is possible that tolerance to environmental parameters serves as a filter for establishment, wherein candidate species must possess the ability to survive abiotic extremes as a first step. However, a species’ ability to expand its geographic range may ultimately rely on a secondary set of criteria including biotic interactions and life-history variables.
","language":"English","publisher":"PenSoft","doi":"10.3897/neobiota.28.5259","usgsCitation":"Schofield, P.J., and Schulte, J., 2016, Small but tough: What can ecophysiology of croaking gourami Trichopsis vittatus (Cuvier 1831) tell us about invasiveness of non-native fishes in Florida?: NeoBiota, v. 28, p. 51-65, https://doi.org/10.3897/neobiota.28.5259.","productDescription":"15 p.","startPage":"51","endPage":"65","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061383","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.28.5259","text":"Publisher Index Page"},{"id":323969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-08","publicationStatus":"PW","scienceBaseUri":"576913e7e4b07657d19ff268","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":626941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Jessica jschulte@usgs.gov","contributorId":168660,"corporation":false,"usgs":true,"family":"Schulte","given":"Jessica","email":"jschulte@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":626942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170651,"text":"70170651 - 2016 - Future land-use related water demand in California","interactions":[],"lastModifiedDate":"2016-06-29T15:03:33","indexId":"70170651","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Future land-use related water demand in California","docAbstract":"Water shortages in California are a growing concern amidst ongoing drought, earlier spring snowmelt, projected future climate warming, and currently mandated water use restrictions. Increases in population and land use in coming decades will place additional pressure on already limited available water supplies. We used a state-and-transition simulation model to project future changes in developed (municipal and industrial) and agricultural land use to estimate associated water use demand from 2012 to 2062. Under current efficiency rates, total water use was projected to increase 1.8 billion cubic meters(+4.1%) driven primarily by urbanization and shifts to more water intensive crops. Only if currently mandated 25% reductions in municipal water use are continuously implemented would water demand in 2062 balance to water use levels in 2012. This is the first modeling effort of its kind to examine regional land-use related water demand incorporating historical trends of both developed and agricultural land uses.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/11/5/054018","usgsCitation":"Wilson, T., Sleeter, B.M., and Cameron, D.R., 2016, Future land-use related water demand in California: Environmental Research Letters, v. 11, no. 5, Article 054018; 12 p., https://doi.org/10.1088/1748-9326/11/5/054018.","productDescription":"Article 054018; 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066502","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/5/054018","text":"Publisher Index Page"},{"id":324643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.92626953124999,\n 40.79717741518769\n ],\n [\n -120.62988281249999,\n 38.47939467327645\n ],\n [\n -118.38867187500001,\n 36.03133177633187\n ],\n [\n -115.55419921875,\n 32.657875736955305\n ],\n [\n -117.158203125,\n 32.52828936482526\n ],\n [\n -120.76171875,\n 34.45221847282654\n ],\n [\n -122.32177734375,\n 36.77409249464195\n ],\n [\n -123.92578125,\n 38.95940879245423\n ],\n [\n -123.46435546875,\n 39.67337039176558\n ],\n [\n -122.76123046875,\n 40.44694705960048\n ],\n [\n -121.92626953124999,\n 40.79717741518769\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-17","publicationStatus":"PW","scienceBaseUri":"5774e339e4b07dd077c5fc36","contributors":{"authors":[{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":627978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":627979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, D. Richard","contributorId":168996,"corporation":false,"usgs":false,"family":"Cameron","given":"D.","email":"","middleInitial":"Richard","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":627980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170569,"text":"70170569 - 2016 - One thousand years of fires: Integrating proxy and model data","interactions":[],"lastModifiedDate":"2020-12-17T21:13:58.236532","indexId":"70170569","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5093,"text":"Frontiers of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"One thousand years of fires: Integrating proxy and model data","docAbstract":"The current fires raging across Indonesia are emitting more carbon than the annual fossil fuel emissions of Germany or Japan, and the fires are still consuming vast tracts of rainforest and peatlands. The National Interagency Fire Center (www.nifc.gov) notes that 2015 is one worst fire years on record in the U.S., where more than 9 million acres burned -- equivalent to the combined size of Massachusetts and New Jersey. The U.S. and Indonesian fires have already displaced tens of thousands of people, and their impacts on ecosystems are still unclear. In the case of Indonesia, the burning peat is destroying much of the existing soil, with unknown implications for the type of vegetation regrowth. Such large fires result from a combination of fire management practices, increasing anthropogenic land use, and a changing climate.
\nThe expected increase in fire activity in the upcoming decades has led to a surge in research trying to understand their causes, the factors that may have influenced similar times of fire activity in the past, and the implications of such fire activity in the future. Multiple types of complementary data provide information on the impacts of current fires and the extent of past fires. The wide array of data encompasses different spatial and temporal resolutions (Figure 1) and includes fire proxy information such as charcoal and tree ring fire scars, observational records, satellite products, modern emissions data, fire models within global land cover and vegetation models, and sociodemographic data for modeling past human land use and ignition frequency. Any single data type is more powerful when combined with another source of information. Merging model and proxy data enables analyses of how fire activity modifies vegetation distribution, air and water quality, and proximity to cities; these analyses in turn support land management decisions relating to conservation and development.
