{"pageNumber":"788","pageRowStart":"19675","pageSize":"25","recordCount":184617,"records":[{"id":70201364,"text":"70201364 - 2019 - A Bayesian approach to predict sub-annual beach change and recovery","interactions":[],"lastModifiedDate":"2019-01-28T08:33:37","indexId":"70201364","displayToPublicDate":"2018-08-27T14:14:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian approach to predict sub-annual beach change and recovery","docAbstract":"<p><span>The upper beach, between the astronomical high tide and the dune-toe, supports habitat and recreation along many beaches, making predictions of upper beach change valuable to coastal managers and the public. We developed and tested a Bayesian network (BN) to predict the cross-shore position of an upper beach elevation contour (Z</span><sub>l</sub><span>D) following 1&nbsp;month to 1-year intervals at Fire Island, New York. We combine hydrodynamic data with series of island-wide topographic data and spatially limited cross-shore profiles. First, we predicted beach configuration of Z</span><sub>l</sub><span>D positions at high spatial resolution (50&nbsp;m) over intervals spanning 2005–2014. Compared to untrained model predictions, in which all six outcomes are equally likely (prior likelihood = 0.16), our prediction metrics (skill = 0.52; log likelihood ratio = 0.14; accuracy = 0.56) indicate the BN confidently predicts upper beach dynamics. Next, the BN forecasted three intervals of beach recovery following Hurricane Sandy. Results suggest the pre-Sandy training data is sufficiently robust to require only periodic updates to beach slope observations to maintain confidence for forecasts. Finally, we varied input data, using observations collected at a range of temporal (1–12&nbsp;months) and spatial (50&nbsp;m to &gt; 1&nbsp;km) resolutions to evaluate model skill. This experiment shows that data collection techniques with different spatial and temporal frequencies can be used to inform a single modeling framework and can provide insight to BN training requirements. Overall, results indicate that BNs and inputs can be developed for broad coastal change assessment or tailored to a set of predictive requirements, making this methodology applicable to a variety of coastal prediction scenarios.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0444-1","usgsCitation":"Wilson, K., Lentz, E.E., Miselis, J.L., Safak, I., and Brenner, O.T., 2019, A Bayesian approach to predict sub-annual beach change and recovery: Estuaries and Coasts, v. 42, no. 1, p. 112-131, https://doi.org/10.1007/s12237-018-0444-1.","productDescription":"20 p.","startPage":"112","endPage":"131","ipdsId":"IP-088528","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","scienceBaseUri":"5c10a953e4b034bf6a7e514b","contributors":{"authors":[{"text":"Wilson, Kathleen 0000-0002-2810-7585 kwilson@usgs.gov","orcid":"https://orcid.org/0000-0002-2810-7585","contributorId":195620,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753817,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204094,"text":"70204094 - 2019 - Understanding how microbiomes influence the systems they inhabit","interactions":[],"lastModifiedDate":"2020-09-01T14:01:58.098487","indexId":"70204094","displayToPublicDate":"2018-08-24T16:03:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5843,"text":"Nature Microbiology","onlineIssn":"2058-5276","active":true,"publicationSubtype":{"id":10}},"title":"Understanding how microbiomes influence the systems they inhabit","docAbstract":"Translating the ever-increasing wealth of information on microbiomes (environment, host, or built environment) to advance the understanding of system-level processes is proving to be an exceptional research challenge. One reason for this challenge is that relationships between characteristics of microbiomes and the system-level processes they influence are often evaluated in the absence of a robust conceptual framework and reported without elucidating the underlying causal mechanisms. The reliance on correlative approaches limits the potential to expand the inference of a single relationship to additional systems and advance the field. We propose that research focused on how microbiomes influence the systems they inhabit should work within a common framework and target known microbial processes that contribute to the system-level processes of interest. Here we identify three distinct categories of microbiome characteristics (microbial processes, microbial community properties, and microbial membership) and propose a framework to empirically link each of these categories to each other and the broader system level processes they affect. We posit that it is particularly important to distinguish microbial community properties that can be predicted from constituent taxa (community aggregated traits) from and those properties that are currently unable to be predicted from constituent taxa (emergent properties). Existing methods in microbial ecology can be applied to more explicitly elucidate properties within each of these categories and connect these three categories of microbial characteristics with each other. We view this proposed framework, gleaned from a breadth of research on environmental microbiomes and ecosystem processes, as a promising pathway with the potential to advance discovery and understanding across a broad range of microbiome science.","language":"English","publisher":"SpringerNature","doi":"10.1038/s41564-018-0201-z","usgsCitation":"Hall, E., Bernhardt, E.S., Bier, R., Bradford, M., Boot, C., Cotner, J., del Giorgio, P., Evans, S., Graham, E., Jones, S., Lennon, J., Locey, K.J., Nemergut, D., Osborne, B., Rocca, J., Schimel, J., Waldrop, M., and Wallenstein, M., 2019, Understanding how microbiomes influence the systems they inhabit: Nature Microbiology, v. 3, no. 9, p. 977-982, https://doi.org/10.1038/s41564-018-0201-z.","productDescription":"6 p.","startPage":"977","endPage":"982","ipdsId":"IP-068241","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":365295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, E.K.","contributorId":216759,"corporation":false,"usgs":false,"family":"Hall","given":"E.K.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, E. S.","contributorId":95682,"corporation":false,"usgs":false,"family":"Bernhardt","given":"E.","email":"","middleInitial":"S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bier, R.L.","contributorId":173735,"corporation":false,"usgs":false,"family":"Bier","given":"R.L.","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, M.A.","contributorId":216760,"corporation":false,"usgs":false,"family":"Bradford","given":"M.A.","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":765454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boot, C.M.","contributorId":173737,"corporation":false,"usgs":false,"family":"Boot","given":"C.M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cotner, J.B.","contributorId":216761,"corporation":false,"usgs":false,"family":"Cotner","given":"J.B.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":765456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"del Giorgio, P.A.","contributorId":216762,"corporation":false,"usgs":false,"family":"del Giorgio","given":"P.A.","affiliations":[{"id":24488,"text":"Universite du Quebec a Montreal","active":true,"usgs":false}],"preferred":false,"id":765457,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, S.E.","contributorId":178746,"corporation":false,"usgs":false,"family":"Evans","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":765458,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, E.B.;","contributorId":173738,"corporation":false,"usgs":false,"family":"Graham","given":"E.B.;","email":"","affiliations":[{"id":25479,"text":"CU Boulder","active":true,"usgs":false}],"preferred":false,"id":765459,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, S.E.","contributorId":216763,"corporation":false,"usgs":false,"family":"Jones","given":"S.E.","email":"","affiliations":[{"id":39511,"text":"Notre Dame University","active":true,"usgs":false}],"preferred":false,"id":765460,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lennon, J.T.","contributorId":156353,"corporation":false,"usgs":false,"family":"Lennon","given":"J.T.","email":"","affiliations":[{"id":20322,"text":"Department of Biology Indiana University, Bloomington, IN","active":true,"usgs":false}],"preferred":false,"id":765461,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Locey, Kenneth J.","contributorId":216781,"corporation":false,"usgs":false,"family":"Locey","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":765490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nemergut, D.","contributorId":216764,"corporation":false,"usgs":false,"family":"Nemergut","given":"D.","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765462,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Osborne, B.","contributorId":216765,"corporation":false,"usgs":false,"family":"Osborne","given":"B.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":765463,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rocca, J.D.","contributorId":216766,"corporation":false,"usgs":false,"family":"Rocca","given":"J.D.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765464,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schimel, J.S.","contributorId":216767,"corporation":false,"usgs":false,"family":"Schimel","given":"J.S.","email":"","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":765465,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":765450,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wallenstein, M.W.","contributorId":216768,"corporation":false,"usgs":false,"family":"Wallenstein","given":"M.W.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765466,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70213230,"text":"70213230 - 2019 - How many measurements are required to construct an accurate sand budget in a large river? Insights from analyses of signal and noise","interactions":[],"lastModifiedDate":"2020-09-16T01:05:56.245876","indexId":"70213230","displayToPublicDate":"2018-08-21T08:12:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"How many measurements are required to construct an accurate sand budget in a large river? Insights from analyses of signal and noise","docAbstract":"<div class=\"t m2 x0 h6 ye ff2 fs1 fc0 sc0 ls3 ws0\">Morphological change in river channels is frequently evaluated in the context of mass balance sediment budgets. In a closed sediment budget, measurements of sediment influx and efflux are coupled with measured changes in channel topography to provide both spatial and temporal resolution, and independent estimates of the mass balance. For sediment budgets constructed over long river segments (~10&nbsp;channel widths or greater) and long periods (~2 years or longer), spatial and temporal accumulation of measurement uncertainty, compounded by inadequate sampling frequency or spatial coverage, may produce indeterminate results.</div><div class=\"t m2 x0 h6 y15 ff2 fs1 fc0 sc0 ls3 ws0\">The degree of indeterminacy may be evaluated in the context of a signal-to-noise ratio (SNR), which is a function of the magnitude of the mass balance and the magnitudes of potential systematic uncertainties associated with measurements and incomplete sampling. We report on a closed sand budget consisting of measurements of flux and two morphological surveys for a 50-km segment of a large river over a 3-year period. Accurate reporting of the magnitude and sign of the change in sand storage was only possible by using state-of-the-art techniques with high temporal frequency and large spatial extent. Together, a sand flux and morphological mass balance revealed that sand evacuation was temporally concentrated (~100% of mass change occurred during 19% of the study period) and highly localized (70% of mass change occurred in 12% of the study segment). A SNR analysis revealed that uncertainty resulting from undersampling may approach or exceed that caused by measurement uncertainty and that daily sampling of suspended-sand concentration or repeat mapping of at least 50% of the river segment was required to determine the sand budget with SNR <span class=\"ff3\">&gt; </span>1. The approach used here to analyze sand budget uncertainty is especially applicable to other river systems with large temporal variability in sediment transport and large spatial variability in erosion and deposition.