Earthquake-generated tsunamis threaten coastal areas and low-lying islands with sudden flooding. Although human hazards and infrastructure damage have been well documented for tsunamis in recent decades, the effects on wildlife communities rarely have been quantified. We describe a tsunami that hit the world's largest remaining tropical seabird rookery and estimate the effects of sudden flooding on 23 bird species nesting on Pacific islands more than 3,800 km from the epicenter. We used global positioning systems, tide gauge data, and satellite imagery to quantify characteristics of the Tōhoku earthquake-generated tsunami (11 March 2011) and its inundation extent across four Hawaiian Islands. We estimated short-term effects of sudden flooding to bird communities using spatially explicit data from Midway Atoll and Laysan Island, Hawai'i. We describe variation in species vulnerability based on breeding phenology, nesting habitat, and life history traits. The tsunami inundated 21%–100% of each island's area at Midway Atoll and Laysan Island. Procellariformes (albatrosses and petrels) chick and egg losses exceeded 258,500 at Midway Atoll while albatross chick losses at Laysan Island exceeded 21,400. The tsunami struck at night and during the peak of nesting for 14 colonial seabird species. Strongly philopatric Procellariformes were vulnerable to the tsunami. Nonmigratory, endemic, endangered Laysan Teal (Anas laysanensis) were sensitive to ecosystem effects such as habitat changes and carcass-initiated epizootics of avian botulism, and its populations declined approximately 40% on both atolls post-tsunami. Catastrophic flooding of Pacific islands occurs periodically not only from tsunamis, but also from storm surge and rainfall; with sea-level rise, the frequency of sudden flooding events will likely increase. As invasive predators occupy habitat on higher elevation Hawaiian Islands and globally important avian populations are concentrated on low-lying islands, additional conservation strategies may be warranted to increase resilience of island biodiversity encountering tsunamis and rising sea levels.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3092","usgsCitation":"Reynolds, M.H., Berkowitz, P., Klavitter, J., and Courtot, K., 2017, Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization: Ecology and Evolution, v. 7, no. 13, p. 5873-5890, https://doi.org/10.1002/ece3.3092.","productDescription":"18 p.","startPage":"5873","endPage":"5890","ipdsId":"IP-079977","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469575,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3092","text":"Publisher Index Page"},{"id":438232,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F708647F","text":"USGS data release","linkHelpText":"Northwestern Hawaiian Islands: Impacts to Avifauna from the Tohoku Tsunami 2011"},{"id":345381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59a9203fe4b07e1a023ccd9c","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":709125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkowitz, Paul","contributorId":192592,"corporation":false,"usgs":false,"family":"Berkowitz","given":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":709126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klavitter, John","contributorId":196052,"corporation":false,"usgs":false,"family":"Klavitter","given":"John","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":709127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":709128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190427,"text":"70190427 - 2017 - Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production","interactions":[],"lastModifiedDate":"2017-10-24T15:10:36","indexId":"70190427","displayToPublicDate":"2017-08-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production","docAbstract":"Counts of avian fledglings, nestlings, or clutch size that are bounded below by zero and above by some small integer form a discrete random variable distribution that is not approximated well by conventional parametric count distributions such as the Poisson or negative binomial. We developed a logistic quantile regression model to provide estimates of the empirical conditional distribution of a bounded discrete random variable. The logistic quantile regression model requires that counts are randomly jittered to a continuous random variable, logit transformed to bound them between specified lower and upper values, then estimated in conventional linear quantile regression, repeating the 3 steps and averaging estimates. Back-transformation to the original discrete scale relies on the fact that quantiles are equivariant to monotonic transformations. We demonstrate this statistical procedure by modeling 20 years of California Spotted Owl fledgling production (0−3 per territory) on the Lassen National Forest, California, USA, as related to climate, demographic, and landscape habitat characteristics at territories. Spotted Owl fledgling counts increased nonlinearly with decreasing precipitation in the early nesting period, in the winter prior to nesting, and in the prior growing season; with increasing minimum temperatures in the early nesting period; with adult compared to subadult parents; when there was no fledgling production in the prior year; and when percentage of the landscape surrounding nesting sites (202 ha) with trees ≥25 m height increased. Changes in production were primarily driven by changes in the proportion of territories with 2 or 3 fledglings. Average variances of the discrete cumulative distributions of the estimated fledgling counts indicated that temporal changes in climate and parent age class explained 18% of the annual variance in owl fledgling production, which was 34% of the total variance. Prior fledgling production explained as much of the variance in the fledgling counts as climate, parent age class, and landscape habitat predictors. Our logistic quantile regression model can be used for any discrete response variables with fixed upper and lower bounds.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-16-195.1","usgsCitation":"Cade, B.S., Noon, B.R., Scherer, R.D., and Keane, J.J., 2017, Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production: The Auk, v. 134, no. 4, p. 783-801, https://doi.org/10.1642/AUK-16-195.1.","productDescription":"19 p.","startPage":"783","endPage":"801","ipdsId":"IP-073770","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469577,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-16-195.1","text":"Publisher Index Page"},{"id":438233,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DR2SZR","text":"USGS data release","linkHelpText":"California spotted owl fledgling counts, climate, and landscape habitat at territories on the Lassen National Forest, CA 1991-2010"},{"id":345372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a7ced0e4b0fd9b77d0929a","contributors":{"authors":[{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":709101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noon, Barry R.","contributorId":119751,"corporation":false,"usgs":true,"family":"Noon","given":"Barry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":709102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scherer, Rick D.","contributorId":97368,"corporation":false,"usgs":false,"family":"Scherer","given":"Rick","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":709103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keane, John J.","contributorId":196049,"corporation":false,"usgs":false,"family":"Keane","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":709104,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190405,"text":"70190405 - 2017 - Trophic structure of mesopelagic fishes in the Gulf of Mexico revealed by gut content and stable isotope analyses","interactions":[],"lastModifiedDate":"2017-08-31T12:39:37","indexId":"70190405","displayToPublicDate":"2017-08-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5377,"text":"Marine Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Trophic structure of mesopelagic fishes in the Gulf of Mexico revealed by gut content and stable isotope analyses","docAbstract":"Mesopelagic fishes represent an important component of the marine food web due to their global distributions, high abundances and ability to transport organic material throughout a large part of the water column. This study combined stable isotope (SIAs) and gut content analyses (GCAs) to characterize the trophic structure of mesopelagic fishes in the North-Central Gulf of Mexico. Additionally, this study examined whether mesopelagic fishes utilized chemosynthetic energy from cold seeps. Specimens were collected (9–25 August 2007) over three deep (>1,000 m) cold seeps at discrete depths (surface to 1,503 m) over the diurnal cycle. GCA classified 31 species (five families) of mesopelagic fishes into five feeding guilds: piscivores, large crustacean consumers, copepod consumers, generalists and mixed zooplanktivores. However, these guilds were less clearly defined based on stable isotope mixing model (MixSIAR) results, suggesting diets may be more mixed over longer time periods (weeks–months) and across co-occurring species. Copepods were likely important for the majority of mesopelagic fishes, consistent with GCA (this study) and previous literature. MixSIAR results also identified non-crustacean prey items, including salps and pteropods, as potentially important prey items for mesopelagic fishes, including those fishes not analysed in GCA (Sternoptyx spp. and Melamphaidae). Salps and other soft-bodied species are often missed in GCAs. Mesopelagic fishes had δ13C results consistent with particulate organic matter serving as the baseline organic carbon source, fueling up to three trophic levels. Fishes that undergo diel vertical migration were depleted in 15N relative to weak migrators, consistent with depth-specific isotope trends in sources and consumers, and assimilation of 15N-depleted organic matter in surface waters. Linear correlations between fish size and δ15N values suggested ontogenetic changes in fish diets for several species. While there was no direct measure of mesopelagic fishes assimilating chemosynthetic material, detection of infrequent consumption of this food resource may be hindered by the assimilation of isotopically enriched photosynthetic organic matter. By utilizing multiple dietary metrics (e.g. GCA, δ13C, δ15N, MixSIAR), this study better defined the trophic structure of mesopelagic fishes and allowed for insights on feeding, ultimately providing useful baseline information from which to track mesopelagic trophodynamics over time and space.
","language":"English","publisher":"Wiley","doi":"10.1111/maec.12449","usgsCitation":"McClain-Counts, J.P., Demopoulos, A.W., and Ross, S., 2017, Trophic structure of mesopelagic fishes in the Gulf of Mexico revealed by gut content and stable isotope analyses: Marine Ecology, v. 38, no. 4, Article e12449; 23 p., https://doi.org/10.1111/maec.12449.","productDescription":"Article e12449; 23 p.","ipdsId":"IP-074617","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438234,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7891407","text":"USGS data release","linkHelpText":"Trophic structure of mesopelagic fishes in the Gulf of Mexico revealed by gut content and stable isotope analyses"},{"id":345328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-20","publicationStatus":"PW","scienceBaseUri":"59a7ced2e4b0fd9b77d092ab","contributors":{"authors":[{"text":"McClain-Counts, Jennifer P. 0000-0002-3383-5472 jmcclaincounts@usgs.gov","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":4745,"corporation":false,"usgs":true,"family":"McClain-Counts","given":"Jennifer","email":"jmcclaincounts@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":708996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":708997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":708998,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190406,"text":"70190406 - 2017 - Prediction of forest canopy and surface fuels from Lidar and satellite time series data in a bark beetle-affected forest","interactions":[],"lastModifiedDate":"2017-08-30T14:09:12","indexId":"70190406","displayToPublicDate":"2017-08-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of forest canopy and surface fuels from Lidar and satellite time series data in a bark beetle-affected forest","docAbstract":"Wildfire behavior depends on the type, quantity, and condition of fuels, and the effect that bark beetle outbreaks have on fuels is a topic of current research and debate. Remote sensing can provide estimates of fuels across landscapes, although few studies have estimated surface fuels from remote sensing data. Here we predicted and mapped field-measured canopy and surface fuels from light detection and ranging (lidar) and Landsat time series explanatory variables via random forest (RF) modeling across a coniferous montane forest in Colorado, USA, which was affected by mountain pine beetles (Dendroctonus ponderosae Hopkins) approximately six years prior. We examined relationships between mapped fuels and the severity of tree mortality with correlation tests. RF models explained 59%, 48%, 35%, and 70% of the variation in available canopy fuel, canopy bulk density, canopy base height, and canopy height, respectively (percent root-mean-square error (%RMSE) = 12–54%). Surface fuels were predicted less accurately, with models explaining 24%, 28%, 32%, and 30% of the variation in litter and duff, 1 to 100-h, 1000-h, and total surface fuels, respectively (%RMSE = 37–98%). Fuel metrics were negatively correlated with the severity of tree mortality, except canopy base height, which increased with greater tree mortality. Our results showed how bark beetle-caused tree mortality significantly reduced canopy fuels in our study area. We demonstrated that lidar and Landsat time series data contain substantial information about canopy and surface fuels and can be used for large-scale efforts to monitor and map fuel loads for fire behavior modeling at a landscape scale.
