{"pageNumber":"1044","pageRowStart":"26075","pageSize":"25","recordCount":165485,"records":[{"id":70175490,"text":"70175490 - 2016 - Environmental change makes robust ecological networks fragile","interactions":[],"lastModifiedDate":"2016-08-15T13:36:50","indexId":"70175490","displayToPublicDate":"2016-08-15T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Environmental change makes robust ecological networks fragile","docAbstract":"<p><span>Complex ecological networks appear robust to primary extinctions, possibly due to consumers&rsquo; tendency to specialize on dependable (available and persistent) resources. However, modifications to the conditions under which the network has evolved might alter resource dependability. Here, we ask whether adaptation to historical conditions can increase community robustness, and whether such robustness can protect communities from collapse when conditions change. Using artificial life simulations, we first evolved digital consumer-resource networks that we subsequently subjected to rapid environmental change. We then investigated how empirical host&ndash;parasite networks would respond to historical, random and expected extinction sequences. In both the cases, networks were far more robust to historical conditions than new ones, suggesting that new environmental challenges, as expected under global change, might collapse otherwise robust natural ecosystems.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/ncomms12462","collaboration":"European Commission Joint Research Centre","usgsCitation":"Strona, G., and Lafferty, K.D., 2016, Environmental change makes robust ecological networks fragile: Nature Communications, v. 7, Article 12462; 7 p., https://doi.org/10.1038/ncomms12462.","productDescription":"Article 12462; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075912","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms12462","text":"Publisher Index Page"},{"id":326482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57b2d9a6e4b03bcb010287ba","contributors":{"authors":[{"text":"Strona, Giovanni","contributorId":62940,"corporation":false,"usgs":true,"family":"Strona","given":"Giovanni","email":"","affiliations":[],"preferred":false,"id":645454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":645453,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175489,"text":"70175489 - 2016 - Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height","interactions":[],"lastModifiedDate":"2016-08-15T13:40:20","indexId":"70175489","displayToPublicDate":"2016-08-15T14:30:00","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":"Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height","docAbstract":"<p><span>In forests, total belowground carbon (C) flux (TBCF) is a large component of the C budget and represents a critical pathway for delivery of plant C to soil. Reducing uncertainty around regional estimates of forest C cycling may be aided by incorporating knowledge of controls over soil respiration and TBCF. Photosynthesis, and presumably TBCF, declines with advancing tree size and age, and photosynthesis increases yet C partitioning to TBCF decreases in response to high soil fertility. We hypothesized that these causal relationships would result in predictable patterns of TBCF, and partitioning of C to TBCF, with natural variability in leaf area index (LAI), soil nitrogen (N), and tree height in subalpine forests in the Rocky Mountains, USA. Using three consecutive years of soil respiration data collected from 22 0.38-ha locations across three 1-km</span><span>2</span><span>&nbsp;subalpine forested landscapes, we tested three hypotheses: (1) annual soil respiration and TBCF will show a hump-shaped relationship with LAI; (2) variability in TBCF unexplained by LAI will be related to soil nitrogen (N); and (3) partitioning of C to TBCF (relative to woody growth) will decline with increasing soil N and tree height. We found partial support for Hypothesis 1 and full support for Hypotheses 2 and 3. TBCF, but not soil respiration, was explained by LAI and soil N patterns (</span><i>r</i><span>2</span><span>&nbsp;=&nbsp;0.49), and the ratio of annual TBCF to TBCF plus aboveground net primary productivity (ANPP) was related to soil N and tree height (</span><i>r</i><span>2</span><span>&nbsp;=&nbsp;0.72). Thus, forest C partitioning to TBCF can vary even within the same forest type and region, and approaches that assume a constant fraction of TBCF relative to ANPP may be missing some of this variability. These relationships can aid with estimates of forest soil respiration and TBCF across landscapes, using spatially explicit forest data such as national inventories or remotely sensed data products.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1418","usgsCitation":"Berryman, E.M., Ryan, M., Bradford, J.B., Hawbaker, T., and Birdsey, R., 2016, Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height: Ecosphere, v. 7, no. 8, e01418; 16 p., https://doi.org/10.1002/ecs2.1418.","productDescription":"e01418; 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069872","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1418","text":"Publisher Index Page"},{"id":326484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b2d9a8e4b03bcb010287c2","contributors":{"authors":[{"text":"Berryman, Erin Michele 0000-0001-8699-2474 eberryman@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-2474","contributorId":5765,"corporation":false,"usgs":true,"family":"Berryman","given":"Erin","email":"eberryman@usgs.gov","middleInitial":"Michele","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Michael G.","contributorId":101580,"corporation":false,"usgs":true,"family":"Ryan","given":"Michael G.","affiliations":[],"preferred":false,"id":645450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":645449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdsey, R.","contributorId":14670,"corporation":false,"usgs":true,"family":"Birdsey","given":"R.","email":"","affiliations":[],"preferred":false,"id":645451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175484,"text":"70175484 - 2016 - Short-period volcanic gas precursors to phreatic eruptions: Insights from Poás Volcano, Costa Rica","interactions":[],"lastModifiedDate":"2016-08-15T09:27:05","indexId":"70175484","displayToPublicDate":"2016-08-15T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Short-period volcanic gas precursors to phreatic eruptions: Insights from Poás Volcano, Costa Rica","docAbstract":"<p><span>Volcanic eruptions involving interaction with water are amongst the most violent and unpredictable geologic phenomena on Earth. Phreatic eruptions are exceptionally difficult to forecast by traditional geophysical techniques. Here we report on short-term precursory variations in gas emissions related to phreatic blasts at Po&aacute;s volcano, Costa Rica, as measured with an in situ multiple gas analyzer that was deployed at the edge of the erupting lake. Gas emitted from this hyper-acid crater lake approaches magmatic values of SO</span><sub>2</sub><span>/CO</span><sub>2</sub><span>&nbsp;1&ndash;6 days prior to eruption. The SO</span><sub>2</sub><span>&nbsp;flux derived from magmatic degassing through the lake is measureable by differential optical absorption spectrometry (sporadic campaign measurements), which allows us to constrain lake gas output and input for the major gas species during eruptive and non-eruptive periods. We can further calculate power supply to the hydrothermal system using volatile mass balance and thermodynamics, which indicates that the magmatic heat flux into the shallow hydrothermal system increases from &sim;27 MW during quiescence to &sim;59 MW during periods of phreatic events. These transient pulses of gas and heat from the deeper magmatic system generate both phreatic eruptions and the observed short-term changes in gas composition, because at high gas flux scrubbing of sulfur by the hydrothermal system is both kinetically and thermodynamically inhibited whereas CO</span><sub>2</sub><span>gas is always essentially inert in hyperacid conditions. Thus, the SO</span><sub>2</sub><span>/CO</span><sub>2</sub><span>&nbsp;of lake emissions approaches magmatic values as gas and power supply to the sub-limnic hydrothermal system increase, vaporizing fluids and priming the hydrothermal system for eruption. Our results suggest that high-frequency real-time gas monitoring could provide useful short-term eruptive precursors at volcanoes prone to phreatic explosions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2016.02.056","usgsCitation":"de Moor, M., Aiuppa, A., Pacheco, J., Avard, G., Kern, C., Liuzzo, M., Martinez, M., Giudice, G., and Fischer, T.P., 2016, Short-period volcanic gas precursors to phreatic eruptions: Insights from Poás Volcano, Costa Rica: Earth and Planetary Science Letters, v. 442, p. 218-227, https://doi.org/10.1016/j.epsl.2016.02.056.","productDescription":"10 p.","startPage":"218","endPage":"227","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064403","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2016.02.056","text":"Publisher Index Page"},{"id":326475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","otherGeospatial":"Poás Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.24659729003906,\n              10.245836915434852\n            ],\n            [\n              -84.24659729003906,\n              10.28130896828769\n            ],\n            [\n              -84.2072868347168,\n              10.28130896828769\n            ],\n            [\n              -84.2072868347168,\n              10.245836915434852\n            ],\n            [\n              -84.24659729003906,\n              10.245836915434852\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"442","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b2d9a8e4b03bcb010287c0","contributors":{"authors":[{"text":"de Moor, Maarten","contributorId":173676,"corporation":false,"usgs":false,"family":"de Moor","given":"Maarten","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiuppa, Alessandro","contributorId":173677,"corporation":false,"usgs":false,"family":"Aiuppa","given":"Alessandro","affiliations":[{"id":27272,"text":"Dipartimento DiSTeM, Università di Palermo, Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":645421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pacheco, Javier","contributorId":173678,"corporation":false,"usgs":false,"family":"Pacheco","given":"Javier","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Avard, Geoffroy","contributorId":173679,"corporation":false,"usgs":false,"family":"Avard","given":"Geoffroy","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":645419,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liuzzo, Marco","contributorId":173680,"corporation":false,"usgs":false,"family":"Liuzzo","given":"Marco","email":"","affiliations":[{"id":27273,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":645424,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez, Maria","contributorId":173681,"corporation":false,"usgs":false,"family":"Martinez","given":"Maria","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Giudice, Gaetano","contributorId":173682,"corporation":false,"usgs":false,"family":"Giudice","given":"Gaetano","email":"","affiliations":[{"id":27273,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":645426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Tobias P.","contributorId":12754,"corporation":false,"usgs":true,"family":"Fischer","given":"Tobias","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":645427,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70176234,"text":"70176234 - 2016 - The sensitivity of WRF downscaled precipitation in Puerto Rico to cumulus parameterization and interior grid nudging","interactions":[],"lastModifiedDate":"2016-10-21T13:21:01","indexId":"70176234","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"The sensitivity of WRF downscaled precipitation in Puerto Rico to cumulus parameterization and interior grid nudging","docAbstract":"The sensitivity of the Weather Research and Forecasting Model (WRF) simulated precipitation\nover Puerto Rico is evaluated using multiple combinations of cumulus parameterization (CP)\nschemes and interior grid nudging. NCEP-DOE AMIP-II reanalysis (R-2) is downscaled to 2-\n km horizontal grid spacing with both convective permitting simulations (CP active only in the 49 middle and outer domains) and CP schemes active in all domains. The results generally show\nlower simulated precipitation amounts compared to the observations, regardless of WRF\nconfiguration. However, activating the CP schemes in the inner domain improves the annual cycle, intensity, and placement of rainfall compared to the convective permitting simulations.