{"pageNumber":"436","pageRowStart":"10875","pageSize":"25","recordCount":40797,"records":[{"id":70193094,"text":"70193094 - 2017 - PRISM Software: Processing and Review Interface for Strong‐Motion Data","interactions":[],"lastModifiedDate":"2017-10-31T10:51:32","indexId":"70193094","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"PRISM Software: Processing and Review Interface for Strong‐Motion Data","docAbstract":"

A continually increasing number of high‐quality digital strong‐motion records from stations of the National Strong Motion Project (NSMP) of the U.S. Geological Survey, as well as data from regional seismic networks within the United States, calls for automated processing of strong‐motion records with human review limited to selected significant or flagged records. The NSMP has developed the Processing and Review Interface for Strong Motion data (PRISM) software to meet this need. In combination with the Advanced National Seismic System Quake Monitoring System (AQMS), PRISM automates the processing of strong‐motion records. When used without AQMS, PRISM provides batch‐processing capabilities. The PRISM software is platform independent (coded in Java), open source, and does not depend on any closed‐source or proprietary software. The software consists of two major components: a record processing engine composed of modules for each processing step, and a review tool, which is a graphical user interface for manual review, edit, and processing. To facilitate use by non‐NSMP earthquake engineers and scientists, PRISM (both its processing engine and review tool) is easy to install and run as a stand‐alone system on common operating systems such as Linux, OS X, and Windows. PRISM was designed to be flexible and extensible to accommodate implementation of new processing techniques. All the computing features have been thoroughly tested.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160200","usgsCitation":"Jones, J.M., Kalkan, E., Stephens, C.D., and Ng, P., 2017, PRISM Software: Processing and Review Interface for Strong‐Motion Data: Seismological Research Letters, v. 88, no. 3, p. 851-866, https://doi.org/10.1785/0220160200.","productDescription":"16 p.","startPage":"851","endPage":"866","ipdsId":"IP-066608","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f98bb7e4b0531197af9fee","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Christopher D. 0000-0003-0858-3709 cdstephens@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-3709","contributorId":2788,"corporation":false,"usgs":true,"family":"Stephens","given":"Christopher","email":"cdstephens@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187393,"text":"70187393 - 2017 - Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015","interactions":[],"lastModifiedDate":"2019-12-17T09:28:42","indexId":"70187393","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015","docAbstract":"

Periodic assessments of population trends and changes in spatial distribution are valuable for managing marine birds and their breeding habitats, particularly when evaluating long-term response to threats such as oil spills, predation pressure, and changing ocean conditions. We evaluated recent trends in abundance and distribution of the Common Murre Uria aalge within Copalis, Quillayute Needles, and Flattery Rocks National Wildlife Refuges, which include all murre colonies in Washington except one, off-refuge, on Tatoosh Island. In 1996-2001 and 2010-2015, aerial photographic surveys were conducted during the incubation phase (mid-June through mid-July) each year. Using images from film (1996-2001) and digital (2010-2015) cameras that included all parts of each colony, we manually counted murres. We estimated population trend as annual percent change in whole-colony counts using an overdispersed Poisson regression model. Overall, numbers of murres counted at breeding colonies in Washington increased by 8.8% per year (95% CI 3.0%-14.9%) during 1996–2015. The overall statewide increase was driven by an increase at colonies in northern Washington of approximately 11% per year (95% CI 4.5%-17.8%). Despite an increasing trend, abundance remains lower than levels in the late 1970s, and the spatial distribution has changed. Colonies in southern Washington - where murres were historically the most abundant - are no longer active, or only minimally so, whereas colonies in the north - which were rarely active in the early 1970s - are now the largest. There was high variability in spatial distribution among years, a pattern that indicates a need for coordinated monitoring and movement studies throughout the California Current System to understand dispersal and colonization. Our results indicate that future management of refuge islands could protect both current and historic colony locations, given the patterns of colony dynamics and the uncertainty about long-term effects of a changing ocean ecosystem and predation pressure on the status of murres.

","language":"English","publisher":"Marine Ornithology","usgsCitation":"Thomas, S., and Lyons, J.E., 2017, Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 45, no. 1, p. 95-102.","productDescription":"8 p.","startPage":"95","endPage":"102","ipdsId":"IP-079216","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340685,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1206"}],"country":"United 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\"}}]}","volume":"45","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5908491ee4b0fc4e448ffd3c","contributors":{"authors":[{"text":"Thomas, Susan M","contributorId":191668,"corporation":false,"usgs":false,"family":"Thomas","given":"Susan M","affiliations":[],"preferred":false,"id":693777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":693776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191602,"text":"70191602 - 2017 - A paleoseismic transect across the northwestern Basin and Range Province, northwestern Nevada and northeastern California, USA","interactions":[],"lastModifiedDate":"2017-10-25T10:58:43","indexId":"70191602","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"A paleoseismic transect across the northwestern Basin and Range Province, northwestern Nevada and northeastern California, USA","docAbstract":"

We use new and existing data to compile a record of ∼18 latest Quaternary large-magnitude surface-rupturing earthquakes on 7 fault zones in the northwestern Basin and Range Province of northwestern Nevada and northeastern California. The most recent earthquake on all faults postdates the ca. 18–15 ka last glacial highstand of pluvial Lake Lahontan and other pluvial lakes in the region. These lacustrine data provide a window in which we calculate latest Quaternary vertical slip rates and compare them with rates of modern deformation in a global positioning system (GPS) transect spanning the region. Average vertical slip rates on these fault zones range from 0.1 to 0.8 mm/yr and total ∼2 mm/yr across a 265-km-wide transect from near Paradise Valley, Nevada, to the Warner Mountains in California. We converted vertical slip rates to horizontal extension rates using fault dips of 30°–60°, and then compared the extension rates to GPS-derived rates of modern (last 7–9 yr) deformation. Our preferred fault dip values (45°–55°) yield estimated long-term extension rates (1.3–1.9 mm/yr) that underestimate our modern rate (2.4 mm/yr) by ∼21%–46%. The most likely sources of this underestimate are geologically unrecognizable deformation from moderate-sized earthquakes and unaccounted-for coseismic off-fault deformation from large surface-rupturing earthquakes. However, fault dip values of ≤40° yield long-term rates comparable to or greater than modern rates, so an alternative explanation is that fault dips are closer to 40° than our preferred values. We speculate that the large component of right-lateral shear apparent in the GPS signal is partitioned on faults with primary strike-slip displacement, such as the Long Valley fault zone, and as not easily detected oblique slip on favorably oriented normal faults in the region.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01380.1","usgsCitation":"Personius, S., Briggs, R.W., Maharrey, J.Z., Angster, S.J., and Mahan, S.A., 2017, A paleoseismic transect across the northwestern Basin and Range Province, northwestern Nevada and northeastern California, USA: Geosphere, v. 13, no. 3, p. 782-810, https://doi.org/10.1130/GES01380.1.","productDescription":"29 p.","startPage":"782","endPage":"810","ipdsId":"IP-082995","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01380.1","text":"Publisher Index Page"},{"id":347328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Basin and Range Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121,\n 41\n ],\n [\n -117.25,\n 41\n ],\n [\n -117.25,\n 42\n ],\n [\n -121,\n 42\n ],\n [\n -121,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f58","contributors":{"authors":[{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maharrey, J. Zebulon","contributorId":20625,"corporation":false,"usgs":true,"family":"Maharrey","given":"J.","email":"","middleInitial":"Zebulon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":712840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angster, Stephen J. 0000-0001-9250-8415 sangster@usgs.gov","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":3885,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"sangster@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":712841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":712842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192624,"text":"70192624 - 2017 - Do we need demographic data to forecast plant population dynamics?","interactions":[],"lastModifiedDate":"2017-11-10T10:59:58","indexId":"70192624","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","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":"Do we need demographic data to forecast plant population dynamics?","docAbstract":"
  1. Rapid environmental change has generated growing interest in forecasts of future population trajectories. Traditional population models built with detailed demographic observations from one study site can address the impacts of environmental change at particular locations, but are difficult to scale up to the landscape and regional scales relevant to management decisions. An alternative is to build models using population-level data that are much easier to collect over broad spatial scales than individual-level data. However, it is unknown whether models built using population-level data adequately capture the effects of density-dependence and environmental forcing that are necessary to generate skillful forecasts.
  2. Here, we test the consequences of aggregating individual responses when forecasting the population states (percent cover) and trajectories of four perennial grass species in a semi-arid grassland in Montana, USA. We parameterized two population models for each species, one based on individual-level data (survival, growth and recruitment) and one on population-level data (percent cover), and compared their forecasting accuracy and forecast horizons with and without the inclusion of climate covariates. For both models, we used Bayesian ridge regression to weight the influence of climate covariates for optimal prediction.
  3. In the absence of climate effects, we found no significant difference between the forecast accuracy of models based on individual-level data and models based on population-level data. Climate effects were weak, but increased forecast accuracy for two species. Increases in accuracy with climate covariates were similar between model types.
  4. In our case study, percent cover models generated forecasts as accurate as those from a demographic model. For the goal of forecasting, models based on aggregated individual-level data may offer a practical alternative to data-intensive demographic models. Long time series of percent cover data already exist for many plant species. Modelers should exploit these data to predict the impacts of environmental change.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12686","usgsCitation":"Tredennick, A.T., Hooten, M., and Adler, P.B., 2017, Do we need demographic data to forecast plant population dynamics?: Methods in Ecology and Evolution, v. 8, no. 5, p. 541-551, https://doi.org/10.1111/2041-210X.12686.","productDescription":"11 p.","startPage":"541","endPage":"551","ipdsId":"IP-076546","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469886,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12686","text":"Publisher Index Page"},{"id":348564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86131","contributors":{"authors":[{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":721549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721550,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192626,"text":"70192626 - 2017 - A dynamic spatio-temporal model for spatial data","interactions":[],"lastModifiedDate":"2018-01-03T15:57:04","indexId":"70192626","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5548,"text":"Spatial Statistics","active":true,"publicationSubtype":{"id":10}},"title":"A dynamic spatio-temporal model for spatial data","docAbstract":"

