{"pageNumber":"429","pageRowStart":"10700","pageSize":"25","recordCount":46638,"records":[{"id":70171087,"text":"70171087 - 2016 - Avian malaria in a boreal resident species: long-term temporal variability, and increased prevalence in birds with avian keratin disorder","interactions":[],"lastModifiedDate":"2016-05-19T09:59:24","indexId":"70171087","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Avian malaria in a boreal resident species: long-term temporal variability, and increased prevalence in birds with avian keratin disorder","docAbstract":"<p><span>The prevalence of vector-borne parasitic diseases is widely influenced by biological and ecological factors. Environmental conditions such as temperature and precipitation can have a marked effect on haemosporidian parasites (</span><i>Plasmodium</i><span>&nbsp;spp.) that cause malaria and those that cause other malaria-like diseases in birds. However, there have been few long-term studies monitoring haemosporidian infections in birds in northern latitudes, where weather conditions can be highly variable and the effects of climate change are becoming more pronounced. We used molecular methods to screen more than 2,000 blood samples collected from black-capped chickadees (</span><i>Poecile atricapillus</i><span>), a resident passerine bird. Samples were collected over a 10&nbsp;year period, mostly during the non-breeding season, at seven sites in Alaska, USA. We tested for associations between&nbsp;</span><i>Plasmodium</i><span>&nbsp;prevalence and local environmental conditions including temperature, precipitation, site, year and season. We also evaluated the relationship between parasite prevalence and individual host factors of age, sex and presence or absence of avian keratin disorder. This disease, which causes accelerated keratin growth in the beak, provided a natural study system in which to test the interaction between disease state and malaria prevalence. Prevalence of&nbsp;</span><i>Plasmodium</i><span>&nbsp;infection varied by year, site, age and individual disease status but there was no support for an effect of sex or seasonal period. Significantly, birds with avian keratin disorder were 2.6&nbsp;times more likely to be infected by&nbsp;</span><i>Plasmodium</i><span>&nbsp;than birds without the disorder. Interannual variation in the prevalence of&nbsp;</span><i>Plasmodium</i><span>&nbsp;infection at different sites was positively correlated with summer temperatures at the local but not statewide scale. Sequence analysis of the parasite cytochrome&nbsp;</span><i>b</i><span>&nbsp;gene revealed a single&nbsp;</span><i>Plasmodium</i><span>spp. lineage, P43. Our results demonstrate associations between prevalence of avian malaria and a variety of biological and ecological factors. These results also provide important baseline data that will be informative for predicting future changes in</span><i>Plasmodium</i><span>&nbsp;prevalence in the subarctic.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijpara.2015.12.008","usgsCitation":"Wilkinson, L.C., Handel, C.M., Van Hemert, C.R., Loiseau, C., and Sehgal, R.N., 2016, Avian malaria in a boreal resident species: long-term temporal variability, and increased prevalence in birds with avian keratin disorder: International Journal for Parasitology, v. 16, no. 4, p. 281-290, https://doi.org/10.1016/j.ijpara.2015.12.008.","productDescription":"10 p.","startPage":"281","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067095","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":629803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":629804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loiseau, Claire","contributorId":169501,"corporation":false,"usgs":false,"family":"Loiseau","given":"Claire","email":"","affiliations":[],"preferred":false,"id":629822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sehgal, Ravinder N. M.","contributorId":140276,"corporation":false,"usgs":false,"family":"Sehgal","given":"Ravinder","email":"","middleInitial":"N. M.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":629823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179445,"text":"70179445 - 2016 - Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity","interactions":[],"lastModifiedDate":"2017-01-03T11:21:55","indexId":"70179445","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity","docAbstract":"<p><span>The imminent demise of montane species is a recurrent theme in the climate change literature, particularly for aquatic species that are constrained to networks and elevational rather than latitudinal retreat as temperatures increase. Predictions of widespread species losses, however, have yet to be fulfilled despite decades of climate change, suggesting that trends are much weaker than anticipated and may be too subtle for detection given the widespread use of sparse water temperature datasets or imprecise surrogates like elevation and air temperature. Through application of large water-temperature databases evaluated for sensitivity to historical air-temperature variability and computationally interpolated to provide high-resolution thermal habitat information for a 222,000-km network, we estimate a less dire thermal plight for cold-water species within mountains of the northwestern United States. Stream warming rates and climate velocities were both relatively low for 1968–2011 (average warming rate = 0.101 °C/decade; median velocity = 1.07 km/decade) when air temperatures warmed at 0.21 °C/decade. Many cold-water vertebrate species occurred in a subset of the network characterized by low climate velocities, and three native species of conservation concern occurred in extremely cold, slow velocity environments (0.33–0.48 km/decade). Examination of aggressive warming scenarios indicated that although network climate velocities could increase, they remain low in headwaters because of strong local temperature gradients associated with topographic controls. Better information about changing hydrology and disturbance regimes is needed to complement these results, but rather than being climatic cul-de-sacs, many mountain streams appear poised to be redoubts for cold-water biodiversity this century.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1522429113","usgsCitation":"Isaak, D.J., Young, M.K., Luce, C.H., Hostetler, S.W., Wenger, S., Peterson, E.E., Ver Hoef, J., Groce, M.C., Horan, D.L., and Nagel, D.E., 2016, Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 16, p. 4374-4379, https://doi.org/10.1073/pnas.1522429113.","productDescription":"6 p.","startPage":"4374","endPage":"4379","ipdsId":"IP-072844","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471098,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4843441","text":"External Repository"},{"id":332732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-04","publicationStatus":"PW","scienceBaseUri":"586cc697e4b0f5ce109fa957","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Michael K.","contributorId":177836,"corporation":false,"usgs":false,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":657246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luce, Charles H.","contributorId":177837,"corporation":false,"usgs":false,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":657247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":657244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":657248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Erin E.","contributorId":177839,"corporation":false,"usgs":false,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ver Hoef, Jay","contributorId":177840,"corporation":false,"usgs":false,"family":"Ver Hoef","given":"Jay","affiliations":[],"preferred":false,"id":657250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groce, Matthew C.","contributorId":177841,"corporation":false,"usgs":false,"family":"Groce","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":657251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horan, Dona L.","contributorId":36672,"corporation":false,"usgs":true,"family":"Horan","given":"Dona","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":657252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nagel, David E.","contributorId":86887,"corporation":false,"usgs":true,"family":"Nagel","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657253,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70169125,"text":"70169125 - 2016 - Growth, survival, longevity, and population size of the Big Mouth Cave salamander (<i>Gyrinophilus palleucus necturoides</i>) from the type locality in Grundy County, Tennessee, USA","interactions":[],"lastModifiedDate":"2016-08-17T10:12:12","indexId":"70169125","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Growth, survival, longevity, and population size of the Big Mouth Cave salamander (<i>Gyrinophilus palleucus necturoides</i>) from the type locality in Grundy County, Tennessee, USA","docAbstract":"<p><span>Salamander species that live entirely in subterranean habitats have evolved adaptations that allow them to cope with perpetual darkness and limited energy resources. We conducted a 26-month mark&ndash;recapture study to better understand the individual growth and demography of a population of the Big Mouth Cave Salamander (</span><i>Gyrinophilus palleucus necturoides</i><span>). We employed a growth model to estimate growth rates, age at sexual maturity, and longevity, and an open population model to estimate population size, density, detectability, and survival rates. Furthermore, we examined cover use and evidence of potential predation. Individuals probably reach sexual maturity in 3&ndash;5 years and live at least nine years. Survival rates were generally high (&gt;75%) but declined during the study. More than 30% of captured salamanders had regenerating tails or tail damage, which presumably represent predation attempts by conspecifics or crayfishes. Most salamanders (&gt;90%) were found under cover (e.g., rocks, trash, decaying plant material). Based on 11 surveys during the study, population size estimates ranged from 21 to 104 individuals in the ca. 710 m</span><sup>2</sup><span>&nbsp;study area. Previous surveys indicated that this population experienced a significant decline from the early 1970s through the 1990s, perhaps related to silvicultural and agricultural practices. However, our data suggest that this population has either recovered or stabilized during the past 20 years. Differences in relative abundance between early surveys and our survey could be associated with differences in survey methods or sampling conditions rather than an increase in population size. Regardless, our study demonstrates that this population is larger than previously thought and is in no immediate risk of extirpation, though it does appear to exhibit higher rates of predation than expected for a species believed to be an apex predator of subterranean food webs.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/OT-14-197","usgsCitation":"Niemiller, M.L., Glorioso, B.M., Fenolio, D.B., Reynolds, R.G., Taylor, S.J., and Miller, B.T., 2016, Growth, survival, longevity, and population size of the Big Mouth Cave salamander (<i>Gyrinophilus palleucus necturoides</i>) from the type locality in Grundy County, Tennessee, USA: Copeia, v. 104, no. 1, p. 35-41, https://doi.org/10.1643/OT-14-197.","productDescription":"7 p.","startPage":"35","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060758","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","county":"Grundy County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-85.601,35.5316],[-85.5768,35.5129],[-85.5543,35.4983],[-85.5458,35.4942],[-85.5368,35.4873],[-85.5415,35.4615],[-85.536,35.4315],[-85.5203,35.4219],[-85.5118,35.4228],[-85.5131,35.4078],[-85.4854,35.4063],[-85.4911,35.3996],[-85.4945,35.3955],[-85.4957,35.3937],[-85.4946,35.3869],[-85.489,35.3837],[-85.4952,35.3805],[-85.5003,35.3737],[-85.5037,35.3687],[-85.5032,35.3656],[-85.5072,35.3592],[-85.5145,35.3538],[-85.5174,35.3529],[-85.5264,35.3484],[-85.5281,35.3439],[-85.536,35.3444],[-85.5434,35.3412],[-85.5587,35.3195],[-85.6444,35.3021],[-85.6506,35.3039],[-85.6557,35.3062],[-85.6602,35.303],[-85.6636,35.3012],[-85.6692,35.3008],[-85.6738,35.2981],[-85.6743,35.2931],[-85.6868,35.2886],[-85.6952,35.2895],[-85.7008,35.2913],[-85.7059,35.2918],[-85.7093,35.2891],[-85.6937,35.2396],[-85.74,35.2152],[-85.7715,35.2184],[-85.7855,35.223],[-85.8221,35.2426],[-85.8401,35.2376],[-85.8581,35.2308],[-85.8728,35.2236],[-85.8896,35.2517],[-85.907,35.2753],[-85.9138,35.289],[-85.9076,35.2976],[-85.9087,35.3021],[-85.9076,35.3067],[-85.9047,35.3103],[-85.9042,35.3158],[-85.9008,35.3176],[-85.9014,35.3221],[-85.9047,35.3235],[-85.903,35.3257],[-85.9025,35.3275],[-85.9025,35.3316],[-85.881,35.3489],[-85.8804,35.3607],[-85.8748,35.3688],[-85.8731,35.3711],[-85.8697,35.3806],[-85.886,35.382],[-85.8843,35.3929],[-85.8888,35.4419],[-85.8853,35.4905],[-85.8842,35.4918],[-85.8791,35.4918],[-85.8763,35.5073],[-85.883,35.5077],[-85.8796,35.5127],[-85.8825,35.5168],[-85.8768,35.524],[-85.8644,35.5222],[-85.8576,35.5204],[-85.8327,35.5154],[-85.8175,35.5135],[-85.7542,35.5243],[-85.6971,35.5292],[-85.601,35.5316]]]},\"properties\":{\"name\":\"Grundy\",\"state\":\"TN\"}}]}","volume":"104","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb0e4b07657d1a90ccf","contributors":{"authors":[{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":623109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":623108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenolio, Dante B.","contributorId":167680,"corporation":false,"usgs":false,"family":"Fenolio","given":"Dante","email":"","middleInitial":"B.","affiliations":[{"id":24805,"text":"Department of Conservation and Research, San Antonio Zoo","active":true,"usgs":false}],"preferred":false,"id":623110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, R. Graham","contributorId":167681,"corporation":false,"usgs":false,"family":"Reynolds","given":"R.","email":"","middleInitial":"Graham","affiliations":[{"id":24806,"text":"Joint Postdoctoral Fellow, Harvard University and the University of Massachusetts Boston","active":true,"usgs":false}],"preferred":false,"id":623111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Steven J.","contributorId":167682,"corporation":false,"usgs":false,"family":"Taylor","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":623112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Brian T.","contributorId":167683,"corporation":false,"usgs":false,"family":"Miller","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":24807,"text":"Department of Biology, Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":623113,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179162,"text":"70179162 - 2016 - 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","interactions":[],"lastModifiedDate":"2016-12-20T12:55:05","indexId":"70179162","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/EQD/NRR—2016/1200","title":"2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","docAbstract":"<p>The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports a considerable amount of economic activity within park gateway communities. This economic effects analysis measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income.