</div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4489","usgsCitation":"Grams, P.E., Buscombe, D., Topping, D.J., Kaplinski, M., and Hazel, J., 2019, How many measurements are required to construct an accurate sand budget in a large river? Insights from analyses of signal and noise: Earth Surface Processes and Landforms, v. 44, no. 1, p. 160-178, https://doi.org/10.1002/esp.4489.","productDescription":"19 p.","startPage":"160","endPage":"178","ipdsId":"IP-079806","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468106,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4489","text":"Publisher Index Page"},{"id":437634,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CIMU68","text":"USGS data release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona, May 2012, river miles 29 to 62 - Data"},{"id":378392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon, Lower Marble Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.65679931640625,\n              36.801587788085314\n            ],\n            [\n              -111.81060791015624,\n              36.62103883480288\n            ],\n            [\n              -111.89163208007812,\n              36.52177691707085\n            ],\n            [\n              -111.90536499023438,\n              36.37596215247431\n            ],\n            [\n              -111.84356689453125,\n              36.21103919432822\n            ],\n            [\n              -111.807861328125,\n              36.18887535558557\n            ],\n            [\n              -111.77215576171874,\n              36.1955251660701\n            ],\n            [\n              -111.83120727539062,\n              36.39365126402043\n            ],\n            [\n              -111.7694091796875,\n              36.575835338491764\n            ],\n            [\n              -111.654052734375,\n              36.72017310567465\n            ],\n            [\n              -111.61422729492188,\n              36.79169061907076\n            ],\n            [\n              -111.65679931640625,\n              36.801587788085314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":240661,"corporation":false,"usgs":true,"family":"Buscombe","given":"Daniel D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplinski, Matthew","contributorId":198818,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","affiliations":[],"preferred":false,"id":798655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazel, Joseph 0000-0003-0903-3397","orcid":"https://orcid.org/0000-0003-0903-3397","contributorId":189310,"corporation":false,"usgs":false,"family":"Hazel","given":"Joseph","affiliations":[],"preferred":false,"id":798656,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203265,"text":"70203265 - 2019 - A comparison of methods for streamflow uncertainty estimation","interactions":[],"lastModifiedDate":"2019-05-02T08:45:15","indexId":"70203265","displayToPublicDate":"2018-08-21T07:20:19","publicationYear":"2019","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":"A comparison of methods for streamflow uncertainty estimation","docAbstract":"<div class=\"article-section__content en main\"><p>Streamflow time series are commonly derived from stage‐discharge rating curves, but the uncertainty of the rating curve and resulting streamflow series are poorly understood. While different methods to quantify uncertainty in the stage‐discharge relationship exist, there is limited understanding of how uncertainty estimates differ between methods due to different assumptions and methodological choices. We compared uncertainty estimates and stage‐discharge rating curves from seven methods at three river locations of varying hydraulic complexity. Comparison of the estimated uncertainties revealed a wide range of estimates, particularly for high and low flows. At the simplest site on the Isère River (France), full width 95% uncertainties for the different methods ranged from 3 to 17% for median flows. In contrast, uncertainties were much higher and ranged from 41 to 200% for high flows in an extrapolated section of the rating curve at the Mahurangi River (New Zealand) and 28 to 101% for low flows at the Taf River (United Kingdom), where the hydraulic control is unstable at low flows. Differences between methods result from differences in the sources of uncertainty considered, differences in the handling of the time‐varying nature of rating curves, differences in the extent of hydraulic knowledge assumed, and differences in assumptions when extrapolating rating curves above or below the observed gaugings. Ultimately, the selection of an uncertainty method requires a match between user requirements and the assumptions made by the uncertainty method. Given the significant differences in uncertainty estimates between methods, we suggest that a clear statement of uncertainty assumptions be presented alongside streamflow uncertainty estimates.</p></div>","language":"English","publisher":"AGU","doi":"10.1029/2018WR022708","usgsCitation":"Kiang, J.E., Gazoorian, C.L., McMillan, H., Coxon, G., Le Coz, J., Westerberg, I., Belleville, A., Sevrez, D., Sikorska, A., Petersen-Overleir, A., Reitan, T., Freer, J., Renard, B., Mansanarez, V., and Mason,, R., 2019, A comparison of methods for streamflow uncertainty estimation: Water Resources Research, v. 54, no. 10, p. 7149-7176, https://doi.org/10.1029/2018WR022708.","productDescription":"28 p.","startPage":"7149","endPage":"7176","ipdsId":"IP-093972","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr022708","text":"Publisher Index Page"},{"id":363473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":761951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMillan, Hillary 0000-0002-9330-9730","orcid":"https://orcid.org/0000-0002-9330-9730","contributorId":215266,"corporation":false,"usgs":false,"family":"McMillan","given":"Hillary","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":761953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coxon, Gemma","contributorId":190753,"corporation":false,"usgs":false,"family":"Coxon","given":"Gemma","email":"","affiliations":[],"preferred":false,"id":761954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Coz, Jerome","contributorId":190746,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":761955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Westerberg, Ida","contributorId":190748,"corporation":false,"usgs":false,"family":"Westerberg","given":"Ida","email":"","affiliations":[],"preferred":false,"id":761956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belleville, Arnaud 0000-0002-0138-2392","orcid":"https://orcid.org/0000-0002-0138-2392","contributorId":215267,"corporation":false,"usgs":false,"family":"Belleville","given":"Arnaud","email":"","affiliations":[{"id":39219,"text":"EDF-DTG","active":true,"usgs":false}],"preferred":false,"id":761957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sevrez, Damien 0000-0001-7526-7867","orcid":"https://orcid.org/0000-0001-7526-7867","contributorId":215268,"corporation":false,"usgs":false,"family":"Sevrez","given":"Damien","email":"","affiliations":[{"id":39219,"text":"EDF-DTG","active":true,"usgs":false}],"preferred":false,"id":761958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sikorska, Anna 0000-0002-5273-1038","orcid":"https://orcid.org/0000-0002-5273-1038","contributorId":215269,"corporation":false,"usgs":false,"family":"Sikorska","given":"Anna","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":761959,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petersen-Overleir, Asgeir","contributorId":213625,"corporation":false,"usgs":false,"family":"Petersen-Overleir","given":"Asgeir","email":"","affiliations":[{"id":38825,"text":"Market Operations Hydrology, Statkraft Energi AS, Norway","active":true,"usgs":false}],"preferred":false,"id":761960,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reitan, Trond","contributorId":190750,"corporation":false,"usgs":false,"family":"Reitan","given":"Trond","email":"","affiliations":[],"preferred":false,"id":761961,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Freer, Jim","contributorId":190754,"corporation":false,"usgs":false,"family":"Freer","given":"Jim","email":"","affiliations":[],"preferred":false,"id":761962,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":761963,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mansanarez, Valentin","contributorId":190747,"corporation":false,"usgs":false,"family":"Mansanarez","given":"Valentin","email":"","affiliations":[],"preferred":false,"id":761964,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mason,, Robert R. 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,{"id":70202927,"text":"70202927 - 2019 - Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability","interactions":[],"lastModifiedDate":"2019-04-05T12:51:10","indexId":"70202927","displayToPublicDate":"2018-08-20T12:17:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability","docAbstract":"<p><span>Accelerating sea-level rise and human impacts to the coast (e.g., altered sediment supply and hydrology, nutrient loading) influence the accumulation of sediment and organic matter, and thereby impact the ability of coastal tidal wetlands to maintain an elevation consistently within the vegetation growth range. Critical components of marsh sustainability are the marsh elevation within the vegetation growth range (elevation capital) and the rates of marsh surface elevation change and relative sea-level rise. The relationship among these factors and their combined influence on marsh integrity were evaluated by comparing trends in surface elevation change on five salt marsh sites located on three marsh islands in Jamaica Bay, NY, USA. All marsh sites were located in a similar physical setting (i.e., tidal range, sea-level rise rate, sediment supply). The structural integrity of the marshes ranged from densely vegetated (high integrity) to severely deteriorated (low integrity) with elevation capital ranging from high to low, respectively, and included a deteriorating marsh site that was partially restored. Two marshes with high elevation capital maintained their relative position high within the tidal range through a combination of surface sediment deposition and shallow subsurface expansion, and kept pace with local sea-level rise. A marsh with moderate elevation capital showed signs of flooding stress and was deteriorating, but managed to keep pace with local sea-level rise. The deteriorated marsh gained no elevation over the 14-year study and was located too low within the tidal range to support continuous coverage of salt marsh vegetation. Elevation gain in the restored marsh initially lagged behind sea-level rise for 8&nbsp;years, but the elevation trend recovered and kept pace with sea-level rise for the last 5&nbsp;years. A conceptual model is presented that describes the relationship among elevation capital, and rates of marsh elevation gain and sea-level rise. Note that a search for factors influencing wetland loss should focus on process changes to marsh vertical development (e.g., sediment supply, vegetation growth) and climate change effects (e.g., sea-level and temperature rise) that can cause elevation gain to lag behind sea-level rise, and these occur prior to the onset of marsh deterioration.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0448-x","usgsCitation":"Cahoon, D.R., Lynch, J.C., Roman, C.T., Schmit, J.P., and Skidds, D.E., 2019, Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability: Estuaries and Coasts, v. 42, no. 1, p. 1-15, https://doi.org/10.1007/s12237-018-0448-x.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488794,"rank":0,"type":{"id":41,"text":"Open Access 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,{"id":70206990,"text":"70206990 - 2019 - Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India","interactions":[],"lastModifiedDate":"2019-12-03T08:31:39","indexId":"70206990","displayToPublicDate":"2018-08-18T08:24:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India","docAbstract":"Physical properties of the sediment directly overlying a gas hydrate reservoir provide important controls on the effectiveness of depressurizing that reservoir to extract methane from gas hydrate as an energy resource.  