Analyzing spatial data often requires modeling dependencies created by a dynamic spatio-temporal data generating process. In many applications, a generalized linear mixed model (GLMM) is used with a random effect to account for spatial dependence and to provide optimal spatial predictions. Location-specific covariates are often included as fixed effects in a GLMM and may be collinear with the spatial random effect, which can negatively affect inference. We propose a dynamic approach to account for spatial dependence that incorporates scientific knowledge of the spatio-temporal data generating process. Our approach relies on a dynamic spatio-temporal model that explicitly incorporates location-specific covariates. We illustrate our approach with a spatially varying ecological diffusion model implemented using a computationally efficient homogenization technique. We apply our model to understand individual-level and location-specific risk factors associated with chronic wasting disease in white-tailed deer from Wisconsin, USA and estimate the location the disease was first introduced. We compare our approach to several existing methods that are commonly used in spatial statistics. Our spatio-temporal approach resulted in a higher predictive accuracy when compared to methods based on optimal spatial prediction, obviated confounding among the spatially indexed covariates and the spatial random effect, and provided additional information that will be important for containing disease outbreaks.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.spasta.2017.02.005","usgsCitation":"Hefley, T.J., Hooten, M., Hanks, E.M., Russell, R., and Walsh, D.P., 2017, A dynamic spatio-temporal model for spatial data: Spatial Statistics, v. 20, p. 206-220, https://doi.org/10.1016/j.spasta.2017.02.005.","productDescription":"15 p.","startPage":"206","endPage":"220","ipdsId":"IP-079545","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.spasta.2017.02.005","text":"Publisher Index Page"},{"id":348561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cee4b09af898c8612d","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":716578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Robin 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":178094,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192739,"text":"70192739 - 2017 - Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","interactions":[],"lastModifiedDate":"2017-11-08T13:03:10","indexId":"70192739","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","docAbstract":"

Burn area and the frequency of extreme fire events have been increasing during recent decades in North America, and this trend is expected to continue over the 21st century. While many aspects of the North American carbon budget have been intensively studied, the net contribution of fire disturbance to the overall net carbon flux at the continental scale remains uncertain. Based on national scale, spatially explicit and long-term fire data, along with the improved model parameterization in a process-based ecosystem model, we simulated the impact of fire disturbance on both direct carbon emissions and net terrestrial ecosystem carbon balance in North America. Fire-caused direct carbon emissions were 106.55 ± 15.98 Tg C/yr during 1990–2012; however, the net ecosystem carbon balance associated with fire was −26.09 ± 5.22 Tg C/yr, indicating that most of the emitted carbon was resequestered by the terrestrial ecosystem. Direct carbon emissions showed an increase in Alaska and Canada during 1990–2012 as compared to prior periods due to more extreme fire events, resulting in a large carbon source from these two regions. Among biomes, the largest carbon source was found to be from the boreal forest, primarily due to large reductions in soil organic matter during, and with slower recovery after, fire events. The interactions between fire and environmental factors reduced the fire-caused ecosystem carbon source. Fire disturbance only caused a weak carbon source as compared to the best estimate terrestrial carbon sink in North America owing to the long-term legacy effects of historical burn area coupled with fast ecosystem recovery during 1990–2012.

","language":"English","publisher":"AGU","doi":"10.1002/2016GB005548","usgsCitation":"Chen, G., Hayes, D.J., and McGuire, A.D., 2017, Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012: Global Biogeochemical Cycles, v. 31, no. 5, p. 878-900, https://doi.org/10.1002/2016GB005548.","productDescription":"23 p.","startPage":"878","endPage":"900","ipdsId":"IP-084072","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005548","text":"Publisher Index Page"},{"id":348451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"31","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-27","publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b45388","contributors":{"authors":[{"text":"Chen, Guangsheng","contributorId":200153,"corporation":false,"usgs":false,"family":"Chen","given":"Guangsheng","email":"","affiliations":[],"preferred":false,"id":721156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716799,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192831,"text":"70192831 - 2017 - A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","interactions":[],"lastModifiedDate":"2017-10-30T16:33:18","indexId":"70192831","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","docAbstract":"