","language":"English","publisher":"MDPI","doi":"10.3390/f8090322","usgsCitation":"Bright, B.C., Hudak, A.T., Meddens, A.J., Hawbaker, T., Briggs, J.S., and Kennedy, R.E., 2017, Prediction of forest canopy and surface fuels from Lidar and satellite time series data in a bark beetle-affected forest: Forests, v. 9, no. 8, p. 1-22, https://doi.org/10.3390/f8090322.","productDescription":"Article 322; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-086687","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8090322","text":"Publisher Index Page"},{"id":345363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.04415893554688,\n 39.904469075530415\n ],\n [\n -105.70220947265625,\n 39.904469075530415\n ],\n [\n -105.70220947265625,\n 40.32246702124231\n ],\n [\n -106.04415893554688,\n 40.32246702124231\n ],\n [\n -106.04415893554688,\n 39.904469075530415\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-30","publicationStatus":"PW","scienceBaseUri":"59a7ced1e4b0fd9b77d092a6","contributors":{"authors":[{"text":"Bright, Benjamin C.","contributorId":196021,"corporation":false,"usgs":false,"family":"Bright","given":"Benjamin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":709004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudak, Andrew T.","contributorId":196022,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":709005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meddens, Arjan J.H.","contributorId":140349,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","email":"","middleInitial":"J.H.","affiliations":[{"id":13466,"text":"Univ. of Idaho","active":true,"usgs":false}],"preferred":false,"id":709007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709008,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Robert E.","contributorId":196025,"corporation":false,"usgs":false,"family":"Kennedy","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":709010,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190425,"text":"70190425 - 2017 - Simultaneous estimation of diet composition and calibration coefficients with fatty acid signature data","interactions":[],"lastModifiedDate":"2017-08-30T14:06:56","indexId":"70190425","displayToPublicDate":"2017-08-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Simultaneous estimation of diet composition and calibration coefficients with fatty acid signature data","docAbstract":"Knowledge of animal diets provides essential insights into their life history and ecology, although diet estimation is challenging and remains an active area of research. Quantitative fatty acid signature analysis (QFASA) has become a popular method of estimating diet composition, especially for marine species. A primary assumption of QFASA is that constants called calibration coefficients, which account for the differential metabolism of individual fatty acids, are known. In practice, however, calibration coefficients are not known, but rather have been estimated in feeding trials with captive animals of a limited number of model species. The impossibility of verifying the accuracy of feeding trial derived calibration coefficients to estimate the diets of wild animals is a foundational problem with QFASA that has generated considerable criticism. We present a new model that allows simultaneous estimation of diet composition and calibration coefficients based only on fatty acid signature samples from wild predators and potential prey. Our model performed almost flawlessly in four tests with constructed examples, estimating both diet proportions and calibration coefficients with essentially no error. We also applied the model to data from Chukchi Sea polar bears, obtaining diet estimates that were more diverse than estimates conditioned on feeding trial calibration coefficients. Our model avoids bias in diet estimates caused by conditioning on inaccurate calibration coefficients, invalidates the primary criticism of QFASA, eliminates the need to conduct feeding trials solely for diet estimation, and consequently expands the utility of fatty acid data to investigate aspects of ecology linked to animal diets.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3179","usgsCitation":"Bromaghin, J.F., Budge, S.M., Thiemann, G.W., and Rode, K.D., 2017, Simultaneous estimation of diet composition and calibration coefficients with fatty acid signature data: Ecology and Evolution, v. 7, no. 16, p. 6103-6113, https://doi.org/10.1002/ece3.3179.","productDescription":"11 p.","startPage":"6103","endPage":"6113","ipdsId":"IP-082762","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3179","text":"Publisher Index Page"},{"id":345362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"59a7ced1e4b0fd9b77d0929f","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":709068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":709070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":709071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":709069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190340,"text":"70190340 - 2017 - Simulated effects of YY-male stocking and manual suppression for eradicating nonnative Brook Trout populations","interactions":[],"lastModifiedDate":"2017-08-29T10:19:25","indexId":"70190340","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Simulated effects of YY-male stocking and manual suppression for eradicating nonnative Brook Trout populations","docAbstract":"Eradication of nonnative Brook Trout Salvelinus fontinalis populations is difficult to achieve with standard techniques, such as electrofishing removal or piscicides; new approaches are needed. A novel concept is to stock “supermale” hatchery fish with wild conspecifics. Supermales (MYY) have two Y-chromosomes, resulting in offspring that are all males; over time, successful supermale reproduction could eradicate the wild population. We constructed an age-structured stochastic model to investigate the effects of manually suppressing wild fish and stocking MYY fingerlings on the long-term viability of hypothetical nonnative Brook Trout populations. In streams, an annual stocking rate of supermales equivalent to 50% of wild age-0 Brook Trout density combined with an annual selective suppression rate equivalent to 50% of wild Brook Trout density resulted in a time to extirpation of only 2–4 years if supermale fitness was equivalent to wild male fitness. However, time to extirpation in streams was 5–15 years if supermale fitness was 80% lower than wild male fitness. In alpine lakes, higher supermale stocking rates and nonselective gillnetting were required to eradicate Brook Trout populations. If supermales were assumed to be as fit as wild males, however, any supermale stocking rate greater than 49% in alpine lakes or 60% in streams achieved eradication in 10 years or less, regardless of the suppression rate. Because manual suppression and the stocking of MYY fingerlings can readily be conducted at the levels assumed in our simulations, use of such an integrated pest management (IPM) approach could extirpate undesirable Brook Trout populations within reasonably short periods of time. Given the recent successful development of an MYY Brook Trout broodstock capable of producing large numbers of MYY fingerlings and given the positive results of the present simulations for both streams and alpine lakes, field testing of MYY stocking is warranted within an IPM program that includes manual suppression for eradicating undesirable Brook Trout populations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1342720","usgsCitation":"Schill, D.J., Meyer, K., and Hansen, M.J., 2017, Simulated effects of YY-male stocking and manual suppression for eradicating nonnative Brook Trout populations: North American Journal of Fisheries Management, v. 37, no. 5, p. 1054-1066, https://doi.org/10.1080/02755947.2017.1342720.","productDescription":"13 p.","startPage":"1054","endPage":"1066","ipdsId":"IP-085808","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02755947.2017.1342720","text":"Publisher Index Page"},{"id":345244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"59a67d3fe4b0fd9b77ce4780","contributors":{"authors":[{"text":"Schill, Daniel J.","contributorId":195886,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Kevin A.","contributorId":195887,"corporation":false,"usgs":false,"family":"Meyer","given":"Kevin A.","affiliations":[],"preferred":false,"id":708592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190378,"text":"70190378 - 2017 - Integrated geophysical characteristics of the 2015 Illapel, Chile, earthquake","interactions":[],"lastModifiedDate":"2017-08-29T11:21:01","indexId":"70190378","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geophysical characteristics of the 2015 Illapel, Chile, earthquake","docAbstract":"On 16 September 2015, a Mw 8.3 earthquake ruptured the subduction zone offshore of Illapel, Chile, generating an aftershock sequence with 14 Mw 6.0–7.0 events. A double source W phase moment tensor inversion consists of a Mw 7.2 subevent and the main Mw 8.2 phase. We determine two slip models for the mainshock, one using teleseismic broadband waveforms and the other using static GPS and InSAR surface displacements, which indicate high slip north of the epicenter and west-northwest of the epicenter near the oceanic trench. These models and slip distributions published in other studies suggest spatial slip uncertainties of ~25 km and have peak slip values that vary by a factor of 2. We relocate aftershock hypocenters using a Bayesian multiple-event relocation algorithm, revealing a cluster of aftershocks under the Chilean coast associated with deep (20–45 km depth) mainshock slip. Less vigorous aftershock activity also occurred near the trench and along strike of the main aftershock region. Most aftershocks are thrust-faulting events, except for normal-faulting events near the trench. Coulomb failure stress change amplitudes and signs are uncertain for aftershocks collocated with deeper mainshock slip; other aftershocks are more clearly associated with loading from the mainshock. These observations reveal a frictionally heterogeneous interface that ruptured in patches at seismogenic depths (associated with many aftershocks) and with homogeneous slip (and few aftershocks) up to the trench. This event likely triggered seismicity separate from the main slip region, including along-strike events on the megathrust and intraplate extensional events.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013617","usgsCitation":"Herman, M.W., Nealy, J., Yeck, W.L., Barnhart, W., Hayes, G.P., Furlong, K.P., and Benz, H.M., 2017, Integrated geophysical characteristics of the 2015 Illapel, Chile, earthquake: Journal of Geophysical Research B: Solid Earth, v. 122, no. 6, p. 4691-4711, https://doi.org/10.1002/2016JB013617.","productDescription":"21","startPage":"4691","endPage":"4711","ipdsId":"IP-084811","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","city":"Illapel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.19449615478516,\n -31.640229241591086\n ],\n [\n -71.18900299072266,\n -31.652212394297177\n ],\n [\n -71.16153717041016,\n -31.639352364896208\n ],\n [\n -71.14248275756836,\n -31.627513720252146\n ],\n [\n -71.1390495300293,\n -31.62385951329282\n ],\n [\n -71.14660263061523,\n -31.61815866386382\n ],\n [\n -71.18247985839844,\n -31.616989215685837\n ],\n [\n -71.19449615478516,\n -31.640229241591086\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-29","publicationStatus":"PW","scienceBaseUri":"59a67d3ee4b0fd9b77ce476a","contributors":{"authors":[{"text":"Herman, Matthew W.","contributorId":195964,"corporation":false,"usgs":false,"family":"Herman","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":708774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nealy, Jennifer 0000-0002-6743-2487 jnealy@usgs.gov","orcid":"https://orcid.org/0000-0002-6743-2487","contributorId":147559,"corporation":false,"usgs":true,"family":"Nealy","given":"Jennifer","email":"jnealy@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":708776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, William D. 0000-0003-0498-1697","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":192730,"corporation":false,"usgs":false,"family":"Barnhart","given":"William D.","affiliations":[],"preferred":false,"id":708777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":708779,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708780,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189749,"text":"sir20175082 - 2017 - Modern landscape processes affecting archaeological sites along the Colorado River corridor downstream of Glen Canyon Dam, Glen Canyon National Recreation Area, Arizona","interactions":[],"lastModifiedDate":"2017-08-30T10:02:08","indexId":"sir20175082","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5082","title":"Modern landscape processes affecting archaeological sites along the Colorado River corridor downstream of Glen Canyon Dam, Glen Canyon National Recreation Area, Arizona","docAbstract":"The landscape of the Colorado River through Glen Canyon National Recreation Area formed over many thousands of years and was modified substantially after the completion of Glen Canyon Dam in 1963. Changes to river flow, sediment supply, channel base level, lateral extent of sedimentary terraces, and vegetation in the post-dam era have modified the river-corridor landscape and have altered the effects of geologic processes that continue to shape the landscape and its cultural resources. The Glen Canyon reach of the Colorado River downstream of Glen Canyon Dam hosts many archaeological sites that are prone to erosion in this changing landscape. This study uses field evaluations from 2016 and aerial photographs from 1952, 1973, 1984, and 1996 to characterize changes in potential windblown sand supply and drainage configuration that have occurred over more than six decades at 54 archaeological sites in Glen Canyon and uppermost Marble Canyon. To assess landscape change at these sites, we use two complementary geomorphic classification systems. The first evaluates the potential for aeolian (windblown) transport of river-derived sand from the active river channel to higher elevation archaeological sites. The second identifies whether rills, gullies, or arroyos (that is, overland drainages that erode the ground surface) exist at the archaeological sites as well as the geomorphic surface, and therefore the relative base level, to which those flow paths drain. Results of these assessments are intended to aid in the management of irreplaceable archaeological resources by the National Park Service and stakeholders of the Glen Canyon Dam Adaptive Management Program.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175082","usgsCitation":"East, A.E., Sankey, J.B., Fairley, H.C., Caster, J.J., and Kasprak, A., 2017, Modern landscape processes affecting archaeological sites along the Colorado River corridor downstream of Glen Canyon Dam, Glen Canyon National Recreation Area, Arizona: U.S. Geological Survey Scientific Investigations Report 2017–5082, 22 p., https://doi.org/10.3133/sir20175082.","productDescription":"iii, 22 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-086536","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":345264,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5082/sir20175082.pdf","text":"Report","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5082"},{"id":345263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5082/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon, Lake Powell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63551330566406,\n 36.75594019674357\n ],\n [\n -111.14044189453124,\n 36.75594019674357\n ],\n [\n -111.14044189453124,\n 37.020646433887805\n ],\n [\n -111.63551330566406,\n 37.020646433887805\n ],\n [\n -111.63551330566406,\n 36.75594019674357\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Salish Kootenai College (SKC), in the Flathead Reservation in the northwestern corner of Montana, is the largest of the seven Tribal colleges in the State. In 2011, U.S. Geological Survey (USGS) National Tribal Liaison Monique Fordham from the Office of Tribal Relations/Office of Science Quality and Integrity began discussions with SKC faculty to examine ways the USGS could assist with classes taught as part of the new hydrology program at the college. With funding provided by the USGS Office of Tribal Relations, Roy Sando from the Wyoming-Montana Water Science Center began collaborating with SKC. From 2012 to 2017, Sando and others have developed and taught eight educational workshops at SKC. Topics of the workshops have included classifying land cover using remote sensing, characterizing stream channel migration, estimating actual evapotranspiration, modeling groundwater contamination plumes, and building custom geographic information system tools. By contributing to the educational training of SKC students and establishing this high level of collaboration with a Tribal college, the USGS is demonstrating its commitment to helping build the next generation of Tribal scientists.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173065","collaboration":"Prepared in cooperation with Salish Kootenai College","usgsCitation":"Sando, Roy, and Fordham, Monique, 2017, Salish Kootenai College and U.S. Geological Survey partnership—Enhancing student opportunities and professional development: U.S. Geological Survey Fact Sheet 2017–3065, 2 p., https://doi.org/10.3133/fs20173065.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-084969","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":345201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3065/coverthb2.jpg"},{"id":345202,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3065/fs20173065.pdf","text":"Report","size":"373 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3065"}],"contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
The vertical distribution of zooplankton can have substantial influence on trophic structure in freshwater systems, particularly by determining spatial overlap for predator/prey dynamics and influencing energy transfer. The zooplankton community in some of the Laurentian Great Lakes has undergone changes in composition and declines in total biomass, especially after 2003. Mechanisms underlying these zooplankton changes remain poorly understood, in part, because few studies have described their vertical distributions during daytime and nighttime conditions or evaluated the extent to which predation, resources, or environmental conditions could explain their distribution patterns. Within multiple 24-h periods during July through October 2012 in Lake Huron, we conducted daytime and nighttime sampling of zooplankton, and measured food (chlorophyll-a), temperature, light (Secchi disk depth), and planktivory (biomass of Bythotrephes longimanus and Mysis diluviana). We used linear mixed models to determine whether the densities for 22 zooplankton taxa varied between day and night in the epi-, meta-, and hypolimnion. For eight taxa, higher epilimnetic densities were observed at night than during the day; general linear models revealed these patterns were best explained by Mysis diluviana (four taxa), Secchi disk depth (three taxa), epilimnetic water temperature (three taxa), chlorophyll (one taxon), and biomass of Bythotrephes longimanus (one taxon). By investigating the potential effects of both biotic and abiotic variables on the vertical distribution of crustacean zooplankton and rotifers, we provide descriptions of the Lake Huron zooplankton community and discuss how future changes in food web dynamics or climate change may alter zooplankton distribution in freshwater environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.08.004","usgsCitation":"Nowicki, C.J., Bunnell, D., Dieter, P.M., Warner, D.M., Vanderploeg, H.A., Cavaletto, J.F., Mayer, C.M., and Adams, J.V., 2017, Biotic and abiotic factors influencing zooplankton vertical distribution in Lake Huron: Journal of Great Lakes Research, v. 43, no. 6, p. 1044-1054, https://doi.org/10.1016/j.jglr.2017.08.004.","productDescription":"11 p.","startPage":"1044","endPage":"1054","ipdsId":"IP-077143","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.08.004","text":"Publisher Index Page"},{"id":345246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a67d3fe4b0fd9b77ce477e","contributors":{"authors":[{"text":"Nowicki, Carly J.","contributorId":195889,"corporation":false,"usgs":false,"family":"Nowicki","given":"Carly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":708599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderploeg, Henry A.","contributorId":195891,"corporation":false,"usgs":false,"family":"Vanderploeg","given":"Henry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavaletto, Joann F.","contributorId":195892,"corporation":false,"usgs":false,"family":"Cavaletto","given":"Joann","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":708604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708606,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70190395,"text":"70190395 - 2017 - Polar bears and sea ice habitat change","interactions":[],"lastModifiedDate":"2021-04-26T15:01:11.138007","indexId":"70190395","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Polar bears and sea ice habitat change","docAbstract":"The polar bear (Ursus maritimus) is an obligate apex predator of Arctic sea ice and as such can be affected by climate warming-induced changes in the extent and composition of pack ice and its impacts on their seal prey. Sea ice declines have negatively impacted some polar bear subpopulations through reduced energy input because of loss of hunting habitats, higher energy costs due to greater ice drift, ice fracturing and open water, and ultimately greater challenges to recruit young. Projections made from the output of global climate models suggest that polar bears in peripheral Arctic and sub-Arctic seas will be reduced in numbers or become extirpated by the end of the twenty-first century if the rate of climate warming continues on its present trajectory. The same projections also suggest that polar bears may persist in the high-latitude Arctic where heavy multiyear sea ice that has been typical in that region is being replaced by thinner annual ice. Underlying physical and biological oceanography provides clues as to why polar bear in some regions are negatively impacted, while bears in other regions have shown no apparent changes. However, continued declines in sea ice will eventually challenge the survival of polar bears and efforts to conserve them in all regions of the Arctic.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine mammal welfare","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46994-2_23","usgsCitation":"Durner, G.M., and Atwood, T.C., 2017, Polar bears and sea ice habitat change, chap. of Marine mammal welfare, p. 419-443, https://doi.org/10.1007/978-3-319-46994-2_23.","productDescription":"25 p.","startPage":"419","endPage":"443","ipdsId":"IP-075153","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":345287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"59a67d3de4b0fd9b77ce475a","contributors":{"editors":[{"text":"Butterworth, Andy","contributorId":45100,"corporation":false,"usgs":false,"family":"Butterworth","given":"Andy","email":"","affiliations":[],"preferred":false,"id":708949,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":708915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":708916,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189536,"text":"sir20175078 - 2017 - A process to estimate net infiltration using a site-scale water-budget approach, Rainier Mesa, Nevada National Security Site, Nevada, 2002–05","interactions":[],"lastModifiedDate":"2025-05-15T13:26:07.262019","indexId":"sir20175078","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5078","title":"A process to estimate net infiltration using a site-scale water-budget approach, Rainier Mesa, Nevada National Security Site, Nevada, 2002–05","docAbstract":"This report documents a process used to estimate net infiltration from precipitation, evapotranspiration (ET), and soil data acquired at two sites on Rainier Mesa. Rainier Mesa is a groundwater recharge area within the Nevada National Security Site where recharged water flows through bedrock fractures to a deep (450 meters) water table. The U.S. Geological Survey operated two ET stations on Rainier Mesa from 2002 to 2005 at sites characterized by pinyon-juniper and scrub-brush vegetative cover. Precipitation and ET data were corrected to remove measurement biases and gap-filled to develop continuous datasets. Net infiltration (percolation below the root zone) and changes in root-zone water storage were estimated using a monthly water-balance model.