","language":"English","publisher":"University of California","doi":"10.21425/F5FBG29606","usgsCitation":"Kehrwald, N.M., Aleman, J.C., Coughlan, M., Courtney Mustaphi, C.J., Githumbi, E.N., Magi, B.I., Marlon, J.R., and Power, M.J., 2016, One thousand years of fires: Integrating proxy and model data: Frontiers of Biogeography, v. 8, no. 1, e29606; 7 p., https://doi.org/10.21425/F5FBG29606.","productDescription":"e29606; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071529","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21425/f5fbg29606","text":"Publisher Index Page"},{"id":324105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-28","publicationStatus":"PW","scienceBaseUri":"576a6546e4b07657d1a11e4c","contributors":{"authors":[{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":627693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleman, Julie C.","contributorId":168919,"corporation":false,"usgs":false,"family":"Aleman","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":25389,"text":"Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":627694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coughlan, Michael","contributorId":168920,"corporation":false,"usgs":false,"family":"Coughlan","given":"Michael","email":"","affiliations":[{"id":25390,"text":"Department of Anthropology, University of Georgia, Athens, Georgia, USA","active":true,"usgs":false}],"preferred":false,"id":627695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtney Mustaphi, Colin J.","contributorId":168921,"corporation":false,"usgs":false,"family":"Courtney Mustaphi","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Githumbi, Esther N.","contributorId":168922,"corporation":false,"usgs":false,"family":"Githumbi","given":"Esther","email":"","middleInitial":"N.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magi, Brian I.","contributorId":168923,"corporation":false,"usgs":false,"family":"Magi","given":"Brian","email":"","middleInitial":"I.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":627698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":627699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, Mitchell J.","contributorId":79032,"corporation":false,"usgs":true,"family":"Power","given":"Mitchell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":627700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70170622,"text":"70170622 - 2016 - The nation's top 25 crushed stone producers","interactions":[],"lastModifiedDate":"2020-12-17T19:04:51.128625","indexId":"70170622","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"The nation's top 25 crushed stone producers","docAbstract":"No abstract available.
","language":"English","publisher":"Randall Reilly","usgsCitation":"Willett, J.C., 2016, The nation's top 25 crushed stone producers: Aggregates Manager, v. 2016, no. June, p. 29-34.","productDescription":"6 p.","startPage":"29","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075424","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":324645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2016","issue":"June","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774e355e4b07dd077c5fd2f","contributors":{"authors":[{"text":"Willett, Jason C. 0000-0002-7598-3174 jwillett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-3174","contributorId":3516,"corporation":false,"usgs":true,"family":"Willett","given":"Jason","email":"jwillett@usgs.gov","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":627903,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70170978,"text":"70170978 - 2016 - New challenges for grizzly bear management in Yellowstone National Park","interactions":[],"lastModifiedDate":"2016-06-29T14:36:28","indexId":"70170978","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5118,"text":"Bulletin of the Shiretoko Museum","active":true,"publicationSubtype":{"id":10}},"title":"New challenges for grizzly bear management in Yellowstone National Park","docAbstract":"A key factor contributing to the success of grizzly bear Ursus arctos conservation in the Greater Yellowstone Ecosystem has been the existence of a large protected area, Yellowstone National Park. We provide an overview of recovery efforts, how demographic parameters changed as the population increased, and how the bear management program in Yellowstone National Park has evolved to address new management challenges over time. Finally, using the management experiences in Yellowstone National Park, we present comparisons and perspectives regarding brown bear management in Shiretoko National Park.
","language":"English","publisher":"Shiretoko Nature Foundation","publisherLocation":"Hokkaido, Japan","usgsCitation":"van Manen, F.T., and Gunther, K.A., 2016, New challenges for grizzly bear management in Yellowstone National Park: Bulletin of the Shiretoko Museum, v. Special Issue 1, p. 79-96.","productDescription":"18 p.","startPage":"79","endPage":"96","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069565","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":324637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324636,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://shiretoko-museum.mydns.jp/shuppan/shuppan"}],"volume":"Special Issue 1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774e348e4b07dd077c5fcc4","contributors":{"authors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":629308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173861,"text":"70173861 - 2016 - Should fatty acid signature proportions sum to 1 for diet estimation?","interactions":[],"lastModifiedDate":"2016-06-24T11:48:21","indexId":"70173861","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Should fatty acid signature proportions sum to 1 for diet estimation?","docAbstract":"Knowledge of predator diets, including how diets might change through time or differ among predators, provides essential insights into their ecology. Diet estimation therefore remains an active area of research within quantitative ecology. Quantitative fatty acid signature analysis (QFASA) is an increasingly common method of diet estimation. QFASA is based on a data library of prey signatures, which are vectors of proportions summarizing the fatty acid composition of lipids, and diet is estimated as the mixture of prey signatures that most closely approximates a predator’s signature. Diets are typically estimated using proportions from a subset of all fatty acids that are known to be solely or largely influenced by diet. Given the subset of fatty acids selected, the current practice is to scale their proportions to sum to 1.0. However, scaling signature proportions has the potential to distort the structural relationships within a prey library and between predators and prey. To investigate that possibility, we compared the practice of scaling proportions with two alternatives and found that the traditional scaling can meaningfully bias diet estimators under some conditions. Two aspects of the prey types that contributed to a predator’s diet influenced the magnitude of the bias: the degree to which the sums of unscaled proportions differed among prey types and the identifiability of prey types within the prey library. We caution investigators against the routine scaling of signature proportions in QFASA.