</p><p>In 2015, the National Park System received over 307.2 million recreation visits. NPS visitors spent \\$16.9 billion in local gateway regions (defined as communities within 60 miles of a park). The contribution of this spending to the national economy was 295 thousand jobs, \\$11.1 billion in labor income, \\$18.4 billion in value added, and \\$32.0 billion in economic output. The lodging sector saw the highest direct contributions with \\$5.2 billion in economic output directly contributed to local gateway economies nationally. The sector with the next greatest direct contributions was the restaurants and bar sector, with \\$3.4 billion in economic output directly contributed to local gateway economies nationally.</p><p>Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. This interactive tool is available at http://go.nps.gov/vse.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cullinane Thomas, C., and Koontz, L., 2016, 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation: Natural Resource Report NPS/NRSS/EQD/NRR—2016/1200, v, 53 p.","productDescription":"v, 53 p.","numberOfPages":"62","ipdsId":"IP-074337","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":332338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332309,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/subjects/socialscience/vse.htm"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5eb","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine M. 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":5281,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine M.","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":656250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":656251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177888,"text":"70177888 - 2016 - Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL","interactions":[],"lastModifiedDate":"2016-10-26T14:27:33","indexId":"70177888","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL","docAbstract":"<p><span>During the spring and fall of 2001 and the spring of 2002 a study was conducted to evaluate the health of the largescale stoneroller (</span><i class=\"EmphasisTypeItalic \">Campostoma oligolepis)</i><span> populations in streams along an urban land-use gradient. Sites were selected from a pool of naturally similar sub-basins (eco-region, basin size, and geology) of the Mobile River basin (MRB), using an index of urban intensity derived from infrastructure, socioeconomic, and land-use data. This urban land-use gradient (ULUG) is a multimetric indicator of urban intensity, ranging from 0 (background) to 100 (intense urbanization). </span><i class=\"EmphasisTypeItalic \">Campostoma</i><span> sp. have been used previously as indicators of stream health and are common species found in all sites within the MRB. Endpoints used to determine the effects of urban land-use on the largescale stoneroller included total glutathione, histology, hepatic apoptosis, condition factor and external lesions. Liver glutathione levels were positively associated with increasing urban land-use (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.94). Histopathological examination determined that some abnormalities and lesions were correlated with the ULUG and generally increased in prevalence or severity with increasing urbanization. Liver macrophage aggregates were positively correlated to the ULUG. The occurrence of nucleosomal ladders (indicating apoptotic cell death) did not correspond with urban intensity in a linear fashion. Apoptosis, as well as prevalence and severity of a myxozoan parasite, appeared to have a hormetic dose–response relationship. The majority of the biomarkers suggested fish health was compromised in areas where the ULUG&nbsp;≥&nbsp;36.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-016-1620-3","usgsCitation":"Iwanowicz, D.D., Black, M., Blazer, V., Zappia, H., and Bryant, W., 2016, Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL: Ecotoxicology, v. 25, no. 3, p. 608-621, https://doi.org/10.1007/s10646-016-1620-3.","productDescription":"14 p.","startPage":"608","endPage":"621","ipdsId":"IP-052558","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":330425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile River Basin","volume":"25","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-18","publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a75","contributors":{"authors":[{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":652031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, M.C.","contributorId":89091,"corporation":false,"usgs":true,"family":"Black","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":652032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":652033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zappia, H.","contributorId":94474,"corporation":false,"usgs":true,"family":"Zappia","given":"H.","affiliations":[],"preferred":false,"id":652034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryant, Wade L. Jr. wbbryant@usgs.gov","contributorId":1777,"corporation":false,"usgs":true,"family":"Bryant","given":"Wade L.","suffix":"Jr.","email":"wbbryant@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":652035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70160859,"text":"70160859 - 2016 - Seismic site characterization of an urban dedimentary basin, Livermore Valley, California:  Site tesponse, basin-edge-induced surface waves, and 3D simulations","interactions":[],"lastModifiedDate":"2016-06-29T11:05:08","indexId":"70160859","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic site characterization of an urban dedimentary basin, Livermore Valley, California:  Site tesponse, basin-edge-induced surface waves, and 3D simulations","docAbstract":"<p><span>Thirty‐two accelerometers were deployed in the Livermore Valley, California, for approximately one year to study sedimentary basin effects. Many local and near‐regional earthquakes were recorded, including the 24 August 2014&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;6.0 Napa, California, earthquake. The resulting ground‐motion data set is used to quantify the seismic response of the Livermore basin, a major structural depression in the California Coast Range Province bounded by active faults. Site response is calculated by two methods: the reference‐site spectral ratio method and a source‐site spectral inversion method. Longer‐period (&ge;1&thinsp;&thinsp;s) amplification factors follow the same general pattern as Bouguer gravity anomaly contours. Site response spectra are inverted for shallow shear‐wave velocity profiles, which are consistent with independent information. Frequency&ndash;wavenumber analysis is used to analyze plane‐wave propagation across the Livermore Valley and to identify basin‐edge‐induced surface waves with back azimuths different from the source back azimuth. Finite‐element simulations in a 3D velocity model of the region illustrate the generation of basin‐edge‐induced surface waves and point out strips of elevated ground velocities along the margins of the basin.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150289","usgsCitation":"Hartzell, S.H., Leeds, A.L., Ramirez-Guzman, L., Allen, J.P., and Schmitt, R.G., 2016, Seismic site characterization of an urban dedimentary basin, Livermore Valley, California:  Site tesponse, basin-edge-induced surface waves, and 3D simulations: Bulletin of the Seismological Society of America, v. 103, no. 2, p. 609-631, https://doi.org/10.1785/0120150289.","productDescription":"23 p.","startPage":"609","endPage":"631","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071579","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-06","publicationStatus":"PW","scienceBaseUri":"5774f2c6e4b07dd077c6aa3f","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":151026,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":584073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, James P. jallen@usgs.gov","contributorId":4797,"corporation":false,"usgs":true,"family":"Allen","given":"James","email":"jallen@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584075,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162467,"text":"70162467 - 2016 - The Chief Joseph Hatchery Program 2013 Annual Report","interactions":[],"lastModifiedDate":"2017-12-12T12:49:35","indexId":"70162467","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Chief Joseph Hatchery Program 2013 Annual Report","docAbstract":"<p>The Chief Joseph Hatchery is the fourth hatchery obligated under the Grand Coulee Dam/Dry Falls project, originating in the 1940s. Leavenworth, Entiat, and Winthrop National Fish Hatcheries were built and operated as mitigation for salmon blockage at Grand Coulee Dam, but the fourth hatchery was not built, and the obligation was nearly forgotten. After the Colville Tribes successfully collaborated with the United States to resurrect the project, planning of the hatchery began in 2001 and construction was completed in 2013. The monitoring program began in 2012 and adult Chinook Salmon were brought on station for the first time in June 2013. BPA is the primary funding source for CJH, and the Mid-Columbia PUDs (Douglas, Grant and Chelan County) have entered into cost-share agreements with the tribes and BPA in order to meet some of their mitigation obligations. </p><p>The CJH production level was set at 60% in 2013 in order to train staff and test hatchery facility systems during the first year of operation. Leavenworth National Fish Hatchery (LNFH) provided 422 Spring Chinook broodstock in June, 2013; representing the official beginning of CJH operations. In July and August the CCT used a purse seine vessel to collect 814 summer/fall Chinook as broodstock that were a continuation and expansion of the previous Similkameen Pond program. In-hatchery survival for most life stages exceeded survival targets and, as of April 2014, the program was on track to exceed the 60% production target for its start-up year. </p><p>The CJH monitoring project collected field data to determine Chinook population status, trend, and hatchery effectiveness centered on five major activities; 1) rotary screw traps (juvenile outmigration, natural-origin smolt PIT tagging) 2) beach seine (naturalorigin smolt PIT tagging) 3) lower Okanogan adult fish pilot weir (adult escapement, proportion of hatchery-origin spawners [pHOS], broodstock) 4) spawning ground surveys (redd and carcass surveys)(viable salmonid population [VSP] parameters) 5) eDNA collection (VSP parameter—distribution/spatial structure). </p><p>Adult summer/fall Chinook spawning escapement in 2013 was estimated to be 8,193, with more than 6,227 natural-origin spawners, which exceeded the recent five year and long term averages. The values for pHOS (0.24) and proportion of natural influence (PNI) (0.79) in 2013 exceeded the objectives (0.67), but the five year averages fell short of the goals (0.39 and 0.62, respectively). </p><p>An Annual Program Review (APR) was held in March, 2014 to share hatchery production and monitoring data, review the salmon forecast for the upcoming year, and develop action plans for the hatchery, selective harvest, and monitoring projects. Based on a strong pre-season forecast of 67,500 Upper Columbia summer/fall Chinook, the plan for 2014 is to operate the hatchery at full program levels of 2 million summer/fall Chinook and 900,000 spring Chinook. To maximize PNI, broodstock for the integrated program should Chief Joseph Hatchery Program 2013 Annual Report 3 be 100% natural-origin broodstock (NOB) and CCT should plan to harvest their full allocation with the selective harvest program removing as many adult hatchery Chinook as possible with the purse seine, the weir, and at the hatchery ladder. </p>","language":"English","publisher":"Colville Confederated Tribes Fish and Wildlife Program","usgsCitation":"Baldwin, C., Pearl, A., Laramie, M., Rohrback, J., Phillips, P., and Wolf, K., 2016, The Chief Joseph Hatchery Program 2013 Annual Report, 148 p.","productDescription":"148 p.","ipdsId":"IP-057557","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":340197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340196,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cct-fnw.com/reports/"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0e9de4b006455f2d61be","contributors":{"authors":[{"text":"Baldwin, Casey","contributorId":178155,"corporation":false,"usgs":false,"family":"Baldwin","given":"Casey","affiliations":[],"preferred":false,"id":692632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Andrea","contributorId":178154,"corporation":false,"usgs":false,"family":"Pearl","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laramie, Matthew 0000-0001-7820-2583 mlaramie@usgs.gov","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":152532,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":589651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohrback, John","contributorId":178156,"corporation":false,"usgs":false,"family":"Rohrback","given":"John","email":"","affiliations":[],"preferred":false,"id":692634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Pat","contributorId":178157,"corporation":false,"usgs":false,"family":"Phillips","given":"Pat","email":"","affiliations":[],"preferred":false,"id":692635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolf, Keith","contributorId":147874,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","affiliations":[],"preferred":false,"id":692636,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194315,"text":"70194315 - 2016 - Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals","interactions":[],"lastModifiedDate":"2017-11-22T11:36:42","indexId":"70194315","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals","docAbstract":"<p><span>There has been considerable emphasis on understanding isotopic discrimination for diet estimation in omnivores. However, discrimination may differ for carnivores, particularly species that consume lipid-rich diets. Here, we examined the potential implications of several factors when using stable isotopes to estimate the diets of bears, which can consume lipid-rich diets and, alternatively, fast for weeks to months. We conducted feeding trials with captive brown bears (</span><i>Ursus arctos</i><span>) and polar bears (</span><i>Ursus maritimus</i><span>). As dietary lipid content increased to ∼90%, we observed increasing differences between blood plasma and diets that had not been lipid extracted (∆</span><sup>13</sup><span>C</span><sub>tissue-bulk diet</sub><span>) and slightly decreasing differences between plasma δ</span><sup>13</sup><span>C and lipid-extracted diet. Plasma Δ</span><sup>15</sup><span>N</span><sub>tissue-bulk diet</sub><span><span>&nbsp;</span>increased with increasing protein content for the four polar bears in this study and data for other mammals from previous studies that were fed purely carnivorous diets. Four adult and four yearling brown bears that fasted 120 d had plasma δ</span><sup>15</sup><span>N values that changed by &lt;±2‰. Fasting bears exhibited no trend in plasma δ</span><sup>13</sup><span>C. Isotopic incorporation in red blood cells and whole blood was ≥6 mo in subadult and adult bears, which is considerably longer than previously measured in younger and smaller black bears (</span><i>Ursus americanus</i><span>). Our results suggest that short-term fasting in carnivores has minimal effects on δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N discrimination between predators and their prey but that dietary lipid content is an important factor directly affecting δ</span><sup>13</sup><span>C discrimination and indirectly affecting δ</span><sup>15</sup><span>N discrimination via the inverse relationship with dietary protein content.