{"pageNumber":"565","pageRowStart":"14100","pageSize":"25","recordCount":40783,"records":[{"id":70173498,"text":"70173498 - 2015 - Ecological effects of the harvest phase of geoduck clam (Panopea generosa Gould, 1850) aquaculture on infaunal communities in southern Puget Sound, Washington USA.","interactions":[],"lastModifiedDate":"2016-06-09T15:44:06","indexId":"70173498","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of the harvest phase of geoduck clam (Panopea generosa Gould, 1850) aquaculture on infaunal communities in southern Puget Sound, Washington USA.","docAbstract":"

Intertidal aquaculture for geoducks (Panopea generosa Gould, 1850) is expanding in southern Puget Sound, Washington, where gently sloping sandy beaches are used for field culture. Geoduck aquaculture contributes significantly to the regional economy, but has become controversial because of a range of unresolved questions involving potential biological impacts on marine ecosystems. From 2008 through 2012, the authors used a “before-after-control-impact” experimental design, emphasizing spatial scales comparable with those used by geoduck culturists to evaluate the effects of harvesting market-ready geoducks on associated benthic infaunal communities. Infauna were sampled at three different study locations in southern Puget Sound at monthly intervals before, during, and after harvests of clams, and along extralimital transects extending away from the edges of cultured plots to assess the effects of harvest activities in adjacent uncultured habitat. Using multivariate statistical approaches, strong seasonal and spatial signals in patterns of abundance were found, but there was scant evidence of effects on the community structure associated with geoduck harvest disturbances within cultured plots. Likewise, no indications of significant “spillover” effects of harvest on uncultured habitat adjacent to cultured plots were noted. Complementary univariate approaches revealed little evidence of harvest effects on infaunal biodiversity and indications of modest effects on populations of individual infaunal taxa. Of 10 common taxa analyzed, only three showed evidence of reduced densities, although minor, after harvests whereas the remaining seven taxa indicated either neutral responses to harvest disturbances or increased abundance either during or in the months after harvest events. It is suggested that a relatively active natural disturbance regime, including both small-scale and large-scale events that occur with comparable intensity but more frequently than geoduck harvest events in cultured plots, has facilitated assemblage-level infaunal resistance and resilience to harvest disturbances.

","language":"English","publisher":"Bioone","doi":"10.2983/035.034.0121","usgsCitation":"VanBlaricom, G.R., Eccles, J.L., Olden, J., and Mcdonald, P.S., 2015, Ecological effects of the harvest phase of geoduck clam (Panopea generosa Gould, 1850) aquaculture on infaunal communities in southern Puget Sound, Washington USA.: Journal of Shellfish Research, v. 34, no. 1, p. 171-187, https://doi.org/10.2983/035.034.0121.","productDescription":"17 p.","startPage":"171","endPage":"187","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054625","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.057861328125,\n 48.21735290928554\n ],\n [\n -122.16796875,\n 48.23199134320962\n ],\n [\n -122.29980468749999,\n 47.15984001304432\n ],\n [\n -122.96997070312499,\n 47.14489748555398\n ],\n [\n -123.04687499999999,\n 48.085418575511994\n ],\n [\n -123.057861328125,\n 48.21735290928554\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9331e4b04f417c275139","contributors":{"authors":[{"text":"VanBlaricom, Glenn R. glennvb@usgs.gov","contributorId":3540,"corporation":false,"usgs":true,"family":"VanBlaricom","given":"Glenn","email":"glennvb@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eccles, Jennifer L.","contributorId":171698,"corporation":false,"usgs":false,"family":"Eccles","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":638325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcdonald, P. Sean","contributorId":171699,"corporation":false,"usgs":false,"family":"Mcdonald","given":"P.","email":"","middleInitial":"Sean","affiliations":[],"preferred":false,"id":638326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173666,"text":"70173666 - 2015 - Accounting for imperfect detection in Hill numbers for biodiversity studies","interactions":[],"lastModifiedDate":"2016-06-08T10:04:36","indexId":"70173666","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Accounting for imperfect detection in Hill numbers for biodiversity studies","docAbstract":"
    \n
  1. Hill numbers unify biodiversity metrics by combining several into one expression. For example, species richness, Shannon's diversity index and the Gini–Simpson index are a few of the most used diversity measures, and they can be expressed as Hill numbers. Traditionally, Hill numbers have been calculated from relative abundance data, but the expression has been modified to use incidence data as well. We demonstrate an approach for estimating Hill numbers using an occupancy modelling framework that accounts for imperfect detection.
    2. \n
  2. We alter the Hill numbers formula to use occupancy probabilities as opposed to the incidence probabilities that have been used previously and to calculate its summations from the modelled species richness. After introducing the occupancy-based Hill numbers, we demonstrate the differences between them and the incidence-based Hill numbers previously used through a simulation study and two applications.
    3. \n
  3. In the simulation study and the two examples using real data, the occupancy-based Hill numbers were larger than the incidence-based Hill numbers, although species richness was estimated similarly using both methods.
    4. \n
  4. The occupancy-based Hill number estimators are always at their asymptotic values (i.e. as if an infinite number of samples have been taken for the study region), therefore making it easy to compare biodiversity between different assemblages. In addition, the Hill numbers are computed as derived quantities within a Bayesian hierarchical model, allowing for straightforward inference.
    5. \n
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12296","usgsCitation":"Broms, K.M., Hooten, M., and Fitzpatrick, R.M., 2015, Accounting for imperfect detection in Hill numbers for biodiversity studies: Methods in Ecology and Evolution, v. 6, no. 1, p. 99-108, https://doi.org/10.1111/2041-210X.12296.","productDescription":"10 p.","startPage":"99","endPage":"108","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058266","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-02","publicationStatus":"PW","scienceBaseUri":"575941b5e4b04f417c25677d","contributors":{"authors":[{"text":"Broms, Kristin M.","contributorId":171524,"corporation":false,"usgs":false,"family":"Broms","given":"Kristin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637830,"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":637474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Ryan M.","contributorId":55746,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Ryan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637831,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173665,"text":"70173665 - 2015 - Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification","interactions":[],"lastModifiedDate":"2016-06-08T10:07:41","indexId":"70173665","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification","docAbstract":"

In spatial generalized linear mixed models (SGLMMs), covariates that are spatially smooth are often collinear with spatially smooth random effects. This phenomenon is known as spatial confounding and has been studied primarily in the case where the spatial support of the process being studied is discrete (e.g., areal spatial data). In this case, the most common approach suggested is restricted spatial regression (RSR) in which the spatial random effects are constrained to be orthogonal to the fixed effects. We consider spatial confounding and RSR in the geostatistical (continuous spatial support) setting. We show that RSR provides computational benefits relative to the confounded SGLMM, but that Bayesian credible intervals under RSR can be inappropriately narrow under model misspecification. We propose a posterior predictive approach to alleviating this potential problem and discuss the appropriateness of RSR in a variety of situations. We illustrate RSR and SGLMM approaches through simulation studies and an analysis of malaria frequencies in The Gambia, Africa.

","language":"English","publisher":"International Environmetrics Society","doi":"10.1002/env.2331","usgsCitation":"Hanks, E., Schliep, E.M., Hooten, M., and Hoeting, J.A., 2015, Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification: Environmetrics, v. 26, no. 4, p. 243-254, https://doi.org/10.1002/env.2331.","productDescription":"12 p.","startPage":"243","endPage":"254","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059661","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-18","publicationStatus":"PW","scienceBaseUri":"57594230e4b04f417c256980","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":104630,"corporation":false,"usgs":true,"family":"Hanks","given":"Ephraim M.","affiliations":[],"preferred":false,"id":637832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schliep, Erin M.","contributorId":171525,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":637473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoeting, Jennifer A.","contributorId":168403,"corporation":false,"usgs":false,"family":"Hoeting","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":637834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174155,"text":"70174155 - 2015 - Day-roost tree selection by northern long-eared bats - What do non-roost tree comparisons and one year of data really tell us?","interactions":[],"lastModifiedDate":"2016-07-18T16:02:10","indexId":"70174155","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Day-roost tree selection by northern long-eared bats - What do non-roost tree comparisons and one year of data really tell us?","docAbstract":"

Bat day-roost selection often is described through comparisons of day-roosts with randomly selected, and assumed unused, trees. Relatively few studies, however, look at patterns of multi-year selection or compare day-roosts used across years. We explored day-roost selection using 2 years of roost selection data for female northern long-eared bats (Myotis septentrionalis) on the Fort Knox Military Reservation, Kentucky, USA. We compared characteristics of randomly selected non-roost trees and day-roosts using a multinomial logistic model and day-roost species selection using chi-squared tests. We found that factors differentiating day-roosts from non-roosts and day-roosts between years varied. Day-roosts differed from non-roosts in the first year of data in all measured factors, but only in size and decay stage in the second year. Between years, day-roosts differed in size and canopy position, but not decay stage. Day-roost species selection was non-random and did not differ between years. Although bats used multiple trees, our results suggest that there were additional unused trees that were suitable as roosts at any time. Day-roost selection pattern descriptions will be inadequate if based only on a single year of data, and inferences of roost selection based only on comparisons of roost to non-roosts should be limited.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.gecco.2015.03.008","usgsCitation":"Silvis, A., Ford, W., and Britzke, E.R., 2015, Day-roost tree selection by northern long-eared bats - What do non-roost tree comparisons and one year of data really tell us?: Global Ecology and Conservation, v. 3, p. 756-763, https://doi.org/10.1016/j.gecco.2015.03.008.","productDescription":"8 p.","startPage":"756","endPage":"763","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040382","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2015.03.008","text":"Publisher Index Page"},{"id":325401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Fort Knox Military Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.00749969482422,\n 37.86455455760559\n ],\n [\n -86.00749969482422,\n 37.98993962366689\n ],\n [\n -85.81558227539062,\n 37.98993962366689\n ],\n [\n -85.81558227539062,\n 37.86455455760559\n ],\n [\n -86.00749969482422,\n 37.86455455760559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdb0e4b0f1bea0e0f82c","contributors":{"authors":[{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":642785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":641002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":642786,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048179,"text":"70048179 - 2015 - Lake formation, characteristics and evolution in retroarc deposystems: A synthesis of data from the modern Andean orogen and its associated basins","interactions":[],"lastModifiedDate":"2018-07-17T09:41:09","indexId":"70048179","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lake formation, characteristics and evolution in retroarc deposystems: A synthesis of data from the modern Andean orogen and its associated basins","docAbstract":"

Lake deposystems are commonly associated with retroarc mountain belts in the geological record. These deposystems are poorly characterized in modern retroarcs, placing limits on our ability to interpret environmental signals from ancient deposits. To address this problem, we have synthesized our existing knowledge about the distribution, morphometrics, and sedimentary geochemical characteristics of tectonically formed lakes in the central Andean retroarc. Large, active mountain belts such as the Andes frequently create an excess of sediment, to the point that modeling and observational data both suggest their adjacent retroarc basins will be rapidly overfilled by sediments. Lake formation, requiring topographic closure, demands special conditions such as topographic isolation and arid climatic conditions to reduce sediment generation, and bedrock lithologies that yield little siliciclastic sediment.

Lacustrine deposition in the modern Andean retroarc has different characteristics in the six major morphotectonic zones discussed. (1) High-elevation hinterland basins of the arid Puna-Altiplano Plateau frequently contain underfilled and balanced-filled lakes that are potentially long-lived and display relatively rapid sedimentation rates. (2) Lakes are rare in piggyback basins, although a transition zone exists where basins that originally formed as piggybacks are transferred to the hinterland through forward propagation of the thrust belt. Here, lakes are moderately abundant and long-lived and display somewhat lower sedimentation rates than in the hinterland. (3) Wedge-top and (4) foredeep deposystems of the Andean retroarc are generally overfilled, and lakes are small and ephemeral. (5) Semihumid Andean back-bulge basins contain abundant small lakes, which are moderately long-lived because of underfilling by sediment and low sedimentation rates. (6) Broken foreland lakes are common, typically underfilled, large, and long-lived playa or shallow systems.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geodynamic of a cordilleran orogenic system: The central Andes of Argentina and northern Chile ","publisher":"Geological Society of America","doi":"10.1130/2015.1212(16)","usgsCitation":"Cohen, A.S., McGlue, M., Ellis, G.S., Zani, H., Swarzenski, P.W., Assine, M.L., and Silva, A., 2015, Lake formation, characteristics and evolution in retroarc deposystems: A synthesis of data from the modern Andean orogen and its associated basins, chap. of Geodynamic of a cordilleran orogenic system: The central Andes of Argentina and northern Chile , v. 212, p. 309-335, https://doi.org/10.1130/2015.1212(16).","productDescription":"27 p.","startPage":"309","endPage":"335","ipdsId":"IP-043891","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488780,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11449/227914","text":"External Repository"},{"id":355704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Andes Mountains","volume":"212","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fcc80e4b0f5d57878ece3","contributors":{"editors":[{"text":"DeCelles, Peter G.","contributorId":16318,"corporation":false,"usgs":true,"family":"DeCelles","given":"Peter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":740145,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ducea, Mihai N.","contributorId":86913,"corporation":false,"usgs":true,"family":"Ducea","given":"Mihai N.","affiliations":[],"preferred":false,"id":740146,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Carrapa, Barbara","contributorId":9958,"corporation":false,"usgs":true,"family":"Carrapa","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":740147,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Kapp, Paul","contributorId":79402,"corporation":false,"usgs":true,"family":"Kapp","given":"Paul","email":"","affiliations":[],"preferred":false,"id":740148,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Cohen, Andrew S.","contributorId":138496,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":740141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGlue, Michael M.","contributorId":118649,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael M.","affiliations":[],"preferred":false,"id":518193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":518192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zani, Hiran","contributorId":29119,"corporation":false,"usgs":true,"family":"Zani","given":"Hiran","email":"","affiliations":[],"preferred":false,"id":740142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":518194,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Assine, Mario L.","contributorId":102618,"corporation":false,"usgs":true,"family":"Assine","given":"Mario","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":740143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silva, Aguinaldo","contributorId":15750,"corporation":false,"usgs":true,"family":"Silva","given":"Aguinaldo","email":"","affiliations":[],"preferred":false,"id":740144,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159479,"text":"70159479 - 2015 - Bioenergetics modeling of percid fishes","interactions":[],"lastModifiedDate":"2022-12-08T17:12:39.27963","indexId":"70159479","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Bioenergetics modeling of percid fishes","docAbstract":"