","language":"English","publisher":"Springer","doi":"10.1007/s11284-016-1357-8","usgsCitation":"Bromaghin, J.F., Budge, S.M., and Thiemann, G.W., 2016, Should fatty acid signature proportions sum to 1 for diet estimation?: Ecological Research, v. 31, no. 4, p. 597-606, https://doi.org/10.1007/s11284-016-1357-8.","productDescription":"10 p.","startPage":"597","endPage":"606","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071161","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":324215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-29","publicationStatus":"PW","scienceBaseUri":"576bb6bce4b07657d1a22954","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":638834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":638835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":638836,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173727,"text":"70173727 - 2016 - Optical properties of dissolved organic matter (DOM): Effects of biological and photolytic degradation","interactions":[],"lastModifiedDate":"2016-06-28T11:43:50","indexId":"70173727","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Optical properties of dissolved organic matter (DOM): Effects of biological and photolytic degradation","docAbstract":"Advances in spectroscopic techniques have led to an increase in the use of optical properties (absorbance and fluorescence) to assess dissolved organic matter (DOM) composition and infer sources and processing. However, little information is available to assess the impact of biological and photolytic processing on the optical properties of original DOM source materials. We measured changes in commonly used optical properties and indices in DOM leached from peat soil, plants, and algae following biological and photochemical degradation to determine whether they provide unique signatures that can be linked to original DOM source. Changes in individual optical parameters varied by source material and process, with biodegradation and photodegradation often causing values to shift in opposite directions. Although values for different source materials overlapped at the end of the 111-day lab experiment, multivariate statistical analyses showed that unique optical signatures could be linked to original DOM source material even after degradation, with 17 optical properties determined by discriminant analysis to be significant (p<0.05) in distinguishing between DOM source and environmental processing. These results demonstrate that inferring the source material from optical properties is possible when parameters are evaluated in combination even after extensive biological and photochemical alteration.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10270","usgsCitation":"Hansen, A., Kraus, T.E., Pellerin, B., Fleck, J., Downing, B.D., and Bergamaschi, B.A., 2016, Optical properties of dissolved organic matter (DOM): Effects of biological and photolytic degradation: Limnology and Oceanography, v. 61, no. 3, p. 1015-1032, https://doi.org/10.1002/lno.10270.","productDescription":"18 p.","startPage":"1015","endPage":"1032","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067952","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10270","text":"Publisher Index Page"},{"id":324503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-10","publicationStatus":"PW","scienceBaseUri":"57739fb5e4b07657d1a90d1d","contributors":{"authors":[{"text":"Hansen, Angela 0000-0003-0938-7611 anhansen@usgs.gov","orcid":"https://orcid.org/0000-0003-0938-7611","contributorId":171551,"corporation":false,"usgs":true,"family":"Hansen","given":"Angela","email":"anhansen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Brian A. 0000-0003-3712-7884 bpeller@usgs.gov","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":147077,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637922,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173746,"text":"70173746 - 2016 - Tools for automated acoustic monitoring within the R package monitoR","interactions":[],"lastModifiedDate":"2016-06-20T11:15:58","indexId":"70173746","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5084,"text":"Bioacoustics: The International Journal of Animal Sound and its Recording","active":true,"publicationSubtype":{"id":10}},"title":"Tools for automated acoustic monitoring within the R package monitoR","docAbstract":"The R package monitoR contains tools for managing an acoustic-monitoring program including survey metadata, template creation and manipulation, automated detection and results management. These tools are scalable for use with small projects as well as larger long-term projects and those with expansive spatial extents. Here, we describe typical workflow when using the tools in monitoR. Typical workflow utilizes a generic sequence of functions, with the option for either binary point matching or spectrogram cross-correlation detectors.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09524622.2016.1138415","usgsCitation":"Katz, J., Hafner, S.D., and Donovan, T., 2016, Tools for automated acoustic monitoring within the R package monitoR: Bioacoustics: The International Journal of Animal Sound and its Recording, v. 25, no. 2, p. 197-210, https://doi.org/10.1080/09524622.2016.1138415.","productDescription":"14 p.","startPage":"197","endPage":"210","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323983,"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":"2016-02-05","publicationStatus":"PW","scienceBaseUri":"576913eee4b07657d19ff2bb","contributors":{"authors":[{"text":"Katz, Jonathan","contributorId":8370,"corporation":false,"usgs":true,"family":"Katz","given":"Jonathan","affiliations":[],"preferred":false,"id":638248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hafner, Sasha D.","contributorId":171668,"corporation":false,"usgs":false,"family":"Hafner","given":"Sasha","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese tdonovan@usgs.gov","contributorId":171599,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188788,"text":"70188788 - 2016 - Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes","interactions":[],"lastModifiedDate":"2017-06-23T15:37:06","indexId":"70188788","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes","docAbstract":"Stratigraphic, sedimentologic (including CT 3D X-ray tomography scans), foraminiferal, and radiocarbon analyses show that at least six of seven abrupt peat-to-mud contacts in cores from a tidal marsh at Talbot Creek (South Slough, Coos Bay), record sudden subsidence (relative sea-level rise) during great megathrust earthquakes at the Cascadia subduction zone. Data for one contact are insufficient to infer whether or not it records a great earthquake—it may also have formed through local, non-seismic, hydrographic processes. To estimate the amount of subsidence marked by each contact, we expanded a previous regional modern foraminiferal dataset to 174 samples from six Oregon estuaries. Using a transfer function derived from the new dataset, estimates of coseismic subsidence across the six earthquake contacts vary from 0.31 m to 0.75 m. Comparison of subsidence estimates for three contacts in adjacent cores shows within-site differences of ≤0.10 m, about half the ±0.22 m error, although some estimates may be minimums due to uncertain ecological preferences for Balticammina pseudomacrescens in brackish environments and almost monospecific assemblages of Miliammina fusca on tidal flats. We also account for the influence of taphonomic processes, such as infiltration of mud with mixed foraminiferal assemblages into peat, on subsidence estimates. Comparisons of our subsidence estimates with values for correlative contacts at other Oregon sites suggest that some of our estimates are minimums and that Cascadia's megathrust earthquake ruptures have been heterogeneous over the past 3500 years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.04.017","usgsCitation":"Milker, Y., Nelson, A.R., Horton, B.P., Engelhart, S.E., Bradley, L., and Witter, R., 2016, Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes: Quaternary Science Reviews, v. 142, p. 143-163, https://doi.org/10.1016/j.quascirev.2016.04.017.