\nFurthermore, the use of interior grid nudging techniques in the outer domains improves the\nplacement and intensity of rainfall in the inner domain. Incorporating a CP scheme at convective\npermitting scales (< 4 km) and grid nudging at non-convective permitting scales (> 4 km)\nimproves the island average correlation of precipitation by 0.05 to 0.2 and reduces the island\naverage RMSE by up to 40 mm on average over relying on the explicit microphysics at\nconvective permitting scales with grid nudging. Projected changes in summer precipitation between 2040-2042 and 1985-1987 using WRF to downscale CCSM4 ranges from a 2.6 mm\naverage increase to 81.9 mm average decrease, depending on the choice of CP scheme. The differences are only associated with differences between WRF configurations, which indicates\nthe importance of CP scheme for projected precipitation change as well as historical accuracy.","language":"English","publisher":"American Meteorology Society","doi":"10.1175/JAMC-D-16-0121.1","usgsCitation":"Wootten, A., Bowden, J., Boyles, R., and Terando, A.J., 2016, The sensitivity of WRF downscaled precipitation in Puerto Rico to cumulus parameterization and interior grid nudging: Journal of Applied Meteorology and Climatology, v. 55, p. 2263-2281, https://doi.org/10.1175/JAMC-D-16-0121.1.","productDescription":"19 p.","startPage":"2263","endPage":"2281","ipdsId":"IP-076983","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":470662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jamc-d-16-0121.1","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":647986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":647983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175749,"text":"70175749 - 2016 - Development of targeted delivery techniques for Zequanox®","interactions":[],"lastModifiedDate":"2016-08-31T10:46:47","indexId":"70175749","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Development of targeted delivery techniques for Zequanox®","docAbstract":"The effects of water temperature and concentration on the physical characteristics of Zequanox®, a dead-cell spray-dried powder formulation of Pseudomonas fluorescens (strain CL145A) used for controlling invasive dreissenid mussels (zebra mussel, Dreissena polymorpha, and quagga mussel, Dreissena bugensis), were investigated to determine optimal temperature-specific concentrations and delivery techniques for use during open-water subsurface Zequanox applications. Temperature-controlled laboratory tests evaluated viscosity, settling, stratification, and buoyancy of various concentrations of Zequanox suspension in water to select an optimal target viscosity for Zequanox applications. A two-step linear regression procedure was used to create a temperature-specific Zequanox prediction model from the viscosity data. The prediction model and subsurface application techniques were validated by conducting three independent outdoor pond trials at temperatures of ~9, 14, and 20°C. During these outdoor trials, subsurface applications of Zequanox at concentrations predicted by the model were performed and water samples were collected at varying depths and analyzed via spectroscopy to determine Zequanox concentration and dispersion. Although the predicted Zequanox concentrations and delivery techniques used resulted in successfully maintaining lethal Zequanox concentrations in the bottom 7.5 cm of the water column for the duration of the exposure, a revised prediction model is also provided for more accurately selecting temperature-specific Zequanox concentrations.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Severson, T.J., and Luoma, J.A., 2016, Development of targeted delivery techniques for Zequanox®, 14 p.","productDescription":"14 p.","ipdsId":"IP-077367","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":328102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326870,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013-index.html#201306f"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb0e4b0f2f0cebfc231","contributors":{"authors":[{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646303,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175750,"text":"70175750 - 2016 - Efficacy of spray –Dried Pseudomonas fluorescens, strain CL145A (Zequanox®), for controlling Zebra Mussels (<i>Dreissena polymorpha</i>) within Lake Minnetonka, MN enclosures","interactions":[],"lastModifiedDate":"2016-08-31T10:46:06","indexId":"70175750","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Efficacy of spray –Dried Pseudomonas fluorescens, strain CL145A (Zequanox®), for controlling Zebra Mussels (<i>Dreissena polymorpha</i>) within Lake Minnetonka, MN enclosures","docAbstract":"The efficacy of whole water column and subsurface applications of the biopesticide Zequanox®, a commercially prepared spray-dried powder formulation of Pseudomonas fluorescens (strain CL145A), were evaluated for controlling zebra mussels (Dreissena polymorpha) within 27-m2 enclosures in Lake Minnetonka (Deephaven, Minnesota). Five treatments consisting of (1) two whole water column Zequanox applications, (2) two subsurface Zequanox applications, and (3) an untreated control were completed on each of three independent treatment days during September 2014. The two types of samplers used in the study were (1) type 1 samplers, which were custom built multi-plate samplers (wood, perforated aluminum, and tile substrates) that were placed into Robinson’s Bay in June of 2013 to allow for natural colonization by zebra mussels, and (2) type 2 samplers, which consisted of zebra mussels adhering to perforated aluminum trays that were placed into mesh containment bags. One day prior to treatment, three individual samplers of each type were distributed to test enclosures and exposed to a randomly assigned treatment. Sampling to determine the zebra mussel biomass adhering to type 1 samplers and the survival assessments for zebra mussels contained in type 2 samplers were completed ~40 days after exposure. The zebra mussel biomass adhering to type 1 samplers and the survival of zebra mussels contained in type 2 samplers were significantly less in groups treated with the highest Zequanox concentrations and in groups that received whole water column applications than comparable groups treated with lower Zequanox concentrations and subsurface applications. However, standardization of biomass and survival results to the amount of Zequanox applied showed that the lower concentrations and subsurface applications were more cost efficient, with respect to product used, at reducing zebra mussel biomass and for inducing zebra mussel mortality. Although the subsurface application methods and lower treatment concentrations were more cost efficient, biological significance and management goals should be evaluated prior to selecting the application method. Development and refinement of additional application techniques may improve the utility of the subsurface Zequanox applications.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Luoma, J.A., and Severson, T.J., 2016, Efficacy of spray –Dried Pseudomonas fluorescens, strain CL145A (Zequanox®), for controlling Zebra Mussels (<i>Dreissena polymorpha</i>) within Lake Minnetonka, MN enclosures, 20 p.","productDescription":"20 p.","ipdsId":"IP-077598","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":328101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326871,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013-index.html#201306f"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb2e4b0f2f0cebfc256","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646305,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175101,"text":"sir20165109 - 2016 - Network global navigation satellite system survey to harmonize water-surface elevation data for the Rainy River Basin","interactions":[],"lastModifiedDate":"2016-08-15T13:49:05","indexId":"sir20165109","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5109","title":"Network global navigation satellite system survey to harmonize water-surface elevation data for the Rainy River Basin","docAbstract":"<p>Continuously recording water-level streamgages in Rainy Lake and Namakan Reservoir are used to regulate water levels according to rule curves established in 2000 by the International Joint Commission; however, water levels at streamgages were referenced to a variety of vertical datums, confounding efforts to model the flow of water through the system, regulate water levels during periods of high inflow, and evaluate the effectiveness of the rule curves. In October 2014, the U.S. Geological Survey, Natural Resources Canada, International Joint Commission, and National Park Service began a joint field study with the goal of obtaining precise elevations referenced to a uniform vertical datum for all reference marks used to set water levels at streamgages throughout Rainy Lake and Namakan Reservoir. This report was prepared by the U.S. Geological Survey in cooperation with Natural Resources Canada, International Joint Commission, and National Park Service.</p><p>Three field crews deployed Global Navigation Satellite System receivers statically over 16 reference marks colocated with active and discontinued water-level streamgages throughout Rainy River, Rainy Lake, Namakan Reservoir, and select tributaries of Rainy Lake and Namakan Reservoir. A Global Navigation Satellite System receiver also was deployed statically over a National Geodetic Survey cooperative base network control station for use as a quality-control reference mark. Satellite data were collected simultaneously during a 5-day period and processed independently by the U.S. Geological Survey and Natural Resources Canada to obtain accurate positioning and elevations for the 17 surveyed reference marks. Processed satellite data were used to convert published water levels to elevations above sea level referenced to the Canadian Geodetic Vertical Datum of 2013 in order to compare water-surface elevations referenced to a uniform vertical datum throughout the study area. In this report, an “offset” refers to the correction applied to published data from a particular streamgage to produce elevation data referenced to a specified vertical datum.</p><p>Offsets were applied to water-level data from surveyed streamgages to further evaluate the accuracy and utility of updated reference mark elevations presented in this report. Daily mean water levels from active streamgages surveyed in this study were converted to water-surface elevations referenced to the Canadian Geodetic Vertical Datum of 2013. Graphical comparisons of water-surface elevations for streamgages in Namakan Reservoir, Rainy Lake, and selected rivers are presented (referencing the Canadian Geodetic Vertical Datum of 2013). Offsets presented in this report can be used in the evaluation of rule curves and in flood damage curves that fully assess the benefits of one regulation approach over another. In addition, offsets may be used to calibrate hydraulic models developed for four narrows that connect lakes of Namakan Reservoir, refine digital elevation models, and support modeling studies designed to assess the effects of rule curves on aquatic vegetation, benthic invertebrates, northern pike, and walleye.