A bioenergetics model for a percid fish represents a quantitative description of the fish’s energy budget. Bioenergetics modeling can be used to identify the important factors determining growth of percids in lakes, rivers, or seas. For example, bioenergetics modeling applied to yellow perch (Perca flavescens) in the western and central basins of Lake Erie revealed that the slower growth in the western basin was attributable to limitations in suitably sized prey in western Lake Erie, rather than differences in water temperature between the two basins. Bioenergetics modeling can also be applied to a percid population to estimate the amount of food being annually consumed by the percid population. For example, bioenergetics modeling applied to the walleye (Sander vitreus) population in Lake Erie has provided fishery managers valuable insights into changes in the population’s predatory demand over time. In addition, bioenergetics modeling has been used to quantify the effect of the difference in growth between the sexes on contaminant accumulation in walleye. Field and laboratory evaluations of percid bioenergetics model performance have documented a systematic bias, such that the models overestimate consumption at low feeding rates but underestimate consumption at high feeding rates. However, more recent studies have shown that this systematic bias was due, at least in part, to an error in the energy budget balancing algorithm used in the computer software. Future research work is needed to more thoroughly assess the field and laboratory performance of percid bioenergetics models and to quantify differences in activity and standard metabolic rate between the sexes of mature percids.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and culture of percid fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-017-7227-3_14","usgsCitation":"Madenjian, C.P., 2015, Bioenergetics modeling of percid fishes, chap. 14 of Biology and culture of percid fishes, p. 369-397, https://doi.org/10.1007/978-94-017-7227-3_14.","productDescription":"19 p.","startPage":"369","endPage":"397","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052084","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":311097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563ddd3fe4b0831b7d6271e8","contributors":{"editors":[{"text":"Kestemont, Patrick","contributorId":172551,"corporation":false,"usgs":false,"family":"Kestemont","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":641233,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dabrowski, Konrad","contributorId":172552,"corporation":false,"usgs":false,"family":"Dabrowski","given":"Konrad","email":"","affiliations":[],"preferred":false,"id":641234,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Summerfelt, Robert C.","contributorId":172553,"corporation":false,"usgs":false,"family":"Summerfelt","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":641235,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":579139,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148409,"text":"70148409 - 2015 - Using the Maxent program for species distribution modelling to assess invasion risk","interactions":[],"lastModifiedDate":"2015-10-27T16:32:52","indexId":"70148409","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Using the Maxent program for species distribution modelling to assess invasion risk","docAbstract":"

MAXENT is a software package used to relate known species occurrences to information describing the environment, such as climate, topography, anthropogenic features or soil data, and forecast the presence or absence of a species at unsampled locations. This particular method is one of the most popular species distribution modelling techniques because of its consistent strong predictive performance and its ease to implement. This chapter discusses the decisions and techniques needed to prepare a correlative climate matching model for the native range of an invasive alien species and use this model to predict the potential distribution of this species in a potentially invaded range (i.e. a novel environment) by using MAXENT for the Burmese python (Python molurus bivittatus) as a case study. The chapter discusses and demonstrates the challenges that are associated with this approach and examines the inherent limitations that come with using MAXENT to forecast distributions of invasive alien species.

","largerWorkTitle":"Pest Risk Modelling and Mapping for Invasive Alien Species","language":"English","publisher":"CAB International","doi":"10.1079/9781780643946.0065","usgsCitation":"Jarnevich, C.S., and Young, N.E., 2015, Using the Maxent program for species distribution modelling to assess invasion risk, chap. of Pest Risk Modelling and Mapping for Invasive Alien Species, p. 65-81, https://doi.org/10.1079/9781780643946.0065.","productDescription":"17 p.","startPage":"65","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052877","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":310691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5630a05ae4b093cee7820442","contributors":{"editors":[{"text":"Venette, R.C","contributorId":149459,"corporation":false,"usgs":false,"family":"Venette","given":"R.C","affiliations":[],"preferred":false,"id":578495,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Nicholas E.","contributorId":58572,"corporation":false,"usgs":true,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":548045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70112434,"text":"70112434 - 2015 - Sea lamprey mark type, wounding rate, and parasite-host preference and abundance relationships for lake trout and other species in Lake Ontario","interactions":[],"lastModifiedDate":"2020-09-25T13:30:47.140171","indexId":"70112434","displayToPublicDate":"2014-12-31T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Sea lamprey mark type, wounding rate, and parasite-host preference and abundance relationships for lake trout and other species in Lake Ontario","docAbstract":"

We examined how the frequency of attacks by Sea Lamprey on fishes in Lake Ontario varied in response to Sea Lamprey abundance and preferred host abundance (Lake Trout >432mm). For this analysis we assembled seven data sets. Two fishery independent surveys for Lake Trout: US Geological Survey (USGS)/New York State Department of Environmental Conservation (NYSDEC) south shore September gillnet assessment of adult Lake Trout (USGS/NYSDEC SGNS)(Lantry and Lantry 2011); and Ontario Ministry of Natural Resources (OMNR) monthly June-November community index gillnetting in northeastern Lake Ontario (OMNR CIS) (Ontario Ministry of Natural Resources 2011). One angler survey: NYSDEC April-September Fishing Boat Survey data collected along the south shore for Chinook and Coho salmon, and Rainbow and Brown trout (NYSDEC FBS) (Lantry and Eckert 2012). Two spawning run datasets: OMNR north shore data including spring spawning runs of Rainbow Trout in the Ganaraska River and electroshocking data for fall spawning runs of Chinook and Coho salmon in the Credit River (Ontario Ministry of Natural Resources 2011); and NYSDEC data from the Salmon River on the southeastern shore including October spawning runs of Chinook and Coho salmon. One Sea Lamprey spawning survey: Department of Fisheries and Oceans Canada (DFO)/US Fish and Wildlife Service (USFWS) data for spawning-phase Sea Lamprey abundance collected from known spawning streams distributed throughout the Lake Ontario drainage basin (Mullet et al. 2003). One assessment of the abundance of dead Lake Trout: USGS/NYSDEC October-November bottom trawl collection of Lake Trout carcasses (Schneider et al. 1996).

Annual patterns in A1, A2 and A3 wound stages did not track well in plots of wounding rates for the USGS/NYSDEC SGNS and correlations between A1 and later stages did not exist. A1 rates were not correlated to either Lake Trout abundance or Sea Lamprey numbers when considered alone, but were strongly correlated to the ratio between Sea Lamprey numbers and Lake Trout abundance (parasite/host ratio). While A2 and A3 rates were correlated to each other, neither was consistently correlated to any of the Lake Trout abundance or Sea Lamprey abundance parameters and sums of A1 to A3 rates did not improve correlations over those for A1 rates considered alone. Our analysis of the strain-specific susceptibility of Lake Trout to attack by Sea Lampreys extended the previous Schneider et al. (1996) analysis of three strains (SUP, CWL, and SEN) and 11 years of data 1982-1992 to an analysis of seven strains (SUP, CWL, SEN, JEN, LEW, ONT, and OXS) and two groups of unmarked fish (1983-1995 and 1996-2010) and included 18 more years of data through 2010. The susceptibility to attack for CWLs and SENs were below SUPs and nearly identical to the earlier values, new values for LEWs were greater than SUPS and values of unmarked Lake Trout prior to 1996 were unexpectedly greater than SUPs. By reexamining the Schneider et al. (1996) regression relationship between A1 wounding on Lake Trout and the incidence of Lake Trout carcasses recovered in fall bottom trawls (including three additional years of data), and substituting A1 wounding rate for total numbers of A1s observed which was used as the independent variable in the previous version, we were able to increase the variance explained by the relationship from an r2 of 0.60 to 0.88. Healing rate of wounds was explored by examining the monthly incidence of A1 and A2 wounds on Lake Trout from the OMNR CIS. Because wounding intensity varied between years and monthly sample size was frequently low, the ratio of A2 to A1s wounds was used to index how wounds accumulated or disappeared from the Lake Trout populations across seasons. The A2/A1 ratio decreased between June/July and October. A simple wounding model for Lake Trout was constructed to simulate the pattern of ratios by inflicting wounds on the population each month according to a predetermined distribution and including parameters for lethality (fixed distribution) and healing rate of A1 and A2 wounds (discretely varied between simulations). The best simulated representation (ratio size and monthly pattern) of the OMNR CIS data came from an A1 healing rate of 0.5 months and an A2 rate of 2 months. To examine whether alternate hosts provided reliable data to index damage caused by Sea Lampreys we compared September values of abundance and A1 wounding rates on Lake Trout, Sea Lamprey abundance, and the parasite/host ratio with NYSDEC Creel data for observations of Sea lampreys attached to sport-caught salmonids and to wounding observations for salmonids sampled in OMNR and NYSDEC spawning run assessments. Attachment frequency on NYSDEC Creel Chinook Salmon, Brown Trout, and Rainbow Trout were strongly correlated to all measures of Lake Trout abundance and wounding and to the parasite/host ratio. Chinook Salmon and Coho Salmon wounding observations for the NYSDEC Salmon River spawning run assessments and Rainbow Trout from the OMNR Ganaraska River spawning run assessment were strongly correlated to wounding measures for nearly all salmonids and to the parasite/host ratio.

","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","usgsCitation":"Lantry, B.F., Adams, J., Christie, G., Schaner, T., Bowlby, J., Keir, M., Lantry, J., Sullivan, P., Bishop, D., Treska, T., and Morrison, B., 2015, Sea lamprey mark type, wounding rate, and parasite-host preference and abundance relationships for lake trout and other species in Lake Ontario.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043637","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378722,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/Lantry_2014.html"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.134521484375,\n 43.8028187190472\n ],\n [\n -79.5849609375,\n 43.60426186809618\n ],\n [\n -79.87060546875,\n 43.28520334369384\n ],\n [\n -79.332275390625,\n 43.20517581723733\n ],\n [\n -78.585205078125,\n 43.37311218382002\n ],\n [\n -78.134765625,\n 43.37311218382002\n ],\n [\n -77.794189453125,\n 43.33316939281732\n ],\n [\n -77.53051757812499,\n 43.24520272203356\n ],\n [\n -77.200927734375,\n 43.28520334369384\n ],\n [\n -76.9482421875,\n 43.23719944365308\n ],\n [\n -76.695556640625,\n 43.33316939281732\n ],\n [\n -76.651611328125,\n 43.42100882994726\n ],\n [\n -76.39892578125,\n 43.50872101129684\n ],\n [\n -76.201171875,\n 43.52465500687188\n ],\n [\n -76.168212890625,\n 43.667871610117494\n ],\n [\n -76.256103515625,\n 43.83452678223682\n ],\n [\n -76.09130859375,\n 43.929549935614595\n ],\n [\n -76.300048828125,\n 44.06390660801779\n ],\n [\n -76.519775390625,\n 44.213709909702054\n ],\n [\n -76.86035156249999,\n 44.08758502824518\n ],\n [\n -77.091064453125,\n 43.858296779161826\n ],\n [\n -77.607421875,\n 44.03232064275084\n ],\n [\n -78.37646484375,\n 43.937461690316646\n ],\n [\n -79.134521484375,\n 43.8028187190472\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56826b47e4b0a04ef4925b9a","contributors":{"authors":[{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean","contributorId":150823,"corporation":false,"usgs":false,"family":"Adams","given":"Jean","affiliations":[],"preferred":false,"id":583123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christie, Gavin","contributorId":14778,"corporation":false,"usgs":true,"family":"Christie","given":"Gavin","affiliations":[],"preferred":false,"id":583124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaner, Teodore","contributorId":141099,"corporation":false,"usgs":false,"family":"Schaner","given":"Teodore","email":"","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":583125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowlby, James","contributorId":141100,"corporation":false,"usgs":false,"family":"Bowlby","given":"James","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":583126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keir, Michael","contributorId":141101,"corporation":false,"usgs":false,"family":"Keir","given":"Michael","affiliations":[{"id":6779,"text":"Environment Canada, Burlington, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":583127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lantry, Jana","contributorId":141102,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":583128,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sullivan, Paul","contributorId":141103,"corporation":false,"usgs":false,"family":"Sullivan","given":"Paul","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":583129,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bishop, Daniel","contributorId":141104,"corporation":false,"usgs":false,"family":"Bishop","given":"Daniel","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":583130,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Treska, Ted","contributorId":141105,"corporation":false,"usgs":false,"family":"Treska","given":"Ted","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":583493,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morrison, Bruce","contributorId":141106,"corporation":false,"usgs":false,"family":"Morrison","given":"Bruce","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":583494,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70141018,"text":"70141018 - 2015 - An updated conceptual model of Delta Smelt biology: Our evolving understanding of an estuarine fish","interactions":[],"lastModifiedDate":"2020-03-10T06:55:47","indexId":"70141018","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"90","title":"An updated conceptual model of Delta Smelt biology: Our evolving understanding of an estuarine fish","docAbstract":"