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-074549","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://durham-repository.worktribe.com/output/1320593","text":"Publisher Index Page"},{"id":342829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"142","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe2c","contributors":{"authors":[{"text":"Milker, Yvonne","contributorId":193405,"corporation":false,"usgs":false,"family":"Milker","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":700368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false},{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":700370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":700371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":700372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":700373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70169118,"text":"70169118 - 2016 - Number of genera as a potential screening tool for assessing quality of bryophyte communities in Ohio wetlands","interactions":[],"lastModifiedDate":"2016-07-15T15:02:05","indexId":"70169118","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Number of genera as a potential screening tool for assessing quality of bryophyte communities in Ohio wetlands","docAbstract":"Bryophytes (mosses, liverworts, and hornworts) have numerous advantages as indicators of environmental quality. A quality assessment index for bryophyte species assemblages (BQAI) was developed for the State of Ohio, USA. Reliable identification of bryophytes to species often requires considerable training, practice, and time. In contrast, reliable identification to genera for most bryophytes in Ohio requires much less training. We identified 110 bryophyte species (14 liverworts and 96 mosses) belonging to 69 genera (13 liverwort and 56 moss) in 45 wetlands (27 emergent, 13 forested, and 5 shrub) in Ohio. As expected, there were more genera and higher BQAI scores in forested than in emergent wetlands. Number of genera was highly correlated (r ≥ 0.9) with BQAI in emergent and forested wetlands and for the combined set of wetlands. Number of genera and BQAI responded almost identically to an index of wetland disturbance. The results suggest that number of genera has potential as a screening tool for assessing bryophyte community quality in wetlands in some regions.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0773-4","usgsCitation":"Schumacher, W., Stapanian, M.A., Andreas, B., and Gara, B., 2016, Number of genera as a potential screening tool for assessing quality of bryophyte communities in Ohio wetlands: Wetlands, v. 36, no. 4, p. 771-778, https://doi.org/10.1007/s13157-016-0773-4.","productDescription":"8 p.","startPage":"771","endPage":"778","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070352","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":324203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-30","publicationStatus":"PW","scienceBaseUri":"576bb6b9e4b07657d1a2291f","contributors":{"authors":[{"text":"Schumacher, William","contributorId":150060,"corporation":false,"usgs":false,"family":"Schumacher","given":"William","email":"","affiliations":[{"id":17898,"text":"Ohio Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":623059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":623058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreas, Barbara","contributorId":167666,"corporation":false,"usgs":false,"family":"Andreas","given":"Barbara","email":"","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":623061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gara, Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":623060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160612,"text":"70160612 - 2016 - Book review: Current perspectives on zinc deposits","interactions":[],"lastModifiedDate":"2016-06-30T13:49:44","indexId":"70160612","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Current perspectives on zinc deposits","docAbstract":"This book, published in 2015 by the Irish Association for Economic Geology (IAEG), is a compilation of papers and abstracts written by selected authors who attended the ZINC 2010 Conference in Cork, Ireland. Unlike most books produced each decade by the IAEG, which are focused primarily on achievements of the Irish and European mineral sectors, this book has a global perspective of a single commodity—zinc. As stated in the Preface, the theme of the conference and book was quite relevant for the IAEG because Ireland has the highest concentration of zinc per square kilometer on the planet. The book contains 7 full papers and 5 extended abstracts by keynote speakers, followed by 17 extended abstracts by other presenters, plus an Appendix (reprint) of a previously published paper.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.2.545","usgsCitation":"Kelley, K.D., 2016, Book review: Current perspectives on zinc deposits: Economic Geology, v. 111, no. 2, p. 545-546, https://doi.org/10.2113/econgeo.111.2.545.","productDescription":"2 p.","startPage":"545","endPage":"546","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071331","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":324685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-22","publicationStatus":"PW","scienceBaseUri":"577642ade4b07dd077c873ed","contributors":{"authors":[{"text":"Kelley, Karen D. kdkelley@usgs.gov","contributorId":431,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":583332,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187984,"text":"70187984 - 2016 - Reevaluation of the Crooked Ridge River- Early Pleistocene (ca. 2 Ma) age and origin of the White Mesa Alluvium, northeastern Arizona","interactions":[],"lastModifiedDate":"2017-05-26T11:01:08","indexId":"70187984","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of the Crooked Ridge River- Early Pleistocene (ca. 2 Ma) age and origin of the White Mesa Alluvium, northeastern Arizona","docAbstract":"Essential features of the previously named and described Miocene Crooked Ridge River in northeastern Arizona (USA) are reexamined using new geologic and geochronologic data. Previously