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165109","collaboration":"Prepared in cooperation with Natural Resources Canada, the International Joint Commission, and the National Park Service","usgsCitation":"Ziegeweid, J.R., Silliker, R.J., Densmore, B.K., and Krahulik, Justin, 2016, Network Global Navigation Satellite System survey to harmonize water-surface elevation data for the Rainy River Basin: U.S. Geological Survey Scientific Investigations Report 2016–5109, 20 p., https://dx.doi.org/10.3133/sir20165109.","productDescription":"Report: vi, 20 p.; Appendixes 1-3","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075640","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":326427,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109_appendix2","text":"Appendix 2","size":"154 MB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016–5109 Appendix 2"},{"id":326426,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109_appendix1.xlsx","text":"Appendix 1","size":"269 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5109 Appendix 1"},{"id":326425,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109.pdf","text":"Report","size":"1.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5109"},{"id":326424,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5109/coverthb.jpg"},{"id":326428,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109_appendix3.xlsx","text":"Appendix 3","size":"22 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5109 Appendix 3"}],"country":"Canada, United States","state":"Minnesota, Ontario","otherGeospatial":"Rainy River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.63372802734375,\n              48.17158081783164\n            ],\n            [\n              -93.63372802734375,\n              48.90444878143716\n            ],\n            [\n              -92.20001220703125,\n              48.90444878143716\n            ],\n            [\n              -92.20001220703125,\n              48.17158081783164\n            ],\n            [\n              -93.63372802734375,\n              48.17158081783164\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.82025146484375,\n              48.40732607972984\n            ],\n            [\n              -94.82025146484375,\n              49.0306652257167\n            ],\n            [\n              -93.89190673828125,\n              49.0306652257167\n            ],\n            [\n              -93.89190673828125,\n              48.40732607972984\n            ],\n            [\n              -94.82025146484375,\n              48.40732607972984\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Minnesota Water Science Center<br />U.S. Geological Survey<br />2280 Woodale Drive<br />Mounds View, Minnesota 55112</p>\n<p><a href=\"http://mn.water.usgs.gov/\">http://mn.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Global Navigation Satellite System Surveys</li>\n<li>Survey Comparisons</li>\n<li>Limitations of the Study</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendixes 1&ndash;3</li>\n</ul>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-15","noUsgsAuthors":false,"publicationDate":"2016-08-15","publicationStatus":"PW","scienceBaseUri":"57b2d9a7e4b03bcb010287be","contributors":{"authors":[{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silliker, R. Jason","contributorId":173254,"corporation":false,"usgs":false,"family":"Silliker","given":"R.","email":"","middleInitial":"Jason","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":643921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krahulik, Justin 0000-0003-0917-9468 jkrahuli@usgs.gov","orcid":"https://orcid.org/0000-0003-0917-9468","contributorId":139523,"corporation":false,"usgs":true,"family":"Krahulik","given":"Justin","email":"jkrahuli@usgs.gov","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175854,"text":"70175854 - 2016 - Environmental DNA mapping of Zebra Mussel populations","interactions":[],"lastModifiedDate":"2016-08-31T10:41:54","indexId":"70175854","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Environmental DNA mapping of Zebra Mussel populations","docAbstract":"Environmental DNA (eDNA) has become a popular tool for detecting aquatic invasive species, but advancements have made it possible to potentially answer other questions like reproduction, movement, and abundance of the targeted organism. In this study we developed a Zebra Mussel (Dreissena polymorpha) eDNA protocol. We then determined if this assay could be used to help determine Zebra Mussel biomass in a lake with a well-established population of Zebra Mussels and a lake with an emerging population of mussels. Our eDNA assay detected DNA of Zebra Mussels but not DNA from more than 20 other species of fish and mussels, many commonly found in Minnesota waters. Our assay did not predict biomass. We did find that DNA from Zebra Mussels accumulated in softer substrates in both lakes, even though the mussels were predominately on the harder substrates. Therefore, we concluded that eDNA may be useful to detect the presence of Zebra Mussels in these lakes but our assay/approach could not predict biomass.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Amberg, J., and Merkes, C.M., 2016, Environmental DNA mapping of Zebra Mussel populations, 10 p.","productDescription":"10 p.","ipdsId":"IP-077822","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":328100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":327039,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013-index.html#201306f"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb3e4b0f2f0cebfc25c","contributors":{"authors":[{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175479,"text":"70175479 - 2016 - Geomorphological control on variably saturated hillslope hydrology and slope instability","interactions":[],"lastModifiedDate":"2018-03-08T15:54:10","indexId":"70175479","displayToPublicDate":"2016-08-12T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological control on variably saturated hillslope hydrology and slope instability","docAbstract":"<p><span>In steep topography, the processes governing variably saturated subsurface hydrologic response and the interparticle stresses leading to shallow landslide initiation are physically linked. However, these processes are usually analyzed separately. Here, we take a combined approach, simultaneously analyzing the influence of topography on both hillslope hydrology and the effective stress fields within the hillslope itself. Clearly, runoff and saturated groundwater flow are dominated by gravity and, ultimately, by topography. Less clear is how landscape morphology influences flows in the vadose zone, where transient fluxes are usually taken to be vertical. We aim to assess and quantify the impact of topography on both saturated and unsaturated hillslope hydrology and its effects on shallow slope stability. Three real hillslope morphologies (concave, convex, and planar) are analyzed using a 3-D, physically based, distributed model coupled with a module for computation of the probability of failure, based on the infinite slope assumption. The results of the analyses, which included parameter uncertainty analysis of the results themselves, show that convex and planar slopes are more stable than concave slopes. Specifically, under the same initial, boundary, and infiltration conditions, the percentage of unstable areas ranges from 1.3% for the planar hillslope, 21% for convex, to a maximum value of 33% for the concave morphology. The results are supported by a sensitivity analysis carried out to examine the effect of initial conditions and rainfall intensity.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR017626","usgsCitation":"Giuseppe, F., Simoni, S., Godt, J.W., Lu, N., and Rigon, R., 2016, Geomorphological control on variably saturated hillslope hydrology and slope instability: Water Resources Research, v. 52, no. 6, p. 4590-4607, https://doi.org/10.1002/2015WR017626.","productDescription":"18 p.","startPage":"4590","endPage":"4607","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070797","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":326470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-18","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd3e","contributors":{"authors":[{"text":"Giuseppe, Formetta","contributorId":173665,"corporation":false,"usgs":false,"family":"Giuseppe","given":"Formetta","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":645393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simoni, Silvia","contributorId":173666,"corporation":false,"usgs":false,"family":"Simoni","given":"Silvia","email":"","affiliations":[{"id":27269,"text":"Mountain-eering Srl, Bolzano, Italy","active":true,"usgs":false}],"preferred":false,"id":645394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":645392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":645395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigon, Riccardo","contributorId":152464,"corporation":false,"usgs":false,"family":"Rigon","given":"Riccardo","email":"","affiliations":[{"id":18929,"text":"Unversita di Trento","active":true,"usgs":false}],"preferred":false,"id":645396,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211940,"text":"70211940 - 2016 - Keeping things local: Subpopulation Nb and Ne in a stream network with partial barriers to fish migration","interactions":[],"lastModifiedDate":"2020-08-17T12:39:28.727677","indexId":"70211940","displayToPublicDate":"2016-08-12T13:01:44","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Keeping things local: Subpopulation N<sub><i>b</i></sub> and N<sub><i>e</i></sub> in a stream network with partial barriers to fish migration","title":"Keeping things local: Subpopulation Nb and Ne in a stream network with partial barriers to fish migration","docAbstract":"<p><span>For organisms with overlapping generations that occur in metapopulations, uncertainty remains regarding the spatiotemporal scale of inference of estimates of the effective number of breeders (</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/f0c18c6b-1ba2-42bd-99b7-3cd79e649c2b/eva12454-math-0001.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0001\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/f0c18c6b-1ba2-42bd-99b7-3cd79e649c2b/eva12454-math-0001.png\"><span>) and whether these estimates can be used to predict generational&nbsp;</span><i>N</i><sub>e</sub><span>. We conducted a series of tests of the spatiotemporal scale of inference of estimates of&nbsp;</span><i>N</i><sub>b</sub><span>&nbsp;in nine consecutive cohorts within a long‐term study of brook trout (</span><i>Salvelinus fontinalis</i><span>). We also tested a recently developed approach to estimate generational&nbsp;</span><i>N</i><sub>e</sub><span>&nbsp;from&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/f082f208-7cc9-41d1-93f3-0b96eeba9915/eva12454-math-0002.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0002\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/f082f208-7cc9-41d1-93f3-0b96eeba9915/eva12454-math-0002.png\"><span>&nbsp;and compared this to an alternative approach for estimating&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/3c79185e-2dd4-484c-814f-2dffa7d9d5d9/eva12454-math-0003.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0003\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/3c79185e-2dd4-484c-814f-2dffa7d9d5d9/eva12454-math-0003.png\"><span>&nbsp;that also accounts for age structure. Multiple lines of evidence were consistent with&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/e05fad7a-6682-4312-b90b-be93cb994df8/eva12454-math-0004.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0004\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/e05fad7a-6682-4312-b90b-be93cb994df8/eva12454-math-0004.png\"><span>&nbsp;corresponding to the local (subpopulation) spatial scale and the cohort‐specific temporal scale. We found that at least four consecutive cohort‐specific estimates of&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/60f883bb-2b37-42d7-a355-0d4bca883911/eva12454-math-0005.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0005\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/60f883bb-2b37-42d7-a355-0d4bca883911/eva12454-math-0005.png\"><span>&nbsp;were necessary to obtain reliable estimates of harmonic mean&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/317b6dd2-8eea-489b-8861-a2a46960fe7f/eva12454-math-0006.