The permeability of overlying sediment determines if a gas hydrate reservoir’s upper contact will provide an effective seal that enables efficient reservoir depressurization.  Compressibility, stiffness and strength indicate how overlying sediment will deform as the in situ stress changes during production, providing engineering data for well designs.  Assessing these properties requires minimally-disturbed sediment.  India’s National Gas Hydrates Program Expedition 2 (NGHP-02) provided an opportunity to study these seal sediment properties, reducing disturbance from gas exsolution and bubble growth by collecting a pressure core from the seal sediment just above the primary gas hydrate reservoir at Site NGHP-02-08 in Area C of the Krishna-Godavari Basin.  The effective stress chamber (ESC) and the direct shear chamber (DSC) devices in the suite of Pressure Core Characterization Tools (PCCTs) were used to measure permeability, compressibility, stiffness and shear strength at the in situ vertical stress.  Geotechnical properties of the predominantly fine-grained seal layer at in situ vertical stress are in typical clay sediment ranges, with low measured permeability (0.02 mD), high compressibility (Cc = 0.26 – 0.33) and low shear strength (404 kPa).  Though pressure and temperature were maintained throughout the collection and measurement process to stabilize gas hydrate, the lack of effective stress in the pressure core storage chamber and the chamber pressurization with methane-free water caused core expansion and gas hydrate in a thin coarser-grained layer to dissolve.  The PCCTs can reapply in situ stress with incremental loading steps during a consolidation test to account for sediment compaction.  Gas hydrate dissolution can be limited by storing cores just above freezing temperatures, and by using solid spacers to reduce the storage chamber’s free volume.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.08.015","usgsCitation":"Jang, J., Dai, S., Yoneda, J., Waite, W., Stern, L.A., Boze, L., Collett, T.S., and Kumar, P., 2019, Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India: Marine and Petroleum Geology, v. 108, p. 537-550, https://doi.org/10.1016/j.marpetgeo.2018.08.015.","productDescription":"14 p.","startPage":"537","endPage":"550","ipdsId":"IP-097103","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jang, Junbong 0000-0001-5500-7558 jjang@usgs.gov","orcid":"https://orcid.org/0000-0001-5500-7558","contributorId":189400,"corporation":false,"usgs":true,"family":"Jang","given":"Junbong","email":"jjang@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dai, Sheng","contributorId":213194,"corporation":false,"usgs":false,"family":"Dai","given":"Sheng","email":"","affiliations":[{"id":38715,"text":"Georgia Institute of Technology, Atlanta, GA","active":true,"usgs":false}],"preferred":false,"id":776533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoneda, J.","contributorId":195813,"corporation":false,"usgs":false,"family":"Yoneda","given":"J.","email":"","affiliations":[],"preferred":false,"id":776534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":776536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boze, Lee-Gray 0000-0003-1853-7888 lboze@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-7888","contributorId":220996,"corporation":false,"usgs":true,"family":"Boze","given":"Lee-Gray","email":"lboze@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776538,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kumar, Pushpendra","contributorId":212239,"corporation":false,"usgs":false,"family":"Kumar","given":"Pushpendra","affiliations":[{"id":38465,"text":"Oil and Natural Gas Corp. Panvel, Navi Mumbai, India","active":true,"usgs":false}],"preferred":false,"id":776539,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227979,"text":"70227979 - 2019 - DNA mixtures for ecology","interactions":[],"lastModifiedDate":"2022-02-04T15:00:07.200552","indexId":"70227979","displayToPublicDate":"2018-08-16T16:25:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"DNA mixtures for ecology","docAbstract":"<ol class=\"\"><li>Mixtures of DNA from multiple contributors present a novel opportunity to count individuals to inform fish and wildlife ecology.</li><li>We apply a likelihood-based framework to estimate the number of contributors to a DNA mixture for ecological applications. We then assess the performance of DNA mixture estimation through a combination of simulation analyses, laboratory testing, and a field trial to estimate fish predation rates from stomach content analysis.</li><li>Simulations indicated reasonably sized genetic marker panels could estimate the number of contributors to mixtures comprised of up to 10 individuals, with potential to resolve larger mixtures with additional markers. Mixture estimates demonstrated robustness to common genotyping errors associated with fish and wildlife genetics applications. Laboratory trials demonstrated that DNA combined from multiple yellow perch (<i>Perca flavescens</i>) could be successfully genotyped with a 14-loci microsatellite panel and led to successful estimation for up to 5-contributor mixtures. Stomach content analysis with DNA mixtures indicated a 5-fold increase in estimated predation rates of yellow perch by largemouth bass (<i>Micropterus salmoides</i>) relative to conventional visual assessment of diet contents which can miss partially digested prey items.</li><li>DNA mixtures have potential to expand applications of count-based ecological analyses. Technical challenges in generating genotypes from DNA mixtures may initially limit their use, however, advances in next generation genotyping platforms are anticipated to surmount these obstacles. Chiefly, we envision opportunity for DNA mixtures to advance eDNA analysis beyond presence/absence based inference to enumeration of specimens.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13079","usgsCitation":"Sethi, S., Larson, W., Turnquist, K., and Isermann, D.A., 2019, DNA mixtures for ecology: Methods in Ecology and Evolution, p. 109-119, https://doi.org/10.1111/2041-210X.13079.","productDescription":"11 p.","startPage":"109","endPage":"119","ipdsId":"IP-096231","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468109,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13079","text":"Publisher Index Page"},{"id":395423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turnquist, Keith","contributorId":244569,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":833102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203655,"text":"70203655 - 2019 - Modeling golden eagle‐vehicle collisions to design mitigation strategies","interactions":[],"lastModifiedDate":"2019-05-30T15:13:10","indexId":"70203655","displayToPublicDate":"2018-08-16T15:10:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling golden eagle‐vehicle collisions to design mitigation strategies","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><div id=\"jwmg21527-sec-0001\" class=\"article-section__content\"><p>The incidental take of golden eagles (<i>Aquila chrysaetos</i>) as a result of wind energy development requires some form of compensatory mitigation. Although several options have been proposed, only one has been formerly accepted and implemented, and the lack of options can limit the permit process for wind facilities. We developed a model to estimate numbers of golden eagles that die when struck by vehicles when eagles scavenge road kill to evaluate removal of road‐killed carcasses as an additional mitigation option. Our model estimates vehicle collision rates as a function of eagle densities, road traffic volume, and animal carcass abundance at the scale of a Wyoming, USA, county during fall‐winter, and quantifies the effects of different mitigation strategies, including estimates of uncertainty. We evaluated the plausibility of our model estimates by predicting mortality rates for each county in Wyoming and comparing overall state mortality to current estimates of mortality using derived estimates from expert judgment. We also developed a context‐dependent analysis of potential mitigation credits controlling for carcass number, traffic volume, and background carcass removals. We found that mitigation credit should be highest in areas with greatest number of carcasses. Collision mitigation is a potentially useful addition to the mitigation toolbox for wind energy development or other activities that need to offset predicted golden eagle mortality and satisfy incidental take permit requirements.&nbsp;</p></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21527","usgsCitation":"Lonsdorf, E.V., Sanders-Reed, C.A., Boal, C.W., and Allison, T., 2019, Modeling golden eagle‐vehicle collisions to design mitigation strategies: Journal of Wildlife Management, v. 82, no. 8, https://doi.org/10.1002/jwmg.21527.","productDescription":"12 p.","startPage":"1644","ipdsId":"IP-070767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21527","text":"Publisher Index Page"},{"id":364259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[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 \"}}]}","volume":"82","issue":"8","edition":"1633","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lonsdorf, Eric V.","contributorId":149495,"corporation":false,"usgs":false,"family":"Lonsdorf","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":763453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders-Reed, Carol A.","contributorId":190247,"corporation":false,"usgs":false,"family":"Sanders-Reed","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":763454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":763455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allison, Taber","contributorId":146617,"corporation":false,"usgs":false,"family":"Allison","given":"Taber","affiliations":[],"preferred":false,"id":763456,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203045,"text":"70203045 - 2019 - Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","interactions":[],"lastModifiedDate":"2019-04-15T11:06:56","indexId":"70203045","displayToPublicDate":"2018-08-15T11:06:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","docAbstract":"Widespread hydrologic alteration creates a need for tools to assess ecological impacts to streams that can be applied across large geographic scales. A regional framework for biologically based flow management can help catchment managers prioritise streams for protection, evaluate impacts of disturbance or interventions and provide a starting point for causal assessment in degraded streams. However, lack of flow data limit the ability to assess hydrologic conditions across a region.\nHydrologic models can address this problem. Regionally calibrated hydrologic models were used to estimate current and reference flows at 572 bioassessment sites in southern and central coastal California. Flow alteration was characterised as the difference in 39 flow metrics calculated from simulations of present‐day and reference flow time‐series, calculated under up to four precipitation conditions.\nBiological condition was assessed with the California Stream Condition Index (CSCI) and its components. Logistic regressions were used to predict the likelihood of high scores (i.e. ≥10th percentile of the CSCI reference calibration data). Statistically significant relationships between increasing severity of hydrologic alteration and decreasing biological condition were used to set thresholds that reflected tolerance for risk of a stakeholder advisory group.\nAn index of hydrologic alteration was created by selecting flow metrics based on their importance for predicting biological response variables in boosted regression tree models. Metrics were selected in the order of decreasing importance, and no more than two metrics per metric class were selected (i.e. duration, frequency, magnitude, timing and variability). Seven metrics were selected: HighDur (duration of high‐flow events), HighNum (# of high‐flow events), NoDisturb (duration between high‐ or low‐flow events), MaxMonthQ (maximum monthly discharge), Q99 (99th percentile of daily streamflow), QmaxIDR (interdecile range of annual maxima) and RBI (Richards–Baker Index).