The main purpose of this report is to provide an up-to-date assessment and conceptual model of factors affecting Delta Smelt (Hypomesus transpacificus) throughout its primarily annual life cycle and to demonstrate how this conceptual model can be used for scientific and management purposes. The Delta Smelt is a small estuarine fish that only occurs in the San Francisco Estuary. Once abundant, it is now rare and has been protected under the federal and California Endangered Species Acts since 1993. The Delta Smelt listing was related to a step decline in the early 1980s; however, population abundance decreased even further with the onset of the “pelagic organism decline” (POD) around 2002. A substantial, albeit short-lived, increase in abundance of all life stages in 2011 showed that the Delta Smelt population can still rebound when conditions are favorable for spawning, growth, and survival. In this report, we update previous conceptual models for Delta Smelt to reflect new data and information since the release of the last synthesis report about the POD by the Interagency Ecological Program for the San Francisco Estuary (IEP) in 2010. Specific objectives include: 1. Provide decision makers with a practical tool for evaluating difficult trade-offs associated with management and policy decisions. 2. Provide scientists with a framework from which they can formulate and evaluate hypotheses using qualitative or quantitative models. 3. Provide the general public with a new way of learning about Delta Smelt and their habitat. Our updated conceptual model describes the habitat conditions and ecosystem drivers affecting each Delta Smelt life stage, across seasons and how the seasonal effects contribute to the annual success of the species. The conceptual model consists of two nested and linked levels of increasing specificity. The general life cycle conceptual model for four Delta Smelt life stages (adults, eggs and larvae, juveniles, and subadults) includes stationary ecosystem components and dynamic environmental drivers, habitat attributes, and Delta Smelt responses. The more detailed life stage transition conceptual models for each of the four Delta Smelt life stages describe relationships between environmental drivers, key habitat attributes, and the responses of Delta Smelt to habitat attributes as they transition from one life stage to the next. Our analyses and conceptual model show that good larval recruitment is essential for setting the stage for a strong year class; however, increased growth and survival through subsequent life stages are also needed to achieve and sustain higher population abundance. We used our conceptual model to generate 16 hypotheses about the factors that may have contributed to the 2011 increase in Delta Smelt relative abundance. We then evaluated these hypotheses by comparing habitat conditions and Delta Smelt responses in the wet year 2011 to those in the prior wet year 2006 and in the drier years 2005 and 2010. Larval recruitment was similarly high in both wet years and lower in the drier antecedent years, but juvenile and adult abundance increased only in 2011. In 2005 and 2006, the population was limited by very poor survival from the larval to the juvenile life stage. We found that in 2011, Delta Smelt may have benefitted from a combination of favorable habitat conditions throughout the year, including: 1. Adults and larvae benefitted from prolonged cool spring water temperatures, high 2011 winter and spring outflows which reduced entrainment risk and possibly improved other habitat conditions, and possibly enhanced food availability in late spring. 2. Juveniles benefitted from cool water temperatures in late spring and early summer as well as from improved food availability and low levels of harmful Microcystis. 3. Subadults also benefitted from improved food availability and from favorable habitat conditions in the large, low salinity zone (salinity 1-6) located more toward Suisun Bay,

","language":"English","publisher":"Interagency Ecological Program, California Department of Water Resources","usgsCitation":"Baxter, R., Brown, L.R., Castillo, G., Conrad, L., Culberson, S.D., Dekar, M.P., Dekar, M., Feyrer, F., Hunt, T., Jones, K., Kirsch, J., Mueller-Solger, A., Nobriga, M., Slater, S., Sommer, T., Souza, K., Erickson, G., Fong, S., Gehrts, K., Grimaldo, L., and Herbold, B., 2015, An updated conceptual model of Delta Smelt biology: Our evolving understanding of an estuarine fish: Technical Report 90, xvi, 206 p.","productDescription":"xvi, 206 p.","ipdsId":"IP-052945","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":342379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297928,"type":{"id":11,"text":"Document"},"url":"https://www.waterboards.ca.gov/waterrights/water_issues/programs/bay_delta/california_waterfix/exhibits/docs/petitioners_exhibit/dwr/part2/DWR-1089%20IEP_MAST_Team_2015_Delta_Smelt_MAST_Synthesis_Report_January%202015.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.24899291992188,\n 37.90953361677018\n ],\n [\n -121.61865234375,\n 37.90953361677018\n ],\n [\n -121.61865234375,\n 38.187466178077905\n ],\n [\n -122.24899291992188,\n 38.187466178077905\n ],\n [\n -122.24899291992188,\n 37.90953361677018\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa838e4b0764e6c627995","contributors":{"authors":[{"text":"Baxter, Randy","contributorId":119345,"corporation":false,"usgs":true,"family":"Baxter","given":"Randy","email":"","affiliations":[],"preferred":false,"id":540490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castillo, Gonzalo","contributorId":46806,"corporation":false,"usgs":true,"family":"Castillo","given":"Gonzalo","email":"","affiliations":[],"preferred":false,"id":540491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, Louise","contributorId":65398,"corporation":false,"usgs":true,"family":"Conrad","given":"Louise","affiliations":[],"preferred":false,"id":540492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culberson, Steven D.","contributorId":82166,"corporation":false,"usgs":true,"family":"Culberson","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":540493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dekar, Matthew P.","contributorId":139245,"corporation":false,"usgs":false,"family":"Dekar","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":540494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dekar, Melissa","contributorId":192843,"corporation":false,"usgs":false,"family":"Dekar","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":697862,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Feyrer, Frederick 0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":106736,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","affiliations":[],"preferred":false,"id":540495,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunt, Thaddeus","contributorId":139246,"corporation":false,"usgs":false,"family":"Hunt","given":"Thaddeus","email":"","affiliations":[{"id":12702,"text":"California State Water Resources Control Board","active":true,"usgs":false}],"preferred":false,"id":540498,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, Kristopher","contributorId":192844,"corporation":false,"usgs":false,"family":"Jones","given":"Kristopher","email":"","affiliations":[],"preferred":false,"id":697863,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kirsch, Joseph","contributorId":41354,"corporation":false,"usgs":true,"family":"Kirsch","given":"Joseph","affiliations":[],"preferred":false,"id":540499,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mueller-Solger, Anke","contributorId":99059,"corporation":false,"usgs":true,"family":"Mueller-Solger","given":"Anke","affiliations":[],"preferred":false,"id":540500,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nobriga, Matthew","contributorId":139247,"corporation":false,"usgs":false,"family":"Nobriga","given":"Matthew","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":540501,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Slater, Steven B.","contributorId":85102,"corporation":false,"usgs":true,"family":"Slater","given":"Steven B.","affiliations":[],"preferred":false,"id":540502,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sommer, Ted","contributorId":105242,"corporation":false,"usgs":true,"family":"Sommer","given":"Ted","email":"","affiliations":[],"preferred":false,"id":540503,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Souza, Kelly","contributorId":53308,"corporation":false,"usgs":true,"family":"Souza","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":540504,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Erickson, Gregg","contributorId":67428,"corporation":false,"usgs":true,"family":"Erickson","given":"Gregg","email":"","affiliations":[],"preferred":false,"id":540507,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Fong, Stephanie","contributorId":45233,"corporation":false,"usgs":true,"family":"Fong","given":"Stephanie","affiliations":[],"preferred":false,"id":540506,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Gehrts, Karen","contributorId":46881,"corporation":false,"usgs":true,"family":"Gehrts","given":"Karen","email":"","affiliations":[],"preferred":false,"id":540496,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Grimaldo, Lenny","contributorId":10728,"corporation":false,"usgs":false,"family":"Grimaldo","given":"Lenny","email":"","affiliations":[{"id":35724,"text":"ICF, San Francisco, USA","active":true,"usgs":false}],"preferred":false,"id":540497,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Herbold, Bruce","contributorId":51223,"corporation":false,"usgs":false,"family":"Herbold","given":"Bruce","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":540505,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70138510,"text":"70138510 - 2015 - Uranium Sequestration During Biostimulated Reduction and In Response to the Return of Oxic Conditions In Shallow Aquifers","interactions":[],"lastModifiedDate":"2017-06-12T11:20:41","indexId":"70138510","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NUREG/CR-7178","title":"Uranium Sequestration During Biostimulated Reduction and In Response to the Return of Oxic Conditions In Shallow Aquifers","docAbstract":"

A proposed approach for groundwater remediation of uranium contamination is to generate reducing conditions by stimulating the growth of microbial populations through injection of electron donor compounds into the subsurface. Sufficiently reducing conditions will result in reduction of soluble hexavalent uranium, U(VI), and precipitation of the less soluble +4 oxidation state uranium, U(IV). This process is termed biostimulated reduction. A key issue in the remediation of uranium (U) contamination in aquifers by biostimulated reduction is the long term stability of the sequestered uranium. Three flow-through column experiments using aquifer sediment were used to evaluate the remobilization of bioreduced U sequestered under conditions in which biostimulation extended well into sulfate reduction to enhance precipitation of reduced sulfur phases such as iron sulfides. One column received added ferrous iron, Fe(II), increasing production of iron sulfides, to test their effect on remobilization of the sequestered uranium, either by serving as a redox buffer by competing for dissolved oxygen, or by armoring the reduced uranium. During biostimulation of the ambient microbial population with acetate, dissolved uranium was lowered by a factor of 2.5 or more with continued removal for over 110 days of biostimulation, well after the onset of sulfate reduction at ~30 days. Sequestered uranium was essentially all U(IV) resulting from the formation of nano-particulate uraninite that coated sediment grains to a thickness of a few 10’s of microns, sometimes in association with S and Fe. A multicomponent biogeochemical reactive transport model simulation of column effluents during biostimulation was generally able to describe the acetate oxidation, iron, sulfate, and uranium reduction for all three columns using parameters derived from simulations of field scale biostimulation experiments.

Columns were eluted with artificial groundwater at equilibrium with atmospheric oxygen to simulate the upper limit of dissolved oxygen in recharge water. Overall about 9% of total uranium removed from solution during biostimulation was remobilized. Release of U during oxic elution was a continuous process over 140 days with dissolved uranium concentrations about 0.2 and 0.8 aM for columns with and without ferrous iron addition, respectively. Uranium remaining on the sediment was in the reduced form. The prolonged period of biostimulation and concomitant sulfate reduction appears to limit the rate of U(IV) oxidative remobilization in contrast to a large release observed for columns in previous studies that did not undergo sulfate reduction. Although continued sulfate reduction may cause decreased permeability from precipitation of iron sulfide, the greater apparent stability of the sequestered U(IV) provided by the sustained biostimulation should be considered in design of field scale remediation efforts. Remobilization of uranium following biostimulated reduction should be tested further at the field scale.