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0006\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/317b6dd2-8eea-489b-8861-a2a46960fe7f/eva12454-math-0006.png\"><span>&nbsp;for a subpopulation. Generational&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/cea25c00-6fe7-43d6-a077-fdd6b26efc88/eva12454-math-0007.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0007\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/cea25c00-6fe7-43d6-a077-fdd6b26efc88/eva12454-math-0007.png\"><span>&nbsp;derived from cohort‐specific&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/92d0e3d9-675e-436f-b90f-932d0ba4f29e/eva12454-math-0008.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0008\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/92d0e3d9-675e-436f-b90f-932d0ba4f29e/eva12454-math-0008.png\"><span>&nbsp;was within 7%–50% of an alternative approach to obtain&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/cb5afcb9-c197-4eb4-9e45-2867ef4ea54a/eva12454-math-0009.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0009\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/cb5afcb9-c197-4eb4-9e45-2867ef4ea54a/eva12454-math-0009.png\"><span>, suggesting some population specificity for concordance between approaches. Our results regarding the spatiotemporal scale of inference for&nbsp;</span><i>N</i><sub>b</sub><span>&nbsp;should apply broadly to many taxa that exhibit overlapping generations and metapopulation structure and point to promising avenues for using cohort‐specific&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/a875c5a8-c303-45de-8f47-84fde3eceabd/eva12454-math-0010.png\" alt=\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0010\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/a875c5a8-c303-45de-8f47-84fde3eceabd/eva12454-math-0010.png\"><span>&nbsp;for local‐scale genetic monitoring.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12454","usgsCitation":"Whiteley, A., Coombs, J., O’Donnell, M., Nislow, K., and Letcher, B., 2016, Keeping things local: Subpopulation Nb and Ne in a stream network with partial barriers to fish migration: Evolutionary Applications, v. 10, no. 4, p. 348-365, https://doi.org/10.1111/eva.12454.","productDescription":"18 p.","startPage":"348","endPage":"365","ipdsId":"IP-081575","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12454","text":"Publisher Index Page"},{"id":377414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"West Brook","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.75009155273438,\n              42.36970554816487\n            ],\n            [\n              -72.55233764648438,\n              42.36970554816487\n            ],\n            [\n              -72.55233764648438,\n              42.508552415528634\n            ],\n            [\n              -72.75009155273438,\n              42.508552415528634\n            ],\n            [\n              -72.75009155273438,\n              42.36970554816487\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Whiteley, AR","contributorId":196992,"corporation":false,"usgs":false,"family":"Whiteley","given":"AR","email":"","affiliations":[],"preferred":false,"id":795894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, JA","contributorId":196990,"corporation":false,"usgs":false,"family":"Coombs","given":"JA","email":"","affiliations":[],"preferred":false,"id":795895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Matthew 0000-0002-9089-2377 mjodonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":167315,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"mjodonnell@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nislow, KH","contributorId":167314,"corporation":false,"usgs":false,"family":"Nislow","given":"KH","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":795897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795898,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175456,"text":"70175456 - 2016 - Predation on Chinook Salmon parr by hatchery salmonids and Fallfish in the Salmon River, New York","interactions":[],"lastModifiedDate":"2016-08-12T12:01:03","indexId":"70175456","displayToPublicDate":"2016-08-12T13:00:00","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":"Predation on Chinook Salmon parr by hatchery salmonids and Fallfish in the Salmon River, New York","docAbstract":"<p><span>Naturally reproduced Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>&nbsp;contribute substantially to the fishery in Lake Ontario. The Salmon River, a Lake Ontario tributary in New York, produces the largest numbers of naturally spawned Chinook Salmon, with parr abundance in the river often exceeding 10 million. In the spring of each year, large numbers of hatchery salmonid yearlings&mdash;potential predators of Chinook Salmon parr&mdash;are released into the Salmon River by the New York State Department of Environmental Conservation. We sought to examine predation on Chinook Salmon parr in the Salmon River during May and June prior to out-migration. Over the 4 years examined (2009&ndash;2012), annual consumption of Chinook Salmon parr by hatchery-released yearling steelhead&nbsp;</span><i>O. mykiss</i><span>&nbsp;and Coho Salmon&nbsp;</span><i>O. kisutch</i><span>&nbsp;ranged from 1.5 to 3.3 million and from 0.4 to 2.1 million, respectively. In 2009, Fallfish&nbsp;</span><i>Semotilus corporalis</i><span>&nbsp;were estimated to consume 2.9 million Chinook Salmon parr. Predation was higher in May, when the average TL of Chinook Salmon parr was 44.5 mm, than in June. Fallfish were also important predators of naturally reproduced steelhead subyearlings, consuming an estimated 800,000 steelhead in 2009. Hatchery-released yearling salmonids consumed 13.8&ndash;15.3% of the Chinook Salmon parr that were estimated to be present in the Salmon River during 2010&ndash;2012. Earlier releases of hatchery salmonid yearlings could reduce the riverine consumption of Chinook Salmon parr by facilitating the out-migration of yearlings prior to Chinook Salmon emergence.</span></p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2015.1103821","usgsCitation":"Johnson, J.H., Nack, C.C., Chalupnicki, M., Abbett, R., and McKenna, J., 2016, Predation on Chinook Salmon parr by hatchery salmonids and Fallfish in the Salmon River, New York: North American Journal of Fisheries Management, v. 36, no. 1, p. 74-84, https://doi.org/10.1080/02755947.2015.1103821.","startPage":"74","endPage":"84","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069310","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Salmon River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.55552673339844,\n              44.614667131008886\n            ],\n            [\n              -73.55552673339844,\n              44.657175947461916\n            ],\n            [\n              -73.43879699707031,\n              44.657175947461916\n            ],\n            [\n              -73.43879699707031,\n              44.614667131008886\n            ],\n            [\n              -73.55552673339844,\n              44.614667131008886\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-28","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd42","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nack, Christopher C.","contributorId":66137,"corporation":false,"usgs":true,"family":"Nack","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":645316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalupnicki, Marc 0000-0002-3792-9345 mchalupnicki@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":173643,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":645319,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175467,"text":"70175467 - 2016 - Divergent projections of future land use in the United States arising from different models and scenarios","interactions":[],"lastModifiedDate":"2017-08-29T09:36:55","indexId":"70175467","displayToPublicDate":"2016-08-12T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Divergent projections of future land use in the United States arising from different models and scenarios","docAbstract":"<p><span>A variety of land-use and land-cover (LULC) models operating at scales from local to global have been developed in recent years, including a number of models that provide spatially explicit, multi-class LULC projections for the conterminous United States. This diversity of modeling approaches raises the question: how consistent are their projections of future land use? We compared projections from six LULC modeling applications for the United States and assessed quantitative, spatial, and conceptual inconsistencies. Each set of projections provided multiple scenarios covering a period from roughly 2000 to 2050. Given the unique spatial, thematic, and temporal characteristics of each set of projections, individual projections were aggregated to a common set of basic, generalized LULC classes (i.e., cropland, pasture, forest, range, and urban) and summarized at the county level across the conterminous United States. We found very little agreement in projected future LULC trends and patterns among the different models. Variability among scenarios for a given model was generally lower than variability among different models, in terms of both trends in the amounts of basic LULC classes and their projected spatial patterns. Even when different models assessed the same purported scenario, model projections varied substantially. Projections of agricultural trends were often far above the maximum historical amounts, raising concerns about the realism of the projections. Comparisons among models were hindered by major discrepancies in categorical definitions, and suggest a need for standardization of historical LULC data sources. To capture a broader range of uncertainties, ensemble modeling approaches are also recommended. However, the vast inconsistencies among LULC models raise questions about the theoretical and conceptual underpinnings of current modeling approaches. Given the substantial effects that land-use change can have on ecological and societal processes, there is a need for improvement in LULC theory and modeling capabilities to improve acceptance and use of regional- to national-scale LULC projections for the United States and elsewhere.</span></p>","language":"English","publisher":"Elsevier Science Pub. Co.","publisherLocation":"New York, NY","doi":"10.1016/j.ecolmodel.2016.07.016","usgsCitation":"Sohl, T.L., Wimberly, M., Radeloff, V.C., Theobald, D.M., and Sleeter, B.M., 2016, Divergent projections of future land use in the United States arising from different models and scenarios: Ecological Modelling, v. 337, p. 281-297, https://doi.org/10.1016/j.ecolmodel.2016.07.016.","startPage":"281","endPage":"297","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074476","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.07.016","text":"Publisher Index Page"},{"id":326455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}\n","volume":"337","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd38","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":645358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimberly, Michael","contributorId":51654,"corporation":false,"usgs":true,"family":"Wimberly","given":"Michael","affiliations":[],"preferred":false,"id":645359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Radeloff, Volker C.","contributorId":141124,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker","email":"","middleInitial":"C.