\nApplying the index to data from a probabilistic survey, 34% of stream‐miles in southern California were estimated to be hydrologically altered. One of four management priorities were assigned to each site based on biological condition and hydrologic status: protection (healthy and unaltered, 52% of stream‐miles), monitoring (healthy but altered 4%), evaluation of flow management (unhealthy and altered, 30%) and evaluation of other management (unhealthy but unaltered, 14%).\nRegionally derived biologically based targets for flow alteration allow catchment managers to prioritise activities and conduct screenings for causal assessments across large spatial scales. Furthermore, regional tools pave the way for incorporation of hydrologic management in policies and catchment planning designed to support biological integrity in streams. Development of regional tools should be a priority where hydrologic alteration is pervasive or expected to increase in response to climate change or urbanisation.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13062","usgsCitation":"Mazor, R.D., May, J.T., Sengupta, A., McCune, K.S., Bledsoe, B.P., and Stein, E.D., 2019, Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health: Freshwater Biology, v. 63, no. 8, p. 786-803, https://doi.org/10.1111/fwb.13062.","productDescription":"18 p.","startPage":"786","endPage":"803","ipdsId":"IP-083790","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":362952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","edition":"Special","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazor, Raphael D.","contributorId":173011,"corporation":false,"usgs":false,"family":"Mazor","given":"Raphael","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":760925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sengupta, Ashmita","contributorId":214836,"corporation":false,"usgs":false,"family":"Sengupta","given":"Ashmita","email":"","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCune, Kenneth S.","contributorId":214837,"corporation":false,"usgs":false,"family":"McCune","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":760928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, Eric D.","contributorId":198848,"corporation":false,"usgs":false,"family":"Stein","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198661,"text":"70198661 - 2019 - Moving from generalisations to specificity about mangrove-saltmarsh dynamics","interactions":[],"lastModifiedDate":"2020-06-12T21:19:04.565098","indexId":"70198661","displayToPublicDate":"2018-08-14T13:58:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Moving from generalisations to specificity about mangrove-saltmarsh dynamics","docAbstract":"<p><span>Spatial and temporal variability in factors influencing mangrove establishment and survival affects the distribution of mangrove, particularly near their latitudinal limit, where mangrove expansion into saltmarsh is conspicuous. In this paper the spatial variability in mangrove distribution and variability in factors influencing mangrove establishment and survival during the Quaternary period are reviewed, focussing on research at latitudinal limits in Australia and mainland USA. Despite similarities in the response of mangrove to some drivers, the expression of these drivers is both spatially and temporally variable, demonstrating the need for analyses of mangrove-saltmarsh dynamics to move beyond generalisations and incorporate regional and local-scale specificity. We propose i) that precursory recognition that ‘correlation does not mean causation’ is inadequate and assumptions, caveats, and limitations should be clearly articulated in correlative studies; ii) experimental design in manipulative experiments must also articulate the spatial and temporal scale to which the analysis is relevant; and iii) analyses that draw from a range of methods will provide greater confidence. Integrated research programs that transect spatial and temporal scales and incorporate a range of techniques are essential to improve projections. Mangrove-saltmarsh distribution research should move beyond simple models that assume equilibrium between realised and fundamental niches.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1067-9","usgsCitation":"Rogers, K., and Krauss, K.W., 2019, Moving from generalisations to specificity about mangrove-saltmarsh dynamics: Wetlands, v. 39, p. 1155-1178, https://doi.org/10.1007/s13157-018-1067-9.","productDescription":"24 p.","startPage":"1155","endPage":"1178","ipdsId":"IP-087732","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":490052,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Moving_from_Generalisations_to_Specificity_about_Mangrove_-Saltmarsh_Dynamics/27781029","text":"External Repository"},{"id":356443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-06","publicationStatus":"PW","scienceBaseUri":"5b98a288e4b0702d0e842f41","contributors":{"authors":[{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":742384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":742383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205016,"text":"70205016 - 2019 - Airborne bacteria in Earth’s lower stratosphere resemble taxa detected in the troposphere: results from a new NASA aircraft bioaerosol collector (ABC)","interactions":[],"lastModifiedDate":"2023-11-27T14:47:05.833799","indexId":"70205016","displayToPublicDate":"2018-08-14T10:58:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Airborne bacteria in Earth’s lower stratosphere resemble taxa detected in the troposphere: results from a new NASA aircraft bioaerosol collector (ABC)","docAbstract":"<p><span>Airborne microorganisms in the upper troposphere and lower stratosphere remain elusive due to a lack of reliable sample collection systems. To address this problem, we designed, installed, and flight-validated a novel Aircraft Bioaerosol Collector (ABC) for NASA's C-20A that can make collections for microbiological research investigations up to altitudes of 13.7 km. Herein we report results from the first set of science flights—four consecutive missions flown over the United States (US) from 30 October to 2 November, 2017. To ascertain how the concentration of airborne bacteria changed across the tropopause, we collected air during aircraft&nbsp;</span><i>Ascent</i><span>/</span><i>Descent</i><span>&nbsp;(0.3 to 11 km), as well as sustained&nbsp;</span><i>Cruise</i><span>&nbsp;altitudes in the lower stratosphere (~12 km). Bioaerosols were captured on DNA-treated gelatinous filters inside a cascade air sampler, then analyzed with molecular and culture-based characterization. Several viable bacterial isolates were recovered from flight altitudes, including&nbsp;</span><i>Bacillus</i><span>&nbsp;sp.,&nbsp;</span><i>Micrococcus</i><span>&nbsp;sp.,&nbsp;</span><i>Arthrobacter</i><span>&nbsp;sp., and&nbsp;</span><i>Staphylococcus</i><span>&nbsp;sp. from Cruise samples and&nbsp;</span><i>Brachybacterium</i><span>&nbsp;sp. from Ascent/Descent samples. Using 16S V4 sequencing methods for a culture-independent analysis of bacteria, the average number of total OTUs was 305 for Cruise samples and 276 for Ascent/Descent samples. Some taxa were more abundant in the flight samples than the ground samples, including OTUs from families&nbsp;</span><i>Lachnospiraceae, Ruminococcaceae</i><span>&nbsp;and&nbsp;</span><i>Erysipelotrichaceae</i><span>&nbsp;as well as the following genera:&nbsp;</span><i>Clostridium, Mogibacterium, Corynebacterium, Bacteroides, Prevotella, Pseudomonas</i><span>, and&nbsp;</span><i>Parabacteroides</i><span>. Surprisingly, our results revealed a homogeneous distribution of bacteria in the atmosphere up to 12 km. The observation could be due to atmospheric conditions producing similar background aerosols across the western US, as suggested by modeled back trajectories and satellite measurements. However, the influence of aircraft-associated bacterial contaminants could not be fully eliminated and that background signal was reported throughout our dataset. Considering the tremendous engineering challenge of collecting biomass at extreme altitudes where contamination from flight hardware remains an ever-present issue, we note the utility of using the stratosphere as a proving ground for planned life detection missions across the solar system.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2018.01752","usgsCitation":"David J. Smith, Ravichandar, J.D., Jain, S., Griffin, D.W., Yu, H., Tan, Q., Thissen, J., Lusby, T., Nicoll, P., Shedler, S., Martinez, P., Osorio, A., Lechniak, J., Choi, S., Sabino, K., Iverson, K., Chan, L., Jaing, C., and McGrath, J., 2019, Airborne bacteria in Earth’s lower stratosphere resemble taxa detected in the troposphere: results from a new NASA aircraft bioaerosol collector (ABC): Frontiers in Microbiology, v. 9, 1752, 20 p., https://doi.org/10.3389/fmicb.2018.01752.","productDescription":"1752, 20 p.","ipdsId":"IP-097097","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468111,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2018.01752","text":"Publisher Index Page"},{"id":367005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.51904296875,\n              32.63937487360669\n            ],\n            [\n              -111.0498046875,\n              32.63937487360669\n            ],\n            [\n              -111.0498046875,\n              41.52502957323801\n            ],\n            [\n              -124.51904296875,\n              41.52502957323801\n            ],\n            [\n              -124.51904296875,\n              32.63937487360669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"David J. Smith","contributorId":218567,"corporation":false,"usgs":false,"family":"David J. Smith","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":769561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ravichandar, Jayamary D.","contributorId":218577,"corporation":false,"usgs":false,"family":"Ravichandar","given":"Jayamary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":769562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jain, Sunit","contributorId":218578,"corporation":false,"usgs":false,"family":"Jain","given":"Sunit","email":"","affiliations":[],"preferred":false,"id":769563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yu, Hongbin","contributorId":218579,"corporation":false,"usgs":false,"family":"Yu","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":769564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tan, Qian","contributorId":218580,"corporation":false,"usgs":false,"family":"Tan","given":"Qian","email":"","affiliations":[],"preferred":false,"id":769565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thissen, James","contributorId":218581,"corporation":false,"usgs":false,"family":"Thissen","given":"James","email":"","affiliations":[],"preferred":false,"id":769606,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lusby, Terry","contributorId":218582,"corporation":false,"usgs":false,"family":"Lusby","given":"Terry","email":"","affiliations":[],"preferred":false,"id":769577,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nicoll, Patrick","contributorId":218583,"corporation":false,"usgs":false,"family":"Nicoll","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":769566,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shedler, Sarah","contributorId":218584,"corporation":false,"usgs":false,"family":"Shedler","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":769567,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Martinez, P.","contributorId":38706,"corporation":false,"usgs":true,"family":"Martinez","given":"P.","email":"","affiliations":[],"preferred":false,"id":769568,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Osorio, Alejandro","contributorId":218585,"corporation":false,"usgs":false,"family":"Osorio","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":769569,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lechniak, Jason","contributorId":218586,"corporation":false,"usgs":false,"family":"Lechniak","given":"Jason","email":"","affiliations":[],"preferred":false,"id":769570,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Choi, Samuel","contributorId":218587,"corporation":false,"usgs":false,"family":"Choi","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":769571,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sabino, Kayleen","contributorId":218588,"corporation":false,"usgs":false,"family":"Sabino","given":"Kayleen","email":"","affiliations":[],"preferred":false,"id":769572,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Iverson, Kathryn","contributorId":218589,"corporation":false,"usgs":false,"family":"Iverson","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":769573,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chan, Luisa","contributorId":218590,"corporation":false,"usgs":false,"family":"Chan","given":"Luisa","email":"","affiliations":[],"preferred":false,"id":769574,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jaing, Crystal","contributorId":218591,"corporation":false,"usgs":false,"family":"Jaing","given":"Crystal","email":"","affiliations":[],"preferred":false,"id":769575,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McGrath, John","contributorId":218592,"corporation":false,"usgs":false,"family":"McGrath","given":"John","email":"","affiliations":[],"preferred":false,"id":769576,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70218673,"text":"70218673 - 2019 - Nesting ecology of a naturalized population of Mallards Anas platyrhynchos in New Zealand","interactions":[],"lastModifiedDate":"2021-03-04T19:28:06.447338","indexId":"70218673","displayToPublicDate":"2018-08-13T13:23:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Nesting ecology of a naturalized population of Mallards Anas platyrhynchos in New Zealand","docAbstract":"<p><span>Investigating the reproductive ecology of naturalized species provides insights into the role of the source population's characteristics vs. post‐release adaptation that influence the success of introduction programmes. Introduced and naturalized Mallards&nbsp;</span><i>Anas platyrhynchos</i><span>&nbsp;are widely established in New Zealand (NZ), but little is known regarding their reproductive ecology. We evaluated the nesting ecology of female Mallards at two study sites in NZ (Southland and Waikato) in 2014–15. We radiotagged 241 pre‐breeding females with abdominal‐implant transmitters and measured breeding incidence, nesting chronology and re‐nesting propensity. We monitored 271 nests to evaluate nest survival, clutch and egg size, egg hatchability and partial clutch depredation. Breeding incidence averaged (mean&nbsp;±&nbsp;se) 0.91&nbsp;±&nbsp;0.03, clutch size averaged 9.9&nbsp;±&nbsp;0.1 eggs, 94&nbsp;±&nbsp;2% of eggs hatched in successful nests, partial depredation affected 6&nbsp;±&nbsp;1% of eggs in clutches that were not fully destroyed by predators, and re‐nesting propensity following failure of nests or broods was 0.50&nbsp;±&nbsp;0.003. Nesting season (first nest initiated to last nest hatched) lasted 4.5&nbsp;months and mean initiation date of first detected nest attempts was 28 August&nbsp;±&nbsp;3.3&nbsp;days. Smaller females were less likely to nest, but older, larger or better condition females nested earlier, re‐nested more often and laid larger clutches than did younger, smaller or poorer condition females. Younger females in Southland had higher nest survival; cumulative nest survival ranged from 0.25&nbsp;±&nbsp;0.007 for adult females in Waikato to 0.50&nbsp;±&nbsp;0.007 for yearling females in Southland. Compared with Mallards in their native range, the nesting season in NZ was longer, clutches and eggs were larger, and nest survival was generally greater. Different predators and climate, introgression with native heterospecifics and/or the sedentary nature of Mallards in NZ may have contributed to these differences.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12656","usgsCitation":"Sheppard, J.L., Amundson, C.L., Arnold, T.W., and Klee, D., 2019, Nesting ecology of a naturalized population of Mallards Anas platyrhynchos in New Zealand: Ibis, v. 161, no. 34, p. 504-520, https://doi.org/10.1111/ibi.12656.","productDescription":"17 p.","startPage":"504","endPage":"520","ipdsId":"IP-091679","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":383828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"New Zealand\"}}]}","volume":"161","issue":"34","noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Sheppard, Jennifer L.","contributorId":253489,"corporation":false,"usgs":false,"family":"Sheppard","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":811323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":811324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":811325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klee, David","contributorId":201217,"corporation":false,"usgs":false,"family":"Klee","given":"David","email":"","affiliations":[],"preferred":false,"id":811326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206275,"text":"70206275 - 2019 - Demographic consequences of conservation reserve program grasslands for lesser prairie‐chickens","interactions":[],"lastModifiedDate":"2019-10-29T07:52:06","indexId":"70206275","displayToPublicDate":"2018-08-13T07:50:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Demographic consequences of conservation reserve program grasslands for lesser prairie‐chickens","docAbstract":"Knowledge of landscape and regional circumstances where conservation programs are successful on working lands in agricultural production are needed. Converting marginal croplands to grasslands using conservation programs such as the United States Department of Agriculture Conservation Reserve Program (CRP) should be beneficial for many grassland‐obligate wildlife species; however, addition of CRP grasslands may result in different population effects based on regional climate, characteristics of the surrounding landscape, or species planted or established. Within landscapes occupied by lesser prairie‐chickens (Tympanuchus pallidicinctus), CRP may provide habitat only for specific life stages and habitat selection for CRP may vary between wet and dry years. Among all study sites, we captured and fitted 280 female lesser prairie‐chickens with very high frequency (VHF)‐ and global positioning system (GPS) transmitters during the spring lekking seasons of 2013–2015 to monitor habitat selection for CRP in regions of varying climate. We also estimated vital rates and habitat selection for 148 individuals, using sites in northwest Kansas, USA. The greatest ecological services of CRP became apparent when examining habitat selection and densities. Nest densities were approximately 3 times greater in CRP grasslands than native working grasslands (i.e., grazed), demonstrating a population‐level benefit (CRP = 6.0 nests/10 km2 ± 1.29 [SE], native working grassland = 1.7 nests/10 km2 ± 0.62). However, CRP supporting high nest density did not provide brood habitat; 85% of females with broods surviving to 7 days moved their young to other cover types. Regression analyses indicated lesser prairie‐chickens were approximately 8 times more likely to use CRP when 5,000‐ha landscapes were 70% rather than 20% grassland, indicating variation in the level of ecological services provided by CRP was dependent upon composition of the larger landscape. Further, CRP grasslands were 1.7 times more likely to be used by lesser prairie‐chickens in regions receiving 40 cm compared to 70 cm of average annual precipitation and during years of greater drought intensity. Demographic and resource selection analyses revealed that establishing CRP grasslands in northwest Kansas can increase the amount nesting habitat in a region where it may have previously been limited, thereby providing refugia to sustain populations through periods of extreme drought. Nest survival, adult survival during breeding, and nonbreeding season survival did not vary between lesser prairie‐chickens that used and did not use CRP grasslands. The finite rate of population growth was also similar for birds using CRP and using only native working grasslands, suggesting that CRP provides habitat similar to that of native working grassland in this region. Overall, lesser prairie‐chickens may thrive in landscapes that are a mosaic of native working grassland, CRP grassland, with a minimal amount of cropland, particularly when nesting and brood habitat are in close proximity.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21553","usgsCitation":"Haukos, D.A., 2019, Demographic consequences of conservation reserve program grasslands for lesser prairie‐chickens: Journal of Wildlife Management, v. 82, no. 8, p. 1617-1632, https://doi.org/10.1002/jwmg.21553.","productDescription":"16 p.","startPage":"1617","endPage":"1632","ipdsId":"IP-088492","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468112,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99228","text":"External Repository"},{"id":368687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":774051,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70238137,"text":"70238137 - 2019 - Influence of extreme and annual floods on point-bar sedimentation: Inferences from Powder River, Montana, USA","interactions":[],"lastModifiedDate":"2022-11-14T12:47:32.289225","indexId":"70238137","displayToPublicDate":"2018-08-08T06:43:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Influence of extreme and annual floods on point-bar sedimentation: Inferences from Powder River, Montana, USA","docAbstract":"<div id=\"119615614\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>Effects of discharge variability on point-bar sedimentation are not well documented, although resulting changes in flow patterns are well known. This paper focuses on a meander of Powder River in Montana (USA). In May 1978, Powder River had a 50-year recurrence flood, which caused outer bank retreat of ∼70 m. This bank continued to retreat over ∼40 m in response to annual floods between 1979 and 2016. A trench, up to 2 m deep and 60 m long, was excavated in 2016 through the axial point-bar deposits accumulated during and since the 1978 flood. Deposits from the extreme 1978 flood consisted of stratified, coarsening-upward pebbles with subordinate sand, and show paleoflow toward the outer bank. Deposits accreted during subsequent annual floods consist of fining-upward, medium to fine sand with subordinate mud and gravel. These deposits contain sedimentary structures indicating transport from the channel up the bar. Field observations indicate that during extreme floods, the axial part of the bar was armored by coarsening-upward gravels and not affected by secondary helical circulation. In contrast, during annual floods, armoring was not observed and most of the flow was directed up the sloping point-bar surface, indicating secondary circulation near the bend apex. This paper shows that the area affected by the secondary helical circulation shifts downstream and upstream of the bend apex during extreme and annual floods, respectively. This causes significant changes in grain size and sedimentary facies distribution in point-bar deposits, which should be considered when analyzing meandering-river deposits in the ancient sedimentary record.