Myanmar is in a tectonically complex region between the eastern edge of the Himalayan collision zone and the northern end of the Sunda megathrust. Until recently, earthquake monitoring and research efforts have been hampered by a lack of modern instrumentation and communication infrastructure. In January 2016, a major upgrade of the Myanmar National Seismic Network (MNSN; network code MM) was undertaken to improve earthquake monitoring capability. We installed five permanent broadband and strong‐motion seismic stations and real‐time data telemetry using newly improved cellular networks. Data are telemetered to the MNSN hub in Nay Pyi Taw and archived at the Incorporated Research Institutions for Seismology Data Management Center. We analyzed station noise characteristics and site response using noise and events recorded over the first six months of station operation. Background noise characteristics vary across the array, but indicate that the new stations are performing well. MM stations recorded more than 20 earthquakes of M≥4.5 within Myanmar and its immediate surroundings, including an M 6.8 earthquake located northwest of Mandalay on 13 April 2016 and the Mw 6.8 Chauk event on 24 August 2016. We use this new dataset to calculate horizontal‐to‐vertical spectral ratios, which provide a preliminary characterization of site response of the upgraded MM stations.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160168","usgsCitation":"Thiam, H.N., Min Htwe, Y.M., Kyaw, T.L., Tun, P.P., Min, Z., Htwe, S.H., Aung, T.M., Lin, K.K., Aung, M.M., De Cristofaro, J., Franke, M., Radman, S., Lepiten, E., Wolin, E., and Hough, S.E., 2017, A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response: Seismological Research Letters, v. 88, no. 3, p. 926-934, https://doi.org/10.1785/0220160168.","productDescription":"9 p.","startPage":"926","endPage":"934","ipdsId":"IP-084392","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Myanmar","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[99.54331,20.1866],[98.95968,19.75298],[98.25372,19.7082],[97.79778,18.62708],[97.3759,18.44544],[97.85912,17.56795],[98.49376,16.83784],[98.90335,16.17782],[98.53738,15.3085],[98.19207,15.1237],[98.43082,14.62203],[99.09776,13.8275],[99.21201,13.26929],[99.19635,12.80475],[99.58729,11.89276],[99.03812,10.96055],[98.55355,9.93296],[98.45717,10.67527],[98.76455,11.44129],[98.42834,12.03299],[98.50957,13.12238],[98.1036,13.64046],[97.77773,14.83729],[97.59707,16.10057],[97.16454,16.92873],[96.50577,16.42724],[95.36935,15.71439],[94.8084,15.80345],[94.1888,16.03794],[94.53349,17.27724],[94.32482,18.21351],[93.54099,19.36649],[93.66325,19.72696],[93.07828,19.85514],[92.36855,20.67088],[92.30323,21.47549],[92.65226,21.32405],[92.67272,22.04124],[93.16613,22.27846],[93.06029,22.70311],[93.28633,23.04366],[93.32519,24.07856],[94.10674,23.85074],[94.55266,24.67524],[94.60325,25.1625],[95.15515,26.00131],[95.12477,26.57357],[96.41937,27.26459],[97.134,27.08377],[97.05199,27.69906],[97.40256,27.88254],[97.32711,28.26158],[97.91199,28.33595],[98.24623,27.74722],[98.68269,27.50881],[98.71209,26.74354],[98.67184,25.9187],[97.72461,25.08364],[97.60472,23.8974],[98.66026,24.06329],[98.89875,23.14272],[99.53199,22.94904],[99.2409,22.11831],[99.98349,21.74294],[100.41654,21.55884],[101.15003,21.84998],[101.18001,21.43657],[100.3291,20.78612],[100.11599,20.41785],[99.54331,20.1866]]]},\"properties\":{\"name\":\"Myanmar\"}}]}","volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f83a37e4b063d5d30980e1","contributors":{"authors":[{"text":"Thiam, Hrin Nei","contributorId":198766,"corporation":false,"usgs":false,"family":"Thiam","given":"Hrin","email":"","middleInitial":"Nei","affiliations":[],"preferred":false,"id":717099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Min Htwe, Yin Myo","contributorId":198767,"corporation":false,"usgs":false,"family":"Min Htwe","given":"Yin","email":"","middleInitial":"Myo","affiliations":[],"preferred":false,"id":717100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kyaw, Tun Lin","contributorId":198768,"corporation":false,"usgs":false,"family":"Kyaw","given":"Tun","email":"","middleInitial":"Lin","affiliations":[],"preferred":false,"id":717101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tun, Pa Pa","contributorId":198769,"corporation":false,"usgs":false,"family":"Tun","given":"Pa","email":"","middleInitial":"Pa","affiliations":[],"preferred":false,"id":717102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Min, Zaw","contributorId":198770,"corporation":false,"usgs":false,"family":"Min","given":"Zaw","email":"","affiliations":[],"preferred":false,"id":717103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Htwe, Sun Hninn","contributorId":198771,"corporation":false,"usgs":false,"family":"Htwe","given":"Sun","email":"","middleInitial":"Hninn","affiliations":[],"preferred":false,"id":717104,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aung, Tin Myo","contributorId":198772,"corporation":false,"usgs":false,"family":"Aung","given":"Tin","email":"","middleInitial":"Myo","affiliations":[],"preferred":false,"id":717105,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lin, Kyaw Kyaw","contributorId":198773,"corporation":false,"usgs":false,"family":"Lin","given":"Kyaw","email":"","middleInitial":"Kyaw","affiliations":[],"preferred":false,"id":717106,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aung, Myat Min","contributorId":198774,"corporation":false,"usgs":false,"family":"Aung","given":"Myat","email":"","middleInitial":"Min","affiliations":[],"preferred":false,"id":717107,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Cristofaro, Jason 0000-0001-8179-2393 jdecristofaro@usgs.gov","orcid":"https://orcid.org/0000-0001-8179-2393","contributorId":198779,"corporation":false,"usgs":true,"family":"De Cristofaro","given":"Jason","email":"jdecristofaro@usgs.gov","affiliations":[],"preferred":true,"id":717112,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Franke, Mathias","contributorId":198775,"corporation":false,"usgs":false,"family":"Franke","given":"Mathias","email":"","affiliations":[],"preferred":false,"id":717108,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Radman, Stefan","contributorId":198776,"corporation":false,"usgs":false,"family":"Radman","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":717109,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lepiten, Elouie","contributorId":198777,"corporation":false,"usgs":false,"family":"Lepiten","given":"Elouie","email":"","affiliations":[],"preferred":false,"id":717110,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":717111,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717098,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70191848,"text":"70191848 - 2017 - Down to Earth with an electric hazard from space","interactions":[],"lastModifiedDate":"2017-10-25T11:31:35","indexId":"70191848","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Down to Earth with an electric hazard from space","docAbstract":"

In reaching across traditional disciplinary boundaries, solid-Earth geophysicists and space physicists are forging new collaborations to map magnetic-storm hazards for electric-power grids. Future progress in evaluation storm time geoelectric hazards will come primarily through monitoring, surveys, and modeling of related data.

","language":"English","publisher":"AGU","doi":"10.1002/2017SW001622","usgsCitation":"Love, J.J., Bedrosian, P.A., and Schultz, A., 2017, Down to Earth with an electric hazard from space: Space Weather, v. 15, no. 5, p. 658-662, https://doi.org/10.1002/2017SW001622.","productDescription":"5 p.","startPage":"658","endPage":"662","ipdsId":"IP-086460","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017sw001622","text":"Publisher Index Page"},{"id":347337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f56","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Adam","contributorId":197380,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[],"preferred":false,"id":713372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192920,"text":"70192920 - 2017 - Disturbance of a rare seabird by ship-based tourism in a marine protected area","interactions":[],"lastModifiedDate":"2017-11-07T13:32:06","indexId":"70192920","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance of a rare seabird by ship-based tourism in a marine protected area","docAbstract":"