</span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/686490","usgsCitation":"Rode, K.D., Stricker, C.A., Erlenbach, J., Robbins, C.T., Cherry, S., Newsome, S.D., Cutting, A., Jensen, S., Stenhouse, G., Brooks, M., Hash, A., and Nicassio, N., 2016, Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals: Physiological and Biochemical Zoology, v. 89, no. 3, p. 182-197, https://doi.org/10.1086/686490.","productDescription":"16 p.","startPage":"182","endPage":"197","ipdsId":"IP-064971","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438622,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79W0CJ3","text":"USGS data release","linkHelpText":"Stable Isotope Data from Diets and Tissues of Captive Bears Fed Experimental Diets"},{"id":349267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd5ae4b06e28e9c24b97","contributors":{"authors":[{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":723249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":723250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, Seth","contributorId":200753,"corporation":false,"usgs":false,"family":"Cherry","given":"Seth","email":"","affiliations":[],"preferred":false,"id":723254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":723253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cutting, Amy","contributorId":200751,"corporation":false,"usgs":false,"family":"Cutting","given":"Amy","email":"","affiliations":[],"preferred":false,"id":723251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Shannon","contributorId":200752,"corporation":false,"usgs":false,"family":"Jensen","given":"Shannon","affiliations":[],"preferred":false,"id":723252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stenhouse, Gordon","contributorId":167054,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Gordon","email":"","affiliations":[{"id":24604,"text":"Foothills Research Institute","active":true,"usgs":false}],"preferred":false,"id":723255,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Matt","contributorId":200754,"corporation":false,"usgs":false,"family":"Brooks","given":"Matt","affiliations":[],"preferred":false,"id":723256,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hash, Amy","contributorId":200755,"corporation":false,"usgs":false,"family":"Hash","given":"Amy","email":"","affiliations":[],"preferred":false,"id":723257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicassio, Nicole","contributorId":200756,"corporation":false,"usgs":false,"family":"Nicassio","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":723258,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70193182,"text":"70193182 - 2016 - NHDPlus as a geospatial framework for SPARROW modeling","interactions":[],"lastModifiedDate":"2018-03-15T10:26:24","indexId":"70193182","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1975,"text":"Impact Assessment Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"NHDPlus as a geospatial framework for SPARROW modeling","docAbstract":"Successful water-resource management requires thorough knowledge and understanding of the relations among water-quality contaminate sources and the factors that affect the transport throughout a hydrologic system. Surface-water modeling is a valuable tool that can be applied to help advance and achieve the understanding of these dynamic relations. Spatially Referenced Regressions on Watershed Attributes (SPARROW) is one such model that uses nonlinear statistical methods to define conceptual and spatial relations among quantities of contaminant sources, monitored contaminant load, aquatic transport processes. NHDPlus Version 2 (V2) is a digital representation of a hydrologic network of streams and associated catchments. The dataset provides the fundamental spatial framework for SPARROW modeling.","language":"English","publisher":"American Water Resources Association","usgsCitation":"Brakebill, J.W., and Schwarz, G., 2016, NHDPlus as a geospatial framework for SPARROW modeling: Impact Assessment Bulletin, v. 18, no. 3.","ipdsId":"IP-073650","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":348610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347782,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"18","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ea50e4b09af898c8cc73","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":718137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193717,"text":"70193717 - 2016 - Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography","interactions":[],"lastModifiedDate":"2017-11-05T17:35:45","indexId":"70193717","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","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":"Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography","docAbstract":"<p>The eruption cycle of a volcano is controlled in part by the upward migration of magma. The characteristics of the magma flux produce a deformation signature at the Earth's surface. Inverse analyses use geodetic data to estimate strategic controlling parameters that describe the position and pressurization of a magma chamber at depth. The specific distribution of material properties controls how observed surface deformation translates to source parameter estimates. Seismic tomography models describe the spatial distributions of material properties that are necessary for accurate models of volcano deformation. This study investigates how uncertainties in seismic tomography models propagate into variations in the estimates of volcano deformation source parameters inverted from geodetic data. We conduct finite element model-based nonlinear inverse analyses of interferometric synthetic aperture radar (InSAR) data for Okmok volcano, Alaska, as an example. We then analyze the estimated parameters and their uncertainties to characterize the magma chamber. Analyses are performed separately for models simulating a pressurized chamber embedded in a homogeneous domain as well as for a domain having a heterogeneous distribution of material properties according to seismic tomography. The estimated depth of the source is sensitive to the distribution of material properties. The estimated depths for the homogeneous and heterogeneous domains are 2666 ± 42 and 3527 ± 56 m below mean sea level, respectively (99% confidence). A Monte Carlo analysis indicates that uncertainties of the seismic tomography cannot account for this discrepancy at the 99% confidence level. Accounting for the spatial distribution of elastic properties according to seismic tomography significantly improves the fit of the deformation model predictions and significantly influences estimates for parameters that describe the location of a pressurized magma chamber.</p>","language":"English","publisher":"AGU","doi":"10.1002/2015JB012656","usgsCitation":"Masterlark, T., Donovan, T., Feigl, K.L., Haney, M.M., Thurber, C.H., and Tung, S., 2016, Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography: Journal of Geophysical Research B: Solid Earth, v. 121, no. 4, p. 3002-3016, https://doi.org/10.1002/2015JB012656.","productDescription":"15 p.","startPage":"3002","endPage":"3016","ipdsId":"IP-070835","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012656","text":"Publisher Index Page"},{"id":348198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-15","publicationStatus":"PW","scienceBaseUri":"5a003152e4b0531197b5a754","contributors":{"authors":[{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Theodore","contributorId":199783,"corporation":false,"usgs":false,"family":"Donovan","given":"Theodore","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feigl, Kurt L.","contributorId":147758,"corporation":false,"usgs":false,"family":"Feigl","given":"Kurt","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":720038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":720035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":720039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tung, Sui","contributorId":199785,"corporation":false,"usgs":false,"family":"Tung","given":"Sui","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720040,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70177908,"text":"70177908 - 2016 - Effect of phytoremediation on concentrations of benzene, toluene, naphthalene, and dissolved oxygen in groundwater at a former manufactured gas plant site, Charleston, South Carolina, USA, 1998–2014","interactions":[],"lastModifiedDate":"2016-10-26T15:04:14","indexId":"70177908","displayToPublicDate":"2016-03-31T22:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Effect of phytoremediation on concentrations of benzene, toluene, naphthalene, and dissolved oxygen in groundwater at a former manufactured gas plant site, Charleston, South Carolina, USA, 1998–2014","docAbstract":"<p><span>Concentrations of benzene, toluene, naphthalene, and dissolved oxygen in groundwater at a former manufactured gas plant site near Charleston, South Carolina, USA, have been monitored since the installation of a phytoremediation system of hybrid poplar trees in 1998. Between 2000 and 2014, the concentrations of benzene, toluene, and naphthalene (BT&amp;N) in groundwater in the planted area have decreased. For example, in the monitoring well containing the highest concentrations of BT&amp;N, benzene concentrations decreased from 10,200&nbsp;&micro;g/L to less than 4000&nbsp;&micro;g/L, toluene concentrations decreased from 2420&nbsp;&micro;g/L to less than 20&nbsp;&micro;g/L, and naphthalene concentrations decreased from 6840&nbsp;&micro;g/L to less than 3000&nbsp;&micro;g/L. Concentrations of BT&amp;N in groundwater in all wells were observed to be lower during the summer months relative to the winter months of a particular year during the first few years after installing the phytoremediation system, most likely due to increased transpiration and contaminant uptake by the hybrid poplar trees during the warm summer months; this pathway of uptake by trees was confirmed by the detection of benzene, toluene, and naphthalene in trees during sampling events in 2002, and later in the study in 2012. These data suggest that the phytoremediation system affects the groundwater contaminants on a seasonal basis and, over multiple years, has resulted in a cumulative decrease in dissolved-phase contaminant concentrations in groundwater. The removal of dissolved organic contaminants from the aquifer has resulted in a lower demand on dissolved oxygen supplied by recharge and, as a result, the redox status of the groundwater has changed from anoxic to oxic conditions. This study provides much needed information for water managers and other scientists on the viability of the long-term effectiveness of phytoremediation in decreasing groundwater contaminants and increasing dissolved oxygen at sites contaminated by benzene, toluene, and naphthalene.