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31990.1","usgsCitation":"Ghinasse, M., Moody, J.A., and Martin, D., 2019, Influence of extreme and annual floods on point-bar sedimentation: Inferences from Powder River, Montana, USA: GSA Bulletin, v. 131, no. 1-2, p. 71-83, https://doi.org/10.1130/B31990.1.","productDescription":"13 p.","startPage":"71","endPage":"83","ipdsId":"IP-092970","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":409320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Powder River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.1060780230682,\n              44.99730993309305\n            ],\n            [\n              -105.34780716843096,\n              44.99730993309305\n            ],\n            [\n              -105.34780716843096,\n              45.476708847648894\n            ],\n            [\n              -106.1060780230682,\n              45.476708847648894\n            ],\n            [\n              -106.1060780230682,\n              44.99730993309305\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"131","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2018-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghinasse, M.","contributorId":299065,"corporation":false,"usgs":false,"family":"Ghinasse","given":"M.","email":"","affiliations":[{"id":17793,"text":"University of Padova, Italy","active":true,"usgs":false}],"preferred":false,"id":856969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":856970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Deborah A. 0000-0001-8237-0838","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":244709,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856971,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198554,"text":"70198554 - 2019 - Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, 15N-[RDX]","interactions":[],"lastModifiedDate":"2018-08-07T16:02:29","indexId":"70198554","displayToPublicDate":"2018-08-06T16:02:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, <sup>15</sup>N-[RDX]","title":"Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, 15N-[RDX]","docAbstract":"<p><span>Coastal&nbsp;marine habitats&nbsp;become contaminated with the munitions constituent, Hexahydro-1,3,5-trinitro-1,3,5-trazine (RDX), via military training, weapon testing and leakage of unexploded ordnance. This study used&nbsp;</span><sup>15</sup><span>N labeled RDX in simulated aquarium-scale coastal marine habitat containing seawater, sediment, and biota to track removal pathways from surface water including&nbsp;sorption&nbsp;onto particulates, degradation to nitroso-triazines and mineralization to&nbsp;dissolved inorganic nitrogen&nbsp;(DIN). The two aquaria received continuous RDX inputs to maintain a steady state concentration (0.4 mg L</span><sup>−1</sup><span>) over 21 days. Time series RDX and nitroso-triazine concentrations in dissolved (surface and porewater) and sorbed phases (sediment and suspended particulates) were analyzed. Distributions of DIN species (ammonium, nitrate + nitrite&nbsp;and dissolved N</span><sub>2</sub><span>) in sediments and overlying water were also measured along with geochemical variables in the aquaria. Partitioning of RDX and RDX-derived breakdown products onto surface sediment represented 13% of the total added&nbsp;</span><sup>15</sup><span>N as RDX (</span><sup>15</sup><span>N-[RDX]) equivalents after 21 days. Measured nitroso-triazines in the aquaria accounted for 6–13% of total added&nbsp;</span><sup>15</sup><span>N-[RDX].&nbsp;</span><sup>15</sup><span>N-labeled DIN was found both in the oxic surface water and hypoxic porewaters, showing that RDX mineralization accounted for 34% of the&nbsp;</span><sup>15</sup><span>N-[RDX] added to the aquaria over 21 days. Labeled&nbsp;ammonium&nbsp;(</span><sup>15</sup><span>NH</span><sub>4</sub><sup>+</sup><span>, found in sediment and overlying water) and nitrate + nitrite (</span><sup>15</sup><span>NO</span><sub>X</sub><span>, found in overlying water only) together represented 10% of the total added&nbsp;</span><sup>15</sup><span>N-[RDX]. The production of&nbsp;</span><sup>15</sup><span>N labeled N</span><sub>2</sub><span>(</span><sup>15</sup><span>N</span><sub>2</sub><span>), accounted for the largest individual sink during the transformation of the total added&nbsp;</span><sup>15</sup><span>N-[RDX] (25%). Hypoxic sediment was the most favorable zone for production of N</span><sub>2</sub><span>, most of which diffused through porous sediments into the water column and escaped to the atmosphere.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.07.404","usgsCitation":"Ariyarathna, T., Ballentine, M., Vlahos, P., Smith, R.W., Cooper, C., Bohlke, J., Fallis, S., Groshens, T.J., and Tobias, C.R., 2019, Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, 15N-[RDX]: Science of the Total Environment, v. 647, p. 369-378, https://doi.org/10.1016/j.scitotenv.2018.07.404.","productDescription":"10 p.","startPage":"369","endPage":"378","ipdsId":"IP-097802","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.07.404","text":"Publisher Index Page"},{"id":356310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"647","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3bbe4b0f5d57878e8cf","contributors":{"authors":[{"text":"Ariyarathna, Thivanka","contributorId":191278,"corporation":false,"usgs":false,"family":"Ariyarathna","given":"Thivanka","email":"","affiliations":[],"preferred":false,"id":741885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballentine, Mark","contributorId":191279,"corporation":false,"usgs":false,"family":"Ballentine","given":"Mark","email":"","affiliations":[],"preferred":false,"id":741886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":741887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard W.","contributorId":191276,"corporation":false,"usgs":false,"family":"Smith","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":741888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, Christopher","contributorId":191280,"corporation":false,"usgs":false,"family":"Cooper","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":741889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":741884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fallis, Stephen","contributorId":191281,"corporation":false,"usgs":false,"family":"Fallis","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":741890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groshens, Thomas J.","contributorId":191282,"corporation":false,"usgs":false,"family":"Groshens","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741891,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tobias, Craig R.","contributorId":194058,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741892,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70198482,"text":"70198482 - 2019 - Phenology of hatching, emergence, and end-of-season body size in young-of-year Coho Salmon in thermally contrasting streams draining the Copper River Delta, Alaska  ","interactions":[],"lastModifiedDate":"2019-02-11T15:15:35","indexId":"70198482","displayToPublicDate":"2018-08-06T12:33:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Phenology of hatching, emergence, and end-of-season body size in young-of-year Coho Salmon in thermally contrasting streams draining the Copper River Delta, Alaska  ","docAbstract":"<p><span>Phenology can be linked to individual fitness, particularly in strongly seasonal environments where the timing of events have important consequences for growth, condition, and survival. We studied the phenology of Coho Salmon hatching and emergence in streams with contrasting thermal variability, but in close geographic proximity. Following emergence, we tracked body sizes of cohorts of young-of-year fish until the end of the growing season. Hatch and emergence timing occurred at the same time among streams with marked variability in thermal regimes. We demonstrate that this can be explained in part by the thermal units accumulated during embryo development. At the end of the first growing season there were some differences in body size, however overall fish size among streams were similar despite strong differences in thermal regimes. Collectively these results provide novel insights into the interactions between environmental variability and the early life-history stages of Coho Salmon furthering our understanding of the consequences of phenology on growth and survival for individuals within the critical first summer of life.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0003","usgsCitation":"Campbell, E.Y., Dunham, J.B., Reeves, G.H., and Wondzell, S.M., 2019, Phenology of hatching, emergence, and end-of-season body size in young-of-year Coho Salmon in thermally contrasting streams draining the Copper River Delta, Alaska  : Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 2, p. 185-191, https://doi.org/10.1139/cjfas-2018-0003.","productDescription":"7 p.","startPage":"185","endPage":"191","ipdsId":"IP-084964","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":501355,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/90589","text":"External Repository"},{"id":356192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Copper River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -145.67,\n              60.33\n            ],\n            [\n              -145,\n              60.33\n            ],\n            [\n              -145,\n              60.67\n            ],\n            [\n              -145.67,\n              60.67\n            ],\n            [\n              -145.67,\n              60.33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3dbe4b0f5d57878e909","contributors":{"authors":[{"text":"Campbell, Emily Y.","contributorId":206748,"corporation":false,"usgs":false,"family":"Campbell","given":"Emily","email":"","middleInitial":"Y.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":741623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":741624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wondzell, Steve M.","contributorId":206749,"corporation":false,"usgs":false,"family":"Wondzell","given":"Steve","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":741625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203087,"text":"70203087 - 2019 - Herring Disease Program, February 1, 2018 - January 31, 2019","interactions":[],"lastModifiedDate":"2019-05-15T13:58:29","indexId":"70203087","displayToPublicDate":"2018-08-03T13:56:08","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Herring Disease Program, February 1, 2018 - January 31, 2019","docAbstract":"This report describes our laboratory and field results for the period February 1, 2018-January 31, 2019.","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","collaboration":"Exxon Valdez Oil Spill Council","usgsCitation":"Hershberger, P., and Purcell, M., 2019, Herring Disease Program, February 1, 2018 - January 31, 2019, 26 p.","productDescription":"26 p.","startPage":"1","endPage":"26","ipdsId":"IP-105694","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":363905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363031,"type":{"id":15,"text":"Index Page"},"url":"https://www.evostc.state.ak.us/Store/AnnualReports/2018-18120111E-Annual.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hershberger, Paul","contributorId":214901,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, Maureen","contributorId":214902,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204440,"text":"70204440 - 2019 - Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley","interactions":[],"lastModifiedDate":"2019-07-26T10:25:40","indexId":"70204440","displayToPublicDate":"2018-08-01T12:54:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley","docAbstract":"Context Management of wintering waterfowl in North America requires adaptability because constant landscape and environmental change challenges existing management strategies regarding waterfowl habitat use at large spatial scales. Migratory waterfowl including mallards (Anas platyrhynchos) use the lower Mississippi Alluvial Valley (MAV) for wintering habitat, making this an important area of emphasis for improving wetland conservation strategies, while enhancing the understanding of landscape-use patterns.\nObjectives We used aerial survey data collected in the Arkansas portion of the MAV (ARMAV) to explain the abundance and distribution of mallards in relation to variable landscape conditions.\nMethods We used two-stage, hierarchical spatio-temporal models with a random spatial effect to identify covariates related to changes in mallard abundance and distribution within and among years.\nResults We found distinct spatio-temporal patterns existed for mallard distributions across the ARMAV and these distributions are dependent on the surrounding landscape structure and changing environmental conditions. Models performing best indicated seasonal surface water extent, rice field, wetland and fallow (uncultivated) field abundance positively influenced mallard distribution. Rice fields, surface water and weather were found to influence mallard abundance. Additionally, are results suggest weather and changing surface water affects mallard presence and abundance throughout the winter, because the probability of mallard presence and abundance changed from the northern ARMAV in November to the southern ARMAV in January.  \nConclusions Using novel datasets to identify which environmental factors drive changes in regional wildlife distribution and abundance can improve management by providing managers additional information to manage land over landscapes spanning private and public lands. We suggest our analytical approach may be informative in other areas and for other wildlife species.","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0671-7","usgsCitation":"Herbert, J.A., Chakraborty, A., Naylor, L.W., Beattty, W.S., and Krementz, D.G., 2019, Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley: Landscape Ecology, v. 33, no. 8, p. 1319-1334, https://doi.org/10.1007/s10980-018-0671-7.","productDescription":"16 p.","startPage":"1319","endPage":"1334","ipdsId":"IP-083954","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":365952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":766918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beattty, William S.","contributorId":217506,"corporation":false,"usgs":false,"family":"Beattty","given":"William","email":"","middleInitial":"S.","affiliations":[{"id":36209,"text":"U.S. FWS","active":true,"usgs":false}],"preferred":false,"id":766919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":766915,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204460,"text":"70204460 - 2019 - Capture versus tagging impacts on chum salmon freshwater spawning migration travel times","interactions":[],"lastModifiedDate":"2019-07-25T12:03:39","indexId":"70204460","displayToPublicDate":"2018-08-01T12:02:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Capture versus tagging impacts on chum salmon freshwater spawning migration travel times","docAbstract":"The spawning migration travel times of chum salmon, Oncorhynchus keta (Walbaum), fitted with gastrically implanted radio tags vs external spaghetti tags were tested for a short [≈60 river km (rkm)] and long migration route (≈730 rkm) on the Koyukuk River, Alaska, USA. Using a novel application of statistical arrival curve models to infer travel times for uncaptured fish, migrations by chum salmon not directly handled during the study were also assessed. Results demonstrated negligible differences in travel times within migration routes between fish fitted only with spaghetti tags and fish fitted with radio tags, indicating low impacts on migration travel behaviour associated with gastric tags once deployed. Conversely, travel times for unhandled fish as inferred by statistical arrival models may have been 12%–24% shorter than those for fish captured with gillnets for tagging. These results suggest that, if present, chum salmon migration behaviour impacts may be more strongly associated with fish capture than tag deployment.","language":"English","publisher":"Wiley","doi":"10.1111/fme.12294","usgsCitation":"Sethi, S., 2019, Capture versus tagging impacts on chum salmon freshwater spawning migration travel times: Fisheries Management and Ecology, v. 25, no. 4, p. 296-303, https://doi.org/10.1111/fme.12294.","productDescription":"8 p.","startPage":"296","endPage":"303","ipdsId":"IP-084183","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":365940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":767017,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203204,"text":"70203204 - 2019 - Recent advances in environmental flows science and water management—Innovation in the Anthropocene","interactions":[],"lastModifiedDate":"2019-04-29T08:36:56","indexId":"70203204","displayToPublicDate":"2018-08-01T08:36:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Recent advances in environmental flows science and water management—Innovation in the Anthropocene","docAbstract":"<ol class=\"\"><li>The implementation of environmental flow regimes offers a promising means to protect and restore riverine, wetland and estuarine ecosystems, their critical environmental services and cultural/societal values.</li><li>This Special Issue expands the scope of environmental flows and water science in theory and practice, offering 20 papers from academics, agency researchers and non‐governmental organisations, each with fresh perspectives on the science and management of environmental water allocations.</li><li>Contributions confront the grand challenge for environmental flows and water management in the Anthropocene—the urgent need for innovations that will help to sustain the innate resilience of social–ecological systems under dynamic and uncertain environmental and societal futures.</li><li>Basin‐scale and regional assessments of flow requirements mark a necessary advance in environmental water science in the face of rapid changes in water‐resource management activities worldwide (e.g. increases in dams, diversions, retention and reuse). Techniques for regional‐scale hydrological and ecohydrological modelling support ecological risk assessment and identification of priority flow management and river restoration actions.</li><li>Changing flood–drought cycles, long‐term climatic shifts and associated effects on hydrological, thermal and water quality regimes add enormous uncertainty to the prediction of future ecological outcomes, regardless of environmental water allocations. An improved capacity to predict the trajectories of ecological change in rivers degraded by legacies of past impact interacting with current conditions and future climate change is essential. Otherwise, we risk unrealistic expectations from restoration of river and estuarine flow regimes.</li><li>A more robust, dynamic and predictive approach to environmental water science is emerging. It encourages the measurement of process rates (e.g. birth rate, colonisation rate) and species traits (e.g. physiological requirements, morphological adaptations) as well as ecosystem states (e.g. species richness, assemblage structure), as the variables representing ecological responses to flow variability and environmental water allocations. Another necessary development is the incorporation of other environmental variables such as water temperature and sedimentary processes in flow–ecological response models.</li><li>Based on contributions to this Special Issue, several recent compilations and the wider literature, we identify six major scientific challenges for further exploration, and seven themes for advancing the management of environmental water. We see the emerging frontier of environmental flows and water science as urgent and challenging, with numerous opportunities for reinvigorated science and methodological innovation in the expanding enterprise of environmental water linked to ecological sustainability and social well‐being.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13108","usgsCitation":"Angela H Arthington, Kennen, J., Eric D. Stein, and J. Angus Webb, 2019, Recent advances in environmental flows science and water management—Innovation in the Anthropocene: Freshwater Biology, v. 63, no. 8, p. 1022-1034, https://doi.org/10.1111/fwb.13108.","productDescription":"13 p.","startPage":"1022","endPage":"1034","ipdsId":"IP-091888","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":468113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.13108","text":"Publisher Index Page"},{"id":363284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Angela H Arthington","contributorId":215103,"corporation":false,"usgs":false,"family":"Angela H Arthington","affiliations":[{"id":39176,"text":"Australian Rivers Institute, Griffith University, Nathan, Queensland 4111, Australia","active":true,"usgs":false}],"preferred":false,"id":761637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan","contributorId":215102,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eric D. Stein","contributorId":215089,"corporation":false,"usgs":false,"family":"Eric D. Stein","affiliations":[{"id":39174,"text":"Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, CA  92626-1437, United States","active":true,"usgs":false}],"preferred":false,"id":761638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"J. Angus Webb","contributorId":215090,"corporation":false,"usgs":false,"family":"J. Angus Webb","affiliations":[{"id":39175,"text":"The University of Melbourne, Department of Infrastructure Engineering, Parkville 3010, Australia","active":true,"usgs":false}],"preferred":false,"id":761639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205643,"text":"70205643 - 2019 - The multiple-comparison trap and the Raven’s paradox—perils of using null hypothesis testing in environmental assessment","interactions":[],"lastModifiedDate":"2019-10-02T16:41:59","indexId":"70205643","displayToPublicDate":"2018-07-31T11:02:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"The multiple-comparison trap and the Raven’s paradox—perils of using null hypothesis testing in environmental assessment","docAbstract":"Detecting and quantifying environmental thresholds is frequently an important step in understanding ecological responses to environmental stressors. We discuss two statistical issues often encountered in threshold detection and quantification when statistical null hypothesis testing is used as a main analytical tool.The hidden multiple-comparison trap (leading to a much higher risk of a false detection) and Raven’s paradox(rendering a \"detection\" meaningless) are often obscured when statistical hypothesis testing is used as part of a more elaborate model, especially models based on computer-intensive methods. Using two examples, we show that the hidden multiple-comparison trap can be exposed using computer simulation to estimate the probability of making a false detection; Raven’s paradox can be avoided by clearly stating the null and alternative hypotheses using scientific terms to substantiate that the rejection of the null is equivalent to proving that the alternative of interest is true. The hidden multiple-comparison trap implies that a null hypothesis testing based on a computer-intensive method should be used with caution. The implication of Raven’s paradox re-quires that we focus on providing evidence supporting the proposed hypothesis or model, rather than seeking evidence against the frequently irrelevant null hypothesis. These two problems, and many others related to null hypothesis testing, suggest that statistical hypothesis testing should be used only as a component of the body of evidence, perhaps, as the devil’s advocate.","language":"English","publisher":"Springer International Publishing AG","doi":"10.1007/s10661-018-6793-1","usgsCitation":"Qian, S.S., and Cuffney, T.F., 2019, The multiple-comparison trap and the Raven’s paradox—perils of using null hypothesis testing in environmental assessment: Environmental Monitoring and Assessment, v. 190, no. 7, 409, 9 p., https://doi.org/10.1007/s10661-018-6793-1.","productDescription":"409, 9 p.","onlineOnly":"N","ipdsId":"IP-083969","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":367915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"190","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":771962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":205649,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227865,"text":"70227865 - 2019 - Early mortality and freshwater forage fish recruitment: Nonnative alewife and native rainbow smelt interactions in Lake Champlain","interactions":[],"lastModifiedDate":"2022-02-01T21:29:03.146121","indexId":"70227865","displayToPublicDate":"2018-07-30T16:28:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Early mortality and freshwater forage fish recruitment: Nonnative alewife and native rainbow smelt interactions in Lake Champlain","docAbstract":"<p>We studied the consequences of a nonnative species introduction and changes in temperature on early mortality and recruitment of native rainbow smelt (<i>Osmerus mordax</i>) and nonnative alewife (<i>Alosa pseudoharengus</i>) in Lake Champlain using a simulation model. Distribution patterns of adults and young-of-the-year (YOY) fish were predicted using a model based on observed distribution of different age groups as a function of temperature and light profiles simulated on a daily basis. Mortality rates averaged over the growing season were calculated as a function of fish densities and overlap between adults and YOY. Survival of YOY rainbow smelt and alewife depended on which predator was most abundant. Rainbow smelt YOY mortality rates are highest when rainbow smelt adults are abundant, and alewife YOY mortality rates are highest when alewife adults are abundant, potentially allowing coexistence. August and September mortality rates were higher in the climate change scenario because of increased overlap of adults and YOY of both species. These results indicate that accounting for spatiotemporal fish distribution patterns can be important when forecasting the interacting effects of climate change and aquatic invasive species on fish recruitment.