Managers of marine protected areas (MPAs) must often seek ways to allow for visitation while minimizing impacts to the resources they are intended to protect. Using shipboard observers, we quantified the “zone of disturbance” for Kittlitz’s and marbled murrelets (Brachyramphus brevirostris and B. marmoratus) exposed to large cruise ships traveling through Glacier Bay National Park, one of the largest MPAs in North America. In the upper reaches of Glacier Bay, where Kittlitz’s murrelets predominated, binary logistic regression models predicted that 61% of all murrelets within 850 m perpendicular distance of a cruise ship were disturbed (defined as flushing or diving), whereas in the lower reaches, where marbled murrelets predominated, this percentage increased to 72%. Using survival analysis, murrelets in both reaches were found to react at greater distances when ships approached indirectly, presumably because of the ship’s larger profile, suggesting murrelets responded to visual rather than audio cues. No management-relevant covariates (e.g., ship velocity, route distance from shore) were found to be important predictors of disturbance, as distance from ship to murrelet accounted for > 90% of the explained variation in murrelet response. Utilizing previously published murrelet density estimates from Glacier Bay, and applying an average empirical disturbance probability (68%) out to 850 m from a cruise ship’s typical route, we estimated that a minimum of 9.8–19.6% of all murrelets in Glacier Bay are disturbed per ship entry. Whether these disturbance levels are inconsistent with Park management objectives, which include conserving wildlife as well as providing opportunities for visitation, depends in large part on whether disturbance events caused by cruise ships have impacts on murrelet fitness, which remains uncertain.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0176176","usgsCitation":"Marcella, T.K., Gende, S.M., Roby, D.D., and Allignol, A., 2017, Disturbance of a rare seabird by ship-based tourism in a marine protected area: PLoS ONE, v. 12, no. 5, p. 1-23, https://doi.org/10.1371/journal.pone.0176176.","productDescription":"e0176176; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-077530","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0176176","text":"Publisher Index Page"},{"id":348388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -137.373046875,\n 58.205449994019915\n ],\n [\n -135.28564453125,\n 58.205449994019915\n ],\n [\n -135.28564453125,\n 59.06880155405589\n ],\n [\n -137.373046875,\n 59.06880155405589\n ],\n [\n -137.373046875,\n 58.205449994019915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"5a07e8f7e4b09af898c8cbdb","contributors":{"authors":[{"text":"Marcella, Timothy K.","contributorId":200095,"corporation":false,"usgs":false,"family":"Marcella","given":"Timothy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":720958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gende, Scott M.","contributorId":27320,"corporation":false,"usgs":true,"family":"Gende","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allignol, Arthur","contributorId":200096,"corporation":false,"usgs":false,"family":"Allignol","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":720960,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179386,"text":"70179386 - 2017 - Divergence and gene flow in the globally distributed blue-winged ducks","interactions":[],"lastModifiedDate":"2017-06-07T10:39:02","indexId":"70179386","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Divergence and gene flow in the globally distributed blue-winged ducks","docAbstract":"The ability to disperse over long distances can result in a high propensity for colonizing new geographic regions, including uninhabited continents, and lead to lineage diversification via allopatric speciation. However, high vagility can also result in gene flow between otherwise allopatric populations, and in some cases, parapatric or divergence-with-gene-flow models might be more applicable to widely distributed lineages. Here, we use five nuclear introns and the mitochondrial control region along with Bayesian models of isolation with migration to examine divergence, gene flow, and phylogenetic relationships within a cosmopolitan lineage comprising six species, the blue-winged ducks (genus Anas), which inhabit all continents except Antarctica. We found two primary sub-lineages, the globally-distributed shoveler group and the New World blue-winged/cinnamon teal group. The blue-winged/cinnamon sub-lineage is composed of sister taxa from North America and South America, and taxa with parapatric distributions are characterized by low to moderate levels of gene flow. In contrast, our data support strict allopatry for most comparisons within the shovelers. However, we found evidence of gene flow from the migratory, Holarctic northern shoveler (A. clypeata) and the more sedentary, African Cape shoveler (A. smithii) into the Australasian shoveler (A. rhynchotis), although we could not reject strict allopatry. Given the diverse mechanisms of speciation within this complex, the shovelers and blue-winged/cinnamon teals can serve as an effective model system for examining how the genome diverges under different evolutionary processes and how genetic variation is partitioned among highly dispersive taxa.","language":"English","publisher":"Wiley","doi":"10.1111/jav.00998","usgsCitation":"Nelson, J., Wilson, R.E., McCracken, K.G., Cumming, G., Joseph, L., Guay, P., and Peters, J., 2017, Divergence and gene flow in the globally distributed blue-winged ducks: Journal of Avian Biology, v. 48, no. 5, p. 640-649, https://doi.org/10.1111/jav.00998.","productDescription":"10 p.","startPage":"640","endPage":"649","ipdsId":"IP-071068","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":502591,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Divergence_and_gene_flow_in_the_globally_distributed_blue-winged_ducks/20599113","text":"External Repository"},{"id":438356,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T72FK7","text":"USGS data release","linkHelpText":"Specimen and Genetic Information for Phylogeny of Blue-winged Ducks (Anas spp.), 2001-2011"},{"id":332672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-21","publicationStatus":"PW","scienceBaseUri":"586781f7e4b0cd2dabe7c715","contributors":{"authors":[{"text":"Nelson, Joel","contributorId":177777,"corporation":false,"usgs":false,"family":"Nelson","given":"Joel","email":"","affiliations":[],"preferred":false,"id":657014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","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":657013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCracken, Kevin G.","contributorId":72309,"corporation":false,"usgs":false,"family":"McCracken","given":"Kevin","email":"","middleInitial":"G.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":657015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cumming, Graeme","contributorId":177778,"corporation":false,"usgs":false,"family":"Cumming","given":"Graeme","affiliations":[],"preferred":false,"id":657016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joseph, Leo","contributorId":173726,"corporation":false,"usgs":false,"family":"Joseph","given":"Leo","affiliations":[],"preferred":false,"id":657017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guay, Patrick-Jean","contributorId":177779,"corporation":false,"usgs":false,"family":"Guay","given":"Patrick-Jean","email":"","affiliations":[],"preferred":false,"id":657018,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Jeffrey","contributorId":177780,"corporation":false,"usgs":false,"family":"Peters","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":657019,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192057,"text":"70192057 - 2017 - Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker","interactions":[],"lastModifiedDate":"2017-10-19T15:58:32","indexId":"70192057","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker","docAbstract":"

Stream habitat restoration and supplemental stocking of hatchery-reared fish have increasingly become key components of recovery plans for imperiled freshwater fish; however, determining when to discontinue stocking efforts, prioritizing restoration areas, and evaluating restoration success present a conservation challenge. In this study, we demonstrate that otolith microchemistry is an effective tool for establishing natal origin of the June Sucker Chasmistes liorus, an imperiled potamodromous fish. This approach allows us to determine whether a fish is of wild or hatchery origin in order to assess whether habitat restoration enhances recruitment and to further identify areas of critical habitat. Our specific objectives were to (1) quantify and characterize chemical variation among three main spawning tributaries; (2) understand the relationship between otolith microchemistry and tributary chemistry; and (3) develop and validate a classification model to identify stream origin using otolith microchemistry data. We quantified molar ratios of Sr:Ca, Ba:Ca, and Mg:Ca for water and otolith chemistry from three main tributaries to Utah Lake, Utah, during the summer of 2013. Water chemistry (loge transformed Sr:Ca, Ba:Ca, and Mg:Ca ratios) differed significantly across all three spawning tributaries. We determined that Ba:Ca and Sr:Ca ratios were the most important variables driving our classification models, and we observed a strong linear relationship between water and otolith values for Sr:Ca and Ba:Ca but not for Mg:Ca. Classification models derived from otolith element : Ca signatures accurately sorted individuals to their experimental tributary of origin (classification tree: 89% accuracy; random forest model: 91% accuracy) and determined wild versus hatchery origin with 100% accuracy. Overall, this study aids in evaluating the effectiveness of restoration, tracking progress toward recovery, and prioritizing future restoration plans for fishes of conservation concern. Our results have further application, such as identifying subpopulations that provide the greatest reproductive contribution to a metapopulation or finding the reproductive area and origin of invasive fishes.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1301994","usgsCitation":"Strohm, D.D., Budy, P., and Crowl, T.A., 2017, Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker: Transactions of the American Fisheries Society, v. 146, no. 4, p. 732-743, https://doi.org/10.1080/00028487.2017.1301994.","productDescription":"12 p.","startPage":"732","endPage":"743","ipdsId":"IP-069787","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469888,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/00028487.2017.1301994","text":"External Repository"},{"id":347006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Utah Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.75704956054688,\n 40.158410030219486\n ],\n [\n -111.65061950683594,\n 40.158410030219486\n ],\n [\n -111.65061950683594,\n 40.247039698452085\n ],\n [\n -111.75704956054688,\n 40.247039698452085\n ],\n [\n -111.75704956054688,\n 40.158410030219486\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65c92","contributors":{"authors":[{"text":"Strohm, Deanna D.","contributorId":197742,"corporation":false,"usgs":false,"family":"Strohm","given":"Deanna","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowl, Todd A.","contributorId":197743,"corporation":false,"usgs":false,"family":"Crowl","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192769,"text":"70192769 - 2017 - Distribution and abundance of Millicoma Dace in the Coos River Basin, Oregon","interactions":[],"lastModifiedDate":"2017-11-10T10:13:48","indexId":"70192769","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of Millicoma Dace in the Coos River Basin, Oregon","docAbstract":"

The Millicoma Dace Rhinichthys cataractae is a form of Longnose Dace endemic to the Coos River drainage in southwestern Oregon. Sparse species records in the Oregon State University Ichthyology Collection and database and infrequent recent encounters prompted surveys to assess the current status and distribution of the species. In 2014, we surveyed locations that had historically supported Millicoma Dace using backpack electrofishing to describe their current distribution and abundance at these locations. In 2015, we extended these surveys further upstream in the South Coos River basin, outside of the documented historical range. We used an N-mixture model to estimate abundance and capture probability for Millicoma Dace at each sampling location. We evaluated the effects of habitat covariates on both capture probability and abundance at each sample site. We found Millicoma Dace were widespread throughout their historical range and in the South Coos River sites outside of their documented historical range. We only found Millicoma Dace associated with native fishes; we did not collect any nonnative fish during our surveys. We collected Millicoma Dace exclusively from swift-water habitats, which were relatively uncommon in the basin, and found them typically associated with cobble or boulder substrates. Millicoma Dace were most abundant in the South Fork Coos and West Fork Millicoma River subbasins. We estimated capture probabilities for Millicoma Dace ranging from 9% when substrate was dominated by bedrock to 28% when substrate was dominated by cobble or gravel. Abundance estimates ranged from 1 to 560 dace per sampling location with a total estimated abundance (sum of site estimates) of over 3200 dace for the sites we sampled.