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":645360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Theobald, David M. 0000-0002-1271-9368","orcid":"https://orcid.org/0000-0002-1271-9368","contributorId":10271,"corporation":false,"usgs":false,"family":"Theobald","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":true,"id":645361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":645362,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175462,"text":"70175462 - 2016 - Diversity of fungal endophytes in non-native <i>Phragmites australis</i> in the Great Lakes","interactions":[],"lastModifiedDate":"2016-08-26T11:13:17","indexId":"70175462","displayToPublicDate":"2016-08-12T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Diversity of fungal endophytes in non-native <i>Phragmites australis</i> in the Great Lakes","docAbstract":"<p id=\"Par1\" class=\"Para\">Plant&ndash;microbial interactions may play a key role in plant invasions. One common microbial interaction takes place between plants and fungal endophytes when fungi asymptomatically colonize host plant tissues. The objectives of this study were to isolate and sequence fungal endophytes colonizing non-native&nbsp;<i class=\"EmphasisTypeItalic \">Phragmites australis</i>&nbsp;in the Great Lakes region to evaluate variation in endophyte community composition among three host tissue types and three geographical regions. We collected entire ramets from multiple clones and populations, surface sterilized plant tissues, and plated replicate tissue samples from leaves, stems, and rhizomes on corn meal agar plates to culture and isolate fungal endophytes. Isolates were then subjected to Sanger sequencing of the ITS region of the nuclear ribosomal DNA. Sequences were compared to fungal databases to define operational taxonomic units (OTUs) that were analyzed statistically for community composition. In total, we obtained 173 endophyte isolates corresponding to 55 OTUs, 39 of which were isolated only a single time. The most common OTU corresponded most closely to&nbsp;<i class=\"EmphasisTypeItalic \">Sarocladium strictum</i>&nbsp;and comprised 25&nbsp;% of all fungal isolates. More OTUs were found in stem tissues, but endophyte diversity was greatest in rhizome tissues. PERMANOVA analyses indicated significant differences in endophyte communities among tissue types, geographical regions, and the interaction between those factors, but no differences among individual ramets were detected. The functional role of the isolated endophytes is not yet known, but one genus isolated here (<i class=\"EmphasisTypeItalic \">Stagonospora</i>) has been reported to enhance&nbsp;<i class=\"EmphasisTypeItalic \">Phragmites&nbsp;</i>growth. Understanding the diversity and functions of&nbsp;<i class=\"EmphasisTypeItalic \">Phragmites</i>&nbsp;endophytes may provide targets for control measures based on disrupting host plant/endophyte interactions.</p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10530-016-1137-y","usgsCitation":"Clay, K., Shearin, Z., Bourke, K., Bickford, W.A., and Kowalski, K., 2016, Diversity of fungal endophytes in non-native <i>Phragmites australis</i> in the Great Lakes: Biological Invasions, v. 18, no. 9, p. 2703-2716, https://doi.org/10.1007/s10530-016-1137-y.","productDescription":"14 p.","startPage":"2703","endPage":"2716","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069956","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.42773437499999,\n              40.64730356252251\n            ],\n            [\n              -93.42773437499999,\n              49.66762782262194\n            ],\n            [\n              -75.5859375,\n              49.66762782262194\n            ],\n            [\n              -75.5859375,\n              40.64730356252251\n            ],\n            [\n              -93.42773437499999,\n              40.64730356252251\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-04","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd3a","chorus":{"doi":"10.1007/s10530-016-1137-y","url":"http://dx.doi.org/10.1007/s10530-016-1137-y","publisher":"Springer Nature","authors":"Clay Keith, Shearin Zackery R. C., Bourke Kimberly A., Bickford Wesley A., Kowalski Kurt P.","journalName":"Biological Invasions","publicationDate":"4/4/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"4/4/2016"},"contributors":{"authors":[{"text":"Clay, Keith","contributorId":140472,"corporation":false,"usgs":false,"family":"Clay","given":"Keith","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":645340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearin, Zachery","contributorId":173650,"corporation":false,"usgs":false,"family":"Shearin","given":"Zachery","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":645339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourke, Kimberly kbourke@usgs.gov","contributorId":173651,"corporation":false,"usgs":true,"family":"Bourke","given":"Kimberly","email":"kbourke@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175463,"text":"70175463 - 2016 - Applying the collective impact approach to address non-native species: A case study of the Great Lakes <i>Phragmites</i> Collaborative","interactions":[],"lastModifiedDate":"2016-08-26T11:14:42","indexId":"70175463","displayToPublicDate":"2016-08-12T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Applying the collective impact approach to address non-native species: A case study of the Great Lakes <i>Phragmites</i> Collaborative","docAbstract":"<p><span>To address the invasion of non-native&nbsp;</span><i class=\"EmphasisTypeItalic \">Phragmites</i><span>&nbsp;in the Great Lakes, researchers at the U.S. Geological Survey&mdash;Great Lakes Science Center partnered with the Great Lakes Commission in 2012 to establish the Great Lakes&nbsp;</span><i class=\"EmphasisTypeItalic \">Phragmites</i><span>&nbsp;Collaborative (GLPC). The GLPC is a regional-scale partnership established to improve collaboration among stakeholders and increase the effectiveness of non-native&nbsp;</span><i class=\"EmphasisTypeItalic \">Phragmites</i><span>&nbsp;management and research. Rather than forming a traditional partnership with a narrowly defined goal, the GLPC follows the principles of collective impact to engage stakeholders, guide progress, and align resources to address this complex, regional challenge. In this paper, the concept and tenets of collective impact are described, the GLPC is offered as a model for other natural resource-focused collective impact efforts, and steps for establishing collaboratives are presented. Capitalizing on the interactive collective impact approach, the GLPC is moving toward a broadly accepted common agenda around which agencies and individuals will be able to better align their actions and generate measureable progress in the regional campaign to protect healthy, diverse ecosystems from damage caused by non-native&nbsp;</span><i class=\"EmphasisTypeItalic \">Phragmites</i><span>.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10530-016-1142-1","usgsCitation":"Braun, H.B., Kowalski, K., and Hollins, K., 2016, Applying the collective impact approach to address non-native species: A case study of the Great Lakes <i>Phragmites</i> Collaborative: Biological Invasions, v. 18, no. 9, p. 2729-2738, https://doi.org/10.1007/s10530-016-1142-1.","productDescription":"10 p.","startPage":"2729","endPage":"2738","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069939","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-22","publicationStatus":"PW","scienceBaseUri":"57aee524e4b0fc09faadbd36","contributors":{"authors":[{"text":"Braun, H. B.","contributorId":173652,"corporation":false,"usgs":false,"family":"Braun","given":"H.","email":"","middleInitial":"B.","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":645344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollins, K.","contributorId":173653,"corporation":false,"usgs":false,"family":"Hollins","given":"K.","email":"","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":645345,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175458,"text":"70175458 - 2016 - Habituation of adult sea lamprey repeatedly exposed to damage-released alarm and predator cues","interactions":[],"lastModifiedDate":"2016-09-06T13:31:30","indexId":"70175458","displayToPublicDate":"2016-08-12T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Habituation of adult sea lamprey repeatedly exposed to damage-released alarm and predator cues","docAbstract":"<p><span>Predation is an unforgiving selective pressure affecting the life history, morphology and behaviour of prey organisms. Selection should favour organisms that have the ability to correctly assess the information content of alarm cues. This study investigated whether adult sea lamprey&nbsp;</span><i class=\"EmphasisTypeItalic \">Petromyzon marinus</i><span>&nbsp;habituate to conspecific damage-released alarm cues (fresh and decayed sea lamprey extract), a heterospecific damage-released alarm cue (white sucker&nbsp;</span><i class=\"EmphasisTypeItalic \">Catostomus commersonii</i><span>extract), predator cues (Northern water snake&nbsp;</span><i class=\"EmphasisTypeItalic \">Nerodia sipedon</i><span>&nbsp;washing, human saliva and 2-phenylethylamine hydrochloride (PEA HCl)) and a conspecific damage-released alarm cue and predator cue combination (fresh sea lamprey extract and human saliva) after they were pre-exposed 4 times or 8 times, respectively, to a given stimulus the previous night. Consistent with our prediction, adult sea lamprey maintained an avoidance response to conspecific damage-released alarm cues (fresh and decayed sea lamprey extract), a predator cue presented at high relative concentration (PEA HCl) and a conspecific damage-released alarm cue and predator cue combination (fresh sea lamprey extract plus human saliva), irrespective of previous exposure level. As expected, adult sea lamprey habituated to a sympatric heterospecific damage-released alarm cue (white sucker extract) and a predator cue presented at lower relative concentration (human saliva). Adult sea lamprey did not show any avoidance of the Northern water snake washing and the Amazon sailfin catfish extract (heterospecific control). This study suggests that conspecific damage-released alarm cues and PEA HCl present the best options as natural repellents in an integrated management program aimed at controlling the abundance of sea lamprey in the Laurentian Great Lakes.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10641-016-0503-z","usgsCitation":"Imre, I., Di Rocco, R.T., Brown, G.E., and Johnson, N., 2016, Habituation of adult sea lamprey repeatedly exposed to damage-released alarm and predator cues: Environmental Biology of Fishes, v. 99, no. 8, p. 613-620, https://doi.org/10.1007/s10641-016-0503-z.","productDescription":"8 p.","startPage":"613","endPage":"620","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066069","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd40","contributors":{"authors":[{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":645326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard T.","contributorId":150984,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":645327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Grant E.","contributorId":173005,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","email":"","middleInitial":"E.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":645328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645325,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70164332,"text":"70164332 - 2016 - A long-term evaluation of biopsy darts and DNA to estimate cougar density","interactions":[],"lastModifiedDate":"2016-12-13T16:44:03","indexId":"70164332","displayToPublicDate":"2016-08-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"A long-term evaluation of biopsy darts and DNA to estimate cougar density","docAbstract":"<p>Accurately estimating cougar (<i>Puma concolor</i>) density is usually based on long-term research consisting of intensive capture and Global Positioning System collaring efforts and may cost hundreds of thousands of dollars annually. Because wildlife agency budgets rarely accommodate this approach, most infer cougar density from published literature, rely on short-term studies, or use hunter harvest data as a surrogate in their jurisdictions; all of which may limit accuracy and increase risk of management actions. In an effort to develop a more cost-effective long-term strategy, we evaluated a research approach using citizen scientists with trained hounds to tree cougars and collect tissue samples with biopsy darts. We then used the DNA to individually identify cougars and employed spatially explicit capture–recapture models to estimate cougar densities. Overall, 240 tissue samples were collected in northeastern Washington, USA, producing 166 genotypes (including recaptures and excluding dependent kittens) of 133 different cougars (8-25/yr) from 2003 to 2011. Mark–recapture analyses revealed a mean density of 2.2 cougars/100 km<sup>2</sup> (95% CI=1.1-4.3) and stable to decreasing population trends (β=-0.048, 95% CI=-0.106–0.011) over the 9 years of study, with an average annual harvest rate of 14% (range=7-21%). The average annual cost per year for field sampling and genotyping was US$11,265 ($422.24/sample or $610.73/successfully genotyped sample). Our results demonstrated that long-term biopsy sampling using citizen scientists can increase capture success and provide reliable cougar-density information at a reasonable cost.