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0571","usgsCitation":"Simonin, P.W., Rudstam, L.G., Sullivan, P., Parrish, D.L., and Pientka, B., 2019, Early mortality and freshwater forage fish recruitment: Nonnative alewife and native rainbow smelt interactions in Lake Champlain: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 5, p. 806-814, https://doi.org/10.1139/cjfas-2017-0571.","productDescription":"9 p.","startPage":"806","endPage":"814","ipdsId":"IP-093462","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468114,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2017-0571","text":"External Repository"},{"id":395247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Quebec, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.54248046875,\n              43.96909818325171\n            ],\n            [\n              -73.05084228515625,\n              43.96909818325171\n            ],\n            [\n              -73.05084228515625,\n              45.09485258791474\n            ],\n            [\n              -73.54248046875,\n              45.09485258791474\n            ],\n            [\n              -73.54248046875,\n              43.96909818325171\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simonin, Paul W.","contributorId":171499,"corporation":false,"usgs":false,"family":"Simonin","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":832436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Patrick J.","contributorId":97813,"corporation":false,"usgs":true,"family":"Sullivan","given":"Patrick J.","affiliations":[],"preferred":false,"id":832438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pientka, Bernard","contributorId":171500,"corporation":false,"usgs":false,"family":"Pientka","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":832439,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227770,"text":"70227770 - 2019 - A dam passage performance standard model for American shad","interactions":[],"lastModifiedDate":"2022-01-31T15:26:22.693319","indexId":"70227770","displayToPublicDate":"2018-07-30T09:20:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A dam passage performance standard model for American shad","docAbstract":"<div>Objectives for recovery of alosines commonly involve improving fish passage at dams during migration. However, a quantitative basis for dam passage performance standards is largely absent. We describe development of a stochastic life-history-based simulation model for American shad,<span>&nbsp;</span><i>Alosa sapidissima</i>, to estimate effects of dam passage and migratory delay on abundance, spatial distribution of spawning adults, and demographic structuring in space and time. We used the Penobscot River, Maine, USA, as a case study to examine sensitivity of modeled population metrics and probability of achieving specific management goals to inputs. Spawner abundance and percentage of repeat spawners were most sensitive to survival and migration delay at dams, marine survival, and temperature cues for migratory events. Recovery objectives related to abundance and spatial distribution of spawners were achievable under multiple scenarios, but high rates of upstream and downstream passage were necessary. The simulation indicated trade-offs between upstream and downstream passage efficacy whereby increased downstream passage was required to maintain or increase population abundance in conjunction with increased upstream passage. This model provides a quantitative support tool for managers to inform ecologically based decisions about a suite of management scenarios to facilitate recovery and sustainability of diadromous fish populations.</div>","language":"English","publisher":"U.S. Geological Survey","doi":"10.1139/cjfas-2018-0008","usgsCitation":"Stitch, D.S., Sheehan, T., and Zydlewski, J.D., 2019, A dam passage performance standard model for American shad: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 5, p. 762-779, https://doi.org/10.1139/cjfas-2018-0008.","productDescription":"18 p.","startPage":"762","endPage":"779","ipdsId":"IP-092496","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468115,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0008","text":"External Repository"},{"id":395139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.62060546875,\n              44.24519901522129\n            ],\n            [\n              -67.52197265625,\n              45.321254361171476\n            ],\n            [\n              -67.939453125,\n              45.96642454131025\n            ],\n            [\n              -68.2470703125,\n              46.392411189814645\n            ],\n            [\n              -69.85107421874999,\n              46.46813299215554\n            ],\n            [\n              -70.37841796875,\n              45.9511496866914\n            ],\n            [\n              -70.51025390625,\n              45.537136680398596\n            ],\n            [\n              -69.76318359375,\n              45.61403741135093\n            ],\n            [\n              -69.6533203125,\n              45.24395342262324\n            ],\n            [\n              -69.14794921875,\n              44.49650533109348\n            ],\n            [\n              -69.06005859375,\n              44.24519901522129\n            ],\n            [\n              -68.62060546875,\n              44.24519901522129\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stitch, Daniel S.","contributorId":272580,"corporation":false,"usgs":false,"family":"Stitch","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":52997,"text":"State University of New York College at Oneonta","active":true,"usgs":false}],"preferred":false,"id":832167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheehan, Timothy F.","contributorId":272581,"corporation":false,"usgs":false,"family":"Sheehan","given":"Timothy F.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":832168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":832166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206273,"text":"70206273 - 2019 - Managing the vanishing North American hunter: A novel framework to address declines in hunters and hunter-generated conservation funds","interactions":[],"lastModifiedDate":"2019-10-29T08:21:46","indexId":"70206273","displayToPublicDate":"2018-07-30T08:20:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Managing the vanishing North American hunter: A novel framework to address declines in hunters and hunter-generated conservation funds","docAbstract":"As long as the funding mechanism supporting state wildlife conservation relies heavily on hunter-generated funds, declines in hunter participation are a threat to the conservation of both game and non-game species. To address options to bolster wildlife agency profit from the sale of hunting licenses, we developed a stage-based, stochastic population model of a hunter population, and demonstrate its utility within a decision-making framework to inform state wildlife agency decisions. We evaluated hypothetical youth and adult recruitment-focused outreach programs over 10 years to increase license sale profit. Using our model as the core of a decision analysis, state agencies can set hunter population or license profit targets, and evaluate management actions designed to achieve those objectives. We anticipate that our approach will provide a valuable framework for anticipating the future of hunting and hunting-generated conservation funds, and can be extended to other user groups, including target shooters and anglers.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10871209.2018.1499155","usgsCitation":"Price-Tack, J., McGowan, C.P., Ditchkoff, S., Morse, W., and Robinson, O.J., 2019, Managing the vanishing North American hunter: A novel framework to address declines in hunters and hunter-generated conservation funds: Human Dimensions of Wildlife: An International Journal, v. 23, no. 6, p. 515-532, https://doi.org/10.1080/10871209.2018.1499155.","productDescription":"18 p.","startPage":"515","endPage":"532","ipdsId":"IP-088223","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490064,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Managing_the_vanishing_North_American_hunter_a_novel_framework_to_address_declines_in_hunters_and_hunter-generated_conservation_funds/6877256","text":"External Repository"},{"id":368691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Price-Tack, J.L.","contributorId":220074,"corporation":false,"usgs":false,"family":"Price-Tack","given":"J.L.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":774046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":774045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditchkoff, S.S.","contributorId":220075,"corporation":false,"usgs":false,"family":"Ditchkoff","given":"S.S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":774047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morse, W.C.","contributorId":220076,"corporation":false,"usgs":false,"family":"Morse","given":"W.C.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":774048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Orin J.","contributorId":220077,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","middleInitial":"J.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":774049,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198301,"text":"70198301 - 2019 - Vertical zonation and niche breadth of tidal marsh plants along the Northeast Pacific coast","interactions":[],"lastModifiedDate":"2019-01-28T09:29:44","indexId":"70198301","displayToPublicDate":"2018-07-27T20:13:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Vertical zonation and niche breadth of tidal marsh plants along the Northeast Pacific coast","docAbstract":"<p>The distribution patterns of sessile organisms in coastal intertidal habitats typically exhibit vertical zonation, but little is known about variability in zonation among sites or species at larger spatial scales. Data on such heterogeneity could inform mechanistic understanding of factors affecting species distributions as well as efforts to assess and manage coastal species and habitat vulnerability to sea-level rise. Using data on the vertical distribution of common plant species at 12 tidal marshes across the US Pacific coast, we examined heterogeneity in patterns of zonation to test whether distributions varied by site, species, or latitude. Interspecific zonation was evident at most sites, but the vertical niches of co-occurring common species often overlapped considerably. The median elevation of most species varied across marshes, with site-specific differences in marsh elevation profiles more important than differences in latitude that reflect regional climate gradients. Some common species consistently inhabited lower or higher elevations relative to other species, but others varied among sites. Vertical niche breadth varied more than twofold among species. These results indicate that zonation varies by both site and species at the regional scale, and highlight the potential importance of local marsh elevation profiles to plant vertical distributions. Furthermore, they suggest that coastal foundation species such as marsh plants may differ in their vulnerability to sea-level rise by being restricted to specific elevation zones or by occurring in narrow vertical niches.</p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0420-9","usgsCitation":"Janousek, C.N., Thorne, K.M., and Takekawa, J.Y., 2019, Vertical zonation and niche breadth of tidal marsh plants along the Northeast Pacific coast: Estuaries and Coasts, v. 42, no. 1, p. 85-98, https://doi.org/10.1007/s12237-018-0420-9.","productDescription":"14 p.","startPage":"85","endPage":"98","ipdsId":"IP-097682","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":355994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Coast","volume":"42","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5b6fc3f2e4b0f5d57878e959","contributors":{"authors":[{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":740953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":740952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":740954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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