it was proposed that Cenozoic alluvium at Crooked Ridge and southern White Mesa was pre–early Miocene, the product of a large, vigorous late Paleogene river draining the 35–23 Ma San Juan Mountains volcanic field of southwestern Colorado. The paleoriver probably breeched the Kaibab uplift and was considered important in the early evolution of the Colorado River and Grand Canyon. In this paper, we reexamine the character and age of these Cenozoic deposits. The alluvial record originally used to propose the hypothetical paleoriver is best exposed on White Mesa, providing the informal name White Mesa alluvium. The alluvium is 20–50 m thick and is in the bedrock-bound White Mesa paleovalley system, which comprises 5 tributary paleochannels. Gravel composition, detrital zircon data, and paleochannel orientation indicate that sediment originated mainly from local Cretaceous bedrock north, northeast, and south of White Mesa. Sedimentologic and fossil evidence imply alluviation in a low-energy suspended sediment fluvial system with abundant fine-grained overbank deposits, indicating a local channel system rather than a vigorous braided river with distant headwaters. The alluvium contains exotic gravel clasts of Proterozoic basement and rare Oligocene volcanic clasts as well as Oligocene–Miocene detrital sanidine related to multiple caldera eruptions of the San Juan Mountains and elsewhere. These exotic clasts and sanidine likely came from ancient rivers draining the San Juan Mountains. However, in this paper we show that the White Mesa alluvium is early Pleistocene (ca. 2 Ma) rather than pre–early Miocene. Combined 40Ar/39Ar dating of an interbedded tuff and detrital sanidine ages show that the basal White Mesa alluvium was deposited at 1.993 ± 0.002 Ma, consistent with a detrital sanidine maximum depositional age of 2.02 ± 0.02 Ma. Geomorphic relations show that the White Mesa alluvium is older than inset gravels that are interbedded with 1.2–0.8 Ma Bishop–Glass Mountain tuff. The new ca. 2 Ma age for the White Mesa alluvium refutes the hypothesis of a large regional Miocene(?) Crooked Ridge paleoriver that predated carving of the Grand Canyon. Instead, White Mesa paleodrainage was the northernmost extension of the ancestral Little Colorado River drainage basin. This finding is important for understanding Colorado River evolution because it provides a datum for quantifying rapid post–2 Ma regional denudation of the Grand Canyon region.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01124.1","usgsCitation":"Hereford, R., Beard, S., Dickinson, W.R., Karlstrom, K.E., Heizler, M.T., Crossey, L.J., Amoroso, L., House, K., and Pecha, M., 2016, Reevaluation of the Crooked Ridge River- Early Pleistocene (ca. 2 Ma) age and origin of the White Mesa Alluvium, northeastern Arizona: Geosphere, v. 12, no. 3, p. 768-789, https://doi.org/10.1130/GES01124.1.","productDescription":"22 p.","startPage":"768","endPage":"789","ipdsId":"IP-059600","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01124.1","text":"Publisher Index Page"},{"id":341794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"12","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-07","publicationStatus":"PW","scienceBaseUri":"59293e97e4b016f7a940770c","contributors":{"authors":[{"text":"Hereford, Richard 0000-0002-0892-7367 rhereford@usgs.gov","orcid":"https://orcid.org/0000-0002-0892-7367","contributorId":3620,"corporation":false,"usgs":true,"family":"Hereford","given":"Richard","email":"rhereford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":167711,"corporation":false,"usgs":true,"family":"Beard","given":"Sue","email":"sbeard@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, William R.","contributorId":75064,"corporation":false,"usgs":true,"family":"Dickinson","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":696151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karlstrom, Karl E.","contributorId":75597,"corporation":false,"usgs":true,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":696152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heizler, Matthew T.","contributorId":184261,"corporation":false,"usgs":false,"family":"Heizler","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":696156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crossey, Laura J.","contributorId":56265,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696154,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696155,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pecha, Mark","contributorId":192303,"corporation":false,"usgs":false,"family":"Pecha","given":"Mark","email":"","affiliations":[],"preferred":false,"id":696157,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70187243,"text":"70187243 - 2016 - Mixed stock analysis of Lake Michigan's Lake Whitefish Coregonus clupeaformis commercial fishery","interactions":[],"lastModifiedDate":"2017-04-28T13:36:52","indexId":"70187243","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","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":"Mixed stock analysis of Lake Michigan's Lake Whitefish Coregonus clupeaformis commercial fishery","docAbstract":"Lake whitefish (Coregonus clupeaformis) support the primary commercial fishery in Lake Michigan. Discrete genetic stocks of lake whitefish have been identified and tagging data suggest stocks are mixed throughout much of the year. Our objectives were to determine if (1) differential stock harvest occurs in the commercial catch, (2) spatial differences in genetic composition of harvested fish were present, and (3) seasonal differences were present in the harvest by commercial fisheries that operate in management zones WI-2 and WFM-01 (Green Bay, Lake Michigan). Mixed stock analysis was conducted on 17 commercial harvest samples (n = 78–145/sample) collected from various ports lake-wide during 2009–2010. Results showed significant mixing with variability in stock composition across most samples. Samples consisted of two to four genetic stocks each accounting for ≥ 10% the catch. In 10 of 17 samples, the stock contributing the largest proportion made up < 60% of the harvest. In general, seasonal and annual differences existed in the proportional stock contribution at a single capture location. Samples from Wisconsin's primary commercial fishing management zone (WI-2) were composed predominately of fish from the Big Bay de Noc (Michigan) stock as opposed to the geographically proximate, North–Moonlight Bay (Wisconsin) stock. These findings have implications for management and allocation of fish to various quotas. Specifically, geographic location of harvest, the current means of allocating harvest quotas, is not the best predictor of genetic stock harvest.