","language":"English","publisher":"U.S. Nuclear Regulatory Commission","collaboration":"Nuclear Regulatory Commission","usgsCitation":"Fuller, C.C., Johnson, K.J., Akstin, K., Singer, D.M., Yabusaki, S.B., Fang, Y., and Fuhrmann, M., 2015, Uranium Sequestration During Biostimulated Reduction and In Response to the Return of Oxic Conditions In Shallow Aquifers, xviii, 158 p.","productDescription":"xviii, 158 p.","ipdsId":"IP-053280","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":342386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297355,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrc.gov/reading-rm/doc-collections/nuregs/contract/cr7178/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa839e4b0764e6c627999","contributors":{"authors":[{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kelly J.","contributorId":138797,"corporation":false,"usgs":false,"family":"Johnson","given":"Kelly","email":"","middleInitial":"J.","affiliations":[{"id":12527,"text":"MWH Global, Inc","active":true,"usgs":false}],"preferred":false,"id":538776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akstin, Katherine kakstin@usgs.gov","contributorId":5178,"corporation":false,"usgs":true,"family":"Akstin","given":"Katherine","email":"kakstin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singer, David M.","contributorId":53278,"corporation":false,"usgs":true,"family":"Singer","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":538778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yabusaki, Steven B.","contributorId":138798,"corporation":false,"usgs":false,"family":"Yabusaki","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":538779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fang, Yi","contributorId":138799,"corporation":false,"usgs":false,"family":"Fang","given":"Yi","email":"","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":538780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuhrmann, M.","contributorId":138800,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"M.","affiliations":[{"id":12528,"text":"US Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":538781,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70158934,"text":"70158934 - 2015 - Automated lidar-derived canopy height estimates for the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2017-05-08T14:16:30","indexId":"70158934","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"Automated lidar-derived canopy height estimates for the Upper Mississippi River System","docAbstract":"Land cover/land use (LCU) classifications serve as important decision support products for researchers and land managers. The LCU classifications produced by the U.S. Geological Survey’s Upper Midwest Environmental Sciences Center (UMESC) include canopy height estimates that are assigned through manual aerial photography interpretation techniques. In an effort to improve upon these techniques, this project investigated the use of high-density lidar data for the Upper Mississippi River System to determine canopy height. An ArcGIS tool was developed to automatically derive height modifier information based on the extent of land cover features for forest classes. The measurement of canopy height included a calculation of the average height from lidar point cloud data as well as the inclusion of a local maximum filter to identify individual tree canopies. Results were compared to original manually interpreted height modifiers and to field survey data from U.S. Forest Service Forest Inventory and Analysis plots. This project demonstrated the effectiveness of utilizing lidar data to more efficiently assign height modifier attributes to LCU classifications produced by the UMESC.","language":"English","publisher":"University of Redlands","usgsCitation":"Hlavacek, E., 2015, Automated lidar-derived canopy height estimates for the Upper Mississippi River System, xviI, 70 p.","productDescription":"xviI, 70 p.","ipdsId":"IP-061233","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":340736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309736,"type":{"id":15,"text":"Index Page"},"url":"https://inspire.redlands.edu/gis_gradproj/218/"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.22875213623045,\n 43.57392416032963\n ],\n [\n -91.22188568115234,\n 43.6159452654277\n ],\n [\n -91.22222900390625,\n 43.645019610189216\n ],\n [\n -91.22085571289061,\n 43.6599240747891\n ],\n [\n -91.219482421875,\n 43.68574971761676\n ],\n [\n -91.20712280273438,\n 43.705608034103555\n ],\n [\n -91.20162963867188,\n 43.766135280960974\n ],\n [\n -91.22909545898436,\n 43.78299262890581\n ],\n [\n -91.25106811523438,\n 43.8028187190472\n ],\n [\n -91.24969482421875,\n 43.82660134505382\n ],\n [\n -91.26480102539062,\n 43.86720808597874\n ],\n [\n -91.27578735351561,\n 43.8909650585739\n ],\n [\n -91.33621215820312,\n 43.88502670347002\n ],\n [\n -91.30050659179688,\n 43.85631630786513\n ],\n [\n -91.30050659179688,\n 43.83947964604012\n ],\n [\n -91.307373046875,\n 43.823629034783124\n ],\n [\n -91.29364013671875,\n 43.81372026502735\n ],\n [\n -91.285400390625,\n 43.80876526350847\n ],\n [\n -91.29226684570312,\n 43.79588033566535\n ],\n [\n -91.28952026367188,\n 43.7859669617277\n ],\n [\n -91.28059387207031,\n 43.78447981381514\n ],\n [\n -91.263427734375,\n 43.7824968923812\n ],\n [\n -91.25518798828125,\n 43.77406874252176\n ],\n [\n -91.25724792480469,\n 43.75919263886012\n ],\n [\n -91.26274108886719,\n 43.73736766145917\n ],\n [\n -91.27372741699219,\n 43.71652730498859\n ],\n [\n -91.27372741699219,\n 43.69716905314008\n ],\n [\n -91.27922058105469,\n 43.68326696566219\n ],\n [\n -91.28059387207031,\n 43.67532146891089\n ],\n [\n -91.28196716308594,\n 43.667871610117494\n ],\n [\n -91.27922058105469,\n 43.64899449575356\n ],\n [\n -91.2744140625,\n 43.614205328810954\n ],\n [\n -91.27784729003906,\n 43.601278509333646\n ],\n [\n -91.28368377685545,\n 43.597797737126044\n ],\n [\n -91.28059387207031,\n 43.57591398669178\n ],\n [\n -91.27029418945312,\n 43.561486255932145\n ],\n [\n -91.23115539550781,\n 43.560491112629286\n ],\n [\n -91.22875213623045,\n 43.57392416032963\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aafe4b0fc4e44915800","contributors":{"authors":[{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576947,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160314,"text":"70160314 - 2015 - Complex interactions between global change drivers influence mountain forest and slpine GHG sequestration and stream chemistry","interactions":[],"lastModifiedDate":"2018-02-21T17:55:11","indexId":"70160314","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Complex interactions between global change drivers influence mountain forest and slpine GHG sequestration and stream chemistry","docAbstract":"Many mountain ecosystems are experiencing coincident increases\nin temperature, levels of atmospheric carbon dioxide (CO2) and\natmospheric nitrogen (N) deposition. All are important controls\non rates of plant growth, soil microbial activity, nutrient cycling,\nand stream N export. It is difficult for experimental studies to\nexplore ecosystem responses to more than one or two treatments\nat plot, let alone catchment, scale. One might expect, however,\necosystems to respond differently to the combined global change\ndrivers than to climate, CO2, or N alone. We explored this\nquestion for nine mountain catchments over the period 1980-\n2075 with a simulation model.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mountain Views","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"USDA Forest Service","usgsCitation":"Baron, J., and Hartman, M.D., 2015, Complex interactions between global change drivers influence mountain forest and slpine GHG sequestration and stream chemistry, in Mountain Views, v. 8, no. 1, p. 24-26.","productDescription":"3 p.","startPage":"24","endPage":"26","ipdsId":"IP-056121","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":340469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340468,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/psw/cirmount/publications/mtnviews.shtml"}],"country":"United States","volume":"8","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bfe4b0c2e071a99bae","contributors":{"authors":[{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":582509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartman, Melannie D.","contributorId":98836,"corporation":false,"usgs":true,"family":"Hartman","given":"Melannie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":582510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189610,"text":"70189610 - 2015 - Validation of the SCEC broadband platform V14.3 simulation methods using pseudo spectral acceleration data","interactions":[],"lastModifiedDate":"2017-07-19T10:10:30","indexId":"70189610","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2015","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":"Validation of the SCEC broadband platform V14.3 simulation methods using pseudo spectral acceleration data","docAbstract":"This paper summarizes the evaluation of ground motion simulation methods implemented on the SCEC Broadband Platform (BBP), version 14.3 (as of March 2014). A seven-member panel, the authorship of this article, was formed to evaluate those methods for the prediction of pseudo-­‐spectral accelerations (PSAs) of ground motion. The panel’s mandate was to evaluate the methods using tools developed through the validation exercise (Goulet et al. ,2014), and to define validation metrics for the assessment of the methods’ performance. This paper summarizes the evaluation process and conclusions from the panel. The five broadband, finite-source simulation methods on the BBP include two deterministic approaches herein referred to as CSM (Anderson, 2014) and UCSB (Crempien and Archuleta, 2014); a band-­‐limited stochastic white noise method called EXSIM (Atkinson and Assatourians, 2014); and two hybrid approaches, referred to as G&P (Graves and Pitarka, 2014) and SDSU (Olsen and Takedatsu, 2014), which utilize a deterministic Green’s function approach for periods longer than 1 second and stochastic methods for periods shorter than 1 second. \n\nTwo acceptance tests were defined to validate the broadband finite‐source ground methods (Goulet et al., 2014). Part A compared observed and simulated PSAs for periods from 0.01 to 10 seconds for 12 moderate to large earthquakes located in California, Japan, and the eastern US. Part B compared the median simulated PSAs to published NGA-­‐West1 (Abrahamson and Silva, 2008; Boore and Atkinson, 2008; Campbell and Bozorgnia, 2008; and Chiou and Youngs, 2008) ground motion prediction equations (GMPEs) for specific magnitude and distance cases using a pass-­‐fail criteria based on a defined acceptable range around the spectral shape of the GMPEs. For the initial Part A and Part B validation exercises during the summer of 2013, the software for the five methods was locked in at version 13.6 (see Maechling et al., 2014). In the spring of 2014, additional moderate events were considered for the Part A validation, and additional magnitude and distance cases were considered for the Part B validation, for the software locked in at version 14.3. Several of the simulation procedures, specifically UCSB and SDSU, changed significantly between versions 13.6 and 14.3. The CSM code was not submitted in time for the v14.3 evaluation and its detailed performance is not addressed in this paper. \n\nAs described in Goulet et al. (2014) and Maechling et al. (2014), the BBP generates a variety of products, including three-­‐component acceleration time series. A series of post-­‐processing codes were developed to provide individual component PSAs and average median horizontal-­‐component PSA (referred to as RotD50; Boore, 2010) for oscillator periods ranging from 0.01 to 10 seconds, as well as median PSA values computed using the NGA-­‐West 1 GMPEs. The BBP was also configured to provide statistical analysis of simulation results relative to recordings (Part A) and GMPEs (Part B) as described further in sections below. \n\nAs part of our evaluation, we reviewed documentation provided by each of the developers, which included the technical basis behind the methods and the developer’s self-­‐assessments regarding the extrapolation capabilities (in terms of magnitude and distance ranges) of their methods. Two workshops were held in which methods and results were presented, and the panel was given the opportunity to question the developers and to have detailed technical discussions. A SCEC report (Dreger et al., 2013) describes the results of this review for BBP version 13.6. This paper summarizes that work and presents results for the more recent BBP 14.3 validation.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140118","usgsCitation":"Dreger, D.S., Beroza, G.C., Day, S.M., Goulet, C.A., Jordan, T.H., Spudich, P.A., and Stewart, J.P., 2015, Validation of the SCEC broadband platform V14.3 simulation methods using pseudo spectral acceleration data: Seismological Research Letters, v. 86, no. 1, p. 39-47, https://doi.org/10.1785/0220140118.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-059822","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-17","publicationStatus":"PW","scienceBaseUri":"59706fbae4b0d1f9f065a8db","contributors":{"authors":[{"text":"Dreger, Douglas S.","contributorId":55600,"corporation":false,"usgs":false,"family":"Dreger","given":"Douglas","email":"","middleInitial":"S.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":705405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":705406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Steven M.","contributorId":194804,"corporation":false,"usgs":false,"family":"Day","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":705408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordan, Thomas H","contributorId":194144,"corporation":false,"usgs":false,"family":"Jordan","given":"Thomas","email":"","middleInitial":"H","affiliations":[],"preferred":false,"id":705409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spudich, Paul A. 0000-0002-9484-4997 spudich@usgs.gov","orcid":"https://orcid.org/0000-0002-9484-4997","contributorId":2372,"corporation":false,"usgs":true,"family":"Spudich","given":"Paul","email":"spudich@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":705410,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70136275,"text":"70136275 - 2015 - Examining the utility of satellite-based wind sheltering estimates for lake hydrodynamic modeling","interactions":[],"lastModifiedDate":"2017-01-12T10:55:43","indexId":"70136275","displayToPublicDate":"2014-12-30T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Examining the utility of satellite-based wind sheltering estimates for lake hydrodynamic modeling","docAbstract":"

Satellite-based measurements of vegetation canopy structure have been in common use for the last decade but have never been used to estimate canopy's impact on wind sheltering of individual lakes. Wind sheltering is caused by slower winds in the wake of topography and shoreline obstacles (e.g. forest canopy) and influences heat loss and the flux of wind-driven mixing energy into lakes, which control lake temperatures and indirectly structure lake ecosystem processes, including carbon cycling and thermal habitat partitioning. Lakeshore wind sheltering has often been parameterized by lake surface area but such empirical relationships are only based on forested lakeshores and overlook the contributions of local land cover and terrain to wind sheltering. This study is the first to examine the utility of satellite imagery-derived broad-scale estimates of wind sheltering across a diversity of land covers. Using 30 m spatial resolution ASTER GDEM2 elevation data, the mean sheltering height, hs, being the combination of local topographic rise and canopy height above the lake surface, is calculated within 100 m-wide buffers surrounding 76,000 lakes in the U.S. state of Wisconsin. Uncertainty of GDEM2-derived hs was compared to SRTM-, high-resolution G-LiHT lidar-, and ICESat-derived estimates of hs, respective influences of land cover type and buffer width on hsare examined; and the effect of including satellite-based hs on the accuracy of a statewide lake hydrodynamic model was discussed. Though GDEM2 hs uncertainty was comparable to or better than other satellite-based measures of hs, its higher spatial resolution and broader spatial coverage allowed more lakes to be included in modeling efforts. GDEM2 was shown to offer superior utility for estimating hs compared to other satellite-derived data, but was limited by its consistent underestimation of hs, inability to detect within-buffer hs variability, and differing accuracy across land cover types. Nonetheless, considering a GDEM2 hs-derived wind sheltering potential improved the modeled lake temperature root mean square error for non-forested lakes by 0.72 °C compared to a commonly used wind sheltering model based on lake area alone. While results from this study show promise, the limitations of near-global GDEM2 data in timeliness, temporal and spatial resolution, and vertical accuracy were apparent. As hydrodynamic modeling and high-resolution topographic mapping efforts both expand, future remote sensing-derived vegetation structure data must be improved to meet wind sheltering accuracy requirements to expand our understanding of lake processes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2014.10.024","usgsCitation":"Van Den Hoek, J., Read, J.S., Winslow, L.A., Montesano, P., and Markfort, C.D., 2015, Examining the utility of satellite-based wind sheltering estimates for lake hydrodynamic modeling: Remote Sensing of Environment, v. 156, p. 551-560, https://doi.org/10.1016/j.rse.2014.10.024.","productDescription":"10 p.","startPage":"551","endPage":"560","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058034","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":296930,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"156","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a75e4b08de9379b307a","contributors":{"authors":[{"text":"Van Den Hoek, Jamon","contributorId":127555,"corporation":false,"usgs":false,"family":"Van Den Hoek","given":"Jamon","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":658283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":658284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":658285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montesano, Paul","contributorId":131097,"corporation":false,"usgs":false,"family":"Montesano","given":"Paul","email":"","affiliations":[{"id":7240,"text":"Sigma Space Corporation","active":true,"usgs":false}],"preferred":false,"id":658286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Markfort, Corey D.","contributorId":131098,"corporation":false,"usgs":false,"family":"Markfort","given":"Corey","email":"","middleInitial":"D.","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":658287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70136148,"text":"70136148 - 2015 - Tracing historical trends of Hg in the Mississippi River using Hg concentrations and Hg isotopic compositions in a lake sediment core, Lake Whittington, Mississippi, USA","interactions":[],"lastModifiedDate":"2015-02-20T12:41:18","indexId":"70136148","displayToPublicDate":"2014-12-23T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Tracing historical trends of Hg in the Mississippi River using Hg concentrations and Hg isotopic compositions in a lake sediment core, Lake Whittington, Mississippi, USA","docAbstract":"

Concentrations and isotopic compositions of mercury (Hg) in a sediment core collected from Lake Whittington, an oxbow lake on the Lower Mississippi River, were used to evaluate historical sources of Hg in the Mississippi River basin. Sediment Hg concentrations in the Lake Whittington core have a large 10-15 y peak centered on the 1960s, with a maximum enrichment factor relative to Hg in the core of 4.8 in 1966. The Hg concentration profile indicates a different Hg source history than seen in most historical reconstructions of Hg loading. The timing of the peak is consistent with large releases of Hg from Oak Ridge National Laboratory (ORNL), primarily in the late 1950s and 1960s. Mercury was used in a lithiumisotope separation process by ORNL and an estimated 128Mg (megagrams) of Hgwas discharged to a local stream that flows into the Tennessee River and, eventually, the Mississippi River. Mass balance analyses of Hg concentrations and isotopic compositions in the Lake Whittington core fit a binary mixing model with a Hg-rich upstream source contributing about 70% of the Hg to Lake Whittington at the height of the Hg peak in 1966. This upstream Hg source is isotopically similar to Hg isotope compositions of stream sediment collected downstream near ORNL. It is estimated that about one-half of the Hg released from the ORNL potentially reached the LowerMississippi River basin in the 1960s, suggesting considerable downstream transport of Hg. It is also possible that upstream urban and industrial sources contributed some proportion of Hg to Lake Whittington in the 1960s and 1970s.