</span></p>","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s12665-016-5408-9","usgsCitation":"Landmeyer, J., and Effinger, T.N., 2016, Effect of phytoremediation on concentrations of benzene, toluene, naphthalene, and dissolved oxygen in groundwater at a former manufactured gas plant site, Charleston, South Carolina, USA, 1998–2014: Environmental Earth Sciences, v. 75, 605; 13 p., https://doi.org/10.1007/s12665-016-5408-9.","productDescription":"605; 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070997","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":330430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Charleston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.92934584617615,\n              32.7883749103601\n            ],\n            [\n              -79.92934584617615,\n              32.791134828514295\n            ],\n            [\n              -79.92491483688354,\n              32.791134828514295\n            ],\n            [\n              -79.92491483688354,\n              32.7883749103601\n            ],\n            [\n              -79.92934584617615,\n              32.7883749103601\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a77","chorus":{"doi":"10.1007/s12665-016-5408-9","url":"http://dx.doi.org/10.1007/s12665-016-5408-9","publisher":"Springer Nature","authors":"Landmeyer James E., Effinger Thomas N.","journalName":"Environmental Earth Sciences","publicationDate":"3/31/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"3/31/2016"},"contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Effinger, Thomas N.","contributorId":176300,"corporation":false,"usgs":false,"family":"Effinger","given":"Thomas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":652110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169948,"text":"ofr20161056 - 2016 - Construction, calibration, and validation of the RBM10 water temperature model for the Trinity River, northern California","interactions":[],"lastModifiedDate":"2016-04-01T08:35:51","indexId":"ofr20161056","displayToPublicDate":"2016-03-31T17:00:00","publicationYear":"2016","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":"2016-1056","title":"Construction, calibration, and validation of the RBM10 water temperature model for the Trinity River, northern California","docAbstract":"<p class=\"p1\">We constructed a one-dimensional daily averaged water-temperature model to simulate Trinity River temperatures for 1980&ndash;2013. The purpose of this model is to assess effects of water-management actions on water temperature and to provide water temperature inputs for a salmon population dynamics model. Simulated meteorological data, observed streamflow data, and observed water temperatures were used as model inputs to simulate a continuous 34-year time series of historical daily mean water temperature at eight locations along 112.2 river miles from Lewiston Dam near Weaverville, California, downstream to the Klamath River confluence. To demonstrate the utility of the model to inform management actions, we simulated three management alternatives to assess the effects of bypass flow augmentation in a drought year, 1994, and compared those results to the simulated historical baseline, referred to as the &ldquo;No Action&rdquo; alternative scenario. Augmentation flows from the Lewiston Dam bypass consist of temperature-controlled releases capable of cooling downstream water temperatures in hot times of the year, which can reduce the probability of disease outbreaks in fish populations. Outputs from the Trinity River water-temperature model were then used as inputs to an existing water-temperature model of the Klamath River to evaluate the effect of augmentation flow releases on water temperatures in the lower Klamath River.&nbsp;</p>\n<p class=\"p1\">We structured the Trinity River water-temperature model in River Basin Model-10 (RBM10), which uses a simple equilibrium flow model, assuming discharge in each river segment on each day is transmitted downstream instantaneously. The model uses a heat-budget formulation to quantify heat flux at the air-water interface. Inputs for the heat budget are calculated from daily mean meteorological data, including net shortwave solar radiation, net longwave atmospheric radiation, air temperature, wind speed, vapor pressure, and a psychrometric constant needed to calculate the Bowen ratio. The modeling domain was divided into eight reaches ranging in length from 8.8 to 20.6 miles, which were calibrated and validated separately with observed water temperature data collected irregularly from 1980 to 2013. Root mean square errors of observed and simulated water temperatures for the eight reaches ranged from 0.25 to 1.12 degrees Celsius (&deg;C). Mean absolute errors ranged from 0.18 to 0.89 &deg;C. For model validation, a <i>k</i>-fold cross-validation technique was used. Validation root mean square error and mean absolute error for the eight reaches ranged from 0.24 to 1.11 &deg;C and from 0.18 to 0.89 &deg;C, respectively.</p>\n<p class=\"p1\">Augmentation scenarios were based on historical hydrological and meteorological data, combined with prescribed flow and temperature releases from Lewiston Dam provided by the Bureau of Reclamation. Water releases were scheduled to achieve targeted flows of 2,500, 2,800, and 3,200 cubic feet per second in the lower Klamath River from mid-August through late September, coinciding with the upstream migration of adult fall-run Chinook salmon (<i>Oncorhynchus tshawytscha</i>). Water temperatures simulated at river mile 5.7 on the Klamath River showed a 5 &deg;C decrease from the No Action historical baseline, which was near or greater than 23 &deg;C when augmentation began in mid-August. Thereafter, an approximate 1 &deg;C difference among augmentation scenarios emerged, with the decrease in water temperature commensurate to the level of augmentation. All augmentation scenarios simulated water temperatures equal to or less than 21 &deg;C from mid-August through late September. Water temperatures equal to or greater than 23 &deg;C are of particular interest because of a thermal threshold known to inhibit upstream migration of salmon. When temperatures exceed this approximate 23 &deg;C threshold, Chinook salmon are known to congregate in high densities in thermal refugias and show extended residence times, which can potentially trigger epizootic outbreaks such as of <i>Ichthyophthirius multifiliis </i>(&ldquo;Ich&rdquo;) and <i>Flavobacterium columnare </i>(&ldquo;Columnaris&rdquo;) that were the causative factors of the Klamath River fish kill in 2002. A model with the ability to simulate water temperatures in response to management actions at the basin scale is a valuable asset for water managers who must make decisions about how best to use limited water resources, which directly affect the state of fisheries in the Klamath Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161056","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Bureau of Reclamation","usgsCitation":"Jones, E.C., Perry, R.W., Risley, J.C., Som, N.A., and Hetrick, N.J., 2016, Construction, calibration, and validation of the RBM10 water temperature model for the Trinity River, northern California: U.S. Geological Survey Open-File Report 2016–1056, 46 p., https://dx.doi.org/10.3133/ofr20161056.","productDescription":"vi, 46 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070848","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1056/coverthb.jpg"},{"id":319697,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1056/ofr20161056.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1056"}],"country":"United States","state":"California","otherGeospatial":"Trinity River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.71566772460936,\n              41.19622318190575\n            ],\n            [\n              -123.70605468750001,\n              41.19622318190575\n            ],\n            [\n              -123.69918823242188,\n              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target=\"blank\">http://wfrc.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Results</li>\n<li>Discussion</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendix A. River Geometry, Time Series and Water Temperatures, and Prediction Error, Trinity River, Northern California</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-03-31","noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"56fe3c28e4b075ab2b2aa0a3","contributors":{"authors":[{"text":"Jones, Edward C.","contributorId":20603,"corporation":false,"usgs":true,"family":"Jones","given":"Edward C.","affiliations":[],"preferred":false,"id":625694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":625695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":625696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":625697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hetrick, Nicholas J.","contributorId":168367,"corporation":false,"usgs":false,"family":"Hetrick","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":625698,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70169977,"text":"70169977 - 2016 - Temporal and spatial patterns of wetland extent influence variability of surface water connectivity in the Prairie Pothole Region, United States","interactions":[],"lastModifiedDate":"2016-03-31T12:39:04","indexId":"70169977","displayToPublicDate":"2016-03-31T13:30:00","publicationYear":"2016","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":"Temporal and spatial patterns of wetland extent influence variability of surface water connectivity in the Prairie Pothole Region, United States","docAbstract":"<p>Context. Quantifying variability in landscape-scale surface water connectivity can help improve our understanding of the multiple effects of wetlands on downstream waterways. Objectives. We examined how wetland merging and the coalescence of wetlands with streams varied both spatially (among ecoregions) and interannually (from drought to deluge) across parts of the Prairie Pothole Region. Methods. Wetland extent was derived over a time series (1990-2011) using Landsat imagery. Changes in landscape-scale connectivity, generated by the physical coalescence of wetlands with other surface water features, were quantified by fusing static wetland and stream datasets with Landsat-derived wetland extent maps, and related to multiple wetness indices. The usage of Landsat allows for decadal-scale analysis, but limits the types of surface water connections that can be detected. Results. Wetland extent correlated positively with the merging of wetlands and wetlands with streams. Wetness conditions, as defined by drought indices and runoff, were positively correlated with wetland extent, but less consistently correlated with measures of surface water connectivity. The degree of wetland-wetland merging was found to depend less on total wetland area or density, and more on climate conditions, as well as the threshold for how wetland/upland was defined. In contrast, the merging of wetlands with streams was positively correlated with stream density, and inversely related to wetland density. Conclusions. Characterizing the degree of surface water connectivity within the Prairie Pothole Region in North America requires consideration of 1) climate-driven variation in wetness conditions and 2) within-region variation in wetland and stream spatial arrangements.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-015-0290-5","usgsCitation":"Vanderhoof, M.K., Alexander, L., and Todd, J., 2016, Temporal and spatial patterns of wetland extent influence variability of surface water connectivity in the Prairie Pothole Region, United States: Landscape Ecology, v. 31, no. 4, p. 805-824, https://doi.org/10.1007/s10980-015-0290-5.","productDescription":"20 p.","startPage":"805","endPage":"824","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069152","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471109,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-015-0290-5","text":"Publisher Index Page"},{"id":319678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, South Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.1005859375,\n              24.462150693715266\n            ],\n            [\n              -83.1005859375,\n              24.77177232822881\n            ],\n            [\n              -82.6171875,\n              24.77177232822881\n            ],\n            [\n              -82.6171875,\n              24.462150693715266\n            ],\n            [\n              -83.1005859375,\n              24.462150693715266\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.1513671875,\n              46.46813299215554\n            ],\n            [\n              -100.1513671875,\n              48.545705491847464\n            ],\n            [\n              -97.20703125,\n              48.545705491847464\n            ],\n            [\n              -97.20703125,\n              46.46813299215554\n            ],\n            [\n              -100.1513671875,\n              46.46813299215554\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.06396484375,\n              43.77109381775651\n            ],\n            [\n              -98.06396484375,\n              45.55252525134013\n            ],\n            [\n              -95.38330078125,\n              45.55252525134013\n            ],\n            [\n              -95.38330078125,\n              43.77109381775651\n            ],\n            [\n              -98.06396484375,\n              43.77109381775651\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-06","publicationStatus":"PW","scienceBaseUri":"56fe3c48e4b075ab2b2aa0d8","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":625787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":625788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Jason","contributorId":168396,"corporation":false,"usgs":false,"family":"Todd","given":"Jason","email":"","affiliations":[{"id":25279,"text":"U.S. EPA NCEA","active":true,"usgs":false}],"preferred":false,"id":625789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169967,"text":"70169967 - 2016 - Energetic costs of mange in wolves estimated from infrared thermography","interactions":[],"lastModifiedDate":"2016-08-04T15:37:38","indexId":"70169967","displayToPublicDate":"2016-03-31T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Energetic costs of mange in wolves estimated from infrared thermography","docAbstract":"<p><span>Parasites, by definition, extract energy from their hosts and thus affect trophic and food web dynamics even when the parasite may have limited effects on host population size. We studied the energetic costs of mange (</span><i>Sarcoptes scabiei</i><span>) in wolves (</span><i>Canis lupus</i><span>) using thermal cameras to estimate heat losses associated with compromised insulation during the winter. We combined the field data of known, naturally infected wolves with data set on captive wolves with shaved patches of fur as a positive control to simulate mange-induced hair loss. We predict that during the winter in Montana, more severe mange infection increases heat loss by around 5.2 to 12 MJ per night (1240 to 2850 kcal, or a 65% to 78% increase) for small and large wolves, respectively accounting for wind effects. To maintain body temperature would require a significant proportion of a healthy wolf's total daily energy demands (18-22 MJ/day). We also predict how these thermal costs may increase in colder climates by comparing our predictions in Bozeman, Montana to those from a place with lower ambient temperatures (Fairbanks, Alaska). Contrary to our expectations, the 14&deg;C differential between these regions was not as important as the potential differences in wind speed. These large increases in energetic demands can be mitigated by either increasing consumption rates or decreasing other energy demands. Data from GPS-collared wolves indicated that healthy wolves move, on average, 17 km per day, which was reduced by 1.5, 1.8 and 6.5 km for light, medium, and severe hair loss. In addition, the wolf with the most hair loss was less active at night and more active during the day, which is the converse of the movement patterns of healthy wolves. At the individual level mange infections create significant energy demands and altered behavioral patterns, this may have cascading effects on prey consumption rates, food web dynamics, predator-prey interactions, and scavenger communities.