Site-scale water-budget results indicate that the heavily-fractured welded-tuff bedrock underlying thin (<40 centimeters) topsoil is a critical water source for vegetation during dry periods. Annual precipitation during the study period ranged from fourth lowest (182 millimeters [mm]) to second highest (708 mm) on record (record = 55 years). Annual ET exceeded precipitation during dry years, indicating that the fractured-bedrock reservoir capacity is sufficient to meet atmospheric-evaporative demands and to sustain vegetation through extended dry periods. Net infiltration (82 mm) was simulated during the wet year after the reservoir was rapidly filled to capacity. These results support previous conclusions that preferential fracture flow was induced, resulting in an episodic recharge pulse that was detected in nearby monitoring wells. The occurrence of net infiltration only during the wet year is consistent with detections of water-level rises in nearby monitoring wells that occur only following wet years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175078","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office under Interagency Agreement DE-NA0001654","usgsCitation":"Smith, D.W., Moreo, M.T., Garcia, C.A., Halford, K.J., and Fenelon, J.M., 2017, A process to estimate net infiltration using a site-scale water-budget approach, Rainier Mesa, Nevada National Security Site, Nevada, 2002–05: U.S. Geological Survey Scientific Investigations Report 2017-5078, 22 p., https://doi.org/10.3133/sir20175078.","productDescription":"Report: v, 22 p.; Data Release","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-070070","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":345229,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5078/coverthb.jpg"},{"id":345230,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5078/sir20175078.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5078"},{"id":345231,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7222SP5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Supplemental data from—A process to estimate net infiltration using a site-scale water-budget approach, Rainier Mesa, Nevada National Security Site, 2002-05"}],"country":"United States","state":"Nevada","otherGeospatial":"Rainier Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.1333,\n 37.1\n ],\n [\n -116.2667,\n 37.1\n ],\n [\n -116.2667,\n 37.2667\n ],\n [\n -116.1333,\n 37.2667\n ],\n [\n -116.1333,\n 37.1\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, Nevada 89701
Probabilistic forecasting of earthquake‐producing fault ruptures informs all major decisions aimed at reducing seismic risk and improving earthquake resilience. Earthquake forecasting models rely on two scales of hazard evolution: long‐term (decades to centuries) probabilities of fault rupture, constrained by stress renewal statistics, and short‐term (hours to years) probabilities of distributed seismicity, constrained by earthquake‐clustering statistics. Comprehensive datasets on both hazard scales have been integrated into the Uniform California Earthquake Rupture Forecast, Version 3 (UCERF3). UCERF3 is the first model to provide self‐consistent rupture probabilities over forecasting intervals from less than an hour to more than a century, and it is the first capable of evaluating the short‐term hazards that result from multievent sequences of complex faulting. This article gives an overview of UCERF3, illustrates the short‐term probabilities with aftershock scenarios, and draws some valuable scientific conclusions from the modeling results. In particular, seismic, geologic, and geodetic data, when combined in the UCERF3 framework, reject two types of fault‐based models: long‐term forecasts constrained to have local Gutenberg–Richter scaling, and short‐term forecasts that lack stress relaxation by elastic rebound.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170045","usgsCitation":"Field, E., Jordan, T.H., Page, M.T., Milner, K.R., Shaw, B., Dawson, T.E., Biasi, G., Parsons, T.E., Hardebeck, J.L., Michael, A.J., Weldon, R.J., Powers, P.M., Johnson, K.M., Zeng, Y., Bird, P., Felzer, K., van der Elst, N., Madden, C., Arrowsmith, R., Werner, M.J., and Thatcher, W.R., 2017, A synoptic view of the Third Uniform California Earthquake Rupture Forecast (UCERF3): Seismological Research Letters, v. 88, no. 5, p. 1259-1267, https://doi.org/10.1785/0220170045.","productDescription":"9 p.","startPage":"1259","endPage":"1267","ipdsId":"IP-087214","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469585,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/9bb6e89e-733e-4a2a-a6c8-53f5a4fc8046","text":"External Repository"},{"id":345218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-12","publicationStatus":"PW","scienceBaseUri":"59a52bcfe4b0fa5ae7c74819","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":708723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordan, Thomas H.","contributorId":75055,"corporation":false,"usgs":true,"family":"Jordan","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":708724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":708725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milner, Kevin R.","contributorId":63494,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaw, Bruce E.","contributorId":93810,"corporation":false,"usgs":true,"family":"Shaw","given":"Bruce E.","affiliations":[],"preferred":false,"id":708727,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":708728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Biasi, Glenn 0000-0003-0940-5488 gbiasi@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-5488","contributorId":195946,"corporation":false,"usgs":true,"family":"Biasi","given":"Glenn","email":"gbiasi@usgs.gov","affiliations":[],"preferred":true,"id":708729,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708730,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":708731,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":708732,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":708733,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708734,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, Kaj M.","contributorId":92526,"corporation":false,"usgs":true,"family":"Johnson","given":"Kaj","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708735,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708736,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bird, Peter","contributorId":195948,"corporation":false,"usgs":false,"family":"Bird","given":"Peter","email":"","affiliations":[],"preferred":false,"id":708737,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Felzer, Karen 0000-0003-0828-5525 kfelzer@usgs.gov","orcid":"https://orcid.org/0000-0003-0828-5525","contributorId":145408,"corporation":false,"usgs":true,"family":"Felzer","given":"Karen","email":"kfelzer@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":708738,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"van der Elst, Nicholas nvanderelst@usgs.gov","contributorId":146631,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":708739,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Madden, Christopher","contributorId":195949,"corporation":false,"usgs":false,"family":"Madden","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":708740,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Arrowsmith, Ramon","contributorId":181555,"corporation":false,"usgs":false,"family":"Arrowsmith","given":"Ramon","email":"","affiliations":[],"preferred":false,"id":708741,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Werner, Maximillan J.","contributorId":194147,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708742,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":708743,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70190000,"text":"70190000 - 2017 - Alligator, Alligator mississippiensis, habitat suitability index model","interactions":[],"lastModifiedDate":"2017-08-27T11:35:49","indexId":"70190000","displayToPublicDate":"2017-08-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"chapter":"Appendix C3-10","displayTitle":"Alligator, Alligator mississippiensis, habitat suitability index model","title":"Alligator, Alligator mississippiensis, habitat suitability index model","docAbstract":"The 2012 Coastal Master Plan utilized Habitat Suitability Indices (HSIs) to evaluate potential project effects on wildlife species. Even though HSIs quantify habitat condition, which may not directly correlate to species abundance, they remain a practical and tractable way to assess changes in habitat quality from various restoration actions. As part of the legislatively mandated five year update to the 2012 plan, the wildlife habitat suitability indices were updated and revised using literature and existing field data where available. The outcome of these efforts resulted in improved, or in some cases entirely new suitability indices. This report describes the development of the habitat suitability indices for the American alligator, Alligator mississippiensis.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2017 Coastal Master Plan","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","publisherLocation":"Baton Rouge, LA","usgsCitation":"Waddle, J., 2017, Alligator, Alligator mississippiensis, habitat suitability index model (Final), 24 p.","productDescription":"24 p.","ipdsId":"IP-069455","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":344529,"type":{"id":11,"text":"Document"},"url":"https://coastal.la.gov/wp-content/uploads/2017/04/Attachment-C3-10_FINAL03.09.2017.pdf","text":"Appendix C3-10 (This Publication)"},{"id":345178,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2017-coastal-master-plan/","text":"2017 Coastal Master Plan"},{"id":345179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Final","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a3da30e4b077f005673223","contributors":{"authors":[{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":168952,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":707073,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190275,"text":"fs20173068 - 2017 - Landslide monitoring in the Atlantic Highlands area, New Jersey","interactions":[],"lastModifiedDate":"2017-08-27T08:25:59","indexId":"fs20173068","displayToPublicDate":"2017-08-25T13:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3068","title":"Landslide monitoring in the Atlantic Highlands area, New Jersey","docAbstract":"Shallow and deep-seated landslides have occurred episodically on the steep coastal bluffs of the Atlantic Highlands area (Boroughs of Atlantic Highlands and Highlands) in New Jersey. The oldest documented deep-seated landslide occurred in April 1782 and significantly changed the morphology of the bluff. However, recent landslides have been mostly shallow in nature and have occurred during large storms with exceptionally heavy rainfall. These shallow landslides have resulted in considerable damage to residential property and local infrastructure and threatened human safety.
The recent shallow landslides in the area (locations modified from New Jersey Department of Environmental Protection) consist primarily of slumps and flows of earth and debris within areas of historical landslides or on slopes modified by human activities. Such landslides are typically triggered by increases in shallow soil moisture and pore-water pressure caused by sustained and intense rainfall associated with spring nor’easters and late summer–fall tropical cyclones. However, the critical relation between rainfall, soil-moisture conditions, and landslide movement has not been fully defined. The U.S. Geological Survey is currently monitoring hillslopes within the Atlantic Highlands area to better understand the hydrologic and meteorological conditions associated with shallow landslide initiation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173068","usgsCitation":"Reilly, P.A., Ashland, F.X., and Fiore, A.R., 2017, Landslide monitoring in the Atlantic Highlands area, New Jersey: U.S. Geological Survey Fact Sheet 2017–3068, 4 p., https://doi.org/10.3133/fs20173068.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087942","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":345056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3068/fs20173068.pdf","text":"Report","size":"3.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3068"},{"id":345055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3068/coverthb2.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.06021118164062,\n 40.3836897366636\n ],\n [\n -73.96717071533203,\n 40.3836897366636\n ],\n [\n -73.96717071533203,\n 40.43649540640561\n ],\n [\n -74.06021118164062,\n 40.43649540640561\n ],\n [\n -74.06021118164062,\n 40.3836897366636\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Municipalities in Johnson County in northeastern Kansas are required to implement stormwater management programs to reduce pollutant discharges, protect water quality, and comply with applicable water-quality regulations in accordance with National Pollutant Discharge Elimination System permits for stormwater discharge. To this end, municipalities collect grab samples at streams entering and leaving their jurisdiction to determine levels of excessive nutrients, sediment, and fecal bacteria to characterize pollutants and understand the factors affecting them.
In 2014, the U.S. Geological Survey and the Johnson County Stormwater Management Program, with input from the Kansas Department of Health and Environment, initiated a 5-year monitoring program to satisfy minimum sampling requirements for each municipality as described by new stormwater permits issued to Johnson County municipalities. The purpose of this report is to provide a preliminary assessment of the monitoring program. The monitoring program is described, a preliminary assessment of the monitoring program design is provided using water-quality data collected during the first 2 years of the program, and the ability of the current monitoring network and sampling plan to provide data sufficient to quantify improvements in water quality resulting from implemented and planned best management practices is evaluated. The information in this initial report may be used to evaluate changes in data collection methods while data collection is still ongoing that may lead to improved data utility.
Discrete water-quality samples were collected at 27 sites and analyzed for nutrients, Escherichia coli (E. coli) bacteria, total suspended solids, and suspended-sediment concentration. In addition, continuous water-quality data (water temperature, pH, dissolved oxygen, specific conductance, turbidity, and nitrate plus nitrite) were collected at one site to characterize variability and provide a basis for comparison to discrete data. Base flow samples indicated that point sources are likely affecting nutrient concentrations and E. coli bacteria densities at several sites. Concentrations of all analytes in storm runoff samples were characterized by substantial variability among sites and samples. About one-half of the sites, representing different watersheds, had storm runoff samples with nitrogen concentrations greater than 10 milligrams per liter. About one-third of the sites, representing different watersheds, had storm runoff samples with total phosphorus concentrations greater than 3 milligrams per liter. Six sites had samples with E. coli densities greater than 100,000 colonies per 100 milliliters of water. Total suspended solids concentrations of about 12,000 milligrams per liter or greater occurred in samples from three sites.
Data collected for this monitoring program may be useful for some general assessment purposes but may also be limited in potential to fully inform stormwater management activities. Valuable attributes of the monitoring program design included incorporating many sites across the county for comparisons among watersheds and municipalities, using fixed-stage samplers to collect multiple samples during single events, collection of base flow samples in addition to storm samples to isolate possible point sources from stormwater sources, and use of continuous monitors to characterize variability. Limiting attributes of the monitoring program design included location of monitoring sites along municipal boundaries to satisfy permit requirements rather than using watershed-based criteria such as locations of tributaries, potential pollutant sources, and implemented management practices. Additional limiting attributes include having a large number of widespread sampling locations, which presented logistical challenges for predicting localized rainfall and collecting and analyzing samples during short timeframes associated with storms, and collecting storm samples at fixed-stage elevations only during the rising limb of storms, which does not characterize conditions over the storm hydrograph. The small number of samples collected per site resulted in a sample size too small to be representative of site conditions, including seasonal and hydrologic variability, and insufficient for meaningful statistical analysis or site-specific modeling.
Several measures could be taken to improve data utility and include redesigning the monitoring network according to watershed characteristics, incorporating a nested design in which data are collected at different scales (watershed, subwatershed, and best management practices), increasing sampling frequency, and combining different methods to allow for flexibility to focus on areas and conditions of particular interest. A monitoring design that would facilitate most of these improvements would be to focus efforts on a limited number of watersheds for several years, then cycle to the next set of watersheds for several years, eventually returning to previously monitored watersheds to document changes.
Redesign of the water-quality monitoring program requires considerable effort and commitment from municipalities of Johnson County. However, the long-term benefit likely is a monitoring program that results in improved stream conditions and more effective management practices and efficient expenditure of resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175089","collaboration":"Prepared in cooperation with the Johnson County [Kans.] Stormwater Management Program","usgsCitation":"Rasmussen, T.J., and Paxson, C.R., 2017, Preliminary assessment of a water-quality monitoring program for total maximum daily loads in Johnson County, Kansas, January 2015 through June 2016: U.S. Geological Survey Scientific Investigations Report 2017–5089, 20 p., https://doi.org/10.3133/sir20175089.","productDescription":"Report: vi, 20 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-082145","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":345128,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GT5M2G","text":"USGS data release","description":"USGS data release","linkHelpText":"Water-quality data"},{"id":345101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5089/coverthb.jpg"},{"id":345102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5089/sir20175089.pdf","text":"Report","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5089"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.08,\n 38.7\n ],\n [\n -94.61,\n 38.7\n ],\n [\n -94.61,\n 39.08\n ],\n [\n -95.08,\n 39.08\n ],\n [\n -95.08,\n 38.7\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
BACKGROUND: Spray irrigation for land-applying livestock manure is increasing in the United States as farms become larger and economies of scale make manure irrigation affordable. Human health risks from exposure to zoonotic pathogens aerosolized during manure irrigation are not well understood.