","language":"English","publisher":"European Association for Geochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.chemgeo.2014.12.005","usgsCitation":"Gray, J.E., Van Metre, P., Pribil, M.J., and Horowitz, A.J., 2015, Tracing historical trends of Hg in the Mississippi River using Hg concentrations and Hg isotopic compositions in a lake sediment core, Lake Whittington, Mississippi, USA: Chemical Geology, v. 395, p. 80-87, https://doi.org/10.1016/j.chemgeo.2014.12.005.","productDescription":"8 p.","startPage":"80","endPage":"87","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058426","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":296862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"395","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac3e4b08de9379b31ed","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":537157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. mpribil@usgs.gov","contributorId":2027,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":537159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horowitz, Arthur J. 0000-0002-3296-730X horowitz@usgs.gov","orcid":"https://orcid.org/0000-0002-3296-730X","contributorId":1400,"corporation":false,"usgs":true,"family":"Horowitz","given":"Arthur","email":"horowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537160,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70137567,"text":"70137567 - 2015 - Sensitivity of tsunami evacuation modeling to direction and land cover assumptions","interactions":[],"lastModifiedDate":"2015-01-09T15:14:18","indexId":"70137567","displayToPublicDate":"2014-12-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of tsunami evacuation modeling to direction and land cover assumptions","docAbstract":"

Although anisotropic least-cost-distance (LCD) modeling is becoming a common tool for estimating pedestrian-evacuation travel times out of tsunami hazard zones, there has been insufficient attention paid to understanding model sensitivity behind the estimates. To support tsunami risk-reduction planning, we explore two aspects of LCD modeling as it applies to pedestrian evacuations and use the coastal community of Seward, Alaska, as our case study. First, we explore the sensitivity of modeling to the direction of movement by comparing standard safety-to-hazard evacuation times to hazard-to-safety evacuation times for a sample of 3985 points in Seward's tsunami-hazard zone. Safety-to-hazard evacuation times slightly overestimated hazard-to-safety evacuation times but the strong relationship to the hazard-to-safety evacuation times, slightly conservative bias, and shorter processing times of the safety-to-hazard approach make it the preferred approach. Second, we explore how variations in land cover speed conservation values (SCVs) influence model performance using a Monte Carlo approach with one thousand sets of land cover SCVs. The LCD model was relatively robust to changes in land cover SCVs with the magnitude of local model sensitivity greatest in areas with higher evacuation times or with wetland or shore land cover types, where model results may slightly underestimate travel times. This study demonstrates that emergency managers should be concerned not only with populations in locations with evacuation times greater than wave arrival times, but also with populations with evacuation times lower than but close to expected wave arrival times, particularly if they are required to cross wetlands or beaches.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeog.2014.11.014","usgsCitation":"Schmidtlein, M.C., and Wood, N.J., 2015, Sensitivity of tsunami evacuation modeling to direction and land cover assumptions: Applied Geography, v. 56, p. 154-163, https://doi.org/10.1016/j.apgeog.2014.11.014.","productDescription":"10 p.","startPage":"154","endPage":"163","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046304","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeog.2014.11.014","text":"Publisher Index Page"},{"id":297115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab1e4b08de9379b3182","contributors":{"authors":[{"text":"Schmidtlein, Mathew C.","contributorId":138584,"corporation":false,"usgs":false,"family":"Schmidtlein","given":"Mathew","email":"","middleInitial":"C.","affiliations":[{"id":12451,"text":"Sacramento State University","active":true,"usgs":false}],"preferred":false,"id":537942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":537941,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135620,"text":"70135620 - 2015 - Variably-saturated groundwater modeling for optimizing managed aquifer recharge using trench infiltration","interactions":[],"lastModifiedDate":"2015-07-01T15:56:18","indexId":"70135620","displayToPublicDate":"2014-12-15T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Variably-saturated groundwater modeling for optimizing managed aquifer recharge using trench infiltration","docAbstract":"

Spreading-basin methods have resulted in more than 130 million cubic meters of recharge to the unconfined Navajo Sandstone of southern Utah in the past decade, but infiltration rates have slowed in recent years because of reduced hydraulic gradients and clogging. Trench infiltration is a promising alternative technique for increasing recharge and minimizing evaporation. This paper uses a variably saturated flow model to further investigate the relative importance of the following variables on rates of trench infiltration to unconfined aquifers: saturated hydraulic conductivity, trench spacing and dimensions, initial water-table depth, alternate wet/dry periods, and number of parallel trenches. Modeling results showed (1) increased infiltration with higher hydraulic conductivity, deeper initial water tables, and larger spacing between parallel trenches, (2) deeper or wider trenches do not substantially increase infiltration, (3) alternating wet/dry periods result in less overall infiltration than keeping the trenches continuously full, and (4) larger numbers of parallel trenches within a fixed area increases infiltration but with a diminishing effect as trench spacing becomes tighter. An empirical equation for estimating expected trench infiltration rates as a function of hydraulic conductivity and initial water-table depth was derived and can be used for evaluating feasibility of trench infiltration in other hydrogeologic settings

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10413","usgsCitation":"Heilweil, V.M., Benoit, J., and Healy, R.W., 2015, Variably-saturated groundwater modeling for optimizing managed aquifer recharge using trench infiltration: Hydrological Processes, v. 29, no. 3, p. 310-319, https://doi.org/10.1002/hyp.10413.","productDescription":"10 p.","startPage":"310","endPage":"319","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053219","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":296673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.10400390625,\n 42.01665183556825\n ],\n [\n -110.98388671874999,\n 42.01665183556825\n ],\n [\n -111.02783203125,\n 41.0130657870063\n ],\n [\n -108.91845703124999,\n 41.04621681452063\n ],\n [\n -109.0283203125,\n 36.98500309285596\n ],\n [\n -113.99414062499999,\n 37.00255267215955\n ],\n [\n -114.10400390625,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-01-18","publicationStatus":"PW","scienceBaseUri":"54900632e4b020a14785d24c","contributors":{"authors":[{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benoit, Jerome","contributorId":128458,"corporation":false,"usgs":false,"family":"Benoit","given":"Jerome","email":"","affiliations":[{"id":7174,"text":"École Nationale du Genie de l’Eau et de l’Environnement de Strasbourg","active":true,"usgs":false}],"preferred":false,"id":527153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":527152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189075,"text":"70189075 - 2015 - Joint inversion of seismic and magnetotelluric data in the Parkfield Region of California using the normalized cross-gradient constraint","interactions":[],"lastModifiedDate":"2019-10-25T10:55:30","indexId":"70189075","displayToPublicDate":"2014-12-14T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Joint inversion of seismic and magnetotelluric data in the Parkfield Region of California using the normalized cross-gradient constraint","docAbstract":"

We present jointly inverted models of P-wave velocity (Vp) and electrical resistivity for a two-dimensional profile centered on the San Andreas Fault Observatory at Depth (SAFOD). Significant structural similarity between main features of the separately inverted Vp and resistivity models is exploited by carrying out a joint inversion of the two datasets using the normalized cross-gradient constraint. This constraint favors structurally similar Vp and resistivity images that adequately fit the seismic and magnetotelluric (MT) datasets. The new inversion code, tomoDDMT, merges the seismic inversion code tomoDD and the forward modeling and sensitivity kernel subroutines of the MT inversion code OCCAM2DMT. TomoDDMT is tested on a synthetic dataset and demonstrates the code’s ability to more accurately resolve features of the input synthetic structure relative to the separately inverted resistivity and velocity models. Using tomoDDMT, we are able to resolve a number of key issues raised during drilling at SAFOD. We are able to infer the distribution of several geologic units including the Salinian granitoids, the Great Valley sequence, and the Franciscan Formation. The distribution and transport of fluids at both shallow and great depths is also examined. Low values of velocity/resistivity attributed to a feature known as the Eastern Conductor (EC) can be explained in two ways: the EC is a brine-filled, high porosity region, or this region is composed largely of clay-rich shales of the Franciscan. The Eastern Wall, which lies immediately adjacent to the EC, is unlikely to be a fluid pathway into the San Andreas Fault’s seismogenic zone due to its observed higher resistivity and velocity values.

","language":"English","publisher":"SpringerLink","doi":"10.1007/s00024-014-1002-9","usgsCitation":"Bennington, N.L., Zhang, H., Thurber, C., and Bedrosian, P.A., 2015, Joint inversion of seismic and magnetotelluric data in the Parkfield Region of California using the normalized cross-gradient constraint: Pure and Applied Geophysics, v. 172, no. 5, p. 1033-1052, https://doi.org/10.1007/s00024-014-1002-9.","productDescription":"20 p. ","startPage":"1033","endPage":"1052","ipdsId":"IP-036947","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"California","otherGeospatial":"Parkfield Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.78369140624999,\n 35.5936689609791\n ],\n [\n -119.87319946289062,\n 35.5936689609791\n ],\n [\n -119.87319946289062,\n 36.10126686921446\n ],\n [\n -120.78369140624999,\n 36.10126686921446\n ],\n [\n -120.78369140624999,\n 35.5936689609791\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"172","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-14","publicationStatus":"PW","scienceBaseUri":"59576337e4b0d1f9f051b52a","contributors":{"authors":[{"text":"Bennington, Ninfa L.","contributorId":172950,"corporation":false,"usgs":false,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":702782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Haijiang","contributorId":174443,"corporation":false,"usgs":false,"family":"Zhang","given":"Haijiang","email":"","affiliations":[{"id":36359,"text":"University of Science and Technology of China, Anhui, China","active":true,"usgs":false}],"preferred":false,"id":702783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurber, Cliff","contributorId":193979,"corporation":false,"usgs":false,"family":"Thurber","given":"Cliff","email":"","affiliations":[],"preferred":false,"id":702784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702781,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241572,"text":"70241572 - 2015 - Zinc isotopic signatures in eight lake sediment cores from across the United States","interactions":[],"lastModifiedDate":"2023-03-23T16:07:53.652679","indexId":"70241572","displayToPublicDate":"2014-12-09T11:03:31","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Zinc isotopic signatures in eight lake sediment cores from across the United States","docAbstract":"

Zinc is an important trace element pollutant in urban environments; however, the extent of Zn contamination and the sources of urban Zn pollution are often unclear. We measured Zn concentrations and isotopes in sediment cores collected from eight lakes or reservoirs across the United States. We paired these data with historical records of land use within each watershed to calculate a mean Zn concentration and δ66Zn for natural (less than 5% urban land use; 123 ± 21.7 mg/kg; +0.33 ± 0.08‰, n = 6 lakes) and urban (greater than 70% urban land use; 389 ± 200 mg/kg; +0.14 ± 0.07‰, n = 3 lakes) lake sediments. The relation between Zn concentration data and Zn isotope data allows us to create a mixing model between two end members: natural and urban. The δ66Zn of the urban end-member is consistent with Zn pollution from vehicle-related sources (tire wear and emissions). Application of this model to samples collected from lakes recording periods ranging from 5 to 70% urban land use in their surrounding watersheds indicates that the lakes and reservoirs were affected by large amounts of Zn from urban sources.

","language":"English","publisher":"ACS Publications","doi":"10.1021/es5036893","usgsCitation":"Thapalia, A., Borrok, D., Van Metre, P.C., and Wilson, J.T., 2015, Zinc isotopic signatures in eight lake sediment cores from across the United States: Environmental Science and Technology, v. 49, no. 1, p. 132-140, https://doi.org/10.1021/es5036893.","productDescription":"9 p.","startPage":"132","endPage":"140","ipdsId":"IP-058339","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":414624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"49","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thapalia, Anita","contributorId":303366,"corporation":false,"usgs":false,"family":"Thapalia","given":"Anita","affiliations":[{"id":64863,"text":"University of Texas at El Paso","active":true,"usgs":false}],"preferred":false,"id":867360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borrok, David","contributorId":303367,"corporation":false,"usgs":false,"family":"Borrok","given":"David","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":867361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":867362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867363,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173449,"text":"70173449 - 2015 - Predicting Brook Trout occurrence in stream reaches throughout their native range in the eastern United States","interactions":[],"lastModifiedDate":"2016-06-22T14:18:23","indexId":"70173449","displayToPublicDate":"2014-12-01T01:30:00","publicationYear":"2015","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":"Predicting Brook Trout occurrence in stream reaches throughout their native range in the eastern United States","docAbstract":"