","language":"English","publisher":"Society for Northwestern Vertebrate Biology","doi":"10.1898/NWN16-15.1","usgsCitation":"Scheerer, P.D., Peterson, J., and Clements, S., 2017, Distribution and abundance of Millicoma Dace in the Coos River Basin, Oregon: Northwestern Naturalist, v. 98, no. 1, p. 39-47, https://doi.org/10.1898/NWN16-15.1.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-078974","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Coos River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.46411132812499,\n 43.00866413845207\n ],\n [\n -122.90954589843749,\n 43.00866413845207\n ],\n [\n -122.90954589843749,\n 43.95328204198018\n ],\n [\n -124.46411132812499,\n 43.95328204198018\n ],\n [\n -124.46411132812499,\n 43.00866413845207\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b45381","contributors":{"authors":[{"text":"Scheerer, Paul D.","contributorId":171713,"corporation":false,"usgs":false,"family":"Scheerer","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Shaun","contributorId":171685,"corporation":false,"usgs":false,"family":"Clements","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":721121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200778,"text":"70200778 - 2017 - Freshwater mussels (Unionidae): Central and West Texas Final Report","interactions":[],"lastModifiedDate":"2019-10-14T11:51:17","indexId":"70200778","displayToPublicDate":"2017-04-30T11:50:48","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Freshwater mussels (Unionidae): Central and West Texas Final Report","docAbstract":"The goal of this study was two-fold: (1) assess the taxonomic identity and phylogenetic\nplacement of Quadrula aurea (Golden Orb) [Federal Candidate], Quadrula houstonensis\n(Smooth Pimpleback) [Federal Candidate], and Quadrula petrina (Texas Pimpleback) [Federal\nCandidate] through mitochondrial and nuclear DNA sequencing; and (2) provided additional\ninformation on the distribution and abundance for mussel species petitioned for listing under\nESA through field surveys in portions of several major rivers in Central and West Texas. The\nfinal report is organized by 4 research tasks as per contract (see Appendix A) and submitted\nproposals. Below is an outline of goal-oriented tasks for this project:\n\nTask 1 – Conduct comprehensive surveys of portions of the Brazos, Colorado, and Guadalupe\nRiver basins\nTask 2 – Conduct comprehensive surveys of portions of the Rio Grande Basin\nTask 3 – Develop conservation status assessment maps for 9 state-threatened mussel species in Texas\nTask 4 – Delineate species boundaries, test for cryptic species, and assess phylogenetic\nrelationships for threatened Texas mussel species in the genus Quadrula\nNote the following 2 tasks were either not funded in the current contract or was a modification of\nthe contract and added as a project deliverable:\nTask 5 – Delineate species boundaries, test for cryptic species, and assess phylogenetic\nrelationships for east Texas mussel species in the genus Fusconaia (Not Funded)\nTask 6 – Evaluate the conservation status of Texas hornshell and other mussels in the Pecos and Devils Rivers (Contract amendment, results combined with Task 2).\n\nDetailed descriptions of the research tasks and findings are found within each chapter of the\nreport. Here, we outline and summarize project deliverables and major findings for each task.","largerWorkTitle":"Texas A&M Institute of Renewable Natural Resources","language":"English","publisher":"Texas A&M Institute of Renewable Natural Resources","usgsCitation":"Randklev, C.R., Johnson, N., Miller, T.J., Morton, J., Dudding, J., Skow, K., Boseman, B., Hart, M., Tsakiris, E., Inoue, K., and Lopez, R., 2017, Freshwater mussels (Unionidae): Central and West Texas Final Report, 321 p.","productDescription":"321 p.","ipdsId":"IP-086774","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368306,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://comptroller.texas.gov/programs/natural-resources/research/ongoing-studies/ctfm/"}],"country":"United 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Historical analyses showed marked differences in fires on montane and foothill landscapes. Based on roughly a century of data, there are five important lessons on fire–climate relationships in California: (1) seasonal variations in temperature appear to have had minimal influence on area burned in the lower elevation, mostly non-forested, landscapes; (2) temperature has been a significant factor in controlling fire activity in higher elevation montane forests, but this varied greatly with season – winter and autumn temperatures showed no significant effect, whereas spring and summer temperatures were important determinants of area burned; (3) current season precipitation has been a strong controller of fire activity in forests, with drier years resulting in greater area burned on most United States Forest Service (USFS) lands in the state, but the effect of current-year precipitation was decidedly less on lower elevation California Department of Forestry and Fire Protection lands; (4) in largely grass-dominated foothills and valleys the magnitude of prior-year rainfall was positively tied to area burned in the following year, and we hypothesise that this is tied to greater fuel volume in the year following high rainfall. In the southern part of the state this effect has become stronger in recent decades and this likely is due to accelerated type conversion from shrubland to grassland in the latter part of the 20th century; (5) the strongest fire–climate models were on USFS lands in the Sierra Nevada Mountains, and these explained 42–52% of the variation in area burned; however, the models changed over time, with winter and spring precipitation being the primary drivers in the first half of the 20th century, but replaced by spring and summer temperatures after 1960.","language":"English","publisher":"CSIRO","doi":"10.1071/WF16102","usgsCitation":"Keeley, J.E., and Syphard, A.D., 2017, Different historical fire–climate patterns in California: International Journal of Wildland Fire, v. 26, no. 4, p. 253-268, https://doi.org/10.1071/WF16102.","productDescription":"16 p.","startPage":"253","endPage":"268","ipdsId":"IP-076455","costCenters":[{"id":651,"text":"Western Ecological Research 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of sea turtles throughout the West Atlantic","interactions":[],"lastModifiedDate":"2017-10-08T11:38:18","indexId":"70187310","displayToPublicDate":"2017-04-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic","docAbstract":"

Somatic growth is an integrated, individual-based response to environmental conditions, especially in ectotherms. Growth dynamics of large, mobile animals are particularly useful as bio-indicators of environmental change at regional scales. We assembled growth rate data from throughout the West Atlantic for green turtles, Chelonia mydas, which are long-lived, highly migratory, primarily herbivorous mega-consumers that may migrate over hundreds to thousands of kilometers. Our dataset, the largest ever compiled for sea turtles, has 9690 growth increments from 30 sites from Bermuda to Uruguay from 1973 to 2015. Using generalized additive mixed models, we evaluated covariates that could affect growth rates; body size, diet, and year have significant effects on growth. Growth increases in early years until 1999, then declines by 26% to 2015. The temporal (year) effect is of particular interest because two carnivorous species of sea turtles – hawksbills, Eretmochelys imbricata, and loggerheads, Caretta caretta – exhibited similar significant declines in growth rates starting in 1997 in the West Atlantic, based on previous studies. These synchronous declines in productivity among three sea turtle species across a trophic spectrum provide strong evidence that an ecological regime shift (ERS) in the Atlantic is driving growth dynamics. The ERS resulted from a synergy of the 1997/1998 El Niño Southern Oscillation (ENSO) – the strongest on record – combined with an unprecedented warming rate over the last two to three decades. Further support is provided by the strong correlations between annualized mean growth rates of green turtles and both sea surface temperatures (SST) in the West Atlantic for years of declining growth rates (r = -0.94) and the Multivariate ENSO Index (MEI) for all years (r = 0.74). Granger-causality analysis also supports the latter finding. We discuss multiple stressors that could reinforce and prolong the effect of the ERS. This study demonstrates the importance of region-wide collaborations.