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.675","usgsCitation":"Beausoleil, R.A., Clark, J.D., and Maletzke, B.T., 2016, A long-term evaluation of biopsy darts and DNA to estimate cougar density: Wildlife Society Bulletin, v. 40, no. 3, p. 583-592, https://doi.org/10.1002/wsb.675.","productDescription":"10 p.","startPage":"583","endPage":"592","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072668","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":500041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/82b8f68faa4c4491bb97e6ba69823c2e","text":"External Repository"},{"id":332085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Ferry County","otherGeospatial":"Game Management Unit 101","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.22113037109375,\n              49.00004203215395\n            ],\n            [\n              -118.22113037109375,\n              48.93152205931365\n            ],\n            [\n              -118.19641113281249,\n              48.909864610926675\n            ],\n            [\n              -118.2183837890625,\n              48.89180956320587\n            ],\n            [\n              -118.20465087890625,\n              48.850258199721495\n            ],\n            [\n       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A.","contributorId":156253,"corporation":false,"usgs":false,"family":"Beausoleil","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":597058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":597057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maletzke, Benjamin T.","contributorId":156254,"corporation":false,"usgs":false,"family":"Maletzke","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":597059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175455,"text":"70175455 - 2016 - Droughts may increase susceptibility of prairie dogs to fleas: Incongruity with hypothesized mechanisms of plague cycles in rodents","interactions":[],"lastModifiedDate":"2016-08-11T16:20:27","indexId":"70175455","displayToPublicDate":"2016-08-11T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Droughts may increase susceptibility of prairie dogs to fleas: Incongruity with hypothesized mechanisms of plague cycles in rodents","docAbstract":"<p><span>Plague is a reemerging, rodent-associated zoonosis caused by the flea-borne bacterium&nbsp;</span><i>Yersinia pestis</i><span>. As a vector-borne disease, rates of plague transmission may increase when fleas are abundant. Fleas are highly susceptible to desiccation under hot-dry conditions; we posited that their densities decline during droughts. We evaluated this hypothesis with black-tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>) in New Mexico, June&ndash;August 2010&ndash;2012. Precipitation was relatively plentiful during 2010 and 2012 but scarce during 2011, the driest spring&ndash;summer on record for the northeastern grasslands of New Mexico. Unexpectedly, fleas were 200% more abundant in 2011 than in 2010 and 2012. Prairie dogs were in 27% better condition during 2010 and 2012, and they devoted 287% more time to grooming in 2012 than in 2011. During 2012, prairie dogs provided with supplemental food and water were in 23% better condition and carried 40% fewer fleas. Collectively, these results suggest that during dry years, prairie dogs are limited by food and water, and they exhibit weakened defenses against fleas. Long-term data are needed to evaluate the generality of whether droughts increase flea densities and how changes in flea abundance during sequences of dry and wet years might affect plague cycles in mammalian hosts.</span></p>","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Provo, UT","doi":"10.1093/jmammal/gyw035","usgsCitation":"Eads, D.A., Biggins, D.E., Long, D.H., Gage, K.L., and Antolin, M.F., 2016, Droughts may increase susceptibility of prairie dogs to fleas: Incongruity with hypothesized mechanisms of plague cycles in rodents: Journal of Mammalogy, v. 97, no. 4, p. 1044-1053, https://doi.org/10.1093/jmammal/gyw035.","startPage":"1044","endPage":"1053","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073196","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw035","text":"Publisher Index Page"},{"id":326422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-14","publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650f2","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":645305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Dustin H.","contributorId":14239,"corporation":false,"usgs":true,"family":"Long","given":"Dustin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":645307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gage, Kenneth L.","contributorId":61742,"corporation":false,"usgs":true,"family":"Gage","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":645308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":645309,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175448,"text":"70175448 - 2016 - Retrospective: Adjusting contaminant concentrations in bird eggs to account for moisture and lipid Loss during their incubation","interactions":[],"lastModifiedDate":"2018-08-07T11:51:02","indexId":"70175448","displayToPublicDate":"2016-08-11T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective: Adjusting contaminant concentrations in bird eggs to account for moisture and lipid Loss during their incubation","docAbstract":"<p><span>By the 1960s, research and monitoring efforts on chlorinated pesticide residues in tissues of wildlife were well underway in North America and Europe. Conservationists and natural resource managers were attempting to resolve whether pesticide exposure and accumulated residues were related to population declines in several species of predatory and scavenging birds (e.g., bald eagle&nbsp;</span><i class=\"EmphasisTypeItalic \">Haliaeetus leucocephalus</i><span>, peregrine falcon&nbsp;</span><i class=\"EmphasisTypeItalic \">Falco peregrinus</i><span>, brown pelican&nbsp;</span><i class=\"EmphasisTypeItalic \">Pelecanus occidentalis</i><span>&nbsp;and osprey&nbsp;</span><i class=\"EmphasisTypeItalic \">Pandion haliaetus</i><span>). The avian egg was a favored sampling matrix even before the realization that eggshell thinning was linked to population declines (Ratcliffe&nbsp;</span><span class=\"CitationRef\">1967</span><span>; Hickey and Anderson&nbsp;</span><span class=\"CitationRef\">1968</span><span>) and that the concentration of&nbsp;</span><i class=\"EmphasisTypeItalic \">p,p</i><span>&rsquo;-DDE in an egg was associated with the shell thinning phenomenon (e.g., Blus et al.&nbsp;</span><span class=\"CitationRef\">1972</span><span>; Wiemeyer et al.&nbsp;</span><span class=\"CitationRef\">1988</span><span>). The necessity for making wet-weight concentration adjustments to account for natural moisture loss during incubation of viable eggs was realized. Correction for the more dramatic moisture loss in non-viable decaying eggs was recognized as being paramount. For example, the &sum;DDT residues in osprey eggs were reported to vary by as much as eightfold without accounting for moisture loss adjustments (Stickel et al.&nbsp;</span><span class=\"CitationRef\">1965</span><span>). In the absence of adjusting concentrations to the fresh wet-weight that was present at the time of egg laying, the uncorrected values exaggerated contaminant concentrations, yielding artifactual results and ultimately incorrect conclusions. The adjustment to fresh wet-weight concentration is equally important for many other persistent contaminants including PCBs, dioxins, furans, and brominated diphenyl ethers.</span></p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00128-016-1797-4","usgsCitation":"Rattner, B.A., Wiemeyer, S.N., and Blus, L.J., 2016, Retrospective: Adjusting contaminant concentrations in bird eggs to account for moisture and lipid Loss during their incubation: Bulletin of Environmental Contamination and Toxicology, v. 97, no. 1, p. 2-3, https://doi.org/10.1007/s00128-016-1797-4.","startPage":"2","endPage":"3","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074050","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":326415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-18","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d1835676510c","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiemeyer, Stanley N.","contributorId":78279,"corporation":false,"usgs":true,"family":"Wiemeyer","given":"Stanley","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":645270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blus, Lawrence J.","contributorId":35199,"corporation":false,"usgs":true,"family":"Blus","given":"Lawrence","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":645271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175444,"text":"70175444 - 2016 - A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas","interactions":[],"lastModifiedDate":"2016-08-11T14:49:26","indexId":"70175444","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2297,"text":"Journal of Forestry","onlineIssn":"1938-3746","printIssn":"0022-1201","active":true,"publicationSubtype":{"id":10}},"title":"A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas","docAbstract":"<p><span>The 50th anniversary of the US Wilderness Act of 1964 presents a worthy opportunity to review our collective knowledge on how recreation visitation affects wilderness and protected natural area resources. Studies of recreation impacts, examined within the&nbsp;</span><i>recreation ecology</i><span>&nbsp;field of study, have spanned 80 years and generated more than 1,200 citations. This article examines the recreation ecology literature most relevant to wilderness and backcountry, with a focus on visitor impacts to vegetation, soil, wildlife, and water resources. We also review relationships with influential factors, such as the amount of use, visitor behavior, and vegetation type. An understanding of these impacts and their relationships with influential factors is necessary for land managers seeking to identify acceptable limits of impact or selecting management actions that will effectively avoid or minimize resource impacts.