</span></p>","language":"English","publisher":"Wiley","doi":"10.1890/15-1346.1","usgsCitation":"Cross, P.C., Almberg, E., Haase, C.G., Hudson, P., Maloney, S.K., Metz, M., Munn, A.J., Nugent, P., Putzeys, O., Stahler, D.R., Stewart, A.C., and Smith, D.W., 2016, Energetic costs of mange in wolves estimated from infrared thermography: Ecology, v. 97, no. 8, p. 1938-1948, https://doi.org/10.1890/15-1346.1.","productDescription":"11 p.","startPage":"1938","endPage":"1948","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067138","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471110,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"text":"Publisher Index Page"},{"id":319675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.7474365234375,\n              44.66865287227321\n            ],\n            [\n              -111.7474365234375,\n              45.590978249451936\n            ],\n            [\n              -110.10498046875,\n              45.590978249451936\n            ],\n            [\n              -110.10498046875,\n              44.66865287227321\n            ],\n            [\n              -111.7474365234375,\n              44.66865287227321\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"97","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fe3c32e4b075ab2b2aa0b4","chorus":{"doi":"10.1890/15-1346.1","url":"http://dx.doi.org/10.1890/15-1346.1","publisher":"Wiley-Blackwell","authors":"Cross P. 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,{"id":70169968,"text":"70169968 - 2016 - DNA and dispersal models highlight constrained connectivity in a migratory marine megavertebrate","interactions":[],"lastModifiedDate":"2017-05-02T14:15:37","indexId":"70169968","displayToPublicDate":"2016-03-31T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"DNA and dispersal models highlight constrained connectivity in a migratory marine megavertebrate","docAbstract":"<p><span>Population structure and spatial distribution are fundamentally important fields within ecology, evolution, and conservation biology. To investigate pan-Atlantic connectivity of globally endangered green turtles (</span><i>Chelonia mydas</i><span>) from two National Parks in Florida, USA, we applied a multidisciplinary approach comparing genetic analysis and ocean circulation modeling. The Everglades (EP) is a juvenile feeding ground, whereas the Dry Tortugas (DT) is used for courtship, breeding, and feeding by adults and juveniles. We sequenced two mitochondrial segments from 138 turtles sampled there from 2006-2015, and simulated oceanic transport to estimate their origins. Genetic and ocean connectivity data revealed northwestern Atlantic rookeries as the major natal sources, while southern and eastern Atlantic contributions were negligible. However, specific rookery estimates differed between genetic and ocean transport models. The combined analyses suggest that post-hatchling drift via ocean currents poorly explains the distribution of neritic juveniles and adults, but juvenile natal homing and population history likely play important roles. DT and EP were genetically similar to feeding grounds along the southern US coast, but highly differentiated from most other Atlantic groups. Despite expanded mitogenomic analysis and correspondingly increased ability to detect genetic variation, no significant differentiation between DT and EP, or among years, sexes or stages was observed. This first genetic analysis of a North Atlantic green turtle courtship area provides rare data supporting local movements and male philopatry. The study highlights the applications of multidisciplinary approaches for ecological research and conservation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.02056","usgsCitation":"Naro-Maciel, E., Hart, K.M., Cruciata, R., and Putman, N.F., 2016, DNA and dispersal models highlight constrained connectivity in a migratory marine megavertebrate: Ecography, v. 40, no. 5, p. 586-597, https://doi.org/10.1111/ecog.02056.","productDescription":"12 p.","startPage":"586","endPage":"597","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068508","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471111,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ecog.02056","text":"External Repository"},{"id":319674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas Park, Everglades Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.1005859375,\n              24.462150693715266\n            ],\n            [\n              -83.1005859375,\n              24.77177232822881\n            ],\n            [\n              -82.6171875,\n              24.77177232822881\n            ],\n            [\n              -82.6171875,\n              24.462150693715266\n            ],\n            [\n              -83.1005859375,\n              24.462150693715266\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.09283447265625,\n              25.120419105501256\n            ],\n            [\n              -81.09283447265625,\n              25.564742726875785\n            ],\n            [\n              -80.6341552734375,\n              25.564742726875785\n            ],\n            [\n              -80.6341552734375,\n              25.120419105501256\n            ],\n            [\n              -81.09283447265625,\n              25.120419105501256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-23","publicationStatus":"PW","scienceBaseUri":"56fe3c2ce4b075ab2b2aa0aa","contributors":{"authors":[{"text":"Naro-Maciel, Eugenia","contributorId":138902,"corporation":false,"usgs":false,"family":"Naro-Maciel","given":"Eugenia","email":"","affiliations":[{"id":12576,"text":"College of Staten Island, Staten Island, New York","active":true,"usgs":false}],"preferred":false,"id":625738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":625737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruciata, Rossana","contributorId":168380,"corporation":false,"usgs":false,"family":"Cruciata","given":"Rossana","email":"","affiliations":[{"id":25274,"text":"Biology Dept., College of Staten Island, City University of New York","active":true,"usgs":false}],"preferred":false,"id":625739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Putman, Nathan Freeman","contributorId":145423,"corporation":false,"usgs":false,"family":"Putman","given":"Nathan","email":"","middleInitial":"Freeman","affiliations":[{"id":16119,"text":"National Marine Fisheries Service, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":625740,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169971,"text":"70169971 - 2016 - Habitat selection by green turtles in a spatially heterogeneous benthic landscape in Dry Tortugas National Park, Florida","interactions":[],"lastModifiedDate":"2016-07-11T15:47:17","indexId":"70169971","displayToPublicDate":"2016-03-31T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection by green turtles in a spatially heterogeneous benthic landscape in Dry Tortugas National Park, Florida","docAbstract":"<p><span>We examined habitat selection by green turtles<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Chelonia mydas</i><span><span class=\"Apple-converted-space\">&nbsp;</span>at Dry Tortugas National Park, Florida, USA. We tracked 15 turtles (6 females and 9 males) using platform transmitter terminals (PTTs); 13 of these turtles were equipped with additional acoustic transmitters. Location data by PTTs comprised periods of 40 to 226 d in varying months from 2009 to 2012. Core areas were concentrated in shallow water (mean bathymetry depth of 7.7 m) with a comparably dense coverage of seagrass; however, the utilization distribution overlap index indicated a low degree of habitat sharing. The probability of detecting a turtle on an acoustic receiver was inversely associated with the distance from the receiver to turtle capture sites and was lower in shallower water. The estimated daily detection probability of a single turtle at a given acoustic station throughout the acoustic array was small (&lt;0.1 in any year), and that of multiple turtle detections was even smaller. However, the conditional probability of multiple turtle detections, given at least one turtle detection at a receiver, was much higher despite the small number of tagged turtles in each year (n = 1 to 5). Also, multiple detections of different turtles at a receiver frequently occurred within a few minutes (40%, or 164 of 415, occurred within 1 min). Our numerical estimates of core area overlap, co-occupancy probabilities, and habitat characterization for green turtles could be used to guide conservation of the area to sustain the population of this species.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/ab00647","usgsCitation":"Fujisaki, I., Hart, K.M., and Sartain-Iverson, A.R., 2016, Habitat selection by green turtles in a spatially heterogeneous benthic landscape in Dry Tortugas National Park, Florida: Aquatic Biology, v. 24, no. 3, p. 185-199, https://doi.org/10.3354/ab00647.","productDescription":"15 p.","startPage":"185","endPage":"199","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061467","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00647","text":"Publisher Index Page"},{"id":319672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Torugas National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.056640625,\n              24.51713945052515\n            ],\n            [\n              -83.056640625,\n              24.74433692007308\n            ],\n            [\n              -82.71331787109375,\n              24.74433692007308\n            ],\n            [\n              -82.71331787109375,\n              24.51713945052515\n            ],\n            [\n              -83.056640625,\n              24.51713945052515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fe3c36e4b075ab2b2aa0bc","contributors":{"authors":[{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":625760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":625759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":625761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169091,"text":"fs20163016 - 2016 - Normal streamflows and water levels continue—Summary of hydrologic conditions in Georgia, 2014","interactions":[],"lastModifiedDate":"2016-04-01T13:07:37","indexId":"fs20163016","displayToPublicDate":"2016-03-31T12:00:00","publicationYear":"2016","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":"2016-3016","title":"Normal streamflows and water levels continue—Summary of hydrologic conditions in Georgia, 2014","docAbstract":"<p>The U.S. Geological Survey (USGS) South Atlantic Water Science Center (SAWSC) Georgia office, in cooperation with local, State, and other Federal agencies, maintains a long-term hydrologic monitoring network of more than 350 real-time, continuous-record, streamflow-gaging stations (streamgages). The network includes 14 real-time lake-level monitoring stations, 72 real-time surface-water-quality monitors, and several water-quality sampling programs. Additionally, the SAWSC Georgia office operates more than 204 groundwater monitoring wells, 39 of which are real-time. The wide-ranging coverage of streamflow, reservoir, and groundwater monitoring sites allows for a comprehensive view of hydrologic conditions across the State. One of the many benefits this monitoring network provides is a spatially distributed overview of the hydrologic conditions of creeks, rivers, reservoirs, and aquifers in Georgia.</p><p>Streamflow and groundwater data are verified throughout the year by USGS hydrographers and made available to water-resource managers, recreationists, and Federal, State, and local agencies. Hydrologic conditions are determined by comparing the statistical analyses of data collected during the current water year to historical data. Changing hydrologic conditions underscore the need for accurate, timely data to allow informed decisions about the management and conservation of Georgia’s water resources for agricultural, recreational, ecological, and water-supply needs and in protecting life and property.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163016","usgsCitation":"Knaak, A.E., Ankcorn, P.D., and Peck, M.F., 2016, Normal streamflows and water levels continue—Summary of hydrologic conditions in Georgia, 2014: U.S. Geological Survey Fact Sheet 2016–3016, 4 p., https://dx.doi.org/10.3133/fs20163016.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070931","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":319376,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3016/fs20163016.pdf","text":"Report","size":"4.34 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 \"}}]}","contact":"<p>Director, South Atlantic Water Science Center<br> U.S. Geological Survey<br> 720 Gracern Road<br> Columbia, SC 29210 <br> <a href=\"http://www.usgs.gov/water/southatlantic/\" data-mce-href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-03-31","noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"56fe3c40e4b075ab2b2aa0c9","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":622897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankcorn, Paul D. pankcorn@usgs.gov","contributorId":1447,"corporation":false,"usgs":true,"family":"Ankcorn","given":"Paul","email":"pankcorn@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":622898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":139975,"corporation":false,"usgs":true,"family":"Peck","given":"Michael","email":"mfpeck@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":622899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169092,"text":"fs20163015 - 2016 - Hydrologic Conditions in Kansas, water year 2015","interactions":[],"lastModifiedDate":"2016-03-31T09:42:51","indexId":"fs20163015","displayToPublicDate":"2016-03-31T00:00:00","publicationYear":"2016","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":"2016-3015","title":"Hydrologic Conditions in Kansas, water year 2015","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with Federal, State, and local agencies, maintains a long-term network of hydrologic monitoring sites in Kansas. In 2015, the network included about 200 real-time streamgages (hereafter referred to as “gages”), 12 real-time reservoir-level monitoring stations, and 30 groundwater-level monitoring wells. These data and associated analyses provide a unique overview of hydrologic conditions and help improve the understanding of Kansas’s water resources.