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  1. Long-term management planning for conservation-reliant migratory songbirds is particularly challenging because habitat quality in different stages and geographic locations of the annual cycle can have direct and carry-over effects that influence the population dynamics. The Neotropical migratory songbird Kirtland's warbler Setophaga kirtlandii (Baird 1852) is listed as endangered under the U.S. Endangered Species Act and Near Threatened under the IUCN Red List. This conservation-reliant species is being considered for U.S. federal delisting because the species has surpassed the designated 1000 breeding pairs recovery threshold since 2001.
  2. To help inform the delisting decision and long-term management efforts, we developed a population simulation model for the Kirtland's warbler that incorporated both breeding and wintering grounds habitat dynamics, and projected population viability based on current environmental conditions and potential future management scenarios. Future management scenarios included the continuation of current management conditions, reduced productivity and carrying capacity due to the changes in habitat suitability from the creation of experimental jack pine Pinus banksiana (Lamb.) plantations, and reduced productivity from alteration of the brown-headed cowbird Molothrus ater (Boddaert 1783) removal programme.
  3. Linking wintering grounds precipitation to productivity improved the accuracy of the model for replicating past observed population dynamics. Our future simulations indicate that the Kirtland's warbler population is stable under two potential future management scenarios: (i) continuation of current management practices and (ii) spatially restricting cowbird removal to the core breeding area, assuming that cowbirds reduce productivity in the remaining patches by ≤41%. The additional future management scenarios we assessed resulted in population declines.
  4. Synthesis and applications. Our study indicates that the Kirtland's warbler population is stable under current management conditions and that the jack pine plantation and cowbird removal programmes continue to be necessary for the long-term persistence of the species. This study represents one of the first attempts to incorporate full annual cycle dynamics into a population viability analysis for a migratory bird, and our results indicate that incorporating wintering grounds dynamics improved the model performance.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12776","usgsCitation":"Brown, D., Ribic, C., Donner, D.M., Nelson, M.D., Bocetti, C.I., and Deloria-Sheffield, C.M., 2017, Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery: Journal of Applied Ecology, v. 54, no. 2, p. 439-449, https://doi.org/10.1111/1365-2664.12776.","productDescription":"11 p.","startPage":"439","endPage":"449","ipdsId":"IP-065679","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12776","text":"Publisher Index Page"},{"id":340618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"54","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"590454a1e4b022cee40dc220","contributors":{"authors":[{"text":"Brown, Donald J.","contributorId":191568,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Mark D.","contributorId":107846,"corporation":false,"usgs":true,"family":"Nelson","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bocetti, Carol I.","contributorId":60343,"corporation":false,"usgs":true,"family":"Bocetti","given":"Carol","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":693498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deloria-Sheffield, Christie M.","contributorId":84875,"corporation":false,"usgs":true,"family":"Deloria-Sheffield","given":"Christie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187314,"text":"70187314 - 2017 - A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry","interactions":[],"lastModifiedDate":"2017-04-28T15:33:14","indexId":"70187314","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry","docAbstract":"

A safe, practical, and accurate method for the determination of selenium (Se) in range of environmental samples was developed. Small sample masses, 5–20 mg, were amended with 82Se enriched isotope for the isotope dilution (ID), preceding a multi-step wet digestion with nitric acid (HNO3) and hydrogen peroxide (H2O2). Samples were incubated in an autoclave for 3 h at 20 psi and 126°C. Digestates were subsequently reduced with concentrated hydrochloric acid to Se(IV) the most favorable valence for hydride generation (HG). The solutions were then analyzed on an ICP-MS equipped with Flow Injection system (FIAS-400). Polyatomic, isobaric, and background interferences were removed through the use of HG and ID with an 82Se enriched isotope spike. Recoveries for certified reference materials were determined and averaged 96% for biological tissues (NRCC DOLT3, DOLT4, DORM2, TORT2, and TORT3, and NIST 2976) and 108% for estuarine sediment (NRCC PACS2) with an average coefficient of variation for replicate measurements of ∼ 3.5%. Limit of detection was 0.13 ng Se g−1 dry weight or 0.19 ng Se L−1. This method can be broadly applied to biological tissues, sediments, suspended particulates, and water samples with minimal modifications making this method highly useful for assessing the ecotoxicology of total Se in aquatic ecosystems.

","language":"English","publisher":"ASLO","doi":"10.1002/lom3.10164","usgsCitation":"Kleckner, A., Kakouros, E., and Stewart, A., 2017, A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry: Limnology and Oceanography: Methods, v. 15, no. 4, p. 363-371, https://doi.org/10.1002/lom3.10164.","productDescription":"9 p.","startPage":"363","endPage":"371","ipdsId":"IP-076493","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10164","text":"Publisher Index Page"},{"id":340630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-11","publicationStatus":"PW","scienceBaseUri":"590454a0e4b022cee40dc21e","contributors":{"authors":[{"text":"Kleckner, Amy E.","contributorId":191501,"corporation":false,"usgs":false,"family":"Kleckner","given":"Amy E.","affiliations":[],"preferred":false,"id":693312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":693313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, A. Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":82436,"corporation":false,"usgs":true,"family":"Stewart","given":"A. Robin","affiliations":[],"preferred":false,"id":693311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187323,"text":"70187323 - 2017 - Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation","interactions":[],"lastModifiedDate":"2017-08-09T17:08:57","indexId":"70187323","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation","docAbstract":"

An unprecedented set of hydrologic observations was collected after the Dec 2008 seawater-flooding event on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands. By two days after the seawater flooding that occurred at the beginning of dry season, the observed salinity of water withdrawn by the island’s main skimming well increased to 100% seawater concentration, but by ten days later already decreased to only 10–20% of seawater fraction. However, the damaging impact on the potability of the groundwater supply (when pumped water had concentrations above 1% seawater fraction) lasted 22 months longer. The data collected make possible analyses of the hydrologic factors that control recovery and management of the groundwater-supply quality on Roi-Namur and on similar low-lying islands.

With the observed data as a guide, three-dimensional numerical-model simulation analyses reveal how recovery is controlled by the island’s hydrology. These also allow evaluation of the efficacy of basic water-quality management/mitigation alternatives and elucidate how groundwater withdrawal and timing of the seawater-flooding event affect the length of recovery. Simulations show that, as might be expected, by adding surplus captured rainwater as artificial recharge, the freshwater-lens recovery period (after which potable groundwater may again be produced) can be shortened, with groundwater salinity remaining lower even during the dry season, a period during which no artificial recharge is applied. Simulations also show that the recovery period is not lengthened appreciably by groundwater withdrawals during recovery. Simulations further show that had the flooding event occurred at the start of the wet season, the recovery period would have been about 25% (5.5 months) shorter than actually occurred during the monitored flood that occurred at the dry-season start. Finally, analyses show that artificial recharge improves freshwater-lens water quality, making possible longer use of groundwater as a water supply throughout each year, even when no seawater flooding has occurred.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.03.001","usgsCitation":"Gingerich, S.B., Voss, C.I., and Johnson, A.G., 2017, Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation: Journal of Hydrology, v. 551, p. 676-688, https://doi.org/10.1016/j.jhydrol.2017.03.001.","productDescription":"13 p.","startPage":"676","endPage":"688","ipdsId":"IP-079924","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":469900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.03.001","text":"Publisher Index Page"},{"id":340578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"551","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549fe4b022cee40dc21c","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":693332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186764,"text":"ofr20171039 - 2017 - Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington","interactions":[],"lastModifiedDate":"2017-04-27T12:58:49","indexId":"ofr20171039","displayToPublicDate":"2017-04-27T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1039","title":"Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington","docAbstract":"

Shallow landslides along coastal bluffs frequently occur in the railway corridor between Seattle and Everett, Washington. These slides disrupt passenger rail service, both because of required track maintenance and because the railroad owner, Burlington Northern Santa Fe Railway, does not allow passenger travel for 48 hours after a disruptive landslide. Sound Transit, which operates commuter trains in the corridor, is interested in a decision-making tool to help preemptively cancel passenger railway service in dangerous conditions and reallocate resources to alternative transportation.

Statistical analysis showed that a majority of landslides along the Seattle-Everett Corridor are strongly correlated with antecedent rainfall, but that 21-37 percent of recorded landslide dates experienced less than 1 inch of precipitation in the 3 days preceding the landslide and less than 4 inches of rain in the 15 days prior to the preceding 3 days. We developed two empirical thresholds to identify precipitation conditions correlated with landslide occurrence. The two thresholds are defined as P3 = 2.16-0.44P15 and P3 = 2.16-0.22P32, where P3 is the cumulative precipitation in the 3 days prior to the considered date and P15 or P32 is the cumulative precipitation in the 15 days or 32 days prior to P3 (all measurements given in inches). The two thresholds, when compared to a previously developed threshold, quantitatively improve the prediction rate.