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.02.005","usgsCitation":"Andvik, R., Sloss, B.L., VanDeHey, J.A., Claramunt, R.M., Hansen, S.P., and Isermann, D.A., 2016, Mixed stock analysis of Lake Michigan's Lake Whitefish Coregonus clupeaformis commercial fishery: Journal of Great Lakes Research, v. 42, no. 3, p. 660-667, https://doi.org/10.1016/j.jglr.2016.02.005.","productDescription":"8 p.","startPage":"660","endPage":"667","ipdsId":"IP-063843","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470926,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://digital.library.wisc.edu/1793/81656","text":"External Repository"},{"id":340625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.70458984375,\n 45.79050946752472\n ],\n [\n -84.957275390625,\n 46.01222384063236\n ],\n [\n -85.4296875,\n 46.14178273759234\n ],\n [\n -86.98974609375,\n 45.94351068030587\n ],\n [\n -88.077392578125,\n 44.5826428195842\n ],\n [\n -87.725830078125,\n 44.071800467511565\n ],\n [\n -87.9345703125,\n 43.33316939281732\n ],\n [\n -87.857666015625,\n 42.97250158602597\n ],\n [\n -87.8466796875,\n 42.27730877423709\n ],\n [\n -87.56103515625,\n 41.713930073371294\n ],\n [\n -87.154541015625,\n 41.599013054830216\n ],\n [\n -86.59423828125,\n 41.97582726102573\n ],\n [\n -86.17675781249999,\n 42.633958722673135\n ],\n [\n -86.33056640625,\n 43.30119623257966\n ],\n [\n -86.19873046875,\n 44.59829048984011\n ],\n [\n -85.418701171875,\n 44.75453548416007\n ],\n [\n -84.92431640625,\n 45.390735154248894\n ],\n [\n -84.70458984375,\n 45.79050946752472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a5e4b022cee40dc242","contributors":{"authors":[{"text":"Andvik, Ryan","contributorId":191461,"corporation":false,"usgs":false,"family":"Andvik","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":693097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanDeHey, Justin A.","contributorId":50800,"corporation":false,"usgs":true,"family":"VanDeHey","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, Randall M.","contributorId":190497,"corporation":false,"usgs":false,"family":"Claramunt","given":"Randall","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Scott P.","contributorId":79837,"corporation":false,"usgs":true,"family":"Hansen","given":"Scott","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693096,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171463,"text":"70171463 - 2016 - The plant phenology monitoring design for the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2016-06-02T11:26:19","indexId":"70171463","displayToPublicDate":"2016-05-31T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The plant phenology monitoring design for the National Ecological Observatory Network","docAbstract":"Phenology is an integrative science that comprises the study of recurring biological activities or events. In an era of rapidly changing climate, the relationship between the timing of those events and environmental cues such as temperature, snowmelt, water availability or day length are of particular interest. This article provides an overview of the plant phenology sampling which will be conducted by the U.S. National Ecological Observatory Network NEON, the resulting data, and the rationale behind the design. Trained technicians will conduct regular in situ observations of plant phenology at all terrestrial NEON sites for the 30-year life of the observatory. Standardized and coordinated data across the network of sites can be used to quantify the direction and magnitude of the relationships between phenology and environmental forcings, as well as the degree to which these relationships vary among sites, among species, among phenophases, and through time. Vegetation at NEON sites will also be monitored with tower-based cameras, satellite remote sensing and annual high-resolution airborne remote sensing. Ground-based measurements can be used to calibrate and improve satellite-derived phenometrics. NEON’s phenology monitoring design is complementary to existing phenology research efforts and citizen science initiatives throughout the world and will produce interoperable data. By collocating plant phenology observations with a suite of additional meteorological, biophysical and ecological measurements (e.g., climate, carbon flux, plant productivity, population dynamics of consumers) at 47 terrestrial sites, the NEON design will enable continentalscale inference about the status, trends, causes and ecological consequences of phenological change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1303","usgsCitation":"Elmendorf, S.C., Jones, K.D., Cook, B., Diez, J.M., Enquist, C.A., Hufft, R.A., Jones, M.O., Mazer, S., Miller-Rushing, A., Moore, D.J., Schwartz, M., and Weltzin, J., 2016, The plant phenology monitoring design for the National Ecological Observatory Network: Ecosphere, v. 7, no. 4, e01303: 16 p., https://doi.org/10.1002/ecs2.1303.","productDescription":"e01303: 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052777","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470954,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1303","text":"Publisher Index Page"},{"id":321942,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-25","publicationStatus":"PW","scienceBaseUri":"574ea79ae4b0ee97d51a2be0","contributors":{"authors":[{"text":"Elmendorf, Sarah C","contributorId":169801,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","email":"","middleInitial":"C","affiliations":[{"id":25598,"text":"NEON, Staff Scientist","active":true,"usgs":false}],"preferred":false,"id":631087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Katherine D.","contributorId":169802,"corporation":false,"usgs":false,"family":"Jones","given":"Katherine","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Benjamin I.","contributorId":81237,"corporation":false,"usgs":true,"family":"Cook","given":"Benjamin I.","affiliations":[],"preferred":false,"id":631089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diez, Jeffrey M.","contributorId":169803,"corporation":false,"usgs":false,"family":"Diez","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enquist, Carolyn A.F.","contributorId":169804,"corporation":false,"usgs":false,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"A.F.","affiliations":[{"id":25599,"text":"USA-NPN","active":true,"usgs":false}],"preferred":false,"id":631091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hufft, Rebecca A.","contributorId":148014,"corporation":false,"usgs":false,"family":"Hufft","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":16973,"text":"Neptune and Company Inc.","active":true,"usgs":false}],"preferred":false,"id":631107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Matthew O.","contributorId":169805,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew","email":"","middleInitial":"O.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mazer, Susan J.","contributorId":96564,"corporation":false,"usgs":true,"family":"Mazer","given":"Susan J.","affiliations":[],"preferred":false,"id":631094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller-Rushing, Abraham J.","contributorId":103561,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham J.","affiliations":[],"preferred":false,"id":631095,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, David J. P.","contributorId":169810,"corporation":false,"usgs":false,"family":"Moore","given":"David","email":"","middleInitial":"J. P.","affiliations":[],"preferred":false,"id":631096,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":631097,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weltzin, Jake F. 