The Brook Trout Salvelinus fontinalis is an important species of conservation concern in the eastern USA. We developed a model to predict Brook Trout population status within individual stream reaches throughout the species’ native range in the eastern USA. We utilized hierarchical logistic regression with Bayesian estimation to predict Brook Trout occurrence probability, and we allowed slopes and intercepts to vary among ecological drainage units (EDUs). Model performance was similar for 7,327 training samples and 1,832 validation samples based on the area under the receiver operating curve (∼0.78) and Cohen's kappa statistic (0.44). Predicted water temperature had a strong negative effect on Brook Trout occurrence probability at the stream reach scale and was also negatively associated with the EDU average probability of Brook Trout occurrence (i.e., EDU-specific intercepts). The effect of soil permeability was positive but decreased as EDU mean soil permeability increased. Brook Trout were less likely to occur in stream reaches surrounded by agricultural or developed land cover, and an interaction suggested that agricultural land cover also resulted in an increased sensitivity to water temperature. Our model provides a further understanding of how Brook Trout are shaped by habitat characteristics in the region and yields maps of stream-reach-scale predictions, which together can be used to support ongoing conservation and management efforts. These decision support tools can be used to identify the extent of potentially suitable habitat, estimate historic habitat losses, and prioritize conservation efforts by selecting suitable stream reaches for a given action. Future work could extend the model to account for additional landscape or habitat characteristics, include biotic interactions, or estimate potential Brook Trout responses to climate and land use changes.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.963256","usgsCitation":"DeWeber, J.T., and Wagner, T., 2015, Predicting Brook Trout occurrence in stream reaches throughout their native range in the eastern United States: Transactions of the American Fisheries Society, v. 144, no. 1, p. 11-24, https://doi.org/10.1080/00028487.2014.963256.","productDescription":"14 p.","startPage":"11","endPage":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056790","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, Tennessee, Vermont, Virginia, West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.433837890625, 47.27922900257082 ], [ -68.367919921875, 47.3834738721015 ], [ -68.2470703125, 47.36115300722623 ], [ -68.148193359375, 47.29413372501023 ], [ -67.994384765625, 47.204642388766935 ], [ -67.8515625, 47.11499982620772 ], [ -67.763671875, 47.07760411715964 ], [ -67.774658203125, 45.935870621190546 ], [ -67.752685546875, 45.85941212790755 ], [ -67.774658203125, 45.775186183521036 ], [ -67.78564453125, 45.706179285330855 ], [ -67.642822265625, 45.66012730272194 ], [ -67.532958984375, 45.60635207711834 ], [ -67.48901367187499, 45.598665689820656 ], [ -67.43408203124999, 45.537136680398596 ], [ -67.4560546875, 45.46783598133375 ], [ -67.423095703125, 45.31352900692258 ], [ -67.3681640625, 45.205263456162385 ], [ -67.24731445312499, 45.213003555993964 ], [ -67.1484375, 45.1433047394883 ], [ -67.08251953125, 45.0657615477031 ], [ -66.97265625, 44.933696389694674 ], [ -66.610107421875, 44.762336674810996 ], [ -66.697998046875, 44.5278427984555 ], [ -67.027587890625, 44.47299117260252 ], [ -67.236328125, 44.55133484083592 ], [ -67.445068359375, 44.535674532413196 ], [ -67.576904296875, 44.41808794374849 ], [ -67.78564453125, 44.34742225636393 ], [ -67.97241210937499, 44.284536706018905 ], [ -68.13720703125, 44.22158376545796 ], [ -68.236083984375, 44.134913443750726 ], [ -68.35693359375, 44.04811573082351 ], [ -68.477783203125, 44.02442151965934 ], [ -68.62060546875, 43.94537239244209 ], [ -68.741455078125, 43.92163712834673 ], [ -68.829345703125, 43.75522505306928 ], [ -69.049072265625, 43.8028187190472 ], [ -69.32373046875, 43.667871610117494 ], [ -69.576416015625, 43.691707903073805 ], [ -69.796142578125, 43.65197548731187 ], [ -70.048828125, 43.5326204268101 ], [ -70.345458984375, 43.44494295526125 ], [ -70.521240234375, 43.25320494908846 ], [ -70.6201171875, 43.02071359427862 ], [ -70.762939453125, 42.80346172417078 ], [ -70.609130859375, 42.73894375124377 ], [ -70.59814453125, 42.593532625649935 ], [ -70.72998046875, 42.4639928001706 ], [ -70.83984375, 42.32606244456202 ], [ -70.675048828125, 42.25291778330197 ], [ -70.6201171875, 42.13896840458089 ], [ -70.543212890625, 42.02481360781777 ], [ -70.433349609375, 41.86956082699455 ], [ -70.29052734375, 41.84501267270689 ], [ -70.235595703125, 41.87774145109676 ], [ -70.191650390625, 41.934976500546604 ], [ -70.257568359375, 42.016651835568226 ], [ -70.2685546875, 42.12267315117256 ], [ -70.1806640625, 42.13896840458089 ], [ -70.081787109375, 42.114523952464246 ], [ -69.927978515625, 41.934976500546604 ], [ -69.873046875, 41.68111756290652 ], [ -69.873046875, 41.51680395810115 ], [ -69.840087890625, 41.27780646738183 ], [ -69.98291015625, 41.12074559016745 ], [ -70.29052734375, 41.12074559016745 ], [ -70.51025390625, 41.19518982948959 ], [ -70.697021484375, 41.17038447781618 ], [ -70.9716796875, 41.17038447781618 ], [ -71.103515625, 41.31907562295139 ], [ -71.3671875, 41.3108238809182 ], [ -71.47705078125, 41.244772343082076 ], [ -71.4990234375, 41.054501963290505 ], [ -72.48779296875, 40.78054143186031 ], [ -73.17993164062499, 40.54720023441049 ], [ -73.916015625, 40.455307212131494 ], [ -73.90502929687499, 40.18726672309203 ], [ -74.02587890625, 39.68182601089365 ], [ -74.190673828125, 39.46164364205549 ], [ -74.476318359375, 39.232253141714885 ], [ -74.68505859374999, 38.976492485539396 ], [ -74.915771484375, 38.8225909761771 ], [ -74.970703125, 38.59970036588819 ], [ -74.970703125, 38.238180119798635 ], [ -75.21240234375, 37.89219554724437 ], [ -75.465087890625, 37.55328764595765 ], [ -75.618896484375, 37.274052809979054 ], [ -75.849609375, 36.958671131530316 ], [ -75.926513671875, 36.82687474287728 ], [ -76.102294921875, 37.03763967977139 ], [ -76.201171875, 37.46613860234406 ], [ -76.32202148437499, 37.79676317682161 ], [ -76.519775390625, 38.09998264736481 ], [ -76.849365234375, 38.25543637637947 ], [ -77.23388671874999, 38.41916639395372 ], [ -77.618408203125, 38.496593518947556 ], [ -77.969970703125, 38.42777351132902 ], [ -78.20068359374999, 38.11727165830543 ], [ -79.25537109375, 37.10776507118514 ], [ -79.793701171875, 36.65079252503471 ], [ -80.419921875, 36.19995805932895 ], [ -81.27685546875, 35.808904044068626 ], [ -81.73828125, 35.22767235493586 ], [ -82.144775390625, 34.939985151560435 ], [ -82.562255859375, 34.75966612466248 ], [ -82.73803710937499, 34.642247047768535 ], [ -83.27636718749999, 34.50655662164561 ], [ -83.748779296875, 34.4793919710481 ], [ -84.22119140625, 34.488447837809304 ], [ -84.638671875, 34.57895241036948 ], [ -84.66064453125, 34.8047829195724 ], [ -84.6826171875, 35.15584570226544 ], [ -84.473876953125, 35.44277092585766 ], [ -83.43017578125, 36.25313319699069 ], [ -82.6611328125, 36.932330061503144 ], [ -82.078857421875, 37.431250501793585 ], [ -81.990966796875, 37.57070524233116 ], [ -81.837158203125, 37.98750437106374 ], [ -81.650390625, 38.37611542403604 ], [ -81.34277343749999, 38.89958342598271 ], [ -81.0791015625, 39.21523130910491 ], [ -80.7275390625, 39.47860556892209 ], [ -80.518798828125, 39.74943369178247 ], [ -80.540771484375, 42.00848901572399 ], [ -80.343017578125, 42.09822241118974 ], [ -80.101318359375, 42.22851735620852 ], [ -79.91455078125, 42.3016903282445 ], [ -79.727783203125, 42.35854391749705 ], [ -79.4970703125, 42.48019996901214 ], [ -79.34326171875, 42.577354839557835 ], [ -79.1455078125, 42.70665956351041 ], [ -78.936767578125, 42.83569550641454 ], [ -78.90380859375, 42.924251753870685 ], [ -79.03564453124999, 43.01268088642034 ], [ -79.03564453124999, 43.06086137134326 ], [ -79.068603515625, 43.092960677116295 ], [ -79.068603515625, 43.26120612479979 ], [ -78.98071289062499, 43.35713822211053 ], [ -78.651123046875, 43.42100882994726 ], [ -78.431396484375, 43.476840397778936 ], [ -78.167724609375, 43.476840397778936 ], [ -77.89306640625, 43.45291889355465 ], [ -77.6513671875, 43.37311218382002 ], [ -77.376708984375, 43.37311218382002 ], [ -77.16796875, 43.37311218382002 ], [ -76.79443359375, 43.42100882994726 ], [ -76.453857421875, 43.60426186809618 ], [ -76.31103515625, 43.636075155965784 ], [ -76.343994140625, 43.731414013769 ], [ -76.39892578125, 43.8186748554532 ], [ -76.409912109375, 43.97700467496408 ], [ -76.35498046875, 44.174324837518895 ], [ -76.1572265625, 44.315987905196906 ], [ -76.014404296875, 44.34742225636393 ], [ -75.8056640625, 44.457309801319305 ], [ -75.487060546875, 44.731125592643274 ], [ -75.223388671875, 44.88701247981298 ], [ -75.025634765625, 44.95702412512118 ], [ -74.90478515625, 44.99588261816546 ], [ -74.827880859375, 45.0502402697946 ], [ -74.68505859374999, 45.00365115687186 ], [ -74.344482421875, 44.99588261816546 ], [ -74.058837890625, 45.01141864227728 ], [ -72.6416015625, 45.034714778688624 ], [ -72.22412109375, 45.034714778688624 ], [ -71.531982421875, 44.98811302615805 ], [ -71.4990234375, 45.07352060670971 ], [ -71.38916015625, 45.18978009667531 ], [ -71.422119140625, 45.259422036351694 ], [ -71.312255859375, 45.32897866218556 ], [ -71.202392578125, 45.282617057517406 ], [ -71.12548828125, 45.282617057517406 ], [ -71.03759765625, 45.3521452458518 ], [ -70.938720703125, 45.3444241045224 ], [ -70.83984375, 45.36758436884978 ], [ -70.81787109374999, 45.43700828867389 ], [ -70.751953125, 45.44471679159555 ], [ -70.762939453125, 45.52944081525666 ], [ -70.6640625, 45.598665689820656 ], [ -70.46630859375, 45.72152152227954 ], [ -70.411376953125, 45.75219336063106 ], [ -70.301513671875, 45.89000815866184 ], [ -70.279541015625, 45.9511496866914 ], [ -70.323486328125, 46.027481852486645 ], [ -70.235595703125, 46.17983040759436 ], [ -70.279541015625, 46.240651955001695 ], [ -70.20263671875, 46.392411189814645 ], [ -70.081787109375, 46.4605655457854 ], [ -70.015869140625, 46.717268685073954 ], [ -69.23583984375, 47.47266286861342 ], [ -69.049072265625, 47.42065432071321 ], [ -69.049072265625, 47.31648293428332 ], [ -68.994140625, 47.25686404408872 ], [ -68.88427734374999, 47.2270293988673 ], [ -68.763427734375, 47.25686404408872 ], [ -68.631591796875, 47.27177506640826 ], [ -68.543701171875, 47.32393057095941 ], [ -68.433837890625, 47.27922900257082 ] ] ] } } ] }","volume":"144","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6b9e4b07657d1a22933","contributors":{"authors":[{"text":"DeWeber, Jefferson Tyrell","contributorId":172108,"corporation":false,"usgs":false,"family":"DeWeber","given":"Jefferson","email":"","middleInitial":"Tyrell","affiliations":[],"preferred":false,"id":640379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637143,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70138828,"text":"70138828 - 2015 - Mycoplasma agassizii in Morafka's desert tortoise (Gopherus morafkai) in Mexico","interactions":[],"lastModifiedDate":"2015-01-23T10:39:59","indexId":"70138828","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Mycoplasma agassizii in Morafka's desert tortoise (Gopherus morafkai) in Mexico","docAbstract":"

We conducted health evaluations of 69 wild and 22 captive Morafka's desert tortoises (Gopherus morafkai) in Mexico between 2005 and 2008. The wild tortoises were from 11 sites in the states of Sonora and Sinaloa, and the captive tortoises were from the state-managed Centro Ecológico de Sonora Zoo in Hermosillo and a private residence in the town of Alamos. We tested 88 tortoises for mycoplasmal upper respiratory tract disease (URTD) using enzyme-linked immunosorbent assays for specific antibody and by culture and PCR for detection of Mycoplasma agassizii and Mycoplasma testudineum. Fifteen of 22 captive tortoises had one or more positive diagnostic test results for M. agassizii whereas no wild tortoises had positive tests. Tortoises with positive tests also had significantly more moderate and severe clinical signs of mycoplasmosis on beaks and nares compared to tortoises with negative tests. Captive tortoises also exhibited significantly more clinical signs of illness than did wild tortoises, including lethargy and moderate to severe ocular signs. The severity of trauma and diseases of the shell and integument did not differ significantly among tortoises by site; however, clinical signs of moderate to severe trauma and disease were more prevalent in older tortoises. Similar to research findings for other species in the genus Gopherusin the US, we found that URTD is an important disease in captive tortoises. If they escape or are released by intention or accident to the wild, captive tortoises are likely to pose risks to healthy, naïve wild populations.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2014-04-083","usgsCitation":"Berry, K.H., Brown, M., Vaughn, M., Gowan, T.A., Hasskamp, M.A., and Torres, M.C., 2015, Mycoplasma agassizii in Morafka's desert tortoise (Gopherus morafkai) in Mexico: Journal of Wildlife Diseases, v. 51, no. 1, p. 89-100, https://doi.org/10.7589/2014-04-083.","productDescription":"12 p.","startPage":"89","endPage":"100","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009847","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":297479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Sinaloa, Sonora","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.4013671875,\n 17.392579271057766\n ],\n [\n -111.4013671875,\n 30.751277776257812\n ],\n [\n -100.7666015625,\n 30.751277776257812\n ],\n [\n -100.7666015625,\n 17.392579271057766\n ],\n [\n -111.4013671875,\n 17.392579271057766\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a48e4b08de9379b2fbd","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":538999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Mary B.","contributorId":48072,"corporation":false,"usgs":false,"family":"Brown","given":"Mary B.","affiliations":[],"preferred":false,"id":539000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaughn, Mercy","contributorId":21881,"corporation":false,"usgs":true,"family":"Vaughn","given":"Mercy","email":"","affiliations":[],"preferred":false,"id":539002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gowan, Timothy A.","contributorId":138595,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":539001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasskamp, Mary Ann","contributorId":138857,"corporation":false,"usgs":false,"family":"Hasskamp","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":12549,"text":"independent biologist, Challis, Idaho","active":true,"usgs":false}],"preferred":false,"id":539003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torres, Ma. Cristina Melendez","contributorId":138858,"corporation":false,"usgs":false,"family":"Torres","given":"Ma.","email":"","middleInitial":"Cristina Melendez","affiliations":[{"id":12550,"text":"Comision de Ecologia y Desarrollo Sustentable del Estado de Sonora","active":true,"usgs":false}],"preferred":false,"id":539004,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138833,"text":"70138833 - 2015 - How much is new information worth? Evaluating the financial benefit of resolving management uncertainty","interactions":[],"lastModifiedDate":"2015-01-23T10:25:51","indexId":"70138833","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How much is new information worth? Evaluating the financial benefit of resolving management uncertainty","docAbstract":"
    \n
  1. \n
    \n

    Conservation decision-makers face a trade-off between spending limited funds on direct management action, or gaining new information in an attempt to improve management performance in the future. Value-of-information analysis can help to resolve this trade-off by evaluating how much management performance could improve if new information was gained. Value-of-information analysis has been used extensively in other disciplines, but there are only a few examples where it has informed conservation planning, none of which have used it to evaluate the financial value of gaining new information.

    \n
    \n
    2. \n
  2. \n
    \n

    We address this gap by applying value-of-information analysis to the management of a declining koala Phascolarctos cinereuspopulation. Decision-makers responsible for managing this population face uncertainty about survival and fecundity rates, and how habitat cover affects mortality threats. The value of gaining new information about these uncertainties was calculated using a deterministic matrix model of the koala population to find the expected population growth rate if koala mortality threats were optimally managed under alternative model hypotheses, which represented the uncertainties faced by koala managers.

    \n
    \n
    3. \n
  3. \n
    \n

    Gaining new information about survival and fecundity rates and the effect of habitat cover on mortality threats will do little to improve koala management. Across a range of management budgets, no more than 1·7% of the budget should be spent on resolving these uncertainties.

    \n
    \n
    4. \n
  4. \n
    \n

    The value of information was low because optimal management decisions were not sensitive to the uncertainties we considered. Decisions were instead driven by a substantial difference in the cost efficiency of management actions. The value of information was up to forty times higher when the cost efficiencies of different koala management actions were similar.

    \n
    \n
    5. \n
  5. \n
    \n

    Synthesis and applications. This study evaluates the ecological and financial benefits of gaining new information to inform a conservation problem. We also theoretically demonstrate that the value of reducing uncertainty is highest when it is not clear which management action is the most cost efficient. This study will help expand the use of value-of-information analyses in conservation by providing a cost efficiency metric by which to evaluate research or monitoring.