</p><p>Real-time data are verified by the USGS throughout the year with regular measurements of streamflow, lake levels, and groundwater levels. These data are used in protecting life and property; and managing water resources for agricultural, industrial, public supply, ecological, and recreational purposes. Yearly hydrologic conditions are characterized by comparing statistical analyses of current and historical water year (WY) data for the period of record. A WY is the 12-month period from October 1 through September 30 and is designated by the year in which it ends.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163015","usgsCitation":"May, M.R., 2016, Summary of hydrologic conditions in Kansas, water year 2015: U.S. Geological Survey Fact Sheet 2016–3015, 4 p., https://dx.doi.org/10.3133/fs20163015.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2014-10-01","ipdsId":"IP-071107","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":319560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3015/coverthb.jpg"},{"id":319561,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3015/fs20163015.pdf","text":"Fact Sheet","size":"3.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3015"}],"country":"United States","state":"Kansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.541116,36.999573],[-99.648652,36.999604],[-99.657658,37.000197],[-99.875409,37.001659],[-99.995201,37.001631],[-100.115722,37.002206],[-100.193754,37.002133],[-100.552683,37.000735],[-100.734517,36.999059],[-100.756894,36.999357],[-100.855634,36.998626],[-100.904274,36.998745],[-100.945469,36.998153],[-101.012641,36.998176],[-101.359674,36.996232],[-102.04224,36.993083],[-102.041749,37.034397],[-102.041809,37.111973],[-102.042092,37.125021],[-102.041963,37.258164],[-102.041664,37.29765],[-102.042089,37.352819],[-102.041524,37.375018],[-102.042016,37.535261],[-102.041574,37.680436],[-102.042158,37.760164],[-102.042953,37.803535],[-102.044644,38.045532],[-102.044255,38.113011],[-102.044589,38.125013],[-102.044251,38.141778],[-102.044944,38.384419],[-102.044442,38.415802],[-102.044936,38.41968],[-102.045324,38.453647],[-102.045074,38.669617],[-102.045334,38.799463],[-102.046571,39.047038],[-102.04937,39.41821],[-102.049554,39.538932],[-102.050422,39.646048],[-102.050099,39.653812],[-102.050594,39.675594],[-102.051569,39.849805],[-102.051744,40.003078],[-101.904176,40.003162],[-101.841025,40.002784],[-101.409953,40.002354],[-101.324036,40.002696],[-100.937427,40.002145],[-100.75883,40.002302],[-100.66023,40.002162],[-100.645445,40.001883],[-100.196959,40.001494],[-99.990926,40.001503],[-99.948167,40.001813],[-99.930433,40.001516],[-99.813401,40.0014],[-99.772121,40.001804],[-99.756835,40.001342],[-99.746628,40.00182],[-99.49766,40.001912],[-99.423565,40.00227],[-99.412645,40.001868],[-99.282967,40.001879],[-99.018701,40.002333],[-98.710404,40.00218],[-98.690287,40.002548],[-98.652494,40.002245],[-98.64071,40.002493],[-98.560578,40.002274],[-98.274017,40.002516],[-98.250008,40.002307],[-98.193483,40.002614],[-98.099659,40.002227],[-97.838379,40.00191],[-97.777155,40.002167],[-97.510264,40.001835],[-97.369199,40.00206],[-97.20231,40.001442],[-97.142448,40.001495],[-97.137866,40.001814],[-97.049663,40.001323],[-96.916093,40.001506],[-96.622401,40.001158],[-96.610349,40.000881],[-96.467536,40.001035],[-96.125937,40.000432],[-96.02409,40.000719],[-95.30829,39.999998],[-95.308404,39.993758],[-95.30778,39.990618],[-95.307111,39.989114],[-95.302507,39.984357],[-95.289715,39.977706],[-95.274757,39.972115],[-95.269886,39.969396],[-95.261854,39.960618],[-95.257652,39.954886],[-95.250254,39.948644],[-95.241383,39.944949],[-95.236761,39.943931],[-95.231114,39.943784],[-95.220212,39.944433],[-95.21644,39.943953],[-95.213737,39.943206],[-95.204428,39.938949],[-95.201277,39.934194],[-95.20069,39.928155],[-95.20201,39.922438],[-95.205745,39.915169],[-95.206326,39.912121],[-95.206196,39.909557],[-95.205733,39.908275],[-95.201935,39.904053],[-95.199347,39.902709],[-95.193816,39.90069],[-95.189565,39.899959],[-95.179453,39.900062],[-95.172296,39.902026],[-95.159834,39.906984],[-95.156024,39.907243],[-95.149657,39.905948],[-95.146055,39.904183],[-95.143802,39.901918],[-95.142563,39.897992],[-95.142445,39.89542],[-95.143403,39.889356],[-95.142718,39.885889],[-95.140601,39.881688],[-95.137092,39.878351],[-95.134747,39.876852],[-95.128166,39.874165],[-95.105912,39.869164],[-95.090158,39.86314],[-95.085003,39.861883],[-95.081534,39.861718],[-95.052535,39.864374],[-95.042142,39.864805],[-95.037767,39.865542],[-95.032053,39.868337],[-95.027931,39.871522],[-95.025422,39.876711],[-95.025119,39.878833],[-95.025947,39.886747],[-95.02524,39.8897],[-95.024389,39.891202],[-95.018743,39.897372],[-95.013152,39.899953],[-95.00844,39.900596],[-95.003819,39.900401],[-94.990284,39.89701],[-94.986975,39.89667],[-94.977749,39.897472],[-94.963345,39.901136],[-94.959276,39.901671],[-94.95154,39.900533],[-94.943867,39.89813],[-94.934493,39.893366],[-94.929574,39.888754],[-94.927897,39.886112],[-94.927359,39.883966],[-94.927252,39.880258],[-94.928466,39.876344],[-94.931463,39.872602],[-94.938791,39.866954],[-94.940743,39.86441],[-94.942407,39.861066],[-94.942567,39.856602],[-94.939767,39.85193],[-94.937655,39.849786],[-94.92615,39.841322],[-94.916918,39.836138],[-94.909942,39.834426],[-94.903157,39.83385],[-94.892677,39.834378],[-94.889493,39.834026],[-94.886933,39.833098],[-94.881013,39.828922],[-94.878677,39.826522],[-94.877044,39.823754],[-94.876544,39.820594],[-94.875944,39.813294],[-94.876344,39.806894],[-94.880932,39.797338],[-94.884084,39.794234],[-94.890292,39.791626],[-94.892965,39.791098],[-94.925605,39.789754],[-94.929654,39.788282],[-94.932726,39.786282],[-94.935206,39.78313],[-94.935782,39.778906],[-94.935302,39.77561],[-94.934262,39.773642],[-94.929653,39.769098],[-94.926229,39.76649],[-94.916789,39.760938],[-94.912293,39.759338],[-94.906244,39.759418],[-94.899156,39.761258],[-94.895268,39.76321],[-94.883924,39.770186],[-94.88146,39.771258],[-94.871144,39.772994],[-94.869644,39.772894],[-94.867143,39.771694],[-94.865243,39.770094],[-94.863143,39.767294],[-94.860743,39.76309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 \"}}]}","contact":"<p>Director, Kansas Water Science Center<br>U.S. Geological Survey<br>4821 Quail Crest Place <br>Lawrence, Kansas 66049</p><p><a href=\"http://ks.water.usgs.gov/\" data-mce-href=\"http://ks.water.usgs.gov/\">http://ks.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Statewide Precipitation Overview and Associated Recent Trends</li><li>Streamflow Conditions and Drainage Basin Runoff</li><li>Reservoirs</li><li>Streamflow Conditions at Selected Streamgages</li><li>Flooding and Record-High Streamflows</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-03-31","noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"56fe3c38e4b075ab2b2aa0c2","contributors":{"authors":[{"text":"May, Madison R. 0000-0001-9628-4041 mmay@usgs.gov","orcid":"https://orcid.org/0000-0001-9628-4041","contributorId":167612,"corporation":false,"usgs":true,"family":"May","given":"Madison","email":"mmay@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":622900,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70133951,"text":"70133951 - 2016 - Relationships between diatoms and tidal environments in Oregon and Washington, USA","interactions":[],"lastModifiedDate":"2016-07-08T12:34:45","indexId":"70133951","displayToPublicDate":"2016-03-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1388,"text":"Diatom Research","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between diatoms and tidal environments in Oregon and Washington, USA","docAbstract":"<p><span>A new regional dataset comprising 425 intertidal diatom taxa from 175 samples from 11 ecologically diverse Oregon and Washington estuaries illustrates the importance of compiling a large modern dataset from a range of sites. Cluster analyses and detrended correspondence analysis of the diatom assemblages identify distinct vertical zones within supratidal, intertidal and subtidal environments at six of the 11 study sites, but the abundance of some of the most common species varies widely among and within sites. Canonical correspondence analysis of the regional dataset shows relationships between diatom species and tidal exposure, salinity and substratum (grain size and organic content). Correspondence analyses of local datasets show higher values of explained variation than the analysis of the combined regional dataset. Our results emphasize that studies of the autecology of diatom species require many samples from a range of modern environments to adequately characterize species&ndash;environment relationships.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/0269249X.2015.1126359","usgsCitation":"Sawai, Y., Horton, B.P., Kemp, A., Hawkes, A., Nagumo, T., and Nelson, A.R., 2016, Relationships between diatoms and tidal environments in Oregon and Washington, USA: Diatom Research, v. 31, no. 1, p. 17-38, https://doi.org/10.1080/0269249X.2015.1126359.","productDescription":"22 p.","startPage":"17","endPage":"38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060993","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/0269249x.2015.1126359","text":"Publisher Index Page"},{"id":324923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.727783203125,\n              42.42345651793833\n            ],\n            [\n              -124.727783203125,\n              46.882723010671945\n            ],\n            [\n              -123.695068359375,\n              46.882723010671945\n            ],\n            [\n              -123.695068359375,\n              42.42345651793833\n            ],\n            [\n              -124.727783203125,\n              42.42345651793833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"5780cebee4b08116168223ad","contributors":{"authors":[{"text":"Sawai, Yuki","contributorId":127509,"corporation":false,"usgs":false,"family":"Sawai","given":"Yuki","email":"","affiliations":[{"id":6981,"text":"National Institute of Advanced Industrial Science and Technology, AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":525532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":525533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemp, Andrew C.","contributorId":39674,"corporation":false,"usgs":true,"family":"Kemp","given":"Andrew C.","affiliations":[],"preferred":false,"id":525534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, Andrea D.","contributorId":20240,"corporation":false,"usgs":true,"family":"Hawkes","given":"Andrea D.","affiliations":[],"preferred":false,"id":525535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagumo, Tamostsu","contributorId":127510,"corporation":false,"usgs":false,"family":"Nagumo","given":"Tamostsu","email":"","affiliations":[{"id":6982,"text":"The Nippon Dental University","active":true,"usgs":false}],"preferred":false,"id":525536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":525537,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70169126,"text":"ofr20161044 - 2016 - USGS approach to real-time estimation of earthquake-triggered ground failure - Results of 2015 workshop","interactions":[],"lastModifiedDate":"2016-03-30T16:33:14","indexId":"ofr20161044","displayToPublicDate":"2016-03-30T14:45:00","publicationYear":"2016","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":"2016-1044","title":"USGS approach to real-time estimation of earthquake-triggered ground failure - Results of 2015 workshop","docAbstract":"<p>The U.S. Geological Survey (USGS) Earthquake Hazards and Landslide Hazards Programs are developing plans to add quantitative hazard assessments of earthquake-triggered landsliding and liquefaction to existing real-time earthquake products (ShakeMap, ShakeCast, PAGER) using open and readily available methodologies and products. To date, prototype global statistical models have been developed and are being refined, improved, and tested. These models are a good foundation, but much work remains to achieve robust and defensible models that meet the needs of end users. In order to establish an implementation plan and identify research priorities, the USGS convened a workshop in Golden, Colorado, in October 2015. This document summarizes current (as of early 2016) capabilities, research and operational priorities, and plans for further studies that were established at this workshop. Specific priorities established during the meeting include (1) developing a suite of alternative models; (2) making use of higher resolution and higher quality data where possible; (3) incorporating newer global and regional datasets and inventories; (4) reducing barriers to accessing inventory datasets; (5) developing methods for using inconsistent or incomplete datasets in aggregate; (6) developing standardized model testing and evaluation methods; (7) improving ShakeMap shaking estimates, particularly as relevant to ground failure, such as including topographic amplification and accounting for spatial variability; and (8) developing vulnerability functions for loss estimates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161044","usgsCitation":"Allstadt, K.E.; Thompson, E.M.; Wald, D.J.; Hamburger, M.W.; Godt, J.W.; Knudsen, K.L.; Jibson, R.W.; Jessee, M.A.; Zhu, Jing; Hearne, Michael; Baise, L.G.; Tanyas, Hakan; and Marano, K.D., 2016, USGS approach to real-time estimation of earthquake-triggered ground failure—Results of 2015 workshop: U.S. Geological Survey Open-File Report 2016–1044, 13 p., https://dx.doi.org/10.3133/ofr20161044. ","productDescription":"iii, 13 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073401","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":319581,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1044/coverthb.jpg"},{"id":319582,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1044/ofr20161044.pdf","text":"Report","size":"348 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1044"}],"contact":"<p>Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS 966<br>Denver, CO 80225-0046</p><p><a href=\"https://geohazards.usgs.gov/\" data-mce-href=\"https://geohazards.usgs.gov/\">https://geohazards.