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":149648,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":631086,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70173895,"text":"70173895 - 2016 - Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective","interactions":[],"lastModifiedDate":"2016-10-24T09:10:47","indexId":"70173895","displayToPublicDate":"2016-05-31T00:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective","docAbstract":"Somatic growth dynamics are an integrated response to environmental conditions. Hawksbill sea turtles (Eretmochelys imbricata) are long-lived, major consumers in coral reef habitats that move over broad geographic areas (hundreds to thousands of kilometers). We evaluated spatio-temporal effects on hawksbill growth dynamics over a 33-yr period and 24 study sites throughout the West Atlantic and explored relationships between growth dynamics and climate indices. We compiled the largest ever data set on somatic growth rates for hawksbills – 3541 growth increments from 1980 to 2013. Using generalized additive mixed model analyses, we evaluated 10 covariates, including spatial and temporal variation, that could affect growth rates. Growth rates throughout the region responded similarly over space and time. The lack of a spatial effect or spatio-temporal interaction and the very strong temporal effect reveal that growth rates in West Atlantic hawksbills are likely driven by region-wide forces. Between 1997 and 2013, mean growth rates declined significantly and steadily by 18%. Regional climate indices have significant relationships with annual growth rates with 0- or 1-yr lags: positive with the Multivariate El Niño Southern Oscillation Index (correlation = 0.99) and negative with Caribbean sea surface temperature (correlation = −0.85). Declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs. Main conclusions The decadal declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on the foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, the trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, New Jersey","doi":"10.1002/ecs2.1279","usgsCitation":"Bjorndal, K.A., Chaloupka, M., Saba, V.S., Diez, C.E., van Dam, R.P., Krueger, B.H., Horrocks, J.A., Santos, A.J., Bellini, C., Marcovaldi, M.A., Nava, M., Willis, S., Godley, B.J., Gore, S., Hawkes, L.A., McGowan, A., Witt, M.J., Stringell, T.B., Sanghera, A., Richardson, P.B., Broderick, A.C., Phillips, Q., Calosso, M.C., Claydon, J.A., Blumenthal, J., Moncada, F., Nodarse, G., Medina, Y., Dunbar, S.G., Wood, L.D., Lagueux, C.J., Campbell, C.L., Meylan, A.B., Meylan, P.A., Burns Perez, V.R., Coleman, R.A., Strindberg, S., Guzman-H, V., Hart, K.M., Cherkiss, M.S., Hillis-Starr, Z., Lundgren, I., Boulon, R., Connett, S., Outerbridge, M.E., and Bolten, A.B., 2016, Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective: Ecosphere, v. 7, no. 5, 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Natural abundance ratios of stable isotopes of nitrogen (δ15N) measured in plant tissue growing in nearshore areas of the lake indicate that the major source of nitrogen used by these primary producing plants is derived mainly from atmospherically fixed nitrogen in an undeveloped forested ecosystem. Exceptions to this pattern occurred in the Barnes Point area where elevated δ15N ratios indicate that effluent from septic systems also contribute nitrogen to filamentous-periphytic algae growing in the littoral zone of that area. Near the Lyre River outlet of Lake Crescent, the δ15N of filamentous-periphytic algae growing in close proximity to the spawning areas of a unique species of trout show little evidence of elevated δ15N indicating that nitrogen from on-site septic systems is not a substantial source of nitrogen for these plants. The δ15N data corroborate estimates that nitrogen input to Lake Crescent from septic sources is comparatively small relative to input from motor vehicle exhaust and vegetative sources in undeveloped forests, including litterfall, pollen, and symbiotic nitrogen fixation. The seasonal timing of blooms of filamentous-periphytic algal near the lake shoreline is also consistent with nitrogen exported from stands of red alder trees (Alnus rubra). Isotope biomonitoring of filamentous-periphytic algae may be an effective approach to monitoring the littoral zone for nutrient input to Lake Crescent from septic sources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165054","collaboration":"Prepared in cooperation with the National Park Service, Olympic National Park","usgsCitation":"Cox, S.E., Moran, P.W., Huffman, R.L., and Fradkin, S.C., 2016, Monitoring plant tissue nitrogen isotopes to assess nearshore inputs of nitrogen to Lake Crescent, Olympic National Park, Washington: U.S. Geological Survey Scientific Investigations Report 2016–5054, 20 p., https://dx.doi.org/10.3133/sir20165054.","productDescription":"iv, 20p.","startPage":"1","endPage":"20","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063700","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":321938,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5054/coverthb.jpg"},{"id":321939,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5054/sir20165054.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5054"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.25811767578125,\n 48.13859959165873\n ],\n [\n -123.837890625,\n 48.125767833701666\n ],\n [\n -123.629150390625,\n 48.090922612296744\n ],\n [\n -123.27484130859375,\n 48.01381248943335\n ],\n [\n -122.95623779296874,\n 48.00094957553023\n ],\n [\n -122.92053222656249,\n 47.99359789867388\n ],\n [\n -122.904052734375,\n 47.81684332352077\n ],\n [\n -122.85736083984375,\n 47.77994347064129\n ],\n [\n -122.87109375,\n 47.67833372712059\n ],\n [\n -123.19244384765625,\n 47.45780853075031\n ],\n [\n -123.28582763671875,\n 47.27922900257082\n ],\n [\n -123.958740234375,\n 47.331377157798244\n ],\n [\n -123.89282226562501,\n 47.431803338643334\n ],\n [\n -123.94775390625,\n 47.47637579720936\n ],\n [\n -124.06311035156249,\n 47.4828727909934\n ],\n [\n -124.1015625,\n 47.544090665058015\n ],\n [\n -124.08782958984375,\n 47.58023129789275\n ],\n [\n -124.06723022460938,\n 47.61727271567975\n ],\n [\n -124.14276123046876,\n 47.622826666563675\n ],\n [\n -124.18258666992188,\n 47.69497434186282\n ],\n [\n -124.17297363281251,\n 47.77625204393236\n ],\n [\n -124.2059326171875,\n 47.824220149350246\n ],\n [\n -124.3487548828125,\n 47.908978314728685\n ],\n [\n -124.35974121093749,\n 47.98256841921402\n ],\n [\n -124.3487548828125,\n 48.06706753191901\n ],\n [\n -124.25811767578125,\n 48.13859959165873\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
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934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
PREMISE OF THE STUDY: The distribution of Yucca brevifolia, a keystone species of the Mojave Desert, may contract with climate change, yet reproduction and dispersal are poorly understood. We tracked reproduction, seed predation, and fruit dispersal for two years and discuss whether Y. brevifolia is a masting species.