OBJECTIVES: We aimed to a) estimate human health risks due to aerosolized zoonotic pathogens downwind of spray-irrigated dairy manure; and b) determine which factors (e.g., distance, weather conditions) have the greatest influence on risk estimates.
METHODS: We sampled downwind air concentrations of manure-borne fecal indicators and zoonotic pathogens during 21 full-scale dairy manure irri- gation events at three farms. We fit these data to hierarchical empirical models and used model outputs in a quantitative microbial risk assessment (QMRA) to estimate risk [probability of acute gastrointestinal illness (AGI)] for individuals exposed to spray-irrigated dairy manure containing Campylobacter jejuni, enterohemorrhagic Escherichia coli (EHEC), or Salmonella spp.
RESULTS: Median risk estimates from Monte Carlo simulations ranged from 10−5 to 10−2 and decreased with distance from the source. Risk estimates for Salmonella or EHEC-related AGI were most sensitive to the assumed level of pathogen prevalence in dairy manure, while risk estimates for C. jejuni were not sensitive to any single variable. Airborne microbe concentrations were negatively associated with distance and positively associated with wind speed, both of which were retained in models as a significant predictor more often than relative humidity, solar irradiation, or temperature.
CONCLUSIONS: Our model-based estimates suggest that reducing pathogen prevalence and concentration in source manure would reduce the risk of AGI from exposure to manure irrigation, and that increasing the distance from irrigated manure (i.e., setbacks) and limiting irrigation to times of low wind speed may also reduce risk.
","language":"English","publisher":"U.S. Department of Health and Human Services","doi":"10.1289/EHP283","usgsCitation":"Burch, T., Spencer, S.K., Stokdyk, J.P., Kieke, B.A., Larson, R., Firnstahl, A.D., Rule, A.M., and Borchardt, M.A., 2017, Quantitative microbial risk assessment for spray irrigation of dairy manure based on an empirical fate and transport model: Environmental Health Perspectives, v. 125, no. 8, p. 1-11, https://doi.org/10.1289/EHP283.","productDescription":"Article 087009; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-074697","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":469590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1289/ehp283","text":"Publisher Index Page"},{"id":345097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"125","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5b7e4b038630d0220f1","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":708266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":708267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kieke, Burney A","contributorId":195802,"corporation":false,"usgs":false,"family":"Kieke","given":"Burney","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":708268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Rebecca A","contributorId":195803,"corporation":false,"usgs":false,"family":"Larson","given":"Rebecca A","affiliations":[],"preferred":false,"id":708269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708270,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rule, Ana M","contributorId":195804,"corporation":false,"usgs":false,"family":"Rule","given":"Ana","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":708271,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":708272,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70190278,"text":"70190278 - 2017 - Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93","interactions":[],"lastModifiedDate":"2017-08-24T09:21:23","indexId":"70190278","displayToPublicDate":"2017-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93","title":"Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93","docAbstract":"Acetylene (C2H2) is a trace constituent of the present Earth's oxidizing atmosphere, reflecting a mixture of terrestrial and marine emissions from anthropogenic, biomass-burning, and unidentified biogenic sources. Fermentation of acetylene was serendipitously discovered during C2H2 block assays of N2O reductase, and Pelobacter acetylenicus was shown to grow on C2H2 via acetylene hydratase (AH). AH is a W-containing, catabolic, low-redox-potential enzyme that, unlike nitrogenase (N2ase), is specific for acetylene. Acetylene fermentation is a rare metabolic process that is well characterized only in P. acetylenicus DSM3246 and DSM3247 and Pelobacter sp. strain SFB93. To better understand the genetic controls for AH activity, we sequenced the genomes of the three acetylene-fermenting Pelobacter strains. Genome assembly and annotation produced three novel genomes containing gene sequences for AH, with two copies being present in SFB93. In addition, gene sequences for all five compulsory genes for iron-molybdenum N2ase were also present in the three genomes, indicating the cooccurrence of two acetylene transformation pathways. Nitrogen fixation growth assays showed that DSM3426 could ferment acetylene in the absence of ammonium, but no ethylene was produced. However, SFB93 degraded acetylene and, in the absence of ammonium, produced ethylene, indicating an active N2ase. Diazotrophic growth was observed under N2 but not in experimental controls incubated under argon. SFB93 exhibits acetylene fermentation and nitrogen fixation, the only known biochemical mechanisms for acetylene transformation. Our results indicate complex interactions between N2ase and AH and suggest novel evolutionary pathways for these relic enzymes from early Earth to modern days.
","language":"English","publisher":"American Society of Microbiology","doi":"10.1128/AEM.01198-17","usgsCitation":"Akob, D.M., Baesman, S., Sutton, J.M., Fierst, J.L., Mumford, A.C., Shrestha, Y., Poret-Peterson, A.T., Bennett, S.C., Dunlap, D.S., Haase, K.B., and Oremland, R.S., 2017, Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93: Applied and Environmental Microbiology, v. 17, no. 83, p. 1-10, https://doi.org/10.1128/AEM.01198-17.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-081526","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469594,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.01198-17","text":"Publisher Index Page"},{"id":438240,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71JH","text":"USGS data release","linkHelpText":"Discovery of Two Biological Mechanisms for Acetylene Metabolism in a Single Organism"},{"id":345099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"83","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5b7e4b038630d0220f4","contributors":{"authors":[{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":708251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":708252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":708255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shrestha, Yesha 0000-0002-9714-8516 yshrestha@usgs.gov","orcid":"https://orcid.org/0000-0002-9714-8516","contributorId":189970,"corporation":false,"usgs":true,"family":"Shrestha","given":"Yesha","email":"yshrestha@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":708257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bennett, Stacy C. 0000-0001-5752-1390 scbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-5752-1390","contributorId":193487,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacy","email":"scbennett@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":708261,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dunlap, Darren S. 0000-0001-5595-6817 ddunlap@usgs.gov","orcid":"https://orcid.org/0000-0001-5595-6817","contributorId":5260,"corporation":false,"usgs":true,"family":"Dunlap","given":"Darren","email":"ddunlap@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708258,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":3405,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708259,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":708260,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70187533,"text":"ofr20171051 - 2017 - Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri","interactions":[],"lastModifiedDate":"2024-03-04T19:00:21.524263","indexId":"ofr20171051","displayToPublicDate":"2017-08-23T14:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1051","title":"Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri","docAbstract":"The Clarence Cannon National Wildlife Refuge (CCNWR) in the Mississippi River flood plain of eastern Missouri provides high quality emergent marsh and moist-soil habitat benefitting both nesting marsh birds and migrating waterfowl. Staff of CCNWR manipulate water levels and vegetation in the 17 units of the CCNWR to provide conditions favorable to these two important guilds. Although both guilds include focal species at multiple planning levels and complement objectives to provide a diversity of wetland community types and water regimes, additional decision support is needed for choosing how much emergent marsh and moist-soil habitat should be provided through annual management actions.
To develop decision guidance for balanced delivery of high-energy waterfowl habitat and breeding marsh bird habitat, two measureable management objectives were identified: nonbreeding Anas Linnaeus (dabbling duck) use-days and Rallus elegans (king rail) occupancy of managed units. Three different composite management actions were identified to achieve these objectives. Each composite management action is a unique combination of growing season water regime and soil disturbance. The three composite management actions are intense moist-soil management (moist-soil), intermediate moist-soil (intermediate), and perennial management, which idles soils disturbance (perennial). The two management objectives and three management options were used in a multi-criteria decision analysis to indicate resource allocations and inform annual decision making. Outcomes of the composite management actions were predicted in two ways and multi-criteria decision analysis was used with each set of predictions. First, outcomes were predicted using expert-elicitation techniques and a panel of subject matter experts. Second, empirical data from the Integrated Waterbird Management and Monitoring Initiative collected between 2010 and 2013 were used; where data were lacking, expert judgment was used. Also, a Bayesian decision model was developed that can be updated with monitoring data in an adaptive management framework.
Optimal resource allocations were identified in the form of portfolios of composite management actions for the 17 units in the framework. A constrained optimization (linear programming) was used to maximize an objective function that was based on the sum of dabbling duck and king rail utility. The constraints, which included management costs and a minimum energetic carrying capacity (total moist-soil acres), were applied to balance habitat delivery for dabbling ducks and king rails. Also, the framework was constrained in some cases to apply certain management actions of interest to certain management units; these constraints allowed for a variety of hypothetical Habitat Management Plans, including one based on output from a hydrogeomorphic study of the refuge. The decision analysis thus created numerous refuge-wide scenarios, each representing a unique mix of options (one for each of 17 units) and associated benefits (i.e., outcomes with respect to two management objectives).
Prepared in collaboration with the U.S. Fish and Wildlife Service, the decision framework presented here is designed as a decision-aiding tool for CCNWR managers who ultimately make difficult decisions each year with multiple objectives, multiple management units, and the complexity of natural systems. The framework also provides a way to document hypotheses about how the managed system functions. Furthermore, the framework identifies specific monitoring needs and illustrates precisely how monitoring data will be used for decision-aiding and adaptive management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171051","usgsCitation":"Loges, B.W., Lyons, J.E., and Tavernia, B.G., 2017, Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri: U.S. Geological Survey Open-File ReportDirector, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road, Ste 4039
Laurel, MD 20708
Digital flood-inundation maps for a 10.2-mile reach of the Wabash River from Sevenmile Island to 3.7 mile downstream of Memorial Bridge (officially known as Lincoln Memorial Bridge) at Vincennes, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 03343010, Wabash River at Memorial Bridge at Vincennes, Ind. Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
For this study, flood profiles were computed for the Wabash River reach by means of a one-dimensional stepbackwater model. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03343010, Wabash River at Memorial Bridge at Vincennes, Ind., and preliminary high-water marks from a high-water event on April 27, 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from 10 feet (ft) or near bankfull to 28 ft, the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System (GIS) digital elevation model (DEM, derived from Light Detection and Ranging [lidar] data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) in order to delineate the area flooded at each water level.