</span></p>","language":"English","publisher":"Society of American Foresters","publisherLocation":"Washington, D.C.","doi":"10.5849/jof.15-498","usgsCitation":"Marion, J.L., Leung, Y., Eagleston, H., and Burroughs, K., 2016, A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas: Journal of Forestry, v. 114, no. 3, p. 352-362, https://doi.org/10.5849/jof.15-498.","startPage":"352","endPage":"362","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073092","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/jof.15-498","text":"Publisher Index Page"},{"id":326410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad939fe4b0d183567650e1","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leung, Yu-Fai","contributorId":95730,"corporation":false,"usgs":true,"family":"Leung","given":"Yu-Fai","affiliations":[],"preferred":false,"id":645247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagleston, Holly","contributorId":173611,"corporation":false,"usgs":false,"family":"Eagleston","given":"Holly","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":645248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burroughs, Kaitlin","contributorId":173612,"corporation":false,"usgs":false,"family":"Burroughs","given":"Kaitlin","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":645249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175447,"text":"70175447 - 2016 - A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decisionmaking","interactions":[],"lastModifiedDate":"2016-08-11T14:52:05","indexId":"70175447","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2297,"text":"Journal of Forestry","onlineIssn":"1938-3746","printIssn":"0022-1201","active":true,"publicationSubtype":{"id":10}},"title":"A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decisionmaking","docAbstract":"<p><span>Resource and experiential impacts associated with visitation to wilderness and other similar backcountry settings have long been addressed by land managers under the context of &ldquo;carrying capacity&rdquo; decisionmaking. Determining a maximum level of allowable use, below which high-quality resource and experiential conditions would be sustained, was an early focus in the 1960s and 1970s. However, decades of recreation ecology research have shown that the severity and areal extent of visitor impact problems are influenced by an interrelated array of use-related, environmental, and managerial factors. This complexity, with similar findings from social science research, prompted scientists and managers to develop more comprehensive carrying capacity frameworks, including a new Visitor Use Management framework. These frameworks rely on a diverse array of management strategies and actions, often termed a &ldquo;management toolbox,&rdquo; for resolving visitor impact problems. This article reviews the most recent and relevant recreation ecology studies that have been applied in wildland settings to avoid or minimize resource impacts. The key findings and their management implications are highlighted to support the professional management of common trail, recreation site, and wildlife impact problems. These studies illustrate the need to select from a more diverse array of impact management strategies and actions based on an evaluation of problems to identify the most influential factors that can be manipulated.</span></p>","language":"English","publisher":"Society of American Foresters","publisherLocation":"Washington, D.C.","doi":"10.5849/jof.15-062","usgsCitation":"Marion, J.L., 2016, A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decisionmaking: Journal of Forestry, v. 114, no. 3, p. 339-351, https://doi.org/10.5849/jof.15-062.","startPage":"339","endPage":"351","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073094","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/jof.15-062","text":"Publisher Index Page"},{"id":326411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650e5","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175477,"text":"70175477 - 2016 - Functional role of bacteria from invasive <i>Phragmites australis</i> in promotion of host growth","interactions":[],"lastModifiedDate":"2016-09-16T15:45:17","indexId":"70175477","displayToPublicDate":"2016-08-11T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Functional role of bacteria from invasive <i>Phragmites australis</i> in promotion of host growth","docAbstract":"<p>We hypothesize that bacterial endophytes may enhance the competitiveness and invasiveness of Phragmites australis. To evaluate this hypothesis, endophytic bacteria were isolated from P. australis. The majority of the shoot meristem isolates represent species from phyla Firmicutes, Proteobacteria, and Actinobacteria. We chose one species from each phylum to characterize further and to conduct growth promotion experiments in Phragmites. Bacteria tested include Bacillus amyloliquefaciens A9a, Achromobacter spanius B1, and Microbacterium oxydans B2. Isolates were characterized for known growth promotional traits, including indole acetic acid (IAA) production, secretion of hydrolytic enzymes, phosphate solubilization, and antibiosis activity. Potentially defensive antimicrobial lipopeptides were assayed for through application of co-culturing experiments and mass spectrometer analysis. B. amyloliquefaciens A9a and M. oxydans B2 produced IAA. B. amyloliquefaciens A9a secreted antifungal lipopeptides. Capability to promote growth of P. australis under low nitrogen conditions was evaluated in greenhouse experiments. All three isolates were found to increase the growth of P. australis under low soil nitrogen conditions and showed increased absorption of isotopic nitrogen into plants. This suggests that the Phragmites microbes we evaluated most likely promote growth of Phragmites by enhanced scavenging of nitrogenous compounds from the rhizosphere and transfer to host roots. Collectively, our results support the hypothesis that endophytic bacteria play a role in enhancing growth of P. australis in natural populations. Gaining a better understanding of the precise contributions and mechanisms of endophytes in enabling P. australis to develop high densities rapidly could lead to new symbiosis-based strategies for management and control of the host.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00248-016-0793-x","usgsCitation":"Soares, M.A., Li, H., Kowalski, K., Bergen, M., Torres, M.S., and White, J.F., 2016, Functional role of bacteria from invasive <i>Phragmites australis</i> in promotion of host growth: Microbial Ecology, v. 72, no. 2, p. 407-417, https://doi.org/10.1007/s00248-016-0793-x.","productDescription":"10 p.","startPage":"407","endPage":"417","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067030","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.51580047607422,\n              40.53754694556798\n            ],\n            [\n              -74.4876480102539,\n              40.550330732028456\n            ],\n            [\n              -74.47185516357422,\n              40.55372193931024\n            ],\n            [\n              -74.44095611572266,\n              40.55267850920821\n            ],\n            [\n              -74.42550659179688,\n              40.554243648263764\n            ],\n            [\n              -74.40628051757812,\n              40.53650326344772\n            ],\n            [\n              -74.3935775756836,\n              40.51353814357382\n            ],\n            [\n              -74.3990707397461,\n              40.48299278830798\n            ],\n            [\n              -74.40799713134766,\n              40.46836786826194\n            ],\n            [\n              -74.4279098510742,\n              40.458964451811894\n            ],\n            [\n              -74.47769165039062,\n              40.46575594018434\n            ],\n            [\n              -74.5089340209961,\n              40.48952074193398\n            ],\n            [\n              -74.5254135131836,\n              40.51353814357382\n            ],\n            [\n              -74.51580047607422,\n              40.53754694556798\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"57aef33ce4b0fc09faae0377","contributors":{"authors":[{"text":"Soares, M. A.","contributorId":173661,"corporation":false,"usgs":false,"family":"Soares","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":18163,"text":"Federal University of Mato Grosso","active":true,"usgs":false}],"preferred":false,"id":645386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, H-Y","contributorId":173662,"corporation":false,"usgs":false,"family":"Li","given":"H-Y","email":"","affiliations":[{"id":18164,"text":"Kunming University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":645387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergen, M.","contributorId":174655,"corporation":false,"usgs":false,"family":"Bergen","given":"M.","email":"","affiliations":[],"preferred":false,"id":645388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, M. S.","contributorId":173663,"corporation":false,"usgs":false,"family":"Torres","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, J. F.","contributorId":173664,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175426,"text":"sir20165101 - 2016 - Potential postwildfire debris-flow hazards—A prewildfire evaluation for the Jemez Mountains, north-central New Mexico","interactions":[],"lastModifiedDate":"2016-08-11T14:35:08","indexId":"sir20165101","displayToPublicDate":"2016-08-11T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5101","title":"Potential postwildfire debris-flow hazards—A prewildfire evaluation for the Jemez Mountains, north-central New Mexico","docAbstract":"<p>Wildfire can substantially increase the probability of debris flows, a potentially hazardous and destructive form of mass wasting, in landscapes that have otherwise been stable throughout recent history. Although the exact location, extent, and severity of wildfire or subsequent rainfall intensity and duration cannot be known, probabilities of fire and debris‑flow occurrence for given locations can be estimated with geospatial analysis and modeling. The purpose of this report is to provide information on which watersheds might constitute the most serious potential debris<span class=\"s1\">-</span>flow hazards in the event of a large<span class=\"s1\">-</span>scale wildfire and subsequent rainfall in the Jemez Mountains. Potential probabilities and estimated volumes of postwildfire debris flows in both the unburned and previously burned areas of the Jemez Mountains and surrounding areas were estimated using empirical debris<span class=\"s1\">-</span>flow models developed by the U.S. Geological Survey in combination with fire behavior and burn probability models developed by the U.S. Forest Service.</p><p>Of the 4,998 subbasins modeled for this study, computed debris-flow probabilities in 671 subbasins were greater than 80 percent in response to the 100<span class=\"s1\">-</span>year recurrence interval, 30-minute duration rainfall event. These subbasins ranged in size from 0.01 to 6.57 square kilometers (km<sup>2</sup>), with an average area of 0.29 km<sup>2</sup>, and were mostly steep, upstream tributaries to larger channels in the area. Modeled debris-flow volumes in 465 subbasins were greater than 10,000 cubic meters (m<sup>3</sup>), and 14 of those subbasins had modeled debris‑flow volumes greater than 100,000 m<sup>3</sup>.</p><p>The rankings of integrated relative debris<span class=\"s1\">-</span>flow hazard indexes for each subbasin were generated by multiplying the individual subbasin values for debris<span class=\"s1\">-</span>flow volume, debris‑flow probability, and average burn probability. The subbasins with integrated hazard index values in the top 2 percent typically are large, upland tributaries to canyons and channels primarily in the Upper Rio Grande and Rio Grande-Santa Fe watershed areas. No subbasins in this group have basin areas less than 1.0 km<sup>2</sup>. Many of these areas already had significant mass‑wasting episodes following the Las Conchas Fire in 2011. Other subbasins with integrated hazard index values in the top 2 percent are scattered throughout the Jemez River watershed area, including some subbasins in the interior of the Valles Caldera. Only a few subbasins in the top integrated hazard index group are in the Rio Chama watershed area.</p><p>This prewildfire assessment approach is valuable to resource managers because the analysis of the debris-flow threat is made before a wildfire occurs, which facilitates prewildfire management, planning, and mitigation. In north‑central New Mexico, widespread watershed restoration efforts are being done to safeguard vital watersheds against the threat of catastrophic wildfire. This study was designed to help select ideal locations for the restoration efforts that could have the best return on investment.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165101","collaboration":"Prepared in cooperation with the Buckman Direct Diversion Board, U.S. Forest Service, Albuquerque/Bernalillo County Water Utility Authority, U.S. Army Corps of Engineers, and Los Alamos County","usgsCitation":"Tillery, A.C., and Haas, J.R., 2016, Potential postwildfire debris-flow hazards—A prewildfire evaluation for the Jemez Mountains, north-central New Mexico: U.S. Geological Survey Scientific-Investigations Report 2016-5101, 27 p., https://dx.doi.org/10.3133/sir20165101.","productDescription":"Report: vi, 27 p.; Interactive Map; GIS Files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070303","costCenters":[{"id":472,"text":"New Mexico Water Science 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5338 Montgomery Blvd. NE<br> Albuquerque, New Mexico 87109<br> <a href=\"http://nm.