\nMETHODS: Fruit maturation, seed predation (larval yucca moths), and fruit dispersal (rodents) were monitored on a random sample of panicles during 2013 and 2014, which were years of high and low reproduction, respectively. Fates of fruits placed on the ground and in canopies were also tracked. Rodents were live-trapped to assess abundance and species composition.
\nKEY RESULTS: In 2013, 66% of inflorescences produced fruit of which 53% escaped larval predation; 19.5% of seeds were destroyed in infested fruits. Total seed production was estimated to be >100 times greater in 2013 than 2014. One-third of the fruit crop fell to the ground and was removed by rodents over the course of 120 d. After ground fruits became scarce, rodents exploited canopy fruits. Rodent numbers were low in 2013, so fruits remained in canopies for 370 d. In 2014, fruit production was approximately 20% lower. Larvae infested the majority of fruits, and almost twice the number of seeds were damaged. Fruits were exploited by rodents within 65 d.
\nCONCLUSIONS: High fertilization, prolific seed production, and low predispersal predation in 2013 suggests that pollinator attraction and satiation of seed predators influence masting in Y. brevifolia. Abundant, prolonged fruit availability to seed-dispersing rodents likely extends recruitment opportunities during mast years.
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survival related to energy reserves. Blood plasma samples were analyzed for metrics related to nutritional and osmotic status, and samples of white muscle tissue collected from recent mortalities at weirs were analyzed for proximate constituents. Female kelts from the Situk River had significantly higher plasma cholesterol, triglycerides, glucose and calcium concentrations, all of which suggested higher lipid and energy stores. Additional support for energy limitation in kelts was provided by evaluating the presence of detectable proteins in the plasma. Most all kelts sampled from the Situk River populations had detectable plasma proteins, in contrast to kelts sampled from the Clearwater River tributary populations where 27 % of kelts from one tributary, and 68 % of the second tributary were below the limits of detection. We found proximate constituents of kelt mortalities were similar between the Situk and Clearwater River populations, and the lipid fraction of white muscle averaged 0.1 and 0.2 %. Our findings lend support to the hypothesis that energetic limitations likely affect post-spawn survival in the Clearwater River kelts.
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avian species","interactions":[],"lastModifiedDate":"2017-01-05T16:16:10","indexId":"70177918","displayToPublicDate":"2016-05-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Immunoglobulin detection in wild birds: Effectiveness of three secondary anti-avian IgY antibodies in direct ELISAs in 41 avian species","docAbstract":"1.Immunological reagents for wild, non-model species are limited or often non-existent for many species.
\n2. In this study, we compare the reactivity of a new anti-passerine IgY secondary antibody with existing secondary antibodies developed for use with birds. Samples from 41 species from the following six avian orders were analysed: Anseriformes (1 family, 1 species), Columbiformes (1 family, 2 species), Galliformes (1 family, 1 species), Passeriformes (16 families, 34 species), Piciformes (1 family, 2 species) and Suliformes (1 family, 1 species). Direct ELISAs were performed to detect total IgY using goat anti-passerine IgY, goat anti-chicken IgY or goat anti-bird IgY secondary antibodies.
\n3.The anti-passerine antibody exhibited significantly higher IgY reactivity compared to the anti-chicken and/or anti-bird antibodies in 80% of the passerine families tested. Birds in the order Piciformes (woodpeckers) and order Suliformes (cormorants) were poorly detected by all three secondary antibodies. A comparison of serum and plasma IgY levels was made within the same individuals for two passerine species (house finch and white-crowned sparrow), and serum exhibited significantly more IgY than the plasma for all three secondary antibodies. This result indicates that serum may be preferred to plasma when measuring total antibody levels in blood.
\n4.This study indicates that the anti-passerine IgY secondary antibody can effectively be used in immunological assays to detect passerine IgY for species in most passerine families and is preferred over anti-chicken and anti-bird secondary antibodies for the majority of passerine species. This anti-passerine antibody will allow for more accurate detection and quantification of IgY in more wild bird species than was possible with previously available secondary antibodies.
","language":"English","publisher":"John Wiley","doi":"10.1111/2041-210X.12583","usgsCitation":"Fassbinder-Orth, C.A., Wilcoxen, T.E., Tran, T., Boughton, R.K., Fair, J.M., Hofmeister, E.K., Grindstaff, J.L., and Owen, J.C., 2016, Immunoglobulin detection in wild birds: Effectiveness of three secondary anti-avian IgY antibodies in direct ELISAs in 41 avian species: Methods in Ecology and Evolution, v. 7, no. 10, p. 1174-1181, https://doi.org/10.1111/2041-210X.12583.","productDescription":"8 p.","startPage":"1174","endPage":"1181","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074662","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470958,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5084450","text":"Publisher Index Page"},{"id":330424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-28","publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a6d","contributors":{"authors":[{"text":"Fassbinder-Orth, Carol A.","contributorId":176331,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcoxen, Travis E.","contributorId":176332,"corporation":false,"usgs":false,"family":"Wilcoxen","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tran, Tiffany","contributorId":176333,"corporation":false,"usgs":false,"family":"Tran","given":"Tiffany","email":"","affiliations":[],"preferred":false,"id":652231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boughton, Raoul K.","contributorId":176334,"corporation":false,"usgs":false,"family":"Boughton","given":"Raoul","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":652232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jeanne M.","contributorId":176335,"corporation":false,"usgs":false,"family":"Fair","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":652228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grindstaff, Jennifer L.","contributorId":176336,"corporation":false,"usgs":false,"family":"Grindstaff","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":652234,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Owen, Jen C.","contributorId":176337,"corporation":false,"usgs":false,"family":"Owen","given":"Jen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":652235,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}