We also investigated rainfall intensity-duration (ID) thresholds to determine whether revision would improve identification of moderate-intensity, landslide-producing storms. New, optimized ID thresholds evaluate rainstorms lasting at least 12 hours and identify landslide-inducing storms that were typically missed by previously published ID thresholds. The main advantage of the ID thresholds appears when they are combined with recent-antecedent thresholds because rainfall conditions that exceed both threshold types are more likely to induce two or more landslides than conditions that exceed only one threshold type.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171039","collaboration":"Prepared in cooperation with Sound Transit","usgsCitation":"Scheevel, C.R., Baum, R.L., Mirus, B.B., and Smith, J.B., 2017, Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington: U.S. Geological Survey Open-File Report 2017–1039, 51 p., https://doi.org/10.3133/ofr20171039.","productDescription":"vi, 51 p.","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-082570","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340454,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1039/coverthb.jpg"},{"id":340455,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1039/ofr20171039.pdf","text":"Report","size":"8.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1039"}],"country":"United States","state":"Washington","city":"Everett, Mukilteo, Seattle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123,\n 48.3\n ],\n [\n -122,\n 48.3\n ],\n [\n -122,\n 47.3\n ],\n [\n -123,\n 47.3\n ],\n [\n -123,\n 48.3\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS–966
Denver, CO 80225-0046

https://www.usgs.gov/centers/geohazards/

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-04-27","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"59030323e4b0e862d230f715","contributors":{"authors":[{"text":"Scheevel, Caroline R. 0000-0001-6921-9404 cscheevel@usgs.gov","orcid":"https://orcid.org/0000-0001-6921-9404","contributorId":190723,"corporation":false,"usgs":true,"family":"Scheevel","given":"Caroline","email":"cscheevel@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":693034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":690494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220236,"text":"70220236 - 2017 - Ongoing efforts to make ash-cloud model forecasts more accurate","interactions":[],"lastModifiedDate":"2021-04-28T13:38:32.531596","indexId":"70220236","displayToPublicDate":"2017-04-27T08:27:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesNumber":"MP-AVT-272-15","title":"Ongoing efforts to make ash-cloud model forecasts more accurate","docAbstract":"The 2010 eruption of Eyjafjallajökull volcano in Iceland changed the rules for air travel in Europe and introduced the use of restricted fly zones based on ash-cloud concentrations calculated by dispersion models. This change prompted a sustained effort to improve the accuracy of ash-cloud model forecasts. In this paper we describe how this goal is being advanced on three fronts: (1) assessing current capabilities and establishing best practices; (2) improving the accuracy of model inputs; and (3) developing strategies to automatically compare model output with observations and adjust inputs to produce the best match. Progress has been made on all three fronts. A key lesson is that accuracy can only be quantified by comparison with reliable observations, which are often elusive. Model improvements will have to be made in tandem with new technologies to observe and measure.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of impact of volcanic ash clouds on military operations","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"NATO","usgsCitation":"Mastin, L.G., Van Eaton, A.R., Schneider, D.J., and Denlinger, R.P., 2017, Ongoing efforts to make ash-cloud model forecasts more accurate, in Proceedings of impact of volcanic ash clouds on military operations, 12 p.","productDescription":"12 p.","ipdsId":"IP-084844","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":385354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385343,"type":{"id":15,"text":"Index Page"},"url":"https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/Forms/All%20MPs.aspx?RootFolder=%2Fpublications%2FSTO%20Meeting%20Proceedings%2FSTO%2DMP%2DAVT%2D272&FolderCTID=0x0120D5200078F9E87043356C409A0D30823AFA16F602008CF184CAB7588E468F5E9FA364E05BA5&View=%7B72ED425F-C31F-451C-A545-41122BBA61A7%7D"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":814871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249722,"text":"70249722 - 2017 - Pore network modeling of the electrical signature of solute transport in dual-domain media","interactions":[],"lastModifiedDate":"2023-10-25T12:18:31.73919","indexId":"70249722","displayToPublicDate":"2017-04-27T07:15:36","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pore network modeling of the electrical signature of solute transport in dual-domain media","docAbstract":"

Dual-domain models are used to explain anomalous solute transport behavior observed in diverse hydrologic settings and applications, from groundwater remediation to hyporheic exchange. To constrain such models, new methods are needed with sensitivity to both immobile and mobile domains. Recent experiments indicate that dual-domain transport of ionic tracers has an observable geoelectrical signature, appearing as a nonlinear, hysteretic relation between paired bulk and fluid electrical conductivity. Here we present a mechanistic explanation for this geoelectrical signature and evaluate assumptions underlying a previously published petrophysical model for bulk conductivity in dual-domain media. Pore network modeling of fluid flow, solute transport, and electrical conduction (1) verifies the geoelectrical signature of dual-domain transport, (2) reveals limitations of the previously used petrophysical model, and (3) demonstrates that a new petrophysical model, based on differential effective media theory, closely approximates the simulated bulk/fluid conductivity relation. These findings underscore the potential of geophysically based calibration of dual-domain models.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073326","usgsCitation":"Day-Lewis, F., Linde, N., Haggerty, R., Singha, K., and Briggs, M., 2017, Pore network modeling of the electrical signature of solute transport in dual-domain media: Geophysical Research Letters, v. 44, no. 10, p. 4908-4916, https://doi.org/10.1002/2017GL073326.","productDescription":"9 p.","startPage":"4908","endPage":"4916","ipdsId":"IP-086342","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":469902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1377933","text":"Publisher Index Page"},{"id":422094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2017-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linde, Niklas","contributorId":248575,"corporation":false,"usgs":false,"family":"Linde","given":"Niklas","email":"","affiliations":[],"preferred":false,"id":886856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Roy","contributorId":191368,"corporation":false,"usgs":false,"family":"Haggerty","given":"Roy","email":"","affiliations":[],"preferred":false,"id":886857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":886858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188558,"text":"70188558 - 2017 - Reptiles and amphibians","interactions":[],"lastModifiedDate":"2017-06-16T08:34:04","indexId":"70188558","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Reptiles and amphibians","docAbstract":"Summary – We reviewed all the peer-reviewed scientific publications we could find on the known and potential effects of wind farm development, operation, maintenance, and decommissioning on reptiles and amphibians (collectively herpetofauna) worldwide. Both groups are declining globally due to a multitude of threats including energy development. Effect studies were limited to the long-term research by the authors on Agassiz’s Desert Tortoise ecology and behavior at single operational wind farm in California, US and an analysis of the effects of wind farm installation on species richness of vertebrates including reptiles and amphibians in northwestern Portugal. Research on Agassiz’s Desert Tortoise found few demonstrable differences in biological parameters between populations in the wind farm and those in more natural habitats. High reproductive output is due to the regional climate and not to the presence or operation of the wind farm. Site operations have resulted in death and injury to a small number of adult tortoises and over the long-term tortoises now appear to avoid the areas of greatest turbine concentration. Research in Portugal using models and simulations based on empirical data show that vertebrate species richness (including herpetofauna) decreased by almost 20% after the installation of only two large monopole turbines per 250 x 250 m plot. Knowledge of the known responses of herpetofauna to various disturbances allows identification of potential impacts from construction material acquisition in offsite areas, mortality and stress due to impacts of roads and related infrastructure, destruction and modification of habitat, habitat fragmentation and barriers to gene flow, noise, vibration, electromagnetic field generation, heat from buried high voltage transmission lines, alteration of local and regional climate, predator attraction, and increased risk of fire. Research on herpetofauna lags far behind what is needed and, in particular, before-after-control-impact studies are critically needed to identify cause and effect relationships in order to develop effective mitigation strategies for any negative impacts.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife and wind farms – conflicts and solutions","language":"English","publisher":"Pelagic Publishing","usgsCitation":"Lovich, J.E., and Ennen, J., 2017, Reptiles and amphibians, chap. of Wildlife and wind farms – conflicts and solutions, v. 1, p. 97-118.","startPage":"97","endPage":"118","ipdsId":"IP-062068","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342544,"type":{"id":15,"text":"Index Page"},"url":"https://pelagicpublishing.com/collections/wildlife-and-wind-farms-martin-perrow/products/wildlife-and-wind-farms-vol-1-onshore-potential-effects"}],"volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9ad","contributors":{"editors":[{"text":"Perrow, Martin","contributorId":192982,"corporation":false,"usgs":false,"family":"Perrow","given":"Martin","email":"","affiliations":[],"preferred":false,"id":698372,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":698335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":698336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187158,"text":"70187158 - 2017 - Created mangrove wetlands store belowground carbon and surface elevation change enables them to adjust to sea-level rise","interactions":[],"lastModifiedDate":"2017-04-25T15:50:18","indexId":"70187158","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Created mangrove wetlands store belowground carbon and surface elevation change enables them to adjust to sea-level rise","docAbstract":"