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://nm.water.usgs.gov\">http://nm.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods and Approach</li>\n<li>Modeling Results</li>\n<li>Potential Postwildfire Debris-Flow Hazards</li>\n<li>Integrated Relative Debris-Flow Hazard Index Rankings</li>\n<li>Limitations of Debris-Flow Hazard Assessment</li>\n<li>Future Considerations for Prewildfire Assessments of Postwildfire Hazards</li>\n<li>Implications for Burn-Severity Mitigation Measures in the Jemez Mountains</li>\n<li>Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d18356765107","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haas, Jessica R.","contributorId":10735,"corporation":false,"usgs":true,"family":"Haas","given":"Jessica R.","affiliations":[],"preferred":false,"id":645141,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175428,"text":"70175428 - 2016 - Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport","interactions":[],"lastModifiedDate":"2017-06-29T11:57:28","indexId":"70175428","displayToPublicDate":"2016-08-11T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5444,"text":"Applied Ocean Research","active":true,"publicationSubtype":{"id":10}},"title":"Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport","docAbstract":"<p>A combined field and laboratory investigation was conducted to assess five options for creation of a recreational beach on a steep, armored shoreline on the eastern Black Sea coast. All designs incorporated a beach nourishment project placed between two existing, shore-normal, rubble-mound groins. Alternatives included the placement of a nearshore berm, longshore extensions added to the existing groins, and shore-parallel breakwaters. Several alternatives are reviewed for quantifying the performance of each design, including assessment of the change in shoreline position and project volume retained between the groins. Dimensionless benefits and benefit-cost ratios are quantified, and recommendations made on how to select the best outcome from a benefit-to-cost standpoint when options including hard structures are incorporated into a beach nourishment project design.</p>","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.apor.2016.07.001","usgsCitation":"Karasu, S., Work, P.A., Uzlu, E., Kankal, M., and Yuksek, O., 2016, Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport: Applied Ocean Research, v. 59, p. 459-471, https://doi.org/10.1016/j.apor.2016.07.001.","productDescription":"13 p.","startPage":"459","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072859","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":326392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","city":"Rize","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              39.847412109375,\n              41.13729606112276\n            ],\n            [\n              39.913330078125,\n              40.76390128094589\n            ],\n            [\n              41.572265625,\n              41.36856413680967\n            ],\n            [\n              41.220703125,\n              41.50857729743935\n            ],\n            [\n              39.847412109375,\n              41.13729606112276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"59","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650ec","contributors":{"authors":[{"text":"Karasu, Servet","contributorId":173591,"corporation":false,"usgs":false,"family":"Karasu","given":"Servet","email":"","affiliations":[{"id":27250,"text":"Recep Tayyip Erdogan University","active":true,"usgs":false}],"preferred":false,"id":645161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uzlu, Ergun","contributorId":173592,"corporation":false,"usgs":false,"family":"Uzlu","given":"Ergun","email":"","affiliations":[{"id":27251,"text":"Karadeniz Technical University","active":true,"usgs":false}],"preferred":false,"id":645162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kankal, Murat","contributorId":173593,"corporation":false,"usgs":false,"family":"Kankal","given":"Murat","email":"","affiliations":[{"id":27251,"text":"Karadeniz Technical University","active":true,"usgs":false}],"preferred":false,"id":645163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yuksek, Omer","contributorId":173594,"corporation":false,"usgs":false,"family":"Yuksek","given":"Omer","email":"","affiliations":[{"id":27251,"text":"Karadeniz Technical University","active":true,"usgs":false}],"preferred":false,"id":645164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175433,"text":"70175433 - 2016 - Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction","interactions":[],"lastModifiedDate":"2016-08-11T10:14:21","indexId":"70175433","displayToPublicDate":"2016-08-11T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction","docAbstract":"<p>Wastewater treatment plant (WWTP) effluents are known contributors of chemical mixtures into the environment. Of particular concern are endocrine-disrupting compounds, such as estrogens, which can affect the hypothalamic-pituitary-gonadal axis function in exposed organisms. The present study examined reproductive effects in fathead minnows exposed for 21 d to a historically estrogenic WWTP effluent. Fathead minnow breeding pairs were held in control water or 1 of 3 effluent concentrations (5%, 20%, and 100%) in a novel onsite, flow-through system providing real-time exposure. The authors examined molecular and biochemical endpoints representing key events along adverse outcome pathways linking estrogen receptor activation and other molecular initiating events to reproductive impairment. In addition, the authors used chemical analysis of the effluent to construct a chemical-gene interaction network to aid in targeted gene expression analyses and identifying potentially impacted biological pathways. Cumulative fecundity was significantly reduced in fish exposed to 100% effluent but increased in those exposed to 20% effluent, the approximate dilution factor in the receiving waters. Plasma vitellogenin concentrations in males increased in a dose-dependent manner with effluent concentration; however, male fertility was not impacted. Although in vitro analyses, analytical chemistry, and biomarker responses confirmed the effluent was estrogenic, estrogen receptor agonists were unlikely the primary driver of impaired reproduction. The results provide insights into the significance of pathway-based effects with regard to predicting adverse reproductive outcomes.</p>","language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1002/etc.3228","collaboration":"U.S. Environmental Protection Agency; University of Minnesota-Duluth","usgsCitation":"Cavallin, J.E., Jensen, K.M., Kahl, M.D., Villeneuve, D.L., Lee, K., Schroeder, A.L., Mayasich, J., Eid, E.P., Nelson, K.R., Milsk, R.Y., Blackwell, B., Berninger, J., LaLone, C.A., Blanskma, C., Jicha, T.M., Elonen, C.M., Johnson, R.C., and Ankley, G., 2016, Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction: Environmental Toxicology and Chemistry, v. 35, no. 3, p. 702-716, https://doi.org/10.1002/etc.3228.","productDescription":"15 p.","startPage":"702","endPage":"716","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065529","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":326390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326389,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/etc.3228"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d18356765103","chorus":{"doi":"10.1002/etc.3228","url":"http://dx.doi.org/10.1002/etc.3228","publisher":"Wiley-Blackwell","authors":"Cavallin Jenna E., Jensen Kathleen M., Kahl Michael D., Villeneuve Daniel L., Lee Kathy E., Schroeder Anthony L., Mayasich Joe, Eid Evan P., Nelson Krysta R., Milsk Rebecca Y., Blackwell Brett R., Berninger Jason P., LaLone Carlie A., Blanksma Chad, Jicha Terri, Elonen Colleen, Johnson Rodney, Ankley Gerald T.","journalName":"Environmental Toxicology and Chemistry","publicationDate":"2/9/2016"},"contributors":{"authors":[{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":645210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Kathleen M.","contributorId":84492,"corporation":false,"usgs":true,"family":"Jensen","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":645211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kahl, Michael D.","contributorId":146306,"corporation":false,"usgs":false,"family":"Kahl","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":645212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":645213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":645214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false},{"id":12503,"text":"University of Minnesota - 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,{"id":70175132,"text":"ds1012 - 2016 - Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07","interactions":[],"lastModifiedDate":"2016-08-11T12:03:51","indexId":"ds1012","displayToPublicDate":"2016-08-11T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1012","title":"Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07","docAbstract":"<p>This report provides a table of site descriptions, sample information, and semiquantitative aquatic macroinvertebrate data from 105 samples collected between 2005 and 2007 from 7 stream sites within the Sand Creek and Medano Creek watersheds in Great Sand Dunes National Park and Preserve, Saguache County, Colorado. Additionally, a short description of sample collection methods and laboratory sample processing procedures is presented. These data were collected in anticipation of assessing the potential effects of fish toxicants on macroinvertebrates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1012","collaboration":"Prepared in cooperation with Great Sand Dunes National Park and Preserve","usgsCitation":"Ford, M.A., Zuellig, R.E., Walters, D.M., and Bruce, J.F., 2016, Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07: U.S. Geological Survey Data Series 1012, 3 p., https://dx.doi.org/10.3133/ds1012.","productDescription":"Report: iii, 3 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076746","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":326377,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1012/ds1012.pdf","text":"Report","size":"796 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1012 Report"},{"id":326376,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1012/coverthb.jpg"},{"id":326379,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1012/ds1012_table1.xlsx","text":"Table 1. Description of sites, samples, and macroinvertebrate data","size":"176 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1012 Appendix"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.75,\n              37.99\n            ],\n            [\n              -105.75,\n              37.65\n            ],\n            [\n              -105.42,\n              37.65\n            ],\n            [\n              -105.42,\n              37.99\n            ],\n            [\n              -105.75,\n              37.99\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director<br>U.S. Geological Survey Fort Collins Science Center<br>2150 Centre Ave. Building C<br>Fort Collins, CO 80526-8118<br><a href=\"http://www.fort.usgs.gov/\" data-mce-href=\"http://www.fort.usgs.gov/\">http://www.fort.usgs.gov</a></p><p>Director<br>U.S. Geological Survey Colorado Water Science Center<br>Denver Federal Center, MS-415<br>Building 53<br>Denver, CO 80225-0046<br><a href=\"http://co.water.usgs.gov/\" data-mce-href=\"http://co.water.usgs.gov/\">http://co.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d183567650fc","contributors":{"authors":[{"text":"Ford, Morgan A. mford@usgs.gov","contributorId":173279,"corporation":false,"usgs":true,"family":"Ford","given":"Morgan","email":"mford@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":644047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":140992,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":644049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":644050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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