The availability of these maps—along with Internet information regarding current stage from the USGS streamgage 03343010, and forecast stream stages from the NWS AHPS—provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175073","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Fowler, K.K., and Menke, C.D., 2017, Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana: U.S. Geological Survey Scientific Investigations Report 2017–5073, 10 p., https://doi.org/10.3133/sir20175073.","productDescription":"Report: vi, 10 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081973","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":345020,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZG6QGC","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Wabash River at Memorial Bridge, Vincennes, Indiana, Flood-Inundation Geospatial Data Sets and Metadata"},{"id":345018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5073/coverthb.jpg"},{"id":345019,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5073/sir20175073.pdf","text":"Report","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5073"}],"country":"United States","state":"Indiana","city":"Vincennes","otherGeospatial":"Wabash River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.74,\n 38.46434231629165\n ],\n [\n -87.19161987304688,\n 38.46434231629165\n ],\n [\n -87.19161987304688,\n 38.89744587262311\n ],\n [\n -87.74,\n 38.89744587262311\n ],\n [\n -87.74,\n 38.46434231629165\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Boulevard
Indianapolis, IN 46278–1996
In this study, the scenarios ultimately take the form of gridded, daily (maximum and minimum) temperatures and precipitation totals spanning the entire Truckee-Carson River System, from which meteorological inputs to various hydrologic, water-balance and watermanagement models can be extracted by other parts of the Water for the Seasons project and by other studies and stakeholders.
Climate scenarios are constructed using: 1) survey data from interviews with 66 Truckee-Carson River System water-management and water-interest organizations to identify plausible drought and high-flow events that could stress the system irreparably; 2) input from the Stakeholder Affiliate Group and other modelers on the Water for the Seasons team to gain additional key stakeholder input with regard to organizational survey results and to identify the most pressing water-management issues being faced in the system; and 3) historical climate datasets used to simulate possible future conditions.
","language":"English","publisher":"University of Nevada Cooperative Extension Special Publication","usgsCitation":"Dettinger, M.D., Sterle, K., Simpson, K., Singletary, L., Fitzgerald, K., and McCarthy, M., 2017, Climate scenarios for the Truckee-Carson River system, 12 p.","productDescription":"12 p.","ipdsId":"IP-076327","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":345050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345049,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.unce.unr.edu/publications/files/nr/2017/sp1705.pdf"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Carson River, Truckee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.75622558593749,\n 38.45789034424927\n ],\n [\n -119.17694091796875,\n 38.45789034424927\n ],\n [\n -119.17694091796875,\n 39.776880380637024\n ],\n [\n -120.75622558593749,\n 39.776880380637024\n ],\n [\n -120.75622558593749,\n 38.45789034424927\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9446e4b04935557fe9ad","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":707875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterle, Kelley","contributorId":195683,"corporation":false,"usgs":false,"family":"Sterle","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":707876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Karen","contributorId":195684,"corporation":false,"usgs":false,"family":"Simpson","given":"Karen","email":"","affiliations":[],"preferred":false,"id":707877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singletary, Loretta","contributorId":195685,"corporation":false,"usgs":false,"family":"Singletary","given":"Loretta","email":"","affiliations":[],"preferred":false,"id":707878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Kelsey","contributorId":195686,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":707880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarthy, Maureen","contributorId":149897,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":707879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190265,"text":"70190265 - 2017 - Landscape complementation revealed through bipartite networks: An example with the Florida manatee","interactions":[],"lastModifiedDate":"2018-03-28T10:58:15","indexId":"70190265","displayToPublicDate":"2017-08-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape complementation revealed through bipartite networks: An example with the Florida manatee","docAbstract":"Context\nLandscape complementation, or how landscapes that contain two or more non-substitutable and spatially separated resources facilitate resource use, is critical for many populations. Implicit to the problem of landscape complementation is the movement of individuals to access multiple resources. Conventional measures of complementation, such as habitat area or distance between habitats, do not consider the spatial configuration of resources or how landscape features impede movement.\n\nObjectives\nWe advanced a bipartite network approach to capture the spatial configuration and connectivity of two habitat types and contrasted this framework to conventional approaches in a habitat selection model.\n\nMethods\nUsing satellite-telemetry of the Florida manatee (Trichechus manatus latirostris), a marine mammal that relies on two distinct, spatially separate habitats for foraging and thermoregulating, we parameterized and compared mixed conditional logistic models with covariates describing classic habitat selection metrics, conventional measures of landscape complementation, and bipartite network metrics.\n\nResults\nThe models best supported included habitat area, resistance distance between habitats, and the bipartite network metric eigenvector centrality. The connectivity between habitats and the spatial configuration of one habitat type relative to other types better described habitat selection than conventional measures of landscape complementation alone. The type of habitat, i.e. seagrass or thermal refuge, influenced both the direction and magnitude of the response.\n\nConclusions\nLandscape complementation is an important predictor of selection and thus classic complementation measures are not sufficient in describing the process. Formalization of complementation with bipartite network can therefor reveal effects potentially missed with conventional measures.","language":"English","publisher":"Springer","doi":"10.1007/s10980-017-0560-5","usgsCitation":"Haase, C.G., Fletcher, R.J., Slone, D., Reid, J.P., and Butler, S.M., 2017, Landscape complementation revealed through bipartite networks: An example with the Florida manatee: Landscape Ecology, v. 32, no. 10, p. 1999-2014, https://doi.org/10.1007/s10980-017-0560-5.","productDescription":"16 p.","startPage":"1999","endPage":"2014","ipdsId":"IP-080969","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":345021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-82.821585,27.964443],[-82.829801,27.968469],[-82.823063,28.044758],[-82.836326,28.073193],[-82.830525,28.085293],[-82.826125,28.083793],[-82.813435,28.03716],[-82.815168,28.012547],[-82.821755,28.002494],[-82.815168,27.973721],[-82.821585,27.964443]]],[[[-81.582923,24.658732],[-81.562917,24.692912],[-81.535323,24.67954],[-81.51898,24.687818],[-81.5124,24.703737],[-81.476642,24.711244],[-81.469275,24.704286],[-81.459043,24.707355],[-81.451881,24.714518],[-81.456588,24.740097],[-81.451267,24.747464],[-81.432032,24.722908],[-81.421595,24.737641],[-81.430599,24.747259],[-81.425483,24.752989],[-81.392947,24.743371],[-81.38558,24.726182],[-81.36041,24.708788],[-81.319282,24.701238],[-81.309664,24.665017],[-81.298028,24.656774],[-81.332831,24.639528],[-81.395096,24.621062],[-81.401946,24.623564],[-81.403319,24.640294],[-81.414187,24.647167],[-81.448623,24.640172],[-81.470411,24.641985],[-81.480951,24.645121],[-81.47641,24.653197],[-81.480504,24.659757],[-81.49858,24.66498],[-81.505585,24.654609],[-81.511165,24.625135],[-81.54645,24.614895],[-81.602998,24.586444],[-81.664209,24.573143],[-81.685278,24.558739],[-81.81289,24.546468],[-81.814446,24.56358],[-81.811386,24.56975],[-81.800676,24.570989],[-81.794057,24.586],[-81.739241,24.589973],[-81.730473,24.58196],[-81.705364,24.597647],[-81.687017,24.592534],[-81.655735,24.616295],[-81.637087,24.621408],[-81.614829,24.642764],[-81.614529,24.650584],[-81.582923,24.658732]]],[[[-82.15068,24.576331],[-82.143075,24.593395],[-82.125268,24.597426],[-82.104187,24.588256],[-82.099417,24.572522],[-82.116787,24.549144],[-82.159439,24.548212],[-82.165206,24.552159],[-82.164426,24.563375],[-82.15068,24.576331]]],[[[-81.249799,24.673357],[-81.243232,24.673998],[-81.244761,24.669202],[-81.281778,24.65375],[-81.260006,24.674848],[-81.249799,24.673357]]],[[[-80.909954,24.781154],[-80.906288,24.769867],[-80.912042,24.76505],[-80.938543,24.767535],[-81.015933,24.719881],[-81.023794,24.716901],[-81.032447,24.727323],[-81.064554,24.715453],[-81.075855,24.704266],[-81.078439,24.692382],[-81.108041,24.688592],[-81.125371,24.708291],[-81.066816,24.723926],[-81.041797,24.742965],[-81.016918,24.734676],[-80.960129,24.764226],[-80.909954,24.781154]]],[[[-81.317673,24.75729],[-81.305468,24.756612],[-81.290801,24.736862],[-81.288259,24.720881],[-81.302984,24.714199],[-81.310744,24.727068],[-81.326844,24.728375],[-81.357417,24.756834],[-81.342695,24.75625],[-81.324637,24.76721],[-81.317673,24.75729]]],[[[-80.89054,24.791678],[-80.884572,24.791561],[-80.906874,24.783744],[-80.89054,24.791678]]],[[[-80.788263,24.824218],[-80.796053,24.81194],[-80.822342,24.812629],[-80.850338,24.8026],[-80.79278,24.843918],[-80.780564,24.84052],[-80.788263,24.824218]]],[[[-80.729275,24.865361],[-80.719977,24.864644],[-80.691762,24.885759],[-80.690354,24.881539],[-80.71185,24.863323],[-80.766966,24.836158],[-80.729275,24.865361]]],[[[-84.777208,29.707398],[-84.729836,29.738881],[-84.696726,29.76993],[-84.694939,29.761844],[-84.713747,29.74139],[-84.776954,29.692191],