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Existing Capabilities and Datasets</li><li>Strategies and Challenges</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Workshop Agenda</li><li>Appendix 2. List of Secondary Hazards Workshop Attendees</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-03-30","noUsgsAuthors":false,"publicationDate":"2016-03-30","publicationStatus":"PW","scienceBaseUri":"56fcec51e4b0a6037df29fe3","contributors":{"authors":[{"text":"Allstadt, Kate E.","contributorId":138696,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate E.","affiliations":[],"preferred":false,"id":623114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M.","contributorId":48501,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric M.","affiliations":[],"preferred":false,"id":623115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":623116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamburger, Michael W.","contributorId":77012,"corporation":false,"usgs":true,"family":"Hamburger","given":"Michael W.","affiliations":[],"preferred":false,"id":623117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":623118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knudsen, Keith L. 0000-0003-2826-5812 kknudsen@usgs.gov","orcid":"https://orcid.org/0000-0003-2826-5812","contributorId":3758,"corporation":false,"usgs":true,"family":"Knudsen","given":"Keith","email":"kknudsen@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":623119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":623120,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jessee, M. Anna","contributorId":167685,"corporation":false,"usgs":false,"family":"Jessee","given":"M.","email":"","middleInitial":"Anna","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":623121,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhu, Jing","contributorId":152048,"corporation":false,"usgs":false,"family":"Zhu","given":"Jing","email":"","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":623122,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hearne, Michael","contributorId":91377,"corporation":false,"usgs":true,"family":"Hearne","given":"Michael","affiliations":[],"preferred":false,"id":623123,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baise, Laurie G.","contributorId":127395,"corporation":false,"usgs":false,"family":"Baise","given":"Laurie","email":"","middleInitial":"G.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":623124,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tanyas, Hakan","contributorId":167686,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":625545,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marano, Kristin D.","contributorId":54683,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin D.","affiliations":[],"preferred":false,"id":623126,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70170433,"text":"70170433 - 2016 - Scripting MODFLOW model development using Python and FloPy","interactions":[],"lastModifiedDate":"2016-10-21T13:43:28","indexId":"70170433","displayToPublicDate":"2016-03-30T07:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Scripting MODFLOW model development using Python and FloPy","docAbstract":"<p><span>Graphical user interfaces (GUIs) are commonly used to construct and postprocess numerical groundwater flow and transport models. Scripting model development with the programming language Python is presented here as an alternative approach. One advantage of Python is that there are many packages available to facilitate the model development process, including packages for plotting, array manipulation, optimization, and data analysis. For MODFLOW-based models, the FloPy package was developed by the authors to construct model input files, run the model, and read and plot simulation results. Use of Python with the available scientific packages and FloPy facilitates data exploration, alternative model evaluations, and model analyses that can be difficult to perform with GUIs. Furthermore, Python scripts are a complete, transparent, and repeatable record of the modeling process. The approach is introduced with a simple FloPy example to create and postprocess a MODFLOW model. A more complicated capture-fraction analysis with a real-world model is presented to demonstrate the types of analyses that can be performed using Python and FloPy.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12413","usgsCitation":"Bakker, M., Post, V., Langevin, C.D., Hughes, J.D., White, J.T., Starn, J., and Fienen, M., 2016, Scripting MODFLOW model development using Python and FloPy: Groundwater, v. 54, no. 5, p. 733-739, https://doi.org/10.1111/gwat.12413.","productDescription":"7 p.","startPage":"733","endPage":"739","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069750","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":320582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-30","publicationStatus":"PW","scienceBaseUri":"57209138e4b071321fe65690","contributors":{"authors":[{"text":"Bakker, Mark","contributorId":56137,"corporation":false,"usgs":true,"family":"Bakker","given":"Mark","email":"","affiliations":[],"preferred":false,"id":627194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Post, Vincent E. A.","contributorId":166764,"corporation":false,"usgs":false,"family":"Post","given":"Vincent E. A.","affiliations":[{"id":24501,"text":"National Centre for Groundwater Reserach and Training, Flinders Univ.","active":true,"usgs":false}],"preferred":false,"id":627195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":627193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":627196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627197,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Starn, Jeffrey jjstarn@usgs.gov","contributorId":149231,"corporation":false,"usgs":true,"family":"Starn","given":"Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627199,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70175384,"text":"70175384 - 2016 - Changes in the prevalence of avian disease and mosquito vectors at Hakalau Forest National Wildlife Refuge: a 14-year perspective and assessment of future risk","interactions":[],"lastModifiedDate":"2018-01-04T12:59:02","indexId":"70175384","displayToPublicDate":"2016-03-30T02:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-073","title":"Changes in the prevalence of avian disease and mosquito vectors at Hakalau Forest National Wildlife Refuge: a 14-year perspective and assessment of future risk","docAbstract":"<p>Throughout the main Hawaiian Islands, introduced mosquito-borne disease has had, and continues to have, a profound impact on the distributions and abundance of native Hawaiian forest birds. Populations of remaining native forest birds are largely restricted to high elevation forests where mean temperatures are marginal for vector and parasite development and limited availability of larval mosquito habitat constrains mosquito populations and disease transmission. Hakalau Forest National Wildlife Refuge (HFNWR) was established for the preservation of endemic avifauna in 1985. Since its creation, native bird communities there have remained intact and most species populations are stable or increasing. However, avian malaria had been detected at HFNWR in the past and, in light of documented climate change, new concerns have been raised regarding the long-term fate of the refuge&rsquo;s forest birds. To examine the possible changes in avian malaria transmission at HFNWR we sampled forest birds for blood parasites, trapped adult mosquitoes and surveyed larval mosquito habitat at three sites during 2012 and compared our results with similar data collected between 1998 and 1999. We tested blood samples by polymerase chain reaction (PCR), immunoblotting, and microscopy to determine prevalence of acute and chronic infection and used attractive gravid traps to sample the vector mosquito <i>Culex quinquefasciatus.</i></p>\n<p>Our study documented spatial trends and temporal changes in the prevalence of avian malaria, mosquito presence, larval mosquito habitat and feral pig activity at HFNWR. We found evidence of local transmission in high elevation forests, a general pattern of increasing prevalence at lower elevations and along a South to North gradient and a two-fold decrease in the prevalence of avian malaria in the intervening 14 years. Despite considerable effort, we were unable to detect larval <i>C. quinquefasciatus</i> and captured only one adult indicating that the vector of avian malaria has a very limited presence at HFNWR. We did, however, document the establishment of another invasive mosquito,<i> Aedes japonicus japonicus</i>, and its occurrence in tree fern cavities and rock pools as larval habitat in the lower forests of HFNWR. We suggest that interspecific competition by<i> A. j. japonicus</i> and predation by a suite of native predators may provide biotic resistance to the establishment of permanent <i>C. quinquefasciatus</i> populations. While current predictions of climate change in the Hawaiian Islands include a gradual warming and enhanced transmission by mid-century, the current cooling trend recorded at high elevation HFNWR illustrates the importance of monitoring to document fine scale temporal and site specific changes in prevalence. Long term changes in precipitation may have a more profound effect on local transmission of malaria than temperature and we may have already seen some potential impacts of an extended drought at HFNWR with a decrease in feral pig activity and pig associated larval mosquito habitat and increases in stream-associated larval mosquito habitat.&nbsp;</p>\n<p>&nbsp;</p>","language":"English","publisher":"University of Hawai'i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"LaPointe, D., Gaudioso-Levita, J.M., Atkinson, C.T., Egan, A.N., and Hayes, K., 2016, Changes in the prevalence of avian disease and mosquito vectors at Hakalau Forest National Wildlife Refuge: a 14-year perspective and assessment of future risk: Technical Report HCSU-073, Report: iv, 57 p.","productDescription":"Report: iv, 57 p.","startPage":"1","endPage":"57","numberOfPages":"61","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326267,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawaii","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad3fe4b05e859bdfb88b","contributors":{"authors":[{"text":"LaPointe, Dennis dlapointe@usgs.gov","contributorId":2926,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":645003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaudioso-Levita, Jacqueline M.","contributorId":173531,"corporation":false,"usgs":false,"family":"Gaudioso-Levita","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":645004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":645005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egan, Ariel N.","contributorId":150954,"corporation":false,"usgs":false,"family":"Egan","given":"Ariel","email":"","middleInitial":"N.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":645006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Kathleen","contributorId":173532,"corporation":false,"usgs":false,"family":"Hayes","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":645007,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70169889,"text":"70169889 - 2016 - Tracking millennial-scale Holocene glacial advance and retreat using osmium isotopes: Insights from the Greenland ice sheet","interactions":[],"lastModifiedDate":"2016-03-29T12:36:48","indexId":"70169889","displayToPublicDate":"2016-03-29T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Tracking millennial-scale Holocene glacial advance and retreat using osmium isotopes: Insights from the Greenland ice sheet","docAbstract":"<p><span>High-resolution Os isotope stratigraphy can aid in reconstructing Pleistocene ice sheet fluctuation and elucidating the role of local and regional weathering fluxes on the marine Os residence time. This paper presents new Os isotope data from ocean cores adjacent to the West Greenland ice sheet that have excellent chronological controls. Cores MSM-520 and DA00-06 represent distal to proximal sites adjacent to two West Greenland ice streams. Core MSM-520 has a steadily decreasing Os signal over the last 10&nbsp;kyr (</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os&nbsp;=&nbsp;1.35&ndash;0.81). In contrast, Os isotopes from core DA00-06 (proximal to the calving front of Jakobshavn Isbr&aelig;) highlight four stages of ice stream retreat and advance over the past 10&nbsp;kyr (</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os&nbsp;=&nbsp;2.31; 1.68; 2.09; 1.47). Our high-resolution chemostratigraphic records provide vital benchmarks for ice-sheet modelers as we attempt to better constrain the future response of major ice sheets to climate change. Variations in Os isotope composition from sediment and macro-algae (seaweed) sourced from regional and global settings serve to emphasize the overwhelming effect weathering sources have on seawater Os isotope composition. Further, these findings demonstrate that the residence time of Os is shorter than previous estimates of &sim;10</span><sup>4</sup><span>&nbsp;yr.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.02.021","usgsCitation":"Rooney, A.D., Selby, D., Llyod, J.M., Roberts, D.H., Luckge, A., Sageman, B.B., and Prouty, N.G., 2016, Tracking millennial-scale Holocene glacial advance and retreat using osmium isotopes: Insights from the Greenland ice sheet: Quaternary Science Reviews, v. 138, p. 49-61, https://doi.org/10.1016/j.quascirev.2016.02.021.","productDescription":"13 p.","startPage":"49","endPage":"61","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067388","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2016.02.021","text":"Publisher Index Page"},{"id":319578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"138","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fb9931e4b0a6037df18814","contributors":{"authors":[{"text":"Rooney, Alan D.","contributorId":168317,"corporation":false,"usgs":false,"family":"Rooney","given":"Alan","email":"","middleInitial":"D.