    \n
    \n
    6. \n
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12373","usgsCitation":"Maxwell, S.L., Rhodes, J.R., Runge, M.C., Possingham, H.P., Ng, C.F., and McDonald Madden, E., 2015, How much is new information worth? Evaluating the financial benefit of resolving management uncertainty: Journal of Applied Ecology, v. 52, no. 1, p. 12-20, https://doi.org/10.1111/1365-2664.12373.","productDescription":"9 p.","startPage":"12","endPage":"20","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060429","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":297478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-10","publicationStatus":"PW","scienceBaseUri":"54dd2a86e4b08de9379b30c9","contributors":{"authors":[{"text":"Maxwell, Sean L.","contributorId":138862,"corporation":false,"usgs":false,"family":"Maxwell","given":"Sean","email":"","middleInitial":"L.","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":539032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhodes, Jonathan R.","contributorId":138863,"corporation":false,"usgs":false,"family":"Rhodes","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":539033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":539031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Possingham, Hugh P.","contributorId":20882,"corporation":false,"usgs":false,"family":"Possingham","given":"Hugh","email":"","middleInitial":"P.","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":539034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ng, Chooi Fei","contributorId":138864,"corporation":false,"usgs":false,"family":"Ng","given":"Chooi","email":"","middleInitial":"Fei","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":539035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald Madden, Eve","contributorId":65978,"corporation":false,"usgs":false,"family":"McDonald Madden","given":"Eve","email":"","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":539036,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134236,"text":"70134236 - 2015 - BET surface area distributions in polar stream sediments: Implications for silicate weathering in a cold-arid environment","interactions":[],"lastModifiedDate":"2020-12-21T17:26:21.88861","indexId":"70134236","displayToPublicDate":"2014-11-25T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"BET surface area distributions in polar stream sediments: Implications for silicate weathering in a cold-arid environment","docAbstract":"

BET surface area values are critical for quantifying the amount of potentially reactive sediments available for chemical weathering and ultimately, prediction of silicate weathering fluxes. BET surface area values of fine-grained (<62.5 μm) sediment from the hyporheic zone of polar glacial streams in the McMurdo Dry Valleys, Antarctica (Wright and Taylor Valleys) exhibit a wide range (2.5–70.6 m2/g) of surface area values. Samples from one (Delta Stream, Taylor Valley) of the four sampled stream transects exhibit high values (up to 70.6 m2/g), which greatly exceed surface area values from three temperate proglacial streams (0.3–12.1 m2/g). Only Clark stream in Wright Valley exhibits a robust trend with distance, wherein surface area systematically decreases (and particle size increases) in the mud fraction downstream, interpreted to reflect rapid dissolution processes in the weathering environment. The remaining transects exhibit a range in variability in surface area distributions along the length of the channel, likely related to variations in eolian input to exposed channel beds, adjacent snow drifts, and to glacier surfaces, where dust is trapped and subsequently liberated during summer melting. Additionally, variations in stream discharge rate, which mobilizes sediment in pulses and influences water:rock ratios, the origin and nature of the underlying drift material, and the contribution of organic acids may play significant roles in the production and mobilization of high-surface area sediment. This study highlights the presence of sediments with high surface area in cold-based glacier systems, which influences models of chemical denudation rates and the impact of glacial systems on the global carbon cycle.

","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2014.11.005","usgsCitation":"Marra, K.R., Elwood Madden, M.E., Soreghan, G.S., and Hall, B.L., 2015, BET surface area distributions in polar stream sediments: Implications for silicate weathering in a cold-arid environment: Applied Geochemistry, v. 52, p. 31-42, https://doi.org/10.1016/j.apgeochem.2014.11.005.","productDescription":"12 p.","startPage":"31","endPage":"42","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057956","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Taylor Valley, Wright Valley","volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a18e4b042f27ef134c9","contributors":{"authors":[{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elwood Madden, Megan E","contributorId":127580,"corporation":false,"usgs":false,"family":"Elwood Madden","given":"Megan","email":"","middleInitial":"E","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":525733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soreghan, Gerilyn S.","contributorId":101726,"corporation":false,"usgs":true,"family":"Soreghan","given":"Gerilyn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":525734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Brenda L","contributorId":127581,"corporation":false,"usgs":false,"family":"Hall","given":"Brenda","email":"","middleInitial":"L","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":525735,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173454,"text":"70173454 - 2015 - Evaluating changes in stream fish species richness over a 50-year time-period within a landscape context","interactions":[],"lastModifiedDate":"2016-06-20T12:03:29","indexId":"70173454","displayToPublicDate":"2014-11-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating changes in stream fish species richness over a 50-year time-period within a landscape context","docAbstract":"