Mangrove wetlands provide ecosystem services for millions of people, most prominently by providing storm protection, food and fodder. Mangrove wetlands are also valuable ecosystems for promoting carbon (C) sequestration and storage. However, loss of mangrove wetlands and these ecosystem services are a global concern, prompting the restoration and creation of mangrove wetlands as a potential solution. Here, we investigate soil surface elevation change, and its components, in created mangrove wetlands over a 25 year developmental gradient. All created mangrove wetlands were exceeding current relative sea-level rise rates (2.6 mm yr−1), with surface elevation change of 4.2–11.0 mm yr−1 compared with 1.5–7.2 mm yr−1 for nearby reference mangroves. While mangrove wetlands store C persistently in roots/soils, storage capacity is most valuable if maintained with future sea-level rise. Through empirical modeling, we discovered that properly designed creation projects may not only yield enhanced C storage, but also can facilitate wetland persistence perennially under current rates of sea-level rise and, for most sites, for over a century with projected medium accelerations in sea-level rise (IPCC RCP 6.0). Only the fastest projected accelerations in sea-level rise (IPCC RCP 8.5) led to widespread submergence and potential loss of stored C for created mangrove wetlands before 2100.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41598-017-01224-2","usgsCitation":"Krauss, K.W., Cormier, N., Osland, M.J., Kirwan, M.L., Stagg, C.L., Nestlerode, J.A., Russell, M.J., From, A., Spivak, A.C., Dantin, D.D., Harvey, J.E., and Almario, A.E., 2017, Created mangrove wetlands store belowground carbon and surface elevation change enables them to adjust to sea-level rise: Scientific Reports, v. 7, no. 1, Article 1030; 11 p., https://doi.org/10.1038/s41598-017-01224-2.","productDescription":"Article 1030; 11 p.","ipdsId":"IP-080501","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469907,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-01224-2","text":"Publisher Index Page"},{"id":438360,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RR1WC3","text":"USGS data release","linkHelpText":"Surface elevation change (VLMw) and vertical accretion data from created mangroves in Tampa Bay, Florida, USA (2011-2016)"},{"id":340411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-21","publicationStatus":"PW","scienceBaseUri":"59006061e4b0e85db3a5ddc4","contributors":{"authors":[{"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":692848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":692849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":692850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirwan, Matthew L.","contributorId":191373,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matthew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":692851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","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":692852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nestlerode, Janet A.","contributorId":191374,"corporation":false,"usgs":false,"family":"Nestlerode","given":"Janet","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Marc J.","contributorId":191375,"corporation":false,"usgs":false,"family":"Russell","given":"Marc","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692854,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"From, Andrew 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":169668,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":692855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spivak, Amanda C.","contributorId":191376,"corporation":false,"usgs":false,"family":"Spivak","given":"Amanda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692856,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dantin, Darrin D.","contributorId":191377,"corporation":false,"usgs":false,"family":"Dantin","given":"Darrin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692857,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harvey, James E.","contributorId":191378,"corporation":false,"usgs":false,"family":"Harvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":692858,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Almario, Alejandro E.","contributorId":191379,"corporation":false,"usgs":false,"family":"Almario","given":"Alejandro","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":692859,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70187126,"text":"70187126 - 2017 - Modeling the long-term effects of introduced herbivores on the spread of an invasive tree","interactions":[],"lastModifiedDate":"2017-05-18T10:59:39","indexId":"70187126","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","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":"Modeling the long-term effects of introduced herbivores on the spread of an invasive tree","docAbstract":"

Context

Melaleuca quinquenervia (Cav.) Blake (hereafter melaleuca) is an invasive tree from Australia that has spread over the freshwater ecosystems of southern Florida, displacing native vegetation, thus threatening native biodiversity. Suppression of melaleuca appears to be progressing through the introduction of insect species, the weevil, Oxiops vitiosa, and the psyllid, Boreioglycaspis melaleucae.

Objective

To improve understanding of the possible effects of herbivory on the landscape dynamics of melaleuca in native southern Florida plant communities.

Methods

We projected likely future changes in plant communities using the individual based modeling platform, JABOWA-II, by simulating successional processes occurring in two types of southern Florida habitat, cypress swamp and bay swamp, occupied by native species and melaleuca, with the impact of insect herbivores.

Results

Computer simulations show melaleuca invasion leads to decreases in density and basal area of native species, but herbivory would effectively control melaleuca to low levels, resulting in a recovery of native species. When herbivory was modeled on pure melaleuca stands, it was more effective in stands with initially larger-sized melaleuca. Although the simulated herbivory did not eliminate melaleuca, it decreased its presence dramatically in all cases, supporting the long-term effectiveness of herbivory in controlling melaleuca invasion.

Conclusions

The results provide three conclusions relevant to management: (1) The introduction of insect herbivory that has been applied to melaleuca appears sufficient to suppress melaleuca over the long term, (2) dominant native species may recover in about 50 years, and (3) regrowth of native species will further suppress melaleuca through competition.


","language":"English","publisher":"Springer","doi":"10.1007/s10980-017-0519-6","usgsCitation":"Zhang, B., DeAngelis, D.L., Rayamajhi, M.B., and Botkin, D.B., 2017, Modeling the long-term effects of introduced herbivores on the spread of an invasive tree: Landscape Ecology, v. 32, no. 6, p. 1147-1161, https://doi.org/10.1007/s10980-017-0519-6.","productDescription":"15 p.","startPage":"1147","endPage":"1161","ipdsId":"IP-070838","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":340201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"58ff0e95e4b006455f2d619c","contributors":{"authors":[{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":692638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":692637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rayamajhi, Min B.","contributorId":191306,"corporation":false,"usgs":false,"family":"Rayamajhi","given":"Min","email":"","middleInitial":"B.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":692639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Botkin, Daniel B.","contributorId":90917,"corporation":false,"usgs":false,"family":"Botkin","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":692640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187150,"text":"70187150 - 2017 - Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations","interactions":[],"lastModifiedDate":"2017-11-22T16:59:42","indexId":"70187150","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations","docAbstract":"

Dispersal can impact population dynamics and geographic variation, and thus, genetic approaches that can establish which landscape factors influence population connectivity have ecological and evolutionary importance. Mixed models that account for the error structure of pairwise datasets are increasingly used to compare models relating genetic differentiation to pairwise measures of landscape resistance. A model selection framework based on information criteria metrics or explained variance may help disentangle the ecological and landscape factors influencing genetic structure, yet there are currently no consensus for the best protocols. Here, we develop landscape-directed simulations and test a series of replicates that emulate independent empirical datasets of two species with different life history characteristics (greater sage-grouse; eastern foxsnake). We determined that in our simulated scenarios, AIC and BIC were the best model selection indices and that marginal R2 values were biased toward more complex models. The model coefficients for landscape variables generally reflected the underlying dispersal model with confidence intervals that did not overlap with zero across the entire model set. When we controlled for geographic distance, variables not in the underlying dispersal models (i.e., nontrue) typically overlapped zero. Our study helps establish methods for using linear mixed models to identify the features underlying patterns of dispersal across a variety of landscapes.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2825","usgsCitation":"Row, J.R., Knick, S.T., Oyler-McCance, S.J., Lougheed, S.C., and Fedy, B.C., 2017, Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations: Ecology and Evolution, v. 7, no. 11, p. 3751-3761, https://doi.org/10.1002/ece3.2825.","productDescription":"11 p.","startPage":"3751","endPage":"3761","ipdsId":"IP-064858","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2825","text":"Publisher Index Page"},{"id":340392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59006062e4b0e85db3a5ddcb","contributors":{"authors":[{"text":"Row, Jeffery R.","contributorId":191345,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":692780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":692782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lougheed, Stephen C.","contributorId":191346,"corporation":false,"usgs":false,"family":"Lougheed","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fedy, Bradley C.","contributorId":191347,"corporation":false,"usgs":false,"family":"Fedy","given":"Bradley","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}