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":625472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":625473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Llyod, Jeremy M.","contributorId":168319,"corporation":false,"usgs":false,"family":"Llyod","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":625474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, David H.","contributorId":168320,"corporation":false,"usgs":false,"family":"Roberts","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":625475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luckge, Andreas","contributorId":168321,"corporation":false,"usgs":false,"family":"Luckge","given":"Andreas","email":"","affiliations":[{"id":25253,"text":"Bundesanstalt für Geowissenschaften und Rohstoffe","active":true,"usgs":false}],"preferred":false,"id":625476,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sageman, Bradley B.","contributorId":168322,"corporation":false,"usgs":false,"family":"Sageman","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":625477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625471,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70126663,"text":"sir20145189 - 2016 - Design and testing of a process-based groundwater vulnerability assessment (P-GWAVA) system for predicting concentrations of agrichemicals in groundwater across the United States","interactions":[],"lastModifiedDate":"2016-03-30T08:44:27","indexId":"sir20145189","displayToPublicDate":"2016-03-29T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5189","title":"Design and testing of a process-based groundwater vulnerability assessment (P-GWAVA) system for predicting concentrations of agrichemicals in groundwater across the United States","docAbstract":"<p>Efforts to assess the likelihood of groundwater contamination from surface-derived compounds have spanned more than three decades. Relatively few of these assessments, however, have involved the use of process-based simulations of contaminant transport and fate in the subsurface, or compared the predictions from such models with measured data—especially over regional to national scales. To address this need, a process-based groundwater vulnerability assessment (P-GWAVA) system was constructed to use transport-and-fate simulations to predict the concentration of any surface-derived compound at a specified depth in the vadose zone anywhere in the conterminous United States. The system was then used to simulate the concentrations of selected agrichemicals in the vadose zone beneath agricultural areas in multiple locations across the conterminous United States. The simulated concentrations were compared with measured concentrations of the compounds detected in shallow groundwater (that is, groundwater drawn from within a depth of 6.3 ± 0.5 meters [mean ± 95 percent confidence interval] below the water table) in more than 1,400 locations across the United States. The results from these comparisons were used to select the simulation approaches that led to the closest agreement between the simulated and the measured concentrations.</p><p>The P-GWAVA system uses computer simulations that account for a broader range of the hydrologic, physical, biological and chemical phenomena known to control the transport and fate of solutes in the subsurface than has been accounted for by any other vulnerability assessment over regional to national scales. Such phenomena include preferential transport and the influences of temperature, soil properties, and depth on the partitioning, transport, and transformation of pesticides in the subsurface. Published methods and detailed soil property data are used to estimate a wide range of model input parameters for each site, including surface albedo, surface crust permeability, soil water content, Brooks-Corey parameters, saturated hydraulic conductivity, macroporosity and sizes of microbial populations, as well as solute partition coefficients, reaction rates, and meso-micropore diffusion rates. To ensure geographic consistency among the predictions, the only site-specific input data that are used are those that are available for all of the 48 conterminous states.</p>","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, V.A","doi":"10.3133/sir20145189","collaboration":"Prepared in cooperation with National Water-Quality Assessment Program","usgsCitation":"Barbash, J.E., and Voss, F.D., 2016, Design and testing of a process-based groundwater vulnerability assessment (P-GWAVA) system for predicting concentrations of agrichemicals in groundwater across the United States: U.S. Geological Survey Scientific Investigations Report 2014–5189, 210 p., https://dx.doi.org/10.3133/sir20145189.","productDescription":"xvi, 210 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044178","costCenters":[{"id":622,"text":"Washington Water Science 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            45.75219336063106\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.72900390625001,\n              47.32393057095941\n            ],\n            [\n              -118.41064453125,\n              47.44294999517949\n            ],\n            [\n              -118.58642578124999,\n              46.31658418182218\n            ],\n            [\n              -119.42138671875,\n              46.36209301204985\n            ],\n            [\n              -119.72900390625001,\n              47.32393057095941\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.0703125,\n              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Conclusions</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Glossary</li>\n<li>Appendix A. Previous Assessments of Groundwater Vulnerability</li>\n<li>Appendix B. Equations Used to Estimate Deethylatrazine Formation Percentage</li>\n<li>Appendix C. Groundwater Sampling Networks Examined</li>\n</ul>","publishedDate":"2016-03-29","noUsgsAuthors":false,"publicationDate":"2016-03-29","publicationStatus":"PW","scienceBaseUri":"56fb991ee4b0a6037df187f2","contributors":{"authors":[{"text":"Barbash, Jack E","contributorId":118830,"corporation":false,"usgs":true,"family":"Barbash","given":"Jack","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":519585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519584,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168727,"text":"ds972 - 2016 - Archive of Digital Chirp Subbottom Profile Data Collected During USGS Cruise 14BIM05 Offshore of Breton Island, Louisiana, August 2014","interactions":[],"lastModifiedDate":"2016-05-19T09:23:43","indexId":"ds972","displayToPublicDate":"2016-03-29T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"972","title":"Archive of Digital Chirp Subbottom Profile Data Collected During USGS Cruise 14BIM05 Offshore of Breton Island, Louisiana, August 2014","docAbstract":"<p>From August 11 to 31, 2014, the&nbsp;<abbr title=\"United States\">U.S.</abbr>&nbsp;Geological Survey (<abbr title=\"U.S. Geological Survey\">USGS</abbr>), in cooperation with the U.S. Fish and Wildlife Service (<abbr title=\"U.S. Fish and Wildlife Service\">USFWS</abbr>), conducted a geophysical survey to investigate the geologic controls on barrier island framework and long-term sediment transport offshore of Breton Island, Louisiana as part of a broader&nbsp;<abbr title=\"U.S. Geological Survey\">USGS</abbr>&nbsp;study on Barrier Island Mapping (<abbr title=\"Barrier Island Mapping\">BIM</abbr>). Additional details related to this activity can be found by searching the USGS's Coastal and Marine Geoscience Data System (CMGDS), for field activity&nbsp;<a href=\"http://cmgds.marine.usgs.gov/fan_info.php?fan=2014-317-FA\" target=\"_blank\">2014-317-FA</a>&nbsp;(also known as 14BIM05). These surveys were funded through the&nbsp;<abbr title=\"U.S. Geological Survey\">USGS</abbr>&nbsp;Coastal and Marine Geology Program (<abbr title=\"Coastal and Marine Geology Program\">CMGP</abbr>) and the Louisiana Outer Coast Early Restoration Project. This report serves as an archive of unprocessed digital chirp subbottom data, trackline maps, navigation files, Geographic Information System (<abbr title=\"Geographic Information System\">GIS</abbr>) files, Field Activity Collection System (<acronym title=\"Field Activity Collection System\">FACS</acronym>) logs, and formal Federal Geographic Data Committee (<abbr title=\"Federal Geographic Data Committee\">FGDC</abbr>) metadata. Gained digital images of the seismic profiles are also provided. Refer to the&nbsp;<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_abbreviations.html\">Abbreviations</a>&nbsp;page for explanations of acronyms and abbreviations used in this report.</p>\n<p>All chirp systems use an acoustic signal of continuously varying frequency; the EdgeTech 512i system used during this survey produced high-resolution, shallow-penetration (typically less than 50 milliseconds [<abbr title=\"millisecond\">ms]</abbr>) profile images of sub-seafloor stratigraphy. The towfish contains a transducer that transmits and receives acoustic energy and typically is towed 1&ndash;2 meters (<abbr title=\"meters\">m</abbr>) below the sea surface. As transmitted acoustic energy intersects density boundaries, such as the seafloor or sub-surface sediment layers, some energy is reflected back toward the transducer, received, and recorded by a Personal Computer (<abbr title=\"personal computer\">PC)</abbr>-based seismic acquisition system. This process is repeated at regular intervals (for example, 0.125 seconds (<abbr title=\"seconds\">s)</abbr>) and returned energy is recorded for a specific duration (for example, 50&nbsp;<abbr title=\"milliseconds\">ms</abbr>). In this way, a two-dimensional (<abbr title=\"Two-Dimensional\">2-D</abbr>) vertical image of the shallow geologic structure beneath the ship's track is produced.&nbsp;<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_acquisition.html\">Figure 2</a>&nbsp;displays the acquisition geometry. Refer to&nbsp;<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_table1.html\">table 1</a>&nbsp;for a summary of acquisition parameters and&nbsp;<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_table2.html\">table 2</a>&nbsp;for trackline statistics.</p>\n<p>The archived trace data are in standard&nbsp;<a href=\"http://www.seg.org/resources/publications/misc/technical-standards\" target=\"_blank\"><acronym title=\"Society of Exploration Geophysicists\">SEG</acronym>&nbsp;Y&nbsp;<abbr title=\"revision\">rev.</abbr>&nbsp;0</a>&nbsp;format (Barry and others, 1975); the first 3,200 bytes of the card image header are in American Standard Code for Information Interchange (<acronym title=\"American Standard Code for Information Interchange\">ASCII</acronym>) format instead of Extended Binary Coded Decimal Interchange Code (<abbr title=\"Extended Binary Coded Decimal Interchange Code\">EBCDIC</abbr>) format. The&nbsp;<acronym title=\"Society of Exploration Geophysicists\">SEG</acronym>&nbsp;Y files are available on the&nbsp;<abbr title=\"Digital Versatile Disc\">DVD</abbr>&nbsp;version of this report or online, downloadable via the&nbsp;<abbr title=\"United States Geological Survey\">USGS</abbr>&nbsp;Coastal and Marine Geoscience Data System (<a href=\"http://cmgds.marine.usgs.gov/\" target=\"blank\">http://cmgds.marine.usgs.gov</a>). The data are also available for viewing using GeoMapApp (<a href=\"http://www.geomapapp.org/\" target=\"blank\">http://www.geomapapp.org</a>) and Virtual Ocean (<a href=\"http://www.virtualocean.org/\" target=\"blank\">http://www.virtualocean.org</a>) multi-platform open source software.&nbsp;<i>The Web version of this archive does not contain the&nbsp;<acronym title=\"Society of Exploration Geophysicists\">SEG</acronym>&nbsp;Y trace files. To obtain the complete&nbsp;<abbr title=\"Digital Versatile Disc\">DVD</abbr>&nbsp;archive, contact&nbsp;<abbr title=\"United States Geological Survey\">USGS</abbr>&nbsp;Information Services at 1-888-ASK-USGS or infoservices@usgs.gov.</i>&nbsp;The&nbsp;<acronym title=\"Society of Exploration Geophysicists\">SEG</acronym>&nbsp;Y files may be downloaded and processed with commercial or public domain software such as&nbsp;<a href=\"http://www.cwp.mines.edu/cwpcodes/index.html\" target=\"_blank\">Seismic Unix</a>&nbsp;(<abbr title=\"Seismic Unix\">SU</abbr>) (Cohen and Stockwell, 2010). See the&nbsp;<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_download.html\">How To Download&nbsp;<acronym title=\"Society of Exploration Geophysicists\">SEG</acronym>&nbsp;Y Data</a>&nbsp;page for download instructions. The printable profiles are provided as Graphics Interchange Format (<acronym title=\"Graphics Interchange Format\">GIF</acronym>) images processed and gained using&nbsp;<abbr title=\"Seismic Unix\">SU</abbr>&nbsp;software and can be viewed from the<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_profiles.html\">Profiles</a>&nbsp;page or by using the links located on the trackline maps; refer to the&nbsp;<a href=\"http://pubs.usgs.gov/ds/0972/html/ds972_software.html\">Software</a>&nbsp;page for links to example&nbsp;<abbr title=\"Seismic Unix\">SU</abbr>&nbsp;processing scripts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds972","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Forde, A.S., Flocks, J.G.,  Wiese, D.S., and Fredericks, J.J., 2016, Archive of digital chirp subbottom profile data collected during USGS cruise 14BIM05 offshore of Breton Island, Louisiana, August 2014: U.S. Geological Survey Data Series 972, 2 <abbr title=\"Digital Versatile Disc\">DVD</abbr>s, https://dx.doi.org/10.3133/ds972.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2015-07-06","ipdsId":"IP-066412","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":319579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":318891,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0972/index.html"}],"country":"United States","state":"Louisana","otherGeospatial":"Offshore of Breton Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.18495178222656,\n              29.3731998810922\n            ],\n            [\n              -89.18495178222656,\n              29.48204540447416\n            ],\n            [\n              -89.07028198242188,\n              29.48204540447416\n            ],\n            [\n              -89.07028198242188,\n              29.3731998810922\n            ],\n            [\n              -89.18495178222656,\n              29.3731998810922\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, St. Petersburg Coastal and Marine Science Center<br /> U.S. Geological Survey<br /> 600 4th Street South<br /> St. Petersburg, FL 33701<br /> (727) 502-8000<br /> <a href=\"http://coastal.er.usgs.gov\">http://coastal.er.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Information Statement</li>\n<li>System Requirements</li>\n<li>Getting Started</li>\n<li>Disc Organization</li>\n<li>Project Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-03-29","noUsgsAuthors":false,"publicationDate":"2016-03-29","publicationStatus":"PW","scienceBaseUri":"56fb991be4b0a6037df187eb","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":621436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":621437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":621438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fredericks, Jake J.","contributorId":167233,"corporation":false,"usgs":false,"family":"Fredericks","given":"Jake","email":"","middleInitial":"J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":621439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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