Worldwide, streams and rivers are facing a suite of pressures that alter water quality and degrade physical habitat, both of which can lead to changes in the composition and richness of fish populations. These potential changes are of particular importance in the Southeast USA, home to one of the richest stream fish assemblages in North America. Using data from 83 stream sites in North Carolina sampled in the 1960’s and the past decade, we used hierarchical Bayesian models to evaluate relationships between species richness and catchment land use and land cover (e.g., agriculture and forest cover). In addition, we examined how the rate of change in species richness over 50 years was related to catchment land use and land cover. We found a negative and positive correlation between forest land cover and agricultural land use and average species richness, respectively. After controlling for introduced species, most (66 %) stream sites showed an increase in native fish species richness, and the magnitude of the rate of increase was positively correlated to the amount of forested land cover in the catchment. Site-specific trends in species richness were not positive, on average, until the percentage forest cover in the network catchment exceeded about 55 %. These results suggest that streams with catchments that have moderate to high (>55 %) levels of forested land in upstream network catchments may be better able to increase the number of native species at a faster rate compared to less-forested catchments.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht, Netherlands","doi":"10.1007/s10641-014-0359-z","usgsCitation":"Midway, S.R., Wagner, T., Tracy, B.H., Hogue, G.M., and Starnes, W.C., 2015, Evaluating changes in stream fish species richness over a 50-year time-period within a landscape context: Environmental Biology of Fishes, v. 98, no. 5, p. 1295-1309, https://doi.org/10.1007/s10641-014-0359-z.","productDescription":"15 p.","startPage":"1295","endPage":"1309","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052108","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.753765,35.199612],[-75.718015,35.209377],[-75.684006,35.232913],[-75.664512,35.227514],[-75.630358,35.238487],[-75.599005,35.256253],[-75.596915,35.269491],[-75.581935,35.263917],[-75.535741,35.272856],[-75.529393,35.288272],[-75.487678,35.485056],[-75.487528,35.525889],[-75.47861,35.553069],[-75.48133,35.622896],[-75.487678,35.648287],[-75.507385,35.680564],[-75.515397,35.73038],[-75.533512,35.773577],[-75.522232,35.774178],[-75.496086,35.728515],[-75.458659,35.596597],[-75.471355,35.479615],[-75.486771,35.391652],[-75.52592,35.233839],[-75.533627,35.225825],[-75.560225,35.232048],[-75.610101,35.227514],[-75.769705,35.180359],[-75.944725,35.105091],[-76.013145,35.061855],[-76.013561,35.068832],[-75.99188,35.092395],[-75.989175,35.115165],[-75.98395,35.120042],[-75.9547,35.1196],[-75.893942,35.150433],[-75.801444,35.183079],[-75.785729,35.194244],[-75.753765,35.199612]]],[[[-75.675245,35.929024],[-75.65954,35.919564],[-75.662019,35.906522],[-75.64512,35.905788],[-75.62767,35.883149],[-75.616833,35.856331],[-75.619772,35.847606],[-75.614361,35.815659],[-75.620454,35.809253],[-75.63898,35.818639],[-75.667891,35.82354],[-75.675054,35.830204],[-75.660086,35.83861],[-75.663356,35.869835],[-75.67283,35.882423],[-75.681415,35.88398],[-75.697672,35.901639],[-75.696871,35.909556],[-75.702165,35.915428],[-75.723782,35.925569],[-75.727251,35.93362],[-75.718266,35.939714],[-75.705323,35.939403],[-75.675245,35.929024]]],[[[-76.12236,36.550621],[-75.867044,36.550754],[-75.818735,36.357579],[-75.773329,36.231529],[-75.71831,36.113674],[-75.658537,36.02043],[-75.569794,35.863301],[-75.533012,35.787377],[-75.536428,35.780118],[-75.543259,35.779691],[-75.573083,35.828867],[-75.588878,35.844926],[-75.619151,35.889415],[-75.620114,35.925288],[-75.648899,35.965758],[-75.668379,35.978394],[-75.678909,35.993925],[-75.723662,36.003139],[-75.727084,36.01051],[-75.722609,36.037362],[-75.737088,36.040784],[-75.74051,36.046839],[-75.73972,36.07527],[-75.75572,36.153922],[-75.783676,36.215949],[-75.811588,36.244014],[-75.808165,36.259545],[-75.814483,36.285344],[-75.822907,36.291662],[-75.837913,36.294558],[-75.845284,36.305614],[-75.841335,36.328517],[-75.831858,36.339047],[-75.831595,36.346418],[-75.836201,36.363135],[-75.85147,36.379456],[-75.85147,36.415785],[-75.864106,36.430527],[-75.888325,36.441583],[-75.899908,36.482124],[-75.907279,36.485809],[-75.924127,36.482124],[-75.935473,36.490601],[-75.972545,36.494671],[-76.003708,36.506235],[-76.023627,36.500778],[-76.031949,36.482496],[-76.012337,36.447462],[-75.98005,36.435464],[-75.962285,36.41724],[-75.940676,36.41885],[-75.928369,36.428588],[-75.923601,36.425788],[-75.916409,36.38901],[-75.923331,36.361863],[-75.895285,36.319615],[-75.882154,36.284674],[-75.864933,36.284674],[-75.86052,36.280607],[-75.867356,36.252483],[-75.864154,36.235522],[-75.858703,36.222628],[-75.848838,36.21657],[-75.838367,36.200129],[-75.839924,36.17711],[-75.823915,36.158332],[-75.822531,36.145957],[-75.800378,36.112728],[-75.791637,36.082267],[-75.793974,36.07171],[-75.836084,36.092616],[-75.867792,36.127262],[-75.863914,36.159226],[-75.882987,36.186807],[-75.910658,36.212157],[-75.922344,36.244122],[-75.94984,36.25787],[-75.96462,36.254433],[-75.957058,36.247903],[-75.945372,36.222468],[-75.956027,36.198065],[-75.936436,36.18088],[-75.904999,36.164188],[-75.939047,36.165518],[-76.016984,36.186367],[-76.029086,36.202036],[-76.043838,36.210126],[-76.054308,36.229162],[-76.08148,36.237935],[-76.132005,36.287773],[-76.184702,36.298166],[-76.188717,36.281242],[-76.171378,36.265806],[-76.149486,36.263902],[-76.115851,36.214219],[-76.080106,36.19944],[-76.05992,36.15514],[-76.064224,36.143775],[-76.092555,36.135794],[-76.178946,36.123424],[-76.206873,36.137521],[-76.254064,36.18419],[-76.273316,36.189062],[-76.27699,36.184952],[-76.247401,36.161823],[-76.228527,36.130647],[-76.191715,36.107197],[-76.216599,36.095409],[-76.265037,36.104886],[-76.329921,36.133396],[-76.373571,36.138208],[-76.3935,36.163251],[-76.447812,36.192514],[-76.454414,36.189901],[-76.456061,36.183577],[-76.375892,36.12042],[-76.346418,36.121023],[-76.334965,36.110903],[-76.298733,36.1012],[-76.303998,36.092776],[-76.323478,36.084879],[-76.355069,36.086458],[-76.410878,36.078034],[-76.420881,36.06066],[-76.451418,36.039073],[-76.459316,36.024331],[-76.491959,36.018013],[-76.514335,36.00564],[-76.547505,36.009852],[-76.580674,36.00722],[-76.60384,36.033018],[-76.615423,36.037757],[-76.653332,36.035124],[-76.676484,36.043612],[-76.721445,36.147838],[-76.719401,36.199441],[-76.675462,36.266882],[-76.693253,36.278357],[-76.744436,36.212725],[-76.7521,36.147328],[-76.722996,36.066585],[-76.679657,35.991951],[-76.70019,35.964573],[-76.692376,35.945342],[-76.667547,35.933509],[-76.528551,35.944039],[-76.473795,35.960888],[-76.460632,35.970365],[-76.398242,35.984317],[-76.38192,35.971681],[-76.381394,35.96273],[-76.362966,35.942197],[-76.340327,35.94325],[-76.317687,35.946935],[-76.272408,35.972734],[-76.213966,35.988002],[-76.176585,35.993267],[-76.093697,35.993001],[-76.083131,35.989845],[-76.062071,35.993004],[-76.024162,35.970891],[-76.014159,35.957202],[-76.01995,35.934036],[-76.014353,35.920746],[-76.063203,35.853433],[-76.050485,35.806689],[-76.046813,35.717935],[-76.036393,35.690344],[-76.046361,35.659067],[-76.04015,35.65131],[-76.029863,35.649443],[-76.013808,35.669103],[-75.9869,35.768194],[-75.987148,35.836967],[-75.97783,35.897181],[-75.962562,35.901393],[-75.94782,35.920347],[-75.927286,35.93193],[-75.92676,35.940354],[-75.943608,35.952464],[-75.947293,35.959835],[-75.899382,35.977209],[-75.84989,35.976156],[-75.80935,35.959308],[-75.800926,35.944566],[-75.782498,35.935615],[-75.778813,35.918241],[-75.751961,35.878227],[-75.748276,35.852428],[-75.734587,35.839266],[-75.727216,35.822703],[-75.726689,35.811361],[-75.739357,35.770994],[-75.724743,35.742892],[-75.71294,35.69849],[-75.713502,35.693993],[-75.741605,35.672073],[-75.742167,35.655212],[-75.729802,35.625985],[-75.747225,35.610248],[-75.778138,35.592262],[-75.775328,35.579335],[-75.837154,35.570904],[-75.859636,35.586641],[-75.895045,35.573152],[-75.916403,35.538305],[-75.950126,35.530998],[-75.964178,35.511326],[-75.963053,35.493903],[-75.987222,35.484348],[-75.995652,35.475355],[-75.997901,35.453435],[-76.009704,35.442194],[-76.01139,35.423084],[-76.020945,35.410719],[-76.025441,35.408471],[-76.050171,35.415778],[-76.059726,35.410157],[-76.063661,35.405099],[-76.059726,35.383741],[-76.069281,35.370813],[-76.132793,35.349455],[-76.14291,35.338776],[-76.14291,35.32866],[-76.149655,35.326411],[-76.182254,35.336528],[-76.20586,35.336528],[-76.235087,35.350017],[-76.253072,35.350017],[-76.257569,35.344397],[-76.265437,35.343273],[-76.282299,35.345521],[-76.304781,35.355638],[-76.327263,35.356762],[-76.335132,35.355638],[-76.340752,35.346645],[-76.349745,35.345521],[-76.382344,35.356762],[-76.399206,35.348893],[-76.408199,35.350017],[-76.431805,35.362383],[-76.436301,35.37812],[-76.448666,35.383741],[-76.462156,35.380368],[-76.472273,35.371375],[-76.485762,35.371375],[-76.540292,35.410657],[-76.586349,35.508957],[-76.476706,35.511707],[-76.456427,35.550546],[-76.471207,35.55742],[-76.48358,35.538172],[-76.55679,35.528892],[-76.600441,35.538516],[-76.634468,35.510332],[-76.601472,35.460838],[-76.580187,35.387113],[-76.606041,35.387113],[-76.710083,35.427155],[-76.759234,35.418906],[-76.830897,35.447949],[-76.942022,35.473529],[-77.023912,35.514802],[-77.026638,35.490569],[-76.967214,35.438296],[-76.891938,35.433649],[-76.664027,35.345696],[-76.500375,35.321915],[-76.482389,35.314046],[-76.467776,35.276951],[-76.467776,35.261213],[-76.477893,35.243228],[-76.490258,35.233111],[-76.494755,35.212877],[-76.521733,35.192643],[-76.536346,35.174657],[-76.539719,35.166788],[-76.536346,35.142058],[-76.546463,35.122948],[-76.557704,35.116204],[-76.568945,35.097094],[-76.60042,35.067867],[-76.631895,35.056626],[-76.801426,34.964369],[-76.982904,35.060607],[-76.989778,35.045484],[-76.977404,35.004926],[-76.89354,34.957495],[-76.762931,34.920374],[-76.635072,34.989116],[-76.588055,34.991428],[-76.566697,34.998173],[-76.502623,35.007166],[-76.491382,35.017283],[-76.490258,35.034144],[-76.474521,35.070116],[-76.463468,35.076411],[-76.435762,35.057941],[-76.425461,35.001464],[-76.395625,34.975179],[-76.332044,34.970917],[-76.326361,34.976245],[-76.329557,34.986901],[-76.364367,35.034853],[-76.318546,35.020645],[-76.288354,35.005726],[-76.296524,34.976245],[-76.275567,34.960971],[-76.277698,34.940014],[-76.347673,34.872171],[-76.368274,34.872881],[-76.379641,34.86258],[-76.400242,34.855476],[-76.463016,34.785076],[-76.524712,34.681964],[-76.586236,34.698805],[-76.582421,34.767757],[-76.604796,34.787482],[-76.620606,34.784389],[-76.616567,34.714059],[-76.673619,34.71491],[-76.673537,34.70757],[-76.523303,34.652271],[-76.383827,34.807906],[-76.322808,34.86116],[-76.233672,34.925926],[-76.093349,35.048705],[-76.069906,35.075701],[-76.043621,35.070017],[-76.035933,35.058987],[-76.137269,34.987858],[-76.233088,34.905477],[-76.31021,34.852309],[-76.386804,34.784579],[-76.494068,34.66197],[-76.524199,34.615416],[-76.535946,34.588577],[-76.555196,34.615993],[-76.549343,34.645585],[-76.579467,34.660174],[-76.642939,34.677618],[-76.676312,34.693151],[-76.770044,34.696899],[-76.817453,34.693722],[-76.990262,34.669623],[-77.136843,34.632926],[-77.209161,34.605032],[-77.322524,34.535574],[-77.462922,34.471354],[-77.556943,34.417218],[-77.661673,34.341868],[-77.740136,34.272546],[-77.829209,34.162618],[-77.878161,34.067963],[-77.915536,33.971723],[-77.946568,33.912261],[-77.960172,33.853315],[-77.970606,33.844517],[-78.009973,33.861406],[-78.018689,33.888289],[-78.095429,33.906031],[-78.17772,33.914272],[-78.276147,33.912364],[-78.383964,33.901946],[-78.509042,33.865515],[-78.541087,33.851112],[-79.358317,34.545358],[-79.675299,34.804744],[-80.797543,34.819786],[-80.782042,34.935782],[-80.93495,35.107409],[-81.041489,35.044703],[-81.057648,35.062433],[-81.058029,35.07319],[-81.052078,35.096276],[-81.032806,35.108049],[-81.038968,35.126299],[-81.05042,35.131048],[-81.044391,35.147918],[-81.239358,35.159974],[-82.27492,35.200071],[-82.314863,35.191089],[-82.32335,35.184789],[-82.344554,35.193115],[-82.361469,35.190831],[-82.36899,35.181747],[-82.379712,35.186884],[-82.378744,35.198053],[-82.390439,35.215395],[-82.403348,35.204473],[-82.417597,35.200131],[-82.439595,35.165863],[-82.448969,35.165037],[-82.455609,35.177425],[-82.460092,35.178143],[-82.483937,35.173798],[-82.495506,35.164312],[-82.516044,35.163442],[-82.529973,35.155617],[-82.550508,35.159498],[-82.556168,35.151736],[-82.563767,35.151575],[-82.578316,35.142104],[-82.609706,35.139039],[-82.629031,35.126155],[-82.642237,35.129215],[-82.662381,35.118123],[-82.683625,35.125833],[-82.694898,35.098456],[-82.72701,35.094142],[-82.738379,35.079453],[-82.749491,35.078487],[-82.757704,35.068019],[-82.777376,35.064143],[-82.781973,35.066817],[-82.776357,35.081349],[-82.787867,35.085024],[-83.108535,35.000771],[-83.620185,34.992091],[-83.619985,34.986592],[-84.321869,34.988408],[-84.29024,35.225572],[-84.28322,35.226577],[-84.223718,35.269078],[-84.211818,35.266078],[-84.202879,35.255772],[-84.200117,35.244679],[-84.188417,35.239979],[-84.170416,35.245779],[-84.12889,35.243679],[-84.12115,35.250644],[-84.097508,35.247382],[-84.081117,35.261146],[-84.052612,35.269982],[-84.02141,35.301383],[-84.02651,35.309283],[-84.03501,35.311983],[-84.029377,35.333197],[-84.038081,35.348363],[-84.024756,35.353896],[-84.007586,35.371661],[-84.008207,35.389683],[-84.021782,35.407418],[-84.00225,35.422548],[-83.992568,35.438065],[-83.973057,35.448921],[-83.971439,35.455145],[-83.966656,35.454941],[-83.961054,35.462838],[-83.949389,35.461164],[-83.937015,35.471511],[-83.911773,35.476028],[-83.905612,35.48906],[-83.880074,35.518745],[-83.859261,35.521851],[-83.848502,35.519259],[-83.827428,35.524653],[-83.802434,35.541588],[-83.780129,35.550387],[-83.771736,35.562118],[-83.749894,35.561146],[-83.735669,35.565455],[-83.723459,35.561874],[-83.707199,35.568533],[-83.676268,35.570289],[-83.640498,35.566075],[-83.608889,35.579451],[-83.582,35.562684],[-83.56609,35.565993],[-83.498335,35.562981],[-83.485527,35.568204],[-83.479317,35.582764],[-83.455722,35.598045],[-83.445802,35.611803],[-83.421576,35.611186],[-83.396626,35.62272],[-83.388602,35.632352],[-83.366941,35.638728],[-83.35156,35.659858],[-83.334965,35.665471],[-83.321101,35.662815],[-83.312757,35.654809],[-83.297154,35.65775],[-83.290682,35.672638],[-83.258117,35.691924],[-83.255489,35.714974],[-83.251247,35.719916],[-83.240669,35.72676],[-83.214501,35.724434],[-83.18837,35.729798],[-83.159208,35.764892],[-83.120183,35.766234],[-83.07403,35.790016],[-83.036209,35.787405],[-83.001473,35.773752],[-82.992053,35.773948],[-82.964088,35.78998],[-82.961724,35.800491],[-82.945515,35.824662],[-82.920171,35.841664],[-82.918312,35.863977],[-82.901301,35.872593],[-82.901843,35.890274],[-82.911936,35.921618],[-82.901577,35.931446],[-82.898506,35.9451],[-82.874159,35.952698],[-82.860724,35.94743],[-82.852554,35.949089],[-82.826045,35.929721],[-82.82257,35.922531],[-82.804997,35.927168],[-82.805771,35.935316],[-82.800431,35.944155],[-82.787465,35.952163],[-82.785356,35.96253],[-82.774905,35.971978],[-82.785558,35.977795],[-82.785267,35.987927],[-82.776001,36.000103],[-82.750065,36.006004],[-82.688865,36.038604],[-82.684765,36.045004],[-82.637165,36.065805],[-82.618664,36.056105],[-82.618164,36.047005],[-82.609663,36.044906],[-82.596177,36.03188],[-82.595525,36.026012],[-82.614362,36.003506],[-82.613028,35.994],[-82.604239,35.987319],[-82.610889,35.967409],[-82.581003,35.965557],[-82.576678,35.959255],[-82.557874,35.953901],[-82.549682,35.964275],[-82.507068,35.977475],[-82.483498,35.996284],[-82.460658,36.007809],[-82.409458,36.083409],[-82.355157,36.115609],[-82.336756,36.114909],[-82.321448,36.119551],[-82.289455,36.13571],[-82.270954,36.12761],[-82.260353,36.13371],[-82.247521,36.130865],[-82.213852,36.159112],[-82.182549,36.143714],[-82.147948,36.149516],[-82.136547,36.128817],[-82.137974,36.119576],[-82.127146,36.104417],[-82.105444,36.108119],[-82.080303,36.105728],[-82.061342,36.113121],[-82.054142,36.126821],[-82.033141,36.120422],[-81.908137,36.302013],[-81.879382,36.313767],[-81.857333,36.334787],[-81.841268,36.343321],[-81.800812,36.358073],[-81.766102,36.338517],[-81.730976,36.341187],[-81.707438,36.335171],[-81.707785,36.346007],[-81.721334,36.353101],[-81.732865,36.376502],[-81.729813,36.388033],[-81.737952,36.39719],[-81.739648,36.406686],[-81.720734,36.422537],[-81.715229,36.436532],[-81.71489,36.45722],[-81.695311,36.467912],[-81.697829,36.507544],[-81.707573,36.526101],[-81.707963,36.536209],[-81.699962,36.536829],[-81.69003,36.552154],[-81.690236,36.568718],[-81.677036,36.570718],[-81.677535,36.588117],[-81.003802,36.563629],[-80.837954,36.559131],[-80.704831,36.562319],[-80.295243,36.543973],[-80.122183,36.542646],[-78.529722,36.540981],[-77.16966,36.547315],[-77.152691,36.544078],[-76.916048,36.543815],[-76.916989,36.550742],[-76.12236,36.550621]]]]},\"properties\":{\"name\":\"North Carolina\",\"nation\":\"USA \"}}]}","volume":"98","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-25","publicationStatus":"PW","scienceBaseUri":"576913b9e4b07657d19ff040","contributors":{"authors":[{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tracy, Bryn H.","contributorId":172160,"corporation":false,"usgs":false,"family":"Tracy","given":"Bryn","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":639789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hogue, Gabriela M.","contributorId":172161,"corporation":false,"usgs":false,"family":"Hogue","given":"Gabriela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Starnes, Wayne C.","contributorId":152491,"corporation":false,"usgs":false,"family":"Starnes","given":"Wayne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134234,"text":"70134234 - 2015 - Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture","interactions":[],"lastModifiedDate":"2018-09-04T15:43:20","indexId":"70134234","displayToPublicDate":"2014-11-24T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture","docAbstract":"

Habitat loss and exposure to pesticides are likely primary factors contributing to amphibian decline in agricultural landscapes. Conservation efforts have attempted to restore wetlands lost through landscape modifications to reduce contaminant loads in surface waters and providing quality habitat to wildlife. The benefits of this increased wetland area, perhaps especially for amphibians, may be negated if habitat quality is insufficient to support persistent populations. We examined the presence of pesticides and nutrients in water and sediment as indicators of habitat quality and assessed the bioaccumulation of pesticides in the tissue of two native amphibian species Pseudacris maculata (chorus frogs) and Lithobates pipiens (leopard frogs) at six wetlands (3 restored and 3 reference) in Iowa, USA. Restored wetlands are positioned on the landscape to receive subsurface tile drainage water while reference wetlands receive water from overland run-off and shallow groundwater sources. Concentrations of the pesticides frequently detected in water and sediment samples were not different between wetland types. The median concentration of atrazine in surface water was 0.2 μg/L. Reproductive abnormalities in leopard frogs have been observed in other studies at these concentrations. Nutrient concentrations were higher in the restored wetlands but lower than concentrations thought lethal to frogs. Complex mixtures of pesticides including up to 8 fungicides, some previously unreported in tissue, were detected with concentrations ranging from 0.08 to 1500 μg/kg wet weight. No significant differences in pesticide concentrations were observed between species, although concentrations tended to be higher in leopard frogs compared to chorus frogs, possibly because of differences in life histories. Our results provide information on habitat quality in restored wetlands that will assist state and federal agencies, landowners, and resource managers in identifying and implementing conservation and management actions for these and similar wetlands in agriculturally dominated landscapes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.08.114","usgsCitation":"Smalling, K., Reeves, R., Muths, E.L., Vandever, M.W., Battaglin, W.A., Hladik, M., and Pierce, C.L., 2015, Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture: Science of the Total Environment, v. 502, p. 80-90, https://doi.org/10.1016/j.scitotenv.2014.08.114.","productDescription":"11 p.","startPage":"80","endPage":"90","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056800","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472454,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/99","text":"External Repository"},{"id":296274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.50439453125,\n 41.85115059465234\n ],\n [\n -94.50439453125,\n 42.28950073090457\n ],\n [\n -92.8289794921875,\n 42.28950073090457\n ],\n [\n -92.8289794921875,\n 41.85115059465234\n ],\n [\n -94.50439453125,\n 41.85115059465234\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"502","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ae02ae4b0da0a54dbb611","contributors":{"authors":[{"text":"Smalling, Kelly L. ksmall@usgs.gov","contributorId":1370,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Rebecca","contributorId":127566,"corporation":false,"usgs":false,"family":"Reeves","given":"Rebecca","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":525755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandever, Mark W. vandeverm@usgs.gov","contributorId":3004,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525758,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pierce, Clay L. cpierce@usgs.gov","contributorId":525,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":525760,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}