[-84.884632,29.652248],[-84.957779,29.612635],[-85.051033,29.586928],[-85.097082,29.625215],[-85.023501,29.597073],[-85.017205,29.604379],[-84.968314,29.617238],[-84.920333,29.648638],[-84.813352,29.687028],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.114268,29.688658],[-85.093902,29.684838],[-85.077237,29.670862],[-85.097218,29.633004],[-85.124913,29.628433],[-85.18453,29.663987],[-85.222546,29.678039],[-85.184776,29.68271],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.255159,26.70816],[-82.246535,26.706435],[-82.24251,26.694361],[-82.246535,26.683437],[-82.218342,26.626407],[-82.214337,26.602944],[-82.177541,26.502328],[-82.166042,26.489679],[-82.149368,26.477605],[-82.120046,26.473581],[-82.088423,26.455182],[-82.076924,26.466106],[-82.062551,26.470131],[-82.038403,26.456907],[-82.013913,26.452058],[-82.063114,26.425459],[-82.082915,26.422059],[-82.126671,26.436279],[-82.177017,26.471558],[-82.186441,26.489221],[-82.205523,26.566536],[-82.222131,26.590402],[-82.238872,26.636433],[-82.268007,26.682791],[-82.264351,26.698496],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.351399,25.190615],[-80.349855,25.168825],[-80.377084,25.130487],[-80.399767,25.108536],[-80.428318,25.095547],[-80.443375,25.076084],[-80.47387,25.060253],[-80.493881,25.038502],[-80.48912,25.031301],[-80.494781,25.023019],[-80.537995,24.990244],[-80.565831,24.958155],[-80.611693,24.93842],[-80.635571,24.913003],[-80.659395,24.897433],[-80.660198,24.90498],[-80.641306,24.914311],[-80.623866,24.931236],[-80.621658,24.944265],[-80.581131,24.964738],[-80.570813,24.962215],[-80.558785,24.971505],[-80.54411,24.999916],[-80.545971,25.01477],[-80.524498,25.016945],[-80.509136,25.028317],[-80.495569,25.047497],[-80.460652,25.078904],[-80.465496,25.086609],[-80.494715,25.102269],[-80.484188,25.10943],[-80.47748,25.107407],[-80.476174,25.099454],[-80.450399,25.088751],[-80.433575,25.106317],[-80.446473,25.151287],[-80.41326,25.137053],[-80.395467,25.150694],[-80.387164,25.170859],[-80.391909,25.19221],[-80.369965,25.206444],[-80.3498,25.210595],[-80.337345,25.231353],[-80.336159,25.261601],[-80.368186,25.282359],[-80.339421,25.290069],[-80.328746,25.28651],[-80.292567,25.314385],[-80.275961,25.344039],[-80.256982,25.361239],[-80.246307,25.398603],[-80.21428,25.416988],[-80.192336,25.473331],[-80.188778,25.50773],[-80.174544,25.518406],[-80.173951,25.482821],[-80.184033,25.468587],[-80.204198,25.412244],[-80.221991,25.397417],[-80.240376,25.347005],[-80.250581,25.34193]]],[[[-83.309455,30.634417],[-82.214839,30.568591],[-82.231916,30.55627],[-82.23582,30.537187],[-82.226933,30.510281],[-82.201416,30.485164],[-82.210291,30.42459],[-82.19294,30.378779],[-82.165192,30.358035],[-82.104834,30.368319],[-82.094687,30.360781],[-82.068533,30.359184],[-82.050069,30.362338],[-82.036825,30.377884],[-82.04199,30.403266],[-82.034005,30.422357],[-82.037209,30.434518],[-82.017779,30.475081],[-82.018361,30.531184],[-82.005477,30.563495],[-82.015708,30.601704],[-82.026941,30.606153],[-82.028499,30.621829],[-82.049507,30.655548],[-82.050432,30.676266],[-82.036426,30.706585],[-82.043795,30.729641],[-82.039634,30.747727],[-82.01266,30.761289],[-82.024035,30.783156],[-82.017051,30.791657],[-82.007865,30.792937],[-81.981273,30.776767],[-81.973856,30.778487],[-81.962534,30.796526],[-81.962175,30.818001],[-81.949787,30.827493],[-81.910926,30.815889],[-81.89572,30.821098],[-81.868608,30.792754],[-81.852626,30.794439],[-81.842058,30.78712],[-81.808529,30.790014],[-81.792769,30.784432],[-81.782653,30.769937],[-81.763372,30.77382],[-81.719927,30.744634],[-81.694778,30.748414],[-81.688925,30.741434],[-81.672824,30.738935],[-81.664598,30.746599],[-81.652123,30.742435],[-81.65177,30.732284],[-81.646137,30.727591],[-81.625098,30.733017],[-81.617663,30.722046],[-81.609495,30.720705],[-81.601206,30.728141],[-81.542675,30.713593],[-81.530531,30.722858],[-81.489537,30.7261],[-81.472597,30.713312],[-81.444124,30.709714],[-81.42742,30.69802],[-81.443099,30.600938],[-81.442564,30.555189],[-81.434064,30.522569],[-81.447087,30.503679],[-81.440108,30.497678],[-81.42601,30.496739],[-81.410809,30.482039],[-81.407008,30.42204],[-81.397422,30.400626],[-81.396407,30.34004],[-81.385505,30.273841],[-81.308978,29.96944],[-81.295268,29.928614],[-81.270442,29.883106],[-81.256711,29.784693],[-81.240924,29.739218],[-81.163581,29.55529],[-80.966176,29.14796],[-80.709725,28.756692],[-80.574868,28.585166],[-80.560973,28.530736],[-80.525094,28.459454],[-80.526732,28.451705],[-80.562877,28.437779],[-80.587813,28.410856],[-80.606874,28.336484],[-80.604214,28.257733],[-80.589975,28.17799],[-80.566432,28.09563],[-80.508871,27.970477],[-80.383695,27.740045],[-80.350553,27.628361],[-80.330956,27.597541],[-80.311757,27.524625],[-80.30117,27.500314],[-80.293171,27.500314],[-80.253665,27.37979],[-80.16147,27.192814],[-80.153375,27.169308],[-80.159554,27.163325],[-80.093909,27.018587],[-80.031362,26.796339],[-80.03212,26.77153],[-80.037462,26.76634],[-80.032862,26.700842],[-80.038863,26.569347],[-80.060564,26.444652],[-80.079865,26.264358],[-80.089365,26.231859],[-80.108995,26.088372],[-80.117778,25.986369],[-80.119684,25.841043],[-80.127987,25.772245],[-80.144,25.740812],[-80.154972,25.66549],[-80.160903,25.664897],[-80.176916,25.685062],[-80.166241,25.72895],[-80.184626,25.745557],[-80.197674,25.74437],[-80.240376,25.724206],[-80.267065,25.651849],[-80.296719,25.622195],[-80.305615,25.593134],[-80.302057,25.567632],[-80.313918,25.539164],[-80.328746,25.53264],[-80.339421,25.499427],[-80.337049,25.465621],[-80.328152,25.443084],[-80.320442,25.437153],[-80.326373,25.422919],[-80.32578,25.39801],[-80.306801,25.384369],[-80.31036,25.3731],[-80.335269,25.338701],[-80.374116,25.31735],[-80.418872,25.235532],[-80.495341,25.199463],[-80.569124,25.190117],[-80.669236,25.137837],[-80.777499,25.135047],[-80.82653,25.160478],[-80.838227,25.174791],[-80.858167,25.176576],[-80.899459,25.162337],[-80.900559,25.139755],[-80.970727,25.134084],[-80.999176,25.124222],[-81.049308,25.128322],[-81.079859,25.118797],[-81.141024,25.163868],[-81.146737,25.193139],[-81.171265,25.221609],[-81.16207,25.289833],[-81.148915,25.318067],[-81.151916,25.324766],[-81.140099,25.341117],[-81.12141,25.33875],[-81.117265,25.354953],[-81.128492,25.380511],[-81.150508,25.387255],[-81.146765,25.407577],[-81.168652,25.463848],[-81.208201,25.504937],[-81.204389,25.538908],[-81.209321,25.548611],[-81.225557,25.55847],[-81.240519,25.599041],[-81.240677,25.613629],[-81.253951,25.638181],[-81.290328,25.687506],[-81.328935,25.717233],[-81.346078,25.721473],[-81.343984,25.747668],[-81.361875,25.772715],[-81.340406,25.786631],[-81.352731,25.822015],[-81.386127,25.839906],[-81.394476,25.851834],[-81.417536,25.864954],[-81.441391,25.863761],[-81.458487,25.868929],[-81.473992,25.888411],[-81.508979,25.884037],[-81.511762,25.89676],[-81.527665,25.901531],[-81.584519,25.888808],[-81.644553,25.897953],[-81.663821,25.885605],[-81.678287,25.845301],[-81.68954,25.85271],[-81.713172,25.897568],[-81.727086,25.907207],[-81.73195,25.931506],[-81.749724,25.960463],[-81.747834,25.994273],[-81.762439,26.00607],[-81.801663,26.088227],[-81.820675,26.236735],[-81.833142,26.294518],[-81.868983,26.378648],[-81.91171,26.427158],[-81.964212,26.457957],[-81.969509,26.476505],[-82.008961,26.484052],[-82.01368,26.490829],[-82.00908,26.505203],[-82.024604,26.512677],[-82.043577,26.519577],[-82.06715,26.513252],[-82.07175,26.492554],[-82.105672,26.48393],[-82.111996,26.54085],[-82.137869,26.637441],[-82.181565,26.681712],[-82.17984,26.696661],[-82.173516,26.701836],[-82.139019,26.702986],[-82.125795,26.699536],[-82.106247,26.667339],[-82.099922,26.662739],[-82.093023,26.665614],[-82.084974,26.702411],[-82.066575,26.742657],[-82.061401,26.789228],[-82.055076,26.802452],[-82.059101,26.876621],[-82.090723,26.888694],[-82.093023,26.906518],[-82.090148,26.923191],[-82.061976,26.931241],[-82.063126,26.950214],[-82.076349,26.958263],[-82.107972,26.957688],[-82.117171,26.954239],[-82.137294,26.926066],[-82.162017,26.925491],[-82.175241,26.916867],[-82.156267,26.851898],[-82.147068,26.789803],[-82.151093,26.783479],[-82.172941,26.778879],[-82.17869,26.772555],[-82.221812,26.77198],[-82.232193,26.78288],[-82.251134,26.755881],[-82.259867,26.717398],[-82.269499,26.784674],[-82.289086,26.827784],[-82.351649,26.908384],[-82.445718,27.060634],[-82.477019,27.141231],[-82.539719,27.254326],[-82.569754,27.279452],[-82.569248,27.298588],[-82.597629,27.335754],[-82.642821,27.38972],[-82.691821,27.437218],[-82.714521,27.500415],[-82.745748,27.538834],[-82.708121,27.523514],[-82.710621,27.501715],[-82.706821,27.498415],[-82.686421,27.497215],[-82.683621,27.513115],[-82.674621,27.519614],[-82.65072,27.523115],[-82.632053,27.551908],[-82.612019,27.571231],[-82.611717,27.585283],[-82.584629,27.596021],[-82.570607,27.608882],[-82.558538,27.638678],[-82.514265,27.705588],[-82.494891,27.718963],[-82.477638,27.723004],[-82.482305,27.742649],[-82.434635,27.764355],[-82.418401,27.803187],[-82.402857,27.812671],[-82.393383,27.837519],[-82.402615,27.882602],[-82.413915,27.901401],[-82.451591,27.907506],[-82.460016,27.9116],[-82.462078,27.920066],[-82.478063,27.92768],[-82.491117,27.9145],[-82.488057,27.863566],[-82.46884,27.843295],[-82.47244,27.822559],[-82.511193,27.828015],[-82.553946,27.848462],[-82.552918,27.862702],[-82.538618,27.864901],[-82.529918,27.877501],[-82.542818,27.890601],[-82.531318,27.9039],[-82.533718,27.932999],[-82.553918,27.966998],[-82.576003,27.969424],[-82.62959,27.998474],[-82.678606,27.993715],[-82.684793,27.971824],[-82.720522,27.955798],[-82.724122,27.948098],[-82.720395,27.937199],[-82.710022,27.928299],[-82.691621,27.924899],[-82.685121,27.916299],[-82.628063,27.910397],[-82.63422,27.9037],[-82.63212,27.8911],[-82.61002,27.873501],[-82.567919,27.883701],[-82.566819,27.858002],[-82.598443,27.857582],[-82.586519,27.816703],[-82.622723,27.779868],[-82.63052,27.753905],[-82.62572,27.727006],[-82.63362,27.710607],[-82.652521,27.700307],[-82.677321,27.706207],[-82.679019,27.696054],[-82.713629,27.698661],[-82.718822,27.692007],[-82.721622,27.663908],[-82.712555,27.646647],[-82.698091,27.638858],[-82.705017,27.62531],[-82.733076,27.612972],[-82.739122,27.636909],[-82.738022,27.706807],[-82.746223,27.731306],[-82.760923,27.745205],[-82.783124,27.783804],[-82.828561,27.822254],[-82.846526,27.854301],[-82.851126,27.8863],[-82.840882,27.937162],[-82.831388,27.962117],[-82.824875,27.960201],[-82.821975,27.956868],[-82.838484,27.909111],[-82.832155,27.909242],[-82.805462,27.960201],[-82.792635,28.01116],[-82.792635,28.032307],[-82.782724,28.055894],[-82.781324,28.127591],[-82.790724,28.15249],[-82.808474,28.154803],[-82.805097,28.172181],[-82.797762,28.187789],[-82.762643,28.219013],[-82.764103,28.244345],[-82.759072,28.25402],[-82.746188,28.261192],[-82.732792,28.291933],[-82.73146,28.325075],[-82.706112,28.368057],[-82.706322,28.401325],[-82.697433,28.420166],[-82.684137,28.428019],[-82.674787,28.441956],[-82.680396,28.457194],[-82.665055,28.484434],[-82.669416,28.519879],[-82.656694,28.544814],[-82.66165,28.554143],[-82.654138,28.590837],[-82.664055,28.606584],[-82.674665,28.647588],[-82.668889,28.694302],[-82.712373,28.720921],[-82.698281,28.75701],[-82.730245,28.850155],[-82.688864,28.905609],[-82.702618,28.932955],[-82.723861,28.953506],[-82.735754,28.973709],[-82.737872,28.995703],[-82.758906,28.993277],[-82.764055,28.999707],[-82.753513,29.026496],[-82.759704,29.054192],[-82.783328,29.064619],[-82.780558,29.07358],[-82.816925,29.076215],[-82.823659,29.098902],[-82.801166,29.105103],[-82.799117,29.110647],[-82.805703,29.129848],[-82.804736,29.146624],[-82.827073,29.158425],[-82.974676,29.17091],[-82.991653,29.180664],[-83.018212,29.151417],[-83.019071,29.141324],[-83.030453,29.134023],[-83.053207,29.130839],[-83.056867,29.146263],[-83.068249,29.153135],[-83.061162,29.176113],[-83.087839,29.21642],[-83.074734,29.247975],[-83.077265,29.255331],[-83.089013,29.266502],[-83.107477,29.268889],[-83.128027,29.282733],[-83.169576,29.290355],[-83.17826,29.327916],[-83.175518,29.34469],[-83.200702,29.373855],[-83.202446,29.394422],[-83.218075,29.420492],[-83.240509,29.433178],[-83.272019,29.432256],[-83.294747,29.437923],[-83.311546,29.475666],[-83.33113,29.475594],[-83.356722,29.499901],[-83.370288,29.499901],[-83.379254,29.503558],[-83.383973,29.512995],[-83.400252,29.517242],[-83.405256,29.578319],[-83.39948,29.612956],[-83.414701,29.670536],[-83.436259,29.677389],[-83.455356,29.676444],[-83.483143,29.690478],[-83.483567,29.698542],[-83.493728,29.708388],[-83.537645,29.72306],[-83.566018,29.761434],[-83.584716,29.77608],[-83.585899,29.811754],[-83.595493,29.827984],[-83.618568,29.842336],[-83.63798,29.886073],[-83.679219,29.918513],[-83.788729,29.976982],[-83.82869,29.983187],[-83.845427,29.998068],[-83.93151,30.039068],[-83.931879,30.044175],[-83.991607,30.08392],[-84.000716,30.096209],[-84.024274,30.103271],[-84.06299,30.101378],[-84.083057,30.092286],[-84.10273,30.093611],[-84.11384,30.085478],[-84.124889,30.090601],[-84.167881,30.071422],[-84.179149,30.073187],[-84.19853,30.087937],[-84.237014,30.08556],[-84.247491,30.10114],[-84.256439,30.103791],[-84.272511,30.092358],[-84.270792,30.068094],[-84.277168,30.060263],[-84.297836,30.057451],[-84.315344,30.069492],[-84.358923,30.058224],[-84.365882,30.024588],[-84.361962,29.987739],[-84.3477,29.984123],[-84.343041,29.9751],[-84.333746,29.923721],[-84.343389,29.899539],[-84.349066,29.896812],[-84.378937,29.893112],[-84.423834,29.902996],[-84.443652,29.913785],[-84.451705,29.929085],[-84.494562,29.913957],[-84.511996,29.916574],[-84.535873,29.910092],[-84.603303,29.876117],[-84.647958,29.847104],[-84.65645,29.834277],[-84.692053,29.829059],[-84.755595,29.78854],[-84.868271,29.742454],[-84.881777,29.733882],[-84.888031,29.722406],[-84.901781,29.735723],[-84.877111,29.772888],[-84.893992,29.785176],[-84.90413,29.786279],[-84.91511,29.783303],[-84.93837,29.750211],[-84.964007,29.742422],[-84.968841,29.72708],[-84.993264,29.714961],[-85.037212,29.711074],[-85.072123,29.719027],[-85.121473,29.715854],[-85.177284,29.700193],[-85.22745,29.693633],[-85.259719,29.681296],[-85.319215,29.681494],[-85.343619,29.672004],[-85.347711,29.66719],[-85.344768,29.654793],[-85.380303,29.698485],[-85.397871,29.740498],[-85.413983,29.799865],[-85.417971,29.828855],[-85.413575,29.85294],[-85.405815,29.865817],[-85.392469,29.870914],[-85.405011,29.830151],[-85.405907,29.80193],[-85.37796,29.709621],[-85.353885,29.684765],[-85.317661,29.691286],[-85.31139,29.697557],[-85.302591,29.808094],[-85.31142,29.814373],[-85.317464,29.838894],[-85.336654,29.849295],[-85.363731,29.898915],[-85.405052,29.938487],[-85.425956,29.949888],[-85.487764,29.961227],[-85.509148,29.971466],[-85.571907,30.02644],[-85.588242,30.055543],[-85.601178,30.056342],[-85.69681,30.09689],[-85.775405,30.15629],[-85.9226,30.238024],[-86.089963,30.303569],[-86.222561,30.343585],[-86.2987,30.363049],[-86.412076,30.380346],[-86.50615,30.3823],[-86.632953,30.396299],[-86.750906,30.391881],[-86.909679,30.372423],[-87.206254,30.320943],[-87.267827,30.31548],[-87.295422,30.323503],[-87.518324,30.280435],[-87.452378,30.300201],[-87.450078,30.3111],[-87.50278,30.307301],[-87.504701,30.324039],[-87.49998,30.328957],[-87.459978,30.3363],[-87.452278,30.344099],[-87.451878,30.364999],[-87.438678,30.380798],[-87.440678,30.391498],[-87.429578,30.406498],[-87.403477,30.410198],[-87.366591,30.436648],[-87.370768,30.446865],[-87.399877,30.450997],[-87.425078,30.465596],[-87.434678,30.479196],[-87.431178,30.495795],[-87.447702,30.510458],[-87.446586,30.527068],[-87.43544,30.54914],[-87.418647,30.561837],[-87.406558,30.599928],[-87.397308,30.608728],[-87.393588,30.63088],[-87.397262,30.654351],[-87.406958,30.675165],[-87.449362,30.698913],[-87.466338,30.700835],[-87.481225,30.716508],[-87.502317,30.72159],[-87.511729,30.733535],[-87.532607,30.743489],[-87.545044,30.778666],[-87.581869,30.812403],[-87.600486,30.820627],[-87.605776,30.831304],[-87.615923,30.834693],[-87.634938,30.865886],[-87.592055,30.951492],[-87.589187,30.964464],[-87.599172,30.995722],[-87.571281,30.99787],[-85.998643,30.99287],[-85.002368,31.000682],[-85.004026,30.973468],[-84.980127,30.961286],[-84.983627,30.936986],[-84.971026,30.928187],[-84.936828,30.884683],[-84.935256,30.854328],[-84.928335,30.844263],[-84.936042,30.820671],[-84.928323,30.79309],[-84.918023,30.77809],[-84.920123,30.76599],[-84.914322,30.753591],[-84.896122,30.750591],[-84.864693,30.711542],[-83.309455,30.634417]]]]},\"properties\":{\"name\":\"Florida\",\"nation\":\"USA \"}}]}","volume":"32","issue":"10","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"599d42c0e4b0b58926803048","contributors":{"authors":[{"text":"Haase, Catherine G. 0000-0002-7682-0625 chaase@usgs.gov","orcid":"https://orcid.org/0000-0002-7682-0625","contributorId":195794,"corporation":false,"usgs":true,"family":"Haase","given":"Catherine","email":"chaase@usgs.gov","middleInitial":"G.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":708210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Robert J. 0000-0003-1717-5707","orcid":"https://orcid.org/0000-0003-1717-5707","contributorId":195795,"corporation":false,"usgs":false,"family":"Fletcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":173308,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":708209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":708212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":708213,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190270,"text":"70190270 - 2017 - Characterization and origin of brines from the Bakken-Three Forks petroleum system in the Williston Basin, USA","interactions":[],"lastModifiedDate":"2017-08-22T16:34:22","indexId":"70190270","displayToPublicDate":"2017-08-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Characterization and origin of brines from the Bakken-Three Forks petroleum system in the Williston Basin, USA","docAbstract":"Brine (also referred to as ‘produced water’) samples were collected from 28 wells producing oil from the Late\nDevonian-Early Mississippian Bakken and Three Forks Formations in the Williston Basin of eastern Montana and\nwestern North Dakota. The samples were analyzed for major ions, trace metals, stable isotopes, and strontium isotopes.\nThe brines in these formations are highly saline with total dissolved solids averaging 308 g/L, almost ten\ntimes the salinity of modern seawater. Relative to modern seawater, the brines are enriched approximately 10 to 20\ntimes in [Na], [K], [Cl], and [Br]. Greater enrichments of 100 to 400 times in [Li], [B], [Sr] and [Rb], and 2,000\nto 10,000 times in [Cs] and [Ba] are probably due to water-rock interaction (WRI). WRI is further indicated by\n87Sr/86Sr values typically between 0.710 and 0.711—considerably larger than marine values of 0.7081 to 0.7083\nduring this depositional interval. Bakken Formation sediments were deposited in a stratified water column with salinity\nincreasing with depth. The deeper water may have been saturated in calcium carbonate and possibly gypsum,\nbut there is no evidence that halite saturation had been attained. Therefore, brines may have been introduced into\nthe Bakken Formation from the underlying Devonian Prairie Formation or from the overlying Charles Formation\nbefore these brines were diluted or replaced by meteoric water. Alternatively, salinity of the native pore water was\nincreased by membrane filtration driven by overpressuring within the Bakken Formation.","language":"English","publisher":"The Rocky Mountain Association of Geologists","usgsCitation":"Peterman, Z.E., Thamke, J., Futa, K., and Oliver, T.A., 2017, Characterization and origin of brines from the Bakken-Three Forks petroleum system in the Williston Basin, USA: Mountain Geologist, v. 54, no. 3, p. 203-221.","productDescription":"19 p.","startPage":"203","endPage":"221","ipdsId":"IP-086351","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":345034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599d42c0e4b0b58926803046","contributors":{"authors":[{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":167699,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell","email":"peterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":708227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":708228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Futa, Kiyoto 0000-0001-8649-7510 kfuta@usgs.gov","orcid":"https://orcid.org/0000-0001-8649-7510","contributorId":619,"corporation":false,"usgs":true,"family":"Futa","given":"Kiyoto","email":"kfuta@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":708229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Thomas A. 0000-0002-6455-1114 taoliver@usgs.gov","orcid":"https://orcid.org/0000-0002-6455-1114","contributorId":2957,"corporation":false,"usgs":true,"family":"